100+ datasets found
  1. 2022 American Community Survey: 1-Year Estimates - Public Use Microdata...

    • catalog.data.gov
    Updated Oct 20, 2023
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    U.S. Census Bureau (2023). 2022 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://catalog.data.gov/dataset/2022-american-community-survey-1-year-estimates-public-use-microdata-sample
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    Dataset updated
    Oct 20, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2022, contain data on approximately one percent of the United States population.

  2. American Community Survey, 2008: 1-year Public Use Microdata Sample

    • archive.ciser.cornell.edu
    Updated Feb 6, 2024
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    Bureau of the Census (2024). American Community Survey, 2008: 1-year Public Use Microdata Sample [Dataset]. http://doi.org/10.6077/stjy-3357
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    Dataset updated
    Feb 6, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census
    Variables measured
    Individual, HousingUnit
    Description

    The American Community Survey (ACS) is a part of the Decennial Census Program, and is designed to produce critical information about the characteristics of local communities. The ACS publishes social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. The Public Use Microdata Sample files, or PUMS, are a sample of the actual responses to the American Community Survey and include most population and housing characteristics. The PUMS will allow users to tabulate data to their own specifications. The 2008 ACS 1-Year PUMS currently contains data for the nation, states, Puerto Rico, and Public Use Micro Data Sample Areas (PUMAs). PUMAs are special nonoverlapping areas that partition a state, and each PUMA contains a population of about 100,000. State governments drew the PUMA boundaries at the time of the 2000 Census.

  3. 2021 American Community Survey: 1-Year Estimates - Public Use Microdata...

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). 2021 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://catalog.data.gov/dataset/2021-american-community-survey-1-year-estimates-public-use-microdata-sample
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2021, contain data on approximately one percent of the United States population.

  4. American Community Survey: Public Use Microdata Sample: Artist Extract,...

    • icpsr.umich.edu
    ascii, delimited +5
    Updated Apr 12, 2018
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    United States. Bureau of the Census (2018). American Community Survey: Public Use Microdata Sample: Artist Extract, [United States], 2012-2016 [Dataset]. http://doi.org/10.3886/ICPSR36998.v1
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    excel, spss, r, stata, sas, delimited, asciiAvailable download formats
    Dataset updated
    Apr 12, 2018
    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/36998/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36998/terms

    Time period covered
    2012 - 2016
    Area covered
    South Dakota, Georgia, Washington, United States, Oklahoma, Indiana, Louisiana, Mississippi, Alabama, Kentucky
    Description

    The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2012-2016 is a subset of the 2012-2012 ACS sample. It contains the same sample as the combined PUMS 1-year files for 2012, 2013, 2014, 2015 and 2016. This data collection provides a person-level subset of 133,781 respondents whose occupations were coded as arts-related in the 2011-2015 ACS PUMS. The 2012-2016 PUMS is the seventh 5-year file published by the ACS. This data collection contains five years of data for the population from households and the group quarters (GQ) population. The GQ population and population from households are all weighted to agree with the ACS counts which are an average over the five year period (2012-2016). The ACS sample was selected from all counties across the nation. The ACS provides social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States. For a more detailed list of variables of what these categories include please see the decriptions of variables section.

  5. d

    2013-2017 American Community Survey: 5-Year Estimates - Public Use Microdata...

    • datasets.ai
    • catalog.data.gov
    2
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    Department of Commerce, 2013-2017 American Community Survey: 5-Year Estimates - Public Use Microdata Sample [Dataset]. https://datasets.ai/datasets/2013-2017-american-community-survey-5-year-estimates-public-use-microdata-sample
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    2Available download formats
    Dataset authored and provided by
    Department of Commerce
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population.

