9 datasets found
  1. 1940 Census: Official 1940 Census Website

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Nov 7, 2024
    + more versions
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    National Archives and Records Administration (2024). 1940 Census: Official 1940 Census Website [Dataset]. https://catalog.data.gov/dataset/1940-census-official-1940-census-website
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset provided by
    National Archives and Records Administrationhttp://www.archives.gov/
    Description

    Website alows the public full access to the 1940 Census images, census maps and descriptions.

  2. H

    CenSoc-Numident

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Dec 2, 2024
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    Joshua R. Goldstein; Monica Alexander; Casey Breen; Andrea Miranda González; Felipe Menares; Maria Osborne; Mallika Snyder; Ugur Yildirim (2024). CenSoc-Numident [Dataset]. http://doi.org/10.7910/DVN/I0TLPI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 2, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Joshua R. Goldstein; Monica Alexander; Casey Breen; Andrea Miranda González; Felipe Menares; Maria Osborne; Mallika Snyder; Ugur Yildirim
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/7.0/customlicense?persistentId=doi:10.7910/DVN/I0TLPIhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/7.0/customlicense?persistentId=doi:10.7910/DVN/I0TLPI

    Description

    The CenSoc-Numident dataset links the 1940 census to the National Archives’ public release of the Social Security Numident file (“NARA Numident”). Our linking strategy relies on first name, last name, year of birth, and place of birth. To link unmarried women, we use father’s last name as a proxy for women’s maiden name. We use the ABE fully automated linking approach developed by Abramitzky, Boustan, and Eriksson (2012, 2014, 2017). To work with this dataset, researchers must download and link the 1940 full-count Census sample from IPUMS-USA on the HISTID variable. Please adhere to the citation and usage guidelines of both CenSoc and IPUMS-USA when using this dataset. The CenSoc-Numident supplemental geography file contains additional variables with place of birth and/or place of death information, such as county of birth and death, for a subset of the CenSoc-Numident dataset. The CenSoc-Numident sibling files identify sibling groups in the CenSoc-Numident dataset.

  3. H

    CenSoc-DMF

    • dataverse.harvard.edu
    Updated May 22, 2025
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    Joshua R. Goldstein; Monica Alexander; Casey Breen; Andrea Miranda González; Felipe Menares; Maria Osborne; Mallika Snyder; Ugur Yildirim (2025). CenSoc-DMF [Dataset]. http://doi.org/10.7910/DVN/QGKF9Y
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 22, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Joshua R. Goldstein; Monica Alexander; Casey Breen; Andrea Miranda González; Felipe Menares; Maria Osborne; Mallika Snyder; Ugur Yildirim
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.0/customlicense?persistentId=doi:10.7910/DVN/QGKF9Yhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.0/customlicense?persistentId=doi:10.7910/DVN/QGKF9Y

    Description

    The CenSoc-DMF dataset links the 1940 census to the Death Master File, a collection of over 83 million death records reported to the Social Security Administration. This matched file includes only men, as surname changes due to marriage for women present challenges for accurate linkage. Our linking strategy relies on first name, last name, and year of birth. We use the ABE fully automated linking approach developed by Abramitzky, Boustan, and Eriksson (2012, 2014, 2017). To work with this dataset, researchers must download and link the 1940 full-count Census sample from IPUMS-USA on the HISTID variable. Please adhere to the citation and usage guidelines of both CenSoc and IPUMS-USA when using this dataset.

  4. c

    Total Population: Champaign County Townships, 1900-2020

    • data.ccrpc.org
    csv
    Updated Oct 14, 2021
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    Champaign County Regional Planning Commission (2021). Total Population: Champaign County Townships, 1900-2020 [Dataset]. https://data.ccrpc.org/ar/dataset/f2c6a640-ee4a-4aca-8f4b-2545e2f880ab
    Explore at:
    csv(2841)Available download formats
    Dataset updated
    Oct 14, 2021
    Dataset provided by
    Champaign County Regional Planning Commission
    Area covered
    Champaign County
    Description

