100+ datasets found
  1. US President General - State and County Level Vote Data, 1964-2020

    • archive.ciser.cornell.edu
    Updated Dec 31, 2019
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    Leip, David. Dave Leip’s Atlas of U.S. Presidential Elections. http://uselectionatlas.org (2019). US President General - State and County Level Vote Data, 1964-2020 [Dataset]. http://doi.org/10.6077/dskr-cm17
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    Dataset updated
    Dec 31, 2019
    Dataset provided by
    Dave Leip's Atlas of U.S. Presidential Electionshttps://uselectionatlas.org/
    Authors
    Leip, David. Dave Leip’s Atlas of U.S. Presidential Elections. http://uselectionatlas.org
    Area covered
    United States
    Variables measured
    GeographicUnit
    Description

    This study contains files of Presidential election votes by State, County, and Town for each U.S. Presidential election year from 1964-2020. From Dave Leip, Atlas of U.S. Presidential Elections. Note: MIT posted similar publicly available data beginning with 1976 at https://doi.org/10.7910/DVN/42MVDX

    Information available in each dataset

    If you want to know what each Presidential Election dataset contains before downloading it, for easy reference, the CCSS Data Services team prepared a spreadsheet summarizing the contents of each dataset. You can view them in this Summary of contents and codebooks spreadsheet.

    The summary spreadsheet contains the following: 1. A matrix table summarizing the information available in each Presidential election dataset 2. Codebook describing the variables in the Presidential Election vote data at the State level 3. Codebook describing the variables in the Presidential Election vote data at the County level 4. Codebook describing the variables in the Presidential Election vote data at the Town level 5. A matrix table listing the statistics and graphs included in each Presidential election dataset

    Labels of the variables in the State, County, and Town data, as well as a description of each tab in the dataset, are also available here: https://uselectionatlas.org/BOTTOM/DOWNLOAD/spread_national.html

    Dave Leip's website

    The Dave Leip website here: https://uselectionatlas.org/BOTTOM/store_data.php has additional years of data available going back to 1912 but at a fee.

    Sometimes the files are 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 Data Discovery and Replication Services. These files were last checked for updates in June 2024.

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

  2. C

    Allegheny County Election Results

    • data.wprdc.org
    csv, html, pdf, xlsx +1
    Updated Jun 11, 2025
    + more versions
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    Allegheny County (2025). Allegheny County Election Results [Dataset]. https://data.wprdc.org/dataset/election-results
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    csv, pdf, zip(1174094), zip(30511340), zip(3899), zip(4281), zip(769144), zip(1174521), zip, xlsx, zip(60461850), zip(3948), zip(1326388), zip(9094), zip(405399), zip(5447), zip(695806), zip(1495227), zip(2745), html, zip(4987), zip(4286), zip(1127511), zip(1439228), zip(23990460), zip(16160), zip(459238), zip(1268133), zip(1543358), zip(11248), zip(1364944), pdf(367597)Available download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Allegheny County
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    Official, certified results of primary, general, and special elections held in Allegheny County. (Note that the most recent results may not yet be certified. Please check the link at https://www.alleghenycounty.us/Government/Elections/Election-Results to determine whether the results have been certified.)

  3. d

    2020 Presidential General Election Results

    • catalog.data.gov
    • data.montgomerycountymd.gov
    Updated Jun 21, 2025
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    data.montgomerycountymd.gov (2025). 2020 Presidential General Election Results [Dataset]. https://catalog.data.gov/dataset/2020-presidential-general-election-results
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.montgomerycountymd.gov
    Description

