79 datasets found
  1. 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.

  2. c

    Census of Population and Housing, 1950: Public Use Microdata Sample

    • archive.ciser.cornell.edu
    Updated Feb 20, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1950: Public Use Microdata Sample [Dataset]. http://doi.org/10.6077/j5/0mbave
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    Dataset updated
    Feb 20, 2020
    Dataset authored and provided by
    Bureau of the Census
    Variables measured
    Household, Individual
    Description

    This data collection contains a stratified 1-percent sample of households, with separate records for each household, each "sample line" respondent, and each person in the household. These records were encoded from microfilm copies of original handwritten enumeration schedules from the 1950 Census of Population. Geographic identification of the location of the sampled households includes Census regions and divisions, states (except Alaska and Hawaii), Standard Metropolitan Areas (SMAs), and State Economic Areas (SEAs). The data collection was constructed from and consists of 20 independently-drawn subsamples stored in 20 discrete physical files. The 1950 Census had both a complete-count and a sample component. Individuals selected for the sample component were asked a set of additional questions. Only households with a sample line person were included in the 1950 Public Use Microdata Sample. The collection also contains records of group quarters members who were also on the Census sample line. Each household record contains variables describing the location and composition of the household. The sample line records contain variables describing demographic characteristics such as nativity, marital status, number of children, veteran status, education, income, and occupation. The person records contain demographic variables such as nativity, marital status, family membership, and occupation. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08251.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  3. d

    Census Tracts in 1950

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 5, 2025
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    DC GIS (2025). Census Tracts in 1950 [Dataset]. https://catalog.data.gov/dataset/census-tracts-in-1950
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    DC GIS
    Description

    Census Year 1950 Census Tracts. The dataset contains polygons representing CY 1950 census tracts, created as part of the D.C. Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Census tracts were identified from maps provided by the U.S. Census Bureau and the D.C. Office of Planning. The tract polygons were created by selecting street arcs from the WGIS planimetric street centerlines. Where necessary, polygons were also heads-up digitized from 1995/1999 orthophotographs.

  4. A

    Census of Population, 1950 [United States]: Public Use Microdata Sample,...

    • abacus.library.ubc.ca
    bin, pdf
    Updated Nov 19, 2009
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    Abacus Data Network (2009). Census of Population, 1950 [United States]: Public Use Microdata Sample, 1950 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml;jsessionid=c3abd59f85c4537d339d4ecf17a0?persistentId=hdl%3A11272.1%2FAB2%2F6SWYBU&version=&q=&fileTypeGroupFacet=%22Document%22&fileAccess=
    Explore at:
    bin(18754640), pdf(6136674)Available download formats
    Dataset updated
    Nov 19, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    United States, United States
    Description

    This data collection and its 1940 counterpart were assembled through a collaborative effort between the United States Bureau of the Census and the Center for Demography and Ecology of the University of Wisconsin. The 1940 and 1950 Census Public Use Sample Project was supported by The National Science Foundation under Grant SES-7704135. The collections contain a stratified 1-percent sample of households, with separate records for each household, for each \'sample line\' respondent, and for each person in the household. These records were encoded from microfilm copies of original handwritten enumeration schedules from the 1940 and 1950 Censuses of Population. The universe for the sample included all persons and households within the United States. Geographic identification of the location of the sampled households includes Census regions and divisions, States (except Alaska and Hawaii), Standard Metropolitan Areas (SMA\'s), and State Economic Areas (SEA\'s). The SMA\'s and SEA\'s are comparable for both the 1940 and 1950 Public Use Microdata Samples (PUMS). The data collections were constructed from and consist of 20 independently-drawn subsamples stored in 20 discrete physical files. Each of the 20 subsamples contains three record types (household, \'sample line\', and person). Both collections had both a complete-count and a sample component. Individuals selected for the sample component were asked a set of additional questions. Only households with a \'sample line\' person were included in the public use microdata sample. The collections also contain records of group quarters members who were also on the Census \'sample line\'. For the 1940 and 1950 collections, each household record contains variables describing the location and composition of the household. The \'sample line\' records for 1950 contain variables describing demographic characteristics such as nativity, marital status, number of children, veteran status, education, income, and occupation. The person records for 1950 contain such demographic variables as nativity, marital status, family membership, and occupation. Accompanying the data collections are code books which include an abstract, descriptions of sample design, processing procedures and file structure, a data dictionary (record layout), category code lists, and a glossary. The data collections are arranged by subsample with each subsample stored as a separate physical file of information. The 20 subsamples were selected randomly. Within each of the 20 subsamples, records are sequenced by State. Extracting all of the records for one State entails reading through all of the 20 physical files and selecting that State\'s records from each of the 20 subsamples. Record types are ordered within household (household characteristics first, \'sample line\' next, and person records last). The 1950 collection consists of a total of 2,844,458 data records: 461,130 household records, 461,130 \'sample line\' records, and 1,922,198 person records. Each record type has a logical record length of 133.;

