59 datasets found
  1. d

    Voter Registration by Census Tract

    • catalog.data.gov
    • data.kingcounty.gov
    • +1more
    Updated Jun 29, 2025
    + more versions
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    data.kingcounty.gov (2025). Voter Registration by Census Tract [Dataset]. https://catalog.data.gov/dataset/voter-registration-by-census-tract
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.kingcounty.gov
    Description

    This 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.

  2. L2 Voter and Demographic Dataset

    • stanford.redivis.com
    • redivis.com
    application/jsonl +7
    Updated Jul 18, 2025
    + more versions
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    Stanford University Libraries (2025). L2 Voter and Demographic Dataset [Dataset]. http://doi.org/10.57761/6yqv-jy76
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    csv, sas, parquet, arrow, spss, application/jsonl, stata, avroAvailable download formats
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    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 ***2025-07-16-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.

    ***2025-07-16-L2-Voter-Fill-Rate.tar.gz ***contains .tab files tracking the percent of non-null values for any given field.

    Bulk Data Access

    Data access is required to view this section.

    DataMapping Tool

    Data access is required to view this section.

  3. Voter turnout in U.S. presidential elections by age 1964-2020

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Voter turnout in U.S. presidential elections by age 1964-2020 [Dataset]. https://www.statista.com/statistics/1096299/voter-turnout-presidential-elections-by-age-historical/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  4. n

    L2 Political Academic Voter File, 2022-11-22 Delivery

    • ultraviolet.library.nyu.edu
    Updated Apr 25, 2025
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    L2 Data Company (2025). L2 Political Academic Voter File, 2022-11-22 Delivery [Dataset]. http://doi.org/10.58153/9jd9e-hc714
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    L2 Data Company
    Time period covered
    Sep 14, 2022 - Dec 5, 2022
    Description

    NYU Libraries has licensed access to the L2 Political Academic Voter File. The file is a continuously updated dataset consisting of public information for every registered voter in the United States and includes basic socio-demographic indicators (some of which are modeled), consumer preferences, political party affiliation, voting history, and more.

    The data consists of .tab files organized into individual state folders (all states and DC). Each state folder contains two files: demographics data and voter history data, with a data dictionary for each dataset. The size of the folders vary by state and data for all states adds up to approximately 40 GB. The data is organized into releases, generally two per year (spring and fall), which represent a snapshot of the country's voters at the time of the dataset creation.

    NYU has also licensed access to L2 Political historical backlog of data. This backlog includes versions of the L2 Processed voter file going back to 2008 (for most U.S. states) and unprocessed "raw" state voter rolls, also going back to 2008 for most U.S. states.

    This collection is available to NYU faculty and students only, and requires user to first submit a data management plan to account for how access and storage of the data will be handled. Information on how to submit a request to use this data and create a data management plan is available at https://guides.nyu.edu/l2political.

  5. Data Confrontation Seminar, 1969: Comparative Socio-Political Data

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    Inter-university Consortium for Political and Social Research (2006). Data Confrontation Seminar, 1969: Comparative Socio-Political Data [Dataset]. http://doi.org/10.3886/ICPSR00038.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38/terms

    Time period covered
    1969
    Area covered
    Global, Netherlands, Poland, Germany, Norway, Sweden, Japan, France, Denmark, India
    Description

