100+ datasets found
  1. U.S. share of homeless veterans 2024, by race

    • statista.com
    Updated Sep 19, 2025
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    Veera Korhonen (2025). U.S. share of homeless veterans 2024, by race [Dataset]. https://www.statista.com/topics/1279/veterans/
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Veera Korhonen
    Area covered
    United States
    Description

    In 2024, about one percent of the estimated number of homeless veterans in the United States were Native American or Pacific Islanders. In comparison, 52.1 percent were white and 31 percent were Black, African American, or African.

  2. U.S. poverty status of veterans 2024, by age

    • statista.com
    Updated Sep 19, 2025
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    Veera Korhonen (2025). U.S. poverty status of veterans 2024, by age [Dataset]. https://www.statista.com/topics/1279/veterans/
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Veera Korhonen
    Area covered
    United States
    Description

    In 2024, about 220,809 veterans in the United States aged between 35 and 54 had an income below the poverty level. In that same year, 588,448 veterans aged 65 and older had an income below the poverty level - the most out of any age group.

  3. U.S. veterans 2024, by state

    • statista.com
    Updated Sep 19, 2025
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    Statista (2025). U.S. veterans 2024, by state [Dataset]. https://www.statista.com/statistics/250329/number-of-us-veterans-by-state/
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    Dataset updated
    Sep 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, about 1.4 million veterans were living in Texas - the most out of any state. Florida, California, North Carolina, and Georgia rounded out the top five states with the highest veteran population in that year.

  4. U.S. most common veteran occupations 2024, by gender 2024

    • statista.com
    Updated Sep 19, 2025
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    Veera Korhonen (2025). U.S. most common veteran occupations 2024, by gender 2024 [Dataset]. https://www.statista.com/topics/1279/veterans/
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Veera Korhonen
    Area covered
    United States
    Description

    This statistic displays the most common occupational branches of U.S. veterans by gender in 2024. In 2024, about 12.6 percent male U.S. veterans were working in the service sector, compared to 14.2 percent of female U.S. veterans.

  5. F

    Population Level - Total Veterans, 18 Years and over

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Population Level - Total Veterans, 18 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU00049526
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Population Level - Total Veterans, 18 Years and over (LNU00049526) from Jan 2000 to Aug 2025 about 18 years +, veterans, civilian, population, and USA.

  6. Veterans of America's Wars (1917-present)

    • catalog.data.gov
    • datahub.va.gov
    • +3more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). Veterans of America's Wars (1917-present) [Dataset]. https://catalog.data.gov/dataset/veterans-of-americas-wars-1917-present
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Area covered
    United States
    Description

    Data from America's War factsheet with only those who served and living

  7. Occupations of female veterans in the U.S. 2024

    • statista.com
    Updated Sep 19, 2025
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    Veera Korhonen (2025). Occupations of female veterans in the U.S. 2024 [Dataset]. https://www.statista.com/topics/1279/veterans/
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Veera Korhonen
    Area covered
    United States
    Description

    This graph displays the employment share of U.S. female veterans in 2024, distinguished by occupation. In 2024, about 14.2 percent of U.S. female veterans were working in service occupations.

  8. Data from: America's Women Veterans: Military Service History and VA Benefit...

    • catalog.data.gov
    • data.va.gov
    • +3more
    Updated Sep 10, 2025
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    Department of Veterans Affairs (2025). America's Women Veterans: Military Service History and VA Benefit Utilization Statistics [Dataset]. https://catalog.data.gov/dataset/americas-women-veterans-military-service-history-and-va-benefit-utilization-statistics
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    Dataset updated
    Sep 10, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This comprehensive report chronicles the history of women in the military and as Veterans, profiles the characteristics of women Veterans in 2009, illustrates how women Veterans in 2009 utilized some of the major benefits and services offered by the Department of Veterans Affairs (VA), and discusses the future of women Veterans in relation to VA. The goal of this report is to gain an understanding of who our women Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.

  9. America's Women Veterans

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated Nov 23, 2021
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    Department of Veterans Affairs (2021). America's Women Veterans [Dataset]. https://catalog.data.gov/dataset/americas-women-veterans
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    Dataset updated
    Nov 23, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Statistics about America's female vets. https://www.data.va.gov/story/women-veterans-forum

  10. US Department of Veterans Affairs - State Summary_Iowa

    • datalumos.org
    delimited
    Updated Apr 29, 2025
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    United States Department of Veterans Affairs (2025). US Department of Veterans Affairs - State Summary_Iowa [Dataset]. http://doi.org/10.3886/E228149V2
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    delimitedAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    United States Department of Veterans Affairshttp://va.gov/
    License

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

    Time period covered
    2019
    Area covered
    Iowa
    Description

    Veteran data in .csv files. Includes population/demographic data of age distribution, period of service, income, and education. Also includes population projections. Compares Connecticut to national data