  5. h

    1950 Population Census of Japan (Full-Scale): Survey Outline, Questionnaire,...

    • d-repo.ier.hit-u.ac.jp
    • jdcat.jsps.go.jp
    application/x-yaml +3
    Updated Aug 16, 2021
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    総理府統計局 (2021). 1950 Population Census of Japan (Full-Scale): Survey Outline, Questionnaire, etc. [Dataset]. https://d-repo.ier.hit-u.ac.jp/records/2002539
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    pdf, text/x-shellscript, application/x-yaml, txtAvailable download formats
    Dataset updated
    Aug 16, 2021
    Authors
    総理府統計局
    Time period covered
    Oct 1, 1950
    Area covered
    Japan, 日本
    Description

    The 7th Population Census, this is the first large-scale census after the war. In order to clarify the state of Japan’s population and households, the population census has been conducted in Japan almost every five years.More details on the "Population Census of Japan" overall including other years can be found here: https://d-infra.ier.hit-u.ac.jp/Japanese/statistical-yb/b001.html.       Implemented under the auspices of the General Headquarters of the Supreme Commander for the Allied Powers. From this census onward, persons are surveyed not on the basis of where they were at the time of the census but their place of usual residence. Moreover, this was a census administered by enumerators.

  6. T

    1950 Census Data for Austin, Texas

    • dataverse.tdl.org
    Updated Sep 30, 2024
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    Amy Shreeve Bridges; Amy Shreeve Bridges (2024). 1950 Census Data for Austin, Texas [Dataset]. http://doi.org/10.18738/T8/VPYKE7
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    text/comma-separated-values(27849109)Available download formats
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Texas Data Repository
    Authors
    Amy Shreeve Bridges; Amy Shreeve Bridges
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Austin, Texas
    Description

    This is the census data collected for Austin, Texas in 1950.

  7. census-bureau-international

    • kaggle.com
    zip
    Updated May 6, 2020
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    Google BigQuery (2020). census-bureau-international [Dataset]. https://www.kaggle.com/bigquery/census-bureau-international
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    zip(0 bytes)Available download formats
    Dataset updated
    May 6, 2020
    Dataset provided by
    BigQueryhttps://cloud.google.com/bigquery
    Googlehttp://google.com/
    Authors
    Google BigQuery
    Description

    Context

    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.