    This study contains selected electoral and demographic national data for nine nations in the 1950s and 1960s. The data were prepared for the Data Confrontation Seminar on the Use of Ecological Data in Comparative Cross-National Research held under the auspices of the Inter-university Consortium for Political and Social Research on April 1-18, 1969. One of the primary concerns of this international seminar was the need for cooperation in the development of data resources in order to facilitate exchange of data among individual scholars and research groups. Election returns for two or more national and/or local elections are provided for each of the nine nations, as well as ecological materials for at least two time points in the general period of the 1950s and 1960s. While each dataset was received at a single level of aggregation, the data have been further aggregated to at least a second level of aggregation. In most cases, the data can be supplied at the commune or municipality level and at the province or district level as well. Part 1 (Germany, Regierungsbezirke), Part 2 (Germany, Kreise), Part 3 (Germany, Lander), and Part 4 (Germany, Wahlkreise) contain data for all kreise, laender (states), administrative districts, and electoral districts for national elections in the period 1957-1969, and for state elections in the period 1946-1969, and ecological data from 1951 and 1961. Part 5 (France, Canton), and Part 6 (France, Departemente) contain data for the cantons and departements of two regions of France (West and Central) for the national elections of 1956, 1962, and 1967, and ecological data for the years 1954 and 1962. Data are provided for election returns for selected parties: Communist, Socialist, Radical, Federation de Gauche, and the Fifth Republic. Included are raw votes and percentage of total votes for each party. Ecological data provide information on total population, proportion of total population in rural areas, agriculture, industry, labor force, and middle class in 1954, as well as urbanization, crime rates, vital statistics, migration, housing, and the index of "comforts." Part 7 (Japan, Kanagawa Prefecture), Part 8 (Japan, House of Representatives Time Series), Part 9 (Japan, House of (Councilors (Time Series)), and Part 10 (Japan, Prefecture) contain data for the 46 prefectures for 15 national elections between 1949 and 1968, including data for all communities in the prefecture of Kanagawa for 13 national elections, returns for 8 House of Representatives' elections, 7 House of Councilors' elections, descriptive data from 4 national censuses, and ecological data for 1950, 1955, 1960, and 1965. Data are provided for total number of electorate, voters, valid votes, and votes cast by such groups as the Jiyu, Minshu, Kokkyo, Minji, Shakai, Kyosan, and Mushozoku for the Communist, Socialist, Conservative, Komei, and Independent parties for all the 46 prefectures. Population characteristics include age, sex, employment, marriage and divorce rates, total number of live births, deaths, households, suicides, Shintoists, Buddhists, and Christians, and labor union members, news media subscriptions, savings rate, and population density. Part 11 (India, Administrative Districts) and Part 12 (India, State) contain data for all administrative districts and all states and union territories for the national and state elections in 1952, 1957, 1962, 1965, and 1967, the 1958 legislative election, and ecological data from the national censuses of 1951 and 1961. Data are provided for total number of votes cast for the Congress, Communist, Jan Sangh, Kisan Mazdoor Praja, Socialist, Republican, Regional, and other parties, contesting candidates, electorate, valid votes, and the percentage of valid votes cast. Also included are votes cast for the Rightist, Christian Democratic, Center, Socialist, and Communist parties in the 1958 legislative election. Ecological data include total population, urban population, sex distribution, occupation, economically active population, education, literate population, and number of Buddhists, Christians, Hindus, Jainis, Moslems, Sikhs, and other religious groups. Part 13 (Norway, Province), and Part 14 (Norway, Commune) consist of the returns for four national elections in 1949, 1953, 1957, and 1961, and descriptive data from two national censuses. Data are provided for the total number

  6. A

    ‘US non-voters poll data’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘US non-voters poll data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-us-non-voters-poll-data-782f/496780e9/?iid=032-479&v=presentation
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Analysis of ‘US non-voters poll data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/us-non-voters-poll-datae on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    This dataset contains the data behind Why Many Americans Don't Vote.

    Data presented here comes from polling done by Ipsos for FiveThirtyEight, using Ipsos’s KnowledgePanel, a probability-based online panel that is recruited to be representative of the U.S. population. The poll was conducted from Sept. 15 to Sept. 25 among a sample of U.S. citizens that oversampled young, Black and Hispanic respondents, with 8,327 respondents, and was weighted according to general population benchmarks for U.S. citizens from the U.S. Census Bureau’s Current Population Survey March 2019 Supplement. The voter file company Aristotle then matched respondents to a voter file to more accurately understand their voting history using the panelist’s first name, last name, zip code, and eight characters of their address, using the National Change of Address program if applicable. Sixty-four percent of the sample (5,355 respondents) matched, although we also included respondents who did not match the voter file but described themselves as voting “rarely” or “never” in our survey, so as to avoid underrepresenting nonvoters, who are less likely to be included in the voter file to begin with. We dropped respondents who were only eligible to vote in three elections or fewer. We defined those who almost always vote as those who voted in all (or all but one) of the national elections (presidential and midterm) they were eligible to vote in since 2000; those who vote sometimes as those who voted in at least two elections, but fewer than all the elections they were eligible to vote in (or all but one); and those who rarely or never vote as those who voted in no elections, or just one.

    The data included here is the final sample we used: 5,239 respondents who matched to the voter file and whose verified vote history we have, and 597 respondents who did not match to the voter file and described themselves as voting "rarely" or "never," all of whom have been eligible for at least 4 elections.

    If you find this information useful, please let us know.

    License: Creative Commons Attribution 4.0 International License

    Source: https://github.com/fivethirtyeight/data/tree/master/non-voters

    This dataset was created by data.world's Admin and contains around 6000 samples along with Race, Q27 6, technical information and other features such as: - Q4 6 - Q8 3 - and more.

