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.

This graph shows the democratic and republican percentages of two-party presidential vote in the U.S. 2008 by educational attainment. 72% of the voters with less than high school education voted for the democratic candidate.

This statistic shows the voting rates among citizens during presidential elections in the United States from 1964 to 2020, by education level. In 2020, the voting rate among citizens, with a bachelor's degree or higher level of education, stood at *****percent in the United States.

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

The Voting Habits dataset is a collection of data that provides insights into the voting behaviors of people based on their gender, race, education, and income. The dataset offers a valuable resource for researchers, social scientists, and policymakers who want to understand the factors that influence voting habits and preferences.

The dataset contains information collected from surveys and polls conducted in different countries. It includes data on the demographics of voters, such as their age, gender, race, education, and income, as well as their voting patterns in past elections.

The dataset is particularly useful for understanding the impact of social and economic factors on voting behavior. For example, researchers can use the dataset to explore how income and education levels influence political preferences, or how gender and race affect voting behavior.

Moreover, policymakers can use the insights gained from the dataset to develop strategies to encourage more people to participate in elections, improve voter turnout, and ensure that voting is more inclusive and representative.

Overall, the Voting Habits dataset is an essential resource for anyone interested in understanding the complex dynamics of voting behavior and developing effective policies to enhance democratic participation.

This graph shows the percentage of votes of the 2012 presidential elections in the United States on November 6, 2012, by education. According to the exit polls, about 51 percent of nationwide voters with a college degree have voted for Mitt Romney.

This data collection supplies standard monthly labor force data 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. This study contains individual-level data from a national sample of over 87,000 eligible voters in November 1976. Included is information on occupation, education, and voter registration status, as well as detailed data on individuals' voting behavior in the November 2, 1976, general election. Information on demographic characteristics, such as ages, sex, race, marital status, veteran status, educational attainment, and Hispanic origin, is available for each respondent.

This poll, fielded February 12-14, 2000, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked to give their opinions of President Bill Clinton and his handling of the presidency, foreign policy, and the economy. Views were sought on the condition of the national economy, the projected federal budget surplus, and the most important problem for the government to address in the coming year. Several questions asked how much attention respondents were paying to the 2000 presidential campaign, the likelihood that they would vote in the Republican or Democratic primary, which candidate they expected to win the nomination for each party, and for whom they would vote in the presidential primary and general election. Respondents were asked for their opinions of Republican presidential candidates George W. Bush, John McCain, and Alan Keyes, Democratic presidential candidates Al Gore and Bill Bradley, the main reason they held a favorable or unfavorable opinion of each candidate, and the importance of a candidate's personal qualities and position on issues. Opinions were also solicited of First Lady Hillary Clinton, former President George H.W. Bush, the Democratic, Republican, and Reform parties, and how well members of the United States Congress were handling their jobs. Additional topics included abortion, campaign finance reform, and the effect of elections on the federal government. Information was also collected on the importance of religion on respondents' lives, whether they had access to a computer, Internet access, and e-mail, whether they had served in the United States armed forces, and whether they had a child graduating high school in the class of 2000. Demographic variables include sex, race, age, marital status, household income, education level, religious preference, political party affiliation, political philosophy, voter participation history and registration status, the presence of children and teenagers in the household, and type of residential area (e.g., urban or rural).

This statistic shows the voting rate amongst adults of different age groups and levels of education in the United States in the 2016 presidential election. 20 percent of 18 to 24 year olds who had never finished high school reported voting in 2016, as opposed to 60 percent of bachelor's degree holders or higher in the same age group.

1) Data Introduction • The Voters and Non-Voters Dataset is based on surveys and polls conducted in various countries that collect voter and non-voters' voting behaviors and patterns based on demographic factors such as gender, race, education, and income.

2) Data Utilization (1) Voters and Non-Voters Dataset has characteristics that: • The dataset contains demographic information such as age, gender, race, education level, income, and variables related to voting behavior such as voting status and voting propensity in past elections. • It is designed to analyze the impact of socio-economic factors on voting participation and political preferences. (2) Voters and Non-Voters Dataset can be used to: • Analyzing Voting Behavior Influencing Factors: It can be used for statistical and machine learning analysis of how various factors such as income, education, gender, race, etc. affect voting participation rates and political choices. • Policy Development and Voter Engagement Strategy: It can be used as a basis for raising turnout and establishing inclusive election policies, which can be applied to developing strategies to increase voting participation of specific groups.