    Querying BigQuery tables

    You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

    Sample Query 1

    What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

    standardSQL

    SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

    Sample Query 2

    Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

    standardSQL

    SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

    Sample Query 3

    The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

    SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

    Update frequency

    Historic (none)

    Dataset source

    United States Census Bureau

    Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

  8. d

    Selected items from the Census of Agriculture at the county level for the...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Selected items from the Census of Agriculture at the county level for the conterminous United States, 1950-2012 [Dataset]. https://catalog.data.gov/dataset/selected-items-from-the-census-of-agriculture-at-the-county-level-for-the-conterminou-1950
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Contiguous United States, United States
    Description

    This metadata report documents tabular data sets consisting of items from the Census of Agriculture. These data are a subset of items from county-level data (including state totals) for the conterminous United States covering the census reporting years (every five years, with adjustments for 1978 and 1982) beginning with the 1950 Census of Agriculture and ending with the 2012 Census of Agriculture. Historical (1950-1997) data were extracted from digital files obtained through the Intra-university Consortium on Political and Social Research (ICPSR). More current (1997-2012) data were extracted from the National Agriculture Statistical Service (NASS) Census Query Tool for the census years of 1997, 2002, 2007, and 2012. Most census reports contain item values from the prior census for comparison. At times these values are updated or reweighted by the reporting agency; the Census Bureau prior to 1997 or NASS from 1997 on. Where available, the updated or reweighted data were used; otherwise, the original reported values were used. Changes in census item definitions and reporting as well as changes to county areas and names over the time span required a degree of manipulation on the data and county codes to make the data as comparable as possible over time. Not all of the census items are present for the entire 1950-2012 time span as certain items have been added since 1950 and when possible the items were derived from other items by subtracting or combining sub items. Specific changes and calculations are documented in the processing steps sections of this report. Other missing data occurs at the state and (or) county level due to census non-disclosure rules where small numbers of farms reporting an item have acres and (or) production values withheld to prevent identification of individual farms. In general, caution should be exercised when comparing current (2012) data with values reported in earlier censuses. While the 1974-2012 data are comparable, data prior to 1974 will have inflated farm counts and slightly inflated production amounts due to the differences in collection methods, primarily, the definition of a farm. Further discussion on comparability can be found the comparability section of the Supplemental Information element of this metadata report. Excluded from the tabular data are the District of Columbia, Menominee County, Wisconsin, and the independent cities of Virginia with the exception of the three county-equivalent cities of Chesapeake City, Suffolk, and Virginia Beach. Data for independent cities of Virginia prior to 1959 have been included with their surrounding or adjacent county. Please refer to the Supplemental Information element for information on terminology, the Census of Agriculture, the Inter-university Consortium for Political and Social Research (ICPSR), table and variable structure, data comparability, all farms and economic class 1-5 farms, item calculations, increase of farms from 1974 to 1978, missing data and exclusion explanations, 1978 crop irregularities, pastureland irregularities, county alignment, definitions, and references. In addition to the metadata is an excel workbook (VariableKey.xlsx) with spreadsheets containing key spreadsheets for items and variables by category and a spreadsheet noting the presence or absence of entire variable data by year. Note: this dataset was updated on 2016-02-10 to populate omitted irrigation values for Miami-Dade County, Florida in 1997.

  9. T

    1950 Census Data Map Shapefile

    • dataverse.tdl.org
    application/dbf +7
    Updated Sep 30, 2024
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    Amy Shreeve Bridges; Amy Shreeve Bridges (2024). 1950 Census Data Map Shapefile [Dataset]. http://doi.org/10.18738/T8/KP8VLU
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    application/sbn(365108), application/sbx(15740), xml(19753), application/shx(289772), application/shp(1013936), bin(5), application/prj(145), application/dbf(411589465)Available download formats
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Texas Data Repository
    Authors
    Amy Shreeve Bridges; Amy Shreeve Bridges
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is the shapefile of the mapped 1950 census data for Austin, Texas.

