85 datasets found
  1. Historic US Census - 1900

    • redivis.com
    • stanford.redivis.com
    application/jsonl +7
    Updated Jan 10, 2020
    + more versions
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    Stanford Center for Population Health Sciences (2020). Historic US Census - 1900 [Dataset]. http://doi.org/10.57761/mez6-j880
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    arrow, spss, avro, sas, application/jsonl, csv, parquet, stataAvailable download formats
    Dataset updated
    Jan 10, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Feb 1, 1900 - Dec 31, 1900
    Area covered
    United States
    Description

    Documentation

    The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

    Historic data are scarce and often only exists in aggregate tables. The key advantage of the IPUMS data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

    In sum: the IPUMS data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

    The IPUMS 1900 census data was collected in June 1900. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

    Section 2

    This dataset was created on 2020-01-10 22:51:40.810 by merging multiple datasets together. The source datasets for this version were:

    IPUMS 1900 households: This dataset includes all households from the 1900 US census.

    IPUMS 1900 persons: This dataset includes all individuals from the 1910 US census.

    IPUMS 1900 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1900 datasets.

    Section 3

    The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

    Historic data are scarce and often only exists in aggregate tables. The key advantage of the IPUMS data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

    In sum: the IPUMS data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

    The IPUMS 1900 census data was collected in June 1900. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

  2. Aging of Veterans of the Union Army: United States Federal Census Records,...

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Jun 13, 2006
    + more versions
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    Fogel, Robert W., et al. (2006). Aging of Veterans of the Union Army: United States Federal Census Records, 1850, 1860, 1900, 1910 [Dataset]. http://doi.org/10.3886/ICPSR06836.v6
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    stata, sas, ascii, spssAvailable download formats
    Dataset updated
    Jun 13, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Fogel, Robert W., et al.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6836/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6836/terms

    Time period covered
    1850
    Area covered
    Ohio, New Hampshire, Connecticut, Vermont, Missouri, New Mexico, Delaware, Indiana, Kentucky, United States
    Description

    This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project is collecting military, medical, and socioeconomical data on a sample of white males mustered into the Union Army during the Civil War. The project seeks to examine the influence of environmental and host factors prior to recruitment on the health performance and survival of recruits during military service, to identify and show relationships between socioeconomic and biomedical conditions (including nutritional status) of veterans at early ages and mortality rates from diseases at middle and late ages, and to study the effects of health and pensions on labor force participation rates of veterans at ages 65 and over. This installment of the collection, Version C-3, supersedes all previous collections (Versions C-1 and C-2), and contains data from the censuses of 1850, 1860, 1900, and 1910 on veterans who were originally mustered into the Union Army in Connecticut, Delaware, District of Columbia, Illinois, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, Ohio, Pennsylvania, Vermont, and West Virginia. This version of the collection also contains observations from Wisconsin, Indiana, California, and New Mexico. Census Data, Part 1, includes place of residence, relationship to head of household, date and place of birth, number of children, education, disability status, employment status, number of years in the United States, literacy, marital status, occupation, parents' birthplace, and property/home ownership. The variables in Part 2, Linkage Data, indicate which document sources were located for each recruit.

  3. o

    The Census Tree: Replication Files for 1900-1910

    • openicpsr.org
    delimited
    Updated Aug 8, 2023
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    Joseph Price; Kasey Buckles; Adrian Haws; Haley Wilbert (2023). The Census Tree: Replication Files for 1900-1910 [Dataset]. http://doi.org/10.3886/E193323V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 8, 2023
    Dataset provided by
    Cornell University
    Brigham Young University
    University of Notre Dame
    Authors
    Joseph Price; Kasey Buckles; Adrian Haws; Haley Wilbert
    License

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

    Time period covered
    1900 - 1910
    Area covered
    United States
    Description

    The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. This project contains the files necessary to closely replicate the links between the 1900 and 1910 censuses. For more information, consult the included Read Me file, and visit https://censustree.org.

  4. Historic US Census - 1870

    • redivis.com
    application/jsonl +7
    Updated Feb 1, 2019
    + more versions
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    Stanford Center for Population Health Sciences (2019). Historic US Census - 1870 [Dataset]. http://doi.org/10.57761/jt8f-3n08
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    application/jsonl, sas, spss, arrow, csv, avro, parquet, stataAvailable download formats
    Dataset updated
    Feb 1, 2019
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Area covered
    United States
    Description

    Abstract

    This dataset includes all individuals from the 1870 US census.

    Before Manuscript Submission

    All manuscripts (and other items you'd like to publish) must be submitted to

    phsdatacore@stanford.edu for approval prior to journal submission.

    We will check your cell sizes and citations.

    For more information about how to cite PHS and PHS datasets, please visit:

    https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

    Documentation

    This dataset was developed through a collaboration between the Minnesota Population Center and the Church of Jesus Christ of Latter-Day Saints. The data contain demographic variables, economic variables, migration variables and race variables. Unlike more recent census datasets, pre-1900 census datasets only contain individual level characteristics and no household or family characteristics, but household and family identifiers do exist.

    The official enumeration day of the 1870 census was 1 June 1870. The main goal of an early census like the 1870 U.S. census was to allow Congress to determine the collection of taxes and the appropriation of seats in the House of Representatives. Each district was assigned a U.S. Marshall who organized other marshals to administer the census. These enumerators visited households and recorder names of every person, along with their age, sex, color, profession, occupation, value of real estate, place of birth, parental foreign birth, marriage, literacy, and whether deaf, dumb, blind, insane or “idiotic”.

    Sources: Szucs, L.D. and Hargreaves Luebking, S. (1997). Research in Census Records, The Source: A Guidebook of American Genealogy. Ancestry Incorporated, Salt Lake City, UT Dollarhide, W.(2000). The Census Book: A Genealogist’s Guide to Federal Census Facts, Schedules and Indexes. Heritage Quest, Bountiful, UT

  5. U

    United States Population: All Ages

    • ceicdata.com
    Updated Feb 1, 2001
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    CEICdata.com (2001). United States Population: All Ages [Dataset]. https://www.ceicdata.com/en/united-states/population-by-age/population-all-ages
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    Dataset updated
    Feb 1, 2001
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    United States
    Variables measured
    Population
    Description

    United States Population: All Ages data was reported at 325,719.000 Person th in 2017. This records an increase from the previous number of 323,406.000 Person th for 2016. United States Population: All Ages data is updated yearly, averaging 176,356.000 Person th from Jun 1900 (Median) to 2017, with 118 observations. The data reached an all-time high of 325,719.000 Person th in 2017 and a record low of 76,094.000 Person th in 1900. United States Population: All Ages data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.G002: Population by Age. Series Remarks Population data for the years 1900 to 1949 exclude the population residing in Alaska and Hawaii. Population data for the years 1940 to 1979 cover the resident population plus Armed Forces overseas. Population data for all other years cover only the resident population.

  6. o

    Census Tree Links

    • openicpsr.org
    Updated Jul 12, 2021
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    Kasey Buckles; Joseph Price (2021). Census Tree Links [Dataset]. http://doi.org/10.3886/E144904V1
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    Dataset updated
    Jul 12, 2021
    Dataset provided by
    Brigham Young University
    University of Notre Dame
    Authors
    Kasey Buckles; Joseph Price
    License

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

    Time period covered
    1900 - 1920
    Area covered
    United States
    Description

    The data sets in this repository allow users to link people among the U.S. decennial censuses, using the "histid" identifier. The census data sets users will need are indexed by Ancestry.com and are hosted by IPUMS at https://usa.ipums.org/usa-action/samples. Users will need to download the full-count census for each year and be sure to select the "histid" variable that is available under the Person/Historical Technical drop-down menu.As of 7/12/21, links are available between the 1900-1910, 1910-1920, and 1900-1920 censuses.A detailed account of how these links are created and a description of the data and its characteristics are available in the following article:Price, J., Buckles, K., Van Leeuwen, J., & Riley, I. (2021). Combining family history and machine learning to link historical records: The Census Tree data set. Explorations in Economic History, 80, 101391.https://www.sciencedirect.com/science/article/pii/S0014498321000024

  7. H

    Nevada Census Microdata, 1860-1920

    • dataverse.harvard.edu
    Updated Dec 30, 2014
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    Ronald M. James; Kenneth H. Fliess; Eric C. Nystrom (2014). Nevada Census Microdata, 1860-1920 [Dataset]. http://doi.org/10.7910/DVN/27218
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 30, 2014
    Dataset provided by
    Harvard Dataverse
    Authors
    Ronald M. James; Kenneth H. Fliess; Eric C. Nystrom
    License

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

    Time period covered
    1860 - 1920
    Area covered
    Nevada
    Description

    The Nevada Census Microdata provides a complete-count transcription of the manuscript census pages from the state of Nevada, for the federal censuses of 1860, 1870, 1880, 1900, 1910, and 1920. It includes nearly all of the information that was recorded on the census forms, though the questions asked by census-takers changed over time. This data can help researchers investigate historical questions related to immigration, migration, industrialization, work, and family. The multiple years covered by the data permit valuable longitudinal studies, at least within the state of Nevada. Future phases of the project will include more extensive documentation and refining field names and values to make this data as compatible as possible with other sources used in historical demography, such as those published by the Integrated Public Use Microdata Series (IPUMS).

  8. C

    Total Population: Area Counties, 1900-2020

    • data.ccrpc.org
    csv
    Updated Oct 14, 2021
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    Champaign County Regional Planning Commission (2021). Total Population: Area Counties, 1900-2020 [Dataset]. https://data.ccrpc.org/dataset/population-trends-1900-2020-counties
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    csvAvailable download formats
    Dataset updated
    Oct 14, 2021
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Sources: U.S. Census Bureau, Census 2020; generated by CCRPC staff; using 2020 Census Demographic Data Map Viewer; https://www.census.gov/library/visualizations/2021/geo/demographicmapviewer.html; (18 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 2, Land Area and Population: 1930-1980. U.S. Census Bureau; Fourteenth Census of the United States; State Compendium Illinois, Table 1. - Area and Population of Counties: 1850 to 1920; https://www.census.gov/library/publications/1924/dec/state-compendium.html; (23 August 2018).

  9. d

    Early Indicators of Later Work Levels Disease and Death (EI) - Union Army...

    • dknet.org
    • neuinfo.org
    • +2more
    Updated May 13, 2025
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    (2025). Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets [Dataset]. http://identifiers.org/RRID:SCR_008921
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    Dataset updated
    May 13, 2025
    Description

    A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

  10. 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/dataset/population-trends-1900-2020-municipalities
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    csvAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    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).

  11. d

    Human Population in the Western United States (1900 - 2000)

    • dataone.org
    • data.wu.ac.at
    Updated Dec 1, 2016
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    Steven Hanser, USGS-FRESC, Snake River Field Station (2016). Human Population in the Western United States (1900 - 2000) [Dataset]. https://dataone.org/datasets/e4102f83-6264-4903-9105-e7d5e160b98a
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Steven Hanser, USGS-FRESC, Snake River Field Station
    Area covered
    Variables measured
    FID, AREA, FIPS, STATE, Shape, COUNTY, STFIPS, PC10-00, PC20-10, PC30-20, and 30 more
    Description

    Map containing historical census data from 1900 - 2000 throughout the western United States at the county level. Data includes total population, population density, and percent population change by decade for each county. Population data was obtained from the US Census Bureau and joined to 1:2,000,000 scale National Atlas counties shapefile.

  12. F

    Resident Population in the West North Central Census Division

    • fred.stlouisfed.org
    json
    Updated Dec 23, 2024
    + more versions
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    (2024). Resident Population in the West North Central Census Division [Dataset]. https://fred.stlouisfed.org/series/CWNCPOP
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    jsonAvailable download formats
    Dataset updated
    Dec 23, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    West North Central states
    Description

    Graph and download economic data for Resident Population in the West North Central Census Division (CWNCPOP) from 1900 to 2024 about West North Central Census Division, residents, population, and USA.

  13. 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/dataset/population-trends-1900-2020-townships
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 14, 2021
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    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).

  14. F

    Resident Population in the West South Central Census Division

    • fred.stlouisfed.org
    json
    Updated Dec 23, 2024
    + more versions
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    (2024). Resident Population in the West South Central Census Division [Dataset]. https://fred.stlouisfed.org/series/CWSCPOP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 23, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    West South Central states
    Description

    Graph and download economic data for Resident Population in the West South Central Census Division (CWSCPOP) from 1900 to 2024 about West South Central Census Division, residents, population, and USA.

  15. European-origin and Mexican-origin Populations in Texas, 1850, 1860, 1870,...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jun 20, 2016
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    Gutmann, Myron P. (2016). European-origin and Mexican-origin Populations in Texas, 1850, 1860, 1870, 1880, 1900, 1910 [Dataset]. http://doi.org/10.3886/ICPSR35032.v1
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    r, delimited, ascii, spss, sas, stataAvailable download formats
    Dataset updated
    Jun 20, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Gutmann, Myron P.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/35032/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35032/terms

    Time period covered
    1850
    Area covered
    Texas, United States
    Description

    This dataset was produced in the 1990s by Myron Gutmann and others at the University of Texas to assess demographic change in European- and Mexican-origin populations in Texas from the mid-nineteenth to early-twentieth centuries. Most of the data come from manuscript records for six rural Texas counties - Angelina, DeWitt, Gillespie, Jack, Red River, and Webb - for the U.S. Censuses of 1850-1880 and 1900-1910, and tax records where available. Together, the populations of these counties reflect the cultural, ethnic, economic, and ecological diversity of rural Texas. Red River and Angelina Counties, in Eastern Texas, had largely native-born white and black populations and cotton economies. DeWitt County in Southeast Texas had the most diverse population, including European and Mexican immigrants as well as native-born white and black Americans, and its economy was divided between cotton and cattle. The population of Webb County, on the Mexican border, was almost entirely of Mexican origin, and economic activities included transportation services as well as cattle ranching. Gillespie County in Central Texas had a mostly European immigrant population and an economy devoted to cropping and livestock. Jack County in North-Central Texas was sparsely populated, mainly by native-born white cattle ranchers. These counties were selected to over-represent the European and Mexican immigrant populations. Slave schedules were not included, so there are no African Americans in the samples for 1850 or 1860. In some years and counties, the Census records were sub-sampled, using a letter-based sample with the family as the primary sampling unit (families were chosen if the surname of the head began with one of the sample letters for the county). In other counties and years, complete populations were transcribed from the Census microfilms. For details and sample sizes by county, see the County table in the Original P.I. Documentation section of the ICPSR Codebook, or see Gutmann, Myron P. and Kenneth H. Fliess, How to Study Southern Demography in the Nineteenth Century: Early Lessons of the Texas Demography Project (Austin: Texas Population Research Center Papers, no. 11.11, 1989).

  16. 2019 Economic Surveys: NS1900NONEMP | All Sectors: Nonemployer Statistics by...

    • data.census.gov
    Updated Jun 30, 2022
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    ECN (2022). 2019 Economic Surveys: NS1900NONEMP | All Sectors: Nonemployer Statistics by Legal Form of Organization and Receipts Size Class for the U.S., States, and Selected Geographies: 2019 (ECNSVY Nonemployer Statistics) [Dataset]. https://data.census.gov/cedsci/table?q=ns19&n=481
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    Dataset updated
    Jun 30, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2019
    Area covered
    United States
    Description

    Release Date: 2022-06-30.Release Schedule:.The data in this file were released on June 30, 2022...Key Table Information:.Beginning with reference year 2005, Nonemployer data are released using the Noise Infusion methodology to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the Nonemployer Statistics data series...Data Items and Other Identifying Records:. This file contains data on the total number of firms and receipts. . Number of nonemployer establishments . Nonemployer Sales, value of shipments, or revenue ($1,000) . Noise range for nonemployer Sales, value of shipments, or revenue ..Geography Coverage:.The data are shown at the U.S. and State level for LFO and the U.S. level for Receipt Size Class. All other data is shown at the U.S., State, County, Combined Statistical Area, and Metropolitan/Micropolitan Statistical Areas...Industry Coverage:.The data are shown at the 2- through (where available) 6-digit NAICS code levels for all sectors with published data. Data for nonemployers generally are provided at broader levels of industry detail than data for employers. For specific exclusions and inclusions, see https://www.census.gov/programs-surveys/nonemployer-statistics/technical-documentation/methodology.html...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/nonemployer-statistics/data/2019/NS1900NONEMP.zip ..API Information:. Nonemployer Statistics data are housed in the Nonemployer Statistics API. For more information, see Census.gov: Developers: Available APIs: County Business Patterns and Nonemployer Statistics (1986-2019): Nonemployer Statistics APIs. ..Methodology:.The universe of this file is all firms with no paid employees or payroll with receipts of $1,000 or more (or $1 for the construction sector) and are subject to federal income tax. The universe is limited to industries in approximately 450 of the nearly 1,200 recognized North American Industry Classification System industries. The universe contains only those codes that are available through administrative records sources and are common to all three legal forms of organization applicable to nonemployer businesses. This is generally a broader level of detail than would typically be provided for employer data. For specific exclusions and inclusions, see https://www.census.gov/programs-surveys/nonemployer-statistics/technical-documentation/methodology.html...Nonemployer Statistics originate from tax return information of the Internal Revenue Service. The data are subject to nonsampling error such as errors of self-classification by industry on tax forms, as well as errors of response, nonreporting and coverage. Values provided by each firm are slightly modified to protect the respondent's confidentiality. For further information about methodology and data limitations, see Survey Methodology...Symbols:. G - Low noise; cell value was changed by less than 2 percent by the application of noise. H - Moderate noise; cell value was changed by 2 percent or more but less than 5 percent by the application of noise. J - High noise; cell value was changed by 5 percent or more by the application of noise. S - Withheld because estimate did not meet publication standards. N - Not available or not comparable. For a complete list of symbols, see Nonemployer Statistics (NES): About this Program: Nonemployer Glossary: Abbreviations and Symbols.. .Source:..U.S. Census Bureau, 2019 Nonemployer Statistics..For more information about Nonemployer Statistics, see Our Surveys and Programs: Nonemployer Statistics (NES)...Contact Information:..U.S. Census Bureau.Economy-Wide Statistics Division .Business Statistics Branch .(301) 763-2580 .ewd.nonemployer.statistics@census.gov

  17. 2019 Economic Surveys: AB1900CSCB02 | Annual Business Survey: Years in...

    • data.census.gov
    Updated Oct 28, 2021
    + more versions
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    ECN (2021). 2019 Economic Surveys: AB1900CSCB02 | Annual Business Survey: Years in Business for Business Characteristics of Respondent Employer Firms by Sex, Ethnicity, Race, and Veteran Status for the U.S.: 2019 (ECNSVY Annual Business Survey Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ABSCB2019.AB1900CSCB02?q=ab1900cscb*&nkd=BUSCHAR~A1,ETH_GROUP~001,QDESC~B01,RACE_GROUP~00,SEX~001,VET_GROUP~001:002:003,YIBSZFI~311
    Explore at:
    Dataset updated
    Oct 28, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2019
    Description

    Release Date: 2021-10-28.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY21-289)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2020 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2020 ABS collection year produces statistics for the 2019 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.This is one of four tables in the ABS series to provide select economic and demographic characteristics of businesses (CB) for U.S. employer firms that reported the sex, ethnicity, race, and veteran status for up to four persons owning the largest percentage(s) of the business. The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Firms are asked to report their employees as of the March 12 pay period...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Percent of employer firms (%). Sales and receipts of employer firms (reported in $1,000s of dollars). Percent of sales and receipts of employer firms (%). Number of employees (during the March 12 pay period). Percent of employees (%). Annual payroll (reported in $1,000s of dollars). Percent of annual payroll (%)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data are further aggregated by the number of years the firm has been in business for:.Firms with less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2019 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Business Characteristics:.The ABS was designed to include select questions about business characteristics from multiple reference...

  18. T

    United States Population

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Population [Dataset]. https://tradingeconomics.com/united-states/population
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    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1900 - Dec 31, 2024
    Area covered
    United States
    Description

    The total population in the United States was estimated at 341.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - United States Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. T

    Resident Population in the East South Central Census Division

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2017
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    TRADING ECONOMICS (2017). Resident Population in the East South Central Census Division [Dataset]. https://tradingeconomics.com/united-states/resident-population-in-the-east-south-central-census-division-thous-of-persons-a-na-fed-data.html
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 4, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    East South Central states
    Description

    Resident Population in the East South Central Census Division was 19916.86600 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in the East South Central Census Division reached a record high of 19916.86600 in January of 2024 and a record low of 7554.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in the East South Central Census Division - last updated from the United States Federal Reserve on September of 2025.

  20. T

    United States - Resident Population in the Mountain Census Division

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2022
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    TRADING ECONOMICS (2022). United States - Resident Population in the Mountain Census Division [Dataset]. https://tradingeconomics.com/united-states/resident-population-in-the-mountain-census-division-thous-of-persons-a-na-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 28, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Resident Population in the Mountain Census Division was 26167.68300 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Resident Population in the Mountain Census Division reached a record high of 26167.68300 in January of 2024 and a record low of 1684.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Resident Population in the Mountain Census Division - last updated from the United States Federal Reserve on September of 2025.

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Stanford Center for Population Health Sciences (2020). Historic US Census - 1900 [Dataset]. http://doi.org/10.57761/mez6-j880
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Historic US Census - 1900

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arrow, spss, avro, sas, application/jsonl, csv, parquet, stataAvailable download formats
Dataset updated
Jan 10, 2020
Dataset provided by
Redivis Inc.
Authors
Stanford Center for Population Health Sciences
Time period covered
Feb 1, 1900 - Dec 31, 1900
Area covered
United States
Description

Documentation

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

Historic data are scarce and often only exists in aggregate tables. The key advantage of the IPUMS data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the IPUMS data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The IPUMS 1900 census data was collected in June 1900. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

Section 2

This dataset was created on 2020-01-10 22:51:40.810 by merging multiple datasets together. The source datasets for this version were:

IPUMS 1900 households: This dataset includes all households from the 1900 US census.

IPUMS 1900 persons: This dataset includes all individuals from the 1910 US census.

IPUMS 1900 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1900 datasets.

Section 3

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

Historic data are scarce and often only exists in aggregate tables. The key advantage of the IPUMS data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the IPUMS data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The IPUMS 1900 census data was collected in June 1900. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

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