According to exit polling in ten key states of the 2024 presidential election in the United States, Donald Trump received the most support from men between the ages of ** and **. In comparison, ** percent of women between the ages of ** and ** reported voting for Kamala Harris.

According 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.

During the weeks leading up to the presidential election, early voting began in almost all states, with over ** million ballots being cast nationally as of Election Day. Although ** percent of mail-in and early in-person votes were cast by voters aged 65 or older, ** percent of those aged 18 to 29 years old voted early.

According to an October 2024 survey, young Americans were much more likely to vote for Kamala Harris in the November 2024 presidential elections. Of those between the ages of 18 and 29, 60 percent said they were planning on voting for Harris, compared to 33 percent who said they planned on voting for Trump. In contrast, Trump was much more popular among those between 45 and 64 years old.

According to a 2023 survey of young adults in the United States, just over half of Americans between 18 and 24 years old were planning on voting in the 2024 presidential election. The likelihood among those between the ages of ** and ** was only slightly greater.

This data collection contains voter registration and turnout surveys. The files contain summaries at state, town, and county levels. Each level of data include: total population, total voting-age population, total voter registration (excluding ND, WI), total ballots cast, total votes cast for president, and voter registration by party. Note: see the documentation for information on missing data.

Dave Leip's website

The Dave Leip website here: https://uselectionatlas.org/BOTTOM/store_data.php lists the available data. Files are occasionally 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. These files were last updated on 9 JUL 2024.

Note that file version numbers are those assigned to them by Dave Leip's Election Atlas. Please refer to the 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_turnout.html.

Similar data may be available at https://www.electproject.org/election-data/voter-turnout-data dating back to 1787.

Election Data Attribute Field Definitions | Wisconsin Cities, Towns, & Villages Data Attributes Ward Data Overview: January 2025 municipal wards were collected in January 2025 by LTSB through LTSB's GeoData Collector. Current statutes require each county clerk, or board of election commissioners, no later than January 15 and July 15 of each year, to transmit to the LTSB, in an electronic format (approved by LTSB), a report confirming the boundaries of each municipality, ward and supervisory district within the county as of the preceding “snapshot” date of January 1 or July 1 respectively. Population totals for 2025 wards were estimated by aggregating 2020 US Census PL94-171 population data. LTSB has NOT topologically integrated the data. Election Data Overview: The 2024 Wisconsin election data that is included in this file was collected by LTSB from the *Wisconsin Elections Commission (WEC) after the general election. A disaggregation process was performed on this election data based on the municipal ward layer that was available at the time of the election. Disaggregation of Election Data: Election data is first disaggregated from reporting units to wards, and then to census blocks. Next, the election data is aggregated back up to wards, municipalities, and counties. The disaggregation of election data to census blocks is done based on total population. Detailed Methodology:Data is disaggregated first from reporting unit (i.e. multiple wards) to the ward level proportionate to the population of that ward.The data then is distributed down to the block level, again based on total population.When data is disaggregated to block or ward, we restrain vote totals not to exceed population 18 numbers, unless absolutely required.This methodology results in the following: Election data totals reported to the WEC at the state, county, municipal and reporting unit level should match the disaggregated election data total at the same levels. Election data totals reported to the WEC at ward level may not match the ward totals in the disaggregated election data file.Some wards may have more election data allocated than voter age population. This will occur if a change to the geography results in more voters than the 2020 historical population limits.Other things of note… We use a static, official ward layer (in this case created in 2025) to disaggregate election data to blocks. Using this ward layer creates some challenges. New wards are created every year due to annexations and incorporations. When these new wards are reported with election data, an issue arises wherein election data is being reported for wards that do not exist in our official ward layer. For example, if "Cityville" has four wards in the official ward layer, the election data may be reported for five wards, including a new ward from an annexation. There are two different scenarios and courses of action to these issues: When a single new ward is present in the election data but there is no ward geometry present in the official ward layer, the votes attributed to this new ward are distributed to all the other wards in the municipality based on population percentage. Distributing based on population percentage means that the proportion of the population of the municipality will receive that same proportion of votes from the new ward. In the example of Cityville explained above, the fifth ward may have five votes reported, but since there is no corresponding fifth ward in the official layer, these five votes will be assigned to each of the other wards in Cityville according the percentage of population.Another case is when a new ward is reported, but its votes are part of reporting unit. In this case, the votes for the new ward are assigned to the other wards in the reporting unit by population percentage; and not to wards in the municipality as a whole. For example, Cityville’s ward five was given as a reporting unit together with wards 1, 4, and 5. In this case, the votes in ward five are assigned to wards one and four according to population percentage. Outline Ward-by-Ward Election ResultsThe process of collecting election data and disaggregating to municipal wards occurs after a general election, so disaggregation has occurred with different ward layers and different population totals. We have outlined (to the best of our knowledge) what layer and population totals were used to produce these ward-by-ward election results.Election data disaggregates from WEC Reporting Unit -> Ward [Variant year outlined below]Elections 1990 – 2000: Wards 1991 (Census 1990 totals used for disaggregation)Elections 2002 – 2010: Wards 2001 (Census 2000 totals used for disaggregation)Elections 2012: Wards 2011 (Census 2010 totals used for disaggregation)Elections 2014 – 2016: Wards 2018 (Census 2010 totals used for disaggregation)Elections 2018: Wards 2018 (Census 2010 totals used for disaggregation)Elections 2020: Wards 2020 (Census 2020 totals used for disaggregation)Elections 2022: Wards 2022 (Census 2020 totals used for disaggregation)Elections 2024: Wards 2025 (Census 2020 totals used for disaggregation)Blocks -> Centroid geometry and spatially joined with Wards [All Versions]Each Block has an assignment to each of the ward versions outlined above.In the event that a ward exists now in which no block exists due to annexations, a block centroid was created with a population 0, and encoded with the proper Census IDs.Wards [All Versions] disaggregate -> Blocks This yields a block centroid layer that contains all elections from 1990 to 2024.Blocks [with all election data] -> Wards 2025 (then MCD 2025, and County 2025) All election data (including later elections) is aggregated to the Wards 2025 assignment of the blocks.Notes:Population of municipal wards 1991, 2001, 2011, 2020, 2022, and 2025 used for disaggregation were determined by their respective Census.Population and Election data will be contained within a county boundary. This means that even though MCD and ward boundaries vary greatly between versions of the wards, county boundaries have stayed the same, so data should total within a county the same between wards 2011 and wards 2025.Election data may be different for the same legislative district, for the same election, due to changes in the wards from 2011 and 2025. This is due to boundary corrections in the data from 2011 to 2025, and annexations, where a block may have been reassigned.*WEC replaced the previous Government Accountability Board (GAB) in 2016, which replaced the previous State Elections Board in 2008.

