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. Historic US Census - 1920

    • redivis.com
    application/jsonl +7
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). Historic US Census - 1920 [Dataset]. http://doi.org/10.57761/v43s-pk48
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    sas, csv, spss, stata, application/jsonl, arrow, avro, parquetAvailable download formats
    Dataset updated
    Jan 10, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 1920 - Dec 31, 1920
    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 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.

    The historic US 1920 census data was collected in January 1920. 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 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 SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.

    • Coded variables derived from string variables are still in progress. These variables include: occupation and industry.

    • Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, MORTGAGE, FARM, CLASSWKR, OCC1950, IND1950, MARST, RACE, SEX, RELATE, MTONGUE. 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 some variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next release.

    %3C!-- --%3E

    Section 2

    This dataset was created on 2020-01-10 18:46:34.647 by merging multiple datasets together. The source datasets for this version were:

    IPUMS 1920 households: This dataset includes all households from the 1920 US census.

    IPUMS 1920 persons: This dataset includes all individuals from the 1920 US census.

    IPUMS 1920 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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/fdpr-cd26cbc9y
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    1940
    Description

    This dataset includes all individuals from the 1940 US census.

  9. 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
    Explore at:
    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.

  10. Census 1971 data

    • statistics.ukdataservice.ac.uk
    7z, docx, xlsx, 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 1971 data [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/census-1971-data
    Explore at:
    7z, docx, xlsx, zipAvailable 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 1971 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.

  11. 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.

  12. g

    Philadelphia Social History Project: Pennsylvania Abolition Society and...

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
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    Hershberg, Theodore (2015). Philadelphia Social History Project: Pennsylvania Abolition Society and Society of Friends Manuscript Census Schedules, 1838, 1847, 1856 [Dataset]. http://doi.org/10.3886/ICPSR03805.v1
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    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Hershberg, Theodore
    Area covered
    Philadelphia
    Description

    Initially taken in 1838 to demonstrate the stability and significance of the African American community and to forestall the abrogation of African American voting rights, the Quaker and Abolitionist census of African Americans was continued in 1847 and 1856 and present an invaluable view of the mid-nineteenth century African American population of Philadelphia. Although these censuses list only household heads, providing aggregate information for other household members, and exclude the substantial number of African Americans living in white households, they provide data not found in the federal population schedules. When combined with the information on African Americans taken from the four federal censuses, they offer researchers a richly detailed view of Philadelphia's African American community spanning some forty years. The three censuses are not of equal inclusiveness or quality, however. The 1838 and 1847 enumerations cover only the "old" City of Philadelphia (river-to-river and from Vine to South Streets) and the immediate surrounding districts (Spring Garden, Northern Liberties, Southwark, Moyamensing, Kensington--1838, West Philadelphia--1847); the 1856 survey includes African Americans living throughout the newly enlarged city which, as today, conforms to the boundaries of Philadelphia County. In spite of this deficiency in areal coverage, the earlier censuses are superior historical documents. The 1838 and 1847 censuses contain data on a wide range of social and demographic variables describing the household indicating address, household size, occupation, whether members were born in Pennsylvania, status-at-birth, debts, taxes, number of children attending school, names of beneficial societies and churches (1838), property brought to Philadelphia from other states (1838), sex composition (1847), age structure (1847), literacy (1847), size of rooms and number of people per room (1847), and miscellaneous remarks (1847). While the 1856 census includes the household address and reports literacy, occupation, status-at-birth, and occasional passing remarks about individual households and their occupants, it excludes the other informational categories. Moreover, unlike the other two surveys, it lists the occupations of only higher status African Americans, excluding unskilled and semiskilled designations, and records the status-at-birth of adults only. Indeed, it even fails to provide data permitting the calculation of the size and age and sex structure of households. Variables for each household head and his household include (differ slightly by census year): name, sex, status-at-birth, occupation, wages, real and personal property, literacy, education, religion, membership in beneficial societies and temperance societies, taxes, rents, dwelling size, address, slave or free birth.

