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Branch: master
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Total size: 149.3 MB
Directory structure:
gitextract_7whrqetw/
├── .gitignore
├── README.md
├── week-1/
│ ├── titanic.csv
│ ├── week-1-homework.ipynb
│ └── week-1.pptx
├── week-2/
│ ├── menendez-press-releases.csv
│ ├── state-of-the-union.csv
│ ├── uk-lords-votes.csv
│ ├── week-2-1-class.ipynb
│ ├── week-2-1-homework.ipynb
│ ├── week-2-1.pptx
│ ├── week-2-2-class-empty.ipynb
│ ├── week-2-2-class.ipynb
│ └── week-2-2-homework.ipynb
├── week-3/
│ ├── Simpson's Paradox.ipynb
│ ├── anes_timeseries_2016_rawdata.csv
│ ├── apib12tx.csv
│ ├── height-weight.csv
│ ├── tickets-warnings.csv
│ ├── titanic.csv
│ ├── week-3-1-class.ipynb
│ ├── week-3-1-homework.ipynb
│ ├── week-3-2-class.ipynb
│ ├── week-3-2-homework.ipynb
│ └── week-3.pptx
├── week-4/
│ ├── GSS-spending.csv
│ ├── Machine learning with Overview.ipynb
│ ├── bills.csv
│ ├── category-training.csv
│ ├── ontime_reports_may_2015_ny.csv
│ ├── titanic.csv
│ ├── week-4-1-supervised-learning-class-empty.ipynb
│ ├── week-4-1-supervised-learning-class.ipynb
│ ├── week-4-1-supervised-learning-homework.ipynb
│ ├── week-4-2-feature-selection-class.ipynb
│ ├── week-4-2-text-classification-homework.ipynb
│ └── wine.csv
├── week-5/
│ ├── LCDataDictionary.xlsx
│ ├── compas-scores-two-years-violent.csv
│ ├── compas-scores-two-years.csv
│ ├── kitchen-confusion-matrix.csv
│ ├── kitchen-confusion-matrix.ipynb
│ ├── lights-camera-algorithm-2.csv
│ ├── loan-subset.csv
│ ├── prepare-loan-data.py
│ ├── week-5-1-fairness-tradeoffs-homework.ipynb
│ ├── week-5-1-machine-bias-class-empty.ipynb
│ ├── week-5-1-machine-bias-class.ipynb
│ ├── week-5-1.pptx
│ ├── week-5-2-lending-class-empty.ipynb
│ ├── week-5-2-lending-class.ipynb
│ └── week-5-2.pptx
└── week-6/
├── README.md
├── Simple Polling Simulation.ipynb
├── data/
│ ├── 15-16-cycle-disbursements-to-trump-properties.csv
│ ├── 16-US-Pres-GE TrumpvClinton-poll-responses-clean.tsv
│ ├── AK.tsv
│ ├── AL.tsv
│ ├── AR.tsv
│ ├── AZ.tsv
│ ├── CA.tsv
│ ├── CO.tsv
│ ├── CT.tsv
│ ├── DE.tsv
│ ├── FL.tsv
│ ├── GA.tsv
│ ├── HI.tsv
│ ├── IA.tsv
│ ├── ID.tsv
│ ├── IL.tsv
│ ├── IN.tsv
│ ├── KS.tsv
│ ├── KY.tsv
│ ├── LA.tsv
│ ├── MA.tsv
│ ├── MD.tsv
│ ├── ME.tsv
│ ├── MI.tsv
│ ├── MN.tsv
│ ├── MO.tsv
│ ├── MS.tsv
│ ├── MT.tsv
│ ├── NC.tsv
│ ├── ND.tsv
│ ├── NE.tsv
│ ├── NH.tsv
│ ├── NJ.tsv
│ ├── NM.tsv
│ ├── NV.tsv
│ ├── NY.tsv
│ ├── OH.tsv
│ ├── OK.tsv
│ ├── OR.tsv
│ ├── PA.tsv
│ ├── RI.tsv
│ ├── SC.tsv
│ ├── SD.tsv
│ ├── TN.tsv
│ ├── TX.tsv
│ ├── US.tsv
│ ├── UT.tsv
│ ├── VA.tsv
│ ├── VT.tsv
│ ├── WA.tsv
│ ├── WI.tsv
│ ├── WV.tsv
│ ├── WY.tsv
│ ├── election-fundamentals.csv
│ └── states.csv
├── download-states.sh
├── stormy-daniels-payments-simulation.ipynb
├── week-6-1-election-prediction-empty.ipynb
├── week-6-1-election-prediction-homework.ipynb
├── week-6-1-election-prediction.ipynb
└── week-6-2-midwest-polling-errors-homework.ipynb
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FILE CONTENTS
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FILE: .gitignore
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teaching-notes.txt
*solution.ipynb
.ipynb_checkpoints
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FILE: README.md
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# Algorithms - Lede 2018
A course on algorithms used in journalism, for beginning Python programmers.
Taught at the Lede program, Columbia Journalism School, summer 2018
by Jonathan Stray. Some parts adapted from previous work, as noted.
## Course overview
This is a course on algorithmic data analysis in journalism, and also the journalistic analysis of algorithms used in society. The major topics are text processing, visualization of high dimensional data, regression, machine learning, algorithmic bias and accountability, monte carlo simulation, and election prediction.
There are seven weeks of material and 13 classes total. Most classes include a Jupyter notebook that students filled out during class time, following the instructor on screen. The full class notebook is named `class-week-day-topic.ipynb` while this same notebook ready to be filled out in class is called `class-week-day-topic-empty.ipynb` Though I believe it's important for learning for the students to type the code themselves, I sometimes included particularly annoying or unedifying snippets in the "empty" notebooks.
There is a homework assignment after most classes, given as a notebook which students must fill out themselves. Homework solutions are available separately for instructors -- contact me (try @jonathanstray on Twitter)
All coding is done in Python, using Pandas, matplotlib, scikit learn.
Some classes also include slide decks, in pdf and pptx formats. The pptx files are included for potential remixes and because the notes contain extra information, e.g. the source URLs for each slide.
## Prerequisites
Students must have basic ability to work with data in Python/Pandas, such as filtering, grouping, and plotting.
## Administration
- Instructor: Jonathan Stray, jms2361@columbia.edu
- Dates: Mondays and Wednesdays, 7/18-8/29
- Class: 10am-1pm
- Lab: 2pm-5pm
- Location: World Room
- Slack channel: #algorithms
## Teaching notes
For each week, I have included notes about what worked and what didn't, in the hope of improving future iterations of the course. You'll see that it took me a few weeks to dial in the level and style of teaching, so the course is strongest (for this audience) starting in week 3.
## LICENSE
This work is licensed under Creative Commons [CC-BY 3](https://creativecommons.org/licenses/by/3.0/us/). Which means you can pretty much do what you want with it, just as long as you mention my name in derivative works.
## Syllabus
### Week 1 - Introduction to Algorithms
Algorithms for doing journalism, journalism about algorithms. The purpose of mathematical formalism.
*Materials:*
- [Slides](https://github.com/jstray/lede-algorithms/blob/master/week-1/week-1.pdf)
*Homework:*
- [Average of averages](https://github.com/jstray/lede-algorithms/blob/master/week-1/week-1-homework.ipynb). First you'll do some basic group operations on the Titantic survival data. Then you'll use the results to show that an average of averages is not always the same as the overall average. You must figure out when these two averages **are** equal, and how to compute the overall average from the individual averages.
*What worked and didn't.* Students enjoyed the introductory lecture. The material on linear vs. quadratic running time was a bit abstract, and we didn't really talk about it later in the course, so I'd drop it next time. Most students were able to understand what the "average of averages" problem was about but many got stuck on the summation notation in the homework. I'd rewrite this to look like code instead of algebra (`averages.mean()` etc.)
### Week 2-1 - Text processing and TF-IDF
In this class we will develop the ubiquitous vector space document model, with TF-IDF weighting. You will learn to algorithmically summarize documents by extracting keywords, how to compare documents for similarity, and how a search engine and Google News work.
*Materials:*
- [Slides](https://github.com/jstray/lede-algorithms/blob/master/week-2/week-2.pdf)
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-2/week-2-1-class.ipynb)
*References:*
- [TF-IDF is about what matters](https://planspace.org/20150524-tfidf_is_about_what_matters/) - an article which describes TF-IDF in more detail.
- [How ProPublica's Message Machine Reverse Engineers Political Microtargeting](https://www.propublica.org/nerds/how-propublicas-message-machine-reverse-engineers-political-microtargeting) - a real life example of TF-IDF and cosine similarity used in journalism.
- Stephen Ramsay's short book [Reading Machines](http://www.dansinykin.com/uploads/8/4/0/2/84026824/ramsay_algorithmic_criticism.pdf) - TF-IDF used in the digital humanities, plus a fantastic discussion of text analysis in general.
- The [Overview document mining platform](overviewdocs.com), a powerful tool you can use to explore document sets, or OCR and convert them. See also this [visualization of the TF-IDF vectors](https://blog.overviewdocs.com/2012/03/16/video-document-mining-with-the-overview-prototype/) of a document set.
- [A full-text visualization of the Iraq war logs](https://blog.overviewdocs.com/2010/12/10/a-full-text-visualization-of-the-iraq-war-logs/) - I used TF-IDF to analyze the Wikileaks Iraq War Logs, which became the inspiration for Overview.
*Homework:*
- [Analyze the state of the Union with TF-IDF](https://github.com/jstray/lede-algorithms/blob/master/week-2-1/week-2-homework.ipynb) to see how topics changed by decade
*What worked and didn't.* It would help to motivate TF-IDF by showing it used in journalism first, e.g. [message machine](https://www.propublica.org/nerds/how-propublicas-message-machine-reverse-engineers-political-microtargeting). The slide deck describing TF-IDF was adapted from my [computational journalism seminar](http://www.compjournalism.com/) and had too many equations for most. The switch from distance to similarity within the notebook was confusing. Jonathan Soma's [2017 class on TF-IDF](http://jonathansoma.com/lede/foundations/classes/text%20processing/tf-idf/) repeatedly plots a few dimensions at a time and seemed to help get the concept across.
Generally, the students were inspired by text analysis and several used TF-IDF for summarization or clustering as part of their Data Studio projects. We could usefully spend more time on other NLP topics like tagging and sentimen t analysis (both of which are supported in `TextBlob`.) Sentiment analysis in particular is ever-popular, for better or worse.
### Week 2-2 - Vectors, clusters, and visualization
We'll start with the idea of clusters, and the K-means algorithm which identifies them. Then we'll look at the voting patterns of the UK house of lords in 2012 (yes, there is a reason for this particular data) to develop the general idea of high dimensional vectors representing data. We'll learn some ways to visualize such high dimensional spaces, including the classic PCA algorithm.
*Materials:*
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-2/week-2-1-class.ipynb)
*References:*
- [Visualizing K-Means Clustering](https://www.naftaliharris.com/blog/visualizing-k-means-clustering/) - an interactive demonstration by Naftali Harris
- [In Depth: Principal Component Analysis](https://jakevdp.github.io/PythonDataScienceHandbook/05.09-principal-component-analysis.html)
*Homework:*
- [Principal component analysis](https://github.com/jstray/lede-algorithms/blob/master/week-2/week-2-2-homework.ipynb) of data from the General Social Survey.
*What worked and didn't.* Students found the PCA material very abstract -- but the discusson of [Flatland](http://www.geom.uiuc.edu/~banchoff/Flatland/) as a method of thinking about higher dimensions was a hit! It would have been better to build up to PCA from simpler high dimensional EDA techniques, e.g. `scatter_matrix`.
The GSS PCA assignment was difficult for most students, in part because the General Social Survey website has a horrificially complex interface and it's too easy to choose data that doesn't work well for various reasons. It would be better to include a pre-downloaded subset of the data, e.g. the data on altruism used in the homework solution. It may also have helped to give another example of interepreting the axes of a PCA plot using the colors in the scatterplot; in the homework notebook, the link between the povided color schema and increasing numeric values was not clear.
### Week 3-1 - Linear Regression
After a few toy examples of linear regression, we'll pick apart and reproduce the Washington Post article [Racism motivated Trump voters more than authoritarianism](https://www.washingtonpost.com/news/monkey-cage/wp/2017/04/17/racism-motivated-trump-voters-more-than-authoritarianism-or-income-inequality) using the [original American National Election Study data](http://electionstudies.org/project/2016-time-series-study/)
*In-class exercise:* break into five groups and assign each a visualization from the "Examples" section of the slides. Ask each group to take 10 minutes to produce as many causal interpretations of the data as they can think of -- for each example there is at least one plausible confounder.
*Materials:*
- [Slides](https://github.com/jstray/lede-algorithms/blob/master/week-3/week-3.pdf) about correlation, causation, and confounding variables.
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-3/week-3-1-class.ipynb)
- [Simpson's paradox notebook](https://github.com/jstray/lede-algorithms/blob/master/week-3/Simpson's%20Paradox.ipynb) and why controlling for a variable can change the sign of a coefficient on another variable. This is a constructed counter-example to the story below, deisgned so that it looks like particular shoes improve performance, but actually it's just that people who run at night both run faster (which is a real effect) and also more commonly wear these shoes.
*References:*
- [Nike Says Its $250 Running Shoes Will Make You
Run Much Faster. What if That’s Actually True?](https://www.nytimes.com/interactive/2018/07/18/upshot/nike-vaporfly-shoe-strava.html) This NY Times story involves exactly the sort of question regression is meant to answer -- do people wearing these shoes run faster? -- and exactly the sort of question for which there is an infinite supply of potential confounders. It's instructive to see how they handled this by using four different statistical methods of controlling for all other variables, on a rich data set of marathon times.
*Homework:*
- [Linear regression](https://github.com/jstray/lede-algorithms/blob/master/week-3/week-3-1-homework.ipynb) on school test scores, a re-creation of this [2010 story in the Pioneer Press](https://www.twincities.com/2010/07/09/schools-that-work-despite-appearances-schools-doing-better-than-expected-have-traits-in-common/) which asked, what makes a school succeed despite disadvantages?
*What worked and didn't.* The in-class discussion of causality worked well. The presentation of Simpson's paradox was probably still a bit too abstract; I'm not sure everyone could connect it to the idea of a confounding variable. This class also required extensive whiteboarding of the core formulas and geometry of regression, so some slides with this material would be good.
### Class 3-2 Logistic Regression
For this class we are going to reproduce the Boston Globe analysis for their series [Speed Trap: Who gets a ticket, who gets a break?](http://archive.boston.com/globe/metro/packages/tickets/) which is a classic example of logistic regression in journalism, and also introduces the idea of quantitative measurements of racial bias.
*Materials:*
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-3/week-3-2-class.ipynb)
*References:*
- [Counting Possible Worlds](https://towcenter.gitbooks.io/curious-journalist-s-guide-to-data/content/analysis/counting_possible_worlds.html) - The Curious Journalist's Guide to Data
*Homework:*
- [Logistic regression](https://github.com/jstray/lede-algorithms/blob/master/week-3/week-3-2-homework.ipynb) to examine the effects of Titanic passenger sex and class on survival odds. As a bonus question, we'll use the ANES data from the last class to see how much effect opinion of Obamacare had in the 2016 election, when controlling for party.
*What worked and didn't.* The logarithm and exponentiation operations were unfamiliar to many students, and could have used a review. Ditto the concept of function composition where the logit is used to "remap" the linear regression to 0..1. Also, we definitely needed to start by discussing the difference between odds and probability.
### Week 4-1 - Machine Learning
This is our introduction to machine learning, beginning with decision trees.
*In-class exercise:* Act out the construction and use of decision trees and random forests using the amazing [Lights, Camera, Algorithms game](https://gist.github.com/rshorey/6fbf25b7a35ff67fbda435a1553d9564) by Jeremy Merrill and Rachel Shorey.
*Materials:*
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-4/week-4-1-supervised-learning-class.ipynb) which uses GSS data on attitudes towards government spending on various programs, and tries to predict the answer to one question from the answers on all the others. Plus we make the computer actually draw the decision tree!
*References:*
- [A visual introduction to machine learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) - an interactive machine learning tutorial
- [Getting started with machine learning for reporting](http://paldhous.github.io/NICAR/2018/machine-learning.html) - an all-star presentation of how ML has been used and abused in journalism
*Homework:*
- [Supervised learning](https://github.com/jstray/lede-algorithms/blob/master/week-4/week-4-1-supervised-learning-homework.ipynb) on the classic `wine` data set. Introduction to confusion matrices / accuracy metrics.
*What worked and didn't.* Students loved the decision tree game. However, our random forest actually had slightly lower accuracy than the initial single tree. The Lights, Camera, Algorithm data gives very high accuracy with just a single tree, and could use some harder cases so that the forest more commonly helps. (With less than 50 players, there is a random element to the game depending on what cards are dealt.)
There was some confusion on the confusion matrix in the homework so it probably would have been helpful to spend more class time on this -- or perhaps the problem is that the students first needed context and motivation for why we care about these numbers, which is that they're key to the deconstruction of "Machine Bias" in the next week.
### Week 4-2 - Feature engineering
It's all about which features we feed to the beast. This class collects a lot of the machinery we need to do machine learning in practice, including classification on text vectors and creating dummy variables. Also, cross-validation!
*Materials:*
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-4/week-4-2-feature-selection-class.ipynb) which tries to predict flight delays from messy categorical data, and then predicts occupation code from job title and company name in campaign finance data.
- [Using machine learning to classify documents with Overview](https://github.com/jstray/lede-algorithms/blob/master/week-4/Machine%20learning%20with%20Overview.ipynb). Instructions and code to use Overview's tagging to create training data, run a classifier, and re-import the results to automatically tag all other documents.
*References:*
- [Predict-a-bill: how it works](http://ajcnewsapps.tumblr.com/post/77008124090/predict-a-bill-how-it-works) - The Atlanta Journal-Constitution predicts whether Georgia state legislation will pass, based on text and other features.
*Homework:*
- [Determining bill topics](https://github.com/jstray/lede-algorithms/blob/master/week-4/week-4-2-text-classification-homework.ipynb) from their text.
*What worked and didn't.* The large occupation confusion matrix in the class notebook might be clearer if we dropped the 'Y' (unknown) category.
On the assignment, some students get an error message trouble reading `bills.csv`:
`(UnicodeDecodeError: ‘utf-8’ codec can’t decode byte 0x89 in position 680: invalid start byte)`.
Using `df = pd.read_csv('bills.csv', encoding='Latin1')` seemed to fix this on both Windows and Mac.
### Week 5-1 - Machine Bias
This week the class turns from analyzing data to analyzing algorithms. This class we will break down ProPublica's famous [Machine Bias story](https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing) using their original data on the performance of the COMPAS recidivism prediction algorithm.
*In-class exercise:*
First we're going to get down and dirty with confusion matrices, because the core of ProPublica's argument is a difference in false positive rates between black and white defendants. I've created a game called [Kitchen Confusion Matrix](https://github.com/jstray/lede-algorithms/blob/master/week-5/kitchen-confusion-matrix.ipynb) where students acted this out.
We started with the cards for [Lights, Camera, Algorithms game](https://gist.github.com/rshorey/6fbf25b7a35ff67fbda435a1553d9564) and I asked students to hand-write in a few additional data points for each card: `exotic`, `in_season`, and `imported`. We used a simple scoring function, `score = 2*exotic + in_season - imported`, to compute a score for each fruit/vegetable, trying to predict whether or not the food ultimatey got `eaten` when served. Imagine this score as the result of a previous linear regression against the actual outcomes.
Then we picked a threshold for the classifer to guess `eaten==True`, and in this case we used `score>=2`. All the students physically sorted themselves into predicted eaten and predicted not eaten, in two groups on opposite sides of the room. Then each group split into two: actually eaten and not actually eaten.
At this point I handed out four signs, one for each group, to label the entries of our physical confusion matrix: TP, FP, TN, FN. Each group chose a team leader to hold up the sign, and count the number of people in the group. We wrote the resulting confusion matrix on the whiteboard.
Then we separated each group again, by fruit vs. vegetable. This produced eight groups (though one was empty) and now we used eight signs: each of TP, FP, TN, FN for both fruit and vegetable. Again we counted each group and wrote two more confusion matrices on the board. These represented the classifier performance for fruits and for vegetables. Naturally, the game data is engineered to try to make the false positive rate different between these two groups.
*Materials*:
- [Slides](https://github.com/jstray/lede-algorithms/blob/master/week-5/week-5-1.pdf) introducing algorithmic accountability generally and Machine Bias in particular.
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-5/week-5-1-machine-bias-class.ipynb) recreating the ProPublica analysis, and creating our own classifier to understand the limits of recidivism prediction.
- [Kitchen Confusion Matrix data](https://github.com/jstray/lede-algorithms/blob/master/week-5/kitchen-confusion-matrix.csv). See also the
[data generation notebook](https://github.com/jstray/lede-algorithms/blob/master/week-5/kitchen-confusion-matrix.ipynb) which shows how it's rigged for our pedagogical objectives.
*References*:
- [Prediction](https://towcenter.gitbooks.io/curious-journalist-s-guide-to-data/content/communication/prediction.html) - The Curious Journalist's Guide to Data
- [California ends cash bail system despite opposition from bail industry and criminal justice reformers](https://www.desertsun.com/story/news/politics/2018/08/24/californias-money-based-bail-system-could-replaced/1069379002/) - Desert Sun. Predictive risk scores in the real-world context of reform in California.
- [Human decisions and machine predictions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947971/) - Analyzes real judicial decision data and makes the case that using a prediction algorithm would simultaneously send fewer people to jail, reduce the crime rate, and improve racial disparities.
*Homework:*
- [Make a fair classifier](https://github.com/jstray/lede-algorithms/blob/master/week-5/week-5-1-fairness-tradeoffs-homework.ipynb), according to the equal false positive rate (FPR) definition, by modifying the COMPAS logistic regression built in class to use different thresholds for black vs. white. How do other metrics shift?
*What worked and didn't.* Acting out confusion matrices was popular. However in our run of Kitchen Confusion Matrix we didn't get the expected higher FPR for fruits. Narratively, the outcome of "being eaten" didn't motivate students to think about the desirability of the outcome and the potential unjustness of differential error. They weren't emotionally invested in being picked by the classifier, whereas I had presumed that all food would surely want to be given a chance to be eaten.
On the homework, most students had problems writing the `predict_threshold_groups` function. Sometimes the goal of equalizing FPR by using per-group thresholds was not clear. There was also a purely technical challenge in that most students were not aware that you can use an array of booleans as a write index into the rows of a dataframe, which is probably the easiest way to code the requested function.
Predictive calibration, and its definition in terms of positive predictive value (PPV, aka precision) was difficult to get on the initial pass through the material. We probably needed to first look at the mechanics of prediction evaluation, perhaps with the [chapter](https://towcenter.gitbooks.io/curious-journalist-s-guide-to-data/content/communication/prediction.html) mentioned above. Calibration is a key concept because of the impossibility of calibration plus equal error rates, an impossibility which is central to the discussion around Machine Bias and classifier bias generally. Perhaps we need an interactive graphical demonstration to give intuition about why we can't have both properties in the presence of differential base rates.
### Week 5-2 - Algorithmic Accountability
Building on our detailed breakdown of Machine Bias, we expand the scope to talk about algorithmic accountability in general. We briefly review the U.S. legal framework of protected classes, and the impossibility theorems that define what sort of classifiers we can actually build. Going outwards from there, we talk about training data quality and how predictions are actually used in society. Then we'll turn to other cases including income-baised price discrimination and the effects of algorithmic credit scoring.
*Materials*:
- [Slides](https://github.com/jstray/lede-algorithms/blob/master/week-5/week-5-2.pdf) with more on algorithmic accountability, including fairness impossibility theorems, data quality issues, biased humans ignorning algorithmic predictions, and the case of Chicago's predictive policing system.
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-5/week-5-2-lending-class.ipynb) analyzing who wins and who loses from more accurately predicting whether someone will repay a loan, using real data from Lending Club.
*References:*
- [Banking Start-Ups Adopt New Tools for Lending](https://www.nytimes.com/2015/01/19/technology/banking-start-ups-adopt-new-tools-for-lending.html) - NY Times. Describes contemporary use of machine learning for loan decisions.
- [Predictably Unequal? The Effects of Machine Learning on Credit Markets](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3072038) - Fuster et al. An analysis of who wins and who loses when default prediction gets better, based on internal Federal Reserve data.
*Homework:*
- Watch the first part of the [Fairness in Machine Learning NIPS 2017 Tutorial](http://fairml.how) by Solon Barocas and Moritz Hardt, where Barocas talks.
*What worked and didn't.* The fairness impossibilities material was very abstract. I really like the three simple and mutally exclusive fairness conditions that Barocas and Hardt identify, but these are totally opaque to non-statiticians. We could really use graphical examples to give intuition about why you can only have one type at a time.
### Week 6-1 - Election Prediction
In this class we'll build a basic Monte Carlo U.S. election predictor which uses per-state polling errors and simulates the electoral college. And we'll begin our discussion of how to interpret the predictions of 2016 in the face of Trump's win.
*Materials:*
- [Class notebook](https://github.com/jstray/lede-algorithms/blob/master/week-6/week-6-1-election-prediction.ipynb) goes from simulating one poll to simulating the electoral college to simulating correlated error.
*References:*
- [The Real Story of 2016](https://fivethirtyeight.com/features/the-real-story-of-2016/) - Fivethirtyeight
- Buzzfeed's post-election [forecast grades](https://www.buzzfeednews.com/article/jsvine/2016-election-forecast-grades)
- [After 2016, Can We Ever Trust the Polls Again?](https://newrepublic.com/article/139158/2016-can-ever-trust-polls-again) - The New Republic
- [Putting the Polling Miss of the 2016 Election in Perspective](https://www.nytimes.com/interactive/2016/11/13/upshot/putting-the-polling-miss-of-2016-in-perspective.html) - The Upshot
- [Models Based on ‘Fundamentals’ Have Failed at Predicting Presidential Elections](https://fivethirtyeight.com/features/models-based-on-fundamentals-have-failed-at-predicting-presidential-elections/) - Fivethirtyeight
*Homework:*
- [Fundamentals-based election prediction](https://github.com/jstray/lede-algorithms/blob/master/week-6/week-6-1-election-prediction-homework.ipynb). How well can we predict election outcome from economic, approval, and term indicators? Use logistic regression to find out.
*What worked and didn't.* Students needed a primer on basic polling and sampling theory, which we ended up doing in the next class.
### Week 6-2 - Correlated errors.
This class was planned to be more simulation but that was pushed to 7-1. Instead we spent most of it discussing the mechanics of samlping and polling. We used [this chapter](https://towcenter.gitbooks.io/curious-journalist-s-guide-to-data/content/quantification/sampling_and_quantified_error.html) as a reference and worked in a notebook to simulate polling. The objective was to demonstrate basic properties, such as how the MOE changes with sample size, and also the mechanics of simulation with Pandas.
*Materials:*
- [Simple polling simulation](https://github.com/jstray/lede-algorithms/blob/master/week-6/Simple%20Polling%20Simulation.ipynb) notebook.
*References:*
- [Sampling and Quantified Error](https://towcenter.gitbooks.io/curious-journalist-s-guide-to-data/content/quantification/sampling_and_quantified_error.html) - The Curious Journalist's Guide to Data
- [The Devil in the Polling Data](https://www.quantamagazine.org/why-nate-silver-sam-wang-and-everyone-else-were-wrong-part-2-20161111/) - Quanta magazine. All about correlated errors, in the 2007 financial crisis and the 2016 election.
*Homework:*
- [Correlated polling errors](https://github.com/jstray/lede-algorithms/blob/master/week-6/week-6-2-midwest-polling-errors-homework.ipynb). Modify the 6-1 class notebook model so polling errors are correlated only across the midwest, not nationally. This is approximately what actually happened in 2016.
### Week 7-1 - Simulation
We'll look at several uses of simulation in journalism, starting with demonstrating how something works:
- [Should Prison Sentences Be Based On Crimes That Haven’t Been Committed Yet?](https://fivethirtyeight.com/features/prison-reform-risk-assessment/) - Fivethirtyeight
- [Watch how the measles outbreak spreads when kids get vaccinated – and when they don't](https://www.theguardian.com/society/ng-interactive/2015/feb/05/-sp-watch-how-measles-outbreak-spreads-when-kids-get-vaccinated) - The Guardian
- [This game will show you just how foolish it is to sell stocks right now](https://qz.com/487013/this-game-will-show-you-just-how-foolish-it-is-to-sell-stocks-right-now/) - Quartz
Several other journalistic simulations have been of the "significance testing" type. For a primer on significance testing in general, see [this chapter](https://towcenter.gitbooks.io/curious-journalist-s-guide-to-data/content/analysis/arguing_from_the_odds.html).
- [How BuzzFeed News Used Betting Data To Investigate Match-Fixing In Tennis](https://www.buzzfeednews.com/article/johntemplon/how-we-used-data-to-investigate-match-fixing-in-tennis). See also the [code notebook](https://github.com/BuzzFeedNews/2016-01-tennis-betting-analysis)!
