72 datasets found
  1. c

    Total Housing Units by County - Datasets - CTData.org

    • data.ctdata.org
    Updated Mar 16, 2016
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    (2016). Total Housing Units by County - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/total-housing-units-by-county
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    Dataset updated
    Mar 16, 2016
    License

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

    Description

    Total Housing Units by County reports the estimated total number of housing units disaggregated by occupancy status.

  2. Population Estimates: Housing Unit Estimates for US, States, and Counties

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Population Estimates: Housing Unit Estimates for US, States, and Counties [Dataset]. https://catalog.data.gov/dataset/population-estimates-housing-unit-estimates-for-us-states-and-counties
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    Annual Housing Unit Estimates for the United States, States, and Counties: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 housing units due to the Count Question Resolution program and geographic program revisions // Each year, the Census Bureau's Population and Housing Unit Estimates Program utilizes current data on new residential construction, placements of manufactured housing, and housing unit loss to calculate change in the housing stock since the most recent decennial census, and produces a time series of housing unit estimates. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

  3. F

    Housing Inventory Estimate: Total Housing Units in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 28, 2025
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    (2025). Housing Inventory Estimate: Total Housing Units in the United States [Dataset]. https://fred.stlouisfed.org/series/ETOTALUSQ176N
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    jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory Estimate: Total Housing Units in the United States (ETOTALUSQ176N) from Q2 2000 to Q2 2025 about inventories, housing, and USA.

  4. w

    Union County Blocks, Housing Occupancy Status (2010)

    • data.wu.ac.at
    • gstore.unm.edu
    • +2more
    html, xml, zip
    Updated Jul 21, 2016
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    Earth Data Analysis Center, University of New Mexico (2016). Union County Blocks, Housing Occupancy Status (2010) [Dataset]. https://data.wu.ac.at/schema/data_gov/ZGU4MzUwNGMtZGQ2Ny00M2I4LTlmNGQtOWExOTIwMjA0YjFl
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    zip, html, xmlAvailable download formats
    Dataset updated
    Jul 21, 2016
    Dataset provided by
    Earth Data Analysis Center, University of New Mexico
    Area covered
    09bd98f4569cf2a81b169c4ea88207555b533f21
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in this particular RGIS Clearinghouse table are for each block in Union County and the county as a whole. The data table provides total counts of housing units, ocupied housing units and vacant housing units. This file, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  5. Vital Signs: Housing Production – by county

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Feb 3, 2023
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    California Department of Finance (2023). Vital Signs: Housing Production – by county [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Housing-Production-by-county/nyee-uw6v
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 3, 2023
    Dataset authored and provided by
    California Department of Financehttps://dof.ca.gov/
    Description

    VITAL SIGNS INDICATOR Housing Production (LU4)

    FULL MEASURE NAME Produced housing units by unit type

    LAST UPDATED October 2019

    DESCRIPTION Housing production is measured in terms of the number of units that local jurisdictions produces throughout a given year. The annual production count captures housing units added by new construction and annexations, subtracts demolitions and destruction from natural disasters, and adjusts for units lost or gained by conversions.

    DATA SOURCE California Department of Finance Form E-8 1990-2010 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-8/

    California Department of Finance Form E-5 2011-2018 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-5/

    U.S. Census Bureau Population Estimates 2000-2018 https://www.census.gov/programs-surveys/popest.html

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Single-family housing units include single detached units and single attached units. Multi-family housing includes two to four units and five plus or apartment units.

    Housing production data for metropolitan areas for each year is the difference of annual housing unit estimates from the Census Bureau’s Population Estimates Program. Housing production data for the region, counties, and cities for each year is the difference of annual housing unit estimates from the California Department of Finance. Department of Finance data uses an annual cycle between January 1 and December 31, whereas U.S. Census Bureau data uses an annual cycle from April 1 to March 31 of the following year.

    Housing production data shows how many housing units have been produced over time. Like housing permit statistics, housing production numbers are an indicator of where the region is growing. However, since permitted units are sometimes not constructed or there can be a long lag time between permit approval and the start of construction, production data also reflects the effects of barriers to housing production. These range from a lack of builder confidence to high construction costs and limited financing. Data also differentiates the trends in multi-family, single-family and mobile home production.