    The Cumulative Report includes complete official election results for the 2020 Presidential General Election as of November 29, 2020. Results are released in three separate reports: The Vote By Mail 1 report contains complete results for ballots received by the Board of Elections on or before October 21, 2020, that could be accepted and opened before Election Day. The Vote By Mail 2 Canvass report contains complete results for all remaining Vote By Mail ballots that were received in a drop box or in person at the Board of Elections by 8:00pm on November 3, or were postmarked by November 3 and received timely by the Board of Elections by 10:00am on Friday, November 13. The Vote By Mail 2 Canvass begins on Thursday, November 5. The Provisional Canvass contains complete results for all provisional ballots issued to voters at Early Voting or on Election Day. For more information on this process, please visit the 2020 Presidential General Election Ballot Canvass webpage at https://www.montgomerycountymd.gov/Elections/2020GeneralElection/general-ballot-canvass.html. For turnout information, please visit the Maryland State Board of Elections Press Room webpage at https://elections.maryland.gov/press_room/index.html.

  4. Data from: General Election Data for the United States, 1950-1990

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Nov 22, 2013
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    Inter-university Consortium for Political and Social Research (2013). General Election Data for the United States, 1950-1990 [Dataset]. http://doi.org/10.3886/ICPSR00013.v2
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    r, ascii, stata, spss, delimited, sasAvailable download formats
    Dataset updated
    Nov 22, 2013
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/13/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13/terms

    Time period covered
    1950 - 1990
    Area covered
    United States
    Description

    This data collection consists of national files containing county-level returns for elections to the offices of president, United States senator and representative, and governor. Also included are returns for one additional statewide office (usually attorney general or secretary of state) for those states that elected state offices in 1970 through 1990.

  5. B

    Governor Election Data

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 11, 2025
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    David Leip (2025). Governor Election Data [Dataset]. http://doi.org/10.5683/SP3/4S0JCI
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2025
    Dataset provided by
    Borealis
    Authors
    David Leip
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/4S0JCIhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/4S0JCI

    Time period covered
    1990 - 2022
    Area covered
    United States
    Description

    Dave Leip's election atlas data; available to UT faculty, students and staff; requires valid login with UTORid. Governor election results data includes tabs for State, County, Town, Party, Statistics, Graphs, Candidates, Notes, Sources, and Updates

  6. H

    County Election Administration Index Data for 2016, 2018, and 2020

    • dataverse.harvard.edu
    Updated May 20, 2024
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    Michael Ritter (2024). County Election Administration Index Data for 2016, 2018, and 2020 [Dataset]. http://doi.org/10.7910/DVN/FLWCVT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Michael Ritter
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The county election administration index for 2016, 2018, and 2020 was used for the Michael J. Ritter and Caroline J. Tolbert (2024) "Measuring County Election Administration in the United States" article published in the Election Law Journal. The data as well as a codebook are made available here.

  7. H

    David Leip's Atlas of U.S. Presidential Elections

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Sep 18, 2024
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    Dave Leip (2024). David Leip's Atlas of U.S. Presidential Elections [Dataset]. http://doi.org/10.7910/DVN/XX3YJ4
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Dave Leip
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/15.3/customlicense?persistentId=doi:10.7910/DVN/XX3YJ4https://dataverse.harvard.edu/api/datasets/:persistentId/versions/15.3/customlicense?persistentId=doi:10.7910/DVN/XX3YJ4

    Time period covered
    1824 - 1899
    Area covered
    United States
    Description

    David Leip provides election returns from presidential, senatorial, gubernatorial and House races at state, county and precinct level. Data includes names of candidates, parties, popular and electoral vote totals, voter turnout, and more. While some data is available for free on David Leip’s website, MIT researchers have access to more granular data from following elections and years: Presidential Primaries (county level): 2000, 2004, 2008, 2012, 2016, 2020 Presidential General Elections Results by: State: 1824-2012 County: 1980, 2016, 2020 Precincts: 1992, 1996, 2016, 2020 Congressional districts: 2016, 2020 House of Representatives (General Election, county level): 1992 – 2020 U.S. Senate (General Election, county level): 2020 Registration and Turnout (General Election , county level): 1992-2020 DATA AVAILABLE FOR YEARS: 1824-2020 (some coverage gaps)