- [Why Betting Data Alone Can’t Identify Match Fixers In Tennis](https://fivethirtyeight.com/features/why-betting-data-alone-cant-identify-match-fixers-in-tennis/) - Fivethirtyeight. A great discussion of what Buzzfeed's statistics mean
- The Wall Street Journal's multi-decade investigation into insider trading has used simulation several times: [2006](http://www.pulitzer.org/winners/wall-street-journal) (read "How the journal analyzed stock-option grants"), [2013](http://businessjournalism.org/2013/11/bronze-from-casual-conversation-to-massive-investigation-into-insider-trading/), and [2017](https://www.wsj.com/articles/hundreds-of-people-made-gifts-of-stock-with-great-timing-1513881239)
- [Statistical Model Strongly Suggests the Stormy Daniels Payoff Came from the Trump Campaign](https://medium.com/@whstancil/statistical-model-strongly-suggests-the-stormy-daniels-payoff-came-from-the-trump-campaign-7c09c300cb18). This one has similar structure to The Tennis Racket, but has a robustness issue: as [this notebook](https://github.com/jstray/lede-algorithms/blob/master/week-6/stormy-daniels-payments-simulation.ipynb) shows, if you take the previous 20 payments, as opposed to the previous 10, the probability of getting close to $130,000 is very much higher.
### Week 7-2 - Discussion and wrap up
I had all students submit data stories they wanted to talk about, and then we discussed the top five or so in detail.
================================================
FILE: week-1/titanic.csv
================================================
pclass,survived,name,age,embarked,home.dest,room,ticket,boat,gender
1st,1,"Allen, Miss Elisabeth Walton",29,Southampton,"St Louis, MO",B-5,24160 L221,2,female
1st,0,"Allison, Miss Helen Loraine",2,Southampton,"Montreal, PQ / Chesterville, ON",C26,,,female
1st,0,"Allison, Mr Hudson Joshua Creighton",30,Southampton,"Montreal, PQ / Chesterville, ON",C26,,-135,male
1st,0,"Allison, Mrs Hudson J.C. (Bessie Waldo Daniels)",25,Southampton,"Montreal, PQ / Chesterville, ON",C26,,,female
1st,1,"Allison, Master Hudson Trevor",0.9167,Southampton,"Montreal, PQ / Chesterville, ON",C22,,11,male
1st,1,"Anderson, Mr Harry",47,Southampton,"New York, NY",E-12,,3,male
1st,1,"Andrews, Miss Kornelia Theodosia",63,Southampton,"Hudson, NY",D-7,13502 L77,10,female
1st,0,"Andrews, Mr Thomas, jr",39,Southampton,"Belfast, NI",A-36,,,male
1st,1,"Appleton, Mrs Edward Dale (Charlotte Lamson)",58,Southampton,"Bayside, Queens, NY",C-101,,2,female
1st,0,"Artagaveytia, Mr Ramon",71,Cherbourg,"Montevideo, Uruguay",,,-22,male
1st,0,"Astor, Colonel John Jacob",47,Cherbourg,"New York, NY",,17754 L224 10s 6d,-124,male
1st,1,"Astor, Mrs John Jacob (Madeleine Talmadge Force)",19,Cherbourg,"New York, NY",,17754 L224 10s 6d,4,female
1st,1,"Aubert, Mrs Leontine Pauline",NA,Cherbourg,"Paris, France",B-35,17477 L69 6s,9,female
1st,1,"Barkworth, Mr Algernon H.",NA,Southampton,"Hessle, Yorks",A-23,,B,male
1st,0,"Baumann, Mr John D.",NA,Southampton,"New York, NY",,,,male
1st,1,"Baxter, Mrs James (Helene DeLaudeniere Chaput)",50,Cherbourg,"Montreal, PQ",B-58/60,,6,female
1st,0,"Baxter, Mr Quigg Edmond",24,Cherbourg,"Montreal, PQ",B-58/60,,,male
1st,0,"Beattie, Mr Thomson",36,Cherbourg,"Winnipeg, MN",C-6,,,male
1st,1,"Beckwith, Mr Richard Leonard",37,Southampton,"New York, NY",D-35,,5,male
1st,1,"Beckwith, Mrs Richard Leonard (Sallie Monypeny)",47,Southampton,"New York, NY",D-35,,5,female
1st,1,"Behr, Mr Karl Howell",26,Cherbourg,"New York, NY",C-148,,5,male
1st,0,"Birnbaum, Mr Jakob",25,Cherbourg,"San Francisco, CA",,,-148,male
1st,1,"Bishop, Mr Dickinson H.",25,Cherbourg,"Dowagiac, MI",B-49,,7,male
1st,1,"Bishop, Mrs Dickinson H. (Helen Walton)",19,Cherbourg,"Dowagiac, MI",B-49,,7,female
1st,1,"Bjornstrm-Steffansson, Mr Mauritz Hakan",28,Southampton,"Stockholm, Sweden / Washington, DC",, ,D,male
1st,0,"Blackwell, Mr Stephen Weart",45,Southampton,"Trenton, NJ",,,-241,male
1st,1,"Blank, Mr Henry",39,Cherbourg,"Glen Ridge, NJ",A-31,,7,male
1st,1,"Bonnell, Miss Caroline",30,Southampton,"Youngstown, OH",C-7,,8,female
1st,1,"Bonnell, Miss Elizabeth",58,Southampton,"Birkdale, England Cleveland, Ohio",C-103,,8,female
1st,0,"Borebank, Mr John James",NA,Southampton,"London / Winnipeg, MB",D-21/2,,,male
1st,1,"Bowen, Miss Grace Scott",45,Cherbourg,"Cooperstown, NY",,,4,female
1st,1,"Bowerman, Miss Elsie Edith",22,Southampton,"St Leonards-on-Sea, England Ohio",,,6,female
1st,1,"Bradley, Mr George",NA,Southampton,"Los Angeles, CA",,,15,male
1st,0,"Brady, Mr John Bertram",41,Southampton,"Pomeroy, WA",,,,male
1st,0,"Brandeis, Mr Emil",48,Cherbourg,"Omaha, NE",,17591 L50 9s 11d,-208,male
1st,0,"Brewe, Dr Arthur Jackson",NA,Cherbourg,"Philadelphia, PA",,,,male
1st,1,"Brown, Mrs James Joseph (Margaret Molly"" Tobin)""",44,Cherbourg,"Denver, CO",,17610 L27 15s 5d,6,female
1st,1,"Brown, Mrs John Murray (Caroline Lane Lamson)",59,Southampton,"Belmont, MA",C-101,,D,female
1st,1,"Bucknell, Mrs William Robert (Emma Eliza Ward)",60,Cherbourg,"Philadelphia, PA",,,8,female
1st,0,"Butt, Major Archibald Willingham",45,Southampton,"Washington, DC",,,,male
1st,1,"Calderhead, Mr Edward P.",NA,Southampton,"New York, NY",,,7-May,male
1st,1,"Candee, Mrs Edward (Helen Churchill Hungerford)",53,Cherbourg,"Washington, DC",,,6,female
1st,1,"Cardeza, Mrs James Warburton Martinez (Charlotte Wardle Drake)",58,Cherbourg,"Germantown, Philadelphia, PA",B-51/3/5,17755 L512 6s,3,female
1st,1,"Cardeza, Mr Thomas Drake Martinez",36,Cherbourg,"Austria-Hungary / Germantown, Philadelphia, PA",B-51/3/5,17755 L512 6s,3,male
1st,0,"Carlsson, Mr Frans Olof",33,Southampton,"New York, NY",,,,male
1st,0,"Carrau, Mr Francisco M.",NA,Southampton,"Montevideo, Uruguay",,,,male
1st,0,"Carrau, Mr Jose Pedro",NA,Southampton,"Montevideo, Uruguay",,,,male
1st,1,"Carter, Mr William Ernest",36,Southampton,"Bryn Mawr, PA",,,C,male
1st,1,"Carter, Mrs William Ernest (Lucile Polk)",36,Southampton,"Bryn Mawr, PA",,,4,female
1st,1,"Carter, Miss Lucile Polk",14,Southampton,"Bryn Mawr, PA",,,4,female
1st,1,"Carter, Master William T. II",11,Southampton,"Bryn Mawr, PA",,,4,male
1st,0,"Case, Mr Howard Brown",49,Southampton,"Ascot, Berkshire / Rochester, NY",,,,male
1st,1,"Cassebeer, Mrs Henry Arthur jr (Genevieve Fosdick)",NA,Cherbourg,"New York, NY",,,5,female
1st,0,"Cavendish, Mr Tyrell William",36,Southampton,"Little Onn Hall, Staffs",,,-172,male
1st,1,"Cavendish, Mrs Tyrell William Julia Florence Siegel",NA,Southampton,"Little Onn Hall, Staffs",,,6,female
1st,0,"Chaffee, Mr Herbert Fuller",46,Southampton,"Amenia, ND",,,,male
1st,1,"Chaffee, Mrs Herbert Fuller (Carrie Constance Toogood)",47,Southampton,"Amenia, ND",,,,female
1st,1,"Chambers, Mr Norman Campbell",27,Southampton,"New York, NY / Ithaca, NY",,,5,male
1st,1,"Chambers, Mrs Norman Campbell (Bertha Griggs)",31,Southampton,"New York, NY / Ithaca, NY",,,5,female
1st,1,"Cherry, Miss Gladys",NA,Southampton,"London, England",,,8,female
1st,1,"Chevre, Mr Paul",NA,Cherbourg,"Paris, France",,,7,male
1st,1,"Chibnall (Bowerman), Mrs Edith Martha",NA,Southampton,"St Leonards-on-Sea, England Ohio",,,6,female
1st,0,"Chisholm, Mr Roderick Robert",NA,,"Liverpool, England / Belfast",,,,male
1st,0,"Clark, Mr Walter Miller",27,Cherbourg,"Los Angeles, CA",C-87,,,male
1st,1,"Clark, Mrs Walter Miller (Virginia McDowell)",26,Cherbourg,"Los Angeles, CA",C-87,,4,female
1st,0,"Clifford, Mr George Quincy",NA,Southampton,"Stoughton, MA",,,,male
1st,0,"Colley, Mr Edward Pomeroy",NA,Southampton,"Victoria, BC",,,,male
1st,1,"Compton, Mrs Alexander Taylor (Mary Eliza Ingersoll)",64,Cherbourg,"Lakewood, NJ",,,14,female
1st,0,"Compton, Mr Alexander Taylor, Jr",37,Cherbourg,"Lakewood, NJ",,,,male
1st,1,"Compton, Miss Sara Rebecca",39,Cherbourg,"Lakewood, NJ",,,14,female
1st,1,"Cornell, Mrs Robert Clifford (Malvina Helen Lamson)",55,Southampton,"New York, NY",C-101,,2,female
1st,0,"Crafton, Mr John Bertram",NA,Southampton,"Roachdale, IN",,,,male
1st,0,"Crosby, Captain Edward Gifford",70,Southampton,"Milwaukee, WI",,,-269,male
1st,1,"Crosby, Mrs Edward Gifford (Catherine Elizabeth Halstead)",69,Southampton,"Milwaukee, WI",,,5,female
1st,1,"Crosby, Miss Harriet R.",36,Southampton,"Milwaukee, WI",,,5,female
1st,0,"Cumings, Mr John Bradley",39,Cherbourg,"New York, NY",C-85,,,male
1st,1,"Cumings, Mrs John Bradley (Florence Briggs Thayer)",38,Cherbourg,"New York, NY",C-85,,4,female
1st,1,"Daly, Mr Peter Denis ",NA,Southampton,"Lima, Peru",,,A,male
1st,1,"Daniel, Mr Robert Williams",27,Southampton,"Philadelphia, PA",,,7,male
1st,0,"Davidson, Mr Thornton",31,Southampton,"Montreal, PQ",,,,male
1st,1,"Davidson, Mrs Thornton (Orian Hays)",27,Southampton,"Montreal, PQ",,,3,female
1st,1,"de Villiers, Madame Berthe",NA,Cherbourg,"Belgium Montreal, PQ",,,6,female
1st,1,"Dick, Mr Albert Adrian",31,Cherbourg,"Calgary, AB",,,3,male
1st,1,"Dick, Mrs Albert Adrian Vera Gillespie",17,Cherbourg,"Calgary, AB",,,3,female
1st,1,"Dodge, Dr. Washington",NA,Southampton,"San Francisco, CA",,,13,male
1st,1,"Dodge, Mrs Washington (Ruth Vidaver)",NA,Southampton,"San Francisco, CA",,,7-May,female
1st,1,"Dodge, Master Washington",4,Southampton,"San Francisco, CA",,,7-May,male
1st,1,"Douglas, Mrs Frederick Charles (Suzette Baxter)",27,Cherbourg,"Montreal, PQ",,,6,female
1st,0,"Douglas, Mr Walter Donald",50,Cherbourg,"Deephaven, MN / Cedar Rapids, IA",,,-62,male
1st,1,"Douglas, Mrs Walter Donald (Mahala Dutton)",48,Cherbourg,"Deephaven, MN / Cedar Rapids, IA",,,2,female
1st,1,"Duff Gordon, Sir Cosmo Edmund",49,Cherbourg,London / Paris,,11755 L39 12s,1,male
1st,1,"Duff Gordon, Lady (Lucille Wallace Sutherland)",48,Cherbourg,London / Paris,,17485 L56 18s 7d,1,female
1st,0,"Dulles, Mr William Crothers",39,Cherbourg,"Philadelphia, PA",,,-133,male
1st,1,"Earnshaw, Mrs Boulton (Olive Potter)",23,Cherbourg,"Mt Airy, Philadelphia, PA",,,7,female
1st,1,"Eustis, Miss Elizabeth Mussey",53,Cherbourg,"Brookline, MA",,,4,female
1st,0,"Evans, Miss Edith Corse",36,Cherbourg,"New York, NY",,,,female
1st,1,"Flegenheim, Mrs Alfred (Antoinette)",NA,Cherbourg,"New York, NY",,,7,female
1st,1,"Flynn, Mr John Irving",NA,Southampton,"Brooklyn, NY",,,7-May,male
1st,0,"Foreman, Mr Benjamin Laventall",30,Cherbourg,"New York, NY",,,,male
1st,1,"Fortune, Miss Alice Elizabeth",24,Southampton,"Winnipeg, MB",,,10,female
1st,0,"Fortune, Mr Charles Alexander",19,Southampton,"Winnipeg, MB",,,,male
1st,1,"Fortune, Miss Ethel Flora",28,Southampton,"Winnipeg, MB",,,10,female
1st,1,"Fortune, Miss Mabel",23,Southampton,"Winnipeg, MB",,,10,female
1st,0,"Fortune, Mr Mark",64,Southampton,"Winnipeg, MB",,,,male
1st,1,"Fortune, Mrs Mark (Mary McDougald)",60,Southampton,"Winnipeg, MB",,,10,female
1st,0,"Franklin, Mr Thomas Parham",NA,Southampton,"Westcliff-on-Sea, Essex",,,,male
1st,1,"Frauenthal, Dr Henry William",49,Cherbourg,"New York, NY",,,5,male
1st,1,"Frauenthal, Mrs Henry William (Clara Heinsheimer)",NA,Cherbourg,"New York, NY",,,5,female
1st,1,"Frauenthal, Mr Isaac Gerald",44,Southampton,"New York, NY",,,5,male
1st,1,"Frolicher, Miss Marguerite",22,Cherbourg,"Zurich, Switzerland",,,5,female
1st,1,"Frolicher-Stehli, Mr Maxmillian",60,Cherbourg,"Zurich, Switzerland",,,5,male
1st,1,"Frolicher-Stehli, Mrs Maxmillian (Margaretha Emerentia Stehli)",48,Cherbourg,"Zurich, Switzerland",,,5,female
1st,0,"Futrelle, Mr Jacques",37,Southampton,"Scituate, MA",,,,male
1st,1,"Futrelle, Mrs Jacques (May Peel)",35,Southampton,"Scituate, MA",,,9,female
1st,0,"Gee, Mr Arthur H.",47,Southampton,"St Anne's-on-Sea, Lancashire",,,-275,male
1st,1,"Gibson, Miss Dorothy",22,Cherbourg,"New York, NY",,,7,female
1st,1,"Gibson, Mrs Leonard (Pauline C. Boeson)",45,Cherbourg,"New York, NY",,,7,female
1st,1,"Goldenberg, Mr Samuel L.",49,Cherbourg,"Paris, France / New York, NY",,,5,male
1st,1,"Goldenberg, Mrs Samuel L. (Edwiga Grabowsko)",NA,Cherbourg,"Paris, France / New York, NY",,,5,female
1st,0,"Goldschmidt, Mr George B.",71,Cherbourg,"New York, NY",,,,male
1st,1,"Gracie, Colonel Archibald IV",54,Southampton,"Washington, DC",C-51,113780 L28 10s,B,male
1st,0,"Graham, Mr George Edward",38,Southampton,"Winnipeg, MB",,,-147,male
1st,1,"Graham, Miss Margaret Edith",19,Southampton,"Greenwich, CT",C-125,17582 L153 9s 3d,3,female
1st,1,"Graham, Mrs William Thompson (Edith Junkins)",58,Southampton,"Greenwich, CT",C-91,17582 L153 9s 3d,3,female
1st,1,"Greenfield, Mrs Leo David (Blanche Strouse)",45,Cherbourg,"New York, NY",,,7,female
1st,1,"Greenfield, Mr William Bertram",23,Cherbourg,"New York, NY",,,7,male
1st,0,"Guggenheim, Mr Benjamin",46,Cherbourg,"New York, NY",B-82/4,17593 L56 18s 7d,,male
1st,1,"Harder, Mr George Achilles",25,Cherbourg,"Brooklyn, NY",,,5,male
1st,1,"Harder, Mrs George Achilles (Dorothy Annan)",21,Cherbourg,"Brooklyn, NY",,,5,female
1st,1,"Harper, Mr Henry Sleeper",48,Cherbourg,"New York, NY",,,3,male
1st,1,"Harper, Mrs Henry Sleeper (Myna Haxtun)",49,Cherbourg,"New York, NY",,,3,female
1st,0,"Harris, Mr Henry Birkhardt",45,Southampton,"New York, NY",C-83,36973 L83 9s 6d,,male
1st,1,"Harris, Mrs Henry Birkhardt (Irene Wallach)",36,Southampton,"New York, NY",C-83,36973 L83 9s 6d,D,female
1st,1,"Hawksford, Mr Walter James",NA,Southampton,"Kingston, Surrey",,,3,male
1st,0,"Hays, Mr Charles Melville",55,Southampton,"Montreal, PQ",,,-307,male
1st,1,"Hays, Mrs Charles Melville (Clara Jennings Gregg)",52,Southampton,"Montreal, PQ",,,3,female
1st,1,"Hays, Miss Margaret Bechstein",24,Southampton,"New York, NY",,,7,female
1st,0,"Head, Mr Christopher",NA,Southampton,London / Middlesex,,,,male
1st,0,"Hilliard, Mr Herbert Henry",NA,Southampton,"Brighton, MA",,,,male
1st,0,"Hipkins, Mr William Edward",NA,Southampton,London / Birmingham,,,,male
1st,1,"Hippach, Miss Jean Gertrude",16,Cherbourg,"Chicago, IL",B-18,111361 L57 19s 7d,4,female
1st,1,"Hippach, Mrs Louis Albert (Ida Sophia Fischer)",44,Cherbourg,"Chicago, IL",B-18,111361 L57 19s 7d,4,female
1st,1,"Hogeboom, Mrs John C. (Anna Andrews)",51,Southampton,"Hudson, NY",D-?,13502 L77,10,female
1st,0,"Holverson, Mr Alexander Oskar",42,Southampton,"New York, NY",,,-38,male
1st,1,"Holverson, Mrs Alexander Oskar (Mary Aline Towner)",35,Southampton,"New York, NY",,,,female
1st,1,"Homer, Mr Harry",35,Cherbourg,"Indianapolis, IN",,,15,male
1st,1,"Hoyt, Mr Frederick Maxfield",38,Southampton,"New York, NY / Stamford CT",C-93,,D,male
1st,1,"Hoyt, Mrs Frederick Maxfield (Jane Anne Forby)",35,Southampton,"New York, NY / Stamford CT",C-93,,D,female
1st,0,"Hoyt, Mr William F.",NA,Cherbourg,"New York, NY",,,14,male
1st,0,"Isham, Miss Anne Elizabeth",50,Cherbourg,"Paris, France New York, NY",C-49,,,female
1st,1,"Ismay, Mr Joseph Bruce",49,Southampton,Liverpool,B-52/4/6,112058 Complimentary,C,male
1st,0,"Jones, Mr Charles Cresson",46,Southampton,"Bennington, VT",,,-80,male
1st,0,"Julian, Mr Henry Forbes",NA,Southampton,London,,,,male
1st,0,"Kent, Mr Edward Austin",58,Cherbourg,"Buffalo, NY",,,-258,male
1st,0,"Kenyon, Mr Frederick R.",41,Southampton,"Southington / Noank, CT",,,,male
1st,1,"Kenyon, Mrs Frederick R. (Marion)",NA,Southampton,"Southington / Noank, CT",,,8,female
1st,1,"Kimball, Mr Edwin Nelson Jr.",42,Southampton,"Boston, MA",,,5,male
1st,1,"Kimball, Mrs Edwin Nelson Jr. (Gertrude Parsons)",40,Southampton,"Boston, MA",,,5,female
1st,0,"Klaber, Mr Herman",NA,Southampton,"Portland, OR",,,,male
1st,1,"Leader, Dr Alice Farnham",NA,Southampton,"New York, NY",,,8,female
1st,0,"Lewy, Mr Ervin G.",NA,Cherbourg,"Chicago, IL",,,,male
1st,0,"Lindeberg-Lind, Mr Erik Gustaf",42,Southampton,"Stockholm, Sweden",,,,male
1st,1,"Lindstrom, Mrs Carl Johan (Sigrid Posse)",55,Cherbourg,"Stockholm, Sweden",,,6,female
1st,1,"Lines, Mrs Ernest H. (Elizabeth Lindsey James)",50,Cherbourg,"Paris, France",,,9,female
1st,1,"Lines, Miss Mary Conover",16,Cherbourg,"Paris, France",,,9,female
1st,0,"Lingrey, Mr Edward",NA,,,,,,male
1st,0,"Long, Mr Milton Clyde",29,Southampton,"Springfield, MA",,,-126,male
1st,1,"Longley, Miss Gretchen Fiske",21,Southampton,"Hudson, NY",D-?,13502 L77,10,female
1st,0,"Loring, Mr Joseph Holland",30,Southampton,"London / New York, NY",,,,male
1st,1,"Madill, Miss Georgette Alexandra",15,Southampton,"St Louis, MO",B-5,24160 L221,2,female
1st,0,"Maguire, Mr John Edward",30,Southampton,"Brockton, MA",,,,male
1st,1,"Marechal, Mr Pierre",NA,Cherbourg,"Paris, France",,,7,male
1st,0,"Marvin, Mr Daniel Warner",NA,Southampton,"New York, NY",,,,male
1st,1,"Marvin, Mrs Daniel Warner (Mary Graham Carmichael Farquarson)",NA,Southampton,"New York, NY",,,,female
1st,0,"McCaffry, Mr Thomas Francis",46,Cherbourg,"Vancouver, BC",,,-292,male
1st,0,"McCarthy, Mr Timothy J.",54,Southampton,"Dorchester, MA",,,-175,male
1st,1,"McGough, Mr James R.",36,Southampton,"Philadelphia, PA",,,7,male
1st,0,"Meyer, Mr Edgar Joseph",28,Cherbourg,"New York, NY",,,,male
1st,1,"Meyer, Mrs Edgar Joseph (Leila Saks)",NA,Cherbourg,"New York, NY",,,6,female
1st,0,"Millet, Mr Francis Davis",65,Southampton,"East Bridgewater, MA",,,-249,male
1st,1,"Minahan, Miss Daisy E.",33,Queenstown,"Green Bay, WI",,,14,female
1st,0,"Minahan, Dr William Edward",44,Queenstown,"Fond du Lac, WI",,,-230,male
1st,1,"Minahan, Mrs William Edward (Lillian E. Thorpe)",37,Queenstown,"Fond du Lac, WI",,,14,female
1st,1,"Mock, Mr Philip E.",NA,Cherbourg,"New York, NY",,,11,male
1st,0,"Molson, Mr Harry Markland",55,Southampton,"Montreal, PQ",,,,male
1st,0,"Moore, Mr Clarence Bloomfield",47,Southampton,"Washington, DC",,,,male
1st,0,"Natsch, Mr Charles H.",36,Cherbourg,"Brooklyn, NY",,,,male
1st,0,"Newell, Mr Arthur Webster",58,Cherbourg,"Lexington, MA",,,-122,male
1st,1,"Newell, Miss Madeleine",31,Cherbourg,"Lexington, MA",,,6,female
1st,1,"Newell, Miss Marjorie",23,Cherbourg,"Lexington, MA",,,6,female
1st,1,"Newsom, Miss Helen Monypeny",19,Southampton,"New York, NY",,,5,female
1st,0,"Nicholson, Mr Arthur Ernest",64,Southampton,"Isle of Wight, England",,,-263,male
1st,1,"Omont, Mr A. Fernand",NA,Cherbourg,"Paris, France",,,7,male
1st,0,"Ostby, Mr Engelhart Cornelius",64,Cherbourg,"Providence, RI",,,-234,male
1st,1,"Ostby, Miss Helen Raghnild",22,Cherbourg,"Providence, RI",,,5,female
1st,0,"Ovies y Rodriguez, Mr Servando",28,,"?Havana, Cuba",,,-189,male
1st,0,"Parr, Mr William Henry Marsh",NA,,Belfast,,,,male
1st,0,"Partner, Mr Austin",NA,Southampton,"Surbiton Hill, Surrey",,,-166,male
1st,0,"Payne, Mr Vivian Ponsonby",22,Southampton,"Montreal, PQ",,,,male
1st,0,"Pears, Mr Thomas",NA,Southampton,"Isleworth, England",,,,male
1st,1,"Pears, Mrs Thomas (Edith)",NA,Southampton,"Isleworth, England",,,8,female
1st,0,"Penasco, Mr Victor de Satode",18,Cherbourg,"Madrid, Spain",,,,male
1st,1,"Penasco, Mrs Victor de Satode (Josefa de Soto)",17,Cherbourg,"Madrid, Spain",,,8,female
1st,1,"Peuchen, Major Arthur Godfrey",52,Southampton,"Toronto, ON",C-104,,6,male
1st,0,"Porter, Mr Walter Chamberlain",46,Southampton,"Worcester, MA",,,-207,male
1st,1,"Potter, Mrs Thomas, Jr. (Lily Alexenia Wilson)",56,Cherbourg,"Mt Airy, Philadelphia, PA",,,7,female
1st,0,"Reuchlin, Jonkheer John George",NA,Southampton,"Rotterdam, Netherlands",,,,male
1st,1,"Rheims, Mr George Lucien",NA,Cherbourg,"Paris / New York, NY",,17604 L39 12s,A,male
1st,1,"Robert, Mrs Edward Scott (Elisabeth Walton McMillan)",43,Southampton,"St Louis, MO",B-3,24160 L221,2,female
1st,0,"Roebling, Mr Washington Augustus 2nd",31,Southampton,"Trenton, NJ",,,,male
1st,1,"Romaine, Mr Charles Hallace",NA,Southampton,"New York, NY",,,15,male
1st,0,"Rood, Mr Hugh R.",NA,Southampton,"Seattle, WA",,,,male
1st,1,"Rosenbaum (Russell), Miss Edith Louise",33,Cherbourg,"Paris, France",A-11,17613 L27 14s 5d,11,female
1st,0,"Ross, Mr John Hugo",NA,Cherbourg,"Winnipeg, MB",,,,male
1st,1,"Rothes, the Countess of (Noel Lucy Martha Dyer-Edwardes)",27,Southampton,"London Vancouver, BC",,,8,female
1st,0,"Rothschild, Mr Martin",55,Cherbourg,"New York, NY",,,,male
1st,1,"Rothschild, Mrs Martin (Elizabeth L. Barrett)",54,Cherbourg,"New York, NY",,,6,female
1st,0,"Rowe, Mr Alfred G.",NA,Southampton,London,,,-109,male
1st,0,"Ryerson, Mr Arthur Larned",61,Cherbourg,"Haverford, PA / Cooperstown, NY",,17608 L262 7s 6d,,male
1st,1,"Ryerson, Mrs Arthur Larned (Emily Maria Borie)",48,Cherbourg,"Haverford, PA / Cooperstown, NY",,17608 L262 7s 6d,4,female
1st,1,"Ryerson, Miss Emily Borie",18,Cherbourg,"Haverford, PA / Cooperstown, NY",,17608 L262 7s 6d,4,female
