I have aggregated some data from test magic regarding admissions results from applicants from past years. I've sorted the data by school.

You may be interested in preliminary results for 2009, which is here

Here is the list of schools for which a page exists:

Harvard Chicago MIT Berkeley Princeton Stanford Northwestern Pennsylvania Yale NYU California - Los Angeles London School of Economics Columbia Wisconsin Cornell Michigan Maryland Toulouse I Texas U British Columbia	U California - San Diego Rochester Ohio State Tilburg U Illinois Boston U Brown U U California - Davis U Minnesota Tel Aviv U Oxford U U Southern California Michigan State U Warwick U Duke U U Toronto U Amsterdam Penn State U U Cambridge Carnegie Mellon U	U North Carolina Boston College California Institute of Technology (Caltech) Texas A&M European U Institute U Carlos III Madrid University College London Essex Indiana Hebrew U Johns Hopkins Rutgers Virginia Vanderbilt Georgetown Arizona State Arizona Dartmouth Stockholm U U Washington
Queen's U Iowa State U Washington U St Louis U Montreal U York U Pompeu Fabra Purdue U U Nottingham Hong Kong U Science & Technology (HKUST) U Pittsburgh Stockholm School of Economics U Iowa Erasmus U Rotterdam U Copenhagen Rice U Catholic U Louvain U California - Irvine U Florida U Autonoma Barcelona Free U Amsterdam (Vrije U)	U Bonnn Syracuse U U California - Santa Barbara Australian National U Chinese U Hong Kong U Melbourne U Colorado - Boulder Maastricht U Humboldt U Berlin North Carolina State U Queen Mary & Westfield College Southern Methodist U U Paris I (Pantheon-Sorbonne) U Mannheim Virginia Tech U Southampton Ecole National Ponts & Chaussees U California - Santa Cruz U Zurich U Vienna	U Bocconi U Oslo U Western Ontario Indian Statistical Institute - New Delhi London Business School INSEAD U Kentucky Birkbeck College George Washington U U Bristol U Georgia U Manchester U Leicester U Notre Dame U Munich (Ludwig-Maximilians-U) Simon Fraser U U Illinois - Chicago U Oregon Academia Sinica York U Toronto
U Houston Bar-Ilan U Osaka U U New South Wales Emory U U Helsinki U Laval Tufts U Georgia State U Ben-Gurion U McGill U U Alicante George Mason U Free U Brussels (U Libre) Israel Institute of Technology (Technion) U Tokyo U Wyoming U Hong Kong KU Leuven Uppsala U	Ecole Polytechnique National U Singapore U Cergy-Pontoise U Edinburgh Monash U U Quebec U Aarhus Carleton U U Glasgow SUNY - Albany Claremont Delaware Texas - Dallas Florida State Colorado State Tinbergen CEMFI Oregon State SUNY - Binghamton

Please message me on TM (username: untitled) or email me (address below) if there are any schools you want to see added.I no longer strip usernames from the data; please, let me know with a message from your username if you wish to opt out or have your username removed. Thanks.

I am interested in addressing other questions which involve a more "one-off" analysis. Visit the other analyses page to see the type of questions and answers I have. Feel free to pm me if you have additional questions you would like me to consider.

You may ask, "What are we to learn from this?" Maybe nothing is my first answer, of course. From what I've heard, Letters of Recommendation and math courses are the most important when it comes to admissions. Two things stick out to me so far.

One, there are not many applications sent from students with low GPAs and GRE scores to the very top schools. When we think of the process as: school gets 800 applications, throws out 600 because GREQ is less than 790, and then finds my gem from what is left, we might be making a mistake, there might be very few applicants to top schools with less than stellar GREQ scores. Then again, I could be wrong.

Second, and I haven't done enough to see if this is the case, there may be some schools where a hard dividing line is apparent, with no acceptances with GRE's or GPA's below some score. A hard line might imply, for instance, that a school doesn't spend much time looking at applications (committee too small?), but it might also mean that we as applicants can have more confidence when choosing certain schools as safeties.

I really hope that the "what we learn" aspect is taken seriously, and I do hope to get feedback through email, messaging, or whatever if you think there are any important patterns. One thing, tm application data doesn't mean we have much data for any particular school. We don't have any idea what a non-TM using applicant looks like. International applicants are under-represented here, as well (as a result, the data on European schools is scant, too). Also, this is only reported data, and might have been embellished!

By the way, this is just for fun, so if you have non-essential HTML or perl concerns, I probably won't bother fixing it. If you have anything serious (and nothing about this is really that serious), of course I'll do my best to accommodate them. Also, if you are an admissions committee member who is especially impressed by my perl and html skills (::wink:: actually, anyone for any reason), you may email me at tm(tod)untitled(-at symbol-)yahoo(tod)com. Use email only if you wish to get the code (actually, I'll post it here if/when it is cleaned up) or to talk to me personally as TM-messaging isn't a great format for longer discussions. I'd prefer TM for short messages and requests. I do have a full time job (two if you count... well, never mind, but TM makes it three), so if I take more than a couple days to respond, I won't be angry if you resend something if you promise note to be angry if my response isn't what you want to hear.

Here is my todo list. I expect to do these never, or maybe sometime over the summer, or maybe as soon as over then next couple months. If you really want me to do it, let me know and I might feel motivated:

• create who am i application.
• cross tabs by demand (if possible).
• network of schools by similarity.

Here are some things I have recently finished

• Tighten code and post it to the sight. All the code is in the directory. There are three important perl scripts, a csv file, and two html files with forum in their name. These files control everything. If I cannot be contacted and someone wants to take over this work, the files are fairly simple and have some comments so that they should be useable. See rights section below for more.
• I have edited code so that it can read 2007 and 2008 data. In April I will try to add 2009 data.
• Law School Numbers, my inspiration, uses the nifty fusion charts. This has been implimented.
• There is now a subpage called analyses.html which contains some seperate analyses of the data.

Last Updated: February 2, 2009