22 datasets found
  1. c

    Voter Participation

    • data.ccrpc.org
    csv
    Updated Oct 10, 2024
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    Champaign County Regional Planning Commission (2024). Voter Participation [Dataset]. https://data.ccrpc.org/dataset/voter-participation
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    csv(1677)Available download formats
    Dataset updated
    Oct 10, 2024
    Dataset provided by
    Champaign County Regional Planning Commission
    Description

    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).

  2. Voter turnout in U.S. presidential elections by gender 1964-2020

    • statista.com
    Updated Jul 4, 2020
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    Statista (2020). Voter turnout in U.S. presidential elections by gender 1964-2020 [Dataset]. https://www.statista.com/statistics/1096291/voter-turnout-presidential-elections-by-gender-historical/
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    Dataset updated
    Jul 4, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  3. c

    Voter Registration by Census Tract

    • s.cnmilf.com
    • data.kingcounty.gov
    • +1more
    Updated Sep 23, 2021
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    data.kingcounty.gov (2021). Voter Registration by Census Tract [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/voter-registration-by-census-tract
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    Dataset updated
    Sep 23, 2021
    Dataset provided by
    data.kingcounty.gov
    Description

    This web map displays data from the voter registration database as the percent of registered voters by census tract in King County, Washington. The data for this web map is compiled from King County Elections voter registration data for the years 2013-2019. The total number of registered voters is based on the geo-_location of the voter's registered address at the time of the general election for each year. The eligible voting population, age 18 and over, is based on the estimated population increase from the US Census Bureau and the Washington Office of Financial Management and was calculated as a projected 6 percent population increase for the years 2010-2013, 7 percent population increase for the years 2010-2014, 9 percent population increase for the years 2010-2015, 11 percent population increase for the years 2010-2016 & 2017, 14 percent population increase for the years 2010-2018 and 17 percent population increase for the years 2010-2019. The total population 18 and over in 2010 was 1,517,747 in King County, Washington. The percentage of registered voters represents the number of people who are registered to vote as compared to the eligible voting population, age 18 and over. The voter registration data by census tract was grouped into six percentage range estimates: 50% or below, 51-60%, 61-70%, 71-80%, 81-90% and 91% or above with an overall 84 percent registration rate. In the map the lighter colors represent a relatively low percentage range of voter registration and the darker colors represent a relatively high percentage range of voter registration. PDF maps of these data can be viewed at King County Elections downloadable voter registration maps. The 2019 General Election Voter Turnout layer is voter turnout data by historical precinct boundaries for the corresponding year. The data is grouped into six percentage ranges: 0-30%, 31-40%, 41-50% 51-60%, 61-70%, and 71-100%. The lighter colors represent lower turnout and the darker colors represent higher turnout. The King County Demographics Layer is census data for language, income, poverty, race and ethnicity at the census tract level and is based on the 2010-2014 American Community Survey 5 year Average provided by the United States Census Bureau. Since the data is based on a survey, they are considered to be estimates and should be used with that understanding. The demographic data sets were developed and are maintained by King County Staff to support the King County Equity and Social Justice program. Other data for this map is located in the King County GIS Spatial Data Catalog, where data is managed by the King County GIS Center, a multi-department enterprise GIS in King County, Washington. King County has nearly 1.3 million registered voters and is the largest jurisdiction in the United States to conduct all elections by mail. In the map you can view the percent of registered voters by census tract, compare registration within political districts, compare registration and demographic data, verify your voter registration or register to vote through a link to the VoteWA, Washington State Online Voter Registration web page.

  4. d

    Voter Analysis 2008-2018

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Sep 2, 2023
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    data.cityofnewyork.us (2023). Voter Analysis 2008-2018 [Dataset]. https://catalog.data.gov/dataset/voter-analysis-2008-2018
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    This dataset was used to conduct the NYC Campaign Finance Board's voter participation research, published in the 2019-2020 Voter Analysis Report. Each row contains information about an active voter in 2018 and their voting history dating back to 2008, along with geographical information from their place of residence for each year they were registered voters. Because this dataset contains only active voters in the year 2018, this dataset cannot be used to calculate election turnout.