    How to use this dataset

    • Analyze Q10 3 in relation to Q8 6
    • Study the influence of Q6 on Q10 4
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit data.world's Admin

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  7. T

    Voter Participation in Statewide General Elections

    • data.countyofnapa.org
    application/rdfxml +5
    Updated Jun 22, 2023
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    California Secretary of State (2023). Voter Participation in Statewide General Elections [Dataset]. https://data.countyofnapa.org/Demographics/Voter-Participation-in-Statewide-General-Elections/exsi-s2nd
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    xml, csv, json, application/rssxml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jun 22, 2023
    Dataset authored and provided by
    California Secretary of State
    Description

    Data Source: CA Secretary of State

    This data biography shares the how, who, what, where, when, and why about this dataset. We, the epidemiology team at Napa County Health and Human Services Agency, Public Health Division, created it to help you understand where the data we analyze and share comes from. If you have any further questions, we can be reached at epidemiology@countyofnapa.org.

    Data dashboard featuring this data: Demographics https://data.countyofnapa.org/stories/s/bu3n-fytj

    How was the data collected? The California Secretary of State's Elections Division is responsible for maintaining a database of all registered voters as well as coordinating the counting of votes after elections. Voter participation is defined here as the percentage of eligible voters who actually voted.

    Who was included and excluded from the data? The term "eligible voters" refers to the population of US citizens aged 18 years or older who currently reside in the voting jurisdiction and who are not in prison or on parole for a felony and who have not been declared mentally incompetent.

    Where was the data collected?  Voter registration data and election results are collected throughout California. This subset of data includes Napa County and California.

    How often is the data collected? Statewide General Elections are held the Tuesday after the first Monday in November on even years.

    Where can I learn more about this data? https://www.sos.ca.gov/elections/prior-elections/statewide-election-results

  8. Electoral statistics for the UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Apr 11, 2024
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    Office for National Statistics (2024). Electoral statistics for the UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/elections/electoralregistration/datasets/electoralstatisticsforuk
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    xlsxAvailable download formats
    Dataset updated
    Apr 11, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

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

  9. Voting Ward Demographics

    • data.milwaukee.gov
    csv
    Updated Feb 14, 2025
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    Election Commission (2025). Voting Ward Demographics [Dataset]. https://data.milwaukee.gov/dataset/voting-ward-demographics
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    csv(12373)Available download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Election commission
    Authors
    Election Commission
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  10. H

    Reallocating U.S. Election Results from Precincts to Census Geographies

    • dataverse.harvard.edu
    Updated Apr 22, 2025
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    Amir Fekrazad (2025). Reallocating U.S. Election Results from Precincts to Census Geographies [Dataset]. http://doi.org/10.7910/DVN/Z8TSH3
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 22, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Amir Fekrazad
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Voting precincts are the most granular spatial units for reporting election outcomes, whereas census geographies, such as block groups, census tracts, and ZIP Code Tabulation Areas (ZCTAs), are commonly used for publishing demographic, economic, health, and environmental data. This dataset bridges the two by reallocating precinct-level votes to standard census geographies through a systematic and replicable framework. The reallocation assumes that votes within each precinct are distributed proportionally to the household population. Household population counts from census block groups—the smallest census unit with regularly updated population estimates—are used to allocate votes to fractions created by the intersection of precinct and census boundaries. This process is implemented using three allocation strategies: areal weighting, impervious surface weighting, and Regionalized Land Cover Regression (RLCR). Results from all three methods are provided. Among these, the RLCR method demonstrates the highest accuracy based on validation against voter-level ground truth data and is recommended as the primary version for analysis. The alternative methods may serve as robustness checks or sensitivity tests. The dataset currently includes the 2016 and 2020 U.S. general elections and is designed for seamless integration with other datasets, such as the American Community Survey (ACS), CDC PLACES, or IRS Statistics of Income (SOI), via the GEOID field.

  11. A

    ‘🗳 VEP Turnout’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘🗳 VEP Turnout’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-vep-turnout-bfbf/latest
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘🗳 VEP Turnout’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/vep-turnoute on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    Files:

    National level

    National and state level

    Turnout rates by demographic breakdown, 1986-2018, from the Census Bureau's Current Population Survey, November Voting and Registration Supplement (or CPS for short). These tables are corrected for vote overreporting bias. For uncorrected weights see the source link.

    For more information on these files see the source link below.

