100+ datasets found
  1. 1940 Census: Official 1940 Census Website

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

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

  2. Census Data

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Mar 1, 2024
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    U.S. Bureau of the Census (2024). Census Data [Dataset]. https://catalog.data.gov/dataset/census-data
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

  3. 1950 Census Population Schedules, Enumeration District Maps, and Enumeration...

    • registry.opendata.aws
    Updated Apr 1, 2022
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    National Archives and Records Administration (NARA) (2022). 1950 Census Population Schedules, Enumeration District Maps, and Enumeration District Descriptions [Dataset]. https://registry.opendata.aws/nara-1950-census/
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    Dataset updated
    Apr 1, 2022
    Dataset provided by
    National Archives and Records Administrationhttp://www.archives.gov/
    Description

    The 1950 Census population schedules were created by the Bureau of the Census in an attempt to enumerate every person living in the United States on April 1, 1950, although some persons were missed. The 1950 census population schedules were digitized by the National Archives and Records Administration (NARA) and released publicly on April 1, 2022. The 1950 Census enumeration district maps contain maps of counties, cities, and other minor civil divisions that show enumeration districts, census tracts, and related boundaries and numbers used for each census. The coverage is nation wide and includes territorial areas. The 1950 Census enumeration district descriptions contain written descriptions of census districts, subdivisions, and enumeration districts.

  4. Historic US Census - 1940

    • redivis.com
    application/jsonl +7
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). Historic US Census - 1940 [Dataset]. http://doi.org/10.57761/660g-eq95
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    avro, arrow, sas, application/jsonl, spss, parquet, stata, csvAvailable download formats
    Dataset updated
    Jan 10, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 1940 - Dec 31, 1940
    Area covered
    United States
    Description

    Abstract

    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 IPUMS 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.

    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

    Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census 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 historic US census 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.Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census 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 historic US census 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 historic US 1940 census data was collected in April 1940. 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.

    Notes

    • We provide IPUMS household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.
    • Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT40, reconstructed using the variable SERIAL40, and the original count is found in the variable NUMPREC40.
    • Some variables are missing from this data set for specific enumeration districts. The enumeration districts with missing data can be identified using the variable EDMISS. These variables will be added in a future release.
    • Coded variables derived from string variables are still in progress. These variables include: occupation, industry and migration status.
    • Missing observations have been allocated and some inconsistencies have been edited for the following variables: Missing observations have been allocated and some inconsistencies have been edited for the following variables: SURSIM, SEX, SCHOOL, RELATE, RACE, OCC1950, MTONGUE, MBPL, FBPL, BPL, MARST, EMPSTAT, CITIZEN, OWNERSHP. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.
    • Most inconsistent information was not edited for this release, thus there are observations outside of the universe for many variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next r
  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/gsmz-24068kvny
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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 1920 datasets.

  6. Data from: US Census Data

    • console.cloud.google.com
    Updated Jun 22, 2022
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    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&hl=de&inv=1&invt=Ab3GPw (2022). US Census Data [Dataset]. https://console.cloud.google.com/marketplace/product/united-states-census-bureau/us-census-data?hl=de
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    Dataset updated
    Jun 22, 2022
    Dataset provided by
    Googlehttp://google.com/
    Area covered
    United States
    Description

    The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole. The United States census dataset includes nationwide population counts from the 2000 and 2010 censuses. Data is broken out by gender, age and location using zip code tabular areas (ZCTAs) and GEOIDs. ZCTAs are generalized representations of zip codes, and often, though not always, are the same as the zip code for an area. GEOIDs are numeric codes that uniquely identify all administrative, legal, and statistical geographic areas for which the Census Bureau tabulates data. GEOIDs are useful for correlating census data with other censuses and surveys. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  7. 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
    University of Notre Dame
    Brigham Young University
    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.

  8. National Statistics Postcode Lookup - 2021 Census (February 2023) for the UK...

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated Feb 22, 2023
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    Office for National Statistics (2023). National Statistics Postcode Lookup - 2021 Census (February 2023) for the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/c7debafcef564e7a9dfb8ca881be4253
    Explore at:
    Dataset updated
    Feb 22, 2023
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This file contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom as at February 2023 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. To download the zip file click the Download button. The NSPL relates both current and terminated postcodes to a range of current statutory geographies via ‘best-fit’ allocation from the 2021 Census Output Areas (national parks and Workplace Zones are exempt from ‘best-fit’ and use ‘exact-fit’ allocations) for England and Wales. Scotland and Northern Ireland has the 2011 Census Output AreasIt supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The NSPL is issued quarterly. (File size - 188 MB).

  9. r

    Persons

    • redivis.com
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). Persons [Dataset]. https://redivis.com/datasets/gsmz-24068kvny
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    1920
    Description

    This dataset includes all individuals from the 1920 US census.

  10. First results from the 2021 Census in England and Wales

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 28, 2022
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    Office for National Statistics (2022). First results from the 2021 Census in England and Wales [Dataset]. https://www.gov.uk/government/statistics/first-results-from-the-2021-census-in-england-and-wales
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    Dataset updated
    Jun 28, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Area covered
    England, Wales
    Description

    Official statistics are produced impartially and free from political influence.

