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) 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, 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).

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.

Analysis of ‘2020 US General Election Turnout Rates’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/imoore/2020-us-general-election-turnout-rates on 28 January 2022.

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

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

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

Provides demographic information on persons who did and did not register to vote. Also measures number of persons who voted and reasons for not registering.

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

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

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

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

Using this Data - IMPORTANT

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

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

National Survey

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

State Surveys

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

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

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

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

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

Sampling Details

Probability-based Registered Voter Sample

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

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

Nonprobability Sample

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

AmeriSpeak Sample

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

Weighting Details

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

State Surveys

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

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

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

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

National Survey

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

In this paper, we revisit the effect of ballot access laws on voter confidence in the outcome of elections. We argue that voter confidence is conditioned by partisanship. Democrats and Republicans view election laws through a partisan lens, which is especially triggered when coalitions lose. We used The Integrity of Voting data set, along with other data sets, to test our hypotheses. The sample frame for the Integrity of Voting Survey was eligible persons who voted in the 2020 Presidential elections with accessible internet email addresses. Our sample consisted of two samples from two different vendors. Surveys were conducted with 17,526 voters drawing on two independent samples of registered voters who reported voting in the 2020 Presidential election. Email addresses for registered voters in each state were purchased from L2, a commercial vendor specializing in obtaining email addresses for registered voters. Interviews were solicited from one million voters in all 50 states, with 10,770 completed interviews for a response rate of .011%. A second sample of internet interviews were solicited and completed with 6,756 2020 voters using Dynata’s proprietary select-in survey of voters in selected states with smaller populations of registered voters. A minimum of roughly 100 2020 election voters were interviewed in each state. Our state samples were weighted using a raking technique on age, race, gender, education, and vote mode demographics from the U.S. Census Bureau’s 2020 Voting and Registration in the Election of November 2020 supplement to the Current Population survey (2021), as well as party identification totals from post-election exit polls conducted by the Associated Press (2020). Surveys were conducted between the first week in December, 2020 and the first week in February 2021.

U.S. President general county level voter registration and turnout data for 1992-2022. Each level of data include the following: Total Population (state and county) Total Voting-Age Population (state only) Total Voter Registration (except ND, WI - these two states do not have voter registration.) Total Ballots Cast (for 2004, not yet available for NC, PA. WI doesn't publish this data) Total Vote Cast for President Voter Registration by Party (AK, AZ, CA, CO, CT, DE, DC, FL, IA, KS, KY, LA, MA, ME, MD, NE, NV, NH, NJ, NM, NY, NC, OK, OR, PA, SD, WV, WY). Remaining states do not have voter registration by party). The following worksheets are included in each file: National Summary - summarizes registration and turnout totals by state - with boundary file information (fips) Data by County - data for all counties of all states plus DC - with boundary file information (fips) Data by Town - data for New England towns (ME, MA, CT, RI, VT, NH) - with boundary file information (fips) Data Sources - a list of data sources used to compile the spreadsheet.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

The 119th Congressional Districts dataset reflects boundaries from January 03, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). 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. Information for each member of Congress is appended to the Census Congressional District shapefile using information from the Office of the Clerk, U.S. House of Representatives' website https://clerk.house.gov/xml/lists/MemberData.xml and its corresponding XML file. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. This dataset also includes 9 geographies for non-voting at large delegate districts, resident commissioner districts, and congressional districts that are not defined. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 3, 2025 through January 3, 2027. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by May 31, 2024. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529006

Content

Election results for the November 6th, 2018 State elections. Elections were held for the governorships of 36 U.S. states and three U.S. territories. Eighty-seven of the 99 state legislative chambers, in 46 states—6,069 seats out of the nation's 7,383 legislative seats (82%)—held regularly-scheduled elections.

Relevant Description From Provided Codebook

The data files state_overall_2018 and county_2018 contain official returns for state office elections in 2018. Files for overall results show constituency-level returns, and where available, these are broken down into county level returns in the county files.

The source of the data is typically each state's Secretary of State website or comparable elections division page on an official state website.

Returns for some states are separated by mode of voting (e.g. election day, absentee, etc.), as indicated by the mode variable in the dataset. For Maine in the county_2018 file, data was drawn from precinct results, some of which could not be linked to corresponding counties. These are listed as missing values in the county variable. The county-level data in the county_2018 file for Maine is thus incomplete.

Research suggests that partisans are increasingly avoiding members of the other party—in their choice of neighborhood, social network, even their spouse. Leveraging a national database of voter registration records, we analyze 18 million households in the U.S. We find that three in ten married couples have mismatched party affiliations. We observe the relationship between inter-party marriage and gender, age, and geography. We discuss how the findings bear on key questions of political behavior in the US. Then, we test whether mixed-partisan couples participate less actively in politics. We find that voter turnout is correlated with the party of one’s spouse. A partisan who is married to a co-partisan is more likely to vote. This phenomenon is especially pronounced for partisans in closed primaries, elections in which non-partisan registered spouses are ineligible to participate.

