The Washington Post (2018)
Sam Wang and Jonathan Cervas are quoted.
Raleigh News & Observer (2019)
The New York Times (2015)
The Atlantic (2019)
The New York Times (2018)
The New York Times (2013)
The New York Times (2019)
The American Prospect (2017)
Jason Rhode and Sandra Chen are quoted.
The Atlantic (2018)
The American Prospect (2018)
Richmond Times-Dispatch (2020)
The Los Angeles Times (2017)
The American Prospect (2018)
Data & Code (PGP)
A collaborative project to collect precinct geographies and election data from across all 50 states, D.C., and the five U.S. territories, to empower citizens in advance of the 2021 redistricting.
Run the three gerrymandering tests presented on this site, and replicate the analyses reported in Three Tests for Practical Evaluation of Partisan Gerrymandering.
Contains relevant precinct-level results and a demonstrative map for undoing the racially gerrymandered districts in the southeastern corner of Virginia. More detail at our GitHub repository.
Run the three gerrymandering tests presented on this site, as well as several other common gerrymandering metrics.
A loose collection of utilities for various geoprocessing operations that are common in the study of redistricting. Work in progress.
Contains the results of over 80,000 single-member state legislative election from 1971 to 2016.
Cleaned results of each Congressional election from 1948 to 2016.
A community of interest mapping tool created by a team of Princeton undergraduates with help from PGP.
A 2017 report by the Brennan Center on the district maps produced in the 2011 redistricting cycle.
A free-to-use, public software for drawing and analyzing state legislative and congressional district plans.
A free-to-use, public software created by the Metric Geometry and Gerrymandering Group for drawing state legislative and congressional district plans as well as communities.
A tracker updated by the Brennan Center.
A comprehensive analysis by the Brennan Center of how possible census delays will affect redistricting in 2020.
Visualize the efficiency gap across time, and upload custom district plans for analysis.
Stanford Law Review (2016)
An Antidote for Gobbledygook: Organizing the Judge's Partisan Gerrymandering Toolkit into a Two-Part Framework
Election Law Journal (2018). See also our associated post at the Harvard Law Review Blog.
Eastern District of Virginia, 2018
Univ. of Penn., 22 J. of Const. Law 203 (2019)
Monmouth University Polling Institute
Response to Cho and Liu, “Sampling from complicated and unknown distributions: Monte Carlo and Markov chain Monte Carlo methods for redistricting.”
Physica A (2018)
Supreme Court of the United States, 2019
Election Law Journal (2016)
Supreme Court of the United States, 2017
Supreme Court of the United States, 2015
Data & Code (Non-PGP)
Carl Klarner's collection of state legislature elections from 1967–2016.
Daily Kos Elections maintains an archive of useful data on recent elections, including presidential election results by Congressional and State Legislative district, district maps, demographic information, and much more.
An open-source effort to collect precinct-level geographic shapefiles.
C++ code by Wes Pegden et al. to sample among many similar district maps in order to determine if a map is highly unusual.
An open-source effort to collect precinct-level election results.