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 45 and 64. In comparison, 84 percent of Black voters between the ages of 18 and 29 reported voting for Kamala Harris.

According to exit polling in ten key states of the 2024 presidential election in the United States, 57 percent of surveyed white voters reported voting for Donald Trump. In contrast, 85 percent of Black voters 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 men between the ages of 45 and 64. In comparison, 61 percent of women between the ages of 18 and 29 reported voting for Kamala Harris.

According to exit polling in ten key states of the 2024 presidential election in the United States, almost two-thirds of voters who had never attended college reported voting for Donald Trump. In comparison, a similar share of voters with advanced degrees reported voting for Kamala Harris.

This project crosses the results of the 2024 European elections with INSEE demographic data at IRIS level (2020), for the whole of metropolitan France.

This join is done geographically, thanks to the reconstruction of the geometry of the polling stations produced by this other project

The aim is to allow for fine-grained demographic statistics on recent political trends.

Github depot: https://github.com/raphaeljolivet/eu2024-stats-iris

According to results on November 6, 2024, former President Donald Trump had received 277 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 312 electoral votes.

Candidates need 270 votes to become the next President of the United States.

According to exit polls for the 2024 New Hampshire Republican primary, former President Donald Trump led the way among the majority of voters in the U.S. despite the age of voter. However, the vote was split more evenly among voters 65 and older, with Trump receiving 53 percent of the vote, and former South Carolina Governor Nikki Haley receiving 45 percent of the vote. Florida Governor Ron DeSantis remained on the ballot despite dropping out of the race just days prior to the New Hampshire primaries.

This research note employs aggregate State level data to analyze the results of the 2024 US presidential election, and to explore the role played by gender and race in Kamala Harris’s defeat. The Democratic party failed to capitalize on the characteristics of its presidential candidate and, compared to Biden’s election, to expand its support in states with larger female and African American electorates, and faced systematic losses in those with more Hispanic voters. This note contributes to a cumulative macro-micro approach to the analysis of election results, and thus to overcoming both ecological and micrological fallacies.

Abstract: This repository contains the full dataset and model implementation for the analysis of voting patterns in Romania's 2024 presidential elections, focusing on the relationship between territorial economic structures and electoral preferences. The models estimate vote dominance at LAU level using sectoral, demographic, and regional predictors, including spatial autoregression. Particular attention is given to the overrepresentation of Bucharest in national-level FDI statistics, which is corrected through a GDP-based imputation model. For reproducibility, the repository includes: Cleaned and structured input data (LAU, NUTS3), all modelling scripts in R, Tableau maps for visual analysis and public presentation.File DescriptionsLAU.csvThis dataset contains the local-level electoral and socio-economic data for all Romanian LAU2 units used in the spatial and statistical analyses. The file is used as the base for all models and includes identifiers for merging with the shapefile or spatial weights. It includes:- Electoral results by presidential candidate (2024, simulated),- Dominant vote type per locality,- Sectoral employment categories,- Demographic variables (ethnicity, education, age),- Regional and metropolitan classifications,- Weights for modelling.NUTS3.csvThis dataset provides county-level economic indicators (GDP and FDI) over the period 2011–2022. The file supports the construction of regional indicators such as FDI-to-GDP ratios and export structure. Notably, the file includes both original and corrected values of FDI for Bucharest, following the imputation procedure described in the model script.model.RThis R script contains the full modelling pipeline. The script includes both a model variant with Bucharest excluded and an alternative version using corrected FDI values, confirming the robustness of coefficients across specifications. It includes:- Pre-processing of LAU and NUTS3 data,- Imputation of Bucharest FDI using a linear model on GDP,- Survey-weighted logistic regression models for vote dominance per candidate,- Multinomial and hierarchical logistic models,- Seemingly Unrelated Regressions (SUR),- Spatial error models (SEM),- Principal Component Analysis on SEM residuals,- Latent dominance prediction using softmax transformation,- Export of predicted latent vote maps.Maps.twbxThis Tableau workbook contains all final cartographic representations.The workbook uses a consistent colour palette based on candidate-typified economic structures (industry, services, agriculture, shrinking).- Choropleth maps of dominant vote by candidate,- Gradients reflecting latent probabilities from spatial models,- Maps of residuals and ideological factor scores (PCA-derived),- Sectoral economic geographies per county and per locality,- Overlay of dominant vote and sectoral transformation types.

During the weeks leading up to the presidential election, early voting began in almost all states, with over 80 million ballots being cast nationally as of Election Day. Although 39 percent of mail-in and early in-person votes were cast by voters aged 65 or older, ten percent of those aged 18 to 29 years old voted early.

