As of late October 2024, young voter registration is lagging across a number of states when compared to the number registered on Election Day 2020. However, voter registration in swing states Michigan and Nevada increased by over 11 percent among 18 to 29-year-olds.

This data collection contains voter registration and turnout surveys. The files contain summaries at state, town, and county levels. Each level of data include: total population, total voting-age population, total voter registration (excluding ND, WI), total ballots cast, total votes cast for president, and voter registration by party. Note: see the documentation for information on missing data.

Dave Leip's website

The Dave Leip website here: https://uselectionatlas.org/BOTTOM/store_data.php lists the available data. Files are occasionally updated by Dave Leip, and new versions are made available, but CCSS is not notified. If you suspect the file you want may be updated, please get in touch with CCSS. These files were last updated on 9 JUL 2024.

Note that file version numbers are those assigned to them by Dave Leip's Election Atlas. Please refer to the Data and Reproduction Archive Version number in your citations for the full dataset.

For additional information on file layout, etc. see https://uselectionatlas.org/BOTTOM/DOWNLOAD/spread_turnout.html.

Similar data may be available at https://www.electproject.org/election-data/voter-turnout-data dating back to 1787.

About Dataset

Sri Lanka Parliamentary Election Results 2024

This dataset offers a comprehensive collection of official results from the 2024 Parliamentary Elections in Sri Lanka, sourced directly from the Election Commission of Sri Lanka. It provides detailed voting statistics at both the district and polling division levels, capturing the complete electoral landscape of the country.

Dataset Files

1. All Divisions

   • Contains detailed vote counts for each polling division, including party-wise vote distributions, valid and rejected votes, and voter turnout percentages.

2. Symbols

   • Includes information on party symbols, useful for visualizing and identifying parties in election results and reports.

3. All Island Results Summary.csv

   • Aggregated nationwide statistics, such as:
     • Total valid votes
     • Rejected votes
     • Total polled voters
     • Registered electors
     • Percentage breakdowns for turnout and rejected votes.

4. All Island Results.csv

   • Detailed district-level results, providing:
     • Total valid votes, rejected votes, and voter turnout.
     • Party-wise performance and vote shares.

5. District_Divisions.csv

   • Maps districts to their respective polling divisions, making it easier to navigate and analyze regional data.

Potential Uses

Political and Electoral Analysis:

• Study voter turnout and trends across districts.
• Analyze the performance of political parties in different regions.
• Compare results with historical elections to identify patterns.

Machine Learning Applications:

• Develop predictive models for election outcomes.
• Visualize voter turnout trends and regional voting patterns.
• Build clustering models for party performance or voter demographics.

Non-Machine Learning Applications:

• Create heatmaps for voter turnout and party performance.
• Perform sociopolitical research by integrating additional demographic or economic data.
• Generate reports or infographics for media or public use.

Additional Information

• Data Format:
  The dataset is clean, structured, and presented in CSV format, making it user-friendly for analysis and integration with other tools.

• Insights and Trends:
  Explore how different regions participated in the election, analyze the distribution of valid and rejected votes, and evaluate party-wise performances.

This dataset is a valuable resource for political analysts, researchers, data scientists, and journalists. Whether for academic research, media reporting, or practical applications, this dataset provides a robust foundation to explore the intricacies of Sri Lanka's 2024 parliamentary elections.

Feel free to use this dataset to uncover unique patterns, trends, and narratives in the electoral landscape of Sri Lanka.

This dataset contains county-level returns for presidential elections from 2000 to 2024.

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.

Electoral registrations for parliamentary and local government elections as recorded in electoral registers for England, Wales, Scotland and Northern Ireland.

2024 Elections Fake News Dataset

This dataset is specifically curated to focus on fake news related to the 2024 elections, highlighting instances of racial slurs and discrimination in political speeches.

  Citation

Please cite this dataset in your research as follows: Link to the article @article{raza2024fakewatch, title={FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections}, author={Raza, Shaina and Khan, Tahniat and Chatrath, Veronica and… See the full description on the dataset page: https://huggingface.co/datasets/newsmediabias/fake_news_elections2024.

This dataset contains the 2024 Primary and General Election Official Results from the Maryland State and Local Offices, as well as Presidential election-related information and webpages.

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 dataset shows by day how many votes were cast early in person in each General Election from 2008 to 2024. The numbers show the running total for each election. To see how many voters voted on an individual day, subtract the previous days total to that day.

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.

This Dataset contains State, Lok Sabha Constituency, its reservation category and Political Party-wise EVM, Postal and Total Votes Polled in General Elections to Lok Sabha 2024

This dataset was utilized a join from enriched tables from ESRI which was curated from the 2020 Census from the United States Census Bureau, American Community Survey (ACS) and for voter precinct polygon dataset are from 2024 published by the Secretary of State. This layer has information for all voter precincts within Idaho regarding the total population for 2024. For more information on how the data is curated for the Enrich tool please go the link below. 2024/2029 Esri Updated Demographics

U.S. Presidential Election Constituency Returns (1976-2020)

  Dataset Summary

This dataset contains state-level constituency returns for U.S. presidential elections from 1976 to 2020, compiled by the MIT Election Data Science Lab. The dataset includes 4,287 observations across 15 variables, offering detailed insights into the voting patterns for presidential elections over four decades. The data sources include the biennially published document “Statistics of the… See the full description on the dataset page: https://huggingface.co/datasets/fdaudens/us-presidential-elections.

Election Night precinct level results for the November 5, 2024 General Election in King County, WA.

This dataset contains Voter Counts by Precinct and political parties from 1/1/2024 and on.

Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%. Margins of error are estimated at the 90% confidence level.

Data Source: Current Population Survey (CPS) Voting Supplement, 2020

Why This Matters

Voting is one of the primary ways residents can have their voices heard by the government. By voting for elected officials and on ballot initiatives, residents help decide the future of their community.

For much of our nation’s history, non-white residents were explicitly prohibited from voting or discriminated against in the voting process. It was not until the Voting Rights Act of 1965 that the Federal Government enacted voting rights protections for Black voters and voters of color.

Nationally, BIPOC citizens and especially Hispanic and Asian citizens have consistently lower voter turnout rates and voter registration rates. While local DC efforts have been taken to remove these barriers, restrictive voter ID requirements and the disenfranchisement of incarcerated and returning residents act as institutionally racist barriers to voting in many jurisdictions.

The District's Response

The DC Board of Elections has lowered the barriers to participate in local elections through online voter registration, same day registration, voting by mail, and non-ID proof of residence.

Unlike in many states, incarcerated and returning residents in D.C. never lose the right to vote. Since 2024, DC has also extended the right to vote in local elections to residents of the District who are not citizens of the U.S.

Although DC residents pay federal taxes and can vote in the presidential election, the District does not have full representation in Congress. Efforts to advocate for DC statehood aim to remedy this.

The table MO-Voter-History-2025-07-30 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4134384 rows across 884 variables.

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for 2024.

Quantum Computing QA Dataset

Question-Answer dataset for us-elections-2024

  Usage

from datasets import load_dataset

dataset = load_dataset("darkB/us-elections-2024-qa-dataset")

  Example Data

Sample data point:

{ "text": "[INST] What year did Scott Garrett first become an elected official? [/INST] Scott Garrett became an elected official in 2013.", "article_title": "2024 United States House of Representatives elections", "chunk_id": "2024 United… See the full description on the dataset page: https://huggingface.co/datasets/darkB/us-elections-2024-qa-dataset.