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TwitterPROBLEM 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.
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TwitterThe City of Somerville completed the first-ever Participatory Budgeting cycle in 2023. In Participatory Budgeting, residents submit ideas for how to improve Somerville with one million dollars; volunteers score and select the 20 best ideas; and residents vote on the final ideas. This dataset describes the demographics and satisfaction of residents who voted on the best ideas. After voting for the final Participatory Budgeting ideas, voters were invited to an optional survey to voluntarily submit their demographic information and indicate their satisfaction with the Participatory Budgeting process. Demographics were not connected to votes to preserve anonymity. Open text comments have also been removed from the open dataset for privacy.
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TwitterThis web map displays data from the voter registration database as the percent of registered voters by census tract in King County, Washington. The data for this web map is compiled from King County Elections voter registration data for the years 2013-2019. The total number of registered voters is based on the geo-location of the voter's registered address at the time of the general election for each year. The eligible voting population, age 18 and over, is based on the estimated population increase from the US Census Bureau and the Washington Office of Financial Management and was calculated as a projected 6 percent population increase for the years 2010-2013, 7 percent population increase for the years 2010-2014, 9 percent population increase for the years 2010-2015, 11 percent population increase for the years 2010-2016 & 2017, 14 percent population increase for the years 2010-2018 and 17 percent population increase for the years 2010-2019. The total population 18 and over in 2010 was 1,517,747 in King County, Washington. The percentage of registered voters represents the number of people who are registered to vote as compared to the eligible voting population, age 18 and over. The voter registration data by census tract was grouped into six percentage range estimates: 50% or below, 51-60%, 61-70%, 71-80%, 81-90% and 91% or above with an overall 84 percent registration rate. In the map the lighter colors represent a relatively low percentage range of voter registration and the darker colors represent a relatively high percentage range of voter registration. PDF maps of these data can be viewed at King County Elections downloadable voter registration maps. The 2019 General Election Voter Turnout layer is voter turnout data by historical precinct boundaries for the corresponding year. The data is grouped into six percentage ranges: 0-30%, 31-40%, 41-50% 51-60%, 61-70%, and 71-100%. The lighter colors represent lower turnout and the darker colors represent higher turnout. The King County Demographics Layer is census data for language, income, poverty, race and ethnicity at the census tract level and is based on the 2010-2014 American Community Survey 5 year Average provided by the United States Census Bureau. Since the data is based on a survey, they are considered to be estimates and should be used with that understanding. The demographic data sets were developed and are maintained by King County Staff to support the King County Equity and Social Justice program. Other data for this map is located in the King County GIS Spatial Data Catalog, where data is managed by the King County GIS Center, a multi-department enterprise GIS in King County, Washington. King County has nearly 1.3 million registered voters and is the largest jurisdiction in the United States to conduct all elections by mail. In the map you can view the percent of registered voters by census tract, compare registration within political districts, compare registration and demographic data, verify your voter registration or register to vote through a link to the VoteWA, Washington State Online Voter Registration web page.
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TwitterThe table ME-Demographic-2025-08-28 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 1107173 rows across 698 variables.
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TwitterThe table DE-Demographic-2025-07-24 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 761967 rows across 698 variables.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data is from the US Census Bureau and is self-reported.
To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/8242/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8242/terms
This data collection contains electoral and demographic data for Massachusetts counties and cities during 1848-1876. The data for this collection were compiled to study electoral changes in Massachusetts politics during the Civil War period and to link the changes to socioeconomic determinants of support for the Republican and Democratic parties. Specific variables include number of voters for specific years and demographic information such as number of males and females and number of males employed in certain trades. Electoral data consists of election results.
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TwitterIn 2024, 80.5 percent of people aged between 65 and 74 years old were registered to vote in the United States - the highest share of any age group. In comparison, 58.3 percent of 18 to 24 year-olds were registered to vote in that year.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Electoral registrations for parliamentary and local government elections as recorded in electoral registers for England, Wales, Scotland and Northern Ireland.
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TwitterUnited States presidential elections are quadrennial elections that decide who will be the President and Vice President of the United States for the next four years. Voter turnout has ranged between 54 and 70 percent since 1964, with white voters having the highest voter turnout rate (particularly when those of Hispanic descent are excluded). In recent decades, turnout among black voters has got much closer to the national average, and in 2008 and 2012, the turnout among black voters was higher than the national average, exceeded only by non-Hispanic white voters; this has been attributed to Barack Obama's nomination as the Democratic nominee in these years, where he was the first African American candidate to run as a major party's nominee. Turnout among Asian and Hispanic voters is much lower than the national average, and turnout has even been below half of the national average in some elections. This has been attributed to a variety of factors, such as the absence of voting tradition in some communities or families, the concentration of Asian and Hispanic communities in urban (non-swing) areas, and a disproportionate number of young people (who are less likely to vote).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The information system of the Central Electoral Commission accumulates notations about the voter's vote. The dataset consists of four tables: "Election Rounds", "Electoral Districts", "Voters", "Voter Markings". The table "Election rounds" contains the election identification number, election name, election round identification number, election round number, information about the current election and the date of the election round. In the table "Electoral districts" you can find information about the district identification number and the name of the district during certain elections. The "Voters" table publishes the pseudonymized personal codes, gender and year of birth of individual voters (year of birth records are modified by adding random values to ensure confidentiality). The "Voter markings" table shows the marking of a certain voter's vote in specific elections. In the table you can find information about pseudonymized personal codes, the election round and the district where the vote was taken. For technical questions or possible errors, contact atverimas@stat.gov.lt.
