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Revised and published: The use of differential privacy for census data and its impact on redistricting

A new postscript analyzes the final version of the U.S. Census Bureau's Disclosure Avoidance System.

2020 Redistricting Data Files

Census and election data joined together for use in redistricting and voting rights analysis.

Revised: Impact of the Census Disclosure Avoidance System

We are releasing an updated version of our analysis of the U.S. Census' privacy protection system and its impacts on the redistricting process.

Reaction to the Census Bureau's Updated Parameters

The Data Stewardship Executive Policy Committee announces a higher privacy loss budget and other changes to the Disclosure Avoidance System.

FAQ: Impact of the Census Disclosure Avoidance System

Answers to common questions about our recently-released report evaluating the Census' Disclosure Avoidance System.

Impact of the Census Disclosure Avoidance System on Redistricting

In attempting to protect the privacy of 2020 Census respondents, the Census Bureau has made its data unsuitable for redistricting purposes.

redist 3.0

A major release brings new algorithms, new workflows, and significant usability improvements.

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Posts

Developing methodology and tools to analyze legislative redistricting.

2020 Redistricting Data Files

Precinct-level demographic and election data from the 2020 decennial census and the Voting and Election Science Team which have been tidied and joined together using 2020 precinct boundaries.

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The Algorithm-Assisted Redistricting Methodology (ALARM) Project is a research team at Harvard University led by Kosuke Imai. It conducts research into redistricting sampling algorithms, best practices and workflows for redistricting analysis, and tools to visualize, explore, and understand redistricting plans.

redist: Simulation Methods for Legislative Redistricting

Enables researchers to sample redistricting plans from a pre-specified target distribution using state-of-the-art algorithms. Implements a wide variety constraints in the redistricting process, such as geographic compactness and population parity requirements. Tools for analysis such as computation of various summary statistics and plotting functionality are also included.

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