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.

This dataset contains counts of voter registration and voter turnout for all counties in the United States for the years 2004-2022. It also contains measures of each county's Democratic and Republican partisanship, including six-year longitudinal partisan indices for 2006-2022.

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

This table contains data on the percent of adults (18 years or older) who are registered voters and the percent of adults who voted in general elections, for California, its regions, counties, cities/towns, and census tracts. Data is from the Statewide Database, University of California Berkeley Law, and the California Secretary of State, Elections Division. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Political participation can be associated with the health of a community through two possible mechanisms: through the implementation of social policies or as an indirect measure of social capital. Disparities in political participation across socioeconomic groups can influence political outcomes and the resulting policies could have an impact on the opportunities available to the poor to live a healthy life. Lower representation of poorer voters could result in reductions of social programs aimed toward supporting disadvantaged groups. Although there is no direct evidentiary connection between voter registration or participation and health, there is evidence that populations with higher levels of political participation also have greater social capital. Social capital is defined as resources accessed by individuals or groups through social networks that provide a mutual benefit. Several studies have shown a positive association between social capital and lower mortality rates, and higher self- assessed health ratings. There is also evidence of a cycle where lower levels of political participation are associated with poor self-reported health, and poor self-reported health hinders political participation. More information about the data table and a data dictionary can be found in the About/Attachments section.

The Voter Participation indicator presents voter turnout in Champaign County as a percentage, calculated using two different methods.

In the first method, the voter turnout percentage is calculated using the number of ballots cast compared to the total population in the county that is eligible to vote. In the second method, the voter turnout percentage is calculated using the number of ballots cast compared to the number of registered voters in the county.

Since both methods are in use by other agencies, and since there are real differences in the figures that both methods return, we have provided the voter participation rate for Champaign County using each method.

Voter participation is a solid illustration of a community’s engagement in the political process at the federal and state levels. One can infer a high level of political engagement from high voter participation rates.

The voter participation rate calculated using the total eligible population is consistently lower than the voter participation rate calculated using the number of registered voters, since the number of registered voters is smaller than the total eligible population.

There are consistent trends in both sets of data: the voter participation rate, no matter how it is calculated, shows large spikes in presidential election years (e.g., 2008, 2012, 2016, 2020, 2024) and smaller spikes in intermediary even years (e.g., 2010, 2014, 2018, 2022). The lowest levels of voter participation can be seen in odd years (e.g., 2015, 2017, 2019, 2021, 2023).

This data primarily comes from the election results resources on the Champaign County Clerk website. Election results resources from Champaign County include the number of ballots cast and the number of registered voters. The results are published frequently, following each election.

Data on the total eligible population for Champaign County was sourced from the U.S. Census Bureau, using American Community Survey (ACS) 1-Year Estimates for each year starting in 2005, when the American Community Survey was created. The estimates are released annually by the Census Bureau.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because this data is not available for Champaign County, the eligible voting population for 2020 is not included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes datasets on Population by Sex and Population Under 18 Years by Age.

Sources: Champaign County Clerk Historical Election Data; U.S. Census Bureau; American Community Survey, 2024 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (24 November 2025).; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (10 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (5 October 2023).; Champaign County Clerk Historical Election Data; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (7 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using data.census.gov; (8 June 2021).; Champaign County Clerk Election History; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (13 May 2019).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (13 May 2019).; U.S. Census Bureau; American Community Survey, American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (6 March 2017).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey 2012 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B05003; generated by CCRPC staff; using American FactFinder; (15 March 2016).

Overview

Kensho's Team Impact is excited to partner with the American Voter Project (the non-profit that runs the Ohio Voter Project) to make this dataset on Georgia voters available via Kaggle.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F73968%2Fe929cb6eb3d7a11dbef5feee4b336f91%2FOVP-Kensho_1000.jpg?generation=1608150215724319&alt=media" alt="">

This dataset has two main components. The first is statewide Georgia voter lists for October, November, and December provided by the American Voter Project and originally sourced from the Georgia Secretary of State. The second is cartographic boundary files from the US Census.