  10. d

    County Boundaries for Selected Items from the Census of Agriculture,...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). County Boundaries for Selected Items from the Census of Agriculture, 1950-2012 (COA_STCOFIPS) [Dataset]. https://catalog.data.gov/dataset/county-boundaries-for-selected-items-from-the-census-of-agriculture-1950-2012-coa-stcofips
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    This polygon shapefile provides county or county-equivalent boundaries for the conterminous United States and was created specifically for use with the data tables published as Selected Items from the Census of Agriculture for the Conterminous United States, 1950-2012 (LaMotte, 2015). This data layer is a modified version of Historic Counties for the 2000 Census of Population and Housing produced by the National Historical Geographic Information System (NHGIS) project, which is identical to the U.S. Census Bureau TIGER/Line Census 2000 file, with the exception of added shorelines. Excluded from the CAO_STCOFIPS boundary layer are Broomfield County, Colorado, Menominee County, Wisconsin, and the independent cities of Virginia with the exception of the 3 county-equivalent cities of Chesapeake City, Suffolk, and Virginia Beach. The census of agriculture was not taken in the District of Columbia for 1959, but available data indicate few if any farms in that area, the polygon was left in place to preserve the areas of the surrounding counties. Baltimore City, Maryland was combined with Baltimore County and the St. Louis City, Missouri, was combined with St. Louis County. La Paz County, Arizona was combined with Yuma County, Arizona and Cibola County, New Mexico was combined with Valencia County, New Mexico. Minor county border changes were at a level of precision beyond the scope of the data collection. A major objective of the census data tabulation is to maintain a reasonable degree of comparability of agricultural data from census to census. The tabular data collection is from 14 different censuses where definitions and data collection techniques may change over time and while the data are mostly comparable, a degree of caution should be exercised when using the data in analysis procedures. While the data are at a county-level resolution, a regional approach is more appropriate than a county-by-county analysis. The main purpose of this layer is to provide a base to generate a county raster for the allocation of agricultural census values to specific (agricultural) pixels. Vector format is provided so the raster pixel size can be user designated. References cited: LaMotte, A.E., 2015, Selected items from the Census of Agriculture at the county level for the conterminous United States, 1950-2012: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7H13016. National Historical Geographic Information System, Minnesota Population Center, 2004, Historic counties for the 2000 census of population and housing: Minneapolis, MN, University of Minnesota, accessed 03/18/2013 at http://nhgis.org

  11. Number of households in the U.S. 1960-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). Number of households in the U.S. 1960-2023 [Dataset]. https://www.statista.com/statistics/183635/number-of-households-in-the-us/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    How many households are in the U.S.?

    In 2023, there were 131.43 million households in the United States. This is a significant increase from 1960, when there were 52.8 million households in the U.S.

    What counts as a household?

    According to the U.S. Census Bureau, a household is considered to be all persons living within one housing unit. This includes apartments, houses, or single rooms, and consists of both related and unrelated people living together. For example, two roommates who share a living space but are not related would be considered a household in the eyes of the Census. It should be noted that group living quarters, such as college dorms, are not counted as households in the Census.

    Household changes

    While the population of the United States has been increasing, the average size of households in the U.S. has decreased since 1960. In 1960, there was an average of 3.33 people per household, but in 2023, this figure had decreased to 2.51 people per household. Additionally, two person households make up the majority of American households, followed closely by single-person households.

  12. S

    New York City Population by Borough, 1950 - 2040

    • data.ny.gov
    • data.cityofnewyork.us
    • +3more
    application/rdfxml +5
    Updated Apr 29, 2014
    + more versions
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    Department of City Planning (DCP) (2014). New York City Population by Borough, 1950 - 2040 [Dataset]. https://data.ny.gov/widgets/xywu-7bv9
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    json, csv, application/rssxml, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 29, 2014
    Dataset authored and provided by
    Department of City Planning (DCP)
    Area covered
    New York
    Description

    Unadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.

