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American election results at the precinct level
We describe the creation and quality assurance of a dataset containing nearly all available precinct-level election results from the 2016, 2018, and 2020 American elections. Precincts are the smallest level of election administration, and election results at this granularity are needed to address ma...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633829/ https://www.ncbi.nlm.nih.gov/pubmed/36329037 http://dx.doi.org/10.1038/s41597-022-01745-0 |
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author | Baltz, Samuel Agadjanian, Alexander Chin, Declan Curiel, John DeLuca, Kevin Dunham, James Miranda, Jennifer Phillips, Connor Halloran Uhlman, Annabel Wimpy, Cameron Zárate, Marcos Stewart, Charles |
author_facet | Baltz, Samuel Agadjanian, Alexander Chin, Declan Curiel, John DeLuca, Kevin Dunham, James Miranda, Jennifer Phillips, Connor Halloran Uhlman, Annabel Wimpy, Cameron Zárate, Marcos Stewart, Charles |
author_sort | Baltz, Samuel |
collection | PubMed |
description | We describe the creation and quality assurance of a dataset containing nearly all available precinct-level election results from the 2016, 2018, and 2020 American elections. Precincts are the smallest level of election administration, and election results at this granularity are needed to address many important questions. However, election results are individually reported by each state with little standardization or data quality assurance. We have collected, cleaned, and standardized precinct-level election results from every available race above the very local level in almost every state across the last three national election years. Our data include nearly every candidate for president, US Congress, governor, or state legislator, and hundreds of thousands of precinct-level results for judicial races, other statewide races, and even local races and ballot initiatives. In this article we describe the process of finding this information and standardizing it. Then we aggregate the precinct-level results up to geographies that have official totals, and show that our totals never differ from the official nationwide data by more than 0.457%. |
format | Online Article Text |
id | pubmed-9633829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96338292022-11-05 American election results at the precinct level Baltz, Samuel Agadjanian, Alexander Chin, Declan Curiel, John DeLuca, Kevin Dunham, James Miranda, Jennifer Phillips, Connor Halloran Uhlman, Annabel Wimpy, Cameron Zárate, Marcos Stewart, Charles Sci Data Data Descriptor We describe the creation and quality assurance of a dataset containing nearly all available precinct-level election results from the 2016, 2018, and 2020 American elections. Precincts are the smallest level of election administration, and election results at this granularity are needed to address many important questions. However, election results are individually reported by each state with little standardization or data quality assurance. We have collected, cleaned, and standardized precinct-level election results from every available race above the very local level in almost every state across the last three national election years. Our data include nearly every candidate for president, US Congress, governor, or state legislator, and hundreds of thousands of precinct-level results for judicial races, other statewide races, and even local races and ballot initiatives. In this article we describe the process of finding this information and standardizing it. Then we aggregate the precinct-level results up to geographies that have official totals, and show that our totals never differ from the official nationwide data by more than 0.457%. Nature Publishing Group UK 2022-11-03 /pmc/articles/PMC9633829/ /pubmed/36329037 http://dx.doi.org/10.1038/s41597-022-01745-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Baltz, Samuel Agadjanian, Alexander Chin, Declan Curiel, John DeLuca, Kevin Dunham, James Miranda, Jennifer Phillips, Connor Halloran Uhlman, Annabel Wimpy, Cameron Zárate, Marcos Stewart, Charles American election results at the precinct level |
title | American election results at the precinct level |
title_full | American election results at the precinct level |
title_fullStr | American election results at the precinct level |
title_full_unstemmed | American election results at the precinct level |
title_short | American election results at the precinct level |
title_sort | american election results at the precinct level |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633829/ https://www.ncbi.nlm.nih.gov/pubmed/36329037 http://dx.doi.org/10.1038/s41597-022-01745-0 |
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