The current dataset captures voter registration counts and voter 'turnout', or the percentage of registered voters who voted in each election, since 2015. The data is aggregated at various levels including the political precinct (division), political ward, and city-wide and shows results for different elections (primary, general, special). Historical releases of this data prior to 2015 were separate datasets, one for voter turnout and one for voter registration.

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.

This table contains data on the percent of adults (18 years or older) who are registered voters and the percent of adults who voted in general elections, for California, its regions, counties, cities/towns, and census tracts. Data is from the Statewide Database, University of California Berkeley Law, and the California Secretary of State, Elections Division. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Political participation can be associated with the health of a community through two possible mechanisms: through the implementation of social policies or as an indirect measure of social capital. Disparities in political participation across socioeconomic groups can influence political outcomes and the resulting policies could have an impact on the opportunities available to the poor to live a healthy life. Lower representation of poorer voters could result in reductions of social programs aimed toward supporting disadvantaged groups. Although there is no direct evidentiary connection between voter registration or participation and health, there is evidence that populations with higher levels of political participation also have greater social capital. Social capital is defined as resources accessed by individuals or groups through social networks that provide a mutual benefit. Several studies have shown a positive association between social capital and lower mortality rates, and higher self- assessed health ratings. There is also evidence of a cycle where lower levels of political participation are associated with poor self-reported health, and poor self-reported health hinders political participation. More information about the data table and a data dictionary can be found in the About/Attachments section.

This table contains data on the percent of adults (18 years or older) who are registered voters and the percent of adults who voted in general elections, for California, its regions, counties, cities/towns, and census tracts. Data is from the Statewide Database, University of California Berkeley Law, and the California Secretary of State, Elections Division. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Political participation can be associated with the health of a community through two possible mechanisms: through the implementation of social policies or as an indirect measure of social capital. Disparities in political participation across socioeconomic groups can influence political outcomes and the resulting policies could have an impact on the opportunities available to the poor to live a healthy life. Lower representation of poorer voters could result in reductions of social programs aimed toward supporting disadvantaged groups. Although there is no direct evidentiary connection between voter registration or participation and health, there is evidence that populations with higher levels of political participation also have greater social capital. Social capital is defined as resources accessed by individuals or groups through social networks that provide a mutual benefit. Several studies have shown a positive association between social capital and lower mortality rates, and higher self- assessed health ratings. There is also evidence of a cycle where lower levels of political participation are associated with poor self-reported health, and poor self-reported health hinders political participation. More information about the data table and a data dictionary can be found in the About/Attachments section.

Analysis of ‘Agency Voter Registration Activity’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/998f045b-4270-4800-92aa-1434e6f98550 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Section 1057-a of the New York City Charter requires certain agencies to engage in and report on voter registration activities. This dataset captures how many voter registration applications each agency has distributed, how many applications agency staff sent to the Board of Elections, how many staff each agency trained to distribute voter registration applications, whether or not the agency hosts a link to voting.nyc on its website and if so, how many clicks that link received during the reporting period. Some agencies distribute voter registration applications during the course of a direct interaction with a member of the public and other agencies distribute applications passively, such as making the applications available in waiting rooms. This makes it difficult in some cases to ascertain the exact number of voter registration forms distributed. Applications sent to the Board of Elections only captures those sent by agency staff. Individuals may also choose to send in the application themselves. These applications are not counted towards the total number of applications sent to the Board of Elections. Data is reported by agencies to the Mayor’s Office of Operations twice a year. The first reporting period covers January 1 to June 30; the second reporting period covers July 1 to December 31.

--- Original source retains full ownership of the source dataset ---

The Women's Voter Register Dataset is created from Election Department registers used to register women voters in 1920 after the passage of the 19th Amendment. The dataset contains information about newly registered women voters including name, address, place of birth, occupation, place of work, naturalization information, and closest male relative. This dataset is in progress and is updated periodically as additional voter registers are transcribed.

