The 2021 redistricting cycle will be extremely consequential, setting legislative and congressional boundaries for a decade, just as computing power and new data allow map-drawers to create sophisticated partisan gerrymanders, and the Supreme Court has stepped back from policing them.

We put together this site to analyze redistricting plans as states release them, in context. In context means we will employ cutting-edge redistricting simulation methodologies to create large numbers of alternative plans. This helps make better judgement about the quality of a proposed or finalized plan, by making comparisons to other plans which also respect municipal, state, and federal requirements for redistricting.

We rely entirely on open source tools and data, so that anyone (with a bit of R familiarity) can replicate the analysis and make changes to it.

We will attempt to cover as many state plans as we are able. This map summarizes the state of our current analyses.

Our analyses

About the Authors

Cory McCartan is a PhD Candidate in Statistics at Harvard University. He is the author of the R packages blockpop, wacolors, and adjustr.

Chris Kenny is a PhD Candidate in Government at Harvard University. He studies redistricting and Census policy-making. He is the author of the R packages geomander and ppmf.

The authors are members of the Algorithm Assisted Redistricting Methodology (ALARM) Project, and are coauthors of the R packages redist (with Ben Fifield and Kosuke Imai) and PL94171.


If you see mistakes or want to suggest changes, please create an issue on the source repository.