We have all the redistricting data you can use to draw or analyze Community of Interest or District maps
Our data is open to the public and ready to use!
Access Our Data
Create a free account and download individual datasets or register as an API user and download multiple datasets at once
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Stay up to date on data releases, training opportunities and how to get involved in the redistricting process in your stateSign Up
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If you need help using our data to draw District and Community of Interest maps we have resources to support you.
Our help desk team can answer your questions about redistricting data and the redistricting process. Send us a message and they will respond within one business day!
We host trainings that cover how to get involved in the redistricting process, introductions to the data, and mapping tool demonstrations. View recordings of previous events and sign up to be notified of upcoming training sessions.
Articles and Guides
Our support team wrote articles answering the most frequently asked questions about redistricting data, knowledge, and tools; including answers about how to set up an account and how to participate in a training.
The About Our Data section of our site includes in depth articles about Census Data, Projections, Voter Files and Precinct Boundaries and Election Results as well as a list of all the types of data we host.
The Redistricting Readiness Checklist includes helpful references about redistricting in each state, and lists helpful things to know to get you started.
Pl 94-171 Resources
Tabulated data for the PL 94-171 is available to download for free when you register for an account. In addition to tabulating the data, our team merged the census data with geographic information, so that it is ready to use in standard mapping softwares.
The PL 94-171 dataset is the Redistricting Data File created by the U.S. Census Bureau for use by the states in redistricting based on the decennial census. Read more about the PL file►
There are states that have a requirement for modifying the PL 94-171 data prior to redistricting, we maintain a references to those states’ constitutions, statutes, or other rules governing redistricting. See all modifying states►
Who We Are
The nonpartisan Redistricting Data Hub was founded by experts with backgrounds in pioneering redistricting legal cases, the establishment of independent redistricting commissions, and related ballot initiatives in Florida, Arizona and other states. We believe an effective democracy requires fair representation. Our goal is to provide individuals, civic organizations, and good government groups the data, tools, and knowledge to participate effectively in redistricting processes by learning how to define their communities, provide meaningful public input, recognize gerrymandering, and advocate for fair and legal maps. Read more ►
We are committed to nonpartisanship and ending gerrymandering in all forms
Join us in our fight for fair and representative maps
There is a lot of work to be done to support the public, civil rights and good government groups in their fight against gerrymandering and for fair and representative maps.
We are always on the lookout for great talent. We are especially interested if you have experience in redistricting, data analytics, creating educational content, graphic design, or help desk organizing.
We work with different groups to help us figure out what data is needed, gather it and validate it for you to use. We also support community, civil rights and good government groups in their efforts to fight gerrymandering in all forms and make fair and representative maps.
The Partner Data Validation project is an ongoing effort by our Data Analysts to peer-review the files we re-host from our Data Partners, who have taken on the task of collecting and making Precinct Boundaries joined with Election Results publicly available for redistricting. In looking at the data being collected, the RDH has identified six criteria which we believe encompass most issues that may arise with these data. For each state and data partner, the report that we are writing describes in detail what we found for each of these criteria.
We do this because data is critical to court cases. Finding an error that could discredit the dataset can be debilitating and lead to the failure of an argument or defense in court. Additionally, the reports created highlight the benefits and draw-backs of a given partner dataset.
We use Python and the SciPy ecosystem (NumPy, Pandas, GeoPandas, MatPlotLib) to carry out the majority of our validation work. At a high level, our process begins by locating Election Results and Precinct Boundaries datasets, cleaning and merging Election Results to Precinct Boundaries, and then comparing the resulting file to the equivalent files produced by our Data Partners.
Our API script is available on our GitHub, in order for the script to retrieve data you must be a designated API user. Request access to our API ►
For more information about our processes and to view our source code, visit our GitHub