According to a September 2024 survey of adults in the United States, ** percent of those with a college degree said that they were definitely voting in the 2024 presidential election. In comparison, only ** percent of those without college degrees were definitely planning to vote in November.

Individual-level data on voter registration and participation in the 1984 Presidential election are provided in this survey. Included are data on citizenship, voting participation in both 1980 and 1984, the time of day voted, and whether the individual heard a media announcement of the projected winner prior to voting. Other data include the standard Current Population Survey monthly data on labor force activity for the week preceding the survey. Comprehensive information is available for persons age 14 and over on employment status, occupation, and industry, plus such demographic characteristics as age, sex, race, marital status, veteran status, education, and Spanish origin.

AP VoteCast is a survey of the American electorate conducted by NORC at the University of Chicago for Fox News, NPR, PBS NewsHour, Univision News, USA Today Network, The Wall Street Journal and The Associated Press.

AP VoteCast combines interviews with a random sample of registered voters drawn from state voter files with self-identified registered voters selected using nonprobability approaches. In general elections, it also includes interviews with self-identified registered voters conducted using NORC’s probability-based AmeriSpeak® panel, which is designed to be representative of the U.S. population.

Interviews are conducted in English and Spanish. Respondents may receive a small monetary incentive for completing the survey. Participants selected as part of the random sample can be contacted by phone and mail and can take the survey by phone or online. Participants selected as part of the nonprobability sample complete the survey online.

In the 2020 general election, the survey of 133,103 interviews with registered voters was conducted between Oct. 26 and Nov. 3, concluding as polls closed on Election Day. AP VoteCast delivered data about the presidential election in all 50 states as well as all Senate and governors’ races in 2020.

Using this Data - IMPORTANT

This is survey data and must be properly weighted during analysis: DO NOT REPORT THIS DATA AS RAW OR AGGREGATE NUMBERS!!

Instead, use statistical software such as R or SPSS to weight the data.

National Survey

The national AP VoteCast survey of voters and nonvoters in 2020 is based on the results of the 50 state-based surveys and a nationally representative survey of 4,141 registered voters conducted between Nov. 1 and Nov. 3 on the probability-based AmeriSpeak panel. It included 41,776 probability interviews completed online and via telephone, and 87,186 nonprobability interviews completed online. The margin of sampling error is plus or minus 0.4 percentage points for voters and 0.9 percentage points for nonvoters.

State Surveys

In 20 states in 2020, AP VoteCast is based on roughly 1,000 probability-based interviews conducted online and by phone, and roughly 3,000 nonprobability interviews conducted online. In these states, the margin of sampling error is about plus or minus 2.3 percentage points for voters and 5.5 percentage points for nonvoters.

In an additional 20 states, AP VoteCast is based on roughly 500 probability-based interviews conducted online and by phone, and roughly 2,000 nonprobability interviews conducted online. In these states, the margin of sampling error is about plus or minus 2.9 percentage points for voters and 6.9 percentage points for nonvoters.

In the remaining 10 states, AP VoteCast is based on about 1,000 nonprobability interviews conducted online. In these states, the margin of sampling error is about plus or minus 4.5 percentage points for voters and 11.0 percentage points for nonvoters.

Although there is no statistically agreed upon approach for calculating margins of error for nonprobability samples, these margins of error were estimated using a measure of uncertainty that incorporates the variability associated with the poll estimates, as well as the variability associated with the survey weights as a result of calibration. After calibration, the nonprobability sample yields approximately unbiased estimates.

As with all surveys, AP VoteCast is subject to multiple sources of error, including from sampling, question wording and order, and nonresponse.

Sampling Details

Probability-based Registered Voter Sample

In each of the 40 states in which AP VoteCast included a probability-based sample, NORC obtained a sample of registered voters from Catalist LLC’s registered voter database. This database includes demographic information, as well as addresses and phone numbers for registered voters, allowing potential respondents to be contacted via mail and telephone. The sample is stratified by state, partisanship, and a modeled likelihood to respond to the postcard based on factors such as age, race, gender, voting history, and census block group education. In addition, NORC attempted to match sampled records to a registered voter database maintained by L2, which provided additional phone numbers and demographic information.

Prior to dialing, all probability sample records were mailed a postcard inviting them to complete the survey either online using a unique PIN or via telephone by calling a toll-free number. Postcards were addressed by name to the sampled registered voter if that individual was under age 35; postcards were addressed to “registered voter” in all other cases. Telephone interviews were conducted with the adult that answered the phone following confirmation of registered voter status in the state.