  6. d

    Quay County Blocks, Housing Vacancy Status (2010)

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Dec 2, 2020
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Quay County Blocks, Housing Vacancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/quay-county-blocks-housing-vacancy-status-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    Quay County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. These data come from Summary File 1 (SF-1). The geographic coverage for SF-1 includes the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, census tracts, block groups and blocks, among others. The data in this particular RGIS Clearinghouse table is for Quay County and all census blocks in the county. Table DC10_01119 shows counts of housing units by vacancy status (type of vacancy). The table includes the number of vacant housing units by the following categories; total, for rent, rented but not yet occupied, for sale only, sold but not yet occupied, seasonal or recreational or occasional use, for migrant workers, and vacant for some other reason. This file, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  7. a

    VT Data – 2020 Census Block Group

    • hub.arcgis.com
    • geodata.vermont.gov
    • +3more
    Updated Oct 20, 2022
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    VT Center for Geographic Information (2022). VT Data – 2020 Census Block Group [Dataset]. https://hub.arcgis.com/datasets/b144ae3e38aa4b68a64f7f102bbabba8
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    Dataset updated
    Oct 20, 2022
    Dataset authored and provided by
    VT Center for Geographic Information
    Area covered
    Description

    This layer contains a Vermont-only subset of block group level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.Data download date: August 12, 2021Census tables: P1, P2, P3, P4, H1, P5, HeaderDownloaded from: Census FTP siteProcessing Notes:Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". The following alterations have been made to the tabular data:Joined all tables to create one wide attribute table:P1 - RaceP2 - Hispanic or Latino, and not Hispanic or Latino by RaceP3 - Race for the Population 18 Years and OverP4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and OverH1 - Occupancy Status (Housing)P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)HeaderAfter joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC, and BLOCK.GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.Placeholder fields for future legislative districts have been dropped: CD118, CD119, CD120, CD121, SLDU22, SLDU24, SLDU26, SLDU28, SLDL22, SLDL24 SLDL26, SLDL28.P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.In addition to calculated fields, County_Name and State_Name were added.The following calculated fields have been added (see long field descriptions in the Data tab for formulas used): PCT_P0030001: Percent of Population 18 Years and OverPCT_P0020002: Percent Hispanic or LatinoPCT_P0020005: Percent White alone, not Hispanic or LatinoPCT_P0020006: Percent Black or African American alone, not Hispanic or LatinoPCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or LatinoPCT_P0020008: Percent Asian alone, Not Hispanic or LatinoPCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or LatinoPCT_P0020010: Percent Some Other Race alone, not Hispanic or LatinoPCT_P0020011: Percent Population of Two or More Races, not Hispanic or LatinoPCT_H0010002: Percent of Housing Units that are OccupiedPCT_H0010003: Percent of Housing Units that are VacantPlease note these percentages might look strange at the individual block group level, since this data has been protected using differential privacy.*VCGI exported a Vermont-only subset of the nation-wide layer to produce this layer--with fields limited to this popular subset: OBJECTID: OBJECTID GEOID: Geographic Record Identifier NAME: Area Name-Legal/Statistical Area Description (LSAD) Term-Part Indicator County_Name: County Name State_Name: State Name P0010001: Total Population P0010003: Population of one race: White alone P0010004: Population of one race: Black or African American alone P0010005: Population of one race: American Indian and Alaska Native alone P0010006: Population of one race: Asian alone P0010007: Population of one race: Native Hawaiian and Other Pacific Islander alone P0010008: Population of one race: Some Other Race alone P0020002: Hispanic or Latino Population P0020003: Non-Hispanic or Latino Population P0030001: Total population 18 years and over H0010001: Total housing units H0010002: Total occupied housing units H0010003: Total vacant housing units P0050001: Total group quarters population PCT_P0030001: Percent of Population 18 Years and Over PCT_P0020002: Percent Hispanic or Latino PCT_P0020005: Percent White alone, not Hispanic or Latino PCT_P0020006: Percent Black or African American alone, not Hispanic or Latino PCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or Latino PCT_P0020008: Percent Asian alone, not Hispanic or Latino PCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or Latino PCT_P0020010: Percent Some Other Race alone, not Hispanic or Latino PCT_P0020011: Percent Population of two or more races, not Hispanic or Latino PCT_H0010002: Percent of Housing Units that are Occupied PCT_H0010003: Percent of Housing Units that are Vacant SUMLEV: Summary Level REGION: Region DIVISION: Division COUNTY: County (FIPS) COUNTYNS: County (NS) TRACT: Census Tract BLKGRP: Block Group AREALAND: Area (Land) AREAWATR: Area (Water) INTPTLAT: Internal Point (Latitude) INTPTLON: Internal Point (Longitude) BASENAME: Area Base Name POP100: Total Population Count HU100: Total Housing Count *To protect the privacy and confidentiality of respondents, data has been protected using differential privacy techniques by the U.S. Census Bureau. This means that some individual block groups will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized.Download Census redistricting data in this layer as a file geodatabase.Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data Program

  8. d

    San Miguel County Block Groups, Housing Occupancy Status (2010)

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). San Miguel County Block Groups, Housing Occupancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/san-miguel-county-block-groups-housing-occupancy-status-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    San Miguel County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for San Juan County and all census block groups within San Juan County. There are two data tables. One provides total counts of housing units, ocupied housing units and vacant housing units, while the other provides counts of total housing uings along with proportions of occupied and vacant housing units. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  9. d

    Dona Ana County Block Groups, Households by Type (2010)

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Dona Ana County Block Groups, Households by Type (2010) [Dataset]. https://catalog.data.gov/dataset/dona-ana-county-block-groups-households-by-type-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    Doña Ana County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. These data come from Summary File 1 (SF-1). The geographic coverage for SF-1 includes the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, census tracts, block groups and blocks, among others. The data in these particular RGIS Clearinghouse tables are for Dona Ana County and all census block groups within the county. There are two data tables in this file. Table DC10_00602 shows the number of households by the following categories--total households; total family households; husband-wife family households; total other family households; male householder, no wife present; female householder, no husband present; total nonfamily households; nonfamily households with householder living along; and finally, nonfamily households with householder not living alone. Table DC10_00603 shows percent distribution of households for each of these same categories. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  10. 2022 American Community Survey: B16002 | Detailed Household Language by...

    • data.census.gov
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    ACS, 2022 American Community Survey: B16002 | Detailed Household Language by Household Limited English Speaking Status (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2022.B16002?t=Language%20Spoken%20at%20Home&y=2022
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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, 2022 American Community Survey 1-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..A "limited English speaking household" is one in which no member 14 years old and over (1) speaks only English or (2) speaks a non-English language and speaks English "very well." In other words, all members 14 years old and over have at least some difficulty with English. By definition, English-only households cannot belong to this group. Previous Census Bureau data products have referred to these households as "linguistically isolated" and "Households in which no one 14 and over speaks English only or speaks a language other than English at home and speaks English 'very well'." This table is directly comparable to tables from earlier years that used these labels..The household language assigned to the housing unit is the non-English language spoken by the first person with a non-English language in the following order: reference person, spouse, parent, sibling, child, grandchild, in-law, other relative, unmarried partner, housemate/roommate, roomer/boarder, foster child, or other nonrelative. If no member of the household age 5 and over speaks a language other than English at home then the household language is English only..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..The 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 delineations 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 correspondi...

  11. w

    Taos County Blocks, Housing Occupancy Status (2010)

    • data.wu.ac.at
    • datasets.ai
    • +3more
    html, xml, zip
    Updated Jun 25, 2014
    + more versions
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    Earth Data Analysis Center, University of New Mexico (2014). Taos County Blocks, Housing Occupancy Status (2010) [Dataset]. https://data.wu.ac.at/schema/data_gov/MWFiNDkzZWQtNDFmMi00ZDZhLWI2NmQtODAyN2E0NjA3Zjgx
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    zip, xml, htmlAvailable download formats
    Dataset updated
    Jun 25, 2014
    Dataset provided by
    Earth Data Analysis Center, University of New Mexico
    Area covered
    ac5d0da2dd2ef97c5fb194e8be90ed048d038398
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in this particular RGIS Clearinghouse table are for each block in Taos County and the county as a whole. The data table provides total counts of housing units, ocupied housing units and vacant housing units. This file, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  12. c

    Quay County Block Groups, Housing Occupancy Status (2010)

    • s.cnmilf.com
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Quay County Block Groups, Housing Occupancy Status (2010) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/quay-county-block-groups-housing-occupancy-status-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    Quay County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for Quay County and all census block groups within Quay County. There are two data tables. One provides total counts of housing units, ocupied housing units and vacant housing units, while the other provides counts of total housing uings along with proportions of occupied and vacant housing units. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  13. d

    San Juan County Block Groups, Housing Occupancy Status (2010)

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). San Juan County Block Groups, Housing Occupancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/san-juan-county-block-groups-housing-occupancy-status-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for Sandoval County and all census block groups within Sandoval County. There are two data tables. One provides total counts of housing units, ocupied housing units and vacant housing units, while the other provides counts of total housing uings along with proportions of occupied and vacant housing units. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  14. d

    Lincoln County Block Groups, Housing Occupancy Status (2010)

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Lincoln County Block Groups, Housing Occupancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/lincoln-county-block-groups-housing-occupancy-status-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for Lincoln County and all census block groups within Lincoln County. There are two data tables. One provides total counts of housing units, ocupied housing units and vacant housing units, while the other provides counts of total housing uings along with proportions of occupied and vacant housing units. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  15. d

    Quay County Block Groups, Households by Type (2010)

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Quay County Block Groups, Households by Type (2010) [Dataset]. https://catalog.data.gov/dataset/quay-county-block-groups-households-by-type-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    Quay County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. These data come from Summary File 1 (SF-1). The geographic coverage for SF-1 includes the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, census tracts, block groups and blocks, among others. The data in these particular RGIS Clearinghouse tables are for Quay County and all census block groups within the county. There are two data tables in this file. Table DC10_00628 shows the number of households by the following categories--total households; total family households; husband-wife family households; total other family households; male householder, no wife present; female householder, no husband present; total nonfamily households; nonfamily households with householder living along; and finally, nonfamily households with householder not living alone. Table DC10_00629 shows percent distribution of households for each of these same categories. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  16. d

    Guadalupe County Blocks, Households by Type (2010)

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Dec 2, 2020
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Guadalupe County Blocks, Households by Type (2010) [Dataset]. https://catalog.data.gov/dataset/guadalupe-county-blocks-households-by-type-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    Guadalupe County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. These data come from Summary File 1 (SF-1). The geographic coverage for SF-1 includes the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, census tracts, block groups and blocks, among others. The data in these particular RGIS Clearinghouse tables are for Guadalupe County and all census blocks within the county. There is one data table in this file. Table DC10_00664 shows the number of households by the following categories--total households; total family households; husband-wife family households; total other family households; male householder, no wife present; female householder, no husband present; total nonfamily households; nonfamily households with householder living along; and finally, nonfamily households with householder not living alone. This file, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  17. d

    McKinley County Blocks, Housing Occupancy Status (2010)

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 2, 2020
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). McKinley County Blocks, Housing Occupancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/mckinley-county-blocks-housing-occupancy-status-2010
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Area covered
    McKinley County
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in this particular RGIS Clearinghouse table are for each block in McKinley County and the county as a whole. The data table provides total counts of housing units, ocupied housing units and vacant housing units. This file, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  18. u

    Los Alamos County Block Groups, Housing Occupancy Status (2010)

    • gstore.unm.edu
    • catalog.data.gov
    Updated Oct 3, 2025
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (2025). Los Alamos County Block Groups, Housing Occupancy Status (2010) [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/ed8f5083-5031-4068-9c60-6c03e2822f63/metadata/ISO-19115:2003.html
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    Dataset updated
    Oct 3, 2025
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER)
    Time period covered
    Apr 1, 2010
    Area covered
    West Bound -106.418855 East Bound -106.171656 North Bound 35.973443 South Bound 35.754274
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for Los Alamos County and all census block groups within Los Alamos County. There are two data tables. One provides total counts of housing units, ocupied housing units and vacant housing units, while the other provides counts of total housing uings along with proportions of occupied and vacant housing units. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  19. d

    Grant County Block Groups, Housing Occupancy Status (2010)

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Dec 2, 2020
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact) (2020). Grant County Block Groups, Housing Occupancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/grant-county-block-groups-housing-occupancy-status-2010
    Explore at:
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER) (Point of Contact)
    Description

    The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. The first wave of results was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for Grant County and all census block groups within Grant County. There are two data tables. One provides total counts of housing units, ocupied housing units and vacant housing units, while the other provides counts of total housing uings along with proportions of occupied and vacant housing units. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  20. d

    Census Data

    • catalog.data.gov
    • data.globalchange.gov
    • +2more
    Updated Mar 1, 2024
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    U.S. Bureau of the Census (2024). Census Data [Dataset]. https://catalog.data.gov/dataset/census-data
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    U.S. Bureau of the Census
    Description

    The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

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(2016). Total Housing Units by County - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/total-housing-units-by-county

Total Housing Units by County - Datasets - CTData.org

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Dataset updated
Mar 16, 2016
License

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

Description

Total Housing Units by County reports the estimated total number of housing units disaggregated by occupancy status.

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