According to a presidential candidate survey conducted among Indonesians in January 2024, over 72 percent of respondents aged below 21 years intended to vote for the presidential and vice presidential candidate pair Prabowo Subianto and Gibran Rakabuming Raka. The voting share for this candidate pair tends to increase as the age group gets lower. Indonesia's presidential election was held on February 14, 2024. Out of over 204 million registered voters, more than half were young voters, encompassing Generation Y and Generation Z.

Electoral registrations for parliamentary and local government elections as recorded in electoral registers for England, Wales, Scotland and Northern Ireland.

According 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.

Enrolment statistics are published every month by the Electoral Commission showing how many people of Māori descent are currently enrolled to vote broken down by electorate and age.

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Since 1964, voter turnout rates in U.S. presidential elections have generally fluctuated across all age groups, falling to a national low in 1996, before rising again in the past two decades. Since 1988, there has been a direct correlation with voter participation and age, as people become more likely to vote as they get older. Participation among eligible voters under the age of 25 is the lowest of all age groups, and in the 1996 and 2000 elections, fewer than one third of eligible voters under the age of 25 participated, compared with more than two thirds of voters over 65 years.

The table AK-Voter-History-2025-06-26 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 579388 rows across 495 variables.

The table MO-Voter-History-2025-07-30 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4134384 rows across 884 variables.

A survey measuring levels of engagement with political news in the United States found that older adults were by far the most likely to get news about politics and elections from journalists and news organizations, with 78 percent of adults aged 65 years or above saying they did so. Meanwhile, adults aged 18 to 29 years old were the likeliest to go to friends, family, or neighbors for updates about elections and politics.

The 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.

As of July 2025, the political party that 18 to 24 year-old's in Great Britain would be most likely to vote for was the Labour Party, at 33 percent, with Labour also the most popular party among those aged 25 to 49. Reform UK was the most popular party for the 50 to 64 age group, with 29 percent of voters saying they would vote for them. For the oldest age group, the Reform was also the most popular, with 35 percent of over 65s intending to vote for them. Reform surge in the polls Since winning the last UK general election in July 2024, the ruling Labour Party have steadily become more unpopular among voters. After winning 33.7 percent of the vote in that election, the party was polling at 24 percent in April 2025, only slightly ahead of Reform UK on 23 percent. A right-wing populist party, Reform benefited from the collapse in support for the center-right Conservative Party in the last election, winning several seats at their expense. While the next UK general election is not due to be held until 2029, the government will be keen to address their collapsing approval ratings, in the face of Reform's rising support. Economic headaches for Labour in 2025 Although Labour inherited a growing economy, with falling inflation, and low unemployment from the Conservatives, the overall economic outlook for the UK is still quite gloomy. The country's government debt is around 100 percent of GDP, and without large tax rises and spending cuts, the government hopes to create a stronger, more resilient economy to reduce the deficit. While this is still a possibility, the UK's economic prospects for 2025 were recently slashed, with growth of one percent forecast, down from an earlier prediction of two percent. Although mainly due to external factors such as the threat of increasing tariffs, and general geopolitical instability, the UK's faltering economy will add further problems to the embattled government.

Technical info (English)

The survey was conducted through online interviews using the CAWI (Computer Assisted Web Interview) method within a sample of 1,558 adults residing in Italy, distributed by area of residence, gender, age, and the party voted for in the 2024 European elections.

The interviews were administered between 10 and 19 July 2024.