    Sources: U.S. Census Bureau; 2020 Census (P.L. 94-171) Redistricting Data Summary Files; (25 August 2021). U.S. Census Bureau; Census 2000, Summary File 1, Table DP-1; generated by CCRPC staff; using American FactFinder; http://factfinder2.census.gov; (30 December 2015). U.S. Census Bureau; Census 2010, Summary File 1, Table P1; generated by CCRPC staff; using American FactFinder; http://factfinder2.census.gov; (30 December 2015). U.S. Census Bureau; 1980 Census of Population, Volume 1: Characteristics of the Population, Chapter A: Number of Inhabitants, Part 15: Illinois, PC80-1-A15, Table 4, Population of County Subdivisions: 1960-1980, Department of Commerce and Labor Bureau of the Census; Thirteenth Census of the United States Taken in the Year 1910, Statistics for Illinois, Table 1. - Population of Minor Civil Divisions: 1910, 1900, and 1890.; https://www.census.gov/programs-surveys/decennial-census/decade/decennial-publications.1910.html; (23 August 2018). Department of Commerce Bureau of the Census; Fourteenth Census of the United States, State Compendium Illinois, Table 2. - Population of Minor Civil Divisions: 1920, 1910, and 1900. https://www.census.gov/library/publications/1924/dec/state-compendium.html; (23 August 2018). U.S. Department of Commerce Bureau of the Census; Fifteenth Census of the United States: 1930, Population: Volume III, Reports by States, Illinois and Idaho, Table 21; https://www.census.gov/library/publications/1932/dec/1930a-vol-03-population.html; (23 August 2018). United States Department of Commerce Bureau of the Census, Sixteenth Census of the United States: 1940, Population: Volume 1, Number of Inhabitants, Total Population for States, Counties, and Minor Civil Divisions; for Urban and Rural Areas; for Incorporated Places; for Metropolitan Districts; and for Census Tracts; Table 4; https://www.census.gov/library/publications/1942/dec/population-vol-1.html.; (23 August 2018). U.S Department of Commerce Bureau of the Census; Census of Population: 1950, Volume I Number of Inhabitants, Table 6; https://www.census.gov/library/publications/1952/dec/population-vol-01.html; (23 August 2018).

  5. c

    Total Population: Champaign County Municipalities, 1900-2020

    • data.ccrpc.org
    csv
    Updated Oct 5, 2023
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    Champaign County Regional Planning Commission (2023). Total Population: Champaign County Municipalities, 1900-2020 [Dataset]. https://data.ccrpc.org/ca/dataset/f01a0295-9bc4-45f0-88eb-8e4e25df1693
    Explore at:
    csv(1832)Available download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Champaign County Regional Planning Commission
    Area covered
    Champaign County
    Description

    Sources: U.S. Census Bureau; 2020 Census (P.L. 94-171) Redistricting Data Summary Files; (17 August 2021). U.S. Census Bureau; Census 2000, Summary File 1, Table DP-1; generated by CCRPC staff; using American FactFinder; http://factfinder2.census.gov; (30 December 2015). U.S. Census Bureau; Census 2010, Summary File 1, Table P1; generated by CCRPC staff; using American FactFinder; http://factfinder2.census.gov; (30 December 2015). U.S. Census Bureau; 1980 Census of Population, Volume 1: Characteristics of the Population, Chapter A: Number of Inhabitants, Part 15: Illinois, PC80-1-A15, Table 4, Population of County Subdivisions: 1960-1980. Department of Commerce and Labor Bureau of the Census; Thirteenth Census of the United States Taken in the Year 1910, Statistics for Illinois, Table 1. - Population of Minor Civil Divisions: 1910, 1900, and 1890.; https://www.census.gov/programs-surveys/decennial-census/decade/decennial-publications.1910.html; (23 August 2018). Department of Commerce Bureau of the Census; Fourteenth Census of the United States, State Compendium Illinois, Table 3. - Population of Incorporated Places: 1920, 1910, and 1900. https://www.census.gov/library/publications/1924/dec/state-compendium.html; (23 August 2018). U.S. Department of Commerce Bureau of the Census; Fifteenth Census of the United States: 1930, Population: Volume III, Reports by States, Illinois and Idaho, Tables 12, 22; https://www.census.gov/library/publications/1932/dec/1930a-vol-03-population.html; (23 August 2018). United States Department of Commerce Bureau of the Census, Sixteenth Census of the United States: 1940, Population: Volume 1, Number of Inhabitants, Total Population for States, Counties, and Minor Civil Divisions; for Urban and Rural Areas; for Incorporated Places; for Metropolitan Districts; and for Census Tracts; Tables 2, 5; https://www.census.gov/library/publications/1942/dec/population-vol-1.html.; (23 August 2018), U.S Department of Commerce Bureau of the Census; Census of Population: 1950, Volume I Number of Inhabitants, Table 7; https://www.census.gov/library/publications/1952/dec/population-vol-01.html; (23 August 2018).