  5. d

    State of Iowa - Monthly Voter Registration Totals by State Senate District

    • catalog.data.gov
    • mydata.iowa.gov
    • +1more
    Updated Feb 14, 2025
    + more versions
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    data.iowa.gov (2025). State of Iowa - Monthly Voter Registration Totals by State Senate District [Dataset]. https://catalog.data.gov/dataset/state-of-iowa-monthly-voter-registration-totals-by-state-senate-district
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    Dataset updated
    Feb 14, 2025
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset contains voter registration data in Iowa by month and state senate district starting with June 2021. It identifies the number of voters registered as Democrats, Republicans, other party or no party. The dataset also identifies the number of active and inactive voter registrations. Inactive voters are those to whom official mailings have been sent from the county auditor’s office, the notice was returned as undeliverable by the United States Postal Service and the voter has not responded to a follow up confirmation notice. [§48A.37]

  6. d

    Replication Data for: Mixed partisan households and electoral participation...

    • dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Nov 22, 2023
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    Hersh, Eitan D (2023). Replication Data for: Mixed partisan households and electoral participation in the United States [Dataset]. https://dataone.org/datasets/sha256%3A0d3df8dc956f0facb17520f0e950f7786e42f5108383dea46a75b4f30f554eb2
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hersh, Eitan D
    Area covered
    United States
    Description

    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.

  7. d

    State of Iowa - Monthly Voter Registration Totals by County.

    • datadiscoverystudio.org
    • datasets.ai
    • +5more
    csv, json, rdf, xml
    Updated Apr 5, 2018
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    (2018). State of Iowa - Monthly Voter Registration Totals by County. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ee1f6197711f4fc3a89ac511aa0d3a27/html
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    csv, json, rdf, xmlAvailable download formats
    Dataset updated
    Apr 5, 2018
    Area covered
    Iowa
    Description

    description: This dataset contains voter registration data in Iowa by month and county starting with January 2000. It identifies the number of voters registered as Democrats, Republicans, other party or no party. Beginning March 2017, Libertarians were reported separately. The dataset also identifies the number of active and inactive voter registrations. Inactive voters are those to whom official mailings have been sent from the county auditor s office, the notice was returned as undeliverable by the United States Postal Service and the voter has not responded to a follow up confirmation notice. [ 48A.37]; abstract: This dataset contains voter registration data in Iowa by month and county starting with January 2000. It identifies the number of voters registered as Democrats, Republicans, other party or no party. Beginning March 2017, Libertarians were reported separately. The dataset also identifies the number of active and inactive voter registrations. Inactive voters are those to whom official mailings have been sent from the county auditor s office, the notice was returned as undeliverable by the United States Postal Service and the voter has not responded to a follow up confirmation notice. [ 48A.37]

  8. U.S. presidential election results: number of Electoral College votes earned...

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. presidential election results: number of Electoral College votes earned 2024 [Dataset]. https://www.statista.com/statistics/1535238/2024-presidential-election-results-us/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to results on November 6, 2024, former President Donald Trump had received 277 Electoral College votes in the race to become the next President of the United States, securing him the presidency. With all states counted, Trump received a total of 312 electoral votes.

    Candidates need 270 votes to become the next President of the United States.

  9. Data from: Supersharers of fake news on Twitter

    • data.niaid.nih.gov
    • search.dataone.org
    • +2more
    zip
    Updated May 24, 2024
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    Sahar Baribi-Bartov; Briony Swire-Thompson; Nir Grinberg (2024). Supersharers of fake news on Twitter [Dataset]. http://doi.org/10.5061/dryad.44j0zpcmq
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    zipAvailable download formats
    Dataset updated
    May 24, 2024
    Dataset provided by
    Ben-Gurion University of the Negev
    Northeastern University
    Authors
    Sahar Baribi-Bartov; Briony Swire-Thompson; Nir Grinberg
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Governments may have the capacity to flood social media with fake news, but little is known about the use of flooding by ordinary voters. In this work, we identify 2107 registered US voters that account for 80% of the fake news shared on Twitter during the 2020 US presidential election by an entire panel of 664,391 voters. We find that supersharers are important members of the network, reaching a sizable 5.2% of registered voters on the platform. Supersharers have a significant overrepresentation of women, older adults, and registered Republicans. Supersharers' massive volume does not seem automated but is rather generated through manual and persistent retweeting. These findings highlight a vulnerability of social media for democracy, where a small group of people distort the political reality for many. Methods This dataset contains aggregated information necessary to replicate the results reported in our work on Supersharers of Fake News on Twitter while respecting and preserving the privacy expectations of individuals included in the analysis. No individual-level data is provided as part of this dataset. The data collection process that enabled the creation of this dataset leveraged a large-scale panel of registered U.S. voters matched to Twitter accounts. We examined the activity of 664,391 panel members who were active on Twitter during the months of the 2020 U.S. presidential election (August to November 2020, inclusive), and identified a subset of 2,107 supersharers, which are the most prolific sharers of fake news in the panel that together account for 80% of fake news content shared on the platform. We rely on a source-level definition of fake news, that uses the manually-labeled list of fake news sites by Grinberg et al. 2019 and an updated list based on NewsGuard ratings (commercially available, but not provided as part of this dataset), although the results were robust to different operationalizations of fake news sources. We restrict the analysis to tweets with external links that were identified as political by a machine learning classifier that we trained and validated against human coders, similar to the approach used in prior work. We address our research questions by contrasting supersharers with three reference groups: people who are the most prolific sharers of non-fake political tweets (supersharers non-fake group; SS-NF), a group of average fake news sharers, and a random sample of panel members. In particular, we identify the distinct sociodemographic characteristics of supersharers using a series of multilevel regressions, examine their use of Twitter through existing tools and additional statistical analysis, and study supersharers' reach by examining the consumption patterns of voters that follow supersharers.