U.S. President general county level voter registration and turnout data for 1992-2022. Each level of data include the following: Total Population (state and county) Total Voting-Age Population (state only) Total Voter Registration (except ND, WI - these two states do not have voter registration.) Total Ballots Cast (for 2004, not yet available for NC, PA. WI doesn't publish this data) Total Vote Cast for President Voter Registration by Party (AK, AZ, CA, CO, CT, DE, DC, FL, IA, KS, KY, LA, MA, ME, MD, NE, NV, NH, NJ, NM, NY, NC, OK, OR, PA, SD, WV, WY). Remaining states do not have voter registration by party). The following worksheets are included in each file: National Summary - summarizes registration and turnout totals by state - with boundary file information (fips) Data by County - data for all counties of all states plus DC - with boundary file information (fips) Data by Town - data for New England towns (ME, MA, CT, RI, VT, NH) - with boundary file information (fips) Data Sources - a list of data sources used to compile the spreadsheet.

Overview

Kensho's Team Impact is excited to partner with the American Voter Project (the non-profit that runs the Ohio Voter Project) to make this dataset on Georgia voters available via Kaggle.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F73968%2Fe929cb6eb3d7a11dbef5feee4b336f91%2FOVP-Kensho_1000.jpg?generation=1608150215724319&alt=media" alt="">

This dataset has two main components. The first is statewide Georgia voter lists for October, November, and December provided by the American Voter Project and originally sourced from the Georgia Secretary of State. The second is cartographic boundary files from the US Census.

Starter Notebook

Jump right in with a starter notebook that demonstrates reading the data, creating maps, and aggregating voter data.

https://www.kaggle.com/gabrielaltay/georgia-voter-list-starter

Voter File Descriptions

Voter files contain one row per person, are provided for October, November, and December of 2000, and use the following naming convention,

tbl_prod_GABUYYYYMM_sample.csv

The samples are defined as,

• all: all voters in the file provided by the secretary of state of Georgia for a given month
• dropped_records: voters that were in the all sample last month but are not in the all sample this month
• new_records: voters that are in the all sample this month but were not in the all sample last month
• address_change: voters with address info that changed from last month
• name_change: voters with name info that changed from last month
• voter_in_inactive: voters with voter_status = I in the all sample for this month
• voter_status_change: voters with voter_status that changed from last month

Due to privacy concerns we have removed names and addresses (except city, zipcode, and county) from the voter files.

Geographic File Descriptions

The geographic data we collected consists of geojson files that describe cartographic boundaries in the US. We obtained shapefiles from this website and converted them to geojson using geopandas. We follow the naming convention used for the census shape files,

cb_2019_us_entity_rr.geojson where,

entity = the geographic entity rr = resolution level (we use the 20m = 1:20,000,000 and 500k = 1:500,000 scale files)

Specifically, we include the following geographic entities,

cbsa: metropolitan / micropolitan statistical area cd116: congressional district (116th congress) county: county csa: combined statistical area division: national division (subdivisions of regions) nation: national outline region: national region (northeast, southeast, midwest, west) state: state and equivalent zcta510: 5-digit ZIP code tabulation area (Census 2010)

Usage Restrictions

A quote from the Georgia Secretary of State dataset website,

The Statewide Voter List is an electronic file that includes the date last voted for each registered voter in the state of Georgia.

By law, voter registration lists are available to the public and contain the following information: voter name, residential address, mailing address if different, race, gender, registration date and last voting date. The Statewide Voter List does not include telephone numbers, date of birth, Social Security number or Drivers License number. The Statewide Voter List includes Active and Inactive Voters.

Normal production time is 1-2 weeks upon receipt of order. The Statewide Voter List file will be provided to you electronically.

The pricing is set by the Secretary of State office. This data may not be used by any person for commercial purposes. O.C.G.A. § 21-2-225 ( c )

In accordance with O.C.G.A. § 21-2-601, any person who uses the list of electors provided for in O.C.G.A. § 21-2-225 for commercial purposes shall be guilty of a misdemeanor.

Acknowledgements

We would like to thank Steve Tingley-Hock in general for his years of work on behalf of voters and specifically for sharing this data. You can learn more about his work at the following links,

• (VICE) This Man Exposed 40K Voters Purged by Mistake
• (Wired) One IT Guy's Spreadsheet-Fueled Race to Restore Voting Rights
• (New York Times) Ohio Was Set to Purge 235,000 Voters. It Was Wrong About 20%