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for 2024.

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

This dataset lists the total population 18 years and older by census block in Connecticut before and after population adjustments were made pursuant to Public Act 21-13. PA 21-13 creates a process to adjust the U.S. Census Bureau population data to allow for most individuals who are incarcerated to be counted at their address before incarceration. Prior to enactment of the act, these inmates were counted at their correctional facility address.

The act requires the CT Office of Policy and Management (OPM) to prepare and publish the adjusted and unadjusted data by July 1 in the year after the U.S. census is taken or 30 days after the U.S. Census Bureau’s publication of the state’s data.

A report documenting the population adjustment process was prepared by a team at OPM composed of the Criminal Justice Policy and Planning Division (OPM CJPPD) and the Data and Policy Analytics (DAPA) unit. The report is available here: https://portal.ct.gov/-/media/OPM/CJPPD/CjAbout/SAC-Documents-from-2021-2022/PA21-13_OPM_Summary_Report_20210921.pdf

Note: On September 21, 2021, following the initial publication of the report, OPM and DOC revised the count of juveniles, reallocating 65 eighteen-year-old individuals who were incorrectly designated as being under age 18. After the DOC released the updated data to OPM, the report and this dataset were updated to reflect the revision.

This data collection contains voter registration and turnout surveys. The files contain summaries at state, town, and county levels. Each level of data include: total population, total voting-age population, total voter registration (excluding ND, WI), total ballots cast, total votes cast for president, and voter registration by party. Note: see the documentation for information on missing data.

Dave Leip's website

The Dave Leip website here: https://uselectionatlas.org/BOTTOM/store_data.php lists the available data. Files are occasionally updated by Dave Leip, and new versions are made available, but CCSS is not notified. If you suspect the file you want may be updated, please get in touch with CCSS. These files were last updated on 9 JUL 2024.

Note that file version numbers are those assigned to them by Dave Leip's Election Atlas. Please refer to the Data and Reproduction Archive Version number in your citations for the full dataset.

For additional information on file layout, etc. see https://uselectionatlas.org/BOTTOM/DOWNLOAD/spread_turnout.html.

Similar data may be available at https://www.electproject.org/election-data/voter-turnout-data dating back to 1787.

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.

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.

Project Summary: This research, which was eventually published in a 2012 book by Cambridge University Press entitled The Rise of Ethnic Politics in Latin America, focused on the emergence of indigenous parties in Latin America. Specifically, it sought to explain why some parties based in the indigenous population succeeded while others failed. The study focused on the three South American countries with the largest indigenous populations--Bolivia, Ecuador, and Peru--but a comparative chapter examined the fate of indigenous parties in the rest of Latin America as well. The central argument of this study is that indigenous-based parties have succeeded in recent years by using inclusive ethnic and populist appeals to reach out to whites and mestizo as well as indigenous people. Indigenous parties, unlike many other ethnic parties, have managed to win support across ethnic lines because the long history of racial mixing in Latin America blurred ethnic boundaries and reduced ethnic polarization. Data Abstract: This study used a combination of qualitative and quantitative data, including interviews, party documents, journalistic accounts, surveys of public opinion and municipal-level census and electoral data. The data consist of notes in Spanish from interviews with prominent party leaders, legislators, interest group representatives, government officials, and pollsters. I selected interviewees who were deemed to have extensive knowledge of the elections and the parties involved in them and the interest groups that supported them. I was particularly interested in interviewees who were knowledgeable about or involved with the Movimiento al Socialismo (MAS) in Bolivia, Pachakutik in Ecuador, the Partido Nacionalista Peruano (PNP) in Peru, and Winaq in Guatemala. The interviews were conducted in 10 summer research trips to Latin America between 2002 and 2008. The interviews were unstructured in nature and were conducted by the author.

This data is a recent survey data we collected by using Survey Monkey.

We asked how much people will vote Pete Buttigieg as President of the US, if he is nominee, and asked many reasons by scalar-bar questions which is created by us based on the initial open question survey.

This survey is completely original, not related with his campaign.

Insight Survey of Pete Buttigieg https://www.surveymonkey.com/r/L3H3CKD

We are looking for a data scientist or a causal analyst who has great ability to extract the insights from this type of data format. The winner of the best result will be honored by a spinning out company who will focus on commercial delivery of this analysis. Marketing Research has been struggling this type of open and close questions why people like a brand and products.

Find WHYs.