  8. c

    Data from: United States Historical Election Returns, 1824-1968

    • archive.ciser.cornell.edu
    Updated Dec 31, 2019
    + more versions
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    Inter-university Consortium for Political and Social Research (2019). United States Historical Election Returns, 1824-1968 [Dataset]. http://doi.org/10.6077/es37-ck73
    Explore at:
    Dataset updated
    Dec 31, 2019
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Research
    Area covered
    United States
    Variables measured
    EventOrProcess
    Description

    This collection of historical election data contains state files that list county-level returns for over 90 percent of all elections to the offices of president, governor, United States senator, and United States representative from 1824 through 1968. The data files include returns for all parties and candidates (as well as write-in and scattering votes if available for individual states), and for special elections as well as regularly-scheduled contests. Over 1,000 individual party names and many additional unaffiliated candidates are included. Datafiles include State election results upto 1974. Please review datasets to determine timelines for each state.

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR00001.v3. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  9. H

    2020 General Election Voting by US Census Block Group

    • dataverse.harvard.edu
    Updated Mar 10, 2025
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    Michael Bryan (2025). 2020 General Election Voting by US Census Block Group [Dataset]. http://doi.org/10.7910/DVN/NKNWBX
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Michael Bryan
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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...

  10. O

    Election Results

    • data.fultoncountyga.gov
    application/rdfxml +5
    Updated Jul 2, 2020
    + more versions
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    Fulton County Government (2020). Election Results [Dataset]. https://data.fultoncountyga.gov/Elections/Election-Results/y7fy-g8wd
    Explore at:
    xml, application/rdfxml, json, csv, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Jul 2, 2020
    Dataset authored and provided by
    Fulton County Government
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data set consists of all Fulton County Election results from April 2012 to present. Included with each record is the race, candidate, precinct, number of election day votes, number of absentee by mail votes, number of advance in person votes, number of provisional votes, total number of votes, name of election, and date of election. This data set is updated after each election.

  11. US General Election - County Level Voter Registration & Turnout Data,...

    • archive.ciser.cornell.edu
    Updated Feb 15, 2024
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    Leip, David. Dave Leip’s Atlas of U.S. Presidential Elections. http://uselectionatlas.org (2024). US General Election - County Level Voter Registration & Turnout Data, 1992-2022 [Dataset]. http://doi.org/10.6077/h0y1-q517
    Explore at:
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Dave Leip's Atlas of U.S. Presidential Electionshttps://uselectionatlas.org/
    Authors
    Leip, David. Dave Leip’s Atlas of U.S. Presidential Elections. http://uselectionatlas.org
    Variables measured
    GeographicUnit
    Description

    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.

  12. Electoral Data for Counties in the United States: Presidential and...

    • icpsr.umich.edu
    • primeproxyserver.com
    ascii, sas, spss +1
    Updated Nov 13, 2006
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    Clubb, Jerome M.; Flanigan, William H.; Zingale, Nancy H. (2006). Electoral Data for Counties in the United States: Presidential and Congressional Races, 1840-1972 [Dataset]. http://doi.org/10.3886/ICPSR08611.v1
    Explore at:
    ascii, spss, stata, sasAvailable download formats
    Dataset updated
    Nov 13, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Clubb, Jerome M.; Flanigan, William H.; Zingale, Nancy H.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8611/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8611/terms

    Time period covered
    1840 - 1972
    Area covered
    United States
    Description

    This collection contains county-level returns for elections to the United States presidency and to the United States House of Representatives for the years 1840 to 1972. The variables for the presidential vote include the percentages of ballots cast for major and "significant" minor party candidates (with residual votes collapsed into an "other" category), total numbers of votes for all candidates in an election, and estimates of voter turnout in the presidential elections. There are similar variables for the congressional vote except that returns are reported for parties and not for candidates. Congressional district numbers are also reported for each county for every election.