PROBLEM AND OPPORTUNITY In the United States, voting is largely a private matter. A registered voter is given a randomized ballot form or machine to prevent linkage between their voting choices and their identity. This disconnect supports confidence in the election process, but it provides obstacles to an election's analysis. A common solution is to field exit polls, interviewing voters immediately after leaving their polling location. This method is rife with bias, however, and functionally limited in direct demographics data collected. For the 2020 general election, though, most states published their election results for each voting location. These publications were additionally supported by the geographical areas assigned to each location, the voting precincts. As a result, geographic processing can now be applied to project precinct election results onto Census block groups. While precinct have few demographic traits directly, their geographies have characteristics that make them projectable onto U.S. Census geographies. Both state voting precincts and U.S. Census block groups: are exclusive, and do not overlap are adjacent, fully covering their corresponding state and potentially county have roughly the same size in area, population and voter presence Analytically, a projection of local demographics does not allow conclusions about voters themselves. However, the dataset does allow statements related to the geographies that yield voting behavior. One could say, for example, that an area dominated by a particular voting pattern would have mean traits of age, race, income or household structure. The dataset that results from this programming provides voting results allocated by Census block groups. The block group identifier can be joined to Census Decennial and American Community Survey demographic estimates. DATA SOURCES The state election results and geographies have been compiled by Voting and Election Science team on Harvard's dataverse. State voting precincts lie within state and county boundaries. The Census Bureau, on the other hand, publishes its estimates across a variety of geographic definitions including a hierarchy of states, counties, census tracts and block groups. Their definitions can be found here. The geometric shapefiles for each block group are available here. The lowest level of this geography changes often and can obsolesce before the next census survey (Decennial or American Community Survey programs). The second to lowest census level, block groups, have the benefit of both granularity and stability however. The 2020 Decennial survey details US demographics into 217,740 block groups with between a few hundred and a few thousand people. Dataset Structure The dataset's columns include: Column Definition BLOCKGROUP_GEOID 12 digit primary key. Census GEOID of the block group row. This code concatenates: 2 digit state 3 digit county within state 6 digit Census Tract identifier 1 digit Census Block Group identifier within tract STATE State abbreviation, redundent with 2 digit state FIPS code above REP Votes for Republican party candidate for president DEM Votes for Democratic party candidate for president LIB Votes for Libertarian party candidate for president OTH Votes for presidential candidates other than Republican, Democratic or Libertarian AREA square kilometers of area associated with this block group GAP total area of the block group, net of area attributed to voting precincts PRECINCTS Number of voting precincts that intersect this block group ASSUMPTIONS, NOTES AND CONCERNS: Votes are attributed based upon the proportion of the precinct's area that intersects the corresponding block group. Alternative methods are left to the analyst's initiative. 50 states and the District of Columbia are in scope as those U.S. possessions voting in the general election for the U.S. Presidency. Three states did not report their results at the precinct level: South Dakota, Kentucky and West Virginia. A dummy block group is added for each of these states to maintain national totals. These states represent 2.1% of all votes cast. Counties are commonly coded using FIPS codes. However, each election result file may have the county field named differently. Also, three states do not share county definitions - Delaware, Massachusetts, Alaska and the District of Columbia. Block groups may be used to capture geographies that do not have population like bodies of water. As a result, block groups without intersection voting precincts are not uncommon. In the U.S., elections are administered at a state level with the Federal Elections Commission compiling state totals against the Electoral College weights. The states have liberty, though, to define and change their own voting precincts https://en.wikipedia.org/wiki/Electoral_precinct. The Census Bureau practices "data suppression", filtering some block groups from demographic publication because they do not meet a population threshold. This practice...

