EPILOGUE: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F360751%2Fa5eefdb31428bd5ce99cdf76fa484a63%2Fmap.jpg?generation=1733007717460285&alt=media" alt="">

FINAL UPDATE: It's election night, and the results are coming in. The final update includes the latest poll data from 538, which is from two days ago. Thanks all for following the development of this dataset.

OCTOBER UPDATE: The past month has been typical of the final weeks before the election - rallies, interviews, and advertising. This update includes a transcript of the VP debate between Walz and Vance, and the latest poll summaries.

SEPTEMBER UPDATE: Trump and Harris had their first debate. This update includes the transcript and recent poll results. Also, there was a second attempt to kill former President Trump! No shots fired though on this one. You'll see aerial diagrams of both attempts in the dataset.

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https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F360751%2F0ecedf88421c303e0112734a30de9e29%2Frouth.jpg?generation=1726701011377683&alt=media">

LATE AUGUST UPDATE: The Democratic Party replaced President Biden with his VP, Kamala Harris. It's now Trump v Harris along with one nominee from each of the smaller factions.

https://external-content.duckduckgo.com/iu/?u=https%3A%2F%2Fmedia.cnn.com%2Fapi%2Fv1%2Fimages%2Fstellar%2Fprod%2F240122181719-trump-kamala-vpx-split-2.jpg%3Fc%3D16x9%26q%3Dw_850%2Cc_fill&f=1&nofb=1&ipt=984b6cf55cf55e1539003ca1c1beaa359625f6e5b08b511b3b018c9d2c959ae5&ipo=imagesg">

https://upload.wikimedia.org/wikipedia/commons/thumb/e/e7/Chase_Oliver%2C_Jill_Stein_%26_Randall_Terry_%2853866448015%29.jpg/1280px-Chase_Oliver%2C_Jill_Stein_%26_Randall_Terry_%2853866448015%29.jpg">

AUGUST UPDATE: This election season just gets crazier and crazier. You'll see new data related to the assassination attempt on former President Trump. There are transcripts of Secret Service hearings and an annotated image of the rally area.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F360751%2F75dd20a00c2ac6d81c6d6e1f83cbd941%2Fdonald-trump-rally-shooting-2024-113.webp?generation=1722800392288670&alt=media">

JULY UPDATE: Added the transcript of the debate between Trump and Biden.

MAY UPDATE: Added some new polls and also a meta-poll assessing the quality of select pollsters.

APRIL UPDATE : The dataset now contains approval ratings for sitting presidents, which includes Biden and Trump.

MARCH UPDATE: As of last week, the presumptive nominees are Joe Biden(D) and Donald Trump(R). They also ran against each other in 2020. Robert F Kennedy Jr is running as an independent.

Presidential elections occur quadrennially in years evenly divisible by 4, on the first Tuesday after November 1. Presidential candidates from the major political parties usually declare their intentions to run as early as the spring of the previous calendar year before the election. The two major parties each nominate one candidate through a process of primary elections and nominating conventions during the election year. (source: Wikipedia)

This dataset contains data on candidates, primary/caucus results, polls, and debate transcripts. Updates and additional data will be added as the landscape develops.

Note: Version 3 of this dataset contains previous coverage of the 2022 Congressional Mid-term Elections.

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

According to results on November 6, 2024, former President Donald Trump had received *** Electoral College votes in the race to become the next President of the United States, securing him the presidency. With all states counted, Trump received a total of *** electoral votes. Candidates need *** votes to become the next President of the United States.

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.

Description:

This dataset contains comprehensive voting data for the 2024 US elections, focusing on general ballot measures. This information includes voting results from various sources and tracking public opinion about political parties and candidates across states and demographic groups. Each item in the dataset represents a specific poll. Along with detailed information about the dates of the polls. Survey organization, sample size, margin of error, Percentage of respondents supporting each political party or candidates

Key Features:

Poll Date:The date when the poll was conducted.

Polling Organization: The name of the organization that conducted the poll.

Sample Size: The number of respondents in the poll.

Margin of Error: The statistical margin of error for the poll results.

Party/Candidate Support: Percentage of respondents who support each political party or candidate.

State/Demographics: Geographic and demographic breakdowns of the polling data.

Use Cases:

Analyzing trends in public opinion leading up to the 2024 U.S. elections. Comparing support for different political parties and candidates over time. Studying the impact of key events on voter preferences. Informing political strategies and campaign planning.

This dataset provides detailed county-level returns for U.S. gubernatorial 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 a machine-readable county-level CSV file, and a state-level CSV file. 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.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.

This data file contains constituency (district) returns for elections to the U.S. House of Representatives from 1976 to 2024.

This dataset provides county and state-level returns for U.S. Senate 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 (county and state levels). A 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.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.

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.

The Voter Participation indicator presents voter turnout in Champaign County as a percentage, calculated using two different methods.

In the first method, the voter turnout percentage is calculated using the number of ballots cast compared to the total population in the county that is eligible to vote. In the second method, the voter turnout percentage is calculated using the number of ballots cast compared to the number of registered voters in the county.

Since both methods are in use by other agencies, and since there are real differences in the figures that both methods return, we have provided the voter participation rate for Champaign County using each method.

Voter participation is a solid illustration of a community’s engagement in the political process at the federal and state levels. One can infer a high level of political engagement from high voter participation rates.

The voter participation rate calculated using the total eligible population is consistently lower than the voter participation rate calculated using the number of registered voters, since the number of registered voters is smaller than the total eligible population.

There are consistent trends in both sets of data: the voter participation rate, no matter how it is calculated, shows large spikes in presidential election years (e.g., 2008, 2012, 2016, 2020, 2024) and smaller spikes in intermediary even years (e.g., 2010, 2014, 2018, 2022). The lowest levels of voter participation can be seen in odd years (e.g., 2015, 2017, 2019, 2021, 2023).

This data primarily comes from the election results resources on the Champaign County Clerk website. Election results resources from Champaign County include the number of ballots cast and the number of registered voters. The results are published frequently, following each election.

Data on the total eligible population for Champaign County was sourced from the U.S. Census Bureau, using American Community Survey (ACS) 1-Year Estimates for each year starting in 2005, when the American Community Survey was created. The estimates are released annually by the Census Bureau.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because this data is not available for Champaign County, the eligible voting population for 2020 is not included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes datasets on Population by Sex and Population Under 18 Years by Age.

Sources: Champaign County Clerk Historical Election Data; U.S. Census Bureau; American Community Survey, 2024 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (24 November 2025).; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (10 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (5 October 2023).; Champaign County Clerk Historical Election Data; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (7 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (8 June 2021).; Champaign County Clerk Election History; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (13 May 2019).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (13 May 2019).; U.S. Census Bureau; American Community Survey, American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (6 March 2017).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey 2012 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).