Description

This dataset contains the county-wise vote share of the United States presidential election of 2020, and in the future 2024, the main advantage of the dataset is that it contains various important county statistics such as the counties racial composition, median and mean income, income inequality, population density, education level, population and the counties occupational distribution.

_Imp: this dataset will be updated as the 2024 results come in, I will also be adding more county demographic data, if you have any queries or suggestions please feel free to comment _

Motivation

The reasons for constructing this dataset are many, however the prime reason was to aggregate all the data on counties along with the election result data for easy analysis in one place. I noticed that Kaggle contains no datasets with detailed county information, and that using the US census bureau site is pretty difficult and time consuming to extract data so it would be better to have a pre-prepared table of data

Columns

• The first columns contain information on the county and state
• The next columns contain the 2020 vote both raw and %
• The next columns contain the education level of the county population
• Following that we have information about the income and income inequality in the county
• Then we have the county racial composition
• The counties population and population density
• The final columns contain information about the distribution of occupations in the county

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.

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.

November 2016 county-level election returns for president, Senate, US House, and governor elections in each state.

The IPUMS Contextual Determinants of Health (CDOH) data series provides access to measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website. Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020. The Politics measures in this release include county-level presidential election results from 2000-2020, indicating the proportion of votes cast for the Democratic candidate or the Republican candidate in each presidential election. To work with the IPUMS CDOH data, researchers will need to use the variable MATCH_ID to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).

This dataset provides detailed county-level returns for U.S. presidential general elections, compiled by Dave Leip’s Atlas of U.S. Presidential Elections. For each election year included, the dataset is distributed as an Excel workbook (.xlsx) with multiple worksheets and accompanied by machine-readable CSV files for additional administrative levels (county, congressional district, state). There are two codebooks for the this data collection describing variable names and meanings: one for the Congressional District level data and the other for County level data.The Excel workbook contains:Candidates – names and party ballot listings by state.Vote Data by State – statewide vote totals for each candidate, with boundary identifiers (FIPS codes).Vote Data by County – county-level vote totals for all states and the District of Columbia, with FIPS codes.Vote Data by Town – town-level results for New England states (ME, MA, CT, RI, VT, NH), with FIPS codes.Graphs – pie charts summarizing results by state and nationally.Party – statewide vote strength of major parties.Statistics – summary statistics including closest races, maxima, and other aggregate indicators.Data Sources – documentation of sources used to compile the dataset.For the 2016, 2020, and 2024 elections, additional Excel workbooks and CSV files are provided at the congressional district (CD) level, containing:Vote Data by Congressional District – vote totals by district for each candidate, with FIPS codes. Includes detailed allocations for counties that span multiple congressional districts.Data Sources – documentation of sources used to compile the dataset.Candidates – candidate names and national party ballot listings.Notes – state-level notes describing data compilation details.

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.

U.S. Presidential county-level election results for presidential election years 1912 through 2020; congressional district election results for 2016; select precinct election results for 2020.

This dataset provides county and congressional district–level returns for U.S. House of Representatives general elections, compiled by Dave Leip’s Atlas of U.S. Presidential Elections. For each election year included, the dataset is distributed as an Excel workbook (.xlsx) with multiple worksheets, accompanied by machine-readable CSV files at the county, congressional district, and state levels. The codebook for the data collection, describing variable names and meanings, is provided as an .rtf file.The Excel workbook contains:Candidates – names and party ballot listings by state.Vote Data by State – statewide vote totals for each candidate, with boundary identifiers (FIPS codes).Vote Data by County – county-level vote totals for all states and the District of Columbia, with FIPS codes.Vote Data by Town – town-level results for New England states (ME, MA, CT, RI, VT, NH), with FIPS codes.Vote Data by Congressional District – vote totals for all congressional districts nationwide.Graphs – pie charts summarizing results by state and nationally.Party – statewide vote strength of major parties.Statistics – summary statistics including closest races, maxima, and other aggregate indicators.Voter Turnout by State – voting-age population and turnout data by state.Data Sources – documentation of sources used to compile the dataset.