    Source: Data prepared and maintained by Dr. Michael P. McDonald at the University of Florida, at electproject.org

    Updated: synced from source weekly

    License: CC-BY

    This dataset was created by Government and contains around 100 samples along with Unnamed: 7, Denominators, technical information and other features such as: - Unnamed: 4 - Unnamed: 5 - and more.

    How to use this dataset

    • Analyze Unnamed: 16 in relation to Unnamed: 14
    • Study the influence of Unnamed: 12 on Unnamed: 9
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Government

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  12. g

    Data from: CSES Module 1 Full Release

    • search.gesis.org
    • pollux-fid.de
    Updated Dec 15, 2015
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    Rotman, David; McAllister, Ian; Levitskaya, Irina; Veremeeva, Natalia; Billiet, Jaak; Frognier, André-Paul; Blais, André; Gidengil, Elisabeth; Nevitte, Neil; Nadeau, Richard; Lagos, Marta; Tóka, Gábor; Andersen, Jørgen G.; Schmitt, Hermann; Weßels, Bernhard; Curtice, John; Heath, Anthony; Norris, Pippa; Jowell, Roger; Pang-kwong, Li; Tóka, Gábor; Hardarson, Ólafur T.; Arian, Asher; Shamir, Michal; Nishizawa, Yoshitaka; Lee, Nam-Young; Alisauskiene, Rasa; Liubsiene, Elena; Beltrán, Ulises; Nacif Hernández, Benito; Aimer, Peter; Aarts, Kees; Karp, Jeffrey A.; Banducci, Susan; Vowles, Jack; Aardal, Bernt; Valen, Henry; Romero, Catalina; Jasiewicz, Krzysztof; Markowski, Radoslaw; Barreto, Antonio; Freire, Andre; Badescu, Gabriel; Sum, Paul; Colton, Timothy; Kozyreva, Polina; Stebe, Janez; Tos, Niko; Díez Nicolás, Juan; Holmberg, Sören; Hardmeier, Sibylle; Selb, Peter; Chu, Yun-Han; Albritton, Robert B.; Bureekul, Thawilwadee; American National Election Studies (ANES), Center for Political Studies, Institute for Social Research, University of Michigan, Ann Arbor, United States; Balakireva, Olga; Sapiro, Virginia; Shively, W. Phillips (2015). CSES Module 1 Full Release [Dataset]. http://doi.org/10.7804/cses.module1.2015-12-15
    Explore at:
    (3606453), (4515804), (5729184), (3010508), (4164222), (6088669)Available download formats
    Dataset updated
    Dec 15, 2015
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Rotman, David; McAllister, Ian; Levitskaya, Irina; Veremeeva, Natalia; Billiet, Jaak; Frognier, André-Paul; Blais, André; Gidengil, Elisabeth; Nevitte, Neil; Nadeau, Richard; Lagos, Marta; Tóka, Gábor; Andersen, Jørgen G.; Schmitt, Hermann; Weßels, Bernhard; Curtice, John; Heath, Anthony; Norris, Pippa; Jowell, Roger; Pang-kwong, Li; Tóka, Gábor; Hardarson, Ólafur T.; Arian, Asher; Shamir, Michal; Nishizawa, Yoshitaka; Lee, Nam-Young; Alisauskiene, Rasa; Liubsiene, Elena; Beltrán, Ulises; Nacif Hernández, Benito; Aimer, Peter; Aarts, Kees; Karp, Jeffrey A.; Banducci, Susan; Vowles, Jack; Aardal, Bernt; Valen, Henry; Romero, Catalina; Jasiewicz, Krzysztof; Markowski, Radoslaw; Barreto, Antonio; Freire, Andre; Badescu, Gabriel; Sum, Paul; Colton, Timothy; Kozyreva, Polina; Stebe, Janez; Tos, Niko; Díez Nicolás, Juan; Holmberg, Sören; Hardmeier, Sibylle; Selb, Peter; Chu, Yun-Han; Albritton, Robert B.; Bureekul, Thawilwadee; American National Election Studies (ANES), Center for Political Studies, Institute for Social Research, University of Michigan, Ann Arbor, United States; Balakireva, Olga; Sapiro, Virginia; Shively, W. Phillips
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Feb 3, 1996 - Aug 4, 2002
    Variables measured
    A2001 - AGE, A2020 - RACE, A2002 - GENDER, A1001 - DATASET, A2003 - EDUCATION, A2021 - ETHNICITY, A2016 - RELIGIOSITY, A1022 - STUDY TIMING, A1015 - ELECTION TYPE, A5014 - HEAD OF STATE, and 294 more
    Description

    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...