1st,1,"Ryerson, Master John Borie",13,Cherbourg,"Haverford, PA / Cooperstown, NY",,17608 L262 7s 6d,4,male
1st,1,"Ryerson, Miss Susan (Suzette) Parker",21,Cherbourg,"Haverford, PA / Cooperstown, NY",,17608 L262 7s 6d,4,female
1st,1,"Saalfeld, Mr Adolphe",NA,Southampton,"Manchester, England",,,3,male
1st,1,"Salomon, Mr Abraham L.",NA,Southampton,"New York, NY",,,1,male
1st,1,"Schabert, Mrs Paul (Emma Mock)",NA,Cherbourg,"New York, NY",,,11,female
1st,1,"Seward, Mr Frederic Kimber",34,Southampton,"New York, NY",,,7,male
1st,1,"Shutes, Miss Elizabeth W.",40,Southampton,"New York, NY / Greenwich CT",C-125,17582 L153 9s 3d,3,female
1st,1,"Silverthorne, Mr Spencer Victor",36,Southampton,"St Louis, MO",,,5,male
1st,0,"Silvey, Mr William Baird",50,,"Duluth, MN",,,,male
1st,1,"Silvey, Mrs William Baird (Alice Munger)",39,,"Duluth, MN",,,,female
1st,1,"Simonius-Blumer, Col Alfons",56,,"Basel, Switzerland",,,3,male
1st,1,"Sloper, Mr William Thompson",28,Southampton,"New Britain, CT",,,7,male
1st,0,"Smart, Mr John Montgomery",56,Southampton,"New York, NY",,,,male
1st,0,"Smith, Mr James Clinch",56,Cherbourg,"St James, Long Island, NY",,,,male
1st,0,"Smith, Mr Lucien Philip",24,Southampton,"Huntington, WV",,,,male
1st,1,"Smith, Mrs Lucien Philip (Mary Eloise Hughes",18,Southampton,"Huntington, WV",,,6,female
1st,0,"Smith, Mr Richard William",NA,Southampton,"Streatham, Surrey",,,,male
1st,1,"Snyder, Mr John Pillsbury",24,Southampton,"Minneapolis, MN",,,7,male
1st,1,"Snyder, Mrs John Pillsbury (Nelle Stevenson)",23,Southampton,"Minneapolis, MN",,,7,female
1st,1,"Spedden, Mr Frederick Oakley",45,Cherbourg,"Tuxedo Park, NY",,,3,male
1st,1,"Spedden, Mrs Frederick Oakley (Margaretta Corning Stone)",40,Cherbourg,"Tuxedo Park, NY",,,3,female
1st,1,"Spedden, Master Robert Douglas",6,Cherbourg,"Tuxedo Park, NY",,,3,male
1st,0,"Spencer, Mr William Augustus",57,Cherbourg,"Paris, France",,,,male
1st,1,"Spencer, Mrs William Augustus (Marie Eugenie)",NA,Cherbourg,"Paris, France",,,6,female
1st,1,"Staehlin, Dr Max",32,Cherbourg,"Basel, Switzerland",,,3,male
1st,0,"Stead, Mr William Thomas",62,Southampton,"Wimbledon Park, London / Hayling Island, Hants",C-89,,,male
1st,1,"Stengel, Mr Charles Emil Henry",54,Cherbourg,"Newark, NJ",,,1,male
1st,1,"Stengel, Mrs Charles Emil Henry (Annie May Morris)",43,Cherbourg,"Newark, NJ",,,5,female
1st,1,"Stephenson, Mrs Walter Bertram (Martha Eustis)",52,,"Haverford, PA",,,4,female
1st,0,"Stewart, Mr Albert A.",NA,Cherbourg,"Gallipolis, Ohio / ? Paris / New York",,,,male
1st,1,"Stone, Mrs George Nelson (Martha E.)",62,,"Cincinatti, OH",,,6,female
1st,0,"Straus, Mr Isidor",67,Southampton,"New York, NY",,17483 L221 15s 7d,-96,male
1st,0,"Straus, Mrs Isidor (Ida Blun)",63,Southampton,"New York, NY",,17483 L221 15s 7d,,female
1st,0,"Sutton, Mr Frederick",61,Southampton,"Haddenfield, NJ",,,-46,male
1st,1,"Swift, Mrs Frederick Joel (Margaret Welles Barron)",46,Southampton,"Brooklyn, NY",,,8,female
1st,0,"Taussig, Mr Emil",52,Southampton,"New York, NY",,,,male
1st,1,"Taussig, Mrs Emil (Tillie Mandelbaum)",39,Southampton,"New York, NY",,,8,female
1st,1,"Taussig, Miss Ruth",18,Southampton,"New York, NY",,,8,female
1st,1,"Taylor, Mr Elmer Zebley",48,Southampton,"London / East Orange, NJ",C-126,,5,male
1st,1,"Taylor, Mrs Elmer Zebley (Juliet Cummins Wright)",NA,Southampton,"London / East Orange, NJ",C-126,,5,female
1st,0,"Thayer, Mr John Borland",49,Cherbourg,"Haverford, PA",,,,male
1st,1,"Thayer, Mrs John Borland (Marian Longstreth Morris)",39,Cherbourg,"Haverford, PA",,,4,female
1st,1,"Thayer, Mr John Borland, jr.",17,Cherbourg,"Haverford, PA",,,B,male
1st,0,"Thorne, Mr George (alias of: Mr George Rosenshine)",46,Cherbourg,"New York, NY",,,,male
1st,1,"Thorne, Mrs Gertrude Maybelle",NA,Cherbourg,"New York, NY",,,D,female
1st,1,"Tucker, Mr Gilbert Milligan, jr",31,Cherbourg,"Albany, NY",,,7,male
1st,0,"Uruchurtu, Mr Manuel E.",NA,Cherbourg,"Mexico City, Mexico",,,,male
1st,0,"Van Derhoef, Mr Wyckoff",61,Southampton,"Brooklyn, NY",,,-245,male
1st,0,"Walker, Mr William Anderson",47,Southampton,"East Orange, NJ",,,,male
1st,0,"Warren, Mr Frank Manley",64,Cherbourg,"Portland, OR",,,,male
1st,1,"Warren, Mrs Frank Manley (Anna S. Atkinson)",60,Cherbourg,"Portland, OR",,,5,female
1st,0,"Weir, Col John",60,Southampton,"England Salt Lake City, Utah",,,,male
1st,1,"White, Mrs J. Stuart (Ella Holmes)",55,Cherbourg,"New York, NY / Briarcliff Manor NY",,,8,female
1st,0,"White, Mr Percival Wayland",54,Southampton,"Brunswick, ME",,,,male
1st,0,"White, Mr Richard Frasar",21,Southampton,"Brunswick, ME",,,-169,male
1st,0,"Wick, Mr George Dennick",57,Southampton,"Youngstown, OH",,,,male
1st,1,"Wick, Mrs George Dennick (Martha Hitchcock)",45,Southampton,"Youngstown, OH",,,8,female
1st,1,"Wick, Miss Mary Natalie",31,Southampton,"Youngstown, OH",C-7,,8,female
1st,0,"Widener, Mr George Dunton",50,Cherbourg,"Elkins Park, PA",,,,male
1st,1,"Widener, Mrs George Dunton (Eleanor Elkins)",50,Cherbourg,"Elkins Park, PA",,,4,female
1st,0,"Widener, Mr Harry Elkins",27,Cherbourg,"Elkins Park, PA",,,,male
1st,1,"Willard, Miss Constance",20,Southampton,"Duluth, MN",,,,female
1st,0,"Williams, Mr Charles Duane",51,Cherbourg,"Geneva, Switzerland / Radnor, PA",,,,male
1st,0,"Williams, Mr Fletcher Lambert",NA,Southampton,"London, England",,,,male
1st,1,"Williams, Mr Richard Norris II",21,Cherbourg,"Geneva, Switzerland / Radnor, PA",,,A,male
1st,1,"Woolner, Mr Hugh",NA,Southampton,"London, England",,,D,male
1st,0,"Wright, Mr George",NA,Southampton,"Halifax, NS",,,,male
1st,1,"Young, Miss Marie Grice",36,Cherbourg,"New York, NY / Washington, DC",,,8,female
1st,1,"Barber, Ms ",NA,Southampton,,,,,female
1st,1,"Bazzani, Ms Albina",NA,Cherbourg,,,,,female
1st,1,"Bidois, Miss Rosalie",NA,Cherbourg,,,17754,,female
1st,1,"Bird, Ms Ellen",NA,Southampton,,C-97,17483,,female
1st,1,"Bissetti, Ms Amelia",NA,Cherbourg,,C-99,,,female
1st,1,"Burns, Ms Elizabeth Margaret",NA,Cherbourg,,,,,female
1st,1,"Chaudanson, Ms Victorine",NA,Cherbourg,,,17608,,female
1st,1,"Cleaver, Ms Alice",NA,Southampton,,C22,,11,female
1st,1,"Daniels, Ms Sarah",NA,Southampton,,C-22,,8,female
1st,1,"Endres, Miss Caroline Louise",NA,Cherbourg,"New York, NY",C-45,17754 L224 10s 6d,4,female
1st,0,"Farthing, Mr John",NA,Southampton,,C-55 (?C-95),17483,,male
1st,0,"Fleming, Ms Margaret",NA,Cherbourg,,,,4,female
1st,1,"Francatelli, Ms Laura Mabel",NA,Cherbourg,,,17485,,female
1st,0,"Fry, Mr Richard",NA,Southampton,,B-102,112058,,male
1st,1,"Geiger, Miss Emily ",NA,Cherbourg,,,,,female
1st,0,"Giglio, Mr Victor",NA,Cherbourg,,B-86,17593,,male
1st,0,"Harrington, Mr Charles",NA,Southampton,,,,,male
1st,0,"Harrison, Mr William Henry",40,Southampton,,,112059,-110,male
1st,0,"Hassah, Mr Hamad",NA,Cherbourg,,,,,male
1st,1,"Icabad (Icabod), Ms",NA,,,,,,female
1st,0,"Keeping, Mr Edwin",32,Cherbourg,,,,-45,male
1st,1,"Kenchen, Ms Amelia",NA,Southampton,,,,2,female
1st,1,"LeRoy, Miss Berthe",NA,Cherbourg,,,,2,female
1st,0,"Lesneur, Mr Gustave",NA,Cherbourg,,B-?,,,male
1st,1,"Maloney, Ms",NA,Southampton,,,,8,female
1st,0,"Oliva, Mlle",NA,Cherbourg,,,,,female
1st,1,"Pericault, Ms",NA,Southampton,,,,,female
1st,0,"Ringhini, Mr Sante",33,Cherbourg,,,,-232,male
1st,0,"Robbins, Mr Victor",NA,Cherbourg,,C-62,17754,,male
1st,1,"Segesser, Mlle. Emma",NA,Cherbourg,,,,,female
1st,0,"Seredeca, Ms",NA,Southampton,,,,,female
1st,0,"Ward, Ms Anna",NA,Cherbourg,,,,,female
1st,1,"Wilson, Ms Helen",NA,Cherbourg,,,,,female
2nd,0,"Abelson, Mr Samuel",30,Cherbourg,"Russia New York, NY",,,,male
2nd,1,"Abelson, Mrs Samuel (Anna)",28,Cherbourg,"Russia New York, NY",,,12,female
2nd,0,"Andrew, Mr Edgar Samuel",18,Southampton,"Buenos Aires, Argentina / New Jersey, NJ",,,,male
2nd,0,"Andrew, Mr Frank",NA,Southampton,"Cornwall, England Houghton, MI",,,,male
2nd,0,"Angle, Mr William A.",34,Southampton,"Warwick, England",,,,male
2nd,1,"Angle, Mrs William A. (Florence)",32,Southampton,"Warwick, England",,,,female
2nd,0,"Ashby, Mr John",57,Southampton,"West Hoboken, NJ",,,,male
2nd,0,"Bailey, Mr Percy Andrew",18,Southampton,"Penzance, Cornwall / Akron, OH",,,,male
2nd,0,"Baimbrigge, Mr Charles R.",23,Southampton,Guernsey,,,,male
2nd,1,"Balls, Mrs Ada E. Hall",36,Southampton,"Bristol, Avon / Jacksonville, FL",,,,female
2nd,0,"Banfield, Mr Frederick J.",28,Southampton,"Plymouth, Dorset / Houghton, MI",,,,male
2nd,0,"Bateman, Rev Robert James",51,Southampton,"Jacksonville, FL",,,-174,male
2nd,1,"Beane, Mr Edward",32,Southampton,"Norwich / New York, NY",,,,male
2nd,1,"Beane, Mrs Edward (Ethel Clarke)",19,Southampton,"Norwich / New York, NY",,,,female
2nd,0,"Beauchamp, Mr Henry James",28,Southampton,England,,,,male
2nd,1,"Becker, Mrs Allen Oliver (Nellie E. Baumgardner)",36,Southampton,"Guntur, India / Benton Harbour, MI",,230136 L39,11,female
2nd,1,"Becker, Miss Marion Louise",4,Southampton,"Guntur, India / Benton Harbour, MI",,230136 L39,11,female
2nd,1,"Becker, Master Richard F.",1,Southampton,"Guntur, India / Benton Harbour, MI",,230136 L39,11,male
2nd,1,"Becker, Miss Ruth Elizabeth",12,Southampton,"Guntur, India / Benton Harbour, MI",,230136 L39,13,female
2nd,1,"Beesley, Mr Lawrence",34,Southampton,London,D-56,248698 L13,13,male
2nd,1,"Bentham, Miss Lilian W.",19,Southampton,"Rochester, NY",,,12,female
2nd,0,"Berriman, Mr William S.",23,Southampton,"St Ives, Cornwall / Calumet, MI",,,,male
2nd,0,"Botsford, Mr William Hull",26,Southampton,"Elmira, NY / Orange, NJ",,,,male
2nd,0,"Bowenur, Mr Solomon",NA,Southampton,London,,,,male
2nd,0,"Bracken, Mr James H.",27,Southampton,"Lake Arthur, Chavez County, NM",,,,male
2nd,1,"Brown, Miss Edith E.",15,Southampton,"Cape Town, South Africa / Seattle, WA",,,14,female
2nd,0,"Brown, Mr Thomas William Solomon",45,Southampton,"Cape Town, South Africa / Seattle, WA",,,,male
2nd,1,"Brown, Mrs Thomas William Solomon (Elizabeth C.)",40,Southampton,"Cape Town, South Africa / Seattle, WA",,,14,female
2nd,1,"Bryhl, Miss Dagmar",20,Southampton,"Skara, Sweden / Rockford, IL",,,12,female
2nd,0,"Bryhl, Mr Kurt Arnold Gottfrid",25,Southampton,"Skara, Sweden / Rockford, IL",,,,male
2nd,1,"Buss, Miss Kate",36,Southampton,"Sittingbourne, England / San Diego, CA",E-?,27849,9,female
2nd,0,"Butler, Mr Reginald Fenton",25,Southampton,"Southsea, Hants",,,-97,male
2nd,0,"Byles, Rev. Thomas Roussel D.",NA,Southampton,London,,,,male
2nd,1,"Bystrom, Mrs Carolina",42,Southampton,"New York, NY",,,,female
2nd,1,"Caldwell, Mr Albert Francis",26,Southampton,"Bangkok, Thailand / Roseville, IL",,,13,male
2nd,1,"Caldwell, Mrs Albert Francis (Sylvia Mae Harbaugh)",26,Southampton,"Bangkok, Thailand / Roseville, IL",,,13,female
2nd,1,"Caldwell, Master Alden Gates",0.8333,Southampton,"Bangkok, Thailand / Roseville, IL",,,13,male
2nd,1,"Cameron, Miss Clear",31,Southampton,"Mamaroneck, NY",,,,female
2nd,0,"Campbell, Mr William",NA,,Belfast,,,,male
2nd,0,"Carbines, Mr William",19,Southampton,"St Ives, Cornwall / Calumet, MI",,,-18,male
2nd,0,"Carter, Rev Ernest Courtenay",54,Southampton,London,,,,male
2nd,0,"Carter, Mrs Ernest Courtenay (Lillian Hughes)",44,Southampton,London,,,,female
2nd,0,"Chapman, Mr Charles Henry",52,Southampton,"Bronx, NY",,,-130,male
2nd,0,"Chapman, Mr John Henry",30,Southampton,"Cornwall / Spokane, WA",,,-17,male
2nd,0,"Chapman, Mrs John Henry (Elizabeth Lawry)",30,Southampton,"Cornwall / Spokane, WA",,,,female
2nd,1,"Christy, Mrs Alice Frances",NA,Southampton,London,,,,female
2nd,1,"Christy, Miss Julie",NA,Southampton,London,,,,female
2nd,0,"Clarke, Mr Charles V.",29,Southampton,"England / San Francisco, CA",,,,male
2nd,1,"Clarke, Mrs Charles V. (Ada Maria)",NA,Southampton,"England / San Francisco, CA",,,14,female
2nd,0,"Coleridge, Mr Reginald Charles",29,Southampton,"Hartford, Huntingdonshire",,,,male
2nd,0,"Collander, Mr Erik",27,Southampton,"Helsinki, Finland Ashtabula, Ohio",,,,male
2nd,1,"Collett, Mr Sidney C. Stuart",24,Southampton,"London / Fort Byron, NY",,,9,male
2nd,0,"Collyer, Mr Harvey",35,Southampton,"Bishopstoke, Hants / Fayette Valley, ID",,,,male
2nd,1,"Collyer, Mrs Harvey (Charlotte Tate)",31,Southampton,"Bishopstoke, Hants / Fayette Valley, ID",,,14,female
2nd,1,"Collyer, Miss Marjorie",8,Southampton,"Bishopstoke, Hants / Fayette Valley, ID",,,14,female
2nd,0,"Cook, Mrs Selena Rogers",22,Southampton,Pennsylvania,F-33,,14,female
2nd,0,"Corbett, Mrs Walter H. (Irene Colvin)",30,Southampton,"Provo, UT",,,,female
2nd,0,"Corey, Mrs Percy C. (Mary Phyllis Elizabeth Miller)",NA,Southampton,"Upper Burma, India Pittsburgh, PA",,,,female
2nd,0,"Cotterill, Mr Harry",20,Southampton,"Penzance, Cornwall / Akron, OH",,,,male
2nd,0,"Cunningham, Mr Alfred Fleming",NA,,Belfast,,,,male
2nd,0,"Davies, Mr Charles Henry",21,Southampton,"Lyndhurst, England",,,,male
2nd,1,"Davis, Mrs Agnes",49,Southampton,"St Ives, Cornwall / Hancock, MI",,,,female
2nd,1,"Davis, Master John Morgan",8,Southampton,"St Ives, Cornwall / Hancock, MI",,,,male
2nd,1,"Davis, Miss Mary",28,Southampton,"London / Staten Island, NY",,,13,female
2nd,0,"Deacon, Mr Percy",18,Southampton,,,,,male
2nd,0,"de Brito, Mr Jose Joaquim",NA,,"Portugal / Sau Paulo, Brazil",,,,male
2nd,0,"del Carlo, Mr Sebastiano",28,Cherbourg,"Lucca, Italy / California",,,-295,male
2nd,1,"del Carlo, Mrs Sebastiano (Argenia Genovese)",22,Cherbourg,"Lucca, Italy / California",,,,female
2nd,0,"Denbury, Mr Herbert",25,Southampton,"Guernsey / Elizabeth, NJ",,,,male
2nd,0,"Dibden, Mr William",18,Southampton,"New Forest, England",,,,male
2nd,1,"Doling, Mrs Ada",32,Southampton,Southampton,,,,female
2nd,1,"Doling, Miss Elsie",18,Southampton,Southampton,,,,female
2nd,0,"Downton (?Douton), Mr William James",NA,Southampton,"Holley, NY",,,,male
2nd,0,"Drew, Mr James Vivian",42,Southampton,"Greenport, NY",,28220 L32 10s,,male
2nd,1,"Drew, Mrs James Vivian (Lulu Thorne Christian)",34,Southampton,"Greenport, NY",,28220 L32 10s,,female
2nd,1,"Drew, Master Marshall Brines",8,Southampton,"Greenport, NY",,28220 L32 10s,,male
2nd,1,"Duran y More, Miss Asuncion",NA,Cherbourg,"Barcelona, Spain / Havana, Cuba",,,12,female
2nd,1,"Duran y More, Miss Florentina",NA,Cherbourg,"Barcelona, Spain / Havana, Cuba",,,12,female
2nd,0,"Eitemiller, Mr George Floyd",23,Southampton,"England / Detroit, MI",,,,male
2nd,0,"Enander, Mr Ingvar",21,Southampton,"Goteborg, Sweden / Rockford, IL",,,,male
2nd,0,"Fahlstrom, Mr Arne Jonas",19,Southampton,"Oslo, Norway Bayonne, NJ",,,,male
2nd,0,"Faunthorpe, Mr Harry",NA,Southampton,"England / Philadelphia, PA",,,-286,male
2nd,1,"Faunthorpe, Mrs Lizzie (see Wilkinson, E.)",NA,,,,,,female
2nd,0,"Fillbrook, Mr Charles",NA,Southampton,"Cornwall / Houghton, MI",,,,male
2nd,0,"Fox, Mr Stanley H.",38,Southampton,"Rochester, NY",,229236 L13,-236,male
2nd,0,"Frost, Mr Anthony (Archie) W.",NA,,Belfast,,,,male
2nd,0,"Funk, Miss Annie C.",38,Southampton,"Janjgir, India / Pennsylvania",,,,female
2nd,0,"Fynney, Mr Joseph J.",35,Southampton,"Liverpool / Montreal, PQ",,,-322,male
2nd,0,"Gale, Mr Harry",35,Southampton,"Cornwall / Clear Creek, CO",,,,male
2nd,0,"Gale, Mr Shadrach",38,Southampton,"Cornwall / Clear Creek, CO",,,,male
2nd,1,"Garside, Miss Ethel",24,Southampton,"Brooklyn, NY",,,,female
2nd,0,"Gaskell, Mr Alfred",16,Southampton,"Liverpool / Montreal, PQ",,,,male
2nd,0,"Gavey, Mr Lawrence",26,Southampton,"Guernsey / Elizabeth, NJ",,,,male
2nd,0,"Gilbert, Mr William",45,Southampton,Cornwall,,,,male
2nd,0,"Giles, Mr Edgar",24,Southampton,"Cornwall / Camden, NJ",,,,male
2nd,0,"Giles, Mr Frederick",21,Southampton,"Cornwall / Camden, NJ",,,,male
2nd,0,"Giles, Mr Ralph",22,Southampton,"West Kensington, London",,,-297,male
2nd,0,"Gill, Mr John W.",NA,Southampton,"Clevedon, England",,,,male
2nd,0,"Gillespie, Mr William",34,Southampton,"Vancouver, BC",,,,male
2nd,0,"Givard, Mr Hans Christensen",30,Southampton,,,,-305,male
2nd,0,"Greenberg, Mr Samuel",50,Southampton,"Bronx, NY",,,-19,male
2nd,0,"Hale, Mr Reginald",30,Southampton,"Auburn, NY",,,-75,male
2nd,1,"Hamalainen, Mrs William (Anna)",23,Southampton,"Detroit, MI",,,,female
2nd,1,"Hamalainen, Master Viljo",1,Southampton,"Detroit, MI",,,,male
2nd,0,"Harbeck, Mr William H.",44,Southampton,"Seattle, WA / Toledo, OH",,248749 L13,-35,male
2nd,0,"Harper, Rev John",28,Southampton,"Denmark Hill, Surrey / Chicago",,,,male
2nd,1,"Harper, Miss Nina",6,Southampton,"Denmark Hill, Surrey / Chicago",,,11,female
2nd,1,"Harris, Mr George",30,Southampton,London,,,,male
2nd,0,"Harris, Mr Walter",NA,Southampton,"Walthamstow, England",,,,male
2nd,0,"Hart, Mr Benjamin",43,Southampton,"Ilford, Essex / Winnipeg, MB",,13529 L26 5s,,male
2nd,1,"Hart, Mrs Benjamin (Esther)",45,Southampton,"Ilford, Essex / Winnipeg, MB",,13529 L26 5s,14,female
2nd,1,"Hart, Miss Eva Miriam",7,Southampton,"Ilford, Essex / Winnipeg, MB",,13529 L26 5s,14,female
2nd,1,"Herman, Miss Alice",24,Southampton,"Somerset / Bernardsville, NJ",,,9,female
2nd,1,"Herman, Miss Kate",24,Southampton,"Somerset / Bernardsville, NJ",,,9,female
2nd,0,"Herman, Mr Samuel",49,Southampton,"Somerset / Bernardsville, NJ",,,,male
2nd,1,"Herman, Mrs Samuel (Jane Laver)",48,Southampton,"Somerset / Bernardsville, NJ",,,9,female
2nd,1,"Hewlett, Mrs Mary D.",NA,Southampton,"India / Rapid City, SD",,,13,female
2nd,0,"Hickman, Mr Leonard Mark",34,Southampton,"West Hampstead, London / Neepawa, MB",,,-256,male
2nd,0,"Hickman, Mr Lewis",32,Southampton,"West Hampstead, London / Neepawa, MB",,,,male
2nd,0,"Hickman, Mr Stanley George",21,Southampton,"West Hampstead, London / Neepawa, MB",,,,male
2nd,0,"Hiltunen, Miss Marta",18,Southampton,"Kontiolahti, Finland / Detroit, MI",,,,female
2nd,1,"Hocking, Mrs Elizabeth",53,Southampton,"Cornwall / Akron, OH",,,4,female
2nd,0,"Hocking, Mr George",23,Southampton,"Cornwall / Akron, OH",,,,male
2nd,1,"Hocking, Miss Ellen (Nellie)",21,Southampton,"Cornwall / Akron, OH",,,4,female
2nd,0,"Hocking, Mr Samuel James",NA,Southampton,"Devonport, England",,,,male
2nd,0,"Hodges, Mr Henry Price",52,Southampton,Southampton,,,-149,male
2nd,0,"Hold, Mr Stephen",42,Southampton,"England / Sacramento, CA",,,,male
2nd,1,"Hold, Mrs Stephen (Annie Margaret)",36,Southampton,"England / Sacramento, CA",,,,female
2nd,0,"Hood, Mr Ambrose, Jr",21,Southampton,"New Forest, England",,,,male
2nd,1,"Hosono, Mr Masafumi",41,Southampton,"Tokyo, Japan",,,13,male
2nd,0,"Howard, Mr Benjamin",NA,Southampton,"Swindon, England",,,,male
2nd,0,"Howard, Mrs Benjamin (Ellen Truelove)",NA,Southampton,"Swindon, England",,,,female
2nd,0,"Hunt, Mr George Henry",33,Southampton,"Philadelphia, PA",,,,male
2nd,1,"Ilett, Miss Bertha",17,Southampton,Guernsey,,,,female
2nd,0,Jacobsohn Mr Sidney Samuel,NA,Southampton,London,,,,male
2nd,1,"Jacobsohn, Mrs Sidney Samuel (Amy Frances Christy)",NA,Southampton,London,,,,female
2nd,0,"Jarvis, Mr John Denzil",NA,Southampton,"North Evington, England",,,,male
2nd,0,"Jefferys, Mr Clifford",NA,Southampton,"Guernsey / Elizabeth, NJ",,,,male
2nd,0,"Jefferys, Mr Ernest",NA,Southampton,"Guernsey / Elizabeth, NJ",,,,male
2nd,0,"Jenkin, Mr Stephen Curnow",NA,Southampton,"St Ives, Cornwall / Houghton, MI",,,,male
2nd,1,"Jerwan, Mrs Amin S. (Marie Thuillard)",23,Cherbourg,"New York, NY",,,,female
2nd,0,"Kantor, Mr Sinai",34,Southampton,"Moscow / Bronx, NY",,,-283,male
2nd,1,"Kantor, Mrs Sinai (Miriam Sternim)",NA,Southampton,"Moscow / Bronx, NY",,,,female
2nd,0,"Karnes, Mrs J. Frank (Claire Bennett)",22,Southampton,"India / Pittsburgh, PA",,,,female
2nd,0,"Keane, Mr Daniel",NA,Queenstown,,,,,male
2nd,1,"Keane, Miss Nora A.",NA,Queenstown,"Harrisburg, PA",E-101,,10,female
2nd,1,"Kelly, Mrs Florence (Fannie)",45,Southampton,"London / New York, NY",,,,female
2nd,0,"Kirkland, Rev Charles Leonard",NA,Queenstown,"Glasgow / Bangor, ME",,,,male
2nd,0,"Knight, Mr Robert",NA,,Belfast,,,,male
2nd,0,"Kvillner, Mr Johan Henrik Johannesson",31,Southampton,"Sweden / Arlington, NJ",,,-165,male
2nd,0,"Lahtinen, Rev William",30,Southampton,"Minneapolis, MN",,,,male
2nd,0,"Lahtinen, Mrs William (Anna Sylvan)",26,Southampton,"Minneapolis, MN",,,,female
2nd,0,"Lamb, Mr John James",NA,Queenstown,,,,,male
2nd,1,"Lemore, Mrs Amelia",34,Southampton,"Chicago, IL",F-33,,14/D,female
2nd,0,"LaRoche, Mr Joseph",26,Cherbourg,Paris / Haiti,,,,male
2nd,1,"LaRoche, Mrs Joseph (Juliet)",22,Cherbourg,Paris / Haiti,,,,female
2nd,1,"LaRoche, Miss Louise",1,Cherbourg,Paris / Haiti,,,,female
2nd,1,"LaRoche, Miss Simonne",3,Cherbourg,Paris / Haiti,,,,female