  13. a

    NISRA Demographic

    • space-geoportal-queensub.hub.arcgis.com
    Updated Jul 3, 2023
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    Centre for Geographical Information and Geomatics - QUB (2023). NISRA Demographic [Dataset]. https://space-geoportal-queensub.hub.arcgis.com/maps/6063fdb9e20c4ff98f1b4e12c8ed2196
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    Dataset updated
    Jul 3, 2023
    Dataset authored and provided by
    Centre for Geographical Information and Geomatics - QUB
    Area covered
    Description

    Dataset Name: Demographic data from 2021 CensusData Owner: NISRAContact: census@nisra.co.ukSource URL: https://build.nisra.gov.uk/Uploaded to SPACE Hub: 03/07/23Update Frequency: Per censusScale Threshold: some data has 10k threshold appliedProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonAbstractThe census collected information on the usually resident population of Northern Ireland on Census Day (21 March 2021).Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on Census Day.Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc.The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.Disclosure control methodsStatistical disclosure control (SDC) refers to a range of methods that aim to protect individuals, households, businesses, and their attributes from being identified in published information.NISRA has taken steps to ensure that the confidentiality of respondents is fully protected.All published results from the census have been subject to statistical processes to ensure that individuals cannot be identified. These processes may result in very marginal differences between tables for the same statistic.For Census 2021, NISRA is applying two strategies - targeted record swapping (TRS) and cell key perturbation (CKP), to ensure individuals are protected from identification while minimising the impact on the quality of results.Disclosure control methodologyFor more information, please refer to:Statistical disclosure control methodologyMethodologyThe census questionnaire including the questions asked and the administrative procedures involved in collecting the census data underwent substantial testing. Coding of the data was subject to quality checks.The quality of the results was improved by the use of edit and imputation procedures for missing or incorrect data, and the data were adjusted for over and under-enumeration.The outputs reflect the complete usually-resident population of Northern Ireland.Methodology overviewFurther information on the methodology used in Census 2021 is available in the:Census 2021 methodology overviewQuality issuesThe census results underwent an extensive quality assurance process, which included checks against administrative data sources and information on particular groups such as students and HM Forces personnel.Edit procedures were applied to obviously incorrect responses (such as someone aged 180) and were designed to correct the mistake by making the least possible change to the data.Imputation procedures were applied to missing data on a returned questionnaire, and drew on responses to the question from people with similar characteristics.Quality assurance reportFurther information on the quality assurance processes used in Census 2021 is available in the:Census 2021 quality assurance reportStatement about data qualityFor more information on data quality, including response rate and item response rate, please refer to the:Census 2021 statement about data qualityGeographic referencingIrish National GridNational Statistics publicationCensus statistics are produced by the Northern Ireland Statistics and Research Agency free from political influence and have been assessed as National Statistics by the Office for Statistics Regulation.Office for Statistics RegulationMore information is available on the following web site:Office for Statistics RegulationProducing census statisticsCensus 2021 statistics meet the highest standards of trust, quality and value and are produced using standards set out in the statutory Code of Practice for Statistics.Code of Practice for StatisticsMore information is available in the:Code of Practice for StatisticsDate of publicationJune 2023Further informationCensus 2021 results webpage

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

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    • +1more
    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
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    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).

  15. Census of Canada 1991 - IPUMS Subset - Canada

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 18, 2019
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    Minnesota Population Center (2019). Census of Canada 1991 - IPUMS Subset - Canada [Dataset]. https://microdata.worldbank.org/index.php/catalog/2081
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    Dataset updated
    Apr 18, 2019
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Minnesota Population Center
    Time period covered
    1991
    Area covered
    Canada
    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

    Household

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

    UNIT DESCRIPTIONS: - Dwellings: A dwelling is a separate set of living quarterwith a private entrace from outside or from a common hallway or stairway inside the building. This entrance must not be through someone else's living quarters. - Households: Refers to a person or group of persons (other than foreign residents) who occupy a dwelling and do not have a usual place of residence elsewhere in Canada. It usually consists of a family group with or without other non-family persons, of two or more families sharing a dwelling, of a group of unrelated persons, or of one person living alone. Household members who are temporarily absent on Census Day (e.g., temporary residents elsewhere) are considered as part of their usual household. For census purpose, every person is a member of one and only one household.