  13. 2022 Detailed General Election Data for U.S. Senate

    • aura.american.edu
    Updated May 5, 2025
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    Dave Leip (2025). 2022 Detailed General Election Data for U.S. Senate [Dataset]. http://doi.org/10.57912/23843217
    Explore at:
    Dataset updated
    May 5, 2025
    Dataset provided by
    Dave Leip's Atlas of U.S. Presidential Electionshttps://uselectionatlas.org/
    Authors
    Dave Leip
    License

    http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/

    Area covered
    United States
    Description

    2022 Detailed General Election Data for U.S. Senate at the County and State levels. Data is provided in an .xlsx format with both County and State data combined, as well as .csv format for the County and State data separately.

  14. H

    Dave Leip Voter Registration and Turnout Data by County

    • dataverse.harvard.edu
    Updated May 2, 2025
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    Dave Leip (2025). Dave Leip Voter Registration and Turnout Data by County [Dataset]. http://doi.org/10.7910/DVN/WRSW25
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 2, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Dave Leip
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/7.0/customlicense?persistentId=doi:10.7910/DVN/WRSW25https://dataverse.harvard.edu/api/datasets/:persistentId/versions/7.0/customlicense?persistentId=doi:10.7910/DVN/WRSW25

    Description

    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.

  15. d

    Presidential county elections returns data, 2000 - 2020

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 12, 2023
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    MIT Election Data and Science Lab (2023). Presidential county elections returns data, 2000 - 2020 [Dataset]. http://doi.org/10.7910/DVN/8RFBRF
    Explore at:
    Dataset updated
    Nov 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This data set comprises of election returns gathered for the office of xxx at the county/constituency/precinct level for the year(s) ... . Please see the associated readme file and meta-csv file for source information and important notes on accuracy and the nature of the fields.

  16. B

    US President - County

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 11, 2025
    + more versions
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    David Leip (2025). US President - County [Dataset]. http://doi.org/10.5683/SP3/L6UQAC
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2025
    Dataset provided by
    Borealis
    Authors
    David Leip
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/L6UQAChttps://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/L6UQAC

    Area covered
    United States
    Description

    Data from Dave Leip's atlas of U.S. presidential elections separated by County. For use by University of Toronto students, staff, and faculty only. Requires UTORid login. Files with State abbreviation in name are presented by: congressional district, legislative district, region and precinct. Also includes tab for update log. Files with no State abbreviation in the title provide tabs for data by state, county, town, party. Also includes graphs, information on candidates, statistics, ballots, notes, data sources and update log. Files with PrimD and PrimR in the title provide data for the Democratic and Republican primaries.

  17. Data from: United States Historical Election Returns, 1824-1968

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Apr 26, 1999
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    Inter-university Consortium for Political and Social Research (1999). United States Historical Election Returns, 1824-1968 [Dataset]. http://doi.org/10.3886/ICPSR00001.v3
    Explore at:
    sas, spss, asciiAvailable download formats
    Dataset updated
    Apr 26, 1999
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1/terms

    Time period covered
    1824 - 1968
    Area covered
    United States
    Description

    Please read the collection notes below; there are many points to be aware of for this collection prior to analysis. This collection of historical election data contains state files that list county-level returns for over 90 percent of all elections to the offices of president, governor, United States senator, and United States representative from 1824 through 1968. The data files include returns for all parties and candidates (as well as write-in and scattering votes if available for individual states), and for special elections as well as regularly-scheduled contests. Over 1,000 individual party names and many additional unaffiliated candidates are included.

  18. 2018 US State Election Results By County

    • kaggle.com
    Updated Jul 15, 2020
    + more versions
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    Will Clifford (2020). 2018 US State Election Results By County [Dataset]. https://www.kaggle.com/wcliffy33/us-state-office-election-returns-2018/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 15, 2020
    Dataset provided by
    Kaggle
    Authors
    Will Clifford
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Content

    Election results for the November 6th, 2018 State elections. Elections were held for the governorships of 36 U.S. states and three U.S. territories. Eighty-seven of the 99 state legislative chambers, in 46 states—6,069 seats out of the nation's 7,383 legislative seats (82%)—held regularly-scheduled elections.