Nonprobability Sample

Nonprobability participants include panelists from Dynata or Lucid, including members of its third-party panels. In addition, some registered voters were selected from the voter file, matched to email addresses by V12, and recruited via an email invitation to the survey. Digital fingerprint software and panel-level ID validation is used to prevent respondents from completing the AP VoteCast survey multiple times.

AmeriSpeak Sample

During the initial recruitment phase of the AmeriSpeak panel, randomly selected U.S. households were sampled with a known, non-zero probability of selection from the NORC National Sample Frame and then contacted by mail, email, telephone and field interviewers (face-to-face). The panel provides sample coverage of approximately 97% of the U.S. household population. Those excluded from the sample include people with P.O. Box-only addresses, some addresses not listed in the U.S. Postal Service Delivery Sequence File and some newly constructed dwellings. Registered voter status was confirmed in field for all sampled panelists.

Weighting Details

AP VoteCast employs a four-step weighting approach that combines the probability sample with the nonprobability sample and refines estimates at a subregional level within each state. In a general election, the 50 state surveys and the AmeriSpeak survey are weighted separately and then combined into a survey representative of voters in all 50 states.

State Surveys

First, weights are constructed separately for the probability sample (when available) and the nonprobability sample for each state survey. These weights are adjusted to population totals to correct for demographic imbalances in age, gender, education and race/ethnicity of the responding sample compared to the population of registered voters in each state. In 2020, the adjustment targets are derived from a combination of data from the U.S. Census Bureau’s November 2018 Current Population Survey Voting and Registration Supplement, Catalist’s voter file and the Census Bureau’s 2018 American Community Survey. Prior to adjusting to population totals, the probability-based registered voter list sample weights are adjusted for differential non-response related to factors such as availability of phone numbers, age, race and partisanship.

Second, all respondents receive a calibration weight. The calibration weight is designed to ensure the nonprobability sample is similar to the probability sample in regard to variables that are predictive of vote choice, such as partisanship or direction of the country, which cannot be fully captured through the prior demographic adjustments. The calibration benchmarks are based on regional level estimates from regression models that incorporate all probability and nonprobability cases nationwide.

Third, all respondents in each state are weighted to improve estimates for substate geographic regions. This weight combines the weighted probability (if available) and nonprobability samples, and then uses a small area model to improve the estimate within subregions of a state.

Fourth, the survey results are weighted to the actual vote count following the completion of the election. This weighting is done in 10–30 subregions within each state.

National Survey

In a general election, the national survey is weighted to combine the 50 state surveys with the nationwide AmeriSpeak survey. Each of the state surveys is weighted as described. The AmeriSpeak survey receives a nonresponse-adjusted weight that is then adjusted to national totals for registered voters that in 2020 were derived from the U.S. Census Bureau’s November 2018 Current Population Survey Voting and Registration Supplement, the Catalist voter file and the Census Bureau’s 2018 American Community Survey. The state surveys are further adjusted to represent their appropriate proportion of the registered voter population for the country and combined with the AmeriSpeak survey. After all votes are counted, the national data file is adjusted to match the national popular vote for president.

This data file does not represent new content, but instead it is the result of merging data from the 2000 NES, the 2002 NES, and the 2004 ANES Panel Study. The 2000 ANES contains questions in areas such as values and predispositions, media exposure, social altruism, and social networks. Special-interest and topical content includes a sizable battery on the Clinton legacy and a smaller retrospective battery on former President George H.W. Bush, new social trust questions specific to neighborhood and workplace, expanded content on civic engagement, questions related to the debate about campaign finance reform, and the first ANES time series appearance of measures on cognitive style. The 2002 ANES contains questions in areas such as social trust and civic engagement. Special-interest and topical content includes questions on the terrorist attacks of September 11, 2001, the war on terrorism, economic inequality, the 2000 Presidential election, recent corporate scandals, the 2001 tax cut, and proposed elimination of the estate tax. The 2004 phase of the panel study was given in large part to questions that capture the likely consequences of the election contest of 2000 and the terrorist attack of September 11th, as understood and interpreted by ordinary Americans. This included instrumentation on participation in political and civic life, satisfaction with democratic institutions, support for administration policy, and views on Afghanistan, Iraq, and homeland security. Demographic variables include sex, race, age, marital status, family income, education level, religious preference, political party affiliation, voter participation history, and registration status.