  13. d

    Replication data for: Five Studies on the Causes and Consequences of Voter...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Fowler, Anthony (2023). Replication data for: Five Studies on the Causes and Consequences of Voter Turnout [Dataset]. http://doi.org/10.7910/DVN/ADRXBA
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Fowler, Anthony
    Time period covered
    Jan 1, 1900 - Jan 1, 2012
    Description

    In advanced democracies, many citizens abstain from participating in the political process. Does low and unequal voter turnout influence partisan election results or public policies? If so, how can participation be increased and how can the electorate become more representative of the greater population? Study 1 examines the adoption of compulsory voting laws in Australia in order to assess the effects of near-universal turnout. When new, working class voters were brought the polls Aus tralia saw significant changes in election results and public policy. Study 2 explores the partisan consequences of marginal changes in voter turnout in the United States by comparing the partisan preferences of regular and marginal voters. Across three independent tests and settings, marginal voters are significantly more supportive of the Democratic Party compared to regular voters. Studies 3 and 4 examine several potential cures for low turnout. Study 3 examines the common view that social capital and community participation will increase political participation, a claim that has not been rigorously tested. Exploiting the timing of saint’s day fiestas in Mexico and a change in the Mexican electoral calendar, this study finds that social capital and community engagement appear to be substitutes rather than complements for political participation. Study 4 tests another widely held view that increased electoral competition will boost electoral participation, but a range of tests finds little support for this hypothesis. Finally, Study 5 demonstrates that marginal increases in voter turnout will not necessarily make the electorate more representative of the greater population. Get-out-the-vote interventions have been shown to increase turnout si gnificantly and they are widely touted as beneficial for democracy, but surprisingly, these interventions actually increase inequalities in turnout by primarily mobilizing more of the types of citizens who were already voting. In short, low voter turnout and inequalities in voter turnout have significant political and policy consequences, but the problem is hard to fix. Even seemingly benign cures like social capital, electoral competition, and voter mobilization have little benefit or may even be detrimental. Complete date fields below for: time period covered; and date of collection

  14. e

    CSES Module 4 Fourth Advance Release Comparative Study of Electoral Systems...

    • b2find.eudat.eu
    Updated Jul 23, 2025
    + more versions
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    (2025). CSES Module 4 Fourth Advance Release Comparative Study of Electoral Systems (2011-2016) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/f5529218-667e-542b-8354-1340583b4bd4
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    Dataset updated
    Jul 23, 2025
    Description

    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; language of questionnaire. Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country. Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government’s action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month. 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: 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; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties. Individual level: Modes of data collection differ across countries. A standardized questionnaire was administered in face-to-face interviews, telephone interviews or as fixed form self-administered questionnaire. District level: Aggregation of official electoral statistics. Country level: Expert survey using fixed form self-administered questionnaire. The universe differs across countries. In most countries it includes eligible voters or residents aged 18 or older. Sampling procedures differ across countries. In most cases multistage stratified cluster sampling or stratified systematic random sampling was used. Detailed information on sampling for most countries is available in the codebook.

  15. s

    Electoral participation in last provincial election

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Sep 14, 2015
    + more versions
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    Government of Canada, Statistics Canada (2015). Electoral participation in last provincial election [Dataset]. http://doi.org/10.25318/4510002601-eng
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    Dataset updated
    Sep 14, 2015
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

    Electoral participation in last provincial election, by sex and age group, Canada and provinces, 2013.

  16. d

    Voting Precincts

    • catalog.data.gov
    • data.nola.gov
    • +3more
    Updated Jul 12, 2025
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    data.nola.gov (2025). Voting Precincts [Dataset]. https://catalog.data.gov/dataset/voting-precincts-89e6e
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.nola.gov
    Description