  11. Survey of Aging Veterans, 1983: [United States]

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
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    Veterans Administration (1992). Survey of Aging Veterans, 1983: [United States] [Dataset]. http://doi.org/10.3886/ICPSR08479.v2
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Veterans Administration
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8479/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8479/terms

    Time period covered
    1983
    Area covered
    United States
    Description

    The Survey of Aging Veterans was designed to provide the Veterans Administration with information needed to plan for the demands of United States veterans for medical and pension benefits over the next decade and beyond. The goal of the study was to be able to make estimates of future demands and future support needed for the rapidly expanding older veteran population. The survey yielded data on the current social, economic, and health status of noninstitutionalized veterans aged 65 and older, their patterns of utilization of Veterans Administration facilities and benefits, and future expectations regarding use of Veterans Administration programs and services. The survey also profiled the social, economic, and health status of the veteran cohorts aged 55 to 64 who will become eligible for Veterans Administration benefits over the next decade. Variables in this data collection include age, marital status, veteran status, employment, medical conditions, functional status, activity level, health and life insurance coverage, financial status, use of health care services, use of Veterans Administration benefits and services, future expectations regarding such things as personal health, finances, and need for support services, and experience with and attitudes toward Veterans Administration programs and benefits. The survey was conducted for the Veterans Administration by Louis Harris and Associates.

  12. VA Pension Recipients as a Percentage of Veteran Population by State for...

    • catalog.data.gov
    • data.va.gov
    • +1more
    Updated Sep 30, 2024
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    Department of Veterans Affairs (2024). VA Pension Recipients as a Percentage of Veteran Population by State for Fiscal Years: 2019, 2020, 2021, and 2023 [Dataset]. https://catalog.data.gov/dataset/va-pension-recipients-as-a-percentage-of-veteran-population-by-state-for-fiscal-years-2019
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    Dataset updated
    Sep 30, 2024
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This table provides state-level estimates of the percentage of Veterans who were VA pension recipients at the end of the fiscal years 2019, 2020, 2021, and 2023. Percents are rounded to the nearest tenth. Percents for fiscal year (FY) 2022 are not available by state. Prepared by the National Center for Veterans Analysis and Statistics. Sources: Department of Veterans Affairs, Office of Enterprise Integration, Veteran Population Projection Model (VetPop) 2020, Veteran Object FY 2023 data, United States Veterans Eligibility Trends & Statistics (USVETS) 2019, 2020, and 2021 data; Veterans Benefits Administration, VETSNET FY 2019, FY 2020, FY 2021, and FY 2023 pension data.

  13. T

    FY 2021 Total Number of Veterans, Veteran VA Users, and Veteran VA...

    • data.va.gov
    • datahub.va.gov
    • +3more
    application/rdfxml +5
    Updated Nov 25, 2022
    + more versions
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    (2022). FY 2021 Total Number of Veterans, Veteran VA Users, and Veteran VA Healthcare Users by Sex and Age Group [Dataset]. https://www.data.va.gov/dataset/FY-2021-Total-Number-of-Veterans-Veteran-VA-Users-/6fsh-rj6s
    Explore at:
    application/rdfxml, csv, xml, tsv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Nov 25, 2022
    Description

    Notes:

    "Total Number of Veterans" represents FY 2021 projected Veteran counts from VA's Veteran Population Projection Model 2020 (VetPop20). These projections represent living Veterans as of 9/30/2021 and are made with the assumption that Veterans are not missing information (e.g., sex, age, etc.).

    "Veteran VA Users" represents historical Veteran VA user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used any VA benefit or service during FY 2021 (includes both living and deceased Veterans as of end of FY 2021).

    "Veteran VA Healthcare Users" represents historical Veteran VA healthcare user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used VA healthcare during FY 2021 (includes both living and deceased Veterans as of end of FY 2021).

    "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service.

    There are 1,458 Veteran VA Users not shown in the table below whose sex is missing. Of these, 1,360 are missing age. There are 1,387 Veteran VA Healthcare Users not shown in the table below whose sex is missing. Of these, 1,360 are missing age.

    Sources: USVETS 2021 and VetPop20 Effective Date: 9/30/2021

  14. National Center for Veterans Analysis and Statistics At-A-Glance Pocket...

    • catalog.data.gov
    • data.va.gov
    • +4more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). National Center for Veterans Analysis and Statistics At-A-Glance Pocket Cards [Dataset]. https://catalog.data.gov/dataset/national-center-for-veterans-analysis-and-statistics-at-a-glance-pocket-cards
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    National Center for Veterans Analysis and Statistics Pocket Cards archives are a compilation of facts related to the count of Veterans receiving Department of Veterans Affairs benefits and healthcare utilization.