According to exit polling in the 2020 Presidential Election in the United States, ** percent of surveyed college graduate voters reported voting for former Vice President Joe Biden. In the race to become the next President of the United States, ** percent of voters without a college degree reported voting for incumbent President Donald Trump.

This special topic poll, conducted October 19-22, 2006, is part of a continuing series of monthly surveys that solicit public opinion on the current presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way George W. Bush was handling his job as president, whether they approved of the way Congress and their own representative in Congress was handling their job, and to rate the condition of the national economy. Registered voters were asked whether they followed the congressional elections, whether they were likely to vote, and which candidate they would vote for if the election were being held that day. Registered voters who had already voted absentee were asked which candidate they voted for, how enthusiastic they were about their vote, and whether their vote was more for one political party, or more against the other political party. Opinions were solicited on what was the most important issue in congressional elections, whether things in the country were generally going in the right direction, whether their reason for voting for a candidate for Congress included showing support for George W. Bush, which political party they trusted to do a better job handling issues such as the situation in Iraq and the economy, and whether they thought a change of control from the Republicans to the Democrats would be a good thing. Information was collected on whether respondents had been contacted by any organization working in support of a candidate for Congress and which political party they were asked to vote for, whether the 2006 congressional elections were more important to the country than past elections, and whether the war with Iraq was worth fighting. Additional questions asked how much Congress should be blamed for problems relating to the war with Iraq, how much credit Congress should get for preventing terrorist attacks, whether respondents felt optimistic about the situation in Iraq, and if the United States had the same kind of involvement in the war with Iraq as it did the Vietnam war. Demographic variables include sex, age, religion, race, education level, household income, labor union membership, voter registration and participation history, political party affiliation, political philosophy, employment status, marital status, and type of residential area (e.g., urban or rural).

The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset.

CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module.

Themes: MICRO-LEVEL DATA:

Identification and study administration variables: weighting factors;election type; date of election 1st and 2nd round; study timing (post election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election

Demography: age; gender; education; marital status; union membership; union membership of others in household; current employment status; main occupation; employment type - public or private; industrial sector; occupation of chief wage earner and of spouse; household income; number of persons in household; number of children in household under the age of 18; attendance at religious services; religiosity; religious denomination; language usually spoken at home; race; ethnicity; region of residence; rural or urban residence

Survey variables: respondent cast a ballot at the current and the previous election; respondent cast candidate preference vote at the previous election; satisfaction with the democratic process in the country; last election was conducted fairly; form of questionnaire (long or short); party identification; intensity of party identification; political parties care what people think; political parties are necessary; recall of candidates from the last election (name, gender and party); number of candidates correctly named; sympathy scale for selected parties and political leaders; assessment of the state of the economy in the country; assessment of economic development in the country; degree of improvement or deterioration of economy; politicians know what people think; contact with a member of parliament or congress during the past twelve months; attitude towards selected statements: it makes a difference who is in power and who people vote for; people express their political opinion; self-assessment on a left-right-scale; assessment of parties and political leaders on a left-right-scale; political information items

DISTRICT-LEVEL DATA:

number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district

MACRO-LEVEL DATA:

founding year of parties; ideological families of parties; international organization the parties belong to; left-right position of parties assigned by experts; election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; electoral alliances permitted during the election campaign; existing electoral alliances; most salient factors in the election; head of state (regime type); if multiple rounds: selection of head of state; direct election of head of state and process of direct election; threshold for first-round victory; procedure for candidate selection at final round; simple majority or absolute majority for 2nd round victory; year of presidential election (before or after this legislative election); process if indirect election of head of state; head of government (president or prime minister); selection of prime minister; number of elected legislative chambers; for lower and upper houses was coded: number of electoral segments; number of primary districts; number of seats; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; compulsory voting; votes cast; voting procedure; electoral formula; party threshold; parties can run joint lists; requirements for joint party lists; possibility of apparentement; types of apparentement agreements; multi-party endorsements; multi-party endorsements on ballot; ally party support; constitu...

Statistics by precinct for odd-year elections in Ramsey County, Minnesota.

Financial overview and grant giving statistics of Voter Registration Project Education Fund

Review of Economics and Statistics: Forthcoming. Visit https://dataone.org/datasets/sha256%3A7cf78aef631225aacec263792e7697d4c0aae01ee79c8da5a72ce72a800ca601 for complete metadata about this dataset.