    Universe

    Canadian citizens and landed immigrants having a usual place of residence in Canada or residing aroad, on a military base or on a diplomatic mission. The file also includes data on non-permanent residents of Canada. The inclusion of non-permanent residents in the population universe of the 1991 Census marks a change from previous census coverage. The file excludes institutional residents, residents of partial refusal Indian reserves or Indian settlements, and foreign residents, namely foreign diplomats, members of the armed forces of another country who are stationed in Canada, and resdients of another country who are visiting Canada temporarily.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: Statistics Canada

    SAMPLE DESIGN: (a) Systematic sample of every 5th household with a random start was given a long form. (b) The long form sample was then stratified within each georgraphic region. (c) The final sample was selected systematically using a sampling interval of 100/9, with a random start between 0 and the sampling interval. The sample size is equal to 3% of the target population.

    SAMPLE UNIT: Household

    SAMPLE FRACTION: 3%

    SAMPLE SIZE (person records): 809,654

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The long form which requested information about dwellings, households and individuals.

  16. a

    NISRA Health Data

    • space-geoportal-queensub.hub.arcgis.com
    Updated Jul 3, 2023
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    Centre for Geographical Information and Geomatics - QUB (2023). NISRA Health Data [Dataset]. https://space-geoportal-queensub.hub.arcgis.com/maps/becf8e0b52d04b4eabe7aca4572c91f5
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    Dataset updated
    Jul 3, 2023
    Dataset authored and provided by
    Centre for Geographical Information and Geomatics - QUB
    Area covered
    Description

    Dataset Name: NISRA Health DataData Owner: NISRAContact: census@nisra.co.ukSource URL: https://build.nisra.gov.uk/Uploaded to SPACE Hub: 03/07/23Update Frequency: Per censusScale Threshold: some data has 10k threshold appliedProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonAbstractThe census collected information on the usually resident population of Northern Ireland on Census Day (21 March 2021).Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on Census Day.Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc.The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.Disclosure control methodsStatistical disclosure control (SDC) refers to a range of methods that aim to protect individuals, households, businesses, and their attributes from being identified in published information.NISRA has taken steps to ensure that the confidentiality of respondents is fully protected.All published results from the census have been subject to statistical processes to ensure that individuals cannot be identified. These processes may result in very marginal differences between tables for the same statistic.For Census 2021, NISRA is applying two strategies - targeted record swapping (TRS) and cell key perturbation (CKP), to ensure individuals are protected from identification while minimising the impact on the quality of results.Disclosure control methodologyFor more information, please refer to:Statistical disclosure control methodologyMethodologyThe census questionnaire including the questions asked and the administrative procedures involved in collecting the census data underwent substantial testing. Coding of the data was subject to quality checks.The quality of the results was improved by the use of edit and imputation procedures for missing or incorrect data, and the data were adjusted for over and under-enumeration.The outputs reflect the complete usually-resident population of Northern Ireland.Methodology overviewFurther information on the methodology used in Census 2021 is available in the:Census 2021 methodology overviewQuality issuesThe census results underwent an extensive quality assurance process, which included checks against administrative data sources and information on particular groups such as students and HM Forces personnel.Edit procedures were applied to obviously incorrect responses (such as someone aged 180) and were designed to correct the mistake by making the least possible change to the data.Imputation procedures were applied to missing data on a returned questionnaire, and drew on responses to the question from people with similar characteristics.Quality assurance reportFurther information on the quality assurance processes used in Census 2021 is available in the:Census 2021 quality assurance reportStatement about data qualityFor more information on data quality, including response rate and item response rate, please refer to the:Census 2021 statement about data qualityGeographic referencingIrish National GridNational Statistics publicationCensus statistics are produced by the Northern Ireland Statistics and Research Agency free from political influence and have been assessed as National Statistics by the Office for Statistics Regulation.Office for Statistics RegulationMore information is available on the following web site:Office for Statistics RegulationProducing census statisticsCensus 2021 statistics meet the highest standards of trust, quality and value and are produced using standards set out in the statutory Code of Practice for Statistics.Code of Practice for StatisticsMore information is available in the:Code of Practice for StatisticsDate of publicationJune 2023Further informationCensus 2021 results webpage