    Boundaries of Orleans Parish voting precincts as defined by the New Orleans City Charter. New Orleans voting precincts are drawn according to the New Orleans Home Rule Charter as required by the State of Louisiana. A precinct is defined in the state of Louisiana's election code as the smallest political unit of a ward having defined geographical boundaries. Precinct boundaries were updated September 25, 2015, in order to satisfy population changes discovered by the Orleans Registrar of Voters Office. The changes have been made by the City of New Orleans and verified by the Louisiana Secretary of State's Office. Information about voter registation can be found here: https://www.sos.la.gov/ElectionsAndVoting/Pages/RegistrationStatisticsParish.aspx https://www.municode.com/library/la/new_orleans/codes/code_of_ordinances?nodeId=PTIICO_CH58EL_ARTIIELPRState LawRS 18:532. Establishment of precinctsA. Subject to the provisions of R.S. 18:532.1 and 1903, the governing authority of each parish shall establish precincts, define the territorial limits for which each precinct is established, prescribe their boundaries, and designate the precincts. The governing authority of each parish shall by ordinance adopt the establishment and boundaries of each precinct in accordance with the timetable as set forth herein and in accordance with R.S. 18:532.1.B.(1)(a) Each precinct shall be a contiguous, compact area having clearly defined and clearly observable boundaries coinciding with visible features readily distinguishable on the ground and approved extensions of such features, such as designated highways, roads, streets, rivers, or canals, and depicted on United States Bureau of the Census base maps for the next federal decennial census, except where the precinct boundary is coterminous with the boundary of a parish or an incorporated place when the boundaries of a single precinct contain the entire geographic area of the incorporated place. Except as otherwise provided in this Paragraph, on and after July 1, 1997, any precinct boundary which does not coincide with a visible feature shall be changed by the parish governing authority to coincide with a visible feature in accordance with R.S. 18:532.1.(b) For the purposes of this Paragraph, the term "approved extension" shall mean an extension of one visible feature to another visible feature which has been approved by the secretary of the Senate and the clerk of the House of Representatives or their designees and which is or which will be a census tabulation boundary.(2) No precinct shall be wholly contained within the territorial boundaries of another precinct, except that a precinct which contains the entire geographical area of an incorporated place and in which the total number of registered voters at the last general election was less than three hundred may be so contained.(3) No precinct shall contain more than two thousand two hundred registered voters within its geographic boundaries. Within thirty days after the completion of each canvass, the registrar of voters of each parish shall notify the parish governing authority of every precinct in the parish which contains more than two thousand two hundred registered voters within its geographic boundaries. Within sixty days of such notification, the parish governing authority shall divide such precincts by a visible feature in accordance with R.S. 18:532.1.(4)(a) No precinct shall contain less than three hundred registered voters within its geographical boundaries, except:(i) When necessary to make it more convenient for voters in a geographically isolated and unincorporated area to vote. A voter in a geographically isolated and unincorporated area shall mean a voter whose residen

  17. H

    Replication Data for: The Geography of Racially Polarized Voting:...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jun 27, 2023
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    Shiro Kuriwaki; Stephen Ansolabehere; Angelo Dagonel; Soichiro Yamauchi (2023). Replication Data for: The Geography of Racially Polarized Voting: Calibrating Surveys at the District Level [Dataset]. http://doi.org/10.7910/DVN/VX5N1V
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 27, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Shiro Kuriwaki; Stephen Ansolabehere; Angelo Dagonel; Soichiro Yamauchi
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/VX5N1Vhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/VX5N1V

    Dataset funded by
    NSF
    Description

    Abstract: Debates over racial voting, and over policies to combat vote dilution, turn on the extent to which groups' voting preferences differ and vary across geography. We present the first study of racial voting patterns in every congressional district in the US. Using large-sample surveys combined with aggregate demographic and election data, we find that national-level differences across racial groups explain 60 percent of the variation in district-level voting patterns, while geography explains 30 percent. Black voters consistently choose Democratic candidates across districts, while Hispanic and White voters’ preferences vary considerably across geography. Districts with the highest racial polarization are concentrated in the parts of the South and Midwest. Importantly, multi-racial coalitions have become the norm: in most congressional districts, the winning majority requires support from minority voters. In arriving at these conclusions, we make methodological innovations that improve the precision and accuracy when modeling sparse survey data.

  18. Data from: Swiss Voting Study, 1972

    • icpsr.umich.edu
    • abacus.library.ubc.ca
    ascii
    Updated Feb 16, 1992
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    Kerr, Henry; Sidjanski, Dusan; Schmidtchen, Gerhard (1992). Swiss Voting Study, 1972 [Dataset]. http://doi.org/10.3886/ICPSR07342.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Kerr, Henry; Sidjanski, Dusan; Schmidtchen, Gerhard
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7342/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7342/terms

    Time period covered
    1972
    Area covered
    Switzerland, Global
    Description

    This study was conducted from February through June 1972, following the 1971 federal election in Switzerland. Questions probed respondents' attitudes toward elections and political parties as well as their political preferences. Other items assessed opinions on contemporary issues such as the organization of referenda, women's right to vote, and the Schwarzenbach initiative (a parliamentary action of conservative extremists, demanding that one-third of Switzerland's foreign workers be forced to leave the country and that aliens compose no more than 10 percent of the population in any canton). Demographic data include age, sex, education, ethnic background, and family background.

