35 datasets found
  1. Number of homeless veterans in the U.S., by state 2022

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). Number of homeless veterans in the U.S., by state 2022 [Dataset]. https://www.statista.com/statistics/727819/number-of-homeless-veterans-in-the-us-by-state/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    This statistic shows the estimated number of homeless veterans in the United States in 2022, by state. In 2022, about 10,395 veterans living in California were homeless.

  2. Estimated number of homeless veterans in the U.S. by shelter status...

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). Estimated number of homeless veterans in the U.S. by shelter status 2007-2023 [Dataset]. https://www.statista.com/statistics/727032/estimated-number-of-homeless-veterans-in-the-us/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, about 15,507 homeless veterans in the United States were estimated to be living outside a homeless shelter. In comparison, 20,067 homeless veterans were estimated to be living inside a homeless shelter in that year.

  3. Profile of Sheltered Homeless Veterans for Fiscal Years 2009 and 2010

    • catalog.data.gov
    Updated Apr 17, 2021
    + more versions
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    Profile of Sheltered Homeless Veterans for Fiscal Years 2009 and 2010 [Dataset]. https://catalog.data.gov/dataset/profile-of-sheltered-homeless-veterans-for-fiscal-years-2009-and-2010
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    Dataset updated
    Apr 17, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This brief uses data from the 2009 and 2010 Annual Homeless Assessment Reports (AHAR) to Congress. The reports were sponsored by the Department of Housing and Urban Development and the Department of Veterans Affairs.

  4. Share of homeless veterans U.S. 2023, by race

    • statista.com
    Updated Dec 2, 2024
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    Statista (2024). Share of homeless veterans U.S. 2023, by race [Dataset]. https://www.statista.com/statistics/962241/share-homeless-veterans-us-race/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, about 3.6 percent of the estimated number of homeless veterans in the United States were Native American. In comparison, 57 percent were white and 31.3 percent were Black or African American.

  5. Share of homeless veterans U.S. 2023, by gender

    • statista.com
    Updated Dec 2, 2024
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    Share of homeless veterans U.S. 2023, by gender [Dataset]. https://www.statista.com/statistics/962219/share-homeless-veterans-us-gender/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, about 87.8 percent of the estimated number of homeless veterans in the United States were male, compared to 11.2 percent who were female.

  6. Rate of homelessness in the U.S. 2023, by state

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). Rate of homelessness in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/727847/homelessness-rate-in-the-us-by-state/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    When analyzing the ratio of homelessness to state population, New York, Vermont, and Oregon had the highest rates in 2023. However, Washington, D.C. had an estimated 73 homeless individuals per 10,000 people, which was significantly higher than any of the 50 states. Homeless people by race The U.S. Department of Housing and Urban Development performs homeless counts at the end of January each year, which includes people in both sheltered and unsheltered locations. The estimated number of homeless people increased to 653,104 in 2023 – the highest level since 2007. However, the true figure is likely to be much higher, as some individuals prefer to stay with family or friends - making it challenging to count the actual number of homeless people living in the country. In 2023, nearly half of the people experiencing homelessness were white, while the number of Black homeless people exceeded 243,000. How many veterans are homeless in America? The  number of homeless veterans in the United States has halved since 2010. The state of California, which is currently suffering a homeless crisis, accounted for the highest number of homeless veterans in 2022. There are many causes of homelessness among veterans of the U.S. military, including post-traumatic stress disorder (PTSD), substance abuse problems, and a lack of affordable housing.

  7. T

    Homeless Veterans Who Regain Housing

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    application/rdfxml +5
    Updated Mar 24, 2025
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    PIerce County Human Services (2025). Homeless Veterans Who Regain Housing [Dataset]. https://open.piercecountywa.gov/Social-Services/Homeless-Veterans-Who-Regain-Housing/keuh-wyje
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    application/rdfxml, csv, application/rssxml, json, xml, tsvAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    PIerce County Human Services
    Description

    This dataset comes from Pierce County's Homeless Management Information System (HMIS). HMIS is a local information technology system used to collect client-level data and data on the provision of housing and services to homeless individuals and families and persons at risk of homelessness.

    Federal and State funders require any Continuum of Care receiving federal and state homeless funds use a locally-administered data system to record and analyze homeless information. To comply with this requirement Pierce County has contracted with Bowman Systems L.L.C. for the use of the ServicePoint HMIS database.

  8. e

    Homeless Point in Time Count, 2019, by Continuum of Care (CoC) Area

    • coronavirus-resources.esri.com
    Updated Mar 11, 2020
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    Homeless Point in Time Count, 2019, by Continuum of Care (CoC) Area [Dataset]. https://coronavirus-resources.esri.com/datasets/4b8902a3093f451ca9f326be3b731b09
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    Dataset updated
    Mar 11, 2020
    Dataset authored and provided by
    Urban Observatory by Esri
    Area covered
    Description

    This layer contains detailed Point in Time counts of homeless populations from 2019. This layer is modeled after a similar layer that contains data for 2018, 2013, and 2008.Layer is symbolized to show the count of the overall homeless population in 2019, with a pie chart of breakdown of type of shelter. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. The Point-in-Time (PIT) count is a count of sheltered and unsheltered homeless persons on a single night in January. HUD requires that Continuums of Care Areas (CoCs) conduct an annual count of homeless persons who are sheltered in emergency shelter, transitional housing, and Safe Havens on a single night. CoCs also must conduct a count of unsheltered homeless persons every other year (odd numbered years). Each count is planned, coordinated, and carried out locally.The Point-in-Time values were retrieved from HUD's Historical Data site. Original source is the 2019 sheet within the "2007 - 2019 PIT Counts by CoCs.xlsx" (downloaded on 3/10/2020) file. Key fields were kept and joined to the CoC boundaries available from HUD's Open Data site.Data note: MO-604 covers territory in both Missouri and Kansas. The record described in this file represents the CoC's total territory, the sum of the point-in-time estimates the CoC separately reported for the portions of its territory in MO and in KS.For more information and attributes on the CoC Areas themselves, including contact information, see this accompanying layer.Suggested Citation: U.S. Department of Housing and Urban Development (HUD)'s Point in Time (PIT) 2019 counts for Continuum of Care Grantee Areas, accessed via ArcGIS Living Atlas of the World on (date).

  9. Annual Homeless Assessment Report (AHAR): Part 1 - Point-in-Time (PIT)...

    • s.cnmilf.com
    • datasets.ai
    • +2more
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Annual Homeless Assessment Report (AHAR): Part 1 - Point-in-Time (PIT) Estimates of Homelessness [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/ahar-part-1-pit-estimates-of-homelessness
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This report outlines the key findings of the 2014 Point-In-Time (PIT) and Housing Inventory (HIC) counts conducted in January 2014. Specifically, this report provides 2014 national, state, and CoC-level PIT and HIC estimates of homelessness, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth.

  10. O

    Point In Time Homeless Survey Data

    • data.sonomacounty.ca.gov
    application/rdfxml +5
    Updated Jul 30, 2018
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    Sonoma County Community Development Commission (2018). Point In Time Homeless Survey Data [Dataset]. https://data.sonomacounty.ca.gov/w/d5jk-fziy/_variation_?cur=HV0_J2YAKiQ&from=root
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    application/rssxml, application/rdfxml, xml, tsv, csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2018
    Dataset authored and provided by
    Sonoma County Community Development Commission
    Description

    The County of Sonoma conducts an annual homeless count for the entire county. The survey data is derived from a sample of about 600 homeless persons countywide per year. The resulting information is statistically reliable only for the county as a whole, not for individual locations. The exception is the City of Santa Rosa, where the sample taken within the city is large enough to be predictive of the overall homeless population in that city.

  11. Data from: Department of Veterans Affairs FY 2014-2020 Strategic Plan

    • catalog.data.gov
    • datahub.va.gov
    • +4more
    Updated Apr 25, 2021
    + more versions
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    Department of Veterans Affairs (2021). Department of Veterans Affairs FY 2014-2020 Strategic Plan [Dataset]. https://catalog.data.gov/dataset/department-of-veterans-affairs-fy-2014-2020-strategic-plan
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    Dataset updated
    Apr 25, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The VA Strategic Plan for 2010–2014 established our enduring principles: people-centric, results-driven, and forward-looking. We will continue to use those principles to increase Veterans’ access to benefits, eliminate the disability claims backlog, and end the rescue phase of Veteran homelessness.

  12. W

    Homelessness Count - USA

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Feb 8, 2017
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    United States (2017). Homelessness Count - USA [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/homelessness-count-usa
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    json, xml, csv, rdfAvailable download formats
    Dataset updated
    Feb 8, 2017
    Dataset provided by
    United States
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    This report outlines the key findings of the annual Point-In-Time (PIT) count and Housing Inventory Count (HIC) conducted in January of each year. Specifically, this report provides estimates of homelessness self-reported, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth.

    Current link at the time of dataset creation: https://www.hudexchange.info/resource/4832/2015-ahar-part-1-pit-estimates-of-homelessness/

  13. O

    Unsheltered Point in Time (PIT) Count Phoenix Metro Area

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    Updated Jun 6, 2024
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    Maricopa Association of Governments (MAG) (2024). Unsheltered Point in Time (PIT) Count Phoenix Metro Area [Dataset]. https://data.mesaaz.gov/w/jagk-fkkw/c963-au5t?cur=_tinnmmjKW4&from=Zo8WRZlICic
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    application/geo+json, csv, kml, tsv, xml, kmz, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    Maricopa Association of Governments (MAG)
    Area covered
    Phoenix Metropolitan Area
    Description

    Aggregated and summarized information collected from the Point in Time count of the number of persons experiencing homelessness in the Phoenix-Mesa metro area as of the survey date. Detailed results for Mesa Only at https://data.mesaaz.gov/Community-Services/Unsheltered-Point-In-Time-PIT-Count-Details-Mesa-O/efjd-c5mi Due to the unprecedented COVID-19 pandemic, the US Department of Housing and Urban Development (HUD) approved the Maricopa Regional Continuum of Care to opt out of the unsheltered Point In Time (PIT) Homeless Count for 2021. Every January, volunteers and outreach teams from local communities collaborate to survey and count the number of homeless. persons in their respective locations. With the information provided by the PIT Count, the Maricopa Regional Continuum of Care and local communities can determine how best to address homelessness. For more information see https://www.azmag.gov/Programs/Homelessness/Point-In-Time-Homeless-Count. NOTE: The HUD definition of chronic homelessness is: (1) a person who lives in a place not meant for human habitation, Safe Haven, or Emergency Shelter, (2) has a disability, and (3) has been homeless continuously for one year OR four or more times homeless in the last three years, where the combined length of time homeless is at least 12 months.

  14. d

    Historical Veteran Peer Coordinator (VPC) Program Moves

    • datasets.ai
    • data.cityofnewyork.us
    • +1more
    23, 40, 55, 8
    Updated Sep 10, 2024
    + more versions
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    City of New York (2024). Historical Veteran Peer Coordinator (VPC) Program Moves [Dataset]. https://datasets.ai/datasets/veteran-peer-coordinator-vpc-program-moves
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    40, 8, 23, 55Available download formats
    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    City of New York
    Description

    Clients (veterans or Veterans w/ family) that were successfully housed through the Veteran Peer Coordinator (VPC) program during Fiscal 2019.
    This table reports the clients (veterans or Veterans w/ family) that were successfully housed through the Veteran Peer Coordinator (VPC) program. These moves are managed and reported by the Housing & Support Services (HSS) line of action. This data collected by the coordinators at various shelters across the city with the assistance of other city agencies. Each record represents a client intake, which entails a particular homelessness assistance request. The captured in this report can provide insight on the successful moves DVS processes, including some demographic information on the veterans DVS interacts with. The report is manually recorded, compiling information from various systems and databases.

  15. Health conditions among homeless veterans in King County, Washington, 2020

    • statista.com
    Updated Dec 11, 2024
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    Statista (2024). Health conditions among homeless veterans in King County, Washington, 2020 [Dataset]. https://www.statista.com/statistics/1463138/health-conditions-homeless-veterans-king-county/
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    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Washington, United States
    Description

    In 2020, surveys conducted among people experiencing homelessness in King County, Washington found that 55 percent of those who were veterans suffered from post-traumatic stress disorder (PTSD), compared to 39 percent of those who were not veterans. This statistic shows the percentage of veteran and non-veteran homeless persons in King County, Washington who stated they had select health conditions as of 2020.

  16. a

    Overall Homeless Veterans by Continuum of Care Area

    • impactmap-smudallas.hub.arcgis.com
    Updated May 8, 2024
    + more versions
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    SMU (2024). Overall Homeless Veterans by Continuum of Care Area [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/overall-homeless-veterans-by-continuum-of-care-area
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    Dataset updated
    May 8, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Point-in-Time (PIT) count is a count of sheltered and unsheltered homeless persons on a single night in January. HUD requires that Continuums of Care Areas (CoCs) conduct an annual count of homeless persons who are sheltered in emergency shelter, transitional housing, and Safe Havens on a single night. CoCs also must conduct a count of unsheltered homeless persons every other year (odd numbered years). Each count is planned, coordinated, and carried out locally.

  17. f

    Tests of significance and p-values derived from generalized additive models...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
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    Jonathan K. Wynn; Amanda McCleery; Derek M. Novacek; Eric A. Reavis; Damla Senturk; Catherine A. Sugar; Jack Tsai; Michael F. Green (2023). Tests of significance and p-values derived from generalized additive models (GAM) analyses, testing for significant changes in trajectories over time for clinical and functional factors (i.e., within group effects) and for significant between-group differences in those trajectories over time (i.e., between group effects). [Dataset]. http://doi.org/10.1371/journal.pone.0273579.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jonathan K. Wynn; Amanda McCleery; Derek M. Novacek; Eric A. Reavis; Damla Senturk; Catherine A. Sugar; Jack Tsai; Michael F. Green
    License

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

    Description

    Tests of significance and p-values derived from generalized additive models (GAM) analyses, testing for significant changes in trajectories over time for clinical and functional factors (i.e., within group effects) and for significant between-group differences in those trajectories over time (i.e., between group effects).

  18. Homeless Point in Time Count, 2019, by Continuum of Care (CoC) Area

    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Mar 11, 2020
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    Urban Observatory by Esri (2020). Homeless Point in Time Count, 2019, by Continuum of Care (CoC) Area [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/maps/4f18bc402faa44f6a94dfff113b59d38
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    Dataset updated
    Mar 11, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map shows Point in Time counts of the overall homeless populations from 2019. Layer is symbolized to show the count of the overall homeless population in 2019, with a pie chart of breakdown of type of shelter. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. The Point-in-Time (PIT) count is a count of sheltered and unsheltered homeless persons on a single night in January. HUD requires that Continuums of Care Areas (CoCs) conduct an annual count of homeless persons who are sheltered in emergency shelter, transitional housing, and Safe Havens on a single night. CoCs also must conduct a count of unsheltered homeless persons every other year (odd numbered years). Each count is planned, coordinated, and carried out locally.The Point-in-Time values were retrieved from HUD's Historical Data site. Original source is the 2019 sheet within the "2007 - 2019 PIT Counts by CoCs.xlsx" (downloaded on 3/10/2020) file. Key fields were kept and joined to the CoC boundaries available from HUD's Open Data site.Data note: MO-604 covers territory in both Missouri and Kansas. The record described in this file represents the CoC's total territory, the sum of the point-in-time estimates the CoC separately reported for the portions of its territory in MO and in KS.For more information and attributes on the CoC Areas themselves, including contact information, see this accompanying layer.Suggested Citation: U.S. Department of Housing and Urban Development (HUD)'s Point in Time (PIT) 2019 counts for Continuum of Care Grantee Areas, accessed via ArcGIS Living Atlas of the World on (date).

  19. a

    Point in time estimates of homeless veterans population in January 2020

    • de-plans-udel.hub.arcgis.com
    Updated Jun 8, 2023
    + more versions
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    University of Delaware (2023). Point in time estimates of homeless veterans population in January 2020 [Dataset]. https://de-plans-udel.hub.arcgis.com/datasets/point-in-time-estimates-of-homeless-veterans-population-in-january-2020-1
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    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    University of Delaware
    Description

    University of Delaware Institute for Public AdministrationSource: Policy Map, HUD, Delaware Statewide CoC, DE (Continuum of Care) (pdf)

  20. f

    Geographic variability in use of different indicators of homelessness.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
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    Jack Tsai; Dorota Szymkowiak; Eric Jutkowitz (2023). Geographic variability in use of different indicators of homelessness. [Dataset]. http://doi.org/10.1371/journal.pone.0279973.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jack Tsai; Dorota Szymkowiak; Eric Jutkowitz
    License

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

    Description

    Geographic variability in use of different indicators of homelessness.

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Statista (2024). Number of homeless veterans in the U.S., by state 2022 [Dataset]. https://www.statista.com/statistics/727819/number-of-homeless-veterans-in-the-us-by-state/
Organization logo

Number of homeless veterans in the U.S., by state 2022

Explore at:
Dataset updated
Sep 5, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United States
Description

This statistic shows the estimated number of homeless veterans in the United States in 2022, by state. In 2022, about 10,395 veterans living in California were homeless.

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