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, 2024 Presidential General Elections Results by: State: 1824-2024 County: 1980, 2016, 2020, 2024 Precincts: 1992, 1996, 2016, 2020 Congressional districts: 2016, 2020 Gubernatorial General Election : 2022 House of Representatives (General Election, state, county, congressional districts level): 1992 – 2024 U.S. Senate (General Election, state,county, town level): 2020, 2022, 2024 Registration and Turnout (General Election , state, county level): 1992-2024 DATA AVAILABLE FOR YEARS: 1824-2024 (some coverage gaps)

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... Visit https://dataone.org/datasets/sha256%3A05707c1dc04a814129f751937a6ea56b08413546b18b351a85bc96da16a7f8b5 for complete metadata about this dataset.

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/elections/election-results.aspx to determine whether the results have been certified.)

This statistic show the number of votes cast for the 2016 United States presidential elections in Ohio, by county. Donald Trump received a total of ******* votes in Franklin county, Ohio in the 2016 U.S. presidential election.

The County Presidential Election Returns 2000-2020 dataset describes the results of the various United States Presidential elections, broken out on a per county basis. It provides the details on the votes cast per candidate, the political party to whom the candidate belongs, and the mode by which the votes were cast. The data was collected by the MIT Election Data and Science Lab, and is housed on the Harvard Dataverse.

References: 1. https://electionlab.mit.edu/ 2. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ

The first map shows county-by-county results in the traditional red and blue colors. From a transportation perspective, one clear takeaway is that you could drive coast-to-coast without ever setting foot in a Clinton County.The second map comes courtesy of the Brookings Institution, and it tells a dramatically different story. While Secretary Clinton carried 2,000 fewer counties than Mr. Trump, her blue counties represent nearly two-thirds of the nation's Gross Domestic Product (GDP).Finally, the third map introduces some nuance to the stark contrast of the two other pictures. It depicts county-by-county results like the first map, but shows the margin of victory in a range of red and blue colors. The most striking thing to me about the third map is how many purple counties there are, where the vote margin was +/-10% for either Trump or Clinton. In other words, our closely divided county once again proved just how closely divided it is.My Christmas wish: that we can start emphasizing the close part more than the divided one.

The typical statewide or county-wide red/blue map (shown at left) depicts presidential voting results on a winner-take-all basis, so they award an entire geographical area to the Republican or Democratic candidate no matter how close the actual vote tally The large map in the attachment factors in both the percentage of the popular vote won by each candidate as well as the population density of each county. So, the sparsely populated Great Plains and Rocky Mountain West are shown in a much lighter color than the Eastern Seaboard, and the map as a whole is more purple than either red or blue. Perhaps the United States is less divided than some maps would lead us to believe.

This statistic show the number of votes cast for the 2016 United States presidential election in Colorado, by county. Donald Trump received a total of ******* votes in Clark county, Colorado in the 2016 U.S. presidential election.

These data files contain election results for both the 2012 and 2016 US Presidential Elections, include proportions of votes cast for Romney, Obama (2012) and Trump, Clinton (2016).

The election results were obtained from this Git repository: https://github.com/tonmcg/County_Level_Election_Results_12-16

The county facts data was obtained from another Kaggle election data set: https://www.kaggle.com/benhamner/2016-us-election

State, county, and New England town-level data of votes in United States Senate elections. Includes candidate names and parties. Cumulative state-level vote totals have been compiled by CCSS staff.

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 1990 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 Services. These files were last checked for updates on 19 February 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.

For additional information on file layout, etc. see: https://uselectionatlas.org/BOTTOM/DOWNLOAD/spread_national.html

Similar publically available state-level data dating back to 1976 is available at https://doi.org/10.7910/DVN/PEJ5QU

Precinct-level publically available data for 2016 is available at https://doi.org/10.7910/DVN/NLTQAD

This web map shows the Loudoun County elections results by districts (both county and Member House of Representatives 10th District), precinct and towns (Leesburg, Hillsboro and Middleburg) . The map was kept up-to-date during election night. For questions regarding the elections please contact the Office of Voter Registration & Elections. For questions regarding this application please contact the Office of Mapping and Geographic Information.