  19. A

    Gallup Polls, 1957

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1957 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/NGJ7QG
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    txt(66644)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada (CA), Canada
    Description

    This dataset covers ballots 255-60, and 262-63, spanning January, March, May, July, September-October, and December 1957. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 255 - January This Gallup poll seeks the opinions of Canadians mainly on current events and news issues. Some of this poll's question were also intended to ascertain respondents' political opinions. Respondents were asked questions so that they could be grouped according to geographic, demographic and social variables as well. Topics of interest include: alcohol consumption; beer sales in grocery stores; beverage consumption; Canadian Arts Council; car ownership; federal election; government funding for art; immigration policy; interesting things done by people; New Years resolutions; the most important world event; preferred political parties; predictions for 1957; prohibition of alcohol; railway workers strike; public utilities strike; television ownership; temperament; union membership; voting behaviour; and winter vacations. Basic demographics variables are also included. 256 - March This Gallup poll seeks to obtain the views of Canadians on current issues of national importance. Included are questions on labour unions, religion, and activities people do and feel should be allowed on Sundays. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: belief in the New Testament; car ownership; the federal election; the ideal number of children; labour union criticisms; whether newspapers should be allowed on Sunday; old age pension amounts; whether organized sports should be allowed on Sunday; preferred political parties; physical exam requirements to be able to drive a vehicle; religious influence; Sunday activities; whether theatres should be allowed to be open on Sunday; union membership; the influence of the United Nations, and voting behaviour. Basic demographics variables are also included. 257 - May This Gallup poll seeks the opinions of Canadians on issues of importance to the government and to the country. Included are questions regarding voting patterns and elections, America's influence over Canada, and travelling habits of Canadians. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the 35 hour work week; America's influence over Canada; the church's refusal to wed divorcees; the cost of taking a trip; the federal election; foreign policy; preferred political parties; the purpose of taking a trip; tax cuts; union membership; transportation used to take a trip; and voting behaviour. Basic demographics variables are also included. 258 - May This Gallup poll aims to collect the opinions of Canadians on issues of importance to the country and to the government. This survey focuses on mostly political topics, such as elections and voting, and the influence of the United States over Canada. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: American investment in Canada, the American lifestyle; Canada's dependence on the United States, the federal election; financial dependence on the United States; government policy; how hard people work; religious services; Sunday school; union membership; and voting behaviour. Basic demographics variables are also included. 259 - July This Gallup poll seeks to collect the opinions of Canadians. The majority of questions either deal directly with politics or the Federal election that was held in the month before this poll. Questions also inquire about voting patterns and issues that affect how respondents vote. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: whether respondents have been in a small boat recently; car ownership; Dr. Salk's polio vaccination; government priorities; John Diefenbaker; Louis St. Laurent; preferred political party; predictions and opinions for the next federal election; Progressive Conservative party; the Queen's visit to Ottawa; reactions to the federal election results; smoking habits and quitting; swimming ability; union membership; voting behaviour; and why the Conservatives won the federal election. Basic demographics variables are also included. 260 - September: first sample with 1223 respondents This Gallup poll is interested in collecting Canadians' opinions. The predominant subject of the survey questions is politics, including everything from the Queen to nuclear weapons testing and fallout. There were also questions asked to help group the respondents according to geographic, demographic, and social variables. Topics of interest include: A-bomb testing; American television programs; awareness of cabinet ministers; the British Commonwealth as a trading partner; Canadian television programmes; car ownership; federal elections; Governor General preference; H-bomb testing; inflation and high prices; job-type preference; John Diefenbaker's performance as Prime Minister; Louis St. Laurent's successor; nuclear weapons and fallout; performance of the advisors to the Queen; Russia's foreign policy objectives; speeches given by the Queen; television ownership; union membership; the United States as a trading partner; and voting behaviours. Basic demographics variables are also included. 260-c2 - September: same as above; second sample with 952 respondents 262 - October This Gallup poll seeks to collect the opinions of Canadians on important political issues, both in Canada and abroad. The major political issues discussed within Canada include prices, defence and unemployment, although lighter issues such as advertising and how spare time is spent are also discussed. Respondents were also asked questions so that they could be classified according to geographic, demographic and social variables. Basic demographics variables are also included. 263 - December This Gallup poll seeks to collect the opinions of Canadians on important political issues, both in Canada and abroad. The major political issues discussed within Canada include prices, defence and unemployment, although lighter issues such as advertising and how spare time is spent are also discussed. Respondents were also asked questions so that they could be classified according to geographic, demographic and social variables. The topics of interest include: whether advertisements are believable or not; the Arab Israeli conflict in Palestine; car ownership; the Conservative party; defense policy; the federal election; government control of schools; how spare time is spent; John Diefenbaker's performance as Prime Minister; the number of jobs held by respondents; preferred political parties; price trends; Unemployment rates; union membership; and voting behaviour. Basic demographics variables are also included. The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