  13. OCCODE files

    • figshare.com
    txt
    Updated May 12, 2021
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    Bjørn-Richard Pedersen (2021). OCCODE files [Dataset]. http://doi.org/10.6084/m9.figshare.14573325.v2
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    txtAvailable download formats
    Dataset updated
    May 12, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Bjørn-Richard Pedersen
    License

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

    Description

    These are the files, results, model and source code for the OCCODE project. They include:The results from running the occupational column from the full county 1950 Norwegian census through the OCCODE pipeline.An overview of the coding system used by Statistics Norway to encode the occupations of the 1950 Norwegian full count census.This overview was created by Statistics Norway, and the original can be found here: https://www.ssb.no/a/folketellinger/The model trained on the Random sample dataset.Previous results from running the occupational column from the full county 1950 Norwegian census through the OCCODE pipeline.Note that these results are worse than the current ones, found in RandomSample_total_confidence_scores.csvThe source code for the OCCODE pipeline as of 2021.05.11

  14. United States International Census

    • kaggle.com
    zip
    Updated Aug 30, 2019
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    US Census Bureau (2019). United States International Census [Dataset]. https://www.kaggle.com/datasets/census/census-bureau-international
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    zip(0 bytes)Available download formats
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Context

    The United States Census Bureau’s International Dataset provides estimates of country populations since 1950 and projections through 2050.

    Content

    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. Specifically, the data set includes midyear population figures broken down by age and gender assignment at birth. Additionally, they provide time-series data for attributes including fertility rates, birth rates, death rates, and migration rates.

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:census_bureau_international

    https://cloud.google.com/bigquery/public-data/international-census

    Dataset Source: www.census.gov

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source -http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Steve Richey from Unsplash.

    Inspiration

    What countries have the longest life expectancy?

    Which countries have the largest proportion of their population under 25?

    Which countries are seeing the largest net migration?

  15. Mexico Population: Census: 45 to 49 Yrs Old

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico Population: Census: 45 to 49 Yrs Old [Dataset]. https://www.ceicdata.com/en/mexico/population-census/population-census-45-to-49-yrs-old
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1950 - Dec 1, 2015
    Area covered
    Mexico
    Variables measured
    Population
    Description

    Mexico Population: Census: 45 to 49 Yrs Old data was reported at 6,814.143 Person th in 2015. This records an increase from the previous number of 5,928.730 Person th for 2010. Mexico Population: Census: 45 to 49 Yrs Old data is updated yearly, averaging 3,612.452 Person th from Dec 1950 (Median) to 2015, with 9 observations. The data reached an all-time high of 6,814.143 Person th in 2015 and a record low of 1,073.549 Person th in 1950. Mexico Population: Census: 45 to 49 Yrs Old data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: Census.

  16. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    U.S. Geological Survey - ScienceBase, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/74b0753b768c4758a976d082ba54da66/html
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  17. c

    Data from: HISCO - OCC1950 CROSSWALK

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    Updated Mar 21, 2025
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    R.J. Mourits (2025). HISCO - OCC1950 CROSSWALK [Dataset]. http://doi.org/10.17026/dans-zap-qxmc
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Radboud University
    Authors
    R.J. Mourits
    Description

    The study of social class and corresponding measurement schemes has evolved separately in Europe and the US. On both continents a standardized occupational coding system exists that can be transferred into a wide scala of measures of socioeconomic status. This dataset contains a crosswalk between the two standardized historical occupational coding schemes: HISCO and Occ1950.

    The Historical International Standardized Classification of Occupations (HISCO) is the European standard for occupational coding and can be used to generate social class schemes, such as HISCLASS, SOCPO, and HISCAM. The U.S. Bureau of the Census' 1950 standard (Occ1950) is the U.S. standard for occupational coding and can be used to generate social class schemes, like NPBOSS, OCCSCORE, PRESGL, and SEI. With the crosswalk, HISCO can be converted to the American class coding schemes and Occ1950 into the European class coding schemes.

    Occupational categories were linked between HISCO and Occ1950 on the underlying occupations. Both HISCO and Occ1950 consist of multiple layers of occupational groups. HISCO is divided in 7 major, 76 minor, 296 unit, and 1,675 micro groups, which roughly correspond with: social classes, sectors, occupational groups, and occupational subgroups. Occ1950 on the other hand is divided in 10 social classes and 269 occupational groups. HISCO’s micro groups and Occ1950’s occupational subgroups are based on a well-documented number of occupations, which can easily be compared and matched between both occupational coding schemes.

    In the translation from HISCO to Occ1950 1,675 occupational categories were collapsed into 229 Occ1950 unique occupational groups. Although 40 occupational groups in Occ1950 could not be retrieved from HISCO, all occupations were successfully attributed to the right social class. Vice versa, 269 occupational groups in Occ1950 were recoded into 227 HISCO micro groups. Together these 227 unique codes are well-spread over the different branches of the HISCO tree, as they cover most of the unit groups.

    #Please note that this is not the crosswalk from Occ1950 to the intermediate HISCO used by the NAPP project, also known as OCCHISCO or NAPPHISCO. This crosswalk can be retrieved from: https://github.com/rlzijdeman/o-clack/tree/master/crosswalks/occhisco_to_hisco

    #HISCO is the European standard for occupational coding and can be used to generate HISCLASS, SOCPO and HISCAM classifications. The necessary conversion table has been made available by Mandemakers et al. and is available on: https://socialhistory.org/en/hsn/hsn-standardized-hisco-coded-and-classified-occupational-titles-release-201301?language=en

    #Occ1950 is the US standard for occupational coding. The occupational coding system is based on the US Census of 1950 and can be transferred into OCCSCORE, PRESGL, SEI, and Nam-Powers-Boyd. Crosswalks are available on request: https://usa.ipums.org/usa/vols_4_5_index.shtml

  18. Venezuela Population: Census: Age 85-89

    • ceicdata.com
    Updated Mar 15, 2019
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    CEICdata.com (2019). Venezuela Population: Census: Age 85-89 [Dataset]. https://www.ceicdata.com/en/venezuela/population/population-census-age-8589
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    Dataset updated
    Mar 15, 2019
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1950 - Dec 1, 2011
    Area covered
    Venezuela
    Variables measured
    Population
    Description

    Venezuela Population: Census: Age 85-89 data was reported at 104,141.000 Person in 2011. This records an increase from the previous number of 11,873.000 Person for 1950. Venezuela Population: Census: Age 85-89 data is updated yearly, averaging 58,007.000 Person from Dec 1950 (Median) to 2011, with 2 observations. The data reached an all-time high of 104,141.000 Person in 2011 and a record low of 11,873.000 Person in 1950. Venezuela Population: Census: Age 85-89 data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Venezuela – Table VE.G001: Population.

  19. B

    Brazil US Census Projection: Population: Mid Year

    • ceicdata.com
    Updated Apr 25, 2018
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    CEICdata.com (2018). Brazil US Census Projection: Population: Mid Year [Dataset]. https://www.ceicdata.com/en/brazil/population-projection-us-census-bureau
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    Dataset updated
    Apr 25, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2089 - Jun 1, 2100
    Area covered
    Brazil
    Variables measured
    Population
    Description

    US Census Projection: Population: Mid Year data was reported at 204,461,198.000 Person in 2100. This records a decrease from the previous number of 205,458,306.000 Person for 2099. US Census Projection: Population: Mid Year data is updated yearly, averaging 211,450,473.000 Person from Jun 1950 (Median) to 2100, with 151 observations. The data reached an all-time high of 238,504,547.000 Person in 2052 and a record low of 53,443,075.000 Person in 1950. US Census Projection: Population: Mid Year data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s Brazil – Table BR.GAB038: Population: Projection: US Census Bureau.

  20. U.S. seniors as a percentage of the total population 1950-2050

    • statista.com
    • ai-chatbox.pro
    Updated Apr 19, 2023
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    Statista (2023). U.S. seniors as a percentage of the total population 1950-2050 [Dataset]. https://www.statista.com/statistics/457822/share-of-old-age-population-in-the-total-us-population/
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    Dataset updated
    Apr 19, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

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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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1950 Census Population Schedules, Enumeration District Maps, and Enumeration District Descriptions

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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.

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