2nd,1,"Lehmann, Miss Bertha",NA,Cherbourg,"Berne, Switzerland / Central City, IA",,,,female
2nd,1,"Leitch, Miss Jessie",NA,Southampton,"London / Chicago, IL",,,11,female
2nd,0,"Levy, Mr Rene Jacques",NA,Cherbourg,"Montreal, PQ",,,,male
2nd,0,"Leyson, Mr Robert William Norman",25,Southampton,,,,-108,male
2nd,0,"Lingan, Mr John",NA,Queenstown,,,,,male
2nd,0,"Louch, Mr Charles Alexander",48,Southampton,"Weston-Super-Mare, Somerset",,,-121,male
2nd,1,"Louch, Mrs Charles Alexander (Alice Adelaide)",NA,Southampton,"Weston-Super-Mare, Somerset",,,14,female
2nd,0,"Mack, Mrs Mary",57,Southampton,"Southampton / New York, NY",E77,,-52,female
2nd,0,"Malachard, Mr Noel",NA,Cherbourg,Paris,,,,male
2nd,0,"Mallet, Mr Albert",NA,Cherbourg,"Paris / Montreal, PQ",,,,male
2nd,1,"Mallet, Mrs Albert (Antoinette)",NA,Cherbourg,"Paris / Montreal, PQ",,,,female
2nd,1,"Mallet, Master Andre",2,Cherbourg,"Paris / Montreal, PQ",,,,male
2nd,0,"Mangiavacchi, Mr Serafino Emilio",NA,Cherbourg,"New York, NY",,,,male
2nd,0,"Mantvila, Rev Joseph",27,Southampton,"Worcester, MA",,,,male
2nd,1,"Marshall, Mrs Kate Louise Phillips",19,Southampton,"Worcester, England",,,,female
2nd,0,"Matthews, Mr William John",30,Southampton,"St Austall, Cornwall",,,,male
2nd,0,"Maybery, Mr Frank H.",20,Southampton,"Weston-Super-Mare / Moose Jaw, SK",,,,male
2nd,0,"McCrae, Mr Arthur Gordon",45,Southampton,"Sydney, Australia",,,-209,male
2nd,0,"McCrie, Mr James Matthew",NA,Southampton,"Sarnia, ON",,,,male
2nd,0,"McKane, Mr Peter D.",46,Southampton,"Rochester, NY",,,,male
2nd,1,"Mellenger, Mrs Elizabeth Anne",41,Southampton,"England / Bennington, VT",,,14/12,female
2nd,1,"Mellenger, Miss Madeleine Violet",13,Southampton,"England / Bennington, VT",,,14/12,female
2nd,1,"Mellor, Mr William John",19,Southampton,"Chelsea, London",,,B,male
2nd,0,"Meyer, Mr August",30,Southampton,"Harrow-on-the-Hill, Middlesex",,,,male
2nd,0,"Milling, Mr Jacob Christian",48,Southampton,"Copenhagen, Denmark",,,-271,male
2nd,0,"Mitchell, Mr Henry Michael",71,Southampton,"Guernsey / Montclair, NJ and/or Toledo, Ohio",,,,male
2nd,0,"Moraweck, Dr Ernest",54,Southampton,"Frankfort, KY",,,,male
2nd,0,"Morley, Mr William",NA,Southampton,"Petworth, Sussex",,,,male
2nd,0,"Mudd, Mr Thomas C.",NA,Southampton,"Halesworth, England",,,,male
2nd,0,"Myles, Mr Thomas Francis",64,Queenstown,"Cambridge, MA",,,,male
2nd,0,"Nasser (Nasrallah), Mr Nicholas",32,Cherbourg,"New York, NY",,,-43,male
2nd,1,"Nasser (Nasrallah), Mrs Nicholas",18,Cherbourg,"New York, NY",,,,female
2nd,1,"Navratil, Master Edmond Roger",2,Southampton,"Nice, France",,230080 L26,D,male
2nd,0,"Navratil, Mr Michel",32,Southampton,"Nice, France",,230080 L26,-15,male
2nd,1,"Navratil, Master Michel M.",3,Southampton,"Nice, France",,230080 L26,D,male
2nd,0,"Nesson, Mr Israel",26,Southampton,"Boston, MA",,,,male
2nd,0,"Nicholls, Mr Joseph Charles",19,Southampton,"Cornwall / Hancock, MI",,,-101,male
2nd,0,"Norman, Mr Robert Douglas",NA,Southampton,Glasgow,,,-287,male
2nd,1,"Nourney, Mr Alfred (aka Baron von Drachstedt)",20,Cherbourg,"Cologne, Germany",D-38,,7,male
2nd,1,"Nye, Mrs Elizabeth Ramell",29,Southampton,"Folkstone, Kent / New York, NY",F-33,,11,female
2nd,0,"Otter, Mr Richard",39,Southampton,"Middleburg Heights, OH",,,,male
2nd,1,"Oxenham, Mr Percy Thomas",22,Southampton,"Pondersend, England / New Durham, NJ",,,,male
2nd,1,"Padro y Manent, Mr Julian",NA,Cherbourg,"Spain / Havana, Cuba",,,,male
2nd,0,"Pain, Dr Alfred",24,Southampton,"Hamilton, ON",,,,male
2nd,1,"Pallas y Castello, Mr Emilio",NA,Cherbourg,"Spain / Havana, Cuba",,,,male
2nd,0,"Parker, Mr Clifford R.",28,Southampton,"St Andrews, Guernsey",,,,male
2nd,0,"Parkes, Mr Francis (Frank)",NA,,Belfast,,,,male
2nd,1,"Parrish, Mrs Lutie Davis",50,Southampton,"Woodford County, KY",,,12,female
2nd,0,"Pengelly, Mr Frederick",20,Southampton,"Gunnislake, England / Butte, MT",,,,male
2nd,0,"Peruschitz, Rev. Joseph M.",40,Southampton,,,,,male
2nd,1,"Phillips, Miss Alice",42,Southampton,"Ilfracombe, Devon",,,12,female
2nd,0,"Phillips, Mr Robert",21,Southampton,"Ilfracombe, Devon",,,,male
2nd,1,"Pinsky, Miss Rosa",32,Southampton,Russia,,,,female
2nd,0,"Ponesell, Mr Martin",34,Southampton,"Denmark / New York, NY",,250647,,male
2nd,1,"Portaluppi, Mr Emilio",NA,Cherbourg,"Milford, NH",,,,male
2nd,0,"Pulbaum, Mr Frank",NA,Cherbourg,Paris,,,,male
2nd,1,"Quick, Mrs Frederick C. (Jane Richards)",33,Southampton,"Plymouth, Devon / Detroit, MI",,,11,female
2nd,1,"Quick, Miss Phyllis May",2,Southampton,"Plymouth, Devon / Detroit, MI",,,11,female
2nd,1,"Quick, Miss Winifred Vera",8,Southampton,"Plymouth, Devon / Detroit, MI",,,11,female
2nd,0,"Reeves, Mr David",36,Southampton,"Brighton, Sussex",,,,male
2nd,0,"Renouf, Mr Peter Henry",34,Southampton,"Elizabeth, NJ",,,,male
2nd,1,"Renouf, Mrs Peter Henry (Lillian Jefferys)",30,Southampton,"Elizabeth, NJ",,,,female
2nd,1,"Reynaldo, Mrs Encarnacion",28,Southampton,Spain,,,,female
2nd,0,"Richard, Mr Emil",23,Cherbourg,"Paris / Montreal, PQ",,,,male
2nd,1,"Richards, Master George Sidney",0.8333,Southampton,"Cornwall / Akron, OH",,,4,male
2nd,1,"Richards, Mrs Sidney (Emily Hocking)",25,Southampton,"Cornwall / Akron, OH",,,4,female
2nd,1,"Richards, Master William Rowe",3,Southampton,"Cornwall / Akron, OH",,,4,male
2nd,1,"Ridsdale, Miss Lucy",50,Southampton,"London, England / Marietta, Ohio and Milwaukee, WI",,,,female
2nd,0,"Rogers, Mr Harry",NA,Southampton,,,,,male
2nd,1,"Rugg, Miss Emily",21,Southampton,"Guernsey / Wilmington, DE",,,12,female
2nd,0,"Sedgwick, Mr Charles Frederick Waddington",NA,Southampton,Liverpool,,,,male
2nd,0,"Sharp, Mr Percival",NA,Southampton,"Hornsey, England",,,,male
2nd,1,"Shelley, Mrs William (Imanita)",25,Southampton,"Deer Lodge, MT",,,12,female
2nd,1,"Silven, Miss Lyyli",18,Southampton,"Finland / Minneapolis, MN",,,,female
2nd,1,"Sincock, Miss Maude",20,Southampton,"Cornwall / Hancock, MI",,,11,female
2nd,1,"Siukonnen, Miss Anna",30,Southampton,"Finland / Washington, DC",,,,female
2nd,0,"Sjostedt, Mr Ernst Adolf",59,Southampton,"Sault St Marie, ON",,,,male
2nd,1,"Slayter, Miss Hilda Mary",30,Queenstown,"Halifax, NS",,,13,female
2nd,0,"Slemen, Mr Richard James",35,Southampton,Cornwall,,,,male
2nd,0,"Smith (Schmidt), Mr Augustus",22,Southampton,"Newark, NJ",,,,male
2nd,1,"Smith, Miss Marion",NA,Southampton,,,,,female
2nd,0,"Sobey, Mr Hayden",25,Southampton,"Cornwall / Houghton, MI",,,,male
2nd,0,"Stanton, Mr Samuel Ward",41,Cherbourg,"New York, NY",,,,male
2nd,0,"Stokes, Mr Philip Joseph",25,Southampton,"Catford, Kent / Detroit, MI",,,-81,male
2nd,0,"Sweet, Mr George",14,Southampton,"Somerset / Bernardsville, NJ",,,,male
2nd,1,"Toomey, Miss Ellen",50,Southampton,"Indianapolis, IN",,,9,female
2nd,0,"Troupiansky, Mr Moses Aaron",22,Southampton,,,,,male
2nd,1,"Trout, Mrs William H. (Jessie L.)",NA,Southampton,"Columbus, OH",,,9,female
2nd,1,"Troutt, Miss Edwina Celia",27,Southampton,"Bath, England / Massachusetts",E-101,34218 L10 10s,16,female
2nd,0,"Turpin, Mr William John",29,Southampton,"Plymouth, England",,,,male
2nd,0,"Turpin, Mrs William John (Dorothy Anne Wonnacott)",27,Southampton,"Plymouth, England",,,,female
2nd,0,"Veale, Mr James",30,Southampton,"Barre, Co Washington, VT",,,,male
2nd,0,"Waelens, Mr Achille",22,Southampton,"Antwerp, Belgium / Stanton, OH",,,-140,male
2nd,1,"Walcroft, Miss Nellie",35,Southampton,"Mamaroneck, NY",,,,female
2nd,0,"Ware, Mr John James",30,Southampton,"Bristol, England / New Britain, CT",,,,male
2nd,1,"Ware, Mrs John James (Florence Louise Long)",28,Southampton,"Bristol, England / New Britain, CT",,,12,female
2nd,0,"Ware, Mr William J.",23,Southampton,,,,,male
2nd,0,"Watson, Mr Ennis Hastings",NA,Southampton,Belfast,,,,male
2nd,1,"Watt, Miss Bertha",12,Southampton,"Aberdeen / Portland, OR",,,9,female
2nd,1,"Watt, Mrs James (Bessie Inglis Milne)",40,Southampton,"Aberdeen / Portland, OR",,,9,female
2nd,1,"Webber, Miss Susan",36,Southampton,"England / Hartford, CT",E-101,,,female
2nd,0,"Weisz, Mr Leopold",28,Southampton,"Bromsgrove, England / Montreal, PQ",,,-293,male
2nd,1,"Weisz, Mrs Leopold (Mathilde)",32,Southampton,"Bromsgrove, England / Montreal, PQ",,,,female
2nd,1,"Wells, Mrs Arthur H. (Addie Trevaskis)",29,Southampton,"Cornwall / Akron, OH",,,,female
2nd,1,"Wells, Miss Joan",4,Southampton,"Cornwall / Akron, OH",,,,female
2nd,1,"Wells, Master Ralph Lester",2,Southampton,"Cornwall / Akron, OH",,,,male
2nd,1,"West, Miss Barbara J.",NA,Southampton,"Bournmouth, England",,,,female
2nd,1,"West, Miss Constance Mirium",NA,Southampton,"Bournmouth, England",,,,female
2nd,0,"West, Mr Edwy Arthur",36,Southampton,"Bournmouth, England",,,,male
2nd,1,"West, Mrs Edwy Arthur (Ada Mary)",33,Southampton,"Bournmouth, England",,,,female
2nd,0,"Wheadon, Mr Edward",NA,Southampton,"Guernsey, England / Edgewood, RI",,,,male
2nd,0,"Wheeler, Mr Edwin",NA,Southampton,,,,,male
2nd,0,"Wheeler, Mr Frederick",NA,,,,,,male
2nd,1,"Wilhelms, Mr Charles",32,Southampton,"London, England",,,9,male
2nd,1,"Wilkinson, Mrs Elizabeth Anne",NA,Southampton,"Manchester, England",,,,female
2nd,1,"Williams, Mr Charles Eugene",NA,Southampton,"Harrow, England",,,14,male
2nd,1,"Wright, Miss Marion",26,Southampton,"Yoevil, England / Cottage Grove, OR",,,9,female
2nd,0,"Yrois, Miss Henriette",NA,Southampton,Paris,,,,female
2nd,0,"Aldworth, Mr Charles Augustus",30,Southampton,"Bryn Mawr, PA, USA",,248744 L13,,male
2nd,1,"Brown, Miss Mildred",24,Southampton,"London / Montreal, PQ",F-33,,11,female
2nd,0,"Pernot, Mr Rene",NA,Cherbourg,,2131,L15 1s,,male
2nd,0,"Swane, Mr George",18,Southampton,,F-?,,-294,male
3rd,0,"Abbing, Mr Anthony",42,Southampton,,,,,male
3rd,0,"Abbott, Master Eugene Joseph",13,Southampton,"East Providence, RI",,,,male
3rd,0,"Abbott, Mr Rossmore Edward",16,Southampton,"East Providence, RI",,,-190,male
3rd,1,"Abbott, Mrs Stanton (Rosa)",35,Southampton,"East Providence, RI",,,A,female
3rd,1,"Abelseth, Miss Anna Karen",16,Southampton,"Norway Los Angeles, CA",,,16,female
3rd,1,"Abelseth, Mr Olaus",25,Southampton,"Perkins County, SD",,,A,male
3rd,1,"Abraham, Mrs Joseph (Sophie Easu)",18,Cherbourg,"Greensburg, PA",,,,female
3rd,1,"Abrahamsson, Mr August",20,Southampton,"Taalintehdas, Finland Hoboken, NJ",,,15,male
3rd,0,"Adahl, Mr Mauritz Nils Martin",30,Southampton,"Asarum, Sweden Brooklyn, NY",,7076,-72,male
3rd,0,"Adams, Mr John",26,Southampton,"Bournemouth, England",,,-103,male
3rd,0,"Ahlin, Mrs Johanna Persdotter",40,Southampton,"Sweden Akeley, MN",,,,female
3rd,0,"Ahmed, Mr Ali",24,Southampton,,,,,male
3rd,0,"Aijo-Nirva, Mr Isak",41,Southampton,"Finland Sudbury, ON",,,,male
3rd,1,"Aks, Mrs Sam (Leah Rosen)",18,Southampton,"London, England Norfolk, VA",,392091,13,female
3rd,1,"Aks, Master Philip",0.8333,Southampton,"London, England Norfolk, VA",,392091,11,male
3rd,0,"Alexander, Mr William",23,Southampton,"England Albion, NY",,,,male
3rd,0,"Alhomaki, Mr Ilmari Rudolf",20,Southampton,"Salo, Finland Astoria, OR",,,,male
3rd,0,"Ali, Mr William",25,Southampton,Argentina,,,-79,male
3rd,0,"Allen, Mr William Henry",35,Southampton,"Lower Clapton, Middlesex or Erdington, Birmingham",,,,male
3rd,0,"Allum, Mr Owen George",17,Southampton,"Windsor, England New York, NY",,,-259,male
3rd,0,"Andersen, Mr Albert Karvin",32,Southampton,"Bergen, Norway",,,-260,male
3rd,0,"Andersen, Mr Thor Olsvigen",20,Southampton,"Oslo, Norway Cameron, WI",,,-89,male
3rd,0,"Andersson, Mr Anders Johan",39,Southampton,"Sweden Winnipeg, MN",,,,male
3rd,0,"Andersson, Mrs Anders Johan (Alfrida K. Brogren)",39,Southampton,"Sweden Winnipeg, MN",,,,female
3rd,0,"Andersson, Miss Ebba Iris",6,Southampton,"Sweden Winnipeg, MN",,,,female
3rd,0,"Andersson, Miss Ellis Anna Maria",2,Southampton,"Sweden Winnipeg, MN",,,,female
3rd,1,"Andersson, Miss Erna",17,Southampton,"Ruotsinphyhtaa, Finland New York, NY",,,,female
3rd,0,"Andersson, Miss Ida Augusta Margareta",38,Southampton,"Vadsbro, Sweden Ministee, MI",,,,female
3rd,0,"Andersson, Miss Ingeborg Constancia",9,Southampton,"Sweden Winnipeg, MN",,,,female
3rd,0,"Andersson, Mr Johan Samuel",26,Southampton,"Hartford, CT",,,,male
3rd,0,"Andersson, Miss Sigrid Elizabeth",11,Southampton,"Sweden Winnipeg, MN",,,,female
3rd,0,"Andersson, Master Sigvard Harald Elias",4,Southampton,"Sweden Winnipeg, MN",,,,male
3rd,0,"Andreasson, Mr Paul Edvin",20,Southampton,"Sweden Chicago, IL",,,,male
3rd,0,"Angheloff, Mr Minko",26,Southampton,"Bulgaria Chicago, IL",,,,male
3rd,0,"Arnold, Mr Josef",25,Southampton,"Altdorf, Switzerland",,,,male
3rd,0,"Arnold, Mrs Josef (Josephine Frank)",18,Southampton,"Altdorf, Switzerland",,,,female
3rd,0,"Aronsson, Mr Ernst Axel Algot",24,Southampton,"Sweden Joliet, IL",,,,male
3rd,0,"Asim, Mr Adola",35,Southampton,,,,,male
3rd,0,"Asplund, Mr Carl Oscar Vilhelm Gustafsson",40,Southampton,"Sweden Worcester, MA",,,-142,male
3rd,1,"Asplund, Mrs Carl Oscar (Selma Augusta Johansson)",38,Southampton,"Sweden Worcester, MA",,,4,female
3rd,0,"Asplund, Master Carl Edgar",5,Southampton,"Sweden Worcester, MA",,,,male
3rd,0,"Asplund, Master Clarence Gustaf Hugo",9,Southampton,"Sweden Worcester, MA",,,,male
3rd,1,"Aspland, Master Edvin Rojj Felix",3,Southampton,"Sweden Worcester, MA",,,4,male
3rd,0,"Asplund, Master Filip Oscar",13,Southampton,"Sweden Worcester, MA",,,,male
3rd,1,"Asplund, Mr John Charles",23,Southampton,"Oskarshamn, Sweden Minneapolis, MN",,,,male
3rd,1,"Asplund, Miss Lillian Gertrud",5,Southampton,"Sweden Worcester, MA",,,4,female
3rd,0,"Assaf, Mr Gerios",NA,Cherbourg,"Ottawa, ON",,,,male
3rd,1,"Assaf, Mrs Mariana",45,Cherbourg,"Ottawa, ON",,,C,female
3rd,0,"Assam, Mr Ali",23,Southampton,,,,,male
3rd,0,"Attalah, Miss Malaka",17,Cherbourg,,,,,female
3rd,0,"Attala (Kalil), Mr Solomon",27,Cherbourg,"Ottawa, ON",,,,male
3rd,0,"Augustsson, Mr Albert",23,Southampton,"Krakoryd, Sweden Bloomington, IL",,,,male
3rd,0,"Baccos, Mr Rafoul",20,Cherbourg,,,,,male
3rd,0,"Backstrom, Mr Karl Alfred",32,Southampton,"Ruotsinphytaa, Finland New York, NY",,,,male
3rd,1,"Backstrom, Mrs Karl Alfred (Maria Mathilda Gustafsson)",33,Southampton,"Ruotsinphytaa, Finland New York, NY",,,,female
3rd,1,"Baclini, Miss Eugenie",3,Cherbourg,"Syria New York, NY",,,,female
3rd,1,"Baclini, Miss Helene",NA,Cherbourg,"Syria New York, NY",,,,female
3rd,1,"Baclini, Miss Maria",NA,Cherbourg,"Syria New York, NY",,,,female
3rd,1,"Baclini, Mrs Solomon (Latifa)",NA,Cherbourg,"Syria New York, NY",,,,female
3rd,1,"Badman, Miss Emily Louisa",18,Southampton,"London Skanteales, NY",,,,female
3rd,0,"Badt, Mr Mohamed",40,Cherbourg,,,,,male
3rd,0,"Balkic, Mr Cerin",26,Southampton,,,,,male
3rd,1,"Banoura, Miss Ayout",15,Cherbourg,"Syria Youngstown, OH",,,,female
3rd,0,"Barbara, Mrs Catherine",45,Cherbourg,"Syria Ottawa, ON",,,,female
3rd,0,"Barbara, Miss Saude",18,Cherbourg,"Syria Ottawa, ON",,,,female
3rd,0,"Barry, Miss Julia",27,Queenstown,"New York, NY",,,,female
3rd,0,Barton Mr David,22,Southampton,"England New York, NY",,,,male
3rd,0,"Beavan, Mr William Thomas",19,Southampton,England,,,,male
3rd,0,"Bengtsson, Mr John Viktor",26,Southampton,"Krakudden, Sweden Moune, IL",,,,male
3rd,0,Berglund. Mr Karl Ivar Sven,22,Southampton,"Tranvik, Finland New York",,,,male
3rd,0,"Betros, Mr Tannous",20,Cherbourg,Syria,,,,male
3rd,1,"Bing, Mr Lee",32,Southampton,"Hong Kong New York, NY",,,,male
3rd,0,"Birkeland, Mr Hans",21,Southampton,"Brennes, Norway New York",,,,male
3rd,0,"Bjorklund, Ernst Herbert",18,Southampton,"Stockholm, Sweden New York",,,,male
3rd,0,"Bostandyeff, Mr Guentcho",26,Southampton,"Bulgaria Chicago, IL",,,,male
3rd,0,"Boulos, Master Akar",6,Cherbourg,"Syria Kent, ON",,,,male
3rd,0,"Boulos, Mr Hanna",NA,Cherbourg,Syria,,,,male
3rd,0,"Boulos, Mrs Joseph (Sultana)",NA,Cherbourg,"Syria Kent, ON",,,,female
3rd,0,"Boulos, Miss Laura",9,Cherbourg,"Syria Kent, ON",,,,female
3rd,0,"Bourke, Mr John",40,Queenstown,"Ireland Chicago, IL",,,,male
3rd,0,"Bourke, Mrs John (Catherine)",32,Queenstown,"Ireland Chicago, IL",,,,female
3rd,0,"Bourke, Miss Mary",NA,Queenstown,"Ireland Chicago, IL",,,,female
3rd,0,"Bowen, Mr David",26,Southampton,"Treherbert, Cardiff, Wales",,,,male
3rd,1,"Bradley, Miss Bridget Delia",18,Queenstown,"Kingwilliamstown, Co Cork, Ireland Glens Falls, NY",,,13,female
3rd,0,"Braf, Miss Elin Ester Maria",20,Southampton,"Medeltorp, Sweden Chicago, IL",,,,female
3rd,0,"Brahim, Mr Youssef",NA,Cherbourg,,,,,male
3rd,0,"Braund, Mr Lewis Richard",29,Southampton,"Bridgerule, Devon",,,,male
3rd,0,"Braund, Mr Owen Harris",22,Southampton,"Bridgerule, Devon",,,,male
3rd,0,"Brobek, Mr Karl Rudolf",22,Southampton,"Sweden Worcester, MA",,,,male
3rd,0,"Brocklebank, Mr William Alfred",35,Southampton,"Broomfield, Chelmsford, England",,,,male
3rd,1,"Buckley, Mr Daniel",21,Queenstown,"Kingwilliamstown, Co Cork, Ireland New York, NY",,,,male
3rd,0,"Buckley, Miss Katherine",20,Queenstown,"Co Cork, Ireland Roxbury, MA",,,-299,female
3rd,0,"Burke, Mr Jeremiah",19,Queenstown,"Co Cork, Ireland Charlestown, MA",,,,male
3rd,0,"Burns, Miss Mary Delia",18,Queenstown,"Co Sligo, Ireland New York, NY",,,,female
3rd,0,"Cacic, Mr Grego",18,Southampton,Croatia,,,,male
3rd,0,"Cacic, Mr Luka",38,Southampton,Croatia,,,,male
3rd,0,"Cacic, Mr Manda",NA,Southampton,Croatia,,,,male
3rd,0,"Cacic, Mr Maria",30,Southampton,Croatia,,,,male
3rd,0,"Calic, Mr Peter",17,Southampton,,,,,male
3rd,0,"Canavan, Miss Mary",21,Queenstown,,,,,female
3rd,0,"Canavan, Mr Patrick",21,Queenstown,"Ireland Philadelphia, PA",,,,male
3rd,0,"Cann, Mr Ernest",21,Southampton,,,,,male
3rd,0,"Caram (Kareem), Mr Joseph",NA,Cherbourg,"Ottawa, ON",,,,male
3rd,0,"Caram (Kareem), Mrs Joseph (Maria Elias)",NA,Cherbourg,"Ottawa, ON",,,,female
3rd,0,"Carlsson, Mr Carl Robert",24,Southampton,"Goteborg, Sweden Huntley, IL",,,,male
3rd,0,"Carlsson, Mr Frans Olof",33,Southampton,"New York, NY",,,,male
3rd,0,"Carlsson, Mr Julius",33,Southampton,,,,,male
3rd,0,"Carlsson, Mr August Sigfrid",28,Southampton,"Dagsas, Sweden Fower, MN",,,,male
3rd,1,"Carr, Miss Helen",16,Queenstown,"Co Longford, Ireland New York, NY",,,,female
3rd,0,"Carr, Miss Jeannie",37,Queenstown,"Co Sligo, Ireland Hartford, CT",,,,female
3rd,0,"Carver, Mr Alfred John",28,Southampton,"St Denys, Southampton, Hants",,,,male
3rd,1,"Cassem, Mr Nassef Belmenly",NA,Cherbourg,"Syria Fredericksburg, VA",,,,male
3rd,0,"Celotti, Mr Francesco",24,Southampton,London,,,,male
3rd,0,"Chartens, Mr David",21,Southampton,"Ireland New York, NY",,,,male
3rd,0,"Chebab, Mr Emir Farres",NA,Cherbourg,,,,,male
3rd,0,"Chip, Mr Chang",32,Southampton,"Hong Kong New York, NY",,,,male
3rd,0,"Christmann, Mr Emil",29,Southampton,,,,,male
3rd,0,"Chronopoulos, Mr Apostolos",26,Cherbourg,Greece,,,,male
3rd,0,"Chronopoulos, Mr Demetrios",18,Cherbourg,Greece,,,,male
3rd,0,"Coelho, Mr Domingos Fernandes",20,Southampton,Portugal,,,,male
3rd,1,"Cohen, Mr Gurshon (Gus)",19,Southampton,"London Brooklyn, NY",,,,male
3rd,0,"Colbert, Mr Patrick",24,Queenstown,"Co Limerick, Ireland Sherbrooke, PQ",,,,male
3rd,0,"Coleff, Mr Fotio",24,Southampton,,,,,male
3rd,0,"Coleff, Mr Peyo",36,Southampton,"Bulgaria Chicago, IL",,,,male
3rd,0,"Conlin, Mr Thomas Henry",31,Queenstown,"Philadelphia, PA",,,,male
3rd,0,"Connaghton, Mr Michael",31,Queenstown,"Ireland Brooklyn, NY",,,,male
3rd,0,"Connolly, Miss Kate",30,Queenstown,Ireland,,,,female
3rd,1,"Connolly, Miss Kate",22,Queenstown,Ireland,,,,female
3rd,0,"Connors, Mr Patrick",NA,Queenstown,,,,-171,male
3rd,0,"Cook, Mr Jacob",43,Southampton,,,,,male
3rd,0,"Cor, Mr Bartol",35,Southampton,Austria,,,,male
3rd,0,"Cor, Mr Ivan",27,Southampton,Austria,,,,male
3rd,0,"Cor, Mr Ludovik",19,Southampton,Austria,,,,male
3rd,0,"Corn, Mr Harry",30,Southampton,London,,,,male
3rd,1,"Coutts, Mrs William (Minnie)",36,Southampton,"England Brooklyn, NY",,,2,female
3rd,1,"Coutts, Master Neville",3,Southampton,"England Brooklyn, NY",,,2,male
3rd,1,"Coutts, Master William Leslie",9,Southampton,"England Brooklyn, NY",,,2,male
3rd,0,"Coxon, Mr Daniel",59,Southampton,"Merrill, WI",,,,male
3rd,0,"Crease, Mr Ernest James",19,Southampton,"Bristol, England Cleveland, OH",,,,male
3rd,0,"Cribb, Mr John Hatfield",44,Southampton,"Bournemouth, England Newark, NJ",,,,male
3rd,1,"Cribb, Miss Laura Alice",17,Southampton,"Bournemouth, England Newark, NJ",,,,female
3rd,0,"Daher, Mr Tannous",NA,Cherbourg,,,,,male
3rd,1,"Dahl, Mr Charles Edward",45,Southampton,"Australia Fingal, ND",,,15,male