  6. American Community Survey (ACS): Public Use Microdata Sample (PUMS), 1998

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated May 21, 2008
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    United States. Bureau of the Census (2008). American Community Survey (ACS): Public Use Microdata Sample (PUMS), 1998 [Dataset]. http://doi.org/10.3886/ICPSR03888.v1
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    ascii, spss, sas, stataAvailable download formats
    Dataset updated
    May 21, 2008
    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/3888/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3888/terms

    Time period covered
    Nov 1997 - Dec 1998
    Area covered
    Ohio, Portland (Oregon), Florida, New York (state), Texas, Nebraska, Oregon, South Carolina, United States
    Description

    The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. It will replace the decennial long form in future censuses and is a critical element in the Bureau of the Census reengineered 2010 census. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory. The scope of the 1997 ACS was limited to housing units, occupied and vacant, in nine sites: (1) Rockland County, New York, (2) Fulton County, Pennsylvania, (3) Multnomah County and the city of Portland, Oregon, (4) Douglas County, Nebraska, (5) Franklin County, Ohio, (6) Harris and Fort Bend Counties (Houston), Texas, (7) Otero County, New Mexico, (8) Broward County, Florida, and (9) Richland and Kershaw Counties, South Carolina. Data from Pennsylvania and New Mexico were not released.

  7. ACS 1-Year PUMS

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). ACS 1-Year PUMS [Dataset]. https://catalog.data.gov/dataset/acs-1-year-pums
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

  8. 2008 American Community Survey: 1-Year Estimates - Public Use Microdata...

    • catalog.data.gov
    Updated Sep 19, 2023
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    U.S. Census Bureau (2023). 2008 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://catalog.data.gov/dataset/2008-american-community-survey-1-year-estimates-public-use-microdata-sample
    Explore at:
    Dataset updated
    Sep 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

  9. 2012-2016 American Community Survey: 5-Year Estimates - Public Use Microdata...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). 2012-2016 American Community Survey: 5-Year Estimates - Public Use Microdata Sample [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2012-2016-american-community-survey-5-year-estimates-public-use-microdata-sample
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population.

  10. 2006-2010 American Community Survey: 5-Year Estimates - Public Use Microdata...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Sep 18, 2023
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    U.S. Census Bureau (2023). 2006-2010 American Community Survey: 5-Year Estimates - Public Use Microdata Sample [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2006-2010-american-community-survey-5-year-estimates-public-use-microdata-sample
    Explore at:
    Dataset updated
    Sep 18, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population.

  11. o

    U.S. Census ACS PUMS

    • registry.opendata.aws
    Updated Apr 19, 2018
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    Data.world (2018). U.S. Census ACS PUMS [Dataset]. https://registry.opendata.aws/census-dataworld-pums/
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    Dataset updated
    Apr 19, 2018
    Dataset provided by
    Data.world
    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

    U.S. Census Bureau American Community Survey (ACS) Public Use Microdata Sample (PUMS) available in a linked data format using the Resource Description Framework (RDF) data model.

  12. P

    ACS PUMS Dataset

    • paperswithcode.com
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    Frances Ding; Moritz Hardt; John Miller; Ludwig Schmidt, ACS PUMS Dataset [Dataset]. https://paperswithcode.com/dataset/acs-pums
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    Authors
    Frances Ding; Moritz Hardt; John Miller; Ludwig Schmidt
    Description

    ACS PUMS stands for American Community Survey (ACS) Public Use Microdata Sample (PUMS) and has been used to construct several tabular datasets for studying fairness in machine learning:

    ACSIncome: to predict whether an individual’s income is above $50,000.

    ACSPublicCoverage: to predict whether an individual is covered by public health insurance.

    ACSMobility: to predict whether an individual had the same residential address one year ago.

    ACSEmployment: to predict whether an individual is employed.

    ACSTravelTime: predict whether an individual has a commute to work that is longer than 20 minutes.

  13. 2015 American Community Survey: 1-Year Estimates - Public Use Microdata...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). 2015 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2015-american-community-survey-1-year-estimates-public-use-microdata-sample
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

  14. C

    2020 Census PUMAs Final

    • data.ca.gov
    Updated May 11, 2023
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    California Department of Finance (2023). 2020 Census PUMAs Final [Dataset]. https://data.ca.gov/dataset/2020-census-pumas-final
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    May 11, 2023
    Dataset provided by
    Calif. Dept. of Finance Demographic Research Unit
    Authors
    California Department of Finance
    Description

    The Application

    This application allows comparison of the proposed California 2020 Public Use Microdata Areas (PUMAs) with the 2010 PUMAs. The boundaries for these PUMAs were delineated based on population counts for California counties and tracts from the 2020 Census. The Demographic Research Unit worked with California State Data Center affiliates and regional organizations to ensure that the PUMAs reflect local communities.


    For more information, go to the Census Bureau's 2020 Census PUMA program web page.


    PUMAs

    Public Use Microdata Areas (PUMAs) are non-overlapping, statistical geographic areas that partition each state or equivalent entity into geographic areas containing no fewer than 100,000 people each. They cover the entirety of the United States. The Census Bureau defines PUMAs for the tabulation and dissemination of decennial census and American Community Survey (ACS) Public Use Microdata Sample (PUMS) data. The delineation of new PUMAs occurs after the completion of the decennial census as part of a program involving the State Data Centers (SDCs). The Census Bureau's PUMA web page contains more details about these areas.


    Note that the 2020 and 2010 PUMAs may not overlap exactly as 2020 census tracts were changed from the 2010 census.


    Source:

    California Department of Finance, Demographic Research Unit.

  15. 2020 American Community Survey: B16001 | LANGUAGE SPOKEN AT HOME BY ABILITY...

    • data.census.gov
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    ACS, 2020 American Community Survey: B16001 | LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5Y2020.B16001
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2020
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..In 2016, changes were made to the languages and language categories presented in tables B16001, C16001, and B16002. For more information, see: 2016 Language Data User note..Geographical restrictions have been applied to Table B16001 - LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER for the 5-year data estimates. These restrictions are in place to protect data privacy for the speakers of smaller languages. Geographic areas published for the 5-year B16001 table include: Nation (010), States (040), Metropolitan Statistical Area-Metropolitan Divisions (314), Combined Statistical Areas (330), Congressional Districts (500), and Public Use Microdata Sample Areas (PUMAs) (795). For more information on these geographical delineations, see the Metropolitan Statistical Area Reference Files. County and tract-level data are no longer available for table B16001; for specific language data for these smaller geographies, please use table C16001. Additional languages are also available in the Public Use Microdata Sample (PUMS), at the State and Public Use Microdata Sample Area (PUMA) levels of geography..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  16. 2009 American Community Survey: 1-Year Estimates - Public Use Microdata...

    • s.cnmilf.com
    Updated Sep 4, 2023
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    U.S. Census Bureau (2023). 2009 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2009-american-community-survey-1-year-estimates-public-use-microdata-sample
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    Dataset updated
    Sep 4, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

  17. D

    2020 Public Use Microdata Areas (PUMAs); PA, NJ, DE & MD

    • catalog.dvrpc.org
    • staging-catalog.cloud.dvrpc.org
    • +2more
    api, geojson, html +1
    Updated May 23, 2025
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    DVRPC (2025). 2020 Public Use Microdata Areas (PUMAs); PA, NJ, DE & MD [Dataset]. https://catalog.dvrpc.org/dataset/2020-public-use-microdata-areas-pumas-pa-nj-de-md
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    html, xml, api, geojsonAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    DVRPC
    Area covered
    Pennsylvania, New Jersey
    Description

    USE geoid TO JOIN DATA DOWNLOADED FROM DATA.CENSUS.GOV The TIGER/Line Shapefiles are extracts of selected geographic and cartographic information from the Census Bureau's Master Address File (MAF)/Topologically Integrated Geographic Encoding and Referencing (TIGER) System (MTS). The TIGER/Line Shapefiles contain a standard geographic identifier (GEOID) for each entity that links to the GEOID in the data from censuses and surveys. The TIGER/Line Shapefiles do not include demographic data from surveys and censuses (e.g., Decennial Census, Economic Census, American Community Survey, and the Population Estimates Program). Other, non-census, data often have this standard geographic identifier as well. Data from many of the Census Bureau’s surveys and censuses, including the geographic codes needed to join to the TIGER/Line Shapefiles, are available at the Census Bureau’s public data dissemination website (https://data.census.gov/). Public Use Microdata Areas (PUMAs) are statistical geographic areas for the dissemination of decennial census and American Community Survey (ACS) Public Use Microdata Sample files in which the Census Bureau provides selected extracts of raw data from a small sample of census records that are screened to protect confidentiality. The ACS also uses the PUMAs as a tabulation geographic entity. For the 2020 Census, the State Data Centers in each state, the District of Columbia, and Puerto Rico are involved in the delineation of the 2020 PUMAs. Counties and census tracts are used to define PUMAs, and each PUMA must include at least 100,000 people based on the 2020 Census published counts. For the 2020 Census in Guam and the U.S. Virgin Islands, the Census Bureau establishes a single, separate PUMA for each of these two Island Areas. American Samoa and the Commonwealth of the Northern Mariana Islands do not have PUMAs, because the total population of each is under 100,000 people. Downloaded from https://www2.census.gov/geo/tiger/TIGER2022/PUMA/ on June 22, 2023

  18. d

    Demographic Profiles of ACS 5 Year Estimates at the Public Use Microdata...

    • datasets.ai
    • data.cityofnewyork.us
    • +2more
    57
    Updated Aug 7, 2024
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    City of New York (2024). Demographic Profiles of ACS 5 Year Estimates at the Public Use Microdata Areas (PUMA) Level [Dataset]. https://datasets.ai/datasets/demographic-profiles-of-acs-5-year-estimates-at-the-public-use-microdata-areas-puma-level
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    57Available download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    City of New York
    Description

    Four tables of ACS demographic profiles for 2012 to 2016 at the PUMA level. Four profiles include demographics, economic, housing and sociological. Column headers in this database are abbreviated. Please see the data dictionary (shown in worksheet entitled “Dictionary”) for an explanation of these abbreviated headers.

  19. g

    2020 American Community Survey: 5-Year Estimates - Public Use Microdata...

    • gimi9.com
    Updated Jul 23, 2021
    + more versions
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    (2021). 2020 American Community Survey: 5-Year Estimates - Public Use Microdata Sample | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_2020-american-community-survey-5-year-estimates-public-use-microdata-sample
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    Dataset updated
    Jul 23, 2021
    License

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

    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population.

  20. 2022 American Community Survey: B16001 | Language Spoken at Home by Ability...

    • data.census.gov
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    ACS, 2022 American Community Survey: B16001 | Language Spoken at Home by Ability to Speak English for the Population 5 Years and Over (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table?tid=ACSDT5Y2022.B16001
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2022
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..In 2016, changes were made to the languages and language categories presented in tables B16001, C16001, and B16002. For more information, see: 2016 Language Data User note..Geographical restrictions have been applied to Table B16001 - LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER for the 5-year data estimates. These restrictions are in place to protect data privacy for the speakers of smaller languages. Geographic areas published for the 5-year B16001 table include: Nation (010), States (040), Metropolitan Statistical Area-Metropolitan Divisions (314), Combined Statistical Areas (330), Congressional Districts (500), and Public Use Microdata Sample Areas (PUMAs) (795). For more information on these geographical delineations, see the Metropolitan Statistical Area Reference Files. County and tract-level data are no longer available for table B16001; for specific language data for these smaller geographies, please use table C16001. Additional languages are also available in the Public Use Microdata Sample (PUMS), at the State and Public Use Microdata Sample Area (PUMA) levels of geography..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

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Close
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U.S. Census Bureau (2023). 2022 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://catalog.data.gov/dataset/2022-american-community-survey-1-year-estimates-public-use-microdata-sample
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2022 American Community Survey: 1-Year Estimates - Public Use Microdata Sample

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 20, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Description

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2022, contain data on approximately one percent of the United States population.

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