This dataset covers ballots 363-71 spanning January, March, May-July, September-December 1974. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 363 - January This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest such as the James Bay Indian conflict; the Canadian fuel policy and the accessibility of abortions. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the accessibility of abortions; allowing police to use wiretaps; allowing private contributions to political campaigns; approval of the Canadian fuel policy; broadcasting ads aimed at children; whether or not Canada is heading towards a depression; the amount of confidence there is in multinational oil companies; the distribution of seats in the Federal House of Commons; expropriating Indian lands; governmental set up of land banks; the James Bay Indian conflict; Liberals complying with NDP; limiting foreign investments; police protection of scabs and the problems facing the various provinces. Basic demographic variables are also included. 364 - March This Gallup poll seeks the opinions of Canadians, on both political and social issues. The poll asks opinions about political issues such as the upcoming election, the effect of government and which political leader will make the best Prime Minister. There are also questions on other topics of interest and importance to the country and government, such as questions about smoking, seatbelts and how strict schools are. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: allowing euthanasia for the terminally ill; approval of Lewis as leader of the NDP; approval of Stanfield as leader of the opposition; approval of Trudeau as Prime Minister; biggest concern due to the rising prices; country most interested in visiting; whether or not the courts are treating criminals too harshly; the effects of American influence; possible fine for not wearing a seatbelt; giving workers the right to strike; the government's effect on life; the ideal number of children to have; the increasing amounts of political corruptness; which political leader will make the best Prime Minister; the main cause of energy problems in Canada; the most important problem facing Canada; opinions of the teaching profession; quality of US-Canada relations; rising prices; smoking in the past week; strictness of schools; the use of seatbelts; the use of alcohol; and what makes a good Prime Minister. Basic demographic variables are also included. 365 - May This Gallup poll seeks the opinions of Canadians, on political and social issues. Opinions on topics such as inflation, oil and gas prices and whether or not UFOs exist are touched on in this poll. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: the amount of money spent on food; beliefs about UFOs; the causes of inflation; comparing the Roman Empire to Western Civilization; the decline in the Roman Empire; dieting; expanding the World Football League; growing vegetables in the summer; illegal strikes; impeaching President Nixon; learning second languages in school; opinions about weight; owing a car; the reasons for higher oil and gas prices; whether or not President Nixon should resign; who profits from higher oil and gas prices; types of cars and ways to control inflation. Basic demographic variables are also included. 366 - June This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political leaders and the upcoming Federal election. There are also questions regarding compulsory military service, nuclear testing and what people fear. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the type of activities recently participated in; confidence levels of Canadian institutions; compulsory military service; conditions that warrant an election; being eligible to vote; what people fear; gaining a majority government; India's nuclear testing; interest in the Federal election; likelihood of voting; how long the respondent could live comfortably without an income; who the most sincere political leader is; whether or not a respondents name is on the voter's list; participation in sports; the political leader with the best campaign; preferred area of living; satisfaction levels; and summer holiday plans. Basic demographic variables are also included. 367 - July This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political parties, the election and other political issues within the country. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: the activities done during the 1874 election campaign; the difference between the political parties; the important jobs for the government after the election; overall interest in the election; voting eligibility; and voting intentions. Basic demographic variables are also included. 368 - September This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about the past election and political leaders in Canada; as well as American politics. Questions also touched on subjects such as the benefits of marriage; the Old Age Pension and the metric system. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: allowing abortions; the amount of money given by the Old Age Pension; the approval for lotteries; converting to the metric system; disapproval for lotteries; the effectiveness of police; the expectations of Gerald Ford as President; gaining from marriage; the government running lotteries; the involvement of churches in daily life; the loss of prestige in the United States due to Watergate; making French the sole official language in Quebec; passing Bill 22 in Quebec; the reasons for voting for a political leader; rising prices; setting maximum speed limits; wage and price controls; and who is to blame for violence in minor hockey. Basic demographic variables are also included. 369 - October This Gallup poll seeks the opinions of Canadians, on both political and social issues. Topics of interest include: the most important problems facing the country; government intervention in wage; the influence of foreign (U.S.) capital; opinions on PM Trudeau, Minister of Finance Turner, Minister of Agriculture Whelan, current issues in the agricultural sector; over-coverage of U.S. news; safety regulations; sense of increasing violence; Gerald Ford; the possibility of an imminent economic depression; political leanings and voting behavior. Basic demographic variables are also included. 370 - November This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about government salaries and the past election. There are also questions on other topics of interest such as the effect of women in the RCMP and predictions for 1975. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: only admitting immigrants with prearranged jobs; allowing organ donations; attending the 1976 Olympics in Montreal; the effects of where you live on wealth; the effects of women in the RCMP; evaluation of government salaries; fear of walking at night; political preferences; rating post office performance; predictions for 1975; regularly saving part of income; and types of foods recently ate. Basic demographic variables are also included. 371 - December This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about who will be the new political leaders as well as other political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as type of employment, inflation and attitudes towards marijuana. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: the amount of foreign aid given; the cause of rising food prices; confidence in the government's handling of inflation; gender preference of boss; the groups that will suffer the most from high food prices; helping underdeveloped countries; legalizing marijuana; opinions of a two-price system; political preferences; giving prison sentences for selling marijuana; the protection of Canadian magazine publishers; who the replacement leader for the Conservative party will be; who the replacement leader for the NDP will be; whether or not the respondent would stop working if they had the means to do so; trying marijuana; the type of employment; and weekend prison leaves for serious convictions. Basic demographic variables are also included.