  15. Department of Veterans Affairs Open Data Portal State Summary for Maryland

    • datalumos.org
    delimited
    Updated May 16, 2025
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    United States Department of Veterans Affairs (2025). Department of Veterans Affairs Open Data Portal State Summary for Maryland [Dataset]. http://doi.org/10.3886/E230062V1
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    delimitedAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    United States Department of Veterans Affairshttp://va.gov/
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Area covered
    Maryland
    Description

    Map and tables with data describing Maryland's veteran population. Data tables cover: Veterans Affairs (VA) facilities and expenditures; veteran population including age distribution, period of service, household income, and educational attainment; veterans' use of VA healthcare and benefits; and projected veteran population changes as well as projections by age, gender, period of service, race/ethnicity, and age distribution over time.

  16. US Veteran Suicides

    • kaggle.com
    Updated Nov 14, 2017
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    Aleksey Bilogur (2017). US Veteran Suicides [Dataset]. https://www.kaggle.com/datasets/residentmario/us-veteran-suicides
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aleksey Bilogur
    License

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

    Area covered
    United States
    Description

    https://i.imgur.com/Vrs6apv.png" alt="">

    Context

    There is a well-documented phenomenon of increased suicide rates among United States military veterans. One recent analysis, published in 2016, found the suicide rate amongst veterans to be around 20 per day. The widespread nature of the problem has resulted in efforts by and pressure on the United States military services to combat and address mental health issues in and after service in the country's armed forces.

    In 2013 News21 published a sequence of reports on the phenomenon, aggregating and using data provided by individual states to typify the nationwide pattern. This dataset is the underlying data used in that report, as collected by the News21 team.

    Content

    The data consists of six files, one for each year between 2005 and 2011. Each year's worth of data includes the general population of each US state, a count of suicides, a count of state veterans, and a count of veteran suicides.

    Acknowledgements

    This data was originally published by News21. It has been converted from an XLS to a CSV format for publication on Kaggle. The original data, visualizations, and stories can be found at the source.

    Inspiration

    What is the geospatial pattern of veterans in the United States? How much more vulnerable is the average veteran to suicide than the average citizen? Is the problem increasing or decreasing over time?

  17. T

    FY 2020 Total Number of Veterans, Veteran VA Users, and Veteran VA...

    • data.va.gov
    • datahub.va.gov
    • +1more
    application/rdfxml +5
    Updated May 4, 2022
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    National Center for Veterans Analysis and Statistics (2022). FY 2020 Total Number of Veterans, Veteran VA Users, and Veteran VA Healthcare Users by Sex and Age Group [Dataset]. https://www.data.va.gov/dataset/FY-2020-Total-Number-of-Veterans-Veteran-VA-Users-/wh83-r6xy
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    csv, application/rssxml, json, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    May 4, 2022
    Dataset authored and provided by
    National Center for Veterans Analysis and Statistics
    Description

    Note: "Total Number of Veterans" represents FY 2020 projected Veteran counts from VA's Veteran Population Projection Model 2018 (VetPop18). These projections are made with the assumption that Veterans are not missing information (e.g. age, sex, etc.). Note: "Veteran VA Users" and "Veteran VA Healthcare Users" represent historical Veteran counts from VA's United States Veterans Eligibility Trends and Statistics 2020 (USVETS 2020). Note: "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service. Note: There are 4,214 Veteran VA Users not shown in the table below whose sex is missing. Of these, 4,126 are missing age. There are 4,158 Veteran VA Healthcare Users not shown in the table below whose sex is missing. Of these, 4,125 are missing age.

    Sources: USVETS 2020 and VetPop18

  18. Department of Veterans Affairs - Veteran Population Data

    • openicpsr.org
    • datalumos.org
    Updated Feb 28, 2025
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    United States Department of Veterans Affairs (2025). Department of Veterans Affairs - Veteran Population Data [Dataset]. http://doi.org/10.3886/E221201V1
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    United States Department of Veterans Affairshttp://va.gov/
    License

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

    Description

    This dataset is based on American Community Survey data related to Veterans, including period of service and geographic location.

  19. National Survey of Veterans, Active Duty Service Members, Demobilized...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • datahub.va.gov
    • +3more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). National Survey of Veterans, Active Duty Service Members, Demobilized National Guard and Reserve Members, Family Members, and Surviving Spouses [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/national-survey-of-veterans-active-duty-service-members-demobilized-national-guard-and-res
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The 2010 National Survey of Veterans (NSV) is the sixth in a series of comprehensive nationwide surveys designed to help the Department of Veterans Affairs (VA) plan its future programs and services for Veterans. It also provides a snapshot profile of the Veteran population. Data collected through the NSV enables VA to: follow changing trends in the Veteran population; compare characteristics of Veterans who use VA benefits and services with those of Veterans who do not; study VA�s role in the delivery of all benefits and services that Veterans receive; and update information about Veterans to help the Department develop its policies.

  20. A