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. 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
  3. 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.

  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. 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. 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.

  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

    Households

    • redivis.com
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). Households [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 households from the 1940 US census.

  9. 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
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    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.

  10. 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
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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).

  11. 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
    Wales, England
    Description

    Official statistics are produced impartially and free from political influence.

  12. o

    Nigeria Census Data - Dataset - openAFRICA

    • open.africa
    Updated Dec 4, 2017
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    (2017). Nigeria Census Data - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/nigeria-census-data
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    Dataset updated
    Dec 4, 2017
    License

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

    Area covered
    Nigeria
    Description

    This dataset shows census data for Nigeria from government data sources and the World Bank data portal.

  13. TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code...

    • catalog.data.gov
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-nation-u-s-2020-census-5-digit-zip-code-tabulation-area-zcta5
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

  14. 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.

  15. Geography Lookup Table

    • s.cnmilf.com
    • opendata.fcc.gov
    • +1more
    Updated Jan 1, 2024
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    opendata.fcc.gov (2024). Geography Lookup Table [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/geography-lookup-table
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    Dataset updated
    Jan 1, 2024
    Dataset provided by
    Federal Communications Commissionhttp://fcc.gov/
    Description

    Summary data of fixed broadband coverage by geographic area. License and Attribution: Broadband data from FCC Form 477, and data from the U.S. Census Bureau that are presented on this site are offered free and not subject to copyright restriction. Data and content created by government employees within the scope of their employment are not subject to domestic copyright protection under 17 U.S.C. § 105. See, e.g., U.S. Government Works. While not required, when using content, data, documentation, code and related materials from fcc.gov or broadbandmap.fcc.gov in your own work, we ask that proper credit be given. Examples include: • Source data: FCC Form 477 • Map layer based on FCC Form 477 • Code data based on broadbandmap.fcc.gov The geography look ups are created from the US census shapefiles, which are in Global Coordinate System North American Datum of 1983 (GCS NAD83). The coordinates do not get reprojected during processing. The "centroid_lng", "centroid_lat" columns in the lookup table are the exact values from the US census shapefile (INTPTLON, INTPTLAT). The "bbox_arr" column is calculated from the bounding box/extent of the original geometry in the shapefile; no reprojection or transformations are done to the geometry.

  16. 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/fdpr-cd26cbc9y
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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 1940 datasets.

  17. Colorado Census Tract Boundaries

    • data-cdphe.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Apr 1, 2016
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    Colorado Department of Public Health and Environment (2016). Colorado Census Tract Boundaries [Dataset]. https://data-cdphe.opendata.arcgis.com/datasets/colorado-census-tract-boundaries
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    Dataset updated
    Apr 1, 2016
    Dataset authored and provided by
    Colorado Department of Public Health and Environmenthttps://cdphe.colorado.gov/
    Area covered
    Description

    Census tracts are small, relatively permanent geographic entities within counties (or the statistical equivalents of counties) delineated by a committee of local data users. Generally, census tracts have between 2,500 and 8,000 residents and boundaries that follow visible features. When first established, census tracts are to be as homogeneous as possible with respect to population characteristics, economic status, and living conditions. (www.census.gov)

  18. d

    IPUMS-International: Indonesia 1980 Census

    • search.dataone.org
    Updated Dec 16, 2014
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    Minnesota Population Center (2014). IPUMS-International: Indonesia 1980 Census [Dataset]. https://search.dataone.org/view/ipumsi_6.3_id_1980_DC.xml
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    Dataset updated
    Dec 16, 2014
    Dataset provided by
    Minnesota Population Center (MPC)
    Authors
    Minnesota Population Center
    Time period covered
    Jan 1, 1980
    Area covered
    Description

    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 facilitate 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. Detailed metadata will be found in ipumsi_6.3_id_1980_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.