  10. Help America Vote Verification (HAVV) Transactions by State - 2024 Totals

    • catalog.data.gov
    Updated Feb 5, 2025
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    Social Security Administration (2025). Help America Vote Verification (HAVV) Transactions by State - 2024 Totals [Dataset]. https://catalog.data.gov/dataset/help-america-vote-verification-havv-transactions-by-state-2024-totals
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Area covered
    United States
    Description

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

  11. Z

    Sequential Vote Results of Swiss Referenda

    • data.niaid.nih.gov
    • zenodo.org
    Updated Aug 28, 2020
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    Kristof, Victor (2020). Sequential Vote Results of Swiss Referenda [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3984924
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    Dataset updated
    Aug 28, 2020
    Dataset provided by
    Kristof, Victor
    Thiran, Patrick
    Grossglauser, Matthias
    Immer, Alexander
    License

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

    Area covered
    Switzerland
    Description

    This repo contains the data introduced in

    Immer, A.*, Kristof, V.*, Grossglauser, M., Thiran, P., Sub-Matrix Factorization for Real-Time Vote Prediction, KDD 2020

    These data have been collected from OpenData.Swiss every two minutes on two different referendum vote days: May 19, 2019, and February 9, 2020. We use these data to make real-time predictions of the referenda outcome on www.predikon.ch. We publish here the raw data, as retrieved in JSON format from the API. We also provide a python script to help scraping the JSON files.

    After unzipping the datasets, you can scrape the data by referendum vote day by doing:

    from scraper import scrape_referenda

    Scrape the data from February 2, 2020.

    data_dir = 'path/to/2020-02-09' data = scrape_referenda(data_dir)

    The data variable will be a list of datum dictionaries of the following structure:

    { "vote": 6290, "municipality": 1, "timestamp": "2020-02-09T15:23:10", "num_yes": 222, "num_no": 482, "num_valid": 704, "num_total": 709, "num_eligible": 1407, "yes_percent": 0.3153409090909091, "turnout": 0.503909026297086 }

    The datum is as follows:

    vote: vote ID as defined by OpenData.Swiss

    municipality: municipality ID as defined by OpenData.Swiss

    timestamp: date and time at which the JSON files has been published on OpenData.Swiss

    num_yes: number of "yes" in the municipality

    num_no: number of "no" in the municipality

    num_valid: number of valid ballots (the ones counting for the results)

    numb_total: total number of ballots (including invalid ones)

    num_eligible: number of registered voters

    yes_percent: percentage of "yes" (computed as num_yes / num_valid)

    turnout: turnout to the vote (computed as num_total / num_eligible)

    Don't hesitate to reach out to us if you have any questions!

    To cite this dataset:

    @inproceedings{immer2020submatrix, author = {Immer, Alexander and Kristof, Victor and Grossglauser, Matthias and Thiran, Patrick}, title = {Sub-Matrix Factorization for Real-Time Vote Prediction}, year = {2020}, booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining}, }

  12. d

    Voting Precincts

    • catalog.data.gov
    • data.nola.gov
    • +1more
    Updated Sep 15, 2023
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    data.nola.gov (2023). Voting Precincts [Dataset]. https://catalog.data.gov/dataset/voting-precincts-89e6e
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.nola.gov
    Description