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TwitterThe table CO-Demographic-2025-08-01 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4022482 rows across 698 variables.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/60/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/60/terms
This data collection supplies standard monthly labor force infomation for the week prior to the survey. Comprehensive information is given on the employment status, occupation and industry of persons 14 years old and older. Supplemental data on voter registration status, as well as detailed data on respondets' voting behavior in the November 7, 1972 general election is included. Information on demographic characteristics such as age, sex, race, martial status, veteran status, educational attainment, and household relationship, is available for each respondent.
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TwitterThe table AL-Demographic-2025-07-29 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 3597096 rows across 698 variables.
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TwitterAccording to exit polling in ten key states of the 2024 presidential election in the United States, ** percent of surveyed white voters reported voting for Donald Trump. In contrast, ** percent of Black voters reported voting for Kamala Harris.
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TwitterIn the 1824 U.S presidential election, which was the first where a popular vote was used to determine the overall winner, approximately three percent of the U.S. population voted in the election, while only one percent actually voted for the winner. Over the following decades, restrictions that prevented non-property owning males from voting were gradually repealed, and almost all white men over the age of 21 could vote by the 1856 election. The next major development was the 15th Amendment to the U.S. Constitution following the American Civil War, which granted suffrage to all male citizens of voting age, regardless of race. Turnout then grew to almost twenty percent at the turn of the century, however Jim Crow laws played a large part in keeping these numbers lower than they potentially could have been, by disenfranchising black communities in the south and undoing much of the progress made during the Reconstruction Era. Extension of voting rights Female suffrage, granted to women in 1920, was responsible for the largest participation increase between any two elections in U.S. history. Between the 1916 and 1920 elections, overall turnout increased by almost seven percent, and it continued to grow to 38 percent by the 1940 election; largely due to the growth in female participation over time. Following a slight reduction during the Second World War and 1948 elections, turnout remained at between 36 and forty percent from the 1950s until the 1990s. Between these decades, the Voting Rights Act of 1965 and the Twenty-Sixth Amendment in 1971 respectively re-enfranchised many black voters in the south and reduced the voting age in all states from 21 to 18 years old. Participation among female voters has also exceeded male participation in all elections since 1980. Recent trends The 1992 election was the first where more than forty percent of the total population cast ballots, and turnout has been above forty percent in all presidential elections since 2004. Along with the extension of voting rights, the largest impact on voter turnout has been the increase in life expectancy throughout the centuries, almost doubling in the past 150 years. As the overall average age has risen, so too has the share of the total population who are eligible to vote, and older voters have had the highest turnout rates since the 1980s. Another factor is increased political involvement among ethnic minorities; while white voters have traditionally had the highest turnout rates in presidential elections, black voters turnout has exceeded the national average since 2008. Asian and Hispanic voter turnouts have also increased in the past twenty years, with the growing Hispanic vote in southern and border states expected to cause a major shift in U.S. politics in the coming decades.
In terms of the most popular presidents, in the 1940 election, Franklin D. Roosevelt became the first president to have been elected by more than one fifth of the total population. Three presidents were elected by more than 22 percent of the total population, respectively Lyndon B. Johnson in 1964, Richard Nixon in 1972 and Barack Obama in 2008, while Ronald Reagan's re-election in 1984 saw him become the only president in U.S. history to win with the support of more than 23 percent of the total population. While the vote count for the 2020 election is still to be finalized, President-elect Joe Biden has already received 81.28 million votes as of December 02, which would also translate to over 24.5 percent of the total population, and will likely near 25 percent by the end of the counting process.
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TwitterModeled vote choice of geographic, demographic, and turnout subgroups with survey and ecological data in the US. The current version models Presidential vote choice in 2016 and 2020 for each contemporaneous congressional district and each of four racial groups. The methodology is introduced and explained in Kuriwaki et al. (2023). “The Geography of Racially Polarized Voting: Calibrating Surveys at the District Level.” American Political Science Review. https://osf.io/mk9e6/
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TwitterAccording to exit polling in ten key states of the 2024 presidential election in the United States, Donald Trump received the most support from white voters between the ages of ** and **. In comparison, ** percent of Black voters between the ages of ** and ** reported voting for Kamala Harris.
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TwitterVoter Registration Statistics (Geographical Constituencies, Functional Constituencies, Election Committee Subsectors and Election Committee)
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TwitterThe table OR-Demographic-2025-07-02 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 3398746 rows across 698 variables.
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TwitterPROBLEM 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.