Charles Stewart's Congressional Data Page
The purpose of this page is to begin accumulating hyperlinks in one place to various sites around the country that house data relevant to studies of Congress, legislatures in general, and all the rest. My preference is to link to (more or less) ready-to-use data sites. Of course, no warranties are made, implied or explicit, about this data. Your mileage may vary.
The data to which this page points have been collected through the work of many, many dedicated people working many, many hours. Their being made available here is one provision of a public good. Please let the original data collectors know you're using their work. Also, please cite the data as the authors wish to be cited.
Congressional Committees, Historical Standing Committees
Collectors: Garrison Nelson (Vermont)
Contact: Charles Stewart III (MIT)
Preferred citation style: Garrison Nelson, Committees in the U.S. Congress, 1947-1992, [Chamber/Congresses], [date of data file].
Description: Records membership on all congressional committees from the 80th to 102nd Congresses. Data file that corresponds with the hard copy version of Nelson's two-volume set Committees in the U.S. Congress, 1947-1992, CQ Press. Corrections of the data set to Charles Stewart at MIT. Note: the House committee data set for the 96th-102nd Congress Congress is in the same format as the data set below that starts with the 103rd Congress.
Important note: The data file is made available "as is."
Congressional Committees, Historical Standing Committees
Collectors: David Canon (Wisconsin), Garrison Nelson (Vermont), Charles Stewart III (MIT)
Contact: Stewart
Preferred citation style: David Canon, Garrison Nelson, and Charles Stewart. Historical Congressional Standing Committees, 1st to 79th Congresses, 1789-1947: [Chamber/Congresses], [date of data file].
Description: Records membership on all congressional standing
committees up to the Legislative Reorganization Act of 1946. Data set
still in progress. Please direct corrections of the data set to Charles
Stewart at MIT
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Chamber |
Congresses |
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House |
1-37 |
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House |
38-79 |
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Senate |
1-48 |
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Senate |
49-79 |
Congressional Committees, Modern Standing Committees, 103rd--115th Congresses (updated to November 17, 2017)
Collectors: Charles Stewart III and Jonathan Woon (MIT)
Contact: Stewart
Preferred citation style: Charles Stewart III and Jonathan Woon. Congressional Committee Assignments, 103rd to 114th Congresses, 1993--2017: [Chamber], [date of data file].
Description: Records membership on all congressional committees for the periods covered in the study.
Data set is updated periodically from the Congressional Record.
Please report errors to Charles Stewart.
Note: The data are made available for academic use, but may not be used commercially.
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House Committee Assignment Data, updated 11/17/2017 (Excel File) |
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House Membership Data, updated 8/15/2017 (Excel file) |
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Senate Committee Assignment Data, updated 11/17/2017 (Excel file) |
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Senate Membership Data, updated 8/15/2017 (Excel file) |
Candidate Quality and U.S. Senate Election Data
Collector: David Lublin (American University)
Contact: David Lublin
Preferred citation style: David Lublin. 1994. "Candidate Quality and U.S. Senate Election Data," American University, Washington, D.C.
Description: This data set contains all the data necessary to replicate the results from hisarticle, "Quality, Not Quantity: Strategic Politicians in U.S. Senate Elections, 1952-1990," Journal of Politics, Vol. 56, No. 1 (February 1994).
Congressional District Demographic and Political Data
Collector: David Lublin (American University)
Contact: David Lublin
Preferred citation style: David Lublin. 1997. "Congressional District Demographic and Political Data," American University, Washington, D.C.
Description: This data set contains all the data necessary to replicate the results from his book, The Paradox of Representation: Racial Gerrymandering and Minority Interests in Congress (Princeton University Press 1997). One could also replicate the results from "The Election of African Americans and Latinos to the U.S. House of Representatives, 1972-1994" American Politics Quarterly (July 1997). More generally, this data set contains demographic and political data for congressional districts utilized from 1962 through 1994. Thanks to Keith Poole and Gary King for providing some of the data contained within this data set.
Collector: Stephen Ansolabehere, James M. Snyder, and Charles Stewart III
Contact: James Snyder
Preferred citation style: Acknowledge James Snyder.
Description: This data set contains estimated left-right candidate coordinates necessary to replicate the analysis in Ansolabehere, Snyder, and Stewart, "Candidate Positioning in U.S. House Elections," American Journal of Political Science 45(1): 136-159. See the article for details. The data fields are state (postal code), district, name, party (1=dem, 2=rep), location, imputed location.
Download the STATA data set or a raw text file
Collector: David Lublin (American University)
Contact: David Lublin
Preferred citation style: David Lublin. 2001. "Federal Elections Project ," American University, Washington, D.C.
Description: The central goal of the Federal Elections Project is to mesh the 2000 U.S. federal election results at the precinct level with the demographic data from the 2000 U.S. Census. Sponsored by the National Science Foundation and in partnership with the Center for Congressional and Presidential Studies , David Lublin of American University and D. Stephen Voss of the University of Kentucky will gather data for all federal elections, specifically for president and vice president, senator, and representative. Although the focus is on federal offices, the data set will also include results from the eleven states holding gubernatorial elections in 2000.
Visit the web site.
House and Senate Party Voting Scores
Collector: Garry Young
Contact: Joseph Cooper
Preferred citation style: Cite the Cooper web page.
Description: Aggregate congressional roll call scores, 1862-2001.
Visit Joseph Cooper's data page to retrieve the data