3rd,0,"Dahlberg, Miss Gerda Ulrika",22,Southampton,"Norrlot, Sweden Chicago, IL",,,,female
3rd,0,"Dakic, Mr Branko",19,Southampton,Austria,,,,male
3rd,1,"Daly, Mr Eugene",29,Queenstown,"Co Athlone, Ireland New York, NY",,,B,male
3rd,1,"Daly, Miss Marcella",30,Queenstown,"Co Athlone, Ireland New York, NY",,,,female
3rd,0,"Danbom, Mr Ernst Gilbert",34,Southampton,"Stanton, IA",,,,male
3rd,0,"Danbom, Mrs Ernst Gilbert (Anna Sigrid Maria Brogren)",28,Southampton,"Stanton, IA",,,,female
3rd,0,"Danbom, Master Gilbert Sigvard Emanuel",0.3333,Southampton,"Stanton, IA",,,,male
3rd,0,"Danoff, Mr Yoto",27,Southampton,"Bulgaria Chicago, IL",,,,male
3rd,0,"Dantchoff, Mr Khristo",25,Southampton,"Bulgaria Chicago, IL",,,,male
3rd,0,"Davies, Mr Alfred",24,Southampton,"West Bromwich, England Pontiac, MI",,,,male
3rd,0,"Davies, Mr Evan",22,Southampton,,,,,male
3rd,0,"Davies, Mr John",21,Southampton,"West Bromwich, England Pontiac, MI",,,,male
3rd,0,"Davies, Mr Joseph",17,Southampton,"West Bromwich, England Pontiac, MI",,,,male
3rd,0,"Davison, Mr Thomas Henry",NA,Southampton,"Liverpool, England Bedford, OH",,,,male
3rd,1,"Davison, Mrs Thomas Henry (Mary Finck)",NA,Southampton,"Liverpool, England Bedford, OH",,,,female
3rd,0,"Dean, Mr Bertram",26,Southampton,"Devon, England Wichita, KS",,,,male
3rd,1,"Dean, Mrs Bertram (Eva)",33,Southampton,"Devon, England Wichita, KS",,,12,female
3rd,1,"Dean, Master Bertram Vere",1,Southampton,"Devon, England Wichita, KS",,,12,male
3rd,1,"Dean, Miss Elizabeth Gladys (Millvena)",0.1667,Southampton,"Devon, England Wichita, KS",,,12,female
3rd,0,"Delalic, Mr Regyo",25,Southampton,,,,,male
3rd,1,"De Messemaeker, Mr William Joseph",36,Southampton,"Tampico, MT",,,15,male
3rd,1,"De Messemaeker, Mrs William Joseph (Anna)",36,Southampton,"Tampico, MT",,,13,female
3rd,1,"De Mulder, Mr Theo",30,Southampton,"Belgium Detroit, MI",,,,male
3rd,0,"Denkoff, Mr Mito",NA,Southampton,"Bulgaria Coon Rapids, IA",,,,male
3rd,0,"Dennis, Mr Samuel",23,Southampton,,,,,male
3rd,0,"Dennis, Mr William",26,Southampton,,,,,male
3rd,1,"Devaney, Miss Margaret",19,Queenstown,"Kilmacowen, Co Sligo, Ireland New York, NY",,,C,female
3rd,0,"Dewan, Mr Frank",65,Queenstown,,,,,male
3rd,0,"Dibo, Mr Elias",NA,Cherbourg,,,,,male
3rd,0,"Dimic, Mr Jovan",42,Southampton,,,,,male
3rd,0,"Dintcheff, Mr Valtcho",43,Southampton,,,,,male
3rd,0,"Dooley, Mr Patrick",32,Queenstown,"Ireland New York, NY",,,,male
3rd,1,"Dorkings, Mr Edward Arthur",19,Southampton,"England Oglesby, IL",,,B,male
3rd,1,"Dowdell, Miss Elizabeth",30,Southampton,"Union Hill, NJ",,,13,female
3rd,0,"Doyle, Miss Elizabeth",24,Queenstown,"Ireland New York, NY",,,,female
3rd,1,"Drapkin, Miss Jennie",23,Southampton,"London New York, NY",,,,female
3rd,0,"Drazonovic, Mr Josef",NA,Cherbourg,"Austria Niagara Falls, NY",,,,male
3rd,1,"Driscoll, Miss Bridget",24,Queenstown,"Ballydehob, Co Cork, Ireland New York, NY",,,,female
3rd,1,"Duquemin, Mr Joseph",24,Southampton,"England Albion, NY",,,D,male
3rd,0,"Dyker, Mr Adolf Fredrik",23,Southampton,"West Haven, CT",,,,male
3rd,1,"Dyker, Mrs Adolf Fredrik (Anna Elizabeth Judith Andersson)",22,Southampton,"West Haven, CT",,,,female
3rd,0,"Econovic, Mr Joso",NA,Southampton,Austria-Hungary,,,,male
3rd,0,"Edvardsson, Mr Gustaf Hjalmar",18,Southampton,"Tofta, Sweden Joliet, IL",,,,male
3rd,0,"Eklund, Mr Hans Linus",16,Southampton,"Karberg, Sweden Jerome Junction, AZ",,,,male
3rd,0,"Ekstrom, Mr Johan",45,Southampton,"Effington Rut, SD",,,,male
3rd,0,"Elias, Mr Elias",NA,Cherbourg,Syria,,,,male
3rd,0,"Elias, Mr John",NA,Cherbourg,Syria,,,,male
3rd,0,"Elias, Mr Joseph",NA,Cherbourg,"Syria Ottawa, ON",,,,male
3rd,0,"Elsbury, Mr James",47,Southampton,"Illinois, USA",,,,male
3rd,1,"Emanuel, Miss Virginia Ethel",5,Southampton,"New York, NY",,,13,female
3rd,0,"Emmeth, Mr Thomas",NA,Southampton,,,,,male
3rd,0,"Everett, Thomas James",NA,Southampton,,,,,male
3rd,0,"Farrell, Mr James",NA,Queenstown,"Aughnacliff, Co Longford, Ireland New York, NY",,,,male
3rd,1,"Finoli, Mr Luigi",NA,Southampton,"Italy Philadelphia, PA",,,,male
3rd,0,"Fischer, Mr Eberhard Telander",NA,Southampton,,,,,male
3rd,0,"Flynn, Mr James",NA,Queenstown,,,,,male
3rd,0,"Flynn, Mr John",NA,Queenstown,,,,,male
3rd,0,"Foley, Mr Joseph",NA,Queenstown,"Ireland Chicago, IL",,,,male
3rd,0,"Foley, Mr William",NA,Queenstown,Ireland,,,,male
3rd,1,"Foo, Mr Choong",NA,Southampton,"Hong Kong New York, NY",,,,male
3rd,0,"Ford, Mr Arthur",NA,Southampton,"Bridgwater, Somerset, England",,,,male
3rd,0,"Ford, Miss Doolina Margaret",21,Southampton,"Rotherfield, Sussex, England Essex Co, MA",,,,female
3rd,0,"Ford, Mr Edward Watson",18,Southampton,"Rotherfield, Sussex, England Essex Co, MA",,,,male
3rd,0,"Ford, Miss Maggie",9,Southampton,"Rotherfield, Sussex, England Essex Co, MA",,,,female
3rd,0,"Ford, Mrs Edward (Margaret Ann)",48,Southampton,"Rotherfield, Sussex, England Essex Co, MA",,,,female
3rd,0,"Ford, Mr Neil Watson",16,Southampton,"Rotherfield, Sussex, England Essex Co, MA",,,,male
3rd,0,"Fox, Mr Patrick",NA,Queenstown,"Ireland New York, NY",,,,male
3rd,0,"Franklin, Mr Charles",NA,Southampton,,,,,male
3rd,0,"Gallagher, Mr Martin",25,Queenstown,"New York, NY",,,,male
3rd,0,"Garfirth, Mr John",NA,Southampton,,,,,male
3rd,1,"Georges, Mrs Shahini Weappi",NA,Cherbourg,"Youngstown, OH",,,,female
3rd,0,"Gilinski, Mr Leslie",22,Southampton,,,,,male
3rd,1,"Gilnagh, Miss Katie",16,Queenstown,"Co Longford, Ireland New York, NY",,,,female
3rd,1,"Glynn, Miss Mary Agatha",NA,Queenstown,"Co Clare, Ireland Washington, DC",,,13,female
3rd,0,"Goldsmith, Mr Frank John",33,Southampton,"Strood, Kent, England Detroit, MI",,,,male
3rd,1,"Goldsmith, Mrs Frank John (Emily A. Brown)",NA,Southampton,"Strood, Kent, England Detroit, MI",,,C,female
3rd,1,"Goldsmith, Master Frank John William",9,Southampton,"Strood, Kent, England Detroit, MI",,,C,male
3rd,0,"Goldsmith, Mr Nathan",41,Southampton,"Philadelphia, PA",,,,male
3rd,0,"Goncalves, Mr Manuel Estanslas",38,Southampton,Portugal,,,,male
3rd,0,"Goodwin, Mr Frederick",40,Southampton,"Wiltshire, England Niagara Falls, NY",,,,male
3rd,0,"Goodwin, Mrs Frederick (Augusta)",43,Southampton,"Wiltshire, England Niagara Falls, NY",,,,female
3rd,0,"Goodwin, Mr Charles E.",14,Southampton,"Wiltshire, England Niagara Falls, NY",,,,male
3rd,0,"Goodwin, Miss Lillian A.",16,Southampton,"Wiltshire, England Niagara Falls, NY",,,,female
3rd,0,"Goodwin, Master Harold V.",9,Southampton,"Wiltshire, England Niagara Falls, NY",,,,male
3rd,0,"Goodwin, Miss Jessie A.",10,Southampton,"Wiltshire, England Niagara Falls, NY",,,,female
3rd,0,"Goodwin, Master Sidney L.",6,Southampton,"Wiltshire, England Niagara Falls, NY",,,,male
3rd,0,"Goodwin, Master William F.",11,Southampton,"Wiltshire, England Niagara Falls, NY",,,,male
3rd,0,"Green, Mr George",40,Southampton,"Dorking, Surrey, England",,,,male
3rd,0,"Gronnestad, Mr Daniel Danielsen",32,Southampton,"Foresvik, Norway Portland, ND",,,,male
3rd,0,"Guest, Mr Robert",NA,Southampton,,,,,male
3rd,0,"Gustafsson, Mr Alfred Ossian",20,Southampton,"Waukegan, Chicago, IL",,,,male
3rd,0,"Gustafsson, Mr Anders Vilhelm",37,Southampton,"Ruotsinphytaa, Finland New York, NY",,,,male
3rd,0,"Gustafsson, Mr Johan Birger",28,Southampton,"Ruotsinphytaa, Finland New York, NY",,,,male
3rd,0,"Gustafsson, Mr Karl Gideon",19,Southampton,"Myren, Sweden New York, NY",,,,male
3rd,0,"Haas, Miss Aloisia",NA,,,,,,female
3rd,0,"Hagardon, Miss Kate",NA,,,,,,female
3rd,0,"Hagland, Mr Ingvald Olsen",NA,,,,,,male
3rd,0,"Hagland, Mr Konrad Mathias Reiersen",NA,,,,,,male
3rd,0,"Hakkarainen, Mr Pekko Pietari",NA,,,,,,male
3rd,1,"Hakkarainen, Mrs Pekko Pietari",NA,,,,,,female
3rd,0,"Hampe, Mr Leon",NA,,,,,,male
3rd,0,"Hansen, Mr Claus Peter",NA,,,,,,male
3rd,1,"Hansen, Mrs Claus Peter",NA,,,,,,female
3rd,0,"Hansen, Mr Henrik Juul",NA,,,,,,male
3rd,0,"Hansen, Mr Henry Damsgaard",NA,,,,,,male
3rd,0,"Harknett, Miss Alice",NA,,,,,,female
3rd,0,"Harmer, Mr Abraham",NA,,,,,,male
3rd,0,"Hart, Mr Henry",NA,,,,,,male
3rd,0,"Hassan, Mr M. Houssein",NA,,,,,,male
3rd,0,"Healy, Miss Nora",NA,,,,,,female
3rd,1,"Hedman, Mr Oscar",NA,,,,,,male
3rd,0,"Hee, Mr Ling",NA,,,,,,male
3rd,0,"Hegarty, Miss Nora",NA,,,,,,female
3rd,1,"Heikkinen, Miss Laina",NA,,,,,,female
3rd,0,"Heininen, Miss Wendla Maria",NA,,,,,,female
3rd,1,"Hellstrom, Hilda Maria",NA,,,,,,female
3rd,0,"Hemming, Miss Nora",NA,,,,,,female
3rd,0,"Hendekovic, Mr Ignaz",NA,,,,,,male
3rd,0,"Henery, Delia",NA,,,,,,female
3rd,0,"Henriksson, Jenny Lovisa",NA,,,,,,female
3rd,1,"Hirvonen, Mrs Alexander",NA,,,,,,female
3rd,0,"Hirvonen, Miss Hildur E.",NA,,,,,,female
3rd,0,"Holm, Mr John Frederik Alexander",NA,,,,,,male
3rd,0,"Holthen, Mr Johan Martin",NA,,,,,,male
3rd,1,"Honkanen, Miss Eluna",NA,,,,,,female
3rd,0,"Horgan, Mr John",NA,,,,,,male
3rd,1,"Howard, Miss May",NA,,,,,,female
3rd,0,"Humblin, Mr Adolf Mathias Nicolai Olsen",NA,,,,,,male
3rd,1,"Hyman, Mr Abraham",NA,,,,,,male
3rd,0,"Ilieff, Mr Ylio",NA,,,,,,male
3rd,0,"Ilmakangas, Miss Ida Livija",NA,,,,,,female
3rd,0,"Ilmakangas, Miss Pieta Sofia",NA,,,,,,female
3rd,0,"Ivanoff, Mr Konio",NA,,,,,,male
3rd,1,"Jansen, Mr Carl Olof",NA,,,,,,male
3rd,0,"Jardin, Mr Jose Netto",NA,,,,,,male
3rd,1,"Jensen, Miss Carla Christine",NA,,,,,,female
3rd,0,"Jensen, Mr Hans Peder",NA,,,,,,male
3rd,0,"Jensen, Mr Niels Peder",NA,,,,,,male
3rd,0,"Jensen, Mr Svend Lauritz",NA,,,,,,male
3rd,1,"Jermyn, Miss Annie",NA,,,,,,female
3rd,0,"Johannesen-Bratthammer, Mr Bernt",NA,,,,,,male
3rd,0,"Johanson, Mr Jakob Alfred",NA,,,,,,male
3rd,0,"Johansson, Mr Erik",NA,,,,,,male
3rd,0,"Johansson, Mr Gustaff Joel",NA,,,,,,male
3rd,1,"Johansson, Mr Karl Johan",NA,,,,,,male
3rd,0,"Johansson, Mr Nils",NA,,,,,,male
3rd,1,"Johansson, Oscar L.",NA,,,,,,male
3rd,0,"Johnson, Mr Alfred",NA,,,,,,male
3rd,1,"Johnson, Miss Eleanor Ileen",NA,,,,,,female
3rd,0,"Johnson, Mr Malkolm Joackim",NA,,,,,,male
3rd,1,"Johnson, Master Harold Theodor",NA,,,,,,male
3rd,0,"Johnson, Mrs Oscar W.",NA,,,,,,female
3rd,0,"Johnson, Mr William Cahoone Jr.",NA,,,,,,male
3rd,0,"Johnston, Mr Andrew G.",NA,,,,,,male
3rd,0,"Johnston, Mrs Andrew G.",NA,,,,,,female
3rd,0,"Johnston, Miss Catherine H.",NA,,,,,,female
3rd,0,"Johnston, Master William A.",NA,,,,,,male
3rd,0,"Jonkoff, Mr Lazor",NA,,,,,,male
3rd,1,"Jonsson, Mr Carl",NA,,,,,,male
3rd,0,"Jonsson, Nils Hilding",NA,,,,,,male
3rd,0,"Jussila, Miss Aina Maria",NA,,,,,,female
3rd,1,"Jussila, Mr Erik",NA,,,,,,male
3rd,0,"Jussila, Miss Katriina",NA,,,,,,female
3rd,0,"Kallio, Mr Nikolai Erland",NA,,,,,,male
3rd,0,"Kalvig, Mr Johannes K. Halverson",NA,,,,,,male
3rd,0,"Karajic, Mr Milan",NA,,,,,,male
3rd,1,"Karlsson, Mr Einar Gervasius",NA,,,,,,male
3rd,0,"Karlsson, Mr Julius Konrad Eugen",NA,,,,,,male
3rd,0,"Karlsson, Mr Nils August",NA,,,,,,male
3rd,1,"Karun, Miss Anna Mary",NA,,,,,,female
3rd,0,"Karun, Mr Franz",NA,,,,,,male
3rd,0,"Kassem, Mr Fared",NA,,,,,,male
3rd,0,"Keane, Mr Andrew",NA,,,,,,male
3rd,0,"Keefe, Mr Arthur",NA,,,,,,male
3rd,0,"Kekic, Mr Tido",NA,,,,,,male
3rd,1,"Kelly, Miss Anna Kate",NA,,,,,,female
3rd,0,"Kelly, Mr James",NA,,,,,,male
3rd,0,"Kelly, Mr James",NA,,,,,,male
3rd,1,"Kelly, Miss Mary",NA,,,,,,female
3rd,0,"Kennedy, Mr John",NA,,,,,,male
3rd,0,"Khalil, Mr Betros",NA,,,,,,male
3rd,0,"Khalil, Mrs Betros",NA,,,,,,female
3rd,0,"Khalil, Mr Saad",NA,,,,,,male
3rd,0,"Kiernan, Mr John",NA,,,,,,male
3rd,0,"Kiernan, Mr Philip",NA,,,,,,male
3rd,0,"Kilgannon, Mr Thomas",NA,,,,,,male
3rd,1,"Kink, Mr Anton",NA,,,,,,male
3rd,0,"Kink, Mrs Anton (Louise Heilmann)",NA,,,,,,female
3rd,1,"Kink, Miss Louise Gretchen",NA,,,,,,female
3rd,0,"Kink, Miss Maria",NA,,,,,,female
3rd,0,"Kink, Mr Vincenz",NA,,,,,,male
3rd,0,"Klasen, Miss Gertrud Emilia",NA,,,,,,female
3rd,0,"Klasen, Mrs Hulda Kristina",NA,,,,,,female
3rd,0,"Klasen, Mr Klas Albin",NA,,,,,,male
3rd,0,"Kraeff, Mr Theodor",NA,,,,,,male
3rd,1,"Krekorian, Mr Neshan",NA,,,,,,male
3rd,0,"Lahowd, Mr Sarkis",NA,,,,,,male
3rd,0,"Laitinen, Miss Kritina Sofia",NA,,,,,,female
3rd,0,"Laleff, Mr Kristo",NA,,,,,,male
3rd,1,"Lam, Mr Ali",NA,,,,,,male
3rd,0,"Lam, Mr Len",NA,,,,,,male
3rd,1,"Landegren, Miss Aurora Adelia",NA,,,,,,female
3rd,0,"Lane, Mr Patrick",NA,,,,,,male
3rd,1,"Lang, Mr Fang",NA,,,,,,male
3rd,0,"Larsson, Mr August Viktor",NA,,,,,,male
3rd,0,"Larsson, Mr Bengt Edvin",NA,,,,,,male
3rd,0,"Larsson-Rondberg, Mr Edvard",NA,,,,,,male
3rd,1,"Leeni, Mr Fahim",NA,,,,,,male
3rd,0,"Lefebre, Mrs Frank",NA,,,,,,female
3rd,0,"Lefebre, Master Henry",NA,,,,,,male
3rd,0,"Lefebre, Miss Ida",NA,,,,,,female
3rd,0,"Lefebre, Miss Jeannie",NA,,,,,,female
3rd,0,"Lefebre, Miss Mathilde",NA,,,,,,female
3rd,0,"Leinonen, Mr Antti Gustaf",NA,,,,,,male
3rd,0,"Lemberopolous, Mr Peter L.",NA,,,,,,male
3rd,0,"Lemom, Mr Denis",NA,,,,,,male
3rd,0,"Lemon, Miss Mary",NA,,,,,,female
3rd,0,"Leonard, Mr Lionel",NA,,,,,,male
3rd,0,"Lester, Mr James",NA,,,,,,male
3rd,0,"Lindahl, Miss Agda V.",NA,,,,,,female
3rd,0,"Lindblom, Miss Augusta Charlotta",NA,,,,,,female
3rd,0,"Lindell, Mr Edvard Bengtsson",NA,,,,,,male
3rd,0,"Lindell, Mrs Edvard Bengtsson",NA,,,,,,female
3rd,1,"Lindqvist, Eino William",NA,,,,,,male
3rd,0,"Linehan, Mr Michael",NA,,,,,,male
3rd,0,"Ling, Mr Lee",NA,,,,,,male
3rd,0,"Lithman, Mr Simon",NA,,,,,,male
3rd,0,"Lobb, Mr William Arthur",NA,,,,,,male
3rd,0,"Lobb, Mrs William Arthur",NA,,,,,,female
3rd,0,"Lockyer, Mr Edward",NA,,,,,,male
3rd,0,"Lovell, Mr John",NA,,,,,,male
3rd,1,"Lulich, Mr Nicola",NA,,,,,,male
3rd,0,"Lundahl, Mr Johan",NA,,,,,,male
3rd,1,"Lundin, Miss Olga Elida",NA,,,,,,female
3rd,0,"Lundstrom, Mr Thure Edvin",NA,,,,,,male
3rd,0,"Lyntakoff, Mr Stanko",NA,,,,,,male
3rd,0,"MacKay, Mr George William",NA,,,,,,male
3rd,1,"Madigan, Miss Margaret",NA,,,,,,female
3rd,0,"Madsen, Mr Frithiof",NA,,,,,,male
3rd,0,"Maenpaa, Mr Matti Alexanteri",NA,,,,,,male
3rd,0,"Mahon, Miss Delia",NA,,,,,,female
3rd,0,"Maisner, Mr Simon",NA,,,,,,male
3rd,0,"Makinen, Mr Kalle Edvard",NA,,,,,,male
3rd,1,"Mamee, Mr Hanna",NA,,,,,,male
3rd,0,"Mangan, Miss Mary",NA,,,,,,female
3rd,1,"Mannion, Miss Margareth",NA,,,,,,female
3rd,0,"Mansour, Mr Hanna",NA,,,,,,male
3rd,0,"Mardirosian, Mr Sarkis",NA,,,,,,male
3rd,0,"Marinko, Mr Dmitri",NA,,,,,,male
3rd,0,"Markim, Mr Johann",NA,,,,,,male
3rd,0,"Markoff, Mr Marin",NA,,,,,,male
3rd,1,"Masselmany, Mrs Fatima",NA,,,,,,female
3rd,0,"Matinoff, Mr Nicola",NA,,,,,,male
3rd,1,"McCarthy, Miss Katie",NA,,,,,,female
3rd,0,"McCormack, Mr Thomas J.",NA,,,,,,male
3rd,0,"McCoy, Miss Agnes",NA,,,,,,female
3rd,0,"McCoy, Miss Alice",NA,,,,,,female
3rd,0,"McCoy, Mr Bernard",NA,,,,,,male
3rd,0,"McDermott, Miss Delia",NA,,,,,,female
3rd,0,"McElroy, Mr Michael",NA,,,,,,male
3rd,1,"McGovern, Mrs Hugh",NA,,,,,,female
3rd,0,"McGowan, Miss Anna",NA,,,,,,female
3rd,0,"McGowan, Miss Katherine",NA,,,,,,female
3rd,0,"McMahon, Mr Martin",NA,,,,,,male
3rd,0,"McNamee, Mr Neal",NA,,,,,,male
3rd,0,"McNamee, Mrs Neal",NA,,,,,,female
3rd,0,"Meanwell, Miss Marion Ogden",NA,,,,,,female
3rd,0,"Mechen, Mr John",NA,,,,,,male
3rd,0,"Meek, Mrs Thomas",NA,,,,,,female
3rd,0,"Melkebuk, Mrs Philemon",NA,,,,,,female
3rd,0,"Meo, Mr Alfonso",NA,,,,,,male
3rd,1,"Midtsjo, Mr Karl Albert",NA,,,,,,male
3rd,0,"Mihoff, Mr Stoytcho",NA,,,,,,male
3rd,0,"Miles, Mr Frank",NA,,,,,,male
3rd,0,"Mineff, Mr Ivan",NA,,,,,,male
3rd,0,"Minkoff, Mr Lazar",NA,,,,,,male
3rd,0,"Mirko, Mr Dika",NA,,,,,,male
3rd,0,"Mitkoff, Mr Mito",NA,,,,,,male
3rd,1,"Mocklare, Miss Helen Mary",NA,,,,,,female
3rd,0,"Moen, Mr Sigurd H.",NA,,,,,,male
3rd,1,"Moor, Mrs Beila",NA,,,,,,female
3rd,0,"Moor, Master Meier",NA,,,,,,male
3rd,0,"Moore, Mr Leonard Charles",NA,,,,,,male
3rd,1,"Moran, Miss Bertha",NA,,,,,,female
3rd,0,"Moran, Mr Daniel J.",NA,,,,,,male
3rd,0,"Moran, Mr James",NA,,,,,,male
3rd,0,"Morley, Mr Henry Samuel",NA,,,,,,male
3rd,0,"Morrow, Mr Thomas Rowan",NA,,,,,,male
3rd,1,"Moubarek (Borak), Mr Hanna (John)",NA,,,,,,male
3rd,0,"Moubarek, Mrs George",NA,,,,,,female
3rd,0,"Moubarek, Master George",NA,,,,,,male
3rd,0,"Moubarek, Master William George",NA,,,,,,male
3rd,0,"Moss, Albert Johan",NA,,,,,,male
3rd,0,"Moussa, Mrs Mantoura Baloics",NA,,,,,,female
3rd,0,"Moutal, Mr Rahamin",NA,,,,,,male
3rd,1,"Mullins, Miss Katie",NA,,,,,,female
3rd,0,"Mulvihill, Miss Bertha E.",NA,,,,,,female
3rd,0,"Murdlin, Mr Joseph",NA,,,,,,male
3rd,0,"Murphy, Miss Katherine",NA,,,,,,female
3rd,0,"Murphy, Miss Margaret",NA,,,,,,female
3rd,0,"Murphy, Miss Nora",NA,,,,,,female
3rd,0,"Myhrman, Mr Pehr Fabian Oliver Malkolm",NA,,,,,,male
3rd,1,"Nackid, Miss Maria",NA,,,,,,female
3rd,0,"Nackid, Mr Said",NA,,,,,,male
3rd,0,"Nackid, Mrs Said",NA,,,,,,female
3rd,0,"Nahill, Mr Toufik",NA,,,,,,male
3rd,0,"Naidenoff, Mr Penko",NA,,,,,,male
3rd,0,"Nancarrow, W. H.",NA,,,,,,male
3rd,0,"Niklasen, Sander",NA,,,,,,male
3rd,0,"Nosworthy, Richard C.",NA,,,,,,male
3rd,1,"Najib, Miss Adele Kiamie",NA,,,,,,female
3rd,0,"Nancarrow, Mr William Henry",NA,,,,,,male
3rd,0,"Nankoff, Mr Minko",NA,,,,,,male
3rd,0,"Nasr, Mr Mustafa",NA,,,,,,male
3rd,0,"Nassr, Mr Saade Jean",NA,,,,,,male
3rd,0,"Naughton, Miss Hannah",NA,,,,,,female
3rd,0,"Nemaugh, Mr Robert",NA,,,,,,male
3rd,0,"Nenkoff, Mr Christo",NA,,,,,,male
3rd,1,"Nicola-Yarred, Miss Jamila",NA,,,,,,female
3rd,0,"Nicola-Yarred, Master Elias",NA,,,,,,male
3rd,0,"Nieminen, Miss Manta Josefina",NA,,,,,,female
3rd,0,"Niklasson, Mr Samuel",NA,,,,,,male
3rd,0,"Nilsson, Mr August Ferdinand",NA,,,,,,male
3rd,1,"Nilsson, Miss Berta Olivia",NA,,,,,,female
3rd,0,"Nilsson, Miss Helmina Josefina",NA,,,,,,female
3rd,0,"Niskanen, Mr Johan",NA,,,,,,male
3rd,0,"Nosworthy, Mr Richard Cater",NA,,,,,,male
3rd,1,"Novel, Mansouer",NA,,,,,,male
3rd,0,"Nysten, Miss Anna",NA,,,,,,female
3rd,0,"Nysveen, Mr Johan H.",NA,,,,,,male
3rd,0,"O'Brien, Mr Denis",NA,,,,,,male
3rd,0,"O'Brien, Mr Thomas",NA,,,,,,male
3rd,1,"O'Brien, Mrs Thomas",NA,,,,,,female
3rd,0,"O'Connell, Mr Patrick D.",NA,,,,,,male
3rd,0,"O'Connor, Mr Maurice",NA,,,,,,male
3rd,0,"O'Connor, Mr Patrick",NA,,,,,,male
3rd,1,"Odahl, Mr Nils Martin",NA,,,,,,male
3rd,0,"O'Dwyer, Miss Nellie",NA,,,,,,female
3rd,0,"Ohman, Miss Velin",NA,,,,,,female
3rd,0,"O'Keefe, Mr Patrick",NA,,,,,,male
3rd,0,"OLeary, Miss Norah",NA,,,,,,female
3rd,0,"Olsen, Master Arthur",NA,,,,,,male
3rd,0,"Olsen, Mr Charlie (Carl)",NA,,,,,,male
3rd,0,"Olsen, Mr Henry Margido",NA,,,,,,male
3rd,0,"Olsen, Mr Ole M.",NA,,,,,,male
3rd,0,"Olsson, Miss Elida",NA,,,,,,female
3rd,0,"Olsson, Mr Nils Johan",NA,,,,,,male
3rd,1,"Olsson, Mr Oscar Johansson",NA,,,,,,male
3rd,0,"O'Neill, Miss Bridget",NA,,,,,,female
3rd,0,"Oreskovic, Mr Jeko",NA,,,,,,male
3rd,0,"Oreskovic, Mr Luka",NA,,,,,,male
3rd,0,"Oreskovic, Mr Maria",NA,,,,,,male
3rd,0,"Osen, Mr Olof Elon",NA,,,,,,male
3rd,1,"Osman, Miss Maria",NA,,,,,,female
3rd,0,"O'Sullivan, Miss Bridget",NA,,,,,,female
3rd,0,"Panula, Mr Ernesti Arvid",NA,,,,,,male
3rd,0,"Panula, Mr Jaako Arnold",NA,,,,,,male
3rd,0,"Panula, Master Juha Niilo",NA,,,,,,male
3rd,0,"Panula, Mrs John",NA,,,,,,female
3rd,0,"Panula, Master Urho Abraham",NA,,,,,,male
3rd,0,"Panula, Master William",NA,,,,,,male
3rd,0,"Pasic, Mr Jakob",NA,,,,,,male
3rd,0,"Paulner, Mr Uscher",NA,,,,,,male
3rd,0,"Paulsson, Master Gosta Leonard",NA,,,,,,male
3rd,0,"Paulsson, Mrs Nils",NA,,,,,,female
3rd,0,"Paulsson, Master Paul Folke",NA,,,,,,male
3rd,0,"Paulsson, Miss Stina Viola",NA,,,,,,female
3rd,0,"Paulsson, Miss Torborg Danira",NA,,,,,,female
3rd,0,"Pavlovic, Mr Stefo",NA,,,,,,male
3rd,0,"Peacock, Master Alfred Edward",NA,,,,,,male
3rd,0,"Peacock, Mrs Benjamin",NA,,,,,,female
3rd,0,"Peacock, Miss Treasteall",NA,,,,,,female
3rd,0,"Pearce, Mr Ernest",NA,,,,,,male
3rd,0,"Pecruic, Mr Mate",NA,,,,,,male
3rd,0,"Pecruic, Mr Tome",NA,,,,,,male
3rd,0,"Pedersen, Mr Olaf",NA,,,,,,male
3rd,0,"Peduzzi, Mr Joseph",NA,,,,,,male
3rd,1,"Pekoniemi, Mr Edvard",NA,,,,,,male
3rd,0,"Peltomaki, Nikolai Johannes",NA,,,,,,male
3rd,0,"Perkin, Mr John Henry",NA,,,,,,male
3rd,1,"Persson, Mr Ernst Ulrik",NA,,,,,,male
3rd,0,"Peter (Joseph), Miss Mary",NA,,,,,,female
3rd,0,"Peter (Joseph), Mrs Catherine",NA,,,,,,female
3rd,0,"Peter (Joseph), Master Michael J.",NA,,,,,,male
3rd,0,"Peters, Miss Katie",NA,,,,,,female
3rd,0,"Petersen, Mr Marius",NA,,,,,,male
3rd,0,"Petranec, Miss Matilda",NA,,,,,,female
3rd,0,"Petroff, Mr Nedeca",NA,,,,,,male
3rd,0,"Petroff, Mr Pentcho",NA,,,,,,male
3rd,0,"Pettersson, Miss Ellen Natalia",NA,,,,,,female