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

  13. N

    Census Demographics at the NYC City Council district (CNCLD) level

    • data.cityofnewyork.us
    • s.cnmilf.com
    • +4more
    application/rdfxml +5
    Updated Feb 17, 2015
    + more versions
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    Department of City Planning (DCP) (2015). Census Demographics at the NYC City Council district (CNCLD) level [Dataset]. https://data.cityofnewyork.us/City-Government/Census-Demographics-at-the-NYC-City-Council-distri/ye4r-qpmp
    Explore at:
    csv, tsv, xml, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Feb 17, 2015
    Dataset authored and provided by
    Department of City Planning (DCP)
    Area covered
    New York
    Description

    Table of Census Demographics represented at the NYC City Council district level

  14. a

    Administrative Voting Precincts

    • hub.arcgis.com
    • gis.data.alaska.gov
    • +2more
    Updated Jul 16, 2016
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    Matanuska-Susitna Borough (2016). Administrative Voting Precincts [Dataset]. https://hub.arcgis.com/maps/MSB::administrative-voting-precincts
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    Dataset updated
    Jul 16, 2016
    Dataset authored and provided by
    Matanuska-Susitna Borough
    Area covered
    Description

    The MSB received Precinct lines and boundary descriptions from the Alaska Division of Elections. GIS interpreted these lines to fit the higher-resolution GIS data layers. This step is important to show relative data layers (roads, rivers, schools, etc.). The Clerk used this information to determine which Assembly District individual registered voters fall within. The state sends a file of house ranges per precinct, and the Borough Clerk refines this list by Assembly District. The goal is for every voter to know which precinct, polling place, and Assembly District they live within and to receive the appropriate ballot at election time.

  15. A

    Gallup Polls, 1972

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1972 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/X86YZ0
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    txt(22996)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada (CA), Canada
    Description

    This dataset covers ballots 351-53, and 355-56 spanning January, March, May, September, and October 1972. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 351 - January This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions about political leaders and political issues within the country and throughout the world. There are also questions regarding class favouring laws, the welfare system and guaranteed annual income. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the amount of U.S. capital in Canada; the approval of guaranteed annual income; the best political party for the future; class favouring laws in Canada; conditions of today versus the past year; how respondents feel about the United States; opinion of NDP leader David Lewis; opinion of Stanfield; opinion of Trudeau; respect for the United Nations; the seriousness of governmental leaks to the press; the seriousness of Quebec separation; the strength of Quebec separation; welfare system ratings; and what influences voting choices. Basic demographic variables are also included. 352 - March This Gallup poll seeks the opinions of Canadians, on political and social issues. Topics of interest include: emigrating from Canada, political involvement, Trudeau vs Stanfield as potential prime minister, the right to strike, opinions on the Liberal term, government support for less populated provinces, how the U.S. conceives of its relationship with Canada, voting behavior, voting outcomes, whether political parties should be financially transparent, and pollution. Basic demographic variables are also included. 353 - May This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions about political issues, bilingualism and unemployment. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the agreement to clear the pollution in the Great Lakes; bilingualism in Canada; the degree of interest in the next Federal election; expanding the NHL; the greatest threat to the future; the importance of basic human rights; the most important problem in Canada; political position (left wing-right wing); the productivity of Canadian workers; the option of remaining on unemployment insurance instead of working; the problem of inflation; the problem of unemployment; whether or not Trudeau conduct is appropriate in parliament; and if the United States sincerely respects the Canadian identity. Basic demographic variables are also included. 355 - September This Gallup poll seeks the opinions of Canadians, on political and social issues. The questions ask opinions about political leaders and the upcoming Federal election. There are also questions on other topics of interest and importance to the country and government, such as the problems facing Canada and the availability of birth control for teens. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: accepting Ugandan refugees; the availability of birth control to teens; the best political party to handle the problems facing Canada; confidence in United States' problem solving; being eligible to vote; giving provinces more power; what influences voting decisions; interest in the Federal election; the likelihood of voting in the Federal election; M.P.'s voting habits; the most important problem facing Canada; the political party with the best leader; the political party with the best policies; voluntary wage restraint; and women having the right to choose an abortion. Basic demographic variables are also included. 356 - October This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions on political issues within the country; such as voting habits and issues regarding the upcoming Federal election. There are also questions regarding tax relief, inflation and unemployment. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the amount of taxes paid by corporations; the certainty of voting in the upcoming Federal election; corporate tax relief; the ease at which to get unemployment insurance; the improved Canadian economy; improvements in inflation; the increase of unemployment insurance; the interest in the upcoming Federal election; the leader with the best campaign; Lewis's criticism of corporate tax; the most sincere leader; and whether or not a respondents name is on the voters list. Basic demographic variables are also included.