Boundaries of Orleans Parish voting precincts as defined by the New Orleans City Charter. New Orleans voting precincts are drawn according to the New Orleans Home Rule Charter as required by the State of Louisiana. A precinct is defined in the state of Louisiana's election code as the smallest political unit of a ward having defined geographical boundaries. Precinct boundaries were updated September 25, 2015, in order to satisfy population changes discovered by the Orleans Registrar of Voters Office. The changes have been made by the City of New Orleans and verified by the Louisiana Secretary of State's Office. Information about voter registation can be found here: https://www.sos.la.gov/ElectionsAndVoting/Pages/RegistrationStatisticsParish.aspx https://www.municode.com/library/la/new_orleans/codes/code_of_ordinances?nodeId=PTIICO_CH58EL_ARTIIELPRState LawRS 18:532. Establishment of precinctsA. Subject to the provisions of R.S. 18:532.1 and 1903, the governing authority of each parish shall establish precincts, define the territorial limits for which each precinct is established, prescribe their boundaries, and designate the precincts. The governing authority of each parish shall by ordinance adopt the establishment and boundaries of each precinct in accordance with the timetable as set forth herein and in accordance with R.S. 18:532.1.B.(1)(a) Each precinct shall be a contiguous, compact area having clearly defined and clearly observable boundaries coinciding with visible features readily distinguishable on the ground and approved extensions of such features, such as designated highways, roads, streets, rivers, or canals, and depicted on United States Bureau of the Census base maps for the next federal decennial census, except where the precinct boundary is coterminous with the boundary of a parish or an incorporated place when the boundaries of a single precinct contain the entire geographic area of the incorporated place. Except as otherwise provided in this Paragraph, on and after July 1, 1997, any precinct boundary which does not coincide with a visible feature shall be changed by the parish governing authority to coincide with a visible feature in accordance with R.S. 18:532.1.(b) For the purposes of this Paragraph, the term "approved extension" shall mean an extension of one visible feature to another visible feature which has been approved by the secretary of the Senate and the clerk of the House of Representatives or their designees and which is or which will be a census tabulation boundary.(2) No precinct shall be wholly contained within the territorial boundaries of another precinct, except that a precinct which contains the entire geographical area of an incorporated place and in which the total number of registered voters at the last general election was less than three hundred may be so contained.(3) No precinct shall contain more than two thousand two hundred registered voters within its geographic boundaries. Within thirty days after the completion of each canvass, the registrar of voters of each parish shall notify the parish governing authority of every precinct in the parish which contains more than two thousand two hundred registered voters within its geographic boundaries. Within sixty days of such notification, the parish governing authority shall divide such precincts by a visible feature in accordance with R.S. 18:532.1.(4)(a) No precinct shall contain less than three hundred registered voters within its geographical boundaries, except:(i) When necessary to make it more convenient for voters in a geographically isolated and unincorporated area to vote. A voter in a geographically isolated and unincorporated area shall mean a voter whose residen

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.

This dataset was used to conduct the NYC Campaign Finance Board's voter participation research, published in the 2019-2020 Voter Analysis Report. Each row contains information about an active voter in 2018 and their voting history dating back to 2008, along with geographical information from their place of residence for each year they were registered voters. Because this dataset contains only active voters in the year 2018, this dataset cannot be used to calculate election turnout.

This data includes new data delivered in 2024 by R&V. This dataset uses a new schema that was provided with the new data. Data was loaded by Smalley in March 2024. Data provided was only included for warded towns. The remainder of the towns were loaded from existing data, which the majority of the metadata is based on. For important metadata on the new data source, contact Middlesex County Office of IT. Description from source: Remington & Vernick Engineers computer-generated and currently maintains, all or in part, the ward/election maps for eleven (11) New Jersey County Boards of Election utilizing AutoCAD software and Esri ArcGIS software applications. We will utilize and reference these resources along with GIS resources available through local, county, state and federal sources, including, but not limited tax assessment parcel data. We will use these resources to create, update, maintain and verify the State-wide GIS dataset comprised of polygon shape files representing the current ward boundaries and election district boundaries for all constituent municipalities in the twenty-one (21) counties in the state of New Jersey. Description from target data.Municipal voting district boundaries 2011-2020. The segmentation of a municipality for voting purposes is based on their type of government. In Middlesex County seven municipalities are divided into Ward/Districts and the balance of eighteen are divided into Districts only. In Warded towns, the geographical area is divided into equally sized wards based on registered voters. Every 10 years, after a Census, each Ward must be examined and “re‑balanced” so that each of the Wards contains an equal amount of voters, within a certain percentage. Each Ward is sub-divided into Districts or Voting districts where each district is analyzed after 2 consecutive General elections so that the votes cast were no more than 750 votes or less than 250. If there are more, the county considers a split of a district, or if less than 250, merging with an adjacent district is considered. Based on the numbers mentioned above, the list of registered voters is reviewed and as close as possible boundaries are drawn to contain the appropriate amount of voters. Physically, boundaries can be centers of streets, fence lines, waterways, etc.

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

Dataset Fields

Census The Census that was used to determine the voting districts used in the election. Note that redistricting occurs two years after the Census takes place.