3rd,0,"Peterson, Mr Johan Emil",NA,,,,,,male
3rd,1,"Pickard (Trembisky), Mr Berk",NA,,,,,,male
3rd,0,"Plotcharsky, Mr Vasil",NA,,,,,,male
3rd,0,"Potchett, Mr George",NA,,,,,,male
3rd,0,"Radeff, Mr Alexander",NA,,,,,,male
3rd,0,"Raibid, Mr Razi",NA,,,,,,male
3rd,0,"Reed, Mr James George",NA,,,,,,male
3rd,0,"Reynolds, Mr Harold",NA,,,,,,male
3rd,0,"Rice, Master Albert",NA,,,,,,male
3rd,0,"Rice, Master Arthur",NA,,,,,,male
3rd,0,"Rice, Master George",NA,,,,,,male
3rd,0,"Rice, Master Eric",NA,,,,,,male
3rd,0,"Rice, Master Eugene",NA,,,,,,male
3rd,0,"Rice, Mrs William",NA,,,,,,female
3rd,0,"Riihiivouri, Miss Sanni",NA,,,,,,female
3rd,0,"Rintamaki, Mr Matti",NA,,,,,,male
3rd,1,"Riordan, Miss Hannah",NA,,,,,,female
3rd,0,"Risien, Mr Samuel",NA,,,,,,male
3rd,0,"Risien, Mrs Samuel",NA,,,,,,female
3rd,0,"Robins, Mr Alexander A.",NA,,,,,,male
3rd,0,"Robins, Mrs Alexander A.",NA,,,,,,female
3rd,0,"Rommetvedt, Mr Karl Kristian Knut",NA,,,,,,male
3rd,0,"Rogers, Mr William John",NA,,,,,,male
3rd,0,"Rosblom, Mrs Viktor",NA,,,,,,female
3rd,0,"Rosblom, Miss Salli Helena",NA,,,,,,female
3rd,0,"Rosblom, Mr Viktor Rickard",NA,,,,,,male
3rd,1,"Roth, Miss Sarah",NA,,,,,,female
3rd,0,"Rouse, Mr Richard Henry",NA,,,,,,male
3rd,0,"Rush, Mr Alfred George John",NA,,,,,,male
3rd,1,"Ryan, Mr Edward Ryan",NA,,,,,,male
3rd,0,"Ryan, Mr Patrick",NA,,,,,,male
3rd,0,"Saad, Mr Amin",NA,,,,,,male
3rd,1,"Saad, Khalil",NA,,,,,,male
3rd,0,"Sadlier, Mr Matthew",NA,,,,,,male
3rd,0,"Sadowitz, Mr Harry",NA,,,,,,male
3rd,0,"Sage, Miss Ada",NA,,,,,,female
3rd,0,"Sage, Miss Constance",NA,,,,,,female
3rd,0,"Sage, Miss Dorothy",NA,,,,,,female
3rd,0,"Sage, Mr Douglas",NA,,,,,,male
3rd,0,"Sage, Mr Frederick",NA,,,,,,male
3rd,0,"Sage, Mr George",NA,,,,,,male
3rd,0,"Sage, Mr John",NA,,,,,,male
3rd,0,"Sage, Mrs John",NA,,,,,,female
3rd,0,"Sage, Miss Stella",NA,,,,,,female
3rd,0,"Sage, Thomas (child)",NA,,,,,,male
3rd,0,"Sage, Master William",NA,,,,,,male
3rd,0,"Salander, Mr Karl Johan",NA,,,,,,male
3rd,1,"Salkjelsvik, Miss Anna",NA,,,,,,female
3rd,0,"Salonen, Mr Johan Werner",NA,,,,,,male
3rd,0,"Samaan, Mr Elias",NA,,,,,,male
3rd,0,"Samaan, Mr Hanna",NA,,,,,,male
3rd,0,"Samaan, Mr Youssef",NA,,,,,,male
3rd,1,"Sandstrom, Miss Hjalmar",NA,,,,,,female
3rd,0,"Sandstrom, Miss Beatrice Irene",NA,,,,,,female
3rd,0,"Sandstrom, Miss Marguerite Rut",NA,,,,,,female
3rd,0,"Sather, Simon Sivertsen",NA,,,,,,male
3rd,0,"Saundercock, William Henry",NA,,,,,,male
3rd,0,"Sawyer, Mr Frederick",NA,,,,,,male
3rd,0,"Scanlan, Mr James",NA,,,,,,male
3rd,0,"Sdycoff, Mr Todor",NA,,,,,,male
3rd,0,Seman Master Betros,NA,,,,,,male
3rd,0,"Serota, Mr Maurice",NA,,,,,,male
3rd,0,"Shaughnesay, Mr Patrick",NA,,,,,,male
3rd,0,"Shedid (Sitik), Mr Daher (Docart)",NA,,,,,,male
3rd,1,"Sheerlinck, Mr Jean",NA,,,,,,male
3rd,0,"Shellard, Mr Frederick B.",NA,,,,,,male
3rd,1,"Shine, Miss Ellen",NA,,,,,,female
3rd,0,"Shorney, Mr Charles",NA,,,,,,male
3rd,0,"Simmons, Mr John",NA,,,,,,male
3rd,0,"Sirayanian, Mr Arsun",NA,,,,,,male
3rd,0,"Sivic, Mr Husen",NA,,,,,,male
3rd,0,"Sivola, Mr Antti",NA,,,,,,male
3rd,1,"Sjoblom, Miss Anna Sofia",NA,,,,,,female
3rd,0,"Sholt, Mr Peter Andreas Lauritz Andersen",NA,,,,,,male
3rd,0,"Skinner, Mr Henry John",NA,,,,,,male
3rd,0,"Skoog, Master Harald",NA,,,,,,male
3rd,0,"Skoog, Master Karl",NA,,,,,,male
3rd,0,"Skoog, Miss Mabel",NA,,,,,,female
3rd,0,"Skoog, Miss Margit",NA,,,,,,female
3rd,0,"Skoog, Mr William",NA,,,,,,male
3rd,0,"Skoog, Mrs William",NA,,,,,,female
3rd,0,"Slabenoff, Mr Petco",NA,,,,,,male
3rd,0,"Slocovski, Mr Selman",NA,,,,,,male
3rd,0,"Smiljanovic, Mr Mile",NA,,,,,,male
3rd,1,"Smyth, Miss Julia",NA,,,,,,female
3rd,0,"Solvang, Mrs Lena Jacobsen",NA,,,,,,female
3rd,0,"Somerton, Mr Francis William",NA,,,,,,male
3rd,1,"Sop, Mr Jules",NA,,,,,,male
3rd,0,"Spector, Mr Woolf",NA,,,,,,male
3rd,0,"Staneff, Mr Ivan",NA,,,,,,male
3rd,0,"Stankovic, Mr Jovan",NA,,,,,,male
3rd,1,"Stanley, Miss Amy Zilla Elsie",NA,,,,,,female
3rd,0,"Stanley, Mr Edward Roland",NA,,,,,,male
3rd,0,"Storey, Mr Thomas",NA,,,,,,male
3rd,0,"Stoyehoff, Mr Ilia",NA,,,,,,male
3rd,0,"Strandberg, Miss Ida Sofia",NA,,,,,,female
3rd,1,"Stranden, Mr Juho",NA,,,,,,male
3rd,0,"Strilic, Mr Ivan",NA,,,,,,male
3rd,0,"Strom, Mrs Wilhelm",NA,,,,,,female
3rd,0,"Strom, Miss Telma (Selma) Matilda",NA,,,,,,female
3rd,1,"Sunderland, Mr Victor Francis",NA,,,,,,male
3rd,0,"Sundman, Mr Johan Julian",NA,,,,,,male
3rd,0,"Sutehall, Mr Henry, Jr",NA,,,,,,male
3rd,0,"Svensson, Mr Johan",NA,,,,,,male
3rd,1,"Svensson, Mr Johan Cervin",NA,,,,,,male
3rd,0,"Svensson, Mr Olof",NA,,,,,,male
3rd,0,"Tannous, Mr Thomas",NA,,,,,,male
3rd,1,"Tenglin, Mr Gunnar Isidor",NA,,,,,,male
3rd,0,"Theobald, Mr Thomas Leonard",NA,,,,,,male
3rd,1,"Thomas, Mrs Alexander",NA,,,,,,female
3rd,0,"Thomas, Master Assad Alexander",NA,,,,,,male
3rd,0,"Thomas, Mr Charles",NA,,,,,,male
3rd,0,"Thomas, Mr John, Jr",NA,,,,,,male
3rd,0,"Thomas, Mr John (? 1st/2nd class)",NA,,,,,,male
3rd,0,"Thomson, Mr Alexander",NA,,,,,,male
3rd,0,"Thorneycroft, Mr Percival",NA,,,,,,male
3rd,1,"Thorneycroft, Mrs Percival",NA,,,,,,female
3rd,0,"Tikkanen, Mr Juho",NA,,,,,,male
3rd,0,"Tobin, Mr Roger",NA,,,,,,male
3rd,0,"Todoroff, Mr Lalio",NA,,,,,,male
3rd,0,"Toerber, Mr Ernest William",NA,,,,,,male
3rd,0,"Tomlin, Mr Ernest Portage",NA,,,,,,male
3rd,0,"Torfa, Mr Assad",NA,,,,,,male
3rd,1,"Tornquist, Mr William Henry",NA,,,,,,male
3rd,0,"Touma (Thomas), Mrs Darwin",NA,,,,,,female
3rd,0,"Touma (Thomas), Master George",NA,,,,,,male
3rd,0,"Touma (Thomas), Miss Hannah",NA,,,,,,female
3rd,0,"Turcin, Mr Stefan",NA,,,,,,male
3rd,1,"Turja, Miss Anna Sofia",NA,,,,,,female
3rd,0,"Turkula, Mrs Hedvig",NA,,,,,,female
3rd,0,"Uzelas, Mr Joso",NA,,,,,,male
3rd,0,"Van Billiard, Mr Austin Blyler",NA,,,,,,male
3rd,0,"Van Billiard, Master James William",NA,,,,,,male
3rd,0,"Van Billiard, Master Walter John",NA,,,,,,male
3rd,0,"Van der Planke, Miss Augusta",NA,,,,,,female
3rd,0,"Van der Planke, Mr Jules",NA,,,,,,male
3rd,0,"Van der Planke, Mrs Jules",NA,,,,,,female
3rd,0,"Van der Planke, Mr Leon",NA,,,,,,male
3rd,0,"Van der Steen, Mr Leo Peter",NA,,,,,,male
3rd,0,"Van de Velde, Mr John Joseph",NA,,,,,,male
3rd,0,"Vandewalle, Mr Nestor Cyriel",NA,,,,,,male
3rd,0,"Van Impe, Miss Catharine",NA,,,,,,female
3rd,0,"Van Impe, Mr Jean Baptiste",NA,,,,,,male
3rd,0,"Van Impe, Mrs Jean Baptiste",NA,,,,,,female
3rd,1,"Vartunian, Mr David",NA,,,,,,male
3rd,0,"Vassilios, Mr Catavelas",NA,,,,,,male
3rd,0,"Vendel, Mr Olof Wdvin",NA,,,,,,male
3rd,0,"Vereruysse, Mr Victor",NA,,,,,,male
3rd,0,"Vestrom, Miss Hulda Amanda Adolfina",NA,,,,,,female
3rd,0,"Vonk, Mr Jenko",NA,,,,,,male
3rd,0,"Ware, Mr Frederick",NA,,,,,,male
3rd,0,"Warren, Mr Charles William",NA,,,,,,male
3rd,0,"Wazli, Mr Yousif",NA,,,,,,male
3rd,0,"Webber, Mr James",NA,,,,,,male
3rd,1,"Wennerstrom, Mr August Edvard",NA,,,,,,male
3rd,0,"Wenzel, Mr Linhart",NA,,,,,,male
3rd,0,"Widegren, Mr Charles Peter",NA,,,,,,male
3rd,0,"Wiklund, Mr Jacob Alfred",NA,,,,,,male
3rd,1,"Wilkes, Mrs Ellen",NA,,,,,,female
3rd,0,"Willer, Mr Aaron",NA,,,,,,male
3rd,0,"Willey, Mr Edward",NA,,,,,,male
3rd,0,"Williams, Mr Howard Hugh",NA,,,,,,male
3rd,0,"Williams, Mr Leslie",NA,,,,,,male
3rd,0,"Windelov, Mr Einar",NA,,,,,,male
3rd,0,"Wirz, Mr Albert",NA,,,,,,male
3rd,0,"Wiseman, Mr Phillippe",NA,,,,,,male
3rd,0,"Wittevrongel, Mr Camiel",NA,,,,,,male
3rd,1,"Yalsevac, Mr Ivan",NA,,,,,,male
3rd,0,"Yasbeck, Mr Antoni",NA,,,,,,male
3rd,1,"Yasbeck, Mrs Antoni",NA,,,,,,female
3rd,0,"Youssef, Mr Gerios",NA,,,,,,male
3rd,0,"Zabour, Miss Hileni",NA,,,,,,female
3rd,0,"Zabour, Miss Tamini",NA,,,,,,female
3rd,0,"Zakarian, Mr Artun",NA,,,,,,male
3rd,0,"Zakarian, Mr Maprieder",NA,,,,,,male
3rd,0,"Zenn, Mr Philip",NA,,,,,,male
3rd,0,"Zievens, Rene",NA,,,,,,female
3rd,0,"Zimmerman, Leo",NA,,,,,,male
================================================
FILE: week-1/week-1-homework.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Lede Algorithms -- Assignment 1\n",
"\n",
"In this assignment you will use a little algebra to figure out how to take the average of averages."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, read in the titanic.csv data set."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the average survival rate (mean of the `survived` column)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now compute the average survival rates of the male and female 1st, 2nd, and 3rd class passengers (six groups in total)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the average of these six averages. Is it the same as the the overall average?"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"How would you compute the overall average from the average of averages? Start with the formulas\n",
"\n",
"$$mean = \\frac{\\sum_{i=1}^N x_i}{N}$$\n",
"\n",
"for the overall mean, where $x_i$ is data value $i$ and $N$ is the total number of values, and\n",
"\n",
"$$mean_k = \\frac{\\sum_{i=1}^{N_k} xk_i}{N_k}$$\n",
"\n",
"is the mean of group $k$, where $xk_i$ is value $i$ of group $k$ and $N_k$ is the number of values in group $k$. You may also wish to use this formula which relates the sum of all points to the sum of the groups:\n",
"\n",
"$$\\sum_{k=1}^M ( \\sum_{i=1}^{N_k} xk_i ) = \\sum_{i=1}^N x_i$$\n",
"\n",
"Your task is to derive a formula that computes $mean$ using only $mean_k$, the $N_k$, $M$, and $N$. Note: this question is not asking you to write code! Rather, you must answer two questions:\n",
"\n",
"- What is the correct formula?\n",
"- How can we derive this formula starting from the formulas above?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"(your answer here)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now use this formula to calculate the overall mean. Does it match?"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
================================================
FILE: week-2/menendez-press-releases.csv
================================================
url,text
http://menendez.senate.gov/newsroom/press/release/?id=a5d48e78-bddf-490b-92d6-e8b06271efae,"Menendez Statement on Black History Month
Senator honors contributions of African-Americans both past and present
February 3, 2012
WASHINGTON – Today, on the 142nd anniversary of the ratification of the 15th Amendment which guaranteed that the right to vote could not be denied based on race, and in celebration of the beginning of Black History Month, U.S. Senator Robert Menendez (D-NJ) released the following statement:
“During Black History Month, we celebrate and recognize the enormous contributions of African-Americans in New Jersey and the nation as a whole. Throughout our Nation’s history African American men and women have enriched our society through education, business, medicine, religion, the military, science and technology and in many walks of life. These men and women have been pioneers for social and political change, freedom fighters, leaders, and a fundamental part of the fabric of our nation. The greatness of our Nation is rooted in its diversity and the contributions of all its citizens.”
On February 26, Senator Menendez will host The Second Annual Standing on the Shoulders of Giants Program, where the Senator will pay tribute to the rich history of African Americans during Black History Month. The event will honor the outstanding contributions of the100 Black Men of New Jersey, Inc. , the National Coalition of 100 Black Women, Bergen/Passaic Chapter and the National Coalition of 100 Black Women, Southern New Jersey. The event will be held on Sunday, February 26, 2012 at 5:00 p.m. at the First Baptist Church of Lincoln Gardens, 771 Somerset Street, Somerset, NJ, where the Rev. Dr. DeForest “Buster” Soaries is the senior pastor.
###"
http://menendez.senate.gov/newsroom/press/release/?id=d016f5c6-481a-42d7-8e68-91cb8a1af93c,"Menendez Praises Susan G. Komen For Reversing Decision and Taking Politics Out of Fight Against Breast Cancer
February 3, 2012
WASHINGTON -- U.S. Senator Robert Menendez (D-NJ) today praised the decision by the Susan G. Komen for the Cure Foundation to apologize and restore funding for Planned Parenthood health services:
“As someone who has supported the work of both Planned Parenthood and the Susan G. Komen for the Cure Foundation, I am relieved that the Komen Foundation has apologized, reversed its unfortunate decision and will continue to be a strong advocate for women’s health care. Getting a breast cancer screening is not a political issue, it is an issue, literally, of life and death, and I am pleased the foundation put politics aside and can now refocus on its undeniable core mission: saving women’s lives.
“These two organizations -- when partnered together -- can reach and protect more women. The Komen foundation’s funding, including a $20,000 grant to Planned Parenthood of Greater Northern New Jersey, helps women gain access to life-saving breast cancer screenings. And Planned Parenthood helps the Komen Foundation reach the most vulnerable in our communities – low-income women, African-American women and Latinas, who in many instances have only Planned Parenthood to turn to as their source of health care. I’m pleased both organizations will continue working together to have the largest reach and make the biggest impact possible for women’s health in New Jersey and across the country.
“I am proud to stand with the millions of women whose lives have been saved because they were able to get timely breast cancer screenings. The far right has been exposed – and rejected -- in this mean-spirited attempt to deny women a life saving procedure in order to advance its political agenda.”
Senator Menendez joined 25 Senate colleagues yesterday in a letter to the Komen Foundation, expressing disappointment in their decision to stop funding breast cancer prevention, screening and education at Planned Parenthood health clinics. Text of the letter below:
Dear Ambassador Brinker,
We write to express our disappointment with Susan G. Komen for the Cure’s decision to cut funding for breast cancer prevention, screening, and education at Planned Parenthood health centers. This troubling decision threatens to reduce access to necessary, life saving services. We urge Komen to reconsider its decision.
Planned Parenthood is a trusted provider of health care for women and men. More than 90 percent of the services provided by Planned Parenthood are primary and preventative including wellness exams and cancers screenings that save lives. Each year, Planned Parenthood health clinics provide 750,000 breast exams, 770,000 pap tests and nearly 4 million tests and treatments for sexually transmitted diseases. Twenty percent of all women in the U.S. have visited a Planned Parenthood health center.
For the past five years, grants to local affiliates of Planned Parenthood have been an important part of Planned Parenthood’s work to protect women from breast cancer. Komen funding for Planned Parenthood has provided nearly 170,000 clinical breast exams and resulted in 6,400 referrals for mammograms. In 2011 alone, grants from Komen provided Planned Parenthood with roughly $650,000 in funding for breast cancer prevention, screening, and education. According to a recent statement by Komen, “In some areas of the U.S., our affiliates have determined a Planned Parenthood clinic to be the best or only local place where women can receive breast health care.”
It would be tragic if any woman—let alone thousands of women— lost access to these potentially life-saving screenings because of a politically motivated attack.
We earnestly hope that you will put women’s health before partisan politics and reconsider this decision for the sake of the women who depend on both your organizations for access to the health care they need.
###"
http://menendez.senate.gov/newsroom/press/release/?id=5b6dfe11-babf-449f-a380-2ae9e7971b1a,"Menendez Applauds Dentists’ Pro-Bono Work For Underserved Patients
Senator’s legislation would expand dental care in underserved communities
February 3, 2012
Newark- U.S. Senator Robert Menendez (D-NJ) attended the University of Medicine and Dentistry of New Jersey (UMDNJ) event “Give Kids a Smile” today to discuss the importance of dental health and his legislation to spur bro-bono dental care in underserved communities. The Senator joined Dr. Cecile A. Feldman, Dean of the New Jersey Dental School; and dentists, dental hygienists and dental assistants, who performed pro-bono dental services at the event for over 350 children.
“Every year, countless kids don’t get a chance to have a healthy smile or even a chance at minimal dental care because of a lack of coverage,” said Senator Menendez. “In underserved communities children go without any dental care, risking not only their smile, but their physical health as well. That is simply unacceptable. That’s why I worked to include mandatory dental benefits for eligible kids in the reauthorization of CHIP, the Children’s Health Insurance Program. It’s unconscionable that we would let children in the CHIP Program go without necessary dental care. That’s also why I’ve introduced the Pro Bono Medically Recommended Dental Care Act that establishes a competitive grant program for nonprofit organizations to coordinate pro bono dental care for low-income and disabled people on Medicare, Medicaid, or eligible for CHIP.”
The legislation would invest $2 million a year in grant funding for dental health. The investment would allow dentists to provide upwards of $13 million in services to more than 5,000 people. Medically necessary dental care goes beyond a yearly check-up; it also addresses dental conditions that have caused or adversely affect a medical condition. Patients with Diabetes or renal disease can be severely affected by dental problems. The elderly, the disabled and low-income children can greatly benefit from this legislation.
The Children's Health Insurance Program (CHIP) provides health insurance for low income children whose parents cannot afford to buy private insurance and earn too much money to qualify for Medicaid. This program provides coverage to 6 million children across the nation.
“Give Kids A Smile” is celebrated each year on the first Friday in February. The “Give Kids A Smile” program in New Jersey is the culmination of the efforts of several different organizations under the direction of the New Jersey Dental Association. Each February, the entire dental community, both public and private sectors, comes together to ensure the delivery of care to thousands of underprivileged children who otherwise may not be able to afford or access care. Services rendered include oral hygiene instruction, screenings, cleanings, x-rays, fillings, extractions, fluoride treatments, stainless steel crowns, and much more. Volunteers work to ensure the program is fun and educational and that it gives many children a great first impression of visits to the dentists. All procedures are 100% free.
The full text of Pro Bono Medically Recommended Dental Care can be read here: http://thomas.loc.gov/home/gpoxmlc112/s1878_is.xml
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http://menendez.senate.gov/newsroom/press/release/?id=1a2c4500-b11f-41ef-b40d-ea9a81b62fb4,"Senator Menendez Applauds Passage of STOCK Act
Co-sponsored bill and hopes for full passage as quickly as possible
February 2, 2012
WASHINGTON, DC – Following an overwhelming bipartisan vote of 96-3 in favor of the STOCK Act, Senator Robert Menendez (D-NJ), a co-sponsor, issued this statement:
“I am very pleased that the Senate has successfully passed this important bill. Members of Congress are not above the law. If the public is subject to insider trading laws, there is no reason that we as public servants should not also be.
“Throughout my career, I have been strongly committed to restoring public faith in government and it is that commitment that ultimately led me to public service. In the 1980s, I fought to restore integrity and trust in government when my hometown of Union City had a corrupt mayor. Even while facing threats to my life, I still testified in court against this corrupt political machine.
“The STOCK Act is another step towards restoring faith in our government and I hope that it will be signed into law as quickly as possible.”