The methods used to identify the final units were random, similar to probabilistic samples. All parameters are aligned with the most recent data provided by ISTAT. The data were weighted to ensure representativeness concerning area of residence, age, gender, and the party voted for in the 2024 European elections. The statistical margin of error for the reported data is 2.5% with a 95% confidence interval.

Variable name	Variable description	Variable type	Values and coding
ID	Interviewee ID	Numeric
Q006	Interviewee date	String	Date (format: DD/MM/YYYY)
Q008	Gender	Numeric	1 = Male, 2 = Female, 3 = Non-binary/Other
Q009	Date of birth	String	Date (format: DD/MM/YYYY)
Q010	Age	Numeric	Age of the interviewee in years
Q011	Year of birth	Numeric	Year of birth
Q012	Age group	Numeric	1 = 18-24 years, 2 = 25-34 years, 3 = 35-44 years, 4 = 45-54 years, 5 = 55-64 years, 6 = Over 64 years
Q013	Municipality of residence	Numeric	ISTAT code of the municipality of residence
Q014	Region of residence	Numeric	1 = Piedmont 2 = Aosta Valley 3 = Lombardy 4 = Trentino-Alto Adige 5 = Veneto 6 = Friuli Venezia Giulia 7 = Liguria 8 = Emilia Romagna 9 = Tuscany 10 = Umbria 11 = Marche 12 = Lazio 13 = Abruzzo 14 = Molise 15 = Campania 16 = Apulia 17 = Basilicata 18 = Calabria 19 = Sicily 20 = Sardinia, 21=Abroad
Q015	Province of residence	Numeric	Numerical code of the province of residence
Q016	Geographic area (5 macro-areas)	Numeric	1 = North-West 2 = North-East 3 = Centre 4 = South 5 = Islands
Q017	Gender indicator or other (robots/non-binary)	String	1 = Male 2 = Female
Q018	Gender (ZES)	Numeric	1 = Male 2 = Female
Q019	Education level	Numeric	1 = Elementary/no qualification 2 = Lower secondary 3 = Upper secondary in progress 4 = Professional diploma 5 = High school diploma 6 = University in progress 7 = Short university degree 8 = Bachelor’s degree 9 = Master’s degree 10 =postgraduate master's degree, 11=PhD
Q020	Vote cast in the 2024 European elections	Numeric	1 = Brothers of Italy 2 = League 3 = Forza Italia 4 = Democratic Party 5 = Green-Left Alliance 6 = Five Star Movement 7 = United States of Europe 8 = Calenda’s Action 9 = Peace Land Dignity 10 = Freedom of De Luca 11 = Other party 12 = Did not vote 13 = Blank/null vote 14 = Prefer not to say
Q021	Vote cast in the 2024 European elections (second control variable)	Numeric	1 = Brothers of Italy 2 = Lega 3 = Forza Italia 4 = Democratic Party 5 = Green-Left Alliance 6 = Five Star Movement 7 = United States of Europe 8 = Calenda’s Action 9 = Peace Land Dignity 10 = Freedom of De Luca 11 = Other party 12 = Did not vote 13 = Blank/null vote 14 = Prefer not to say
Q022_01	The government carries out secret acts of violence	Numeric	1 = Strongly disagree 2 = Disagree 3 = Neither agree nor disagree 4 = Agree 5 = Strongly agree
Q022_02	Events manipulated by small secret groups	Numeric	1 = Strongly disagree 2 = Disagree 3 = Neither agree nor disagree 4 = Agree 5 = Strongly agree
Q022_03	Evidence of alien contact hidden from the public	Numeric	1 = Strongly disagree 2 = Disagree 3 = Neither agree nor disagree 4 = Agree 5 = Strongly agree
Q022_04	Experiments on drugs conducted without consent	Numeric	1 = Strongly disagree 2 = Disagree 3 = Neither agree nor disagree 4 = Agree 5 = Strongly agree
Q022_05	Advanced technologies hidden for personal interests	Numeric	1 = Strongly disagree 2 = Disagree 3 = Neither agree nor disagree 4 = Agree 5 = Strongly agree
Q023_01	Immigration and the replacement of European populations	Numerica	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q023_02	Creation of viruses like COVID-19 in a laboratory	Numerica	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q023_03	Population control through vaccines and 5G	Numerica	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q023_04	Aliens and their alleged presence among politicians	Numerica	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q023_05	The Holocaust and its veracity	Numerica	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q023_06	Flat Earth theory	Numeric	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q023_07	Chemtrails and climate control	Numeric	1 = Completely true, 2 = Mostly true, 3 = Neither true nor false, 4 = Mostly false, 5 = Completely false
Q024_01	Politicians and their respect for the people's will	Numeric	1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree
Q024_02	The role of the people in political decisions	Numeric	1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree
Q024_03	Perceived differences between the elite and the people	Numeric	1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree
Q024_04	Preference for a specialised politician vs. an ordinary citizen	Numeric	1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree
Q024_05	Politicians and their work	Numeric	1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree
Q024_06	Compromise in politics	Numeric	1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree
Q025_01	Trust in the Italian

The table IA-Demographic-2025-06-16 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 2031252 rows across 698 variables.