Starter Notebook

Jump right in with a starter notebook that demonstrates reading the data, creating maps, and aggregating voter data.

https://www.kaggle.com/gabrielaltay/georgia-voter-list-starter

Voter File Descriptions

Voter files contain one row per person, are provided for October, November, and December of 2000, and use the following naming convention,

tbl_prod_GABUYYYYMM_sample.csv

The samples are defined as,

• all: all voters in the file provided by the secretary of state of Georgia for a given month
• dropped_records: voters that were in the all sample last month but are not in the all sample this month
• new_records: voters that are in the all sample this month but were not in the all sample last month
• address_change: voters with address info that changed from last month
• name_change: voters with name info that changed from last month
• voter_in_inactive: voters with voter_status = I in the all sample for this month
• voter_status_change: voters with voter_status that changed from last month

Due to privacy concerns we have removed names and addresses (except city, zipcode, and county) from the voter files.

Geographic File Descriptions

The geographic data we collected consists of geojson files that describe cartographic boundaries in the US. We obtained shapefiles from this website and converted them to geojson using geopandas. We follow the naming convention used for the census shape files,

cb_2019_us_entity_rr.geojson where,

entity = the geographic entity rr = resolution level (we use the 20m = 1:20,000,000 and 500k = 1:500,000 scale files)

Specifically, we include the following geographic entities,

cbsa: metropolitan / micropolitan statistical area cd116: congressional district (116th congress) county: county csa: combined statistical area division: national division (subdivisions of regions) nation: national outline region: national region (northeast, southeast, midwest, west) state: state and equivalent zcta510: 5-digit ZIP code tabulation area (Census 2010)

Usage Restrictions

A quote from the Georgia Secretary of State dataset website,

The Statewide Voter List is an electronic file that includes the date last voted for each registered voter in the state of Georgia.

By law, voter registration lists are available to the public and contain the following information: voter name, residential address, mailing address if different, race, gender, registration date and last voting date. The Statewide Voter List does not include telephone numbers, date of birth, Social Security number or Drivers License number. The Statewide Voter List includes Active and Inactive Voters.

Normal production time is 1-2 weeks upon receipt of order. The Statewide Voter List file will be provided to you electronically.

The pricing is set by the Secretary of State office. This data may not be used by any person for commercial purposes. O.C.G.A. § 21-2-225 ( c )

In accordance with O.C.G.A. § 21-2-601, any person who uses the list of electors provided for in O.C.G.A. § 21-2-225 for commercial purposes shall be guilty of a misdemeanor.

Acknowledgements

We would like to thank Steve Tingley-Hock in general for his years of work on behalf of voters and specifically for sharing this data. You can learn more about his work at the following links,

• (VICE) This Man Exposed 40K Voters Purged by Mistake
• (Wired) One IT Guy's Spreadsheet-Fueled Race to Restore Voting Rights
• (New York Times) Ohio Was Set to Purge 235,000 Voters. It Was Wrong About 20%

Intro

Voter turnout is the percentage of eligible voters who cast a ballot in an election. Eligibility varies by country, and the voting-eligible population should not be confused with the total adult population. Age and citizenship status are often among the criteria used to determine eligibility, but some countries further restrict eligibility based on sex, race, or religion.

Context

The historical trends in voter turnout in the United States presidential elections have been determined by the gradual expansion of voting rights from the initial restriction to white male property owners aged 21 or older in the early years of the country's independence, to all citizens aged 18 or older in the mid-20th century. Voter turnout in United States presidential elections has historically been higher than the turnout for midterm elections. https://upload.wikimedia.org/wikipedia/commons/a/a7/U.S._Vote_for_President_as_Population_Share.png" alt="f">

Content

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

Original source: https://data.world/government/vep-turnout

Although the secret ballot has been secured as a legal matter in the United States, formal secrecy protections are not equivalent to convincing citizens that they may vote privately and without fear of reprisal. We present survey evidence that those who have not previously voted are particularly likely to voice doubts about the secrecy of the voting process. We then report results from a field experiment where we mailed information about protections of ballot secrecy to registered voters prior to the 2010 general election. Consistent with our survey data, we find that these letters increased turnout for registered citizens without records of previous turnout, but did not appear to influence the behavior of citizens who had previously voted. The increase in turnout of more than three percentage points (20%) for those without previous records of voting is notably larger than the effect of a standard get-out-the-vote mailing for this group. Overall, these results suggest that although the secret ballot is a long-standing institution in the United States, beliefs about this institution may not match the legal reality. Providing basic information about ballot secrecy can cause former non-voters to participate.

In U.S. presidential elections since 1964, voter turnout among male and female voters has changed gradually but significantly, with women consistently voting at a higher rate than men since the 1980 election. 67 percent of eligible female voters took part in the 1964 election, compared to 72 percent of male voters. This difference has been reversed in recent elections, where the share of women who voted has been larger than the share of men by around four percent since 2004.

