Skip to Main Content

L2 Political Academic Voter File

Access instructions to L2 Political voter data at New York University

Data Services

NYU Data Services: NYU Libraries and Information Technology logo.




For assistance, reach out by chat below or submit a request

We can be reached by email at

Join our Discord server

If you've met with us before, tell us how we're doing

Service Desk and Chat

 Bobst Library, 5th floor

 Staffed Hours: Fall 2023
     Mondays:     12pm - 5pm
   Tuesdays:    12pm - 5pm
   Wednesdays:  12pm - 5pm
   Thursdays:   12pm - 5pm
   Fridays:     12pm - 5pm

chat loading...

L2 Political Academic Voter File

logo of L2 VoterMapping

NYU Libraries has licensed access to the L2 Political Academic Voter File. The file is a continuously updated database of every registered voter in the United States and includes basic socio-demographic indicators (some of which are modeled), consumer preferences, political party affiliation, voting history, and more. NYU's access to L2 Political includes four variations:

  1. VoterMapping interface
  2. Complete Raw Data files
  3. Historical Processed & Raw Data files
  4. Derived Samples & Extracts

L2 Data Products

VoterMapping Map Query Interface

The VoterMapping Interface allows users to navigate an area via a map and select data extracts of the most current version of the L2 Political processed data file.

Complete Raw Data Files

Users can apply to access the entire set of voter data, which includes almost 300 million individual cases. The files are updated on a semi-annual basis (although more frequent updates may be available depending on research needs).

Historical Processed and Raw Data Files

NYU has also licensed access to L2 Political historical backlog of data. This backlog includes versions of the L2 Processed voter file going back to 2008 (for most U.S. states) and unprocessed "raw" state voter rolls, also going back to 2008 for most U.S. states.

Derived Samples and Subsets

Because the L2 Voter File contains personally identifying information, the NYU Data Services team has worked to produce subsets and derived versions of the data for a broader research use with PID removed. For example, see the random sample of voters in New York State in NYU's Spatial Data Repository.