60 datasets found
  1. w

    United States - Census of Population and Housing 1970 - IPUMS Subset -...

    • wbwaterdata.org
    Updated Mar 16, 2020
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    (2020). United States - Census of Population and Housing 1970 - IPUMS Subset - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/united-states-census-population-and-housing-1970-ipums-subset
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    Dataset updated
    Mar 16, 2020
    License

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

    Area covered
    United States
    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 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.

  2. d

    1970's Land use data refined with 1990 population data to indicate new...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Sep 18, 2024
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    U.S. Geological Survey (2024). 1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States [Dataset]. https://catalog.data.gov/dataset/1970s-land-use-data-refined-with-1990-population-data-to-indicate-new-residential-developm
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    Dataset updated
    Sep 18, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    This data set represents U.S. Geological Survey (USGS) historical Land Use and Land Cover (LULC) from the 1970's that has been refined with 1990 population density at the block group level to indicate new residential development representative of the 1990's. Any area having a population density of at least 1,000 people per square mile had been re-classified as "urban" land in this data set.

  3. c

    Census of Population and Housing, 1970: Extract Data

    • archive.ciser.cornell.edu
    Updated Jan 30, 2020
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    Terry Adams (2020). Census of Population and Housing, 1970: Extract Data [Dataset]. http://doi.org/10.6077/j5/yj3hl9
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    Dataset updated
    Jan 30, 2020
    Authors
    Terry Adams
    Variables measured
    GeographicUnit
    Description

    This extraction of data from 1970 decennial Census files (CENSUS OF POPULATION AND HOUSING, 1970 UNITED STATES: SUMMARY TAPE FILES 4A, 4B, 4C (ICPSR 9014, 8127, 8107) and STF 5A, 5B, and 5C) was designed to provide a set of contextual variables to be matched to any survey dataset that has been coded for the geographic location of respondents, such as the PANEL STUDY OF INCOME DYNAMICS, 1968-1988 (ICPSR 7439). This geographic area data can also be analyzed independently with neighborhoods, labor market areas, etc., as the units of analysis. Over 120 variables were selected from the original Census sources, and more than 100 variables were derived from those component variables. The variables characterize geographic areas in terms of population counts, ethnicity, family structure, income and poverty, education, residential mobility, labor force activity, and housing. The geographic areas range from neighborhoods, through intermediate levels of geography, through large economic areas, and beyond to large regions. These variables were selected from the Census data for their relevance to problems associated with poverty and income determination, and 80 percent were present in comparable form in both the 1970 and 1980 Census datasets. (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/ICPSR09694.v3. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

  4. US County & Zipcode Historical Demographics

    • kaggle.com
    Updated Jun 23, 2021
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    BitRook (2021). US County & Zipcode Historical Demographics [Dataset]. https://www.kaggle.com/datasets/bitrook/us-county-historical-demographics
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2021
    Dataset provided by
    Kaggle
    Authors
    BitRook
    License

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

    Area covered
    United States
    Description

    US County & Zipcode Historical Demographics

    Easily lookup US historical demographics by county FIPS or zipcode in seconds with this file containing over 5,901 different columns including:

    *Lat/Long *Boundaries *State FIPS *Population from 2010-2019 *Death Rate from 2010-2019 *Unemployment from 2001-2020 *Education from 1970-2019 *Gender and Age Population

    Provided by bitrook.com to help Data Scientists clean data faster.

    Data Sources

    All Data Combined Source:

    https://www.ers.usda.gov/data-products/county-level-data-sets/download-data/

    Population Source:

    https://www.ers.usda.gov/data-products/county-level-data-sets/download-data/

    Unemployment Source:

    https://www.ers.usda.gov/data-products/county-level-data-sets/download-data/

    Zip FIPS Crosswalk Source:

    https://data.world/niccolley/us-zipcode-to-county-state

    County Boundaries Source:

    https://public.opendatasoft.com/explore/dataset/us-county-boundaries/table/?disjunctive.statefp&disjunctive.countyfp&disjunctive.name&disjunctive.namelsad&disjunctive.stusab&disjunctive.state_name

    Age Sex Source:

    https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/asrh/cc-est2019-agesex-**.csv https://www2.census.gov/programs-surveys/popest/technical-documentation/file-layouts/2010-2019/cc-est2019-agesex.pdf

    Races Source:

    https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/asrh/cc-est2019-alldata.csv https://www2.census.gov/programs-surveys/popest/technical-documentation/file-layouts/2010-2019/cc-est2019-alldata.pdf

