27 datasets found
  1. d

    U.S. President 1976–2020

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 25, 2024
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    MIT Election Data and Science Lab (2024). U.S. President 1976–2020 [Dataset]. http://doi.org/10.7910/DVN/42MVDX
    Explore at:
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This data file contains constituency (state-level) returns for elections to the U.S. presidency from 1976 to 2020.

  2. h

    Data from: us-presidential-elections

    • huggingface.co
    Updated Sep 24, 2024
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    Florent Daudens (2024). us-presidential-elections [Dataset]. https://huggingface.co/datasets/fdaudens/us-presidential-elections
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 24, 2024
    Authors
    Florent Daudens
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Area covered
    United States
    Description

    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.

  3. d

    U.S. Senate statewide 1976–2020

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 30, 2023
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    MIT Election Data and Science Lab (2023). U.S. Senate statewide 1976–2020 [Dataset]. http://doi.org/10.7910/DVN/PEJ5QU
    Explore at:
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This data file contains constituency (state-level) returns for elections to the U.S. Senate from 1976 to 2020.

  4. d

    State Precinct-Level Returns 2016

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    MIT Election Data and Science Lab (2023). State Precinct-Level Returns 2016 [Dataset]. http://doi.org/10.7910/DVN/GSZG1O
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This dataset contains precinct-level returns for state elections on November 8, 2016.

  5. H

    Election Night Returns 2024

    • dataverse.harvard.edu
    Updated Mar 15, 2025
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    MIT Election Data and Science Lab (2025). Election Night Returns 2024 [Dataset]. http://doi.org/10.7910/DVN/2CKSIK
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 15, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    Description

    This data release includes Election Night Reporting at two levels (state and regional vote totals) from November 5, 2024, and the days and weeks after. The data are from the Edison feed, acquired through CNN by the MIT Election Data and Science Lab. See the readme file for more information.

  6. US Senate Election Returns (1976-2018)

    • kaggle.com
    Updated Dec 8, 2023
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    Sahitya Setu (2023). US Senate Election Returns (1976-2018) [Dataset]. https://www.kaggle.com/datasets/sahityasetu/us-senate-election-returns-1976-2018
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sahitya Setu
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    Constituency (state-level) returns for elections to the US Senate from 1976 to 2018. SUMMARY US House of Representatives election results at a district level, for 1976–2018, from the MIT Election Data + Science Lab.

    The original data source is the document Statistics of the Congressional Election , published biennially by the Clerk of the U.S. House of Representatives. 2018 data comes from official state election websites (in some cases, they are marked as unofficial, and will be updated at a later time).

  7. d

    U.S. President Precinct-Level Returns 2020

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 9, 2023
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    MIT Election Data and Science Lab (2023). U.S. President Precinct-Level Returns 2020 [Dataset]. http://doi.org/10.7910/DVN/JXPREB
    Explore at:
    Dataset updated
    Nov 9, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This dataset contains precinct-level returns for the US President election on November 3, 2020.

  8. H

    U.S. Senate Precinct-Level Returns 2022

    • dataverse.harvard.edu
    Updated Jan 31, 2025
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    MIT Election Data + Science Lab (2025). U.S. Senate Precinct-Level Returns 2022 [Dataset]. http://doi.org/10.7910/DVN/IAD3XR
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data + Science Lab
    License

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

    Area covered
    United States
    Description

    This dataset contains precinct-level returns for US Senate elections on November 8, 2022.

  9. Midterm Elections 2022 USA States

    • maps-cadoc.opendata.arcgis.com
    Updated Jul 24, 2023
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    Esri Tutorials (2023). Midterm Elections 2022 USA States [Dataset]. https://maps-cadoc.opendata.arcgis.com/maps/LearnGIS::midterm-elections-2022-usa-states
    Explore at:
    Dataset updated
    Jul 24, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Tutorials
    License

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

    Area covered
    Description

    Election return data for the 2022 midterm elections by state. Prepared for the Esri Tutorial Investigate and share election results.Data is derived from from MIT Election Data and Science Lab (MEDSL) downloaded from the Harvard Dataverse website.U.S. Senate county-level results 2022U.S. House 1976–2022State boundary data is from USA Census States.

  10. H

    Elections Performance Index 2018

    • dataverse.harvard.edu
    • dataone.org
    Updated Mar 21, 2024
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    MIT Election Data and Science Lab (2024). Elections Performance Index 2018 [Dataset]. http://doi.org/10.7910/DVN/YU2ANW
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 21, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    Description

    This csv is for the replication of the 2018 EPI data.