  20. A

    Gallup Polls, 1965

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1965 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/9LFKMX
    Explore at:
    txt(57024)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada (CA), Canada
    Description

    This dataset covers ballots 310, 312-15, spanning January, June, September-November 1965. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 310 - January This Gallup poll aims to collect the opinions of Canadians on a variety of issues important to the country and government. Some of the questions are about politics, government, and current topics of interest to Canadians, including capital punishment, marriage and juvenile delinquency. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: advertising on television and radio; the Canadian Broadcasting Corporation (C.B.C.); capital punishment; Diefenbaker's performance as opposition leader; education funding; fairness in collecting taxes; federal elections; juvenile delinquency; predictions for the next world war; Pearson's performance as Prime Minister; product quality; proposing for marriage; opinions towards provincial governments; opinions towards the size of Canada's population; how the new leadership of the Soviet Union is going to affect international relations; tax levels; union membership; the United Nations' peacekeeping chances; and voting behaviour. Basic demographics variables are also included. 312 - June This Gallup poll aims to collect the opinions of Canadians on important political issues, both within Canada and abroad. Included are questions about political parties and leaders, and current events topics, such as abortion, birth control, and American involvement in Viet Nam. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: American intervention in Viet Nam; birth control approval; Canada Pension Plan age eligibility; church attendance; the Conservative party; country Canada is most closely tied with; curfew for kids under 16; doctors reporting unfit drivers; Expo '67 interest; federal elections; whether the respondents have heard of gallup polls; languages taught in schools; legalizing abortion; the Liberal party; most important freedoms; the New Democratic Party; predictions for political parties; Royal Commission on Bilingualism and Biculturalism's performance; Social Credit party; union membership; union of the Anglican and the United church; and voting behaviour. Basic demographics variables are also included. 313 - September This Gallup poll intends to collect the opinions of Canadians. The main theme of the survey questions is politics, with most questions relating either to political parties or leaders, or issues that are of importance to the government and Canadians in general. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: civil service strikes; compulsory Medicare; Diefenbaker's performance as leader of the opposition; federal elections; immigration of skilled workers to Canada; whether inflation is dangerous or not; if the Liberal party is favouring a certain group; whether a minority government is good for the nation; attitudes towards mothers in law; Pearson's performance as Prime Minister; preferred political parties; price and wage freezes; opinions of school officials hitting pupils; union membership; the United Nations' problems with Peacekeeping; and voting behaviour. Basic demographics variables are also included. 314 - October This Gallup poll seeks the opinions of Canadians on issues of importance to the country and government. This survey has a strong interest in politics, elections and votings, due to the fact that it was conducted prior to an election. Most of the questions are about voting habits, preferred parties, and political leaders. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: car ownership; causes of high prices; whether Diefenbaker or Pearson would be better for national unity; whether farmers are getting a fair deal from the government; federal elections; the importance of a majority government; preferred political parties; union membership; and voting behaviour. Basic demographics variables are also included. 315 - November This Gallup poll aims to collect the opinions and views of Canadians on issues of importance to the country. The survey questions are predominantly politically based, asking about preferred leaders and parties, as well as about other issues important to the country and government. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: Canada's relations with the United States; car ownership; causes of high prices; economic conditions; federal elections; French/English relations; which leader would be best for national unity; which political parties are best fo certain groups; whether Russia would side with China or the United States in a war; the success of political campaigns; union membership; voting behaviour; and whether women should be given equal opportunity for jobs. Basic demographics variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

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data.kingcounty.gov (2025). Voter Registration by Census Tract [Dataset]. https://catalog.data.gov/dataset/voter-registration-by-census-tract

Voter Registration by Census Tract

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Dataset updated
Jun 29, 2025
Dataset provided by
data.kingcounty.gov
Description

This 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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