  11. History of census: 1801 to 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 20, 2022
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    Office for National Statistics (2022). History of census: 1801 to 2021 [Dataset]. https://www.gov.uk/government/statistics/history-of-census-1801-to-2021
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    Dataset updated
    Jun 20, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  12. US Gross Rent ACS Statistics

    • kaggle.com
    Updated Aug 23, 2017
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    Golden Oak Research Group (2017). US Gross Rent ACS Statistics [Dataset]. https://www.kaggle.com/datasets/goldenoakresearch/acs-gross-rent-us-statistics/versions/3
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Golden Oak Research Group
    Area covered
    United States
    Description

    What you get:

    Upvote! The database contains +40,000 records on US Gross Rent & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 325,272 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to upvote. Upvote right now, please. Enjoy!

    Get the full free database with coupon code: FreeDatabase, See directions at the bottom of the description... And make sure to upvote :) coupon ends at 2:00 pm 8-23-2017

    Gross Rent & Geographic Statistics:

    • Mean Gross Rent (double)
    • Median Gross Rent (double)
    • Standard Deviation of Gross Rent (double)
    • Number of Samples (double)
    • Square area of land at location (double)
    • Square area of water at location (double)

    Geographic Location:

    • Longitude (double)
    • Latitude (double)
    • State Name (character)
    • State abbreviated (character)
    • State_Code (character)
    • County Name (character)
    • City Name (character)
    • Name of city, town, village or CPD (character)
    • Primary, Defines if the location is a track and block group.
    • Zip Code (character)
    • Area Code (character)

    Abstract

    The data set originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.

    License

    Only proper citing is required please see the documentation for details. Have Fun!!!

    Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.

    For any questions, you may reach us at research_development@goldenoakresearch.com. For immediate assistance, you may reach me on at 585-626-2965

    please note: it is my personal number and email is preferred

    Check our data's accuracy: Census Fact Checker

    Access all 325,272 location for Free Database Coupon Code:

    Don't settle. Go big and win big. Optimize your potential**. Access all gross rent records and more on a scale roughly equivalent to a neighborhood, see link below:

    A small startup with big dreams, giving the every day, up and coming data scientist professional grade data at affordable prices It's what we do.

  13. General Population Census IV and Housing II 1963 - IPUMS Subset - Uruguay

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 26, 2018
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    General Office of Statistics and Censuses (2018). General Population Census IV and Housing II 1963 - IPUMS Subset - Uruguay [Dataset]. https://microdata.worldbank.org/index.php/catalog/1079
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    Dataset updated
    Apr 26, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Minnesota Population Center
    Time period covered
    1963
    Area covered
    Uruguay
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Dwelling and person

    UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes

    UNIT DESCRIPTIONS: - Dwellings: Every separate and independent structure that has been constructed or converted for use as temporary or permanent housing. This includes any class of fixed or mobile shelter used as a place of lodging at the time of enumeration. A dwelling can be a) a private house, apartment, floor in a house, room or group of rooms, ranch, etc. designed to give lodging to one person or a group of people or b) a boat, vehicle, railroad car, barn, shed, or any other type of shelter occupied as a place of lodging at the time of enumeration. - Households: All the occupying members of a family or private dwelling that live together as family. In most cases, a household is made up of a head of the family, relatives of this person (wife or partner, children, grand-children, nieces and nephews, etc.), close friends, guests, lodgers, domestic employees and all other occupants. Households with five or fewer lodgers are considered private,but households with six or more lodgers are considered a non-family group. - Group quarters: Accommodation for a group of people who are not usually connected by kinship ties who live together for reasons of discipline, healthcare, education, mlitary activity, religion, work or other dwellings such as reform schools, boarding schools, barracks, hopsitals, guest houses, nursing homes, workers camps, etc.

    Universe

    Population in private and communal housing

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: National Institute of Statistics

    SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center

    SAMPLE UNIT: Household

    SAMPLE FRACTION: 10%

    SAMPLE SIZE (person records): 268,248

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Single record that includes housing and population questionnaires

  14. 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/gsmz-24068kvny
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    1920
    Description

    This dataset includes all households from the 1920 US census.

  15. Census 1981 data

    • statistics.ukdataservice.ac.uk
    7z, csv, zip
    Updated Jul 17, 2024
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2024). Census 1981 data [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/census-1981-data
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    7z, zip, csvAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Archive of 1981 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.

  16. Census of Population and Housing 1990 - IPUMS Subset - United States

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 26, 2018
    + more versions
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    U.S. Census Bureau (2018). Census of Population and Housing 1990 - IPUMS Subset - United States [Dataset]. https://microdata.worldbank.org/index.php/catalog/2117
    Explore at:
    Dataset updated
    Apr 26, 2018
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Minnesota Population Center
    Time period covered
    1990
    Area covered
    United States
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Households and Group Quarters

    UNITS IDENTIFIED: - Dwellings: No - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes

    UNIT DESCRIPTIONS: - Households: Dwelling places with fewer than ten persons unrelated to a household head, excluding institutions and transient quarters. - Group quarters: Institutions, transient quarters, and dwelling places with ten or more persons unrelated to a household head.

