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.

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.

The table DE-Demographic-2025-05-10 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 749390 rows across 698 variables.

It is perhaps no surprise that adults in the United States who identify as Democrats are far more likely to favor the legalization of abortion, with 42 percent of Democrats surveyed in 2024 supporting the legalization of abortion under any circumstance. This position was supported by only six percent of Republicans.

According to a survey conducted in December 2024, around 39 percent of Americans had a very unfavorable view of Donald Trump, while 30 percent of Americans held a very favorable view. Donald Trump was elected President of the United States in November 2024. The former president will be sworn in for a second term on January 20, 2025. Shifting perceptions of trustworthiness Despite the significant portion of Americans who view Trump unfavorably, his perceived trustworthiness has shown improvement over time. A September 2024 survey found that 41 percent of registered voters considered Trump honest and trustworthy, marking an increase from 38 percent in 2016. Policy proposals and partisan support Trump's policy proposals have continued to garner strong support from his Republican base while facing opposition from Democrats. An August 2024 survey showed roughly 85 percent of Republicans backing Trump's plan to arrest and deport thousands of illegal immigrants, compared to only 22 percent of Democrats. This stark partisan divide on key policy issues reflects the broader polarization in Trump's favorability ratings.

The table AZ-Demographic-2025-05-05 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 4409001 rows across 698 variables.

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.

The table VT-Demographic-2025-05-10 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 473218 rows across 698 variables.

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

The table WY-Demographic-2025-05-10 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 342649 rows across 698 variables.

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

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.

2024 General Election: Trump vs. Biden | RealClearPolling

This dataset shows the race for the 2024 Republican White House nomination which is about to heat up as two long-tipped contenders enter the fray.

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.

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.

The table ME-Demographic-2025-05-10 is part of the dataset L2 Voter and Demographic Dataset, available at https://stanford.redivis.com/datasets/t6qv-ad1vt3wqf. It contains 1112351 rows across 698 variables.

Voting Reminder Civic App Market Outlook

According to our latest research, the global Voting Reminder Civic App market size reached USD 1.13 billion in 2024, reflecting robust growth driven by increasing digitization of civic engagement and rising voter awareness initiatives. The market is projected to grow at a CAGR of 17.8% from 2025 to 2033, reaching an estimated USD 5.17 billion by 2033. This expansion is primarily fueled by advancements in mobile technology, heightened governmental and non-governmental focus on improving voter turnout, and the proliferation of smartphones and internet connectivity worldwide.

A key growth driver for the Voting Reminder Civic App market is the escalating demand for digital tools that streamline and enhance voter engagement. Governments and advocacy groups are increasingly leveraging mobile and web-based platforms to disseminate timely election reminders, provide accurate polling location information, and educate voters on electoral processes. The convenience and accessibility offered by these apps have proven crucial in boosting voter participation, especially among younger demographics who are more inclined to use digital solutions. Moreover, the integration of personalized notifications and real-time updates has made these applications indispensable for modern election campaigns and civic outreach efforts.

Another significant factor propelling the growth of the Voting Reminder Civic App market is the global trend towards transparent and accountable democratic processes. In response to declining voter turnout rates in several regions, both governmental and non-profit organizations are investing in innovative technologies to ensure that citizens are well-informed and motivated to participate in elections. The ability of these apps to deliver localized, relevant, and timely information has transformed the way election stakeholders interact with the electorate. Additionally, the adoption of advanced analytics and data-driven insights within these platforms enables organizations to tailor their outreach strategies, further enhancing the effectiveness of voter engagement campaigns.

The proliferation of smartphones and increased internet penetration, particularly in emerging economies, is further accelerating the adoption of Voting Reminder Civic Apps. As mobile connectivity becomes ubiquitous, even in rural and remote areas, these apps are bridging the digital divide and empowering previously underserved populations with critical electoral information. The widespread availability of affordable smartphones and the growing digital literacy among citizens are making it easier for organizations to reach a broader audience. Furthermore, the ongoing global shift towards remote and digital services, accelerated by the COVID-19 pandemic, has underscored the importance of digital civic engagement tools, positioning the Voting Reminder Civic App market for sustained growth in the coming years.

From a regional perspective, North America currently dominates the Voting Reminder Civic App market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced technological infrastructure, high smartphone penetration, and proactive efforts by government agencies and civil society organizations to boost voter turnout. Europe follows closely, driven by similar factors and a strong emphasis on digital democracy. Meanwhile, the Asia Pacific region is expected to witness the fastest growth over the forecast period, owing to rapid urbanization, expanding internet access, and increasing political engagement among younger populations. Latin America and the Middle East & Africa are also experiencing steady growth, supported by ongoing digital transformation initiatives and rising civic awareness.

Component Analysis

The Voting Reminder Civic App market is segmented by component into Software and Services. Software solutions form the backbone of this market, providing the core platforms that enable voter engagement, election reminders, and information dissemination. These software platforms are continually evolving, incorporating advanced features such as push notifications, geolocation services, and personalized content delivery to enhance user experience and drive higher engagement rates. The competitive landscape within the software segment is characterized by rapid innovation, with vendors striving to develop intuitive, secure, an

Abstract

The L2 Voter and Demographic Dataset includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.

Methodology

To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.

Usage

For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the LALVOTERIDvariable. One can also use the LALVOTERIDvariable to link the L2 Voter and Demographic Dataset with the L2 Consumer Dataset.

In addition, the LALVOTERIDvariable can be used to validate the state. For example, let's look at the LALVOTERID = LALCA3169443. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the RESIDENCE_ADDRESSES_STATEvariable, which should have a value of 'CA' (California).

The date appended to each table name represents when the data was last updated. These dates will differ state by state because states update their voter files at different cadences.

The demographic files use 698 consistent variables. For more information about these variables, see 2025-01-10-VM2-File-Layout.xlsx.

The voter history files have different variables depending on the state. The ***2025-07-09-L2-Voter-Dictionaries.tar.gz file contains .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should mirror the 2025-01-10-VM2-File-Layout.xlsx*** file, the voter file data dictionaries will be unique to each state.

***2025-04-24-National-File-Notes.pdf ***contains L2 Voter and Demographic Dataset ("National File") release notes from 2018 to 2025.

***2025-07-09-L2-Voter-Fill-Rate.tar.gz ***contains .tab files tracking the percent of non-null values for any given field.

Bulk Data Access

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DataMapping Tool

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According to exit polling in ten key states of the 2024 presidential election in the United States, ** percent of Protestant Christian voters reported voting for Donald Trump. In comparison, only ** percent of Jewish voters reported voting for Trump.