  19. i

    Population and Housing Census 2008 - Sudan

    • webapps.ilo.org
    Updated Mar 24, 2017
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    Southern Sudan Commission for Statistics and Evaluation (2017). Population and Housing Census 2008 - Sudan [Dataset]. https://webapps.ilo.org/surveyLib/index.php/catalog/1360
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    Dataset updated
    Mar 24, 2017
    Dataset provided by
    Southern Sudan Commission for Statistics and Evaluation
    Central Bureau of Statistics
    Time period covered
    2008
    Area covered
    Sudan
    Description

    Abstract

    The 2008 Sudan Population and Housing Census is the 5th Sudan Population and Housing Census conducted, and one of the most important censuses in the history of Sudan. It is based on the comprehensive peace agreement. It provides hope for Sudanese people to build a new Sudan, with a fair share in power, resources, services and development. To achieve these goals a population census with a high accuracy and a full coverage is a necessity.

    Integrated Public Use Microdata Series (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

    Analysis unit

    • Households;
    • Individual.

    Universe

    The de facto method is applied for the enumeration of the population.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    The sample size (person records) is equal to 5'066'530.

    Sampling deviation

    Long form questionnaire for sedentary households (selected enumeration areas) and a sample of nomad households.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    As mentioned above the census data is to be collected in two forms. A short form to be used for 90% of EAs with a minimum number of questions ( 11 questions ) and to satisfy the basic population data needed for the election and other basic demographic needs. A long form to be administered in10% of the enumeration areas (EAS) and will provide all other standard social and economic information. The details of these questionnaires are following closely the UN principles and recommendations for censuses as decided by the TWG. That had put sometimes the TWG in conflicts with the governing councils and politicians at the national and regional levels. For e.g. the MOC had requested the deletion of the questions on ethnicity after its endorsement by the PCC in its second meeting. The PCC decided to raise it to the Presidency as the TWG had reconfirmed its technical importance. Based on the understanding that ethnicity and religion are causes of conflicts in Sudan, the Presidency decided to delete these questions. It was suggested as a compromise to use the question on previous residence to give information about Southern people living in the North. The South Sudan Population Census Council (SSPCC) requested an amplification of the question to reflect household origin from the nine 1956 Provinces (Northern, Khartoum, Central, Eastern, Kordofan, Darfur, Upper Nile, Bahr Elghazal and Equatoria) in stead of (north/south). But that was not accepted by many members of the PCC and some politicians in the north who believe that it is another way of bringing back the ethnicity question. The SSPCC then insisted on the re-inclusion of the ethnicity and religion questions. That led to a lot of delays in printing the questionnaires. In order to get out of this dilemma the TWG with support of UNFPA had decided to stick firmly to the UN standards. That is to stick to the previous residence question (origin) which is core one and to neglect the ethnicity question which is an optional one.

    Cleaning operations

    For census data entry the Technical Working Group (TWG) decided with endorsement of the PCC that the data entry was to be decentralized. Nine centers were suggested. These are the capitals of old British provinces. The TWG also decided that the short and long forms to be scanned using optical mark recognition (OMR) technology. That decision was based on the field visits to some African countries which used the same technology in their censuses. For quality assurance a high level team from both CBS and SSCCSE were sent to DRS Company in UK to ensure that the forms were correctly printed in both Arabic and English so as to avoid occurrence of any errors or faults during enumeration and the scanning process. It was decided that the census data was to be processed, the results produced and the tabulation prepared centrally. The national and regional tabulation to be analyzed and published using different data dissemination methods such as:-printed reports, electronic media (websites, Emails), data archiving, seminars and workshops. The use of internet as another tool for data dissemination was also suggested.

  20. d

    IPUMS-International: Pakistan 1998 Census

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    Updated Dec 16, 2014
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    Minnesota Population Center (2014). IPUMS-International: Pakistan 1998 Census [Dataset]. https://search.dataone.org/view/ipumsi_6.3_pk_1998_DC.xml
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    Dataset updated
    Dec 16, 2014
    Dataset provided by
    Minnesota Population Center (MPC)
    Authors
    Minnesota Population Center
    Time period covered
    Jan 1, 1998
    Area covered
    Description

    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 facilitate 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. Detailed metadata will be found in ipumsi_6.3_pk_1998_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.

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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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