Election Date The date of the election

Month The month of the election

Year The year of the election

Ward The election ward # (determined every 10 years after Census and redistricting)

Polling Place The polling place (note: there can be multiple wards per polling place and multiple polling places per ward)

Registered Voters The number of registered voters

11 AM Turnout Total Total turnout including absentee and in-person at 11 am

11 AM Absentees Processed The number of absentee ballots processed at that polling location as of 11 am

11 AM Provisionals Number of provisional ballots at 11 am (Note: Provisional ballots may be "corrected" throughout the day, so there may be a higher number of provisional ballots earlier in the day.)

11 AM Turnout Percentage The turnout percentage, based on registered voters, at 11 am

11 AM Turnout Projection The turnout projection for the election based on current turnout levels.

4 PM Turnout Total Total turnout including absentee and in-person at 4 pm

4 PM Absentees Processed The number of absentee ballots processed at that polling location as of 4 pm

4 PM Provisionals Number of provisional ballots at 4 pm (Note: Provisional ballots may be "corrected" throughout the day, so there may be a higher number of provisional ballots earlier in the day.)

4 PM Turnout Percentage The turnout percentage, based on registered voters, at 4 pm

4 PM Turnout Projection The turnout projection for the election based on current turnout levels.

8 PM Turnout Total turnout including absentee and in-person at 8 pm

8 PM Provisionals Number of provisional ballots at 8 pm (Note: Provisional ballots may be "corrected" throughout the day, so there may be a higher number of provisional ballots earlier in the day.)

Final Turnout Percentage The final turnout percentage of the election

This poll surveyed registered voters exiting polls in New York City. Demographic information about the respondent in addition to data on their voting behavior is included.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31098810. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

Detailed election results of the City of Lorient and presented by polling station. This list presents by ballot the cumulative results since 2015 of the various elections: municipal, legislative, presidential, departmental, regional. In detail, this dataset specifies: * the code and wording of the election and its method of voting * date and voting round * the number of the office and the wording of the voting centre * the number of the canton and the wording of the canton * registered voters, votes cast, white and null votes * the name and head(s) of the list and the results obtained for each of them The results are presented in absolute terms.

This dataset represent the boundaries of Fulton County voting precincts. Voting precincts are districts created for the purpose of assigning voters to polling places based on their place of residence. The boundaries are defined by the Fulton County Department of Registration and Elections. The dataset includes all precincts in Fulton County but also includes precincts for the part of the city of Atlanta that lies in DeKalb County because the Fulton County Department of Registration and Elections conducts elections for the the city of Atlanta even though the precincts in DeKalb County are defined by DeKalb County. Precincts are identified by alphanumeric designators which typically begin with a two-letter prefix indicating the city in which they lie. For example, precinct JS09 lies in the city of Johns Creek. The only exception to this convention is assignment of designators for precincts in the city of Atlanta, which begin with a two digit number indicating the council district in which they lie followed by a letter or letter and number combination to make each designator unique. The designator is recorded in the dataset in the field VoterDist. Changes to precinct boundaries can be triggered by a number of events including the redistricting that occurs as part of the reapportionment process following the decennial census, annexation of land by municipalities, and requests from municipalities to change the number of precincts with their boundaries. Any change to a precinct boundary must go through a formal process that begins with the documentation of the proposed change, approval by the County Board of Registration and Elections and approval by the County Board of Commissioners.

This dataset contains the results of the first round of the 2021 regional elections (scrutiny of 20 June 2021). These data are published subject to appeals before the administrative court and possible corrections (material errors, use by candidates of their right to rectify data concerning them). Notes * some polling stations (9 in number) are marked with "0 registered": late changes to voting places (for reasons related to the health situation or the organisation of double voting, for example): these offices were coded with 0 registered as it was too late to remove them from the centralization system of the Ministry of the Interior. * other polling stations in major cities have a low number of registered voters (compared to other polling stations in the city): these may be offices dedicated to specific categories of voters (French from abroad, military, detainees, etc.). Enrichment * Added Geo Points from polling stations (there are geolocation errors on the data). * Added names/codes of regions.

A polygon feature representing the City of Alexandria, Virginia voting precincts. Provides location of political boundaries for voting precincts within the City of Alexandria, Virginia. Precinct boundaries are determined by the City's Voter Registration Office.