  17. Census of Agriculture, 2008 - American Samoa

    • microdata.fao.org
    Updated Jan 22, 2021
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    National Agricultural Statistics Service (2021). Census of Agriculture, 2008 - American Samoa [Dataset]. https://microdata.fao.org/index.php/catalog/1730
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    Dataset updated
    Jan 22, 2021
    Dataset authored and provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    Time period covered
    2008
    Area covered
    American Samoa
    Description

    Abstract

    For 156 years (1840 - 1996), the U.S. Department of Commerce, Bureau of the Census was responsible for collecting census of agriculture data. The 1997 Appropriations Act contained a provision that transferred the responsibility for the census of agriculture from the Bureau of the Census to the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS). The 2007 Census of Agriculture is the 27th Federal census of agriculture and the third conducted by NASS. The first agriculture census was taken in 1840 as part of the sixth decennial census of population. The agriculture census continued to be taken as part of the decennial census through 1950. A separate middecade census of agriculture was conducted in 1925, 1935, and 1945. From 1954 to 1974, the census was taken for the years ending in 4 and 9. In 1976, Congress authorized the census of agriculture to be taken for 1978 and 1982 to adjust the data reference year so that it coincided with other economic censuses. This adjustment in timing established the agriculture census on a 5-year cycle collecting data for years ending in 2 and 7. Agriculture census data are used to:

    • Evaluate, change, promote, and formulate farm and rural policies and programs that help agricultural producers; • Study historical trends, assess current conditions, and plan for the future; • Formulate market strategies, provide more efficient production and distribution systems, and locate facilities for agricultural communities; • Make energy projections and forecast needs for agricultural producers and their communities; • Develop new and improved methods to increase agricultural production and profitability; • Allocate local and national funds for farm programs, e.g. extension service projects, agricultural research, soil conservation programs, and land-grant colleges and universities; • Plan for operations during drought and emergency outbreaks of diseases or infestations of pests. • Analyze and report on the current state of food, fuel, feed, and fiber production in the United States.

    American Samoa is one of the territories collectively referred as the "US Outlying areas". The 2008 American Samoa Census of Agriculture was conducted by personal interviews of all farm operations on the list of commercial farms, and supplemented by an area sample of the remaining households. The purpose of the area sample was to efficiently accountfor farms not on the commercialfarmlist and provide an accurate measure of the agricultural activity in American Samoa.

    Geographic coverage

    National coverage

    Analysis unit

    Households

    Universe

    The statistical unit for the CA 2008 was the farm, an operating unit defined as any place from which USD 1 000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    i. Methodological modality for conducting the census The classical approach was used in the CA 2008.

    ii. sample design The design of the sample for the 2008 Census of Agriculture made use of materials and information available from the American Samoa Department of Commerce. These included detailed maps of all the islands in the territory, up-to-date map-spotting (location on a map) of all households in the territory, a system of numbering each household to provide it a unique identifier, and identification of householdswhich were on the list of commercial farms. The households that were on the list of commercial farms were excluded from the universe used to select the area sample. A random sample of the remaining households was selected, using the available maps with the household identification information. It was determined that a 20 percent sample would be optimal. A serpentine selection methodology, starting at a point determined by the generation of a random number, was used to select the area sample.