  11. H

    Elections Performance Index 2016

    • dataverse.harvard.edu
    Updated Mar 21, 2024
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    MIT Election Data and Science Lab (2024). Elections Performance Index 2016 [Dataset]. http://doi.org/10.7910/DVN/TSUQOA
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 21, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    Description

    This csv is for the replication of the 2016 EPI data.

  12. d

    Elections Performance Index 2022

    • search.dataone.org
    Updated Sep 25, 2024
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    MIT Election Data and Science Lab (2024). Elections Performance Index 2022 [Dataset]. http://doi.org/10.7910/DVN/Z1BAQD
    Explore at:
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This dataset contains the indicator values for the 2022 Elections Performance Index

  13. H

    Presidential county elections returns data, 2000 - 2020

    • dataverse.harvard.edu
    Updated Jan 23, 2022
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    MIT Election Data and Science Lab (2022). Presidential county elections returns data, 2000 - 2020 [Dataset]. http://doi.org/10.7910/DVN/8RFBRF
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 23, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    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.

  14. H

    Elections Performance Index 2020

    • dataverse.harvard.edu
    Updated Mar 10, 2022
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    MIT Election Data and Science Lab (2022). Elections Performance Index 2020 [Dataset]. http://doi.org/10.7910/DVN/MRQWAE
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 10, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    Description

    This csv is for the replication of the most up to date EPI data, 2020.

  15. d

    County Presidential Election Returns 2000-2020

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Mar 6, 2024
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    MIT Election Data and Science Lab (2024). County Presidential Election Returns 2000-2020 [Dataset]. http://doi.org/10.7910/DVN/VOQCHQ
    Explore at:
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This dataset contains county-level returns for presidential elections from 2000 to 2020.

  16. H

    Replication Data for: THE BLUE SHIFT IN THE 2020 ELECTION

    • dataverse.harvard.edu
    Updated May 26, 2021
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    MIT Election Data and Science Lab (2021). Replication Data for: THE BLUE SHIFT IN THE 2020 ELECTION [Dataset]. http://doi.org/10.7910/DVN/LZXR5A
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 26, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    Description

    The following data consists of the New York Times and Georgia Scytl election night returns data from the 2020 presidential election. These data are used to analyze the reporting time speed/momentum and partisan trends over time via snapshotted publicly available data.

  17. H

    EPI Full Reproduction Files 2008 - 2022

    • dataverse.harvard.edu
    Updated Mar 22, 2024
    + more versions
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    MIT Election Data and Science Lab (2024). EPI Full Reproduction Files 2008 - 2022 [Dataset]. http://doi.org/10.7910/DVN/9UF1ZM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    License

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

    Description

    The data and updates for the 2008 - 2022 release of the Elections Performance Index.

  18. H

    U.S. Congressional Election Results, 1920–1974 (House and Senate)

    • dataverse.harvard.edu
    Updated May 21, 2025
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    Sai Zhang (2025). U.S. Congressional Election Results, 1920–1974 (House and Senate) [Dataset]. http://doi.org/10.7910/DVN/WBEYJN
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 21, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Sai Zhang
    License

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

    Area covered
    United States
    Description

    This dataset provides cleaned and structured election results for U.S. House and Senate races from 1920 to 1974. The data were compiled from the official publication Election Statistics: 1920 to Present, maintained and published by the Clerk of the U.S. House of Representatives. The dataset follows the same structure as the MIT Election Lab’s congressional election data covering 1976–2022 for ease of use. All data were processed and organized by Sai Zhang.

  19. d

    U.S. House of Representatives Precinct-Level Returns 2016

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
    + more versions
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    MIT Election Data and Science Lab (2023). U.S. House of Representatives Precinct-Level Returns 2016 [Dataset]. http://doi.org/10.7910/DVN/PSKDUJ
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This dataset contains precinct-level returns for elections to the U.S. House of Representatives on November 8, 2016.

  20. d

    U.S. President Precinct-Level Returns 2016

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
    + more versions
    Share
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    MIT Election Data and Science Lab (2023). U.S. President Precinct-Level Returns 2016 [Dataset]. http://doi.org/10.7910/DVN/LYWX3D
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    MIT Election Data and Science Lab
    Description

    This dataset contains precinct-level returns for elections to the U.S. presidency on November 8, 2016.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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MIT Election Data and Science Lab (2024). U.S. President 1976–2020 [Dataset]. http://doi.org/10.7910/DVN/42MVDX

U.S. President 1976–2020

Explore at:
98 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 25, 2024
Dataset provided by
Harvard Dataverse
Authors
MIT Election Data and Science Lab
Description

This data file contains constituency (state-level) returns for elections to the U.S. presidency from 1976 to 2020.

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