    Relevant Description From Provided Codebook

    The data files state_overall_2018 and county_2018 contain official returns for state office elections in 2018. Files for overall results show constituency-level returns, and where available, these are broken down into county level returns in the county files.

    The source of the data is typically each state's Secretary of State website or comparable elections division page on an official state website.

    Returns for some states are separated by mode of voting (e.g. election day, absentee, etc.), as indicated by the mode variable in the dataset. For Maine in the county_2018 file, data was drawn from precinct results, some of which could not be linked to corresponding counties. These are listed as missing values in the county variable. The county-level data in the county_2018 file for Maine is thus incomplete.

  19. B

    Senate Election Data

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 11, 2025
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    Dave Leip (2025). Senate Election Data [Dataset]. http://doi.org/10.5683/SP2/IR6NUM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2025
    Dataset provided by
    Borealis
    Authors
    Dave Leip
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP2/IR6NUMhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP2/IR6NUM

    Time period covered
    1990 - 2022
    Area covered
    United States
    Description

    Dave Leip Election Atlas, for use by UT students, staff and faculty. Requires log-in with valid UTor ID. Senate results reported in tabs by State, County, Town, Party, Candidates. Includes graphs, notes, sources, statistics and update log.

  20. d

    Data from: Dave Leip U.S. House General County Election Results

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    + more versions
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    Leip, Dave (2023). Dave Leip U.S. House General County Election Results [Dataset]. http://doi.org/10.7910/DVN/T2DQQS
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Leip, Dave
    Area covered
    United States
    Description

    U.S. House of Representative county-level election results for presidential election years 1992 through 2022.

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Leip, David. Dave Leip’s Atlas of U.S. Presidential Elections. http://uselectionatlas.org (2019). US President General - State and County Level Vote Data, 1964-2020 [Dataset]. http://doi.org/10.6077/dskr-cm17
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US President General - State and County Level Vote Data, 1964-2020

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Dataset updated
Dec 31, 2019
Dataset provided by
Dave Leip's Atlas of U.S. Presidential Electionshttps://uselectionatlas.org/
Authors
Leip, David. Dave Leip’s Atlas of U.S. Presidential Elections. http://uselectionatlas.org
Area covered
United States
Variables measured
GeographicUnit
Description

This study contains files of Presidential election votes by State, County, and Town for each U.S. Presidential election year from 1964-2020. From Dave Leip, Atlas of U.S. Presidential Elections. Note: MIT posted similar publicly available data beginning with 1976 at https://doi.org/10.7910/DVN/42MVDX

Information available in each dataset

If you want to know what each Presidential Election dataset contains before downloading it, for easy reference, the CCSS Data Services team prepared a spreadsheet summarizing the contents of each dataset. You can view them in this Summary of contents and codebooks spreadsheet.

The summary spreadsheet contains the following: 1. A matrix table summarizing the information available in each Presidential election dataset 2. Codebook describing the variables in the Presidential Election vote data at the State level 3. Codebook describing the variables in the Presidential Election vote data at the County level 4. Codebook describing the variables in the Presidential Election vote data at the Town level 5. A matrix table listing the statistics and graphs included in each Presidential election dataset

Labels of the variables in the State, County, and Town data, as well as a description of each tab in the dataset, are also available here: https://uselectionatlas.org/BOTTOM/DOWNLOAD/spread_national.html

Dave Leip's website

The Dave Leip website here: https://uselectionatlas.org/BOTTOM/store_data.php has additional years of data available going back to 1912 but at a fee.

Sometimes the files are 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 Data Discovery and Replication Services. These files were last checked for updates in June 2024.

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

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