    Mode of data collection

    Face-to-face paper [f2f]

    Research instrument

    One questionnaire was used which collected information on:

    • Land owned
    • Field crops
    • Fruit
    • Root crops
    • Cattle and calves
    • Poultry
    • Aquaculture
    • Expenditure
    • Production expenses
    • Machinery, equipment and buildings
    • Household characteristics

    Cleaning operations

    1. DATA PROCESSING AND ARCHIVING The completed forms were scanned and Optical Mark Recognition (OMR) was used to retrieve categorical responses and to identify the other answer zones in which some type of mark was present. The edit system determined the best value to impute for reported responses that were deemed unreasonable and for required responses that were absent. The complex edit ensured the full internal consistency of the record. After tabulation and review of the aggregates, a comprehensive disclosure review was conducted. Cell suppression was used to protect the cells that were determined to be sensitive to a disclosure of information.

    2. CENSUS DATA QUALITY NASS conducted an extensive program to follow-up all non-response. NASS also used capture-recapture methodology to adjust for under-coverage, non-response, and misclassification. To implement capture-recapture methods, two independent surveys were required --the 2012 Census of Agriculture (based on the Census Mail List) and the 2012 June Agricultural Survey (based on the area frame). Historically, NASS has been careful to maintain the independence of these two surveys.

    Data appraisal

    The complete data series from the 2008 Census of Agriculture is available from the NASS website free of charge in multiple formats, including Quick Stats 2.0 - an online database to retrieve customized tables with Census data at the national, state and county levels. The 2012 Census of Agriculture provides information on a range of topics, including agricultural practices, conservation, organic production, as well as traditional and specialty crops.

  18. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated May 19, 2025
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    (2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA
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    jsonAvailable download formats
    Dataset updated
    May 19, 2025
    License

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

    Description

    Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  19. d

    Whaleboat Escape from Northampton County, Virginia, 1832

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 9, 2023
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    Rosenberg, Alexandra (2023). Whaleboat Escape from Northampton County, Virginia, 1832 [Dataset]. http://doi.org/10.7910/DVN/IZC1PB
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    Dataset updated
    Nov 9, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Rosenberg, Alexandra
    Time period covered
    Jan 1, 1820 - Jan 1, 1838
    Area covered
    Northampton County, Virginia
    Description

    In July 1832, seventeen fugitives from slavery and one free Black man stole a whaleboat and fled Northampton County, Virginia, with the goal of attaining freedom in New York City. The dataset contains the names of the eighteen freedom-seekers who stole the whaleboat, the names of their enslavers, and the locations of properties owned by the enslavers at which the freedom-seekers likely lived and worked. The place-names utilized in the transcribed census records illustrate the importance of water access on the cultural landscape of Virginia Eastern Shore’s and suggest that the freedom-seekers’ decision to run away using a small watercraft was influenced by their familiarity with maritime culture and material culture. This data set highlights a large coordinated water-based escape, sheds light on the names of several free Black residents of Northampton County, and illustrates a kinship network of free and enslaved Black individuals across the lower Delmarva (DE-MD-VA) peninsula. Although fourteen of the eighteen freedom-seekers were re-captured in New York and returned to Virginia, only four were formally tried at an Oyer and Terminer court.

  20. Cornwall Online Census Project, 1841

    • beta.ukdataservice.ac.uk
    Updated 2020
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    M. McCormick (2020). Cornwall Online Census Project, 1841 [Dataset]. http://doi.org/10.5255/ukda-sn-5221-1
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    Dataset updated
    2020
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    M. McCormick
    Description

    The aim of Free Census is to transcribe all the UK 19th century census returns. It is part of Free UKGEN and is a sister project to FreeBMD and Free REG. The intention is that all three of the UK primary sources for the family historian will be online and “free to view.”

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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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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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