100+ datasets found
  1. F

    Housing Inventory Estimate: Vacant Housing Units in the United States

    • fred.stlouisfed.org
    json
    Updated Apr 28, 2025
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    (2025). Housing Inventory Estimate: Vacant Housing Units in the United States [Dataset]. https://fred.stlouisfed.org/series/EVACANTUSQ176N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 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: Vacant Housing Units in the United States (EVACANTUSQ176N) from Q2 2000 to Q1 2025 about vacancy, inventories, housing, and USA.

  2. Number of vacant rental units in the housing stock in the U.S. 2012-2024

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Number of vacant rental units in the housing stock in the U.S. 2012-2024 [Dataset]. https://www.statista.com/statistics/187569/housing-units-for-rent-in-the-us-since-1975/
    Explore at:
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of vacant homes for rent in the United States increased for the third year in a row in 2024, after reaching a record low in 2021. In the fourth quarter of 2024, there were approximately 3.4 million unoccupied housing units for rent.

  3. d

    Percent Vacant Housing Units

    • catalog.data.gov
    • detroitdata.org
    • +2more
    Updated Feb 21, 2025
    + more versions
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    Data Driven Detroit (2025). Percent Vacant Housing Units [Dataset]. https://catalog.data.gov/dataset/percent-vacant-housing-units-04f7d
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Description

    The Detroit early childhood interactive map contains data relating to early childhood and education. It is meant to help stakeholders better understand the early childhood landscape better. This is the Housing Group.

  4. a

    Owned, Rented, or Vacant Housing Units-Copy

    • cotgis.hub.arcgis.com
    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Jun 13, 2022
    + more versions
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    City of Tucson (2022). Owned, Rented, or Vacant Housing Units-Copy [Dataset]. https://cotgis.hub.arcgis.com/maps/794d49cb4edf46fe8337d4fa1343b2ec
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    Dataset updated
    Jun 13, 2022
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    This map compares housing units by three different types: owner-occupied, renter-occupied, or vacant. Only the type with the largest count of housing units receives a color on the map.This pattern is shown by states, counties, and tracts throughout the entire US. This data comes from the most recent 5-year American Community Survey from the Census Bureau (ACS). This data comes from this current-year ACS layer from the ArcGIS Living Atlas of the World.Each year, the data within this map is updated to reflect the newest ACS data, keeping this map up-to-date.This map helps us answer different questions such as:Are renters or home-owners more prevalent in cities? Suburbs? Rural areas?Where are vacant housing units? This question can help pinpoint blight within cities.How many housing units are within different areas?

  5. United States No of Housing Unit: Vacant: Year Round: Other Reasons

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States No of Housing Unit: Vacant: Year Round: Other Reasons [Dataset]. https://www.ceicdata.com/en/united-states/number-of-housing-units/no-of-housing-unit-vacant-year-round-other-reasons
    Explore at:
    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Stock
    Description

    United States Number of Housing Unit: Vacant: Year Round: Other Reasons data was reported at 4,146.000 Unit th in Jun 2018. This records an increase from the previous number of 4,006.000 Unit th for Mar 2018. United States Number of Housing Unit: Vacant: Year Round: Other Reasons data is updated quarterly, averaging 2,142.500 Unit th from Mar 1965 (Median) to Jun 2018, with 214 observations. The data reached an all-time high of 4,146.000 Unit th in Jun 2018 and a record low of 931.000 Unit th in Dec 1970. United States Number of Housing Unit: Vacant: Year Round: Other Reasons data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB011: Number of Housing Units. Series Remarks1. Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980.2. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes.3. Data for 1993 Q1 to Q4 was revised based on the 1990 Census.4. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

  6. ACS Housing Units Vacancy Status Variables - Boundaries

    • hub-lincolninstitute.hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    • +4more
    Updated Nov 17, 2020
    + more versions
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    Esri (2020). ACS Housing Units Vacancy Status Variables - Boundaries [Dataset]. https://hub-lincolninstitute.hub.arcgis.com/maps/d6d979b24c464b89bf490d4940eac9ee
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    Dataset updated
    Nov 17, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows vacant housing by type (for rent/sale, vacation home, etc.). This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.This layer is symbolized to show the percent of housing units that are vacant. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B25004, B25002, B25003 (Not all lines of ACS tables B25002 and B25003 are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census: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 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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  7. M

    U.S. Vacant Housing Units (2000-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Vacant Housing Units (2000-2025) [Dataset]. https://www.macrotrends.net/5488/us-vacant-housing-units
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2000 - 2025
    Area covered
    United States
    Description

    Included in this category are units held for occasional use, temporarily occupied by persons with usual residence elsewhere, and vacant for other reasons.

  8. T

    Vacant Housing Units in Iowa by Vacancy Status (ACS 5-Year Estimates)

    • data.iowa.gov
    • mydata.iowa.gov
    • +1more
    Updated Jun 7, 2024
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    U.S. Census Bureau, American Community Survey (2024). Vacant Housing Units in Iowa by Vacancy Status (ACS 5-Year Estimates) [Dataset]. https://data.iowa.gov/w/vxxf-5w5r/9c2r-rgb3?cur=j2QR5SLweo4&from=root
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    xml, kml, tsv, csv, application/rdfxml, kmz, application/geo+json, application/rssxmlAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset authored and provided by
    U.S. Census Bureau, American Community Survey
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    Iowa
    Description

    This dataset contains Iowa vacant housing units estimate by vacancy status for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B25004.

