The data in this archive consists of the votes for the main candidates in the United States presidential elections for 2016, 2020 and 2024 by county:
Under the direction of Jan Knoedler (Professor, Economics), Carrie Pirmann (Social Sciences Librarian) and Katie Akateh (Research Data Services Specialist), JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows Noah Thomas (Statistics major, class of 2028) and Ryan Carson (Analytics and Operations Management major, class of 2028) collected and wrangled this data directly from the official tallies provided by each state. The data published here contains FIPS Codes so it can be mapped and merged with data from the American Community Survey. Therefore, this data can be used to examine, at a detailed county level, the analysis of many social scientists that have endeavored to find correlations and even causal relationships between the outcomes of recent presidential elections and the disparities in economic outcomes for Americans over the past few decades, whether by race, class, gender, education, rural/urban locations, or other key demographic differences. The detailed county level data along with ArsGIS visualizations allows the user to focus on key swing counties in key swing states, where the margins of victory were small, or flipped or pivoted from election to election.