  16. H

    Replication Data for: Who is Curating My Political Feed? Characterizing...

    • dataverse.harvard.edu
    • dataone.org
    Updated Sep 28, 2023
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    Jennifer Oser; Nir Grinberg (2023). Replication Data for: Who is Curating My Political Feed? Characterizing Political Exposure of Registered U.S. Voters on Twitter [Dataset]. http://doi.org/10.7910/DVN/OP9JQT
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Jennifer Oser; Nir Grinberg
    License

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

    Area covered
    United States
    Description

    Replication data for the list of curating actors used in this work.

  17. A

    Gallup Polls, 1974

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1974 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/XC82S0
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    txt(21504)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada, Canada
    Description

    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.

  18. Los Angeles Times Poll: National Issues, 1995; 1997

    • archive.ciser.cornell.edu
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    Los Angeles times, Los Angeles Times Poll: National Issues, 1995; 1997 [Dataset]. http://doi.org/10.6077/r603-pc22
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    Dataset provided by
    Los Angeles Timeshttp://latimes.com/
    Authors
    Los Angeles times
    Variables measured
    Individual
    Description

    March 1995: This survey was conducted by the Los Angeles Times from March 15-19, 1995 on a National sample of 1,007 registered voters. Major topics covered: Clinton job performance; party preference; US economy; Congress; Clinton in the 1996 election; abortion; Republican party politics; race relations; discrimination; affirmative action; Vietnam

    October 1995: Right/wrong track; Bill Clinton job performance; party best able; Clinton vs. Congress; confidence in Congress; trusting government; government spending; economy; personal finances; political groups; favorability of political parties; two-party system; Hillary Rodham Clinton; welfare; environment; race relations; marriage; homosexual relations; Roe v. Wade; prayer in schools; moral climate; intolerance; immigration; United Nations; foreign policy; crime; assault weapons ban; own a handgun; on-line computer services; 1996 elections; third party; 1992 election; current employment; born again; the Bible.

    February 1997: Direction of country; Bill Clinton job performance; congressional job performance; Clinton vs Republicans in Congress; issue with top priority; economy; Clinton impression; Newt Gingrich impression; State of the Union address; Clinton's proposals; balancing the budget; social security plans; financial health of the Medicare system; proposals to change Medicare; welfare reform bill; Clinton's ethics; Gingrich step down; Gingrich fine; Gingrich's punishment; Democratic National Committee; campaign finance reform bill; Clinton selling presidency; O.J. Simpson verdict; government medical insurance.

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31093058 and https://doi.org/10.25940/ROPER-31093074. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

  19. f

    Rates of party change.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Aaron R. Kaufman; Eitan D. Hersh (2023). Rates of party change. [Dataset]. http://doi.org/10.1371/journal.pone.0236815.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aaron R. Kaufman; Eitan D. Hersh
    License

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

    Description

    The statewide rate of leaving the Republican party is 5.6%, but among the loved ones of opioid overdose victims, that rate 25% higher. The Control columns indicate registered voters matched to cancer and overdose victims’ families. Substantively important differences are bolded.

  20. k

    Eastern Peninsula Highway Emergency SA

    • geohub.kpb.us
    • gis.data.alaska.gov
    • +2more
    Updated Dec 10, 2021
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    Kenai Peninsula Borough (2021). Eastern Peninsula Highway Emergency SA [Dataset]. https://geohub.kpb.us/datasets/58dcac111ddd4412be3b1a061be0038a
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    Dataset updated
    Dec 10, 2021
    Dataset authored and provided by
    Kenai Peninsula Borough
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Eastern Peninsula Highway Emergency Service Area, as described in Chapter 16.80 of the Kenai Peninsula Borough Code of Ordinances, was formed to provide consistent and coordinated response to incidents requiring fire and emergency medical services along the heavily-traveled eastern peninsula highway corridor. There are no registered voters residing in the service area boundaries. The highway corridor serves all borough residents as well as visitors to and from the borough.

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Champaign County Regional Planning Commission (2024). Voter Participation [Dataset]. https://data.ccrpc.org/dataset/voter-participation

Voter Participation

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csv(1677)Available download formats
Dataset updated
Oct 10, 2024
Dataset provided by
Champaign County Regional Planning Commission
Description

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).

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