    Vacancy status includes the following: Total, For rent, For sale only, Other vacant, Rented not occupied, Sold not occupied, For migrant workers, and For seasonal recreational or occasional use.

  9. T

    Housing Inventory Estimate: Vacant Housing Units for Rent in the United...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 11, 2018
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    TRADING ECONOMICS (2018). Housing Inventory Estimate: Vacant Housing Units for Rent in the United States [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-estimate-vacant-housing-units-for-rent-for-the-united-states-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 11, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Housing Inventory Estimate: Vacant Housing Units for Rent in the United States was 3538.00000 Thous. of Units in January of 2025, according to the United States Federal Reserve. Historically, Housing Inventory Estimate: Vacant Housing Units for Rent in the United States reached a record high of 4625.00000 in July of 2009 and a record low of 2491.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory Estimate: Vacant Housing Units for Rent in the United States - last updated from the United States Federal Reserve on July of 2025.

  10. T

    Housing Inventory Estimate: Vacant Housing Units in the United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 11, 2018
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    TRADING ECONOMICS (2018). Housing Inventory Estimate: Vacant Housing Units in the United States [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-estimate-vacant-housing-units-for-the-united-states-fed-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 11, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Housing Inventory Estimate: Vacant Housing Units in the United States was 15571.00000 Thous. of Units in January of 2025, according to the United States Federal Reserve. Historically, Housing Inventory Estimate: Vacant Housing Units in the United States reached a record high of 19137.00000 in January of 2009 and a record low of 13268.00000 in October of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory Estimate: Vacant Housing Units in the United States - last updated from the United States Federal Reserve on July of 2025.

  11. F

    Housing Inventory Estimate: Vacant Housing Units Held Off the Market and...

    • fred.stlouisfed.org
    json
    Updated Apr 28, 2025
    + more versions
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    (2025). Housing Inventory Estimate: Vacant Housing Units Held Off the Market and Usual Residence Elsewhere in the United States [Dataset]. https://fred.stlouisfed.org/series/EUREUSQ176N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 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: Vacant Housing Units Held Off the Market and Usual Residence Elsewhere in the United States (EUREUSQ176N) from Q2 2000 to Q1 2025 about vacancy, inventories, residents, housing, and USA.

  12. United States No of Housing Unit: Vacant: Year Round: Held Off Market

    • ceicdata.com
    Updated Nov 22, 2021
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    CEICdata.com (2021). United States No of Housing Unit: Vacant: Year Round: Held Off Market [Dataset]. https://www.ceicdata.com/en/united-states/number-of-housing-units/no-of-housing-unit-vacant-year-round-held-off-market
    Explore at:
    Dataset updated
    Nov 22, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Stock
    Description

    United States Number of Housing Unit: Vacant: Year Round: Held Off Market data was reported at 7,467.000 Unit th in Sep 2018. This records a decrease from the previous number of 7,548.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round: Held Off Market data is updated quarterly, averaging 4,691.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 7,700.000 Unit th in Jun 2014 and a record low of 1,764.000 Unit th in Jun 1965. United States Number of Housing Unit: Vacant: Year Round: Held Off Market data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

  13. P

    2016 Vacant Housing Units

    • data.pompanobeachfl.gov
    Updated May 20, 2020
    + more versions
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    External Datasets (2020). 2016 Vacant Housing Units [Dataset]. https://data.pompanobeachfl.gov/dataset/2016-vacant-housing-units
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    kml, arcgis geoservices rest api, geojson, csv, html, zipAvailable download formats
    Dataset updated
    May 20, 2020
    Dataset provided by
    RBENSADOUN_BCGIS
    Authors
    External Datasets
    Description

    The layer was compiled from the U.S. Census Bureau’s 2018 Planning Database (PDB), a database that assembles a range of housing, demographic, socioeconomic, and census operational data. The data is from the 2012 – 2016 American Community Survey 5-Year Estimates. The purpose of the data is for 2020 Census planning purposes.

    Source: 2018 PDB, U.S. Census Bureau

    Effective Date: June 2018

    Last Update: January 2020

    Update Cycle: Generally, annually as needed. 2018 PDB is vintage used for 2020 Census planning purposes by Nation and County.

  14. Vacancy rate of housing units in Japan 1963-2023

    • statista.com
    • ai-chatbox.pro
    Updated Oct 16, 2024
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    Statista (2024). Vacancy rate of housing units in Japan 1963-2023 [Dataset]. https://www.statista.com/statistics/667202/japan-dwellings-vacancy-share/
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    The share of vacancies among the total number of dwelling units in Japan stood at 13.8 percent in 2023. This represented an increase from 2.5 percent in 1963. High vacancy rates in rural areas In 2023, around nine million dwelling units in Japan were unoccupied. Vacancy rates were especially high in rural parts of the country, while more populated urban areas such as Tokyo recorded vacancy rates below the national average. Amid the aging and shrinking of the population in Japan, vacant and abandoned houses pose an increasing challenge to local governments across the country, as the stock of dwellings is already exceeding the number of households. Vacant home databases As one measure to address the problem, local governments and private companies have set up databases to find buyers for vacant homes (“akiya”) and land (“akichi”). However, although vacant and abandoned land and property was a common issue recognized in everyday life, the level of awareness of so-called “akiya banks” was rather low, as revealed in a survey.