Voting Precincts in Macon-Bibb County. Elections in the county are managed by the Macon-Bibb County Board of Elections.

Voters who cast their votes in person must show one of six forms of photo identification. If the voter votes BY MAIL, they DO NOT need a photo ID. Photo ID rules ONLY APPLY to IN-PERSON voting by absentee, advance voting or at the polling place on Election Day.

· A current or expired Georgia driver’s license (or Department of Driver Services identification card);

· A valid United States military photo identification card;

· A valid photo identification card issued by any branch, department agency, or entity of the United States, Georgia, or any other state authorized by law to issue personal identification, including a FREE Georgia Voter Identification Card;

· A valid employee photo identification card issued by any branch, department, agency, or entity of the United States, Georgia, or any county, municipality, board, authority of other entity of Georgia;

· A valid United States passport; or

· A valid tribal photo identification card.

Any elector who registered for the first time in Georgia by mail, and did not provide identification at the time of registering may provide one of the six (6) items of photo identification listed above, or for the electors first time voting, may provide one of the following forms of identification: copy of a current utility bill, bank statement, government check, paycheck, or other government document that shows the name and address of elector.IF ELECTOR CANNOT PROVIDE ANY OF THE ABOVE LISTED ID’S THEY MAY VOTE A PROVISIONAL BALLOT IN ACCORDANCE WITH O.C.G.A. 21-2-220 and 21-2-417.

If the voter does not have a Georgia driver’s license, or other qualified ID, they can obtain either a FREE Georgia Identification Card from the Department of Driver Services or a FREE Georgia Voter Identification Card at their county registrar’s office. Just contact the Macon-Bibb County Board of Elections located at 2525 Pio Nono Ave., Ste 1200, Macon, GA 31206. Office hours are from 8:30 a.m. to 5:30 p.m. Monday thru Friday. For more information call 478-621-6622 or go to www.gaphotoid.com.

In order to get a FREE Georgia Voter Identification Card, a voter will need to provide the following:

A photo identity document, or a non-photo identity document (must include voter’s full legal name and date of birth); and

· Documentation showing the voter’s date of birth; and

· Evidence that voter is registered to vote in Georgia; and

· Documentation showing the voter’s name and address of principal residence.

The voter may use the same document to satisfy more than one of the above requirements. For additional information, please visit the Secretary of State’s web page at www.sos.state.ga.us.

The PDC uses this data set for its online web applications to assist the public in finding information relative to a particular jurisdiction. It is provided here for the purpose of assisting application developers and may be of limited interest for the general public.

This dataset is a subset (copy) of voter registration records provided to the Public Disclosure Commission by the Washington Secretary of State (SOS) under the terms of SOS and applicable law. Use of this data is governed by any restrictions or limitations of the original release by SOS. By accessing this data you are agreeing to use the data in accordance with the RCW 29A.08.720, RCW 29A.08.740 and RCW 42.56.070(9) and any other applicable law.

This data set can be used to correlate a precinct to a PDC jurisdiction and office. These data are provided as-is and may contain errors or omissions. Please refer to the SOS for the most recent precinct data.

Description:

This dataset contains comprehensive voting data for the 2024 US elections, focusing on general ballot measures. This information includes voting results from various sources and tracking public opinion about political parties and candidates across states and demographic groups. Each item in the dataset represents a specific poll. Along with detailed information about the dates of the polls. Survey organization, sample size, margin of error, Percentage of respondents supporting each political party or candidates

Key Features:

Poll Date:The date when the poll was conducted.

Polling Organization: The name of the organization that conducted the poll.

Sample Size: The number of respondents in the poll.

Margin of Error: The statistical margin of error for the poll results.

Party/Candidate Support: Percentage of respondents who support each political party or candidate.

State/Demographics: Geographic and demographic breakdowns of the polling data.

Use Cases:

Analyzing trends in public opinion leading up to the 2024 U.S. elections. Comparing support for different political parties and candidates over time. Studying the impact of key events on voter preferences. Informing political strategies and campaign planning.

Context

This is part of the voter file verified by the North Carolina State Board of Elections. It includes the registered voters, but not the voting history.