    Universe

    Residents of the 50 states (not the outlying areas).

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: U.S. Census Bureau

    SAMPLE UNIT: Household

    SAMPLE FRACTION: 5%

    SAMPLE SIZE (person records): 12,501,046

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 1990 census used a single long-form questionnaire completed by one-half of persons in places with a population under 2,500, one-sixth of persons in other tracts and block numbering areas with fewer than 2,000 housing units, and one-eighth of all other areas. Overall, about one-sixth of housing units completed a long form.

    Response rate

    UNDERCOUNT: No official estimates

  17. American Community Survey (ACS)

    • console.cloud.google.com
    Updated Jul 16, 2018
    + more versions
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    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&inv=1&invt=Abyneg (2018). American Community Survey (ACS) [Dataset]. https://console.cloud.google.com/marketplace/product/united-states-census-bureau/acs
    Explore at:
    Dataset updated
    Jul 16, 2018
    Dataset provided by
    Googlehttp://google.com/
    Description

    The American Community Survey (ACS) is an ongoing survey that provides vital information on a yearly basis about our nation and its people by contacting over 3.5 million households across the country. The resulting data provides incredibly detailed demographic information across the US aggregated at various geographic levels which helps determine how more than $675 billion in federal and state funding are distributed each year. Businesses use ACS data to inform strategic decision-making. ACS data can be used as a component of market research, provide information about concentrations of potential employees with a specific education or occupation, and which communities could be good places to build offices or facilities. For example, someone scouting a new location for an assisted-living center might look for an area with a large proportion of seniors and a large proportion of people employed in nursing occupations. Through the ACS, we know more about jobs and occupations, educational attainment, veterans, whether people own or rent their homes, and other topics. Public officials, planners, and entrepreneurs use this information to assess the past and plan the future. For more information, see the Census Bureau's ACS Information Guide . This public dataset is hosted in Google BigQuery as part of the Google Cloud Public Datasets Program , with Carto providing cleaning and onboarding support. It is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  18. International Census Data

    • console.cloud.google.com
    Updated Nov 19, 2019
    + more versions
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    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&inv=1&invt=Ab1B8Q (2019). International Census Data [Dataset]. https://console.cloud.google.com/marketplace/product/united-states-census-bureau/international-census-data
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    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Googlehttp://google.com/
    Description

    The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates. Note: The U.S. Census Bureau provides estimates and projections for countries and areas that are recognized by the U.S. Department of State that have a population of at least 5,000. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  19. g

    Census Bureau US Boundaries

    • console.cloud.google.com
    Updated Jul 12, 2020
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    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&inv=1&invt=Ab2Tzg (2020). Census Bureau US Boundaries [Dataset]. https://console.cloud.google.com/marketplace/product/united-states-census-bureau/us-geographic-boundaries
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    Dataset updated
    Jul 12, 2020
    Dataset provided by
    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&inv=1&invt=Ab2Tzg
    Area covered
    United States
    Description

    These are full-resolution boundary files, derived from TIGER/Line Shapefiles, the fully-supported, core geographic products from the US Census Bureau. They are extracts of selected geographic and cartographic information from the US Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. These include information for the 50 states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). These include polygon boundaries of geographic and statistical areas, linear features including roads and hydrography, and point features. These files are converted and made available in BigQuery by the Cloud Public Datasets Program to support geospatial analysis through BigQuery GIS . The dataset describes the boundaries of the following US areas: States Counties 115th & 116th US Congressional Districts Metropolitan and Micropolitan Statistical Areas Urban Areas City Limits Combined Statistical Areas Coastline Populated Places National border For more details on each dataset, see the technical documentation published by the Census Bureau. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .</

  20. i

    National Population Housing Census 1981 - IPUMS Subset - Greece

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Mar 29, 2019
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    National Statistical Service of Greece (2019). National Population Housing Census 1981 - IPUMS Subset - Greece [Dataset]. https://catalog.ihsn.org/catalog/5354
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    National Statistical Service of Greece
    Minnesota Population Center
    Time period covered
    1981
    Area covered
    Greece
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Not available in microdata sample - Special populations: No

    UNIT DESCRIPTIONS: - Dwellings: Separated space with independent access that serves as a human lodging - Households: Individuals living in the same dwelling and sharing at least one meal. - Group quarters: Group of persons who share a common roof and food because of work, health, religion, etc.

    Universe

    The entire population of the country, including all households and dwellings.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: National Statistical Service of Greece

    SAMPLE DESIGN: All the proccessed data (10% of the total) by NSSG

    SAMPLE UNIT: Household

    SAMPLE FRACTION: 10%

    SAMPLE UNIVERSE: Microdata are available for 100% of the population.

    SAMPLE SIZE (person records): 923,108

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    P1 for private households

    Response rate

    COVERAGE: 100%

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

1940 Census: Official 1940 Census Website

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

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

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