The Stop Trading on Congressional Knowledge (STOCK) Act explicitly bars members of Congress and their staff from engaging in insider trading or using nonpublic information for their personal benefit and clarifies that the Securities and Exchange Commission is fully empowered to prosecute members of Congress and their staff for engaging in insider trading. It also requires that members of Congress electronically report stock and other major financial transactions within 30 days. S. 1903, the STOCK Act, was introduced by Senator Gillibrand and co-sponsored by Senator Menendez in December 2011.
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http://menendez.senate.gov/newsroom/press/release/?id=338017b6-c793-439e-b5cf-739f109e2c08,"Menendez Hails Banking Committee Passage of Iran Sanctions Legislation
February 2, 2012
WASHINGTON – US Senator Robert Menendez (D-NJ) hailed the Senate Banking committee's approval and bipartisan support for the Iran Sanctions, Accountability and Human Rights Act. The bill, which contains many provisions from Menendez’s Iran, North Korea, Syria Sanctions Consolidation Act, (S.1048) will further enhance pressure on the Iranian regime to halt its illicit nuclear weapons program. Menendez and Senator Mark Kirk (R-IL) co-authored an amendment in December to the National Defense Authorization Act that imposed sanctions on financial institutions doing business with the Central Bank of Iran. Their amendment has led to a 25 percent drop in the Iranian currency and encouraged the European Union to take similar action and impose an embargo on Iranian oil.
Menendez said: “This legislation will thwart the work-arounds that Iran has devised to circumvent the U.S., EU and UN sanctions regimes, tighten the noose on the Iranian government, and send a message to the world that there is a choice – you can either do business with Iran or the United States, but not both. The bill will have a real impact on Iran's energy sector and its revenue: It expands the sanctions available under the Iran Sanctions Act; sanctions shippers that transport WMD or terrorism-related materials to or from Iran; imposes liability on U.S. companies whose foreign subsidiaries are violating U.S. sanctions law; expands sanctions on Iran’s Revolutionary Guard Corps Officials, agents, and affiliates; and creates a comprehensive strategy to promote internet freedom in Iran. This legislation is a logical next step in our sanctions regime and our efforts to stymie the regime’s flow of dollars into its nuclear fund.”
Earlier this week, the Senator met with Jack and Judy Young, of Moorestown, NJ, whose son Jeffrey was killed on October 23, 1983, when an Iranian bomb destroyed the Marine Corps Barracks in Lebanon. The Senator’s provision included in the legislation will finally allow families like the Young’s to enforce the judgment against Iran using Iranian assets being held at Citibank in NY.
“The Young’s have waited long enough for the justice their son deserves,” said Menendez. “With this bill, we will have the power we need to enforce the judgment against Iran and finally compensate these families who have suffered enough.”
The Committee adopted seven Menendez Amendments which included measures to:
Sanction Iranian-Energy Joint Ventures: This amendment would capture ongoing joint ventures between the Iranian regime outside of Iran, including joint ventures between the regime and certain governments in the Western Hemisphere.
Impose Visa Restrictions on Senior Iranian Officials, President Ahmadinejad and Supreme Leader Ali Khameini: This amendment imposes immigration restrictions on senior Iranian officials and family members, including the Supreme Leader, the President, Members of the Cabinet, members of the Assembly of Experts, senior members of the Intelligence Ministry, members of the Islamic Revolutionary Guard Corps with the rank of brigadier general or above, and members of paramilitary organizations such as Ansar-e-Hezbollah and Basij-e Motaz’afin.
Investigate of the National Iranian Oil Company/Tanker Company as IRGC Entities: This amendment requires the Treasury Department to make a determination under CISADA about whether the National Iranian Oil Company and the National Iranian Tanker Company are Iranian Revolutionary Guard Corps entities. If it concludes that they are IRGC entities, financial sanctions would apply to the financial institutions that facilitate transactions with NIOC and NITC.
Ensure Justice for Victims of Iranian Terror: This amendment, co-authored with Senator Brown (OH), makes it so that the victims of the 1983 Marine Corps Barracks bombing in Lebanon and the 1996 Khobar Towers bombing in Saudi Arabia will be able to attach two billion in Iranian Central Bank assets being held at a New York Bank.
Provide Authority to Sanction SWIFT for Facilitating Financial Transactions with Iran: This amendment, co-authored with Senator Roger Wicker (R-MI) and inspired by Senator Mark Kirk (R-IL), would provide the authority to the Executive Branch to sanction SWIFT*, its directors, or its significant shareholders. It also compels a report by the Secretary of the Treasury no later than 90 days after its enactment on the status of efforts to ensure that SWIFT has cut off services to designated Iranian banks and the Central Bank of Iran. Its Sense of the Congress encourages U.S. diplomatic initiatives with the EU on this issue by stating, “At a time when financial institutions around the world are severing their ties with such Iranian financial institutions, it is inconsistent and troubling that financial communications services providers continue to service those financial institutions, particularly with respect to the European cooperative SWIFT, which—(A) is subject to the prohibition of the European Union on providing economic resources to financial institutions designated for the imposition of sanctions by the European Union; and (B) notes in its own bylaws that it reserves the right to expel a SWIFT user that may adversely affect SWIFT's ""reputation, brand, or goodwill, for instance if the…SWIFT user is subject to sanctions (for example, UN or EU)"", as is the case with Iranian financial institutions.”
*SWIFT’s (the Society for Worldwide Interbank Financial Telecommunications) annual report notes that 19 Iranian banks and 25 Iranian institutions use SWIFT, and that in 2010 they sent 1,160,000 messages and received 1,105,000 messages. Primary Iranian users of Swift's services include Banks Mellat, Sepah, Saderat, Post and Iran's central bank—all of them designated by the U.S. Treasury.
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http://menendez.senate.gov/newsroom/press/release/?id=44f6f4df-6bb9-44b8-b5b3-a598127f171a,"Transportation Subcommittee Chair Says Bipartisan Senate Transit Bill will Deliver $63 Million More Per Year to NJ
More funding means more jobs, easier travel
February 2, 2012
WASHINGTON – Following today’s approval by the Senate Banking Committee of the Federal Public Transportation Act of 2012, U.S. Senator Robert Menendez (D-NJ), Chairman of the Subcommittee on Housing, Transportation and Community Development, called the bipartisan legislation “an incredible boon to New Jersey.” By cutting waste and eliminating earmarks, the bill will provide New Jersey $519 million in federal transit funding, an increase of over $63 million per year. If passed by the full Senate and House, New Jersey would receive more federal transit funding per year than ever before -- without increased overall federal spending.
“For over two years now, I have worked across party lines to help craft a bill that will invest in our infrastructure and improve public transportation for New Jersey families and commuters,”“This bill provides our state more federal transit funding than it has ever received before. What does more funding mean? It means more resources to protect and create good paying jobs and more funds to make the improvements we need to ease congestion and delays.” said Menendez.
Menendez also applauded the inclusion of a number of provisions he championed including:
A New $20 Million Transit Oriented Development Planning Program. The $20 million program will help communities create more livable communities by planning new development around new transit hubs. The provision is based on similar language in Senator Menendez’s Livable communities Act, and in New Jersey would work in tandem with the state’s Transit Village program.
Increased Funding for the National Transit Institute at Rutgers (NTI) [$5million]. NTI provides training, education, and clearinghouse services in support of public transportation and quality of life for the entire nation. In recent years this important national program has seen its funding slashed, despite the increased need for training in the face of an ongoing wave of retirements in the industry. This bill will raise NTI’s funding to $5 million per year from $3.8 million.
Increased Clean Fuels Program Funding [From $51.5M to $65M]. This competitive program for clean fuel transit vehicles and for refueling infrastructure will help agencies switch from dirty, expensive fuels, to cleaner, cheaper fuels. This will help improve air quality and allow transit agencies to untether themselves from volatile oil prices.
Increased Funding for Transportation for Seniors and the Disabled [NJ Funding Goes From $6.5 M to $7.8 M]. With demand for senior transportation increasing, the bill is able to meet that demand with increased resources.
Streamlined and Reformed “New Starts” Process. The bill streamlines the process for the federal approval of new projects and allows projects designed to increase capacity on existing systems rather than just allow new systems or new lines. Older systems such as New Jersey’s that are at capacity could, for instance, use the program to add a new station, add another track, or purchase bigger train cars.
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http://menendez.senate.gov/newsroom/press/release/?id=f2a059eb-6d2a-4d99-b508-2c957f8d00e8,"Menendez, Lautenberg Announce More than $2 Million For New Jersey Fire Departments and Safety Squad
February 1, 2012
WASHINGTON, D.C. – U.S. Senators Robert Menendez (D-NJ) and Frank R. Lautenberg (D-NJ) today announced six fire departments and a safety squad in New Jersey have received more than $2 million in federal funding through the Federal Emergency Management Agency’s (FEMA) Assistance to Firefighters Grant (AFG) program. Eligible uses of this grant funding include investments in training, equipment, vehicle acquisition, and health programs.
“Our firefighters need to have the resources they need to protect themselves and our families in case of a fire emergency,” said Senator Menendez. “These funds will allow local fire departments to purchase the most modern safety equipment available and boost their capacity to respond in case of a fire. This is the very least we can do for the safety of our first responders, our families, and our communities.”
“With first responders ready to roll at the sound of the alarm, we must be certain that they are sufficiently trained and equipped to handle emergencies safely and effectively,” said Senator Lautenberg, Vice Chairman of the Senate Appropriations Subcommittee on Homeland Security, which funds the AFG program. “First responders put their lives on the line to keep us safe and they deserve our support. While states and municipalities are making tough budget decisions, this direct federal investment in local emergency response is especially important to the safety of our communities.”
Federal grants have been awarded to the following organizations:
Jersey City Department of Fire & Emergency Services – $929,088 for operations and safety
City of Wildwood Fire Department – $351,554 for operations and safety
Ridgewood Fire Department – $315,000 for vehicle acquisition
Nutley Fire Department – $265,950 for vehicle acquisition
Laureldale Volunteer Fire Rescue Company in Mays Landing – $179,550 for vehicle acquisition
Irvington Fire Department – $47,200 for operations and safety
Atlantic Highlands First Aid and Safety Squad – $13,381 for operations and safety
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http://menendez.senate.gov/newsroom/press/release/?id=c9b830d5-69d7-43ec-87d9-331a90dc2ee6,"Menendez Hosts NJ Small Business Leaders at Nation's Capital
Joined Senate Democratic Committee at roundtable discussion about job creation, local economy
February 1, 2012
WASHINGTON, D.C. – U.S. Senator Robert Menendez (D-NJ) hosted two New Jersey businesses today at a discussion with Senate Democrats about how they, and other small and medium businesses, are strengthening local economies, creating jobs, and how their efforts may be replicated nationally. Jim Brennan, President of Sea Box, Inc. of East Riverton, and Debbie Hart, President of BioNJ of Trenton, joined Senator Menendez for the meeting which was attended by Senators and local business owners from 12 states.
“Today was a great opportunity to hear from two top-notch New Jersey business owners– Jim Brennan of Sea Box and Debbie Hart of BioNJ – who understand how important it is for Washington to help create a climate where they can thrive and grow and where new businesses can start and flourish,” said Menendez. “Now it is our job to take what we heard from those small business owners who have tried and succeeded and help other small businesses do the same. We have to do everything we can to create an environment which is conducive to business growth and a strong private sector.”
“I am honored to be asked to speak to the Senators about the success and growth of my business,” said Jim Brennan. “Sea Box, Inc. is a true American success story and I have been lucky enough to be living the American Dream of creating, owning and operating my own U. S. small business. Our success has been made possible by the hard work and dedication of all of our hard working employees at Sea Box. Here in Washington, I was given the opportunity to express my beliefs and desire to see more products designed and produced here in the United States like we do -- my factory in New Jersey has created and built over 5,000 container designs over the last 29 years. This forum has given me, a small business owner, the chance to be heard on Capitol Hill, and to share our successful strategies with other small businesses.”
“Given the state of the economy, sessions such as this where we can share good economic results and news and consider strategies for generating more of the same can only mean good things,” said Debbie Hart. “It will allow legislators to see what’s working and learn how these results were generated and to consider and assess the potential for repeating such results. It is opportunities such as this that can get us closer to the end of this economic downturn and give us hope for the economic future of this country.”
Sea Box, Inc. sells and leases new and used ISO shipping, cargo, mobile storage and refrigerated containers for scores of applications to a diverse and international customer base. With 29 years in the industry, Sea Box is a multi-million dollar company with a comprehensive equipment fleet and an experienced design team. In the past five years, Sea Box, Inc. has grown from 50 employees to 170 employees – hiring 70 new workers since 2008.
BioNJ works to enhance the climate for biotechnology in New Jersey. As the representative of an industry that has the potential to change the course of human health, make our environment cleaner and the foods we eat safer and healthier, BioNJ is single-minded in its commitment to the growth and prosperity of this industry within the state of New Jersey. By utilizing supportive government policy, BioNJ has helped the biotechnology industry in New Jersey grow from just 80 companies in 1998 to more than 335 companies today. Additionally, the Qualifying Therapeutic Discovery Project Credit program provided funding to more than 4,600 total projects at companies in 47 states and the District of Columbia, helping the average biotechnology company increase its workforce by 27%.
Senator Menendez has long been fighting to give small businesses the tax relief, access to capital and regulatory environment they need to flourish:
Tax Relief
Strong supporter of bills signed into law that provided tax incentives to small businesses to expand and purchase new equipment.
Also supported legislation that made it easier for start-up small businesses to secure private investments.
Supports the President’s American Jobs Act, which would cut payroll taxes in half for small businesses, allow 100 percent expensing through 2012, and provide incentives for hiring unemployed workers and veterans.
Access to Capital
Has worked to increase loan guarantees offered by the SBA, to relieve the credit crunch on small businesses which hinders their growth.
Easing Regulations
Voted to repeal the so-called 1099 reporting requirement so business owners can focus more on their business and less on paperwork.
Was a leader in securing an amendment to the Dodd-Frank Wall Street Accountability Act that requires the federal government to ensure new regulations do not hurt small businesses before they are put into place.
Most recently, supported the repeal of the so-called 3 percent withholding requirement, which prevented small businesses from receiving the full payment for contracts until the tax year concluded.
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http://menendez.senate.gov/newsroom/press/release/?id=9a16aab3-518e-4099-be5b-505e8e855f51,"Senator Menendez Slams Unfair Imprisonment of Former Ukrainian Prime Minister Yulia Tymoshenko
February 1, 2012
WASHINGTON – United States Senator Robert Menendez (D-NJ) participated in the Senate Foreign Relations Committee hearing on Ukraine today, giving him the opportunity to meet Eugenia Tymoshenko and to discuss the inhumane detention of her mother, the former Prime Minister Yulia Tymoshenko. Last October, a Ukrainian court sentenced Yulia Tymoshenko to seven years in prison after she was found guilty of abuse of office when brokering a 2009 gas deal with Russia. The Senator expressed his sympathy and support to Ms. Tymoshenko and vowed to assist in her efforts to have her mother freed from prison.
“Your mother is a pioneering and incredibly strong woman,” the Senator told the younger Tymoshenko. “Yulia is an example for all people who care so much about their country that they are willing to endure extraordinary hardship and not just lay down in the face of oppression and cruelty. I think this hearing is a wonderful way to inform the American people not only about your mother, but the other opposition leaders in jail and to keep the pressure on the Ukrainian authorities to give Yulia her freedom back.”
“Every day the human rights situation in Ukraine worsens and it’s starting to remind me of the shameful conditions of the Soviet era. Yulia Tymoshenko worked very hard to throw off the tyranny of the Soviet past, and to see her and other opposition leaders in jail cells is a reminder of how much work remains to be done to improve human rights and political freedom in today’s Ukraine. We must convince President Yanukovych that Ukraine’s path to freedom and economic prosperity is not through Soviet-style centralized government, but by way of releasing the power, intelligence and dignity of the Ukrainian people while respecting the rights of all its citizens,” added Menendez.
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http://menendez.senate.gov/newsroom/press/release/?id=e39f94a9-33e6-4cb0-a35b-a7e4e244cedc,"Menendez Hails President Obama’s Plan to Help Homeowners and Repair Housing Market
February 1, 2012
WASHINGTON – US Senator Robert Menendez (D-NJ), Chairman of the Senate Banking Subcommittee on Housing, Transportation, and Community Development, today applauded President Obama’s housing plan to help responsible homeowners and rebuild our housing market. At a speech earlier this morning, the president laid out in detail his proposal to fix our housing market first announced during the State of the Union Address as part of his Blueprint for an America Built to Last.
“I applaud President Obama for putting forth a comprehensive and workable plan to help our nation’s homeowners and reinvigorate our housing market. I share the President’s goals and the principles underlying these reforms and, as Housing Subcommittee Chair, I have been working toward the same goals and will continue to work with my colleagues in Congress to move our shared interests forward.
“In my committee, we have worked to expand refinancing opportunities for homeowners at today’s historically low interest rates, successfully fought to maintain mortgage loan limits across the entire country, and led the charge to expand HAMP and loan modification efforts. We have also explored neighborhood rehabilitation, the creation of national servicing standards for homeowners and I fully support prosecuting those who have gambled with people’s homes for their own profit. Together, these strategies will help turnaround our troubled housing market and boost our broader economy.
“But there is still more we can and must do. We have to find ways to help homeowners who –through no fault of their own -- are so far underwater that they are drowning. My proposal – which will reduce principal for responsible homeowners by working with banks and investors on a ‘shared appreciation’ mortgage – can give these homeowners a much needed lifeline.”
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http://menendez.senate.gov/newsroom/press/release/?id=07f76ecc-f2a7-4b39-98fa-cb8574889e67,"Menendez Calls for FHFA Inspector General to Investigate Allegations Freddie Mac Bet Against Homeowners
Questions Whether There Are Conflicts of Interest on Other GSE Investments That Hurt Homeowners
January 31, 2012
Washington – In the wake of an investigation by NPR and ProPublica that alleges Freddie Mac “placed multibillion dollar bets that pay off if homeowners remain in expensive mortgages with above-market interest rates,” U.S. Senator Robert Menendez today called on the Inspector General for the Federal Housing Finance Agency (FHFA), which oversees Freddic Mac and Fannie Mae, to fully examine transactions of both Freddie Mac and Fannie Mae, as well as FHFA’s role in the transactions as the regulator of Fannie Mae and Freddie Mac.
In a letter to Inspector General Linick, Menendez, who is Chairman of the Senate Subcommittee on Housing, Transportation, and Community Development, outlined a series of questions about the potential conflict between Freddie Mac’s investments and their core mission to make homeownership more accessible.
“If Freddie Mac stood to benefit from homeowners being trapped in above-market interest rates, are such transactions consistent with their mission?” Menendez wrote.
“…this raises the larger question of what other transactions may have been conducted at either Freddie Mac or Fannie Mae that are inconsistent with their mission or would run against the interest of homeowners. I respectfully request that you consider opening an investigation into these transactions to ensure that they are consistent with homeowners’ interests,” he added.
Full text of the letter below.
January 31, 2012
The Honorable Steve A. LinickInspector GeneralFederal Housing Finance Agency400 7th Street, SWWashington, DC 20024
Dear Mr. Linick:
As Chairman of the Senate Subcommittee on Housing, Transportation, and Community Development, I write to you today following the disturbing ProPublica/NPR news report from January 30th, 2012, alleging that Freddie Mac had essentially placed multibillion dollar bets that pay off if homeowners remain in expensive mortgages with above-market interest rates.
The article alleges that Freddie Mac began increasing these bets “dramatically” in late 2010 and early 2011, which is “the same time that the company was making it harder for homeowners to get out of such high-interest mortgages.” Several lawmakers, myself included, also pushed both Freddie Mac and Fannie Mae to expand their refinancing programs. While it is unclear if Freddie Mac’s transactions and their unwillingness to refinance loans for struggling homeowners are connected, these allegations must be thoroughly investigated.
Obviously, the allegations in this article are extremely alarming and raise several other important questions. As Freddie Mac’s regulator, what was FHFA’s role in these investments? What was the extent of their knowledge prior to and during these transactions? According to press reports, the agency said yesterday it “had identified concerns” surrounding these transactions but does not clarify whether they were resolved or even addressed. What were those concerns and were they resolved? If Freddie Mac stood to benefit from homeowners being trapped in above-market interest rates, are such transactions consistent with their mission? And are firewalls between different groups sufficient to prevent conflicts of interest with the homeowners that Freddie is supposed to help?
I recognize that Freddie Mac is ultimately accountable to American taxpayers, but I have to believe that accountability can be achieved without hurting American homeowners and continuing to devastate the American economy. I simply do not believe these goals are mutually exclusive.
Finally, this raises the larger question of what other transactions may have been conducted at either Freddie Mac or Fannie Mae that are inconsistent with their mission or would run against the interest of homeowners? I respectfully request that you consider opening an investigation into these transactions to ensure that they are consistent with homeowners’ interests.
I would strongly urge the FHFA Office of Inspector General to systematically examine transactions of both Freddie Mac and Fannie Mae, as well as FHFA’s role in these actions. With the Government Sponsored Enterprises in conservatorship and being kept afloat by American taxpayers, and FHFA both their regulator and conservator, a full accounting of their actions is necessary.
Thank you for your attention to this important matter. Please do not hesitate to contact me if I can be of further assistance.
Sincerely,
ROBERT MENENDEZUnited States Senator
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http://menendez.senate.gov/newsroom/press/release/?id=7b6e37d9-350c-4bfe-bdd0-83eca0cd761c,"Menendez: Bipartisan Senate Transit Bill Will Deliver NJ over $62 Million More Per Year
Chair of Banking’s Transit Subcommittee Delivers Urgently Needed Transit Funding in a Flat Funded Bill
January 30, 2012
WASHINGTON - Senator Robert Menendez (D-NJ) today announced that Senate Banking Committee’s transit reauthorization mark, which he helped craft, will be a boon to New Jersey. By cutting waste and eliminating earmarks, the bill will provide New Jersey $519 million in federal transit funding, an increase of over $62 million per year. If passed, New Jersey would receive more federal transit funding per year than ever before and without increased overall federal spending.
“For over two years now, we have worked to craft a bill to improve public transportation in New Jersey and across America,” said Menendez, who worked closely with former Chairman Dodd, Chairman Johnson, and Ranking Member Shelby on the bill. “By wringing out waste and earmarks, the bill provides New Jersey with more federal transit funding than it has ever received before, and does so when NJ Transit desperately needs money to address delays and rider complaints.”
The bill also contains a number of programs the Senator championed including:
A New $20 Million Transit Oriented Development Planning Program. The $20 million program will help communities create more livable communities by planning new development around new transit hubs. The provision is based on similar language in Senator Menendez’s Livable communities Act, and in New Jersey would work in tandem with the state’s Transit Village program.
Increased Funding for the National Transit Institute at Rutgers (NTI) [$5million]. NTI provides training, education, and clearinghouse services in support of public transportation and quality of life for the entire nation. In recent years this important national program has seen its funding slashed, despite the increased need for training in the face of an ongoing wave of retirements in the industry. This bill will raise NTI’s funding to $5 million per year from $3.8 million.
Increased Clean Fuels Program Funding [From $51.5M to $65M]. This competitive program for clean fuel transit vehicles and for refueling infrastructure will help agencies switch from dirty, expensive fuels, to cleaner, cheaper fuels. This will help improve air quality and allow transit agencies to untether themselves from volatile oil prices.
Increased Funding for Transportation for Seniors and the Disabled [NJ Funding Goes From $6.5 M to $7.8 M]. With demand for senior transportation increasing, the bill is able to meet that demand with increased resources.
Streamlined and Reformed “New Starts” Process. The bill streamlines the process for the federal approval of new projects and allows projects designed to increase capacity on existing systems rather than just allow new systems or new lines. Older systems such as New Jersey’s that are at capacity could, for instance, use the program to add a new station, add another track, or purchase bigger train cars.
“With gasoline prices expected to spike again this summer, we need to invest in public transportation more than ever,” said Menendez. “This bill stretches the federal dollar further and puts more money directly into our transit systems. Hopefully, we will pass this bill and provide transit agencies with the resources they need to manage projected ridership increases this summer.”
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http://menendez.senate.gov/newsroom/press/release/?id=17bc5d74-6b87-4449-8c74-02ccf5a69956,"Menendez Promotes ""Made In America"" At Girl Scout Uniform Manufacturer
Passaic Company Won Bid from Organization to Keep Jobs in the US
January 30, 2012
PASSAIC - U.S. Senator Robert Menendez today visited Jackie Evans/Susana Monaco Incorporated in Passaic to underscore the importance of “Made in America” and to promote proposals laid out in the President’s State of the Union address to revive U.S. manufacturing, an anchor of a robust economy. Menendez was joined by Representative Bill Pascrell, Charisse Taylor, representing Girl Scouts of the USA, and owners Susana, Mario, and Domenick Monaco.
“It’s time we put the pride back in American manufacturing, American made,” said Menendez. “It's time we stop talking about America's decline, stop talking about the end of American dominance in manufacturing, and take our hats off to New Jersey workers here at Jackie Evans Inc. who are producing goods for one of the greatest organizations in this country, Girl Scouts of the USA. The work they are doing here should stand as a model to all small businesses looking to prosper in these hard economic times. Let’s help companies like Jackie Evans Inc. keep jobs right here in the U.S.”
Senator Menendez spoke to factory workers about the importance of providing incentives to manufacturers to discourage outsourcing and encourage insourcing. He urged the need to change the tax code to discourage American companies from moving operations overseas in search of cheaper costs; doing away with deductions available to companies that close plants in the U.S.; and a new 20% income tax credit for companies that return.
Menendez visited the manufacturing plant where 80 employees have been producing the Girl Scout uniforms and sashes for over a decade. In 2010, the Jackie Evans division that manufactures the iconic Girl Scouts uniforms almost lost the contract because it became difficult for them to compete with foreign market prices. Girl Scouts of the USA ultimately decided to keep their uniforms made domestically, with the work being done in New Jersey and New York.
During the past two years, we have begun to see positive signs in American manufacturing – with the manufacturing sector adding more than 300,000 jobs since December 2009, with companies engaging in the emerging trend of “insourcing” by bringing jobs back and making additional investments in the United States. Manufacturing jobs are growing for the first time since the late 1990s.
In his State of the Union address, President Obama laid out a Blueprint for an America Built to Last, encouraging companies to create manufacturing jobs in the United States while removing deductions for shipping jobs overseas and encouraging insourcing. The proposals include: 1. Removing tax deductions for shipping jobs overseas and providing new incentives for bringing them back home (revenue neutral): The tax code currently allows companies moving operations overseas to deduct their moving expenses – and reduce their taxes in the United States as a result. The President is proposing to change that. These deductions will be denied, and companies will no longer be provided deductions for moving their operations abroad. At the same time, the President is proposing to give a 20 percent income tax credit for the expenses of moving operations back into the United States to help companies bring jobs home. 2. Targeting the domestic production incentive on manufacturers who create jobs here at home and doubling the deduction for advanced manufacturing (revenue neutral): In conjunction with the President’s broader commitment to corporate tax reform, the Administration is proposing measures to provide incentives for manufacturing in the United States. The Administration is proposing to reform the current deduction for domestic production by more narrowly focusing it on manufacturing activities—for example, it would no longer cover oil production. These savings would be invested in expanding the deduction for manufacturers and doubling for advanced manufacturing technologies from its current level of 9 percent to 18 percent. 3. Introducing a new Manufacturing Communities Tax Credit to encourage investments in communities affected by job loss ($6 billion in credits): The President is proposing a new credit for qualified investments that help finance projects in communities that have suffered a major job loss event. This credit will provide $2 billion per year in incentives for three years. For this purpose, a major job loss event occurs when a military base closes or a major employer closes or substantially reduces a facility or operating unit, resulting in permanent mass layoffs. The tax credit would support qualified investments in this affected community – made in conjunction with State Economic Development Agencies and other local entities – that improve local economic growth. 4. Providing temporary tax credits to drive nearly $20 billion in domestic clean energy manufacturing ($5 billion in credits): The President is proposing to extend tax credits to drive nearly $20 billion of investment in domestic clean energy manufacturing, ensuring new windmills and solar panels will incorporate parts that are produced and assembled by American workers. This Advanced Energy Manufacturing Tax Credit – which was oversubscribed more than three times over – goes to investments in clean energy manufacturing in the United States. The additional $5 billion in tax credits the President is proposing will leverage nearly $20 billion in total investment in the United States. 5. Reauthorizing 100% expensing of investment in plants and equipment ($4 billion): The President is proposing to extend for all of 2012 a provision that allows businesses to expense the full cost of their investments in equipment, spurring investment in the United States. Over the next two years, this would provide businesses large and small with $50 billion in tax relief, with much of that recovered by the Treasury in subsequent years. 6. Closing a loophole that allows companies to shift profits overseas (raises $23 billion): Corporations right now can abuse the tax system by inappropriately shifting profits overseas from intangible property created in the United States. The President is proposing to close this loophole.