  5. Census of Population and Housing, 1970: Public Use Sample, 5% States, 1 in...

    • archive.ciser.cornell.edu
    Updated Jan 7, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1970: Public Use Sample, 5% States, 1 in 100 [Dataset]. http://doi.org/10.6077/j5/jhl5n2
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    Dataset updated
    Jan 7, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census
    Variables measured
    GeographicUnit, Household, Individual
    Description

    This data collection contains 132 Public Use Microdata Samples (PUMS) files from the 1970 Census of Population and Housing. Information is provided in these files on the housing unit, such as occupancy and vacancy status of house, tenure, value of property, commercial use, year structure was built, number of rooms, availability of plumbing facilities, sewage disposal, bathtub or shower, complete kitchen facilities, flush toilet, water, telephone, and air conditioning. Data are also provided on household characteristics such as the number of persons aged 18 years and younger in the household, the presence of roomers, boarders, or lodgers, the presence of other nonrelative and of relative other than wife or child of head of household, the number of persons per room, the rent paid for unit, and the number of persons with Spanish surnames. Other demographic variables provide information on age, race, marital status, place of birth, state of birth, Puerto Rican heritage, citizenship, education, occupation, employment status, size of family, farm earnings, and family income. This hierarchical data collection contains approximately 214 variables for the 15-percent sample, 227 variables for the 5-percent sample, and 117 variables for the neighborhood characteristics sample. (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/ICPSR00018.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  6. A

    Census Tracts 1970

    • data.amerigeoss.org
    • data-seattlecitygis.opendata.arcgis.com
    Updated Jul 26, 2019
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    United States[old] (2019). Census Tracts 1970 [Dataset]. https://data.amerigeoss.org/hu/dataset/1970-us-census-tracts
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    html, zip, csv, application/vnd.geo+json, json, kmlAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    Description

    Census Tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity that are updated by local participants prior to each decennial census as part of the Census Bureau's Participant Statistical Areas Program. The Census Bureau delineates census tracts in situations where no local participant existed or where state, local, or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of statistical data.

    Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.

  7. Census of Population and Housing [United States], 1960 Public Use Sample:...

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
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    United States. Bureau of the Census (1992). Census of Population and Housing [United States], 1960 Public Use Sample: Modified 1/1000 State Samples [Dataset]. http://doi.org/10.3886/ICPSR07924.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7924/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7924/terms

    Time period covered
    1980
    Area covered
    United States
    Description

    This collection consists of modified records from CENSUS OF POPULATION AND HOUSING, 1960 PUBLIC USE SAMPLE [UNITED STATES]: ONE-IN-ONE HUNDRED SAMPE (ICPSR 7756). The original records consisted of 120-character household records and 120-character person records, whereas the new modified records are rectangular (each person record is combined with the corresponding household record) with a length of 188, after the deletion of some items. Additional information was added to the data records including typical educational requirement for current occupation, occupational prestige score, and group identification code. This version differs from the original public-use sample in the following ways: ages of persons 15-74 are included, 10 percent of the Black population from each file is included, and Mexican Americans (identified by a Spanish surname) from outside Arizona, California, Colorado, New Mexico, and Texas are not included. This dataset uses the 1970 equivalent occupational codes. The Census Bureau originally used two separate codes for the 1970 and 1960 files, but these have been modified and are now identical.

  8. g

    Census of Population and Housing, 1970 [United States]: Persons in...

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
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    United States Department of Commerce. Bureau of the Census (2015). Census of Population and Housing, 1970 [United States]: Persons in Institutions and Other Group Quarters By Age, Sex, Race, and Spanish Origin [Dataset]. http://doi.org/10.3886/ICPSR08342.v1
    Explore at:
    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Commerce. Bureau of the Census
    Area covered
    United States
    Description

    This summary statistics data file contains a complete or 100-percent count of all persons in group quarters by sex and age, including ages under 1 to 74 with a category for ages 75 and over, as well as the total. The distribution is repeated for 18 race/Hispanic groups. Population in group quarters includes persons in institutional group quarters such as homes, schools, hospitals, or wards for the physically and mentally handicapped, hospitals or wards for mental, tubercular, or chronically ill patients, homes for unwed mothers, nursing, convalescent, and rest homes for the aged and dependent, orphanages, and correctional institutions. Noninstitutional group quarters include rooming and boarding houses, general hospitals, including nurses' and interns' dormitories, college students' dormitories, religious group quarters, and similar housing. Demographic items specify age, sex, state of birth, race, ethnicity, marital status, education, income, and type of group quarters lived in. Data are available for all counties and independent cities in the United States.

  9. T

    Vital Signs: Population – by region shares (updated)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Apr 13, 2020
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    California Department of Finance (2020). Vital Signs: Population – by region shares (updated) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Population-by-region-shares-updated-/7m6i-as8d
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    application/rssxml, csv, json, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Apr 13, 2020
    Dataset authored and provided by
    California Department of Finance
    Description

    VITAL SIGNS INDICATOR Population (LU1)

    FULL MEASURE NAME Population estimates

    LAST UPDATED October 2019

    DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

    DATA SOURCES U.S Census Bureau: Decennial Census No link available (1960-1990) http://factfinder.census.gov (2000-2010)

    California Department of Finance: Population and Housing Estimates Table E-6: County Population Estimates (1961-1969) Table E-4: Population Estimates for Counties and State (1971-1989) Table E-8: Historical Population and Housing Estimates (2001-2018) Table E-5: Population and Housing Estimates (2011-2019) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

    U.S. Census Bureau: Decennial Census - via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University Population Estimates (1970 - 2010) http://www.s4.brown.edu/us2010/index.htm

    U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2011-2017) http://factfinder.census.gov

    U.S. Census Bureau: Intercensal Estimates Estimates of the Intercensal Population of Counties (1970-1979) Intercensal Estimates of the Resident Population (1980-1989) Population Estimates (1990-1999) Annual Estimates of the Population (2000-2009) Annual Estimates of the Population (2010-2017) No link available (1970-1989) http://www.census.gov/popest/data/metro/totals/1990s/tables/MA-99-03b.txt http://www.census.gov/popest/data/historical/2000s/vintage_2009/metro.html https://www.census.gov/data/datasets/time-series/demo/popest/2010s-total-metro-and-micro-statistical-areas.html

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, and tract) are as of January 1, 2010, released beginning November 30, 2010, by the U.S. Census Bureau. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of August 2019. For more information on PDA designation see http://gis.abag.ca.gov/website/PDAShowcase/.

    Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

    Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Population estimates for PDAs are derived from Census population counts at the tract level for 1970-1990 and at the block group level for 2000-2017. Population from either tracts or block groups are allocated to a PDA using an area ratio. For example, if a quarter of a Census block group lies with in a PDA, a quarter of its population will be allocated to that PDA. Tract-to-PDA and block group-to-PDA area ratios are calculated using gross acres. Estimates of population density for PDAs use gross acres as the denominator.

    Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark.

    The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville Unincorporated: all unincorporated towns

  10. World Population Data

    • kaggle.com
    Updated Jan 1, 2024
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    Sazidul Islam (2024). World Population Data [Dataset]. https://www.kaggle.com/datasets/sazidthe1/world-population-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sazidul Islam
    License

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

    Area covered
    World
    Description

    Context

    The world's population has undergone remarkable growth, exceeding 7.5 billion by mid-2019 and continuing to surge beyond previous estimates. Notably, China and India stand as the two most populous countries, with China's population potentially facing a decline while India's trajectory hints at surpassing it by 2030. This significant demographic shift is just one facet of a global landscape where countries like the United States, Indonesia, Brazil, Nigeria, and others, each with populations surpassing 100 million, play pivotal roles.

    The steady decrease in growth rates, though, is reshaping projections. While the world's population is expected to exceed 8 billion by 2030, growth will notably decelerate compared to previous decades. Specific countries like India, Nigeria, and several African nations will notably contribute to this growth, potentially doubling their populations before rates plateau.

    Content

    This dataset provides comprehensive historical population data for countries and territories globally, offering insights into various parameters such as area size, continent, population growth rates, rankings, and world population percentages. Spanning from 1970 to 2023, it includes population figures for different years, enabling a detailed examination of demographic trends and changes over time.

    Dataset

    Structured with meticulous detail, this dataset offers a wide array of information in a format conducive to analysis and exploration. Featuring parameters like population by year, country rankings, geographical details, and growth rates, it serves as a valuable resource for researchers, policymakers, and analysts. Additionally, the inclusion of growth rates and world population percentages provides a nuanced understanding of how countries contribute to global demographic shifts.

    This dataset is invaluable for those interested in understanding historical population trends, predicting future demographic patterns, and conducting in-depth analyses to inform policies across various sectors such as economics, urban planning, public health, and more.

    Structure

    This dataset (world_population_data.csv) covering from 1970 up to 2023 includes the following columns:

    Column NameDescription
    RankRank by Population
    CCA33 Digit Country/Territories Code
    CountryName of the Country
    ContinentName of the Continent
    2023 PopulationPopulation of the Country in the year 2023
    2022 PopulationPopulation of the Country in the year 2022
    2020 PopulationPopulation of the Country in the year 2020
    2015 PopulationPopulation of the Country in the year 2015
    2010 PopulationPopulation of the Country in the year 2010
    2000 PopulationPopulation of the Country in the year 2000
    1990 PopulationPopulation of the Country in the year 1990
    1980 PopulationPopulation of the Country in the year 1980
    1970 PopulationPopulation of the Country in the year 1970
    Area (km²)Area size of the Country/Territories in square kilometer
    Density (km²)Population Density per square kilometer
    Growth RatePopulation Growth Rate by Country
    World Population PercentageThe population percentage by each Country

    Acknowledgment

    The primary dataset was retrieved from the World Population Review. I sincerely thank the team for providing the core data used in this dataset.

    © Image credit: Freepik

  11. Data from: National Jail Census, 1970

    • catalog.data.gov
    • icpsr.umich.edu
    • +2more
    Updated Aug 18, 2021
    + more versions
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    Bureau of Justice Statistics (2021). National Jail Census, 1970 [Dataset]. https://catalog.data.gov/dataset/national-jail-census-1970
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    Dataset updated
    Aug 18, 2021
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Description

    This census provides information on county and municipal jails facilities in the United States and their administration. For all jails, the data include number of prisoners and their reason for being held, age and sex of prisoners, maximum sentence that could be served in the facility, facility capacity and age, types of security available, and operating expenditures. For jails in counties and municipalities with populations of 25,000 or more, data are supplied on quarterly jail population, age of cells, and availability of service facilities and programs for inmates.

  12. CDC WONDER: Population (from Census)

    • catalog.data.gov
    Updated Jul 26, 2023
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). CDC WONDER: Population (from Census) [Dataset]. https://catalog.data.gov/dataset/cdc-wonder-population-from-census-53f75
    Explore at:
    Dataset updated
    Jul 26, 2023
    Description

    The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for years 1970 - 2000. The data comprise the April 1st Census counts for years 1970, 1980, 1990 and 2000, the July 1st intercensal estimates for years 1971-1979 and 1981-1989, and the July 1st postcensal estimates for years 1991-1999. The Census Projections online database contains population projections for years 2004-2030 by year, state, age, race and sex, prodyced by teh Cenus Bureau in 2005. The data are produced by the United States Department of Commerce, U.S. Census Bureau, Population Division.

  13. T

    Vital Signs: Population – by metro (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jun 2, 2022
    + more versions
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    (2022). Vital Signs: Population – by metro (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Population-by-metro-2022-/gbn2-y2wk
    Explore at:
    json, csv, xml, application/rssxml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jun 2, 2022
    Description

    VITAL SIGNS INDICATOR Population (LU1)

    FULL MEASURE NAME
    Population estimates

    LAST UPDATED
    February 2023

    DESCRIPTION
    Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

    DATA SOURCE
    California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/
    Table E-6: County Population Estimates (1960-1970)
    Table E-4: Population Estimates for Counties and State (1970-2021)
    Table E-8: Historical Population and Housing Estimates (1990-2010)
    Table E-5: Population and Housing Estimates (2010-2021)

    Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs
    Computed using 2020 US Census TIGER boundaries

    U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University
    1970-2020

    U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/
    2011-2021
    Form B01003

    Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022.

    Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

    Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs).

    The following is a list of cities and towns by geographical area:

    Big Three: San Jose, San Francisco, Oakland

    Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside

    Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville

    Unincorporated: all unincorporated towns

  14. d

    Data from: Crime in Boomburb Cities: 1970-2004 [United States]

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Crime in Boomburb Cities: 1970-2004 [United States] [Dataset]. https://catalog.data.gov/dataset/crime-in-boomburb-cities-1970-2004-united-states-15018
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justice
    Area covered
    United States
    Description

    This study focused on the effect of economic resources and racial/ethnic composition on the change in crime rates from 1970-2004 in United States cities in metropolitan areas that experienced a large growth in population after World War II. A total of 352 cities in the following United States metropolitan areas were selected for this study: Atlanta, Dallas, Denver, Houston, Las Vegas, Miami, Orange County, Orlando, Phoenix, Riverside, San Bernardino, San Diego, Silicon Valley (Santa Clara), and Tampa/St. Petersburg. Selection was based on the fact that these areas developed during a similar time period and followed comparable development trajectories. In particular, these 14 areas, known as the "boomburbs" for their dramatic, post-World War II population growth, all faced issues relating to the rapid growth of tract-style housing and the subsequent development of low density, urban sprawls. The study combined place-level data obtained from the United States Census with crime data from the Uniform Crime Reports for five categories of Type I crimes: aggravated assaults, robberies, murders, burglaries, and motor vehicle thefts. The dataset contains a total of 247 variables pertaining to crime, economic resources, and race/ethnic composition.

  15. U

    Census of population and housing, 1970 population summary statistic file 6

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    pdf, txt
    Updated Nov 30, 2007
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    United States; United States (2007). Census of population and housing, 1970 population summary statistic file 6 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/C-45
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    txt(41454105), pdf(7997716), pdf(22581458), pdf(5273156), txt(52151837)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    Authors
    United States; United States
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/C-45https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/C-45

    Area covered
    Population, SMSAs, States, Central City(SMSA), Counties
    Description

    This file contains tables with a detailed breakdown on items such as occupation, industry, income, sex, race, education, mother tongue, nativity, parentage, and veterans' status.Summaries are given for States, SMSA's, metropolitan counties, central cities with 50,000 or more inhabitants.Data contained in the files pertain to the date of the census, April 1, 1970, except for selected items which relate to historical periods.

  16. Census of Population and Housing, 1970: Public Use Sample, 5% States, 1 in...

    • archive.ciser.cornell.edu
    Updated Jan 7, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1970: Public Use Sample, 5% States, 1 in 10,000 [Dataset]. http://doi.org/10.6077/j5/gwipw7
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    Dataset updated
    Jan 7, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census
    Variables measured
    GeographicUnit, Household, Individual
    Description

    This data collection contains 132 Public Use Microdata Samples (PUMS) files from the 1970 Census of Population and Housing. Information is provided in these files on the housing unit, such as occupancy and vacancy status of house, tenure, value of property, commercial use, year structure was built, number of rooms, availability of plumbing facilities, sewage disposal, bathtub or shower, complete kitchen facilities, flush toilet, water, telephone, and air conditioning. Data are also provided on household characteristics such as the number of persons aged 18 years and younger in the household, the presence of roomers, boarders, or lodgers, the presence of other nonrelative and of relative other than wife or child of head of household, the number of persons per room, the rent paid for unit, and the number of persons with Spanish surnames. Other demographic variables provide information on age, race, marital status, place of birth, state of birth, Puerto Rican heritage, citizenship, education, occupation, employment status, size of family, farm earnings, and family income. This hierarchical data collection contains approximately 214 variables for the 15-percent sample, 227 variables for the 5-percent sample, and 117 variables for the neighborhood characteristics sample. (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/ICPSR00018.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  17. d

    Woods & Poole Complete US Database

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Mar 6, 2024
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    Woods & Poole (2024). Woods & Poole Complete US Database [Dataset]. http://doi.org/10.7910/DVN/ZCPMU6
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    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Woods & Poole
    Time period covered
    Jan 1, 1970 - Jan 1, 2050
    Description

    The 2018 edition of Woods and Poole Complete U.S. Database provides annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The Complete U.S. Database contains annual data for all economic and demographic variables for all geographic areas in the Woods & Poole database (the U.S. total, and all regions, states, counties, and CBSAs). The Complete U.S. Database has following components: Demographic & Economic Desktop Data Files: There are 122 files covering demographic and economic data. The first 31 files (WP001.csv – WP031.csv) cover demographic data. The remaining files (WP032.csv – WP122.csv) cover economic data. Demographic DDFs: Provide population data for the U.S., regions, states, Combined Statistical Areas (CSAs), Metropolitan Statistical Areas (MSAs), Micropolitan Statistical Areas (MICROs), Metropolitan Divisions (MDIVs), and counties. Each variable is in a separate .csv file. Variables: Total Population Population Age (breakdown: 0-4, 5-9, 10-15 etc. all the way to 85 & over) Median Age of Population White Population Population Native American Population Asian & Pacific Islander Population Hispanic Population, any Race Total Population Age (breakdown: 0-17, 15-17, 18-24, 65 & over) Male Population Female Population Economic DDFs: The other files (WP032.csv – WP122.csv) provide employment and income data on: Total Employment (by industry) Total Earnings of Employees (by industry) Total Personal Income (by source) Household income (by brackets) Total Retail & Food Services Sales ( by industry) Net Earnings Gross Regional Product Retail Sales per Household Economic & Demographic Flat File: A single file for total number of people by single year of age (from 0 to 85 and over), race, and gender. It covers all U.S., regions, states, CSAs, MSAs and counties. Years of coverage: 1990 - 2050 Single Year of Age by Race and Gender: Separate files for number of people by single year of age (from 0 years to 85 years and over), race (White, Black, Native American, Asian American & Pacific Islander and Hispanic) and gender. Years of coverage: 1990 through 2050. DATA AVAILABLE FOR 1970-2019; FORECASTS THROUGH 2050

  18. g

    Census of population and housing, 1970 population summary statistic file 4

    • datasearch.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated Jan 22, 2020
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    Data Use and Access Laboratories (DUALabs); United States; Data Use and Access Laboratories (DUALabs), Arlington, Va. (2020). Census of population and housing, 1970 population summary statistic file 4 [Dataset]. https://datasearch.gesis.org/dataset/httpsdataverse.unc.eduoai--hdl1902.29C-41
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    Dataset updated
    Jan 22, 2020
    Dataset provided by
    Odum Institute Dataverse Network
    Authors
    Data Use and Access Laboratories (DUALabs); United States; Data Use and Access Laboratories (DUALabs), Arlington, Va.
    Description

    This fourth count population file contains identical information for 3 different levels of geography. The data cross-tabulated on the various tables on the file include occupation, industry, income and income components, years of school completed, family type, number of children, poverty status, nativity and parentage. Aggregate income figures for various categories are included for use on calculating means. Each table is presented for the urban population, rural-farm population, and rural-no nfarm population.

    The geographic coverage differs in all three files. In File A, summary statistics are presented for all census tracts. File B presents summary statistics for minor civil divisions or census county divisions. File C presents summaries for 20 levels of geography including States and state components, counties, places of 2,500 or greater, urbanized areas, SMSA's and the component parts of SMSAs.

    Data contained in the files pertain to the date of the census, April 1, 19 70, except for selected items which relate to historical periods

  19. Complete U.S. Database 2017

    • aura.american.edu
    Updated Feb 12, 2025
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    Woods & Poole Economics, Inc. (2025). Complete U.S. Database 2017 [Dataset]. http://doi.org/10.57912/24442786.v1
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Authors
    Woods & Poole Economics, Inc.
    License

    http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/

    Description

    Site-licensed "Complete U.S. Database" 2017 from Woods & Poole Economics. The downloadable ZIP file contains all folders and files as distributed on the DVD. From their description: "The Complete U.S. Database contains, on DVD, annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The Complete U.S. Database contains annual data, 1970 (some variables begin in 1990) to 2050, for all economic and demographic variables for all geographic areas in the Woods & Poole database (the U.S. total, and all regions, states, counties, and CBSAs) – more than 130 million statistics. The Complete U.S. Database differs from CEDDS in that it has the population data by single year of age cross tabulated by sex and by race – more than 1,500 demographic variables."

  20. A

    Annual Population Estimates for New York State and Counties: Beginning 1970

    • data.amerigeoss.org
    • datasets.ai
    • +2more
    csv, json, rdf, xml
    Updated May 20, 2022
    + more versions
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    United States (2022). Annual Population Estimates for New York State and Counties: Beginning 1970 [Dataset]. https://data.amerigeoss.org/dataset/21fd2ac1-aaae-4e92-997e-5eae49f051ce
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    rdf, csv, json, xmlAvailable download formats
    Dataset updated
    May 20, 2022
    Dataset provided by
    United States
    Area covered
    New York
    Description

    Resident population of New York State and counties. Estimates are based on Census counts (base population), intercensal estimates, and postcensal estimates.

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(2020). United States - Census of Population and Housing 1970 - IPUMS Subset - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/united-states-census-population-and-housing-1970-ipums-subset

United States - Census of Population and Housing 1970 - IPUMS Subset - Dataset - waterdata

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Dataset updated
Mar 16, 2020
License

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

Area covered
United States
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 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.

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