The North Carolina State Board of Elections updates this data everyday. See https://dl.ncsbe.gov/ for the original files. Feel free to post questions here and I can try to answer them. I'm not certain as to what obligation the BOE has to provide technical support for this file

**Note on timeline of this data's collection: ** I specified the "Temporal coverage" as 1900-01-01 to 2020-02-29. The last date is correct, but I don't know the specific date for first value. I believe it would be the time of registration for the longest registered voter (without updates or re-registration) that the BOE cannot verify is dead. The specific designation has been highly politicized by voter suppression efforts of the last two decades. One would likely need to contact the BOE (or have a specialized law degree) to determine how that date is constructed, let alone to verify it.

Content

Below is documentation provided by the North Carolina State Board of Elections. I am not the author; I have copied it here for ease of use from the ncsbe.gov resource.

Updated 2/29/2020, 7:04:30 AM

layout ncvoter ncvhis.txt

/* *******************************************************************************
* name: layout_ncvoter_ncvhis.txt
* purpose: Instruction file with file layout for weekly Voter and Voter History text files
* updated: 10/24/2019
* files: 
  -- 1) ncvhis#.zip      This file contains voter history (does not contain 
  --              voter names).
  -- 2) ncvoter#.zip      This file contains all legally available voter information 
  --              and is linkable to the companion voter history 
  --              (ncvhis#) file. Birth date and ssn are confidential.
  -- 3) ncvhis_Statewide.zip  statewide voter history file
  -- 4) ncvoter_Statewide.zip statewide voter file
* note: # is the county id for the county in that file (id list is below)
* instructions: 
  -- Extract using a file archiving and compression program (eg. WinZip)
  -- Link data between files by ncid.
******************************************************************************* */


1) Voter History File (ncvhis#.txt):
  county_id        int    4
  county_desc       char   60
  voter_reg_num      char   12
  election_lbl      char   10 
  election_desc      char   230 
  voting_method      char   10

  voted_party_cd     char   3 
  voted_party_desc    char   60 
  pct_label        char   6 
  pct_description     char   60 
  ncid          char   12 
  voted_county_id     char   3 
  voted_county_desc    char   60 
  vtd_label        char   6 
  vtd_description     char   60 

2) Voter & Pre-registrations Files (ncvoter#.txt):
  county_id      smallint  2
  county_desc     varchar 15
  voter_reg_num        char  12
  status_cd      char  2
  voter_status_desc    varchar 25
  reason_cd      char  2
  voter_status_reason_desc  varchar 60
  absent_ind     char  1
  name_prefx_cd        char  4
  last_name      char  25
  first_name     char  20
  middle_name     char  20
  name_suffix_lbl       char  3
  res_street_address   varchar 63
  res_city_desc        varchar 60
  state_cd      char  2
  zip_code      char  9
  mail_addr1     varchar 40
  mail_addr2     varchar 40
  mail_addr3     varchar 40
  mail_addr4     varchar 40
  mail_city      varchar 30
  mail_state     char  2
  mail_zipcode        char  9
  full_phone_number    varchar 12
  race_code      char  3
  ethnic_code     char  3
  party_cd      char  3
  gender_code     varchar 1
  birth_age      int     4
  birth_state     char  2
  drivers_lic     char    1  (Y/N)
  registr_dt     char  10
  precinct_abbrv       char  6
  precinct_desc        varchar 60
  municipality_abbrv   char  6
  municipality_desc    varchar 60
  ward_abbrv     char  6
  ward_desc      varchar 60
  cong_dist_abbrv       char  6
  super_court_abbrv    char  6
  judic_dist_abbrv    char  6
  nc_senate_abbrv       char  6
  nc_house_abbrv       char  6
  county_commiss_abbrv    char  6
  county_commiss_desc   varchar 60
  township_abbrv       char  6
  township_desc        varchar 60
  school_dist_abbrv    char  6
  school_dist_desc    varchar 60
  fire_dist_abbrv       char  6
  fire_dist_desc       varchar 60
  water_dist_abbrv    char  6
  water_dist_desc       varchar 60
  sewer_dist_abbrv    char  6
  sewer_dist_desc       varchar 60
  sanit_dist_abbrv    char  6
  sanit_dist_desc       varchar 60
  rescue_dist_abbrv    char  6
  rescue_dist_desc    varchar 60
  munic_dist_abbrv    char  6
  munic_...

This dataset details the hours and locations for voter registration and voting in suburban Cook County between Oct. 8 and election day, Nov. 4, 2014. Voters may visit one of the 18 election day registration sites if they are not already registered and eligible to vote in their precinct. For more information on Early Voting see http://www.cookcountyclerk.com/elections/earlyvoting/Pages/default.aspx , For more information on Grace Period Registration and Voting see http://www.cookcountyclerk.com/elections/registertovote/Pages/GracePeriod.aspx . For more information on Election Day Registration and Voting see http://www.cookcountyclerk.com/elections/registertovote/Pages/ElectionDayRegistration.aspx .