  6. H

    CenSoc Demo Files

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jan 25, 2024
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    Joshua R. Goldstein; Monica Alexander; Casey Breen; Andrea Miranda González; Felipe Menares; Maria Osborne; Mallika Snyder; Ugur Yildirim (2024). CenSoc Demo Files [Dataset]. http://doi.org/10.7910/DVN/QVDPM9
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Joshua R. Goldstein; Monica Alexander; Casey Breen; Andrea Miranda González; Felipe Menares; Maria Osborne; Mallika Snyder; Ugur Yildirim
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/QVDPM9https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/QVDPM9

    Description

    A prelinked “demo” version of the CenSoc-DMF and CenSoc-Numident datasets with approximately 15 mortality covariates from the 1940 Census and ~1% of records in the complete CenSoc datasets. Please adhere to the citation and usage guidelines of both CenSoc and IPUMS-USA when using this dataset.

  7. a

    Tract-Level Housing Unit and Urbanization Estimates for the Continental...

    • hub.arcgis.com
    • gis-bradd-ky.opendata.arcgis.com
    Updated Jul 21, 2022
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    Barren River Area Development District (2022). Tract-Level Housing Unit and Urbanization Estimates for the Continental U.S., 1940-2019 [Dataset]. https://hub.arcgis.com/datasets/68ec6188d792455a9d781635da397c8b
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    Dataset updated
    Jul 21, 2022
    Dataset authored and provided by
    Barren River Area Development District
    Area covered
    Description

    This map shows the historical housing unit change in consistent 2010 census tract boundaries from 1940 to 2019. In many cities over that time period—especially in the 1950s and 1960s—federal, state, and local governments demolished thousands of housing units as part of their "urban renewal" programs. These neighborhoods were typically in the older parts of city centers, contained lower income populations, and had higher shares of Black, Hispanic, and immigrant residents than their respective cities. Homes were typically replaced with new interstate highways and thoroughfares, stadiums, civic buildings, parking lots, high rises, rights of way, and other non-residential uses. In a fraction of cases, homes were replaced with public housing. Many of these areas show up as red on this map because they still have not regained the level of housing they had before World War II.Urban renewal is not the only reason for housing loss. Many tracts in places that have been undergoing population decline—especially cities in the North and Midwest and many rural communities—have also lost considerable amounts of housing over this time period.On the other side of things, many suburban and exurban areas—especially in the South and West—have experienced significant population and housing unit growth. These places show up as blue on this map.The data used to make this map comes from the Historical Housing Unit and Urbanization Database 2010, or HHUUD10. To read more on the methodologies used to estimate the housing unit counts, please refer to the methods paper. To download the data in tabular form, please visit the data repository. To download the feature layer used to make this map or read about the attributes, see the feature layer. Please also remember that these data are estimates and are therefore imperfect. They should be treated like all interpolated data: with caution and a healthy dose of skepticism.Citation:Markley, S.N., Holloway, S.R., Hafley, T.J., Hauer, M.E. 2022. Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019. Scientific Data 9 (82). https://doi.org/10.1038/s41597-022-01184-x

  8. N

    Sumter, SC Population Breakdown by Gender and Age

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
    + more versions
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    Neilsberg Research (2023). Sumter, SC Population Breakdown by Gender and Age [Dataset]. https://www.neilsberg.com/research/datasets/67ace87f-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Sumter, South Carolina
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Sumter by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Sumter. The dataset can be utilized to understand the population distribution of Sumter by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Sumter. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Sumter.

    Key observations

    Largest age group (population): Male # 20-24 years (1,940) | Female # 25-29 years (1,982). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Sumter population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Sumter is shown in the following column.
    • Population (Female): The female population in the Sumter is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Sumter for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Sumter Population by Gender. You can refer the same here

  9. N

    New Concord, OH Age Cohorts Dataset: Children, Working Adults, and Seniors...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). New Concord, OH Age Cohorts Dataset: Children, Working Adults, and Seniors in New Concord - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4b970c30-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    New Concord, Ohio
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the New Concord population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Concord. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 1,940 (73.96% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the New Concord population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in New Concord is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the New Concord is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Concord Population by Age. You can refer the same here

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    Learn how you can add new datasets to our index.

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National Archives and Records Administration (2024). 1940 Census: Official 1940 Census Website [Dataset]. https://catalog.data.gov/dataset/1940-census-official-1940-census-website
Organization logo

1940 Census: Official 1940 Census Website

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 7, 2024
Dataset provided by
National Archives and Records Administrationhttp://www.archives.gov/
Description

Website alows the public full access to the 1940 Census images, census maps and descriptions.

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