  15. T

    Housing Inventory Estimate: Vacant Housing Units in the Northeast Census...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 5, 2020
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    TRADING ECONOMICS (2020). Housing Inventory Estimate: Vacant Housing Units in the Northeast Census Region [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-estimate-vacant-housing-units-in-the-northeast-census-region-fed-data.html
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 5, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Northeast
    Description

    Housing Inventory Estimate: Vacant Housing Units in the Northeast Census Region was 2560.00000 Thous. of Units in January of 2025, according to the United States Federal Reserve. Historically, Housing Inventory Estimate: Vacant Housing Units in the Northeast Census Region reached a record high of 3209.00000 in January of 2011 and a record low of 2313.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory Estimate: Vacant Housing Units in the Northeast Census Region - last updated from the United States Federal Reserve on June of 2025.

  16. T

    Housing Inventory Estimate: Vacant Housing Units Held Off the Market and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 31, 2020
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    TRADING ECONOMICS (2020). Housing Inventory Estimate: Vacant Housing Units Held Off the Market and Vacant for Other Reasons in the Northeast Census Region [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-estimate-vacant-housing-units-held-off-the-market-and-vacant-for-other-reasons-in-the-northeast-census-region-fed-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Dec 31, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Northeast
    Description

    Housing Inventory Estimate: Vacant Housing Units Held Off the Market and Vacant for Other Reasons in the Northeast Census Region was 526.00000 Thous. of Units in January of 2025, according to the United States Federal Reserve. Historically, Housing Inventory Estimate: Vacant Housing Units Held Off the Market and Vacant for Other Reasons in the Northeast Census Region reached a record high of 713.00000 in January of 2019 and a record low of 386.00000 in January of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory Estimate: Vacant Housing Units Held Off the Market and Vacant for Other Reasons in the Northeast Census Region - last updated from the United States Federal Reserve on June of 2025.

  17. Number of vacant housing units in England 2006-2022, by type

    • statista.com
    Updated Oct 11, 2023
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    Statista (2023). Number of vacant housing units in England 2006-2022, by type [Dataset]. https://www.statista.com/statistics/755383/all-vacant-dwellings-england-by-type/
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    Dataset updated
    Oct 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, England
    Description

    Most of the vacant homes in the UK were long-term vacant in 2022. In that year, 248,000 of the 676,000 vacant homes in the country were long-term vacant.

  18. United States No of Housing Unit: Vacant: Year Round: For Rent

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States No of Housing Unit: Vacant: Year Round: For Rent [Dataset]. https://www.ceicdata.com/en/united-states/number-of-housing-units/no-of-housing-unit-vacant-year-round-for-rent
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Stock
    Description

    United States Number of Housing Unit: Vacant: Year Round: For Rent data was reported at 3,343.000 Unit th in Sep 2018. This records an increase from the previous number of 3,206.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round: For Rent data is updated quarterly, averaging 2,802.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 4,588.000 Unit th in Sep 2009 and a record low of 1,120.000 Unit th in Dec 1969. United States Number of Housing Unit: Vacant: Year Round: For Rent data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

  19. d

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

    • catalog.data.gov
    • gstore.unm.edu
    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 Vacancy Status (2010) [Dataset]. https://catalog.data.gov/dataset/san-juan-county-block-groups-housing-vacancy-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)
    Area covered
    San Juan 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 San Juan County and all census block groups in the county. There are two data tables in this file that show housing units by vacancy status (type of vacancy). Table DC10_01081 shows 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. Table DC10_01082 shows percent distribution of housing units 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.

  20. M

    U.S. Vacant Homes (2000-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Vacant Homes (2000-2025) [Dataset]. https://www.macrotrends.net/5246/us-vacant-homes
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2000 - 2025
    Area covered
    United States
    Description

    Beginning in 1990, year-round vacant mobile homes were included as part of the year-round vacant count of housing units. Year-round units are those intended for occupancy at any time of the year, even though they may not be in use the year round. In resort areas, a housing unit which is usually occupied on a year-round basis is considered a year-round unit. As indicated above, year-round units temporarily occupied by persons with usual residence elsewhere are included with year-round vacant units.

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Click to copy link
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(2025). Housing Inventory Estimate: Vacant Housing Units in the United States [Dataset]. https://fred.stlouisfed.org/series/EVACANTUSQ176N

Housing Inventory Estimate: Vacant Housing Units in the United States

EVACANTUSQ176N

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2 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Apr 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: Vacant Housing Units in the United States (EVACANTUSQ176N) from Q2 2000 to Q1 2025 about vacancy, inventories, housing, and USA.

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