These data are derived from CANDIDATE NAME AND CONSTITUENCY TOTALS, 1788-1990 (ICPSR 0002). They consist of returns for two-thirds of all elections from 1788 to 1823 to the offices of president, governor, and United States representative, and over 90 percent of all elections to those offices since 1824. They also include information on United States Senate elections since 1912. Returns for one additional statewide office are included beginning with the 1968 election. This file provides a set of derived measures describing the vote totals for candidates and the pattern of contest in each constituency. These measures include the total number of votes cast for all candidates in the election, each candidate's percentage of the vote received, and several measures of the relative performance of each candidate. They are appended to the individual candidate records and permit extensive analysis of electoral contests over time. This dataset contains returns for all parties and candidates (as well as scattering vote) for general elections and special elections, including information on elections for which returns were available only at the constituency level. Included in this edition are data from the District of Columbia election for United States senator and United States representative. The offices of two senators and one representative were created by the "District of Columbia Statehood Constitutional Convention Initiative," which was approved by District voters in 1980. Elections for these offices were postponed until the 1990 general election. The three offices are currently local District positions, which will turn into federal offices if the District becomes a state.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2010 Census Redistricting Data Program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county. For the 2010 Census, Kentucky and Rhode Island are the only States that did not provide voting district boundaries as part of Phase 2 (the Voting District Project) of the Redistricting Data Program and no VTDs exist for these States in the 2020 Census data products. Note that only Montana and Oregon do not have complete coverage of VTDs for the 2020 Census.

This is a dedicated data collection implemented on a voluntary basis, based on agreement between Eurostat and the national statistical institutes of the EU Member States. This data collection concerns persons eligible to vote in the 2024 European Parliament elections.

The 2024 European Parliament elections took place on 6-9 June 2024. This dataset shows national estimates of the number of eligible voters; it does not show the number of persons who used their rights to vote.

Given the high public interest, Eurostat launched a dedicated data collection to receive the available or estimated statistics from the competent National Authorities.

The organisation of the 2024 European Parliament elections is under national responsibility. This includes the preparation of electoral lists. Regarding the data on eligible voters, according to Council Decision (EU, Euratom) 2018/994 of 13 July 2018, each Member State shall designate a contact authority responsible for exchanging data on voters with its counterparts in the other Member States.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding adn Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2020 redistricting program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Voting districts do not exist for all states since some states did not participate in the program or chose not to submit boundaries for some of, or their entire, state. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies a portion of the county for which no VTDs were identified.

Content

Hate Crimes

This folder contains data behind the story Higher Rates Of Hate Crimes Are Tied To Income Inequality.

Sources: Kaiser Family Foundation Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation United States Elections Project Southern Poverty Law Center FBI

Correction

Please see the following commit: https://github.com/fivethirtyeight/data/commit/fbc884a5c8d45a0636e1d6b000021632a0861986

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

This dataset contains United States House of Representatives Districts found in Utah for the years 2026-2032. Statewide district boundaries are typically drawn by the Utah State Legislature after each decennial census and adopted into State law. However, due to a recent decision by the Utah Third Judicial District Court, the original congressional district boundaries were invalidated and the court adopted a new set of boundaries submitted by the plaintiff for the 2026 elections.The United States House of Representatives is comprised of 435 members, four of which represent Utah as elected members of Congress. This feature class represents the four Congressional Districts in Utah that will be used from 2026 to 2032. General voter precinct boundaries are not found in this dataset, but can be found in the Utah Ballot Areas dataset available on the SGID.The data will be used for election purposes beginning January 1, 2026. Elected officials begin representing these districts in January 2027. These boundaries supersede the US Congress districts that were used in 2022-2025 and is suitable for general analytic purposes.The congressional districts were provided by the Utah Third Judicial District Court after a decision that invalidated the previous congressional districts and adopted the Plaintiff's "Map 1." Minor adjustments were then made after the state requested clarification in a few areas, resulting in "Map 1A." UGRC then projected the court-provided "Map 1A" from WGS84 (WKID: 4326) into the standard statewide spatial reference of NAD83 UTM Zone 12N (WKID: 26912).The boundaries in this dataset will eventually be superseded by new data drawn from the 2030 Census.