2024 General Election: Trump vs. Biden | RealClearPolling

Voting data for the November 2024 election in Roanoke County, Virginia, by voting district. Includes presidential, Senate, House of Representatives, and Town of Vinton results. Data from here.

This data set consists of all Fulton County Election results from April 2012 to present. Included with each record is the race, candidate, precinct, number of election day votes, number of absentee by mail votes, number of advance in person votes, number of provisional votes, total number of votes, name of election, and date of election. This data set is updated after each election.

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

In the first round of the French legislative elections in 2024, 48 percent of voters aged 18-24 voted for the New Popular Front coalition. However, the older the voters were, the less likely they were to vote for the leftist alliance. On the other hand, the presidential majority score grew proportionally with the voter's age group. For instance, 32 percent of the 70 and older voted for Emmanuel Macron's party. Finally, the far-right National Rally won around 30 and 40 percent of votes, regardless of the age group.

2024 General Election: Trump vs. Biden vs. Kennedy vs. West vs. Stein | RealClearPolling

According to exit polls for the 2024 Iowa Republican caucuses, former President Donald Trump led the way among voters between the ages 45 and older. The vote was split more evenly among young voters, with 22 percent voting for Trump, 30 percent for DeSantis, 25 percent for Haley, and 21 percent for Ramaswamy. DeSantis, Ramaswamy, and Hutchinson dropped out of the presidential race shortly after the Iowa caucuses

According to exit polling in ten key states of the 2024 presidential election in the United States, 46 percent of voters with a 2023 household income of 30,000 U.S. dollars or less reported voting for Donald Trump. In comparison, 51 percent of voters with a total family income of 100,000 to 199,999 U.S. dollars reported voting for Kamala Harris.

According to exit polls for the 2024 Iowa Republican caucuses, former President Donald Trump led the way among just under half of male voters. The vote was split fairly evenly across both men and women in the state, with Trump receiving 53 percent of votes among women. Ron DeSantis came in second, with 21 percent of votes from men and 22 percent of votes from women. DeSantis, Ramaswamy, and Hutchinson dropped out of the presidential race shortly after the Iowa caucuses.

Despite the complex geopolitical and economic context, Europeans continue to value EU membership and remain quite optimistic regarding its future. A large and stable majority of Europeans (72%) think that their country has benefited from EU membership. The main reasons for thinking this are that the EU contributes to maintaining peace and strengthening security (34%) and membership of the EU improves co-operation between countries of the EU (34%).

Processed data

Processed data files for the Eurobarometer surveys are published in .xlsx format.

• Volume A "Countries/EU" The file contains frequencies and means or other synthetic indicators including elementary bivariate statistics describing distribution patterns of (weighted) replies for each country or territory and for (weighted) EU results.
• Volume AP "Previous survey trends" The file compares to the previous poll in (weighted) frequencies and means (or other synthetic indicators including elementary bivariate statistics describing distribution patterns of replies); shifts for each country or territory foreseen in Volume A and for (weighted) results.
• Volume AA "Groups of countries" The file contains (labelled) frequencies and means or other synthetic indicators including elementary bivariate statistics describing distribution patterns of (weighted) replies for groups of countries specified by the managing unit on the part of the EC.
• Volume AAP "Trends of groups of countries" The file contains shifts compared to the previous poll in (weighted) frequencies and means (or other synthetic indicators including elementary bivariate statistics describing distribution patterns of replies); shifts for each groups of countries foreseen in Volume AA and for (weighted) results.
• Volume B "EU/socio-demographics" The file contains (labelled) frequencies and means or other synthetic indicators including elementary bivariate statistics describing distribution patterns of replies for the EU as a whole (weighted) and cross-tabulated by some 20 sociodemographic, socio-political or other variables, depending on the request from the managing unit on the part of the EC or the managing department of the other contracting authorities.
• Volume BP "Trends of EU/socio-demographics" The file contains shifts compared to the previous poll in (weighted) frequencies and means (or other synthetic indicators including elementary bivariate statistics describing distribution patterns of replies); shifts for each country or territory foreseen in Volume B above)and for (weighted) results.
• Volume C "Country/socio-demographics" The file contains (labelled) weighted frequencies and means or other synthetic indicators including elementary bivariate statistics describing distribution patterns of replies for each country or territory surveyed separately and cross-tabulated by some 20 socio-demographic, socio-political or other variables (including a regional breakdown).
• Volume D "Trends"" The file compares to previous polls in (weighted) frequencies and means (or other synthetic indicators including elementary bivariate statistics describing distribution patterns of replies); shifts for each country or territory foreseen in Volume A and for (weighted) results. _

For SPSS files and questionnaires, please contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer