46 datasets found
  1. Historic US Census - 1900

    • redivis.com
    application/jsonl +7
    Updated Jan 10, 2020
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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: Surgeons' Certificates, United States,...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated May 18, 2018
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    Fogel, Robert William; Costa, Dora L. (2018). Aging of Veterans of the Union Army: Surgeons' Certificates, United States, 1862-1940 [Dataset]. http://doi.org/10.3886/ICPSR02877.v2
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    spss, sas, delimited, stata, r, asciiAvailable download formats
    Dataset updated
    May 18, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Fogel, Robert William; Costa, Dora L.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2877/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2877/terms

    Time period covered
    1862 - 1940
    Area covered
    United States
    Dataset funded by
    National Science Foundation
    United States Department of Health and Human Services. National Institutes of Health
    Description

    This data collection, Aging of Veterans of the Union Army: Surgeons' Certificates, United States, 1862-1940, 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 collects military, medical, and socioeconomic data on a sample of white males mustered into the Union Army during the Civil War. The surgeons' certificates contain information from examining physicians to determine eligibility for pension benefits. Also included are questions regarding the age, occupation, residence, and military experience of the veterans. These data can be linked to "Aging of Veterans of the Union Army: Military, Pension, and Medical Records, 1820-1940" (ICPSR 6837) and "Aging of Veterans of the Union Army: United States Federal Census Records, 1850, 1860, 1900, 1910" (ICPSR 6836) using the variable "recidnum."

  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
    Brigham Young University
    Cornell 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. r

    Households

    • redivis.com
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). Households [Dataset]. https://redivis.com/datasets/sjpj-cg93p22yj
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    Feb 1, 1900 - Dec 31, 1900
    Description

    This dataset includes all households from the 1900 US census.

  5. r

    Lookup

    • redivis.com
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). Lookup [Dataset]. https://redivis.com/datasets/sjpj-cg93p22yj
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Description

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

  6. 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
    Explore at:
    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

  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
    Explore at:
    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. United States Population: All Ages

    • ceicdata.com
    Updated Feb 5, 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
    Explore at:
    Dataset updated
    Feb 5, 2001
    Dataset provided by
    CEIC Data
    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.

  9. 2019 Economic Surveys: AB1900CSA01 | Annual Business Survey: Statistics for...

    • data.census.gov
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    ECN, 2019 Economic Surveys: AB1900CSA01 | Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB1900CSA01?q=Metro+Construction+Inc
    Explore at:
    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: 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:.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. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...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 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. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. 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."...Industry and Geography Coverage:..The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown for the 3-digit NAICS code for:..United States. States and the District of Columbia...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and 112) are out of scope..Footnote 661 - Transportation and warehousing (Secto...

  10. Brazil Population Census: Northeast: Paraiba

    • ceicdata.com
    Updated Oct 26, 2019
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    CEICdata.com (2019). Brazil Population Census: Northeast: Paraiba [Dataset]. https://www.ceicdata.com/en/brazil/population-census-by-state/population-census-northeast-paraiba
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    Dataset updated
    Oct 26, 2019
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 1920 - Jul 1, 2022
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Population Census: Northeast: Paraiba data was reported at 3,974,687.000 Person in 2022. This records an increase from the previous number of 3,766,528.000 Person for 2010. Population Census: Northeast: Paraiba data is updated yearly, averaging 2,810,032.000 Person from Jul 1900 (Median) to 2022, with 13 observations. The data reached an all-time high of 3,974,687.000 Person in 2022 and a record low of 490,784.000 Person in 1900. Population Census: Northeast: Paraiba data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAC008: Population Census: by State.

  11. Brazil Population Census: Southeast: Espirito Santo

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Population Census: Southeast: Espirito Santo [Dataset]. https://www.ceicdata.com/en/brazil/population-census-by-state/population-census-southeast-espirito-santo
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 1920 - Jul 1, 2022
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Population Census: Southeast: Espirito Santo data was reported at 3,833,712.000 Person in 2022. This records an increase from the previous number of 3,514,952.000 Person for 2010. Population Census: Southeast: Espirito Santo data is updated yearly, averaging 2,063,679.000 Person from Jul 1900 (Median) to 2022, with 13 observations. The data reached an all-time high of 3,833,712.000 Person in 2022 and a record low of 209,783.000 Person in 1900. Population Census: Southeast: Espirito Santo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAC008: Population Census: by State.

  12. 2019 Economic Surveys: AB1900CSA02 | Annual Business Survey: Years in...

    • data.census.gov
    Updated Oct 28, 2021
    + more versions
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    ECN (2021). 2019 Economic Surveys: AB1900CSA02 | Annual Business Survey: Years in Business Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB1900CSA02?y=2019&codeset=naics~484
    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
    Area covered
    United States
    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:.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. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...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). ...The data are also shown for the number of years the firm has been in operation:.Years in Business:. 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. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. 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."...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown for the 3-digit NAICS code for:..United States...For more information about NAICS, see NAICS Codes & Understanding Industry Classificati...

  13. Brazil Population Census: Northeast: Rio Grande do Norte

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Population Census: Northeast: Rio Grande do Norte [Dataset]. https://www.ceicdata.com/en/brazil/population-census-by-state/population-census-northeast-rio-grande-do-norte
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 1920 - Jul 1, 2022
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Population Census: Northeast: Rio Grande do Norte data was reported at 3,302,729.000 Person in 2022. This records an increase from the previous number of 3,168,027.000 Person for 2010. Population Census: Northeast: Rio Grande do Norte data is updated yearly, averaging 1,933,126.000 Person from Jul 1900 (Median) to 2022, with 13 observations. The data reached an all-time high of 3,302,729.000 Person in 2022 and a record low of 274,317.000 Person in 1900. Population Census: Northeast: Rio Grande do Norte data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAC008: Population Census: by State.

  14. T

    United States Population

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Population [Dataset]. https://tradingeconomics.com/united-states/population
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Dec 15, 2024
    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.

  15. Brazil Population Census: North: Para

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Population Census: North: Para [Dataset]. https://www.ceicdata.com/en/brazil/population-census-by-state/population-census-north-para
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 1920 - Jul 1, 2022
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Population Census: North: Para data was reported at 8,121,025.000 Person in 2022. This records an increase from the previous number of 7,581,051.000 Person for 2010. Population Census: North: Para data is updated yearly, averaging 3,507,312.000 Person from Jul 1900 (Median) to 2022, with 13 observations. The data reached an all-time high of 8,121,025.000 Person in 2022 and a record low of 445,356.000 Person in 1900. Population Census: North: Para data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAC008: Population Census: by State.

  16. o

    The Census Tree, 1860-1900

    • openicpsr.org
    Updated Aug 8, 2023
    + more versions
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    Joseph Price; Kasey Buckles; Adrian Haws; Haley Wilbert (2023). The Census Tree, 1860-1900 [Dataset]. http://doi.org/10.3886/E193233V1
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    Dataset updated
    Aug 8, 2023
    Dataset provided by
    Brigham Young University
    Cornell 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
    1860 - 1900
    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. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.

  17. n

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

    • blog.neuinfo.org
    • scicrunch.org
    • +3more
    Updated Jun 17, 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
    Jun 17, 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

  18. Brazil Population Census: Male

    • ceicdata.com
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    CEICdata.com, Brazil Population Census: Male [Dataset]. https://www.ceicdata.com/en/brazil/population-census/population-census-male
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 1900 - Jul 1, 2022
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Brazil Population Census: Male data was reported at 98,532,431.000 Person in 2022. This records an increase from the previous number of 93,406,990.000 Person for 2010. Brazil Population Census: Male data is updated yearly, averaging 52,735,041.500 Person from Jul 1900 (Median) to 2022, with 12 observations. The data reached an all-time high of 98,532,431.000 Person in 2022 and a record low of 8,900,526.000 Person in 1900. Brazil Population Census: Male data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC001: Population Census.

  19. d

    CCZO -- Land Use History -- Agriculture Census -- Union County, SC --...

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 5, 2021
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    James C. Giesen (2021). CCZO -- Land Use History -- Agriculture Census -- Union County, SC -- (1850-1850) [Dataset]. https://search.dataone.org/view/sha256%3A433f5e39b905750e3d2dc841015685dae9586f629369e46fa6d80d8585bbccfc
    Explore at:
    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    James C. Giesen
    Time period covered
    Jan 1, 1850 - Dec 31, 1850
    Area covered
    Description

    This is a transcribed spreadsheet of the original US Census bureau data from the 1850 Agriculture Census of Union County, South Carolina.

    Date Range Comments: Census was in 1850, not 1950. CZO CMS cannot handle pre-1900 dates so we're temporarily using 1950. Record to be fixed in HydroShare.

  20. M

    California Population 1900-2024

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). California Population 1900-2024 [Dataset]. https://www.macrotrends.net/states/california/population
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    California
    Description

    Chart and table of population level and growth rate for the state of California from 1900 to 2024.

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

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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