###"
http://menendez.senate.gov/newsroom/press/release/?id=da412d90-bde0-46fe-aac2-376f81773183,"U.S. Senator Robert Menendez on International Holocaust Remembrance Day
January 27, 2012
WASHINGTON – Today, here in the United States and around the world in commemoration of International Holocaust Remembrance Day, we stop and reflect on the six million Jewish souls that perished at the hands of a brutal Nazi regime, a regime that had no respect for human life and whose callousness was an indelible scar on the human conscience. Senator Menendez issued the following statement:
“We will always remember and mourn the six million Jews that perished in this dark period of history. With the focus this year on the Children and the Holocaust, we can only lament the fact that of the six million, one and a half million were children, innocent children who never had the opportunity to create, invent, fulfill their dreams and pass on their Jewish heritage to the next generation. As the survivors numbers dwindle, let us make a vow to remember their stories and pass on their sad lessons to the young, so that they will learn from it and prevent it from happening in the future. As United States Senator representing the State of New Jersey where we have recently seen anti-Semitism rear its ugly head, I promise that I will do everything I can to eradicate the hatred that seeds acts of intolerance and will focus efforts on ensuring that this is on the national agenda. ”
###"
http://menendez.senate.gov/newsroom/press/release/?id=b78ed5f5-8fcb-41f6-b7dd-3694607c9c95,"Menendez, Burr Applaud President for Joining Call for More Use of Natural Gas in Transportation
Authors of NAT GAS Act Look Forward to Working with the Administration To Pass Fully Paid-For New Incentives
January 26, 2012
WASHINGTON – U.S. Senators Robert Menendez (D-NJ) and Richard Burr (R-NC) today applauded the President for endorsing the idea of creating new incentives for running medium and heavy trucks, and public transportation vehicles on natural gas. The Senators are authors of the New Alternative Transportation to Give Americans Solutions (NAT GAS) Act of 2011, legislation that would boost domestic production of vehicles that run on clean natural gas by extending tax credits for natural gas vehicles and building refueling infrastructure, and be fully paid for by a temporary user fee on natural gas used as a vehicle fuel.
Today President Obama will give two speeches about his clean energy blueprint announced during the State of the Union address. The first talk will occur at a United Parcel Service facility in Las Vegas, the second at Buckley Air Force base in Aurora, Colorado. In both speeches the President is expected to endorse new incentives for medium- and heavy-duty trucks that run on natural gas and support programs to convert municipal buses and trucks to run on natural gas. These ideas are both in and fully paid for in the NAT GAS Act.
“We look forward to working with the President to pass our legislation to use more cheap, domestic natural gas here in America instead of exporting this fuel abroad,” said Menendez. “Our bipartisan bill will create jobs and lower transportation costs and do so without adding one dime to the deficit. This is exactly the kind of bipartisan proposal we should be able to pass, even in an election year.”
“Natural gas represents a way to boost our nation's energy security and help free us from our over-reliance on foreign oil, and I am pleased to hear that the President is committed to working with us on this effort"" said Senator Burr. ""Energy security is absolutely vital to national security, and our bill would be a step in the right direction towards decreasing our dependence on imported energy sources.""
Currently there are nearly 14 million natural gas vehicles in the world, but only about 117,000 in the United States. [EIA, 2011] It is estimated that the NAT GAS Act of 2011 will jumpstart the industry and in ten years add over 700,000 NGVs to our roads. In addition it is estimated that the bill will displace over 20 billion gallons of fuel and create over 1 million direct and indirect jobs.
Natural Gas is Plentiful
North America’s natural gas resources discoveries have increased by more than 1,800 trillion cubic feet (Tcf) over the past three years, bringing the total natural gas resource base to more than 3,000 Tcf. With U.S. natural gas demand at about 23.5 Tcf per year, this resource could supply current consumption for over 100 years. [Fueling North America’s Energy Future, p. ES-4]
Natural Gas Is Cheap
At the pump, on average, CNG sells for $2.33 per gasoline gallon equivalent while gasoline sells for $3.46 [DOE Clean Cities Price Report, p. 3]. LNG, which competes primarily with diesel fuel, currently is selling for $2.25 per diesel gallon equivalent while diesel sells for $3.81 per gallon. [Id., p. 6 n.6]
We Have To Decide: Do We Use It Here Or Export It?
If we do not use our natural gas here in America, it will be exported abroad, for other’s benefit. The price of natural gas internationally is significantly higher than it is here in the United States. As a result one facility recently received a permit to export natural gas and four more U.S. facilities are following suit. [Testimony of Deputy Assistant Secretary for Oil & Natural Gas Mr. Chris Smith, 11/8/11] We can use that natural gas here in the United States to displace oil or we can export it, so other countries can improve their own energy security and clean their air.
SUMMARY OF LEGISLATION:
Summary
New Alternative Transportation to Give Americans Solutions Act (NAT GAS ACT) of 2011
TITLE I—PROMOTE THE PURCHASE AND USE OF NGVS WITH AN
EMPHASIS ON HEAVY-DUTY VEHICLES AND FLEET VEHICLES
Sec. 101 Extension and modification of new qualified alternative fuel motor vehicle credit.
There currently are no federal tax credits to encourage the purchase of new natural gas vehicles, or to encourage the conversion of existing petroleum-fueled vehicles to operate on natural gas. Previous tax credits, located in 26 USC 30B, intended to encourage such purchases expired on 12/31/2010. This provision would reinstate the expired credits and extend the incentive through the end of 2016.
Sec. 102 Allowance of vehicle and infrastructure credits against regular and minimum tax and transferability of credits.
The alternative minimum tax provisions in the tax code limit the usability of natural gas fueling infrastructure (IRC, 30C) and natural gas vehicle (IRC, 30B) tax credits. Most business and individual tax credits may only be applied to reduce regular taxes -- not minimum taxes. This section would allow the tax credits to be applied against a taxpayers minimum tax.
The transferability provision similarly is intended to enhance the utility of the fueling infrastructure and vehicle tax credits in cases where the taxpayer who would otherwise benefit from the credit is unable to do so because of insufficient tax liability. Under IRC 30B and 30C, the tax credit benefit goes to the buyer. For leased fueling infrastructure or vehicles, the credit goes to the lessor (i.e., leasing company). For sales to tax exempt entities, the tax code treats the seller as if they placed the fueling infrastructure or vehicle in service and allows the seller to claim the tax credit, but only if they disclose the value of the tax credit to the purchaser.
The transferability provision in this bill allows the claimant to transfer the credit if they cannot benefit from it, allowing the taxpayer to transfer the credit to the seller, manufacturer or lessee (in cases involving leases).
Sec. 103 Modification of credit for purchase of vehicles fueled by compressed natural gas or liquefied natural gas.
The previous tax credits for natural gas vehicles found in IRC 30B only encouraged the acquisition of dedicated natural gas vehicles. Some heavy-duty dual-fuel or mixed-fueled vehicles qualified for the tax credits but in general dual-fuel and bi-fuel vehicles did not qualify for the federal tax credits. Also, the value of the tax credits was tied to the incremental cost of such vehicles and the credit values were capped according to weight with the maximum tax credit values allowed under the law ranging from $2,500 to $32,000. As described below, this bill increases these dollar amounts.
Under this bill, all new dedicated natural gas vehicles and certain bi-fuel and dual-fuel alternative natural gas vehicles would be eligible for a credit equal to 80 % of the incremental cost up to a maximum tax credit amount or cap. To qualify for the maximum credit of 80%, a bi-fuel natural gas vehicle must be capable of operating a minimum of 85 percent of its total range on compressed or liquefied natural gas. Dual-fuel natural gas vehicles qualify for the maximum tax credit allowed if the vehicle is capable of operating on a mixture of no less 90 percent compressed or liquefied natural gas and no more than 10% gasoline or diesel. All other new or converted natural gas vehicles are eligible for a credit equal to 50% of the incremental cost up to a credit cap. The maximum value of the tax credits provided would be capped and would range depending on the weight of the vehicle as shown below:
NGV Eligible Weight Categories
Max. Allowable Tax Credit
Light Duty, less than 8,501 lbs.
$7,500.00
Medium Duty, 8,501 - 14,000 lbs.
$16,000.00
Heavy Duty 14,000 - 26,000 lbs.
$40,000.00
Heavy Duty 26,001 & up lbs.
$64,000.00
Sec. 104 Modification of definition of new qualified alternative fuel motor vehicle.
This section modifies the definition of new qualified alternative fuel motor vehicles so that in addition to dedicated alternative fueled vehicle that are only capable of operating on an alternative fuel, IRC 30B now also includes bi-fuel natural gas vehicles, and a dual-fuel natural gas vehicle. For purposes of IRC 30B, this section defines bi-fuel vehicles as a vehicle that is capable of operating on compressed or liquefied natural gas and gasoline or diesel fuel. Dual-fuel vehicles are defined as vehicles that are capable of operating on a mixture of compressed or liquefied natural gas and gasoline or diesel fuel. This section also clarifies that converted or repowered vehicles shall be treated as new vehicles for the purposes of this section.
Sec. 105 Providing for the treatment of property purchased by Indian tribal governments.
The tax credits found in IRC 30B and 30C currently benefit certain tax exempt entities by treating the seller to such entities as if they placed the vehicle or fueling infrastructure into service and thus allowing the seller to claim the tax credit. However, this section does not specifically include sales to Indian Tribal Governments and therefore Indian Tribes do not receive any potential benefit from this provision. The provision relating to sales to tax exempt entities is intended to give the seller a tax benefit with the idea that some of the tax benefit will be passed along to the purchaser in the form a lower price. Therefore, this bill amends IRC 30B and 30C to clearly identify Indian Tribal Governments along with other tax exempt entities.
TITLE II— PROMOTE PRODUCTION OF NGVS BY ORIGINAL
EQUIPMENT MANUFACTURERS
Sec. 201 Credit for producing vehicles fueled by natural gas or liquefied natural
gas.
To encourage manufacturers to offer a greater variety of new NGVs -- and in particular light duty NGVs, this section creates a new production tax credit in section 45S of the IRC. The tax credit is valued at the lesser of 10 percent of basis of the new natural gas powered motor vehicle or $4,000. The maximum aggregate amount that can be claimed by an individual manufacturer is $200 million.
Sec. 202 Additional vehicles qualifying for the advanced technology vehicles
manufacturing incentive program.
EISA 2007, Section 136 (42 USC 17013) contains the Advanced Technology Vehicle Loan Program administered by the Department of Energy’s Loan Programs Office. The Advanced Technology Vehicles Manufacturing (ATVM) Loan Program supports the development of innovative, advanced automotive technologies. The program emphasizes modifications to production facilities that are related to producing more fuel efficient vehicles. Currently, only one NGV manufacturer has been awarded a loan under this program. DOE has never issued definitive guidance concerning the ability of NGVs to qualify for this loan program. However, it appears that dedicated NGVs do qualify. To ensure that other NGV manufacturers qualify for this program, this section amends the statute so that the advanced technology vehicles specifically includes dedicated, bi-fuel and dual-fuel natural gas powered vehicles. The amendment also opens up this program to manufacturers of medium- or heavy-duty NGVs as well as bus manufacturers.
TITLE III—INCENTIVIZE THE INSTALLATION OF NATURAL GAS
FUEL PUMPS
Sec. 301 Extension and modification of alternative fuel vehicle refueling property
credit.
The tax credit for natural gas fueling infrastructure located in IRC 30C currently expires at the end of 2011. This bill extends the tax credit for qualified natural gas vehicle refueling property until the end of 2016.
Sec. 302 Increase in credit for certain alternative fuel vehicle refueling properties.
Under current law, IRC 30C, a taxpayer who acquires natural gas refueling property qualifies for an income tax credit equal to the lesser of $30,000 or 30% of cost of the property, or $1,000 for home refueling units. This bill increases the value of the tax credits so that new natural gas fueling equipment that is depreciable property would qualify for a tax credit equal to the lesser of $100,000 or 50% of the cost of the property, or $2,000 for fueling property that is acquired by a taxpayer but is not depreciable.
TITLE IV—NATURAL GAS VEHICLES
Sec. 401 Grants for natural gas vehicles research and development.
This section directs the Secretary of DOE to provide funding for RD&D to improve NGV performance and efficiency and to integrate natural gas engines into additional on-road vehicles.
Sec. 402 Sense of the Congress regarding EPA certification of NGV retrofit
kits.
In April 2011, the U.S. Environmental Protection Agency (EPA) published new regulations for aftermarket manufacturers of clean alternative fuel conversion systems. The purpose of the new rules is to alleviate some of the onerous burdens associated with certifying such systems and also to provide greater regulatory certainty with regard to the treatment of systems intended to be used on older vehicles and vehicles whose emission systems have exceeded their useful life. The rules are promising, but new so their impact as yet is not clear. Therefore, this bill expresses the desire that the EPA continue to review its regulations and the impact they have on alternative fuel aftermarket conversion systems in order to determine if additional changes are necessary.
Sec. 403 Amendment to section 508 of the Energy Policy Act of 1992.
The current federal law governing certain fleet acquisitions of alternative fueled vehicles (AFVs) requires that these AFVs be newly acquired in order to satisfy the acquisition credits. These requirements were first enacted as part of the Energy Policy Act of 1992 and are still in effect today. Under rules issued by the U.S. Department of Energy, state government fleets and covered alternative fuel providers must: 1) buy a brand new AFV; 2) purchase a used AFV from someone else; or 3) buy a vehicle and have it converted within four months of acquisition. The third option is too narrow and does not allow most conversions or repowering of older vehicles to earn credits or count against the program’s acquisition requirements. This is particularly problematic for repowering because fleets do not repower vehicles within four months of purchase. The bill therefore directs DOE to provide credits to state government fleets and covered fuel providers even if they convert or repower vehicles even if this does not occur within four months of acquiring the vehicle. The provision also directs DOE to issue similar rules with respect to conversions or repowers undertaken by federal government fleets.
TITLE V—TRANSIT SYSTEMS
Sec. 501 Federal share of costs for equipment for compliance with Clean Air Act.
Under current law, the federal share for transit bus purchases is 80 percent of the cost. However, federal law provides 90 percent of the net cost associated with complying with Clean Air Act requirements or the Americans with Disabilities Act. In order to further encourage such purchases and help local jurisdictions, this bill would amend federal law to provide that the federal cost share is 100 percent of the net (i.e., incremental) cost of acquiring new, clean fuel or alternative fuel buses for amounts not to exceed a net cost of $75,000. If the net cost is more than $75,000, the federal cost-share would remain at 90 percent.
Sec. 502 Natural gas transit infrastructure investment.
The bill includes a new program to encourage the development of natural gas fueling infrastructure for transit agencies. This program would assist transit agencies in installing natural gas fueling infrastructure or expanding existing natural gas fueling infrastructure, and would authorize funding of up to $100 million dollars to be competitively awarded by the Federal Transit Administration. In awarding grants under this program, the FTA shall take into consideration the amount of petroleum to be reduced by the project, the level of local financial support, and the technical and economical feasibility of the project.
TITLE VI—USER FEES
Sec. 601 User fees.
To offset the cost of this bill, this section would impose a new and time-limited user fee on the sale of liquefied natural gas and compressed natural gas sold for use as a motor vehicle fuel. The fee would be separate from the excise tax imposed on CNG and LNG. The fee schedule would be phased-in starting in 2014 and would run through 2021 after which time it would expire. The user fee will not apply to those who refuel at home. The fee schedule is as follows:
Nothing for 2012 and 2013;
2.5 cents for 2014 and 2015;
5 cents for 2016 and 2017;
10 cents for 2018 and 2019;
12.5 cents for 2020 and 2021;
Nothing for 2022 and thereafter.
# # #"
http://menendez.senate.gov/newsroom/press/release/?id=7b9a595a-7183-4cb6-8bc6-f4293e643c14,"Menendez, Lautenberg Announces $25,000 to Promote “Greening” and Environmental Sustainability in Newark
January 26, 2012
WASHINGTION – US Senators Robert Menendez (D-NJ) and Frank R. Lautenberg (D-NJ) today announced $25,000 in Environmental Protection Administration (EPA) environmental justice grants for the Ironbound Community Corporation to enhance a community garden and promote environmental education in the Ironbound section of Newark, NJ.
“Communities like Ironbound need access to environmental programs like this one: programs that help create a greener living environment and allow residents to improve their neighborhoods. With this funding, the Ironbound Community Corporation will be able to provide a space where children and adults can come together to help green their neighborhood and learn practices to help protect the environment for generations to come,” said Senator Menendez.
""This federal Environmental Protection Agency grant will help make Newark neighborhoods healthier and cleaner places to live and work,"" said Senator Lautenberg, Chairman of the Senate Environment and Public Works Subcommittee on Superfund, Toxics, and Environmental Health. ""Urban communities like the Ironbound are confronted with environmental challenges and I will continue fighting for federal resources to help reduce pollution in Newark and all our state’s cities.”
EPA has made it a priority focus on environmental programs in areas like Ironbound given the great number and wide range of pollutants that affect the neighborhood. With more than 50,000 residents, mostly of Hispanic or Portuguese background, Ironbound is one of the most densely populated, industrialized and diverse areas of the city. Poor air quality, pathogens and toxic pollutants that impact human health and water quality particularly affect the community. The Ironbound Community Corporation is the largest comprehensive social service provider in the area and this grant will support existing gardening efforts at the East Ferry Street Family Success Center and link all their greening and gardening activities to environmental education efforts. The organization also encourages civic participation and sustainability practices, and train community members on ways to address pollution.
More information on the Environmental Justice Small Grants program and a list of grantees:
http://www.epa.gov/compliance/environmentaljustice/grants/ej-smgrants.html
###"
http://menendez.senate.gov/newsroom/press/release/?id=c6c34775-b8f3-4623-a2b3-37862d01dcd4,"Menendez: Heartened to Hear Bonilla Sisters Are Recovering Well After Bone-Marrow Transplant
January 25, 2012
WASHINGTON – Five-year-old Yarelis Bonilla and her seven-year-old sister and donor, Gisselle, underwent bone marrow transplant surgery yesterday at the Hackensack University Medical Center. The operation comes after the Bonilla family finally overcame the bureaucratic obstacles that were in the way of Gisselle travelling to the United States from El Salvador where she resides with her grandmother. U.S. Senator Robert Menendez (D-NJ) helped the Bonilla family obtain Humanitarian Parole for Gisselle, enabling her to donate bone marrow to her sister. Both girls are said to be recovering well. Senator Robert Menendez issued the following statement:
“I am heartened to hear that Yarelis finally received the transplant she so desperately needed and that both she and her sister Gisselle are doing well,” said Menendez who spoke with the girls’ grandfather, Gertrudis, this afternoon. “It’s truly remarkable how brave these young sisters are. Their courage should be an inspiration to us all. My thoughts and prayers are with Yarelis, Gisselle and their loving family, who never wavered in their efforts to save young Yarelis’ life.”
###"
http://menendez.senate.gov/newsroom/press/release/?id=1a287d19-b52a-4dbb-955c-e485f17e6e00,"Senators Menendez, Rubio, and Bill Nelson Condemn Cuban Regime; Honor Cuban Dissident and Democracy Activist Wilman Villar Mendoza
January 25, 2012
WASHINGTON – United States Senators Robert Menendez (D-NJ), Marco Rubio (R-Fl), and Bill Nelson (D-Fl) introduced a Senate resolution today condemning the Cuban regime and honoring the life of Cuban dissident Wilman Villar Mendoza, who passed away in Cuban custody on January 19th following a 56-day hunger strike in the horrific Aguadores prison near Santiago de Cuba.
“The responsibility for Mr. Mendoza’s death rests squarely with the Castro brothers, whose regime has arrested more than 4000 activists last year alone and continues to repress the human rights of all Cubans,” said Menendez. “Wilman Villar Mendoza was merely exercising his freedom of expression when he was arrested, convicted in a sham trial that lasted an hour, and sentenced to 4 years in one of Cuba’s most inhumane prisons. Now the Cuban security forces are harassing his wife, a member of the Ladies in White, and are threatening to take away their children.” Menendez added, “The incredible sacrifice made by Mr. Mendoza on the behalf of all Cubans will never be forgotten. I urge the international community to speak out about the death of Mr. Mendoza and relentless abuses of human rights in Cuba”
Senator Rubio said, ""I join the Cuban people in mourning the death of Wilman Villar Mendoza, and I offer my condolences and prayers to his wife and children. The Cuban regime is a callous band of murderers that once again has blood on its hands for unjustly imprisoning this man and allowing him to die from a hunger strike. ""Once again, we are reminded of the unintended but negative consequences of this administration's loosened travel and remittance policies. They help deliver more hard currency to the Castro regime, making it easier for them to brutalize and even murder the Cuban people,"" Rubio stated.
“We should never forget Mr. Mendoza’s fight against tyranny,” said Senator Nelson. “And, we will continue to apply constant and unrelenting pressure until the Cuban people enjoy the freedom they deserve.”
The resolution in its entirety:
Title: Honoring the life of dissident and democracy activist Wilman Villar Mendoza and condemning the Castro regime for the death of Wilman Villar Mendoza.
Whereas, on Thursday, January 19, 2012, 31-year-old Cuban dissident Wilman Villar Mendoza died, following a 56-day hunger strike to highlight his arbitrary arrest and the repression of basic human and civil rights in Cuba by the Castro regime;
Whereas, on November 2, 2011, Wilman Villar Mendoza was detained by security forces of the Government of Cuba for participating in a peaceful demonstration in Cuba calling for greater political freedom and respect for human rights;
Whereas Wilman Villar Mendoza was sentenced to 4 years in prison after a hearing that lasted less than 1 hour and during which Wilman Villar Mendoza was neither represented by counsel nor given the opportunity to speak in his defense;
Whereas, on November 25, 2011, Wilman Villar Mendoza was placed in solitary confinement after initiating a hunger strike to protest his unjust trial and imprisonment;
Whereas Wilman Villar Mendoza was a member of the Unio1n Patrio1tica de Cuba, a dissident group the Cuban regime considers illegitimate because members express views critical of the regime;
Whereas security forces of the Government of Cuba have harassed Maritza Pelegrino Cabrales, the wife of Villar Mendoza and a member of the Ladies in White (Damas de Blanco), and have threatened to take away her children if she continues to work with the Ladies in White;
Whereas Human Rights Watch, which documented the case of Wilman Villar Mendoza, stated, “Arbitrary arrests, sham trials, inhumane imprisonment, and harassment of dissidents’ families—these are the tactics used to silence critics.”;
Whereas Amnesty International stated, “The responsibility for Wilman Villar Mendoza’s death in custody lies squarely with the Cuban authorities, who summarily judged and jailed him for exercising his right to freedom of expression.”;
Whereas Orlando Zapata Tamayo, another prisoner of conscience jailed after the “Black Spring” crackdown on opposition groups in March 2003, died in prison on February 23, 2010, after a 90-day hunger strike;
Whereas, according to the Cuban Commission on Human Rights, the unrelenting tyranny of the Castro regime has led to more than 4,000 political detentions and arrests in 2011; and
Whereas Cuba is a member of the United Nations Human Rights Council despite numerous documented violations of human rights every year in Cuba: Now, therefore, be it
Resolved, That the Senate—
(1) condemns the Cuban regime for the death of Wilman Villar Mendoza on January 19, 2011, following a hunger strike to protest his incarceration for participating in a peaceful protest and to highlight the plight of the Cuban people;
(2) condemns the repression of basic human and civil rights by the Castro regime in Cuba that resulted in more than 4,000 detentions and arrests of activists in 2011;
(3) honors the life of Wilman Villar Mendoza and his sacrifice on behalf of the cause of freedom in Cuba;
(4) extends condolences to Maritza Pelegrino Cabrales, the wife of Wilman Villar Mendoza, and their children;
(5) urges the United Nations Human Rights Council to suspend Cuba from its position on the Council;
(6) urges the General Assembly of the United Nations to vote to suspend the rights of membership of Cuba to the Human Rights Council;
(7) urges the international community to condemn the harassment and repression of peaceful activists by the Cuban regime; and
(8) calls on the governments of all democratic countries to insist on the release of all political prisoners and the cessation of violence, arbitrary arrests, and threats against peaceful demonstrators in Cuba, including threats against Maritza Pelegrino Cabrales and members of the Ladies in
gitextract_7whrqetw/
├── .gitignore
├── README.md
├── week-1/
│ ├── titanic.csv
│ ├── week-1-homework.ipynb
│ └── week-1.pptx
├── week-2/
│ ├── menendez-press-releases.csv
│ ├── state-of-the-union.csv
│ ├── uk-lords-votes.csv
│ ├── week-2-1-class.ipynb
│ ├── week-2-1-homework.ipynb
│ ├── week-2-1.pptx
│ ├── week-2-2-class-empty.ipynb
│ ├── week-2-2-class.ipynb
│ └── week-2-2-homework.ipynb
├── week-3/
│ ├── Simpson's Paradox.ipynb
│ ├── anes_timeseries_2016_rawdata.csv
│ ├── apib12tx.csv
│ ├── height-weight.csv
│ ├── tickets-warnings.csv
│ ├── titanic.csv
│ ├── week-3-1-class.ipynb
│ ├── week-3-1-homework.ipynb
│ ├── week-3-2-class.ipynb
│ ├── week-3-2-homework.ipynb
│ └── week-3.pptx
├── week-4/
│ ├── GSS-spending.csv
│ ├── Machine learning with Overview.ipynb
│ ├── bills.csv
│ ├── category-training.csv
│ ├── ontime_reports_may_2015_ny.csv
│ ├── titanic.csv
│ ├── week-4-1-supervised-learning-class-empty.ipynb
│ ├── week-4-1-supervised-learning-class.ipynb
│ ├── week-4-1-supervised-learning-homework.ipynb
│ ├── week-4-2-feature-selection-class.ipynb
│ ├── week-4-2-text-classification-homework.ipynb
│ └── wine.csv
├── week-5/
│ ├── LCDataDictionary.xlsx
│ ├── compas-scores-two-years-violent.csv
│ ├── compas-scores-two-years.csv
│ ├── kitchen-confusion-matrix.csv
│ ├── kitchen-confusion-matrix.ipynb
│ ├── lights-camera-algorithm-2.csv
│ ├── loan-subset.csv
│ ├── prepare-loan-data.py
│ ├── week-5-1-fairness-tradeoffs-homework.ipynb
│ ├── week-5-1-machine-bias-class-empty.ipynb
│ ├── week-5-1-machine-bias-class.ipynb
│ ├── week-5-1.pptx
│ ├── week-5-2-lending-class-empty.ipynb
│ ├── week-5-2-lending-class.ipynb
│ └── week-5-2.pptx
└── week-6/
├── README.md
├── Simple Polling Simulation.ipynb
├── data/
│ ├── 15-16-cycle-disbursements-to-trump-properties.csv
│ ├── 16-US-Pres-GE TrumpvClinton-poll-responses-clean.tsv
│ ├── AK.tsv
│ ├── AL.tsv
│ ├── AR.tsv
│ ├── AZ.tsv
│ ├── CA.tsv
│ ├── CO.tsv
│ ├── CT.tsv
│ ├── DE.tsv
│ ├── FL.tsv
│ ├── GA.tsv
│ ├── HI.tsv
│ ├── IA.tsv
│ ├── ID.tsv
│ ├── IL.tsv
│ ├── IN.tsv
│ ├── KS.tsv
│ ├── KY.tsv
│ ├── LA.tsv
│ ├── MA.tsv
│ ├── MD.tsv
│ ├── ME.tsv
│ ├── MI.tsv
│ ├── MN.tsv
│ ├── MO.tsv
│ ├── MS.tsv
│ ├── MT.tsv
│ ├── NC.tsv
│ ├── ND.tsv
│ ├── NE.tsv
│ ├── NH.tsv
│ ├── NJ.tsv
│ ├── NM.tsv
│ ├── NV.tsv
│ ├── NY.tsv
│ ├── OH.tsv
│ ├── OK.tsv
│ ├── OR.tsv
│ ├── PA.tsv
│ ├── RI.tsv
│ ├── SC.tsv
│ ├── SD.tsv
│ ├── TN.tsv
│ ├── TX.tsv
│ ├── US.tsv
│ ├── UT.tsv
│ ├── VA.tsv
│ ├── VT.tsv
│ ├── WA.tsv
│ ├── WI.tsv
│ ├── WV.tsv
│ ├── WY.tsv
│ ├── election-fundamentals.csv
│ └── states.csv
├── download-states.sh
├── stormy-daniels-payments-simulation.ipynb
├── week-6-1-election-prediction-empty.ipynb
├── week-6-1-election-prediction-homework.ipynb
├── week-6-1-election-prediction.ipynb
└── week-6-2-midwest-polling-errors-homework.ipynb
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Condensed preview — 115 files, each showing path, character count, and a content snippet. Download the .json file for the full structured content (25,869K chars).
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// ... and 10 more files (download for full content)
About this extraction
This page contains the full source code of the jstray/lede-algorithms GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 115 files (149.3 MB), approximately 6.2M tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.