According to exit polling in ten key states of the 2024 presidential election in the United States, Donald Trump received the most support from white voters between the ages of ** and **. In comparison, ** percent of Black voters between the ages of ** and ** reported voting for Kamala Harris.

According to exit polling in ten key states of the 2024 presidential election in the United States, ** percent of surveyed white voters reported voting for Donald Trump. In contrast, ** percent of Black voters reported voting for Kamala Harris.

The table IN-Demographic-2025-07-03 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4433072 rows across 698 variables.

According to results on November 6, 2024, former President Donald Trump had received *** Electoral College votes in the race to become the next President of the United States, securing him the presidency. With all states counted, Trump received a total of *** electoral votes. Candidates need *** votes to become the next President of the United States.

The table ME-Demographic-2025-07-14 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 1109356 rows across 698 variables.

According to exit polling in ten key states of the 2024 presidential election in the United States, Donald Trump received the most support from men between the ages of ** and **. In comparison, ** percent of women between the ages of ** and ** reported voting for Kamala Harris.

Abstract

The L2 Voter and Demographic Dataset includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.

Methodology

To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.

Usage

For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the LALVOTERIDvariable. One can also use the LALVOTERIDvariable to link the L2 Voter and Demographic Dataset with the L2 Consumer Dataset.

In addition, the LALVOTERIDvariable can be used to validate the state. For example, let's look at the LALVOTERID = LALCA3169443. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the RESIDENCE_ADDRESSES_STATEvariable, which should have a value of 'CA' (California).

The date appended to each table name represents when the data was last updated. These dates will differ state by state because states update their voter files at different cadences.

The demographic files use 698 consistent variables. For more information about these variables, see 2025-01-10-VM2-File-Layout.xlsx.

The voter history files have different variables depending on the state. The ***2025-08-05-L2-Voter-Dictionaries.tar.gz file contains .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should mirror the 2025-01-10-VM2-File-Layout.xlsx*** file, the voter file data dictionaries will be unique to each state.

***2025-04-24-National-File-Notes.pdf ***contains L2 Voter and Demographic Dataset ("National File") release notes from 2018 to 2025.

***2025-08-05-L2-Voter-Fill-Rate.tar.gz ***contains .tab files tracking the percent of non-null values for any given field.

Bulk Data Access

Data access is required to view this section.

DataMapping Tool

Data access is required to view this section.

According to exit polling in *** key states of the 2024 presidential election in the United States, almost ********** of voters who had never attended college reported voting for Donald Trump. In comparison, a similar share of voters with ******** degrees reported voting for Kamala Harris.

The table AZ-Demographic-2025-08-01 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4428765 rows across 698 variables.

During the weeks leading up to the presidential election, early voting began in almost all states, with over ** million ballots being cast nationally as of Election Day. Although ** percent of mail-in and early in-person votes were cast by voters aged 65 or older, ** percent of those aged 18 to 29 years old voted early.

The table OR-Demographic-2025-07-02 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 3398746 rows across 698 variables.

According to post-election polling, Minnesota had the highest voter turnout among residents between 18 and 29 years old, with 62 percent voting in the 2024 presidential election. In comparison, Oklahoma and Arkansas saw the lowest youth voter turnout, with 33 percent voting in the presidential election.

The table AK-Demographic-2025-06-26 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 579388 rows across 698 variables.

In 2024, 80.5 percent of people aged between 65 and 74 years old were registered to vote in the United States - the highest share of any age group. In comparison, 58.3 percent of 18 to 24 year-olds were registered to vote in that year.

According to exit polling in ten key states of the 2024 presidential election in the United States, ** percent of voters with a 2023 household income of ****** U.S. dollars or less reported voting for Donald Trump. In comparison, ** percent of voters with a total family income of 100,000 to ******* U.S. dollars reported voting for Kamala Harris.

The table UT-Demographic-2025-06-20 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 1653779 rows across 698 variables.

2024 Primary & General Elections VTDs Voting Tabulation Districts (VTDs), the census geographic equivalent of county election precincts, are created for the purpose of relating 2020 Census population data to election precinct data. VTDs can differ from actual election precincts because precincts do not always follow census geography. The VTDs currently included in the redistricting database closely correspond to the precincts in effect for the 2024 primary and general elections. On the occasion that a precinct is in two noncontiguous pieces, it is a suffixed VTD in the database. For example, if precinct 0001 had two non-contiguous areas, the corresponding VTD would be VTD 0001A and VTD 0001B. If an election precinct does not match any census geography, it is consolidated with an adjacent precinct and given that precinct's corresponding VTD number. There are 9,712 VTDs in the 2024 primary & general elections VTDs shapefile. GIS users can join the council's redistricting election datasets to the 2024 primary & general elections VTDs shapefile in this directory. Use the common field name 'VTDKEY' to join the data. GIS users can join 2020 Census population data (VTDs_24PG_Pop.zip) to the 2024 primary & general elections VTDs shapefile in this directory. Use the common field name 'VTDKEY' to join the data. The VTDs shapefile (.shp) is in a compressed file (.zip) format: VTDs_24PG.zip - 2024 Primary & General Elections VTDs CNTY (num) - County FIPS Census code COLOR (num) - Color assignment for symbology VTD (txt) - VTD name (2024 general election) CNTYKEY (num) - Unique code used to join to geographic data VTDKEY (num) - Unique code used to join to geographic data CNTYVTD (txt) - Unique code used to join geographic data (CNTYKEY + VTD) The population data file contains the 2020 Census population by VTD as comma-separated values: VTDs_24PG_Pop.zip (.txt file in compressed format) - 2024 primary & general elections VTD, 2020 Census population CountyFIPS (txt) - County FIPS Census Code County (txt) - County name CNTY (num) - County FIPS Census Code VTD (txt) - VTD name (2024 general election) CNTYVTD (txt) - Unique code used to join geographic data (CNTY + VTD) VTDKEY (num) - Unique code used to join to geographic data total (num) - Total Population

This project crosses the results of the 2024 European elections with INSEE demographic data at IRIS level (2020), for the whole of metropolitan France.

This join is done geographically, thanks to the reconstruction of the geometry of the polling stations produced by this other project

The aim is to allow for fine-grained demographic statistics on recent political trends.

Github depot: https://github.com/raphaeljolivet/eu2024-stats-iris

The table CO-Demographic-2025-08-01 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4022482 rows across 698 variables.

According to exit polls for the 2024 New Hampshire Republican primary, former President Donald Trump led the way among 59 percent of male voters. The vote was split more evenly among female voters, with Trump receiving 51 percent of the vote, and former South Carolina Governor Nikki Haley receiving 47 percent of the vote. Florida Governor Ron DeSantis remained on the ballot despite dropping out of the race just days prior to the New Hampshire primaries.