16 datasets found
  1. Historic US Census - 1900

    • stanford.redivis.com
    • 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, application/jsonl, sas, spss, parquet, avro, stata, csvAvailable 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. H

    Census Linking Project: 1900-1910 Crosswalk

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jul 31, 2025
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    Ran Abramitzky; Leah Boustan; Katherine Eriksson; Myera Rashid; Santiago Pérez (2025). Census Linking Project: 1900-1910 Crosswalk [Dataset]. http://doi.org/10.7910/DVN/XUXYSR
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 31, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Ran Abramitzky; Leah Boustan; Katherine Eriksson; Myera Rashid; Santiago Pérez
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.7910/DVN/XUXYSRhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.7910/DVN/XUXYSR

    Description

    This crosswalk consists of individuals matched between the 1900 and 1910 complete-count US Censuses. Within the crosswalk, users have the option to select the linking method with which these matches were created. This version of the crosswalk contains links made by the ABE-exact (conservative and standard) method, the ABE-NYSIIS (conservative and standard) method, ABE-EI exact (conservative and standard) method, and the ABE-EI NYSIIS (conservative and standard) method, with variants in which race is used as a matching variable. This crosswalk also includes Census Tree Links created by Joseph Price, Kasey Buckles and Mark Clement at the Brigham Young University (BYU) Record Linking Lab. More detail on these links can be found in the census_tree_links_BYU_readme. For any chosen method, users can merge into this crosswalk a wide set of individual- and household-level variables provided publicly by IPUMS, thereby creating a historical longitudinal dataset for analysis.

  3. Historic US Census - 1870

    • redivis.com
    application/jsonl +7
    Updated Feb 1, 2019
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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

  4. 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
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    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.

  5. A census of penguin colony counts (provided to OBIS) from the year 1900 to...

    • obis.org
    • researchdata.edu.au
    • +4more
    zip
    Updated Feb 7, 2019
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    Intergovernmental Oceanographic Commission of UNESCO (2019). A census of penguin colony counts (provided to OBIS) from the year 1900 to 1996 in the Antarctic Region [Dataset]. https://obis.org/dataset/f4accecd-9166-43fb-a72b-b909e5f52987
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 7, 2019
    Dataset provided by
    Intergovernmental Oceanographic Commissionhttp://ioc-unesco.org/
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    License

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

    Time period covered
    1900 - 1998
    Area covered
    Antarctica
    Description

    This dataset is a census of penguin colony counts from the year 1900 in the Antarctic region. It forms part of the Inventory of Antarctic seabird breeding sites within the Antarctic and subantarctic islands.

  6. e

    Demography of Sri Lanka, 1900-1954 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 22, 2023
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    (2023). Demography of Sri Lanka, 1900-1954 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c4b6bb05-9a77-571a-b2f6-191c601572ac
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    Dataset updated
    Oct 22, 2023
    Area covered
    Sri Lanka
    Description

    Abstract copyright UK Data Service and data collection copyright owner. The aims of this study were : to examine trends in fertility, nuptiality and mortality in Sri Lanka (Ceylon became Sri Lanka in 1972) in the period prior to demographic transition, i.e. prior to the 1950s. There is a tendency to suppose that, prior to transition, developing world countries had more or less constant fertility and mortality - at high levels - albeit with the fluctuations in both caused by famines and epidemics. There may have been more complex movements in Sri Lanka; to search for the reasons for changes which occurred, by examining how these varied across the approximately 20 administrative districts of the island and considering whether this variation was associated with district characteristics such as literacy, availability of health services, etc. Main Topics: Some problems were encountered by the Archive with the original files supplied for this dataset. More details are given below under 'Availability'. The following files comprise the data available to users : Births SLVSBS.WK1 : contains Sri Lanka vital statistics, giving births by gender from 1900 to 1954 for the 21 administrative districts, ethnic groups, (Sinhalese, Tamils, Moors) and Estates. It further subdivides Tamil births from 1940 into Ceylon and Indian Tamils. SLVSBMTH.WK1 : contains Sri Lanka vital statistics, giving births by sex by month from 1949 to 1954 for 21 administrative districts. SLVSBMTH.WK1 : this file was recovered by the Archive using Norton Utilities software. This process only recovered part of the data (45,565 out of 232,795 bytes). The file contains births by gender per quarter for the years 1900-1913 for all races, but only for 7 out of 21 districts. The unrecovered part includes 1914-1921 births by gender by quarter for all Sri Lanka, districts, and also Estates - total births by quarter 1900-25. Deaths SLVSCDQ.WK2 : causes of death, 1910 to 1921. SLVSDAS.WK3 : deaths by age by gender, 1920 to 1922. SLVSDMTH.WK3 : deaths by gender and by month, 1937 to 1945. Census Information The Census files contain information on population in age ranges, by gender and by marital status. Age ranges and marital status differ between the Censuses. The Census of 1931 only contains the total population for administrative districts and does not include marital status or age ranges.

  7. Population of the United States 1500-2100

    • statista.com
    Updated Aug 1, 2025
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    Statista (2025). Population of the United States 1500-2100 [Dataset]. https://www.statista.com/statistics/1067138/population-united-states-historical/
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    Dataset updated
    Aug 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

  8. B

    Baldwin-Green Study: Canada-U.S. Census of Industry 1867-1940

    • borealisdata.ca
    Updated Jun 14, 2019
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    John Baldwin; Alan Green (2019). Baldwin-Green Study: Canada-U.S. Census of Industry 1867-1940 [Dataset]. http://doi.org/10.5683/SP3/INV5ZH
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 14, 2019
    Dataset provided by
    Borealis
    Authors
    John Baldwin; Alan Green
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.1/customlicense?persistentId=doi:10.5683/SP3/INV5ZHhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.1/customlicense?persistentId=doi:10.5683/SP3/INV5ZH

    Time period covered
    1867 - 1940
    Area covered
    Canada, United States
    Description

    This study matches Canadian and US manufacturing industries at the 2-digit SIC code level for census years 1900 to 1940. Canadian figures start at 1870. Only general figures were recorded, such as number of employees, number of establishments, salary and wages, gross production, cost of input materials, gross value added. The project does have some drawbacks, such as the lack of US figures gross production, cost of materials, and lack of figures for the iron and steel industry. But for an aggregate comparison of the two countries, the numbers can be considered reliable.

  9. o

    Replication: Malaria, Race, and Inequality: Evidence from the Early 1900s...

    • openicpsr.org
    delimited
    Updated Aug 17, 2021
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    Faizaan Kisat; Emily Battaglia (2021). Replication: Malaria, Race, and Inequality: Evidence from the Early 1900s U.S. South [Dataset]. http://doi.org/10.3886/E147701V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 17, 2021
    Dataset provided by
    Princeton University
    Authors
    Faizaan Kisat; Emily Battaglia
    License

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

    Area covered
    Southern United States, United States
    Description

    This study investigates the impact of malaria eradication programs on Black-white economic disparities in the early 1900s U.S. South. Malaria eradication was widespread and improved health across races. Yet, only white men experienced economic benefits. Using matched census records, we find that increased exposure to the program was associated with higher schooling attainment and income for whites but not for Blacks. Blacks exposed to malaria eradication were more likely to be farm laborers, and both Blacks and whites were more likely to migrate out of state. Our findings suggest that malaria eradication, a broadly applied intervention, widened racial gaps.

  10. Historical Jewish population by region 1170-1995

    • statista.com
    Updated Jan 1, 2001
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    Statista (2001). Historical Jewish population by region 1170-1995 [Dataset]. https://www.statista.com/statistics/1357607/historical-jewish-population/
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    Dataset updated
    Jan 1, 2001
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The world's Jewish population has had a complex and tumultuous history over the past millennia, regularly dealing with persecution, pogroms, and even genocide. The legacy of expulsion and persecution of Jews, including bans on land ownership, meant that Jewish communities disproportionately lived in urban areas, working as artisans or traders, and often lived in their own settlements separate to the rest of the urban population. This separation contributed to the impression that events such as pandemics, famines, or economic shocks did not affect Jews as much as other populations, and such factors came to form the basis of the mistrust and stereotypes of wealth (characterized as greed) that have made up anti-Semitic rhetoric for centuries. Development since the Middle Ages The concentration of Jewish populations across the world has shifted across different centuries. In the Middle Ages, the largest Jewish populations were found in Palestine and the wider Levant region, with other sizeable populations in present-day France, Italy, and Spain. Later, however, the Jewish disapora became increasingly concentrated in Eastern Europe after waves of pogroms in the west saw Jewish communities move eastward. Poland in particular was often considered a refuge for Jews from the late-Middle Ages until the 18th century, when it was then partitioned between Austria, Prussia, and Russia, and persecution increased. Push factors such as major pogroms in the Russian Empire in the 19th century and growing oppression in the west during the interwar period then saw many Jews migrate to the United States in search of opportunity.

  11. g

    Aging of Veterans of the Union Army: Surgeons' Certificates, Version S-1...

    • search.gesis.org
    Updated Jan 18, 2006
    + more versions
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    Fogel, Robert W., et al. (2006). Aging of Veterans of the Union Army: Surgeons' Certificates, Version S-1 Standardized, 1862-1940 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR03417
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    Dataset updated
    Jan 18, 2006
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    Fogel, Robert W., et al.
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de436566https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de436566

    Area covered
    Union
    Description

    Abstract (en): 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 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." This version of the Surgeons' Certificates differs from the previous version, AGING OF VETERANS OF THE UNION ARMY: SURGEONS' CERTIFICATES, 1860-1940 (ICPSR 2877), in that the data contain standard codes for medical variables and that 5,346 new observations have been added from Ohio veterans. This collection studies the health conditions and disabilities of Union Army veterans, identifying relationships between biomedical and socioeconomic conditions. Also examined is the impact of age at onset of disabilities, comorbidities, and rates of deterioration on waiting time to death. These data also look at the connection between the burden of diseases and the cause of death among Union Army veterans compared to that of persons dying toward the end of the twentieth century. The investigators seek to determine how the age-specific curve of chronic disease burdens after age 50 has changed over time. Union Army recruits in white volunteer infantry regiments. Commissioned officers, Black recruits, and other branches of the military were excluded from the universe. A one-stage cluster sample of Union Army companies was randomly selected from the "Regimental Books" housed at the National Archives in Washington, DC. 2006-01-18 File DOC3417.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-18 File CB3417.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health (NIH-PO1-AG10120). National Science Foundation (NSF-SBR-9114981). (1) This collection contains 87,233 cases that are split into five files containing all the cases per group of variables. (2) Files can be merged by using the variables "recidnum" and "examnum." Users should refer to the Supplemental Documentation for information on merging these files.(3) The codebook and supplemental documentation are provided as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

  12. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  13. M

    Colorado Population 1900-2024

    • macrotrends.net
    csv
    Updated Aug 31, 2025
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    MACROTRENDS (2025). Colorado Population 1900-2024 [Dataset]. https://www.macrotrends.net/states/colorado/population
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    csvAvailable download formats
    Dataset updated
    Aug 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
    Colorado
    Description

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

  14. Black and slave population in the United States 1790-1880

    • statista.com
    • tokrwards.com
    Updated Aug 1, 2025
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    Statista (2025). Black and slave population in the United States 1790-1880 [Dataset]. https://www.statista.com/statistics/1010169/black-and-slave-population-us-1790-1880/
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    Dataset updated
    Aug 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    There were almost 700 thousand slaves in the U.S. in 1790, which equated to approximately 18 percent of the total population, or roughly one in six people. By 1860, the final census taken before the American Civil War, there were four million slaves in the South, compared with less than 500,000 free Black Americans in all of the U.S.. Of the 4.4 million Blacks in the U.S. before the war, almost four million of these people were held as slaves; meaning that for all African Americans living in the US in 1860, there was an 89 percent* chance that they lived in slavery. A brief history Trans-Atlantic slavery began in the early 16th century, when the Portuguese and Spanish forcefully brought enslaved Africans to the New World. The British Empire introduced slavery to North America on a large scale, and the economy of the British colonies there depended on slave labor, particularly regarding cotton, sugar, and tobacco output. In the seventeenth and eighteenth century the number of slaves being brought to the Americas increased exponentially, and at the time of American independence it was legal in all thirteen colonies. Although slavery became increasingly prohibited in the north, the number of slaves remained high during this time as they were simply relocated or sold from the north to the south. It is also important to remember that the children of slaves were also viewed as property, and were overwhelmingly born into a life of slavery. Abolition and the American Civil War In the years that followed independence, the Northern States gradually prohibited slavery, it was officially abolished there by 1805, and the importation of slave labor was prohibited nationwide from 1808 (although both still existed in practice after this). Business owners in the Southern States however depended on slave labor in order to meet the demand of their rapidly expanding industries, and the issue of slavery continued to polarize American society in the decades to come. This culminated in the election of President Abraham Lincoln in 1860, who promised to prohibit slavery in the newly acquired territories to the west, leading to the American Civil War from 1861 to 1865. Although the Confederacy (south) took the upper hand in much of the early stages of the war, the strength in numbers of the northern states including many free, Black men, eventually resulted in a victory for the Union (north), and the nationwide abolishment of slavery with the Thirteenth Amendment in 1865. Legacy In total, an estimated twelve to thirteen million Africans were transported to the Americas as slaves, and this does not include the high number who did not survive the journey (which was as high as 23 percent in some years). In the 150 years since the abolition of slavery in the US, the African-American community have continuously campaigned for equal rights and opportunities that were not afforded to them along with freedom. The most prominent themes have been the Civil Rights Movement, voter suppression, mass incarceration, and the relationship between the police and the African-American community.

  15. n

    NODC Standard Format Marine Birds from Coastal Alaska and Puget Sound Data...

    • access.earthdata.nasa.gov
    • dataone.org
    • +3more
    not provided
    + more versions
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    NODC Standard Format Marine Birds from Coastal Alaska and Puget Sound Data (1975-1980): Marine Bird Sighting, Land Census (F034) (NCEI Accession 0014156) [Dataset]. https://access.earthdata.nasa.gov/collections/C2089373093-NOAA_NCEI
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    not provided(6.372 KB)Available download formats
    Time period covered
    Jan 1, 1975 - Aug 29, 1980
    Area covered
    Description

    NODC Standard Marine Bird Sighting, Land Census (F034) is one of a group of seven datasets related to Marine Birds from Coastal Alaska and Puget Sound Data (1975 -1980). Each dataset uses the NODC Taxonomic Code to indicate species.

    Marine Bird Sighting, Land Census (F034) contains data from field observations of marine birds made along land survey tracks. These data are collected to provide information on population density and distribution and breeding locales. The contents and structure of data type file are similar to Marine Bird Sighting, Aircraft Census (F033), although the transect distance of land surveys will normally be shorter than that of ship and aircraft surveys. In this data type the investigator defines the lateral dimension of survey distance unit (a specified number of whole meters). Start and end position, date and elapsed time, and number of distance units are reported for each survey. Environmental information may include meteorological and adjacent sea surface conditions, distance to nearest shoreline, ice characteristics, and debris, including oil slicks. Species data may include age, sex, color, plumage, number of individuals, flight direction, behavior, and foodsource association. Any number of species may be reported within one observation time span. These data were collected in 1975 - 1980 for coastal Alaska.

  16. Population of Nigeria 1950-2024

    • statista.com
    Updated Aug 1, 2024
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    Statista (2024). Population of Nigeria 1950-2024 [Dataset]. https://www.statista.com/statistics/1122838/population-of-nigeria/
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    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    As of July 2024, Nigeria's population was estimated at around 229.5 million. Between 1965 and 2024, the number of people living in Nigeria increased at an average rate of over two percent. In 2024, the population grew by 2.42 percent compared to the previous year. Nigeria is the most populous country in Africa. By extension, the African continent records the highest growth rate in the world. Africa's most populous country Nigeria was the most populous country in Africa as of 2023. As of 2022, Lagos held the distinction of being Nigeria's biggest urban center, a status it also retained as the largest city across all of sub-Saharan Africa. The city boasted an excess of 17.5 million residents. Notably, Lagos assumed the pivotal roles of the nation's primary financial hub, cultural epicenter, and educational nucleus. Furthermore, Lagos was one of the largest urban agglomerations in the world. Nigeria's youthful population In Nigeria, a significant 50 percent of the populace is under the age of 19. The most prominent age bracket is constituted by those up to four years old: comprising 8.3 percent of men and eight percent of women as of 2021. Nigeria boasts one of the world's most youthful populations. On a broader scale, both within Africa and internationally, Niger maintains the lowest median age record. Nigeria secures the 20th position in global rankings. Furthermore, the life expectancy in Nigeria is an average of 62 years old. However, this is different between men and women. The main causes of death have been neonatal disorders, malaria, and diarrheal diseases.

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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, application/jsonl, sas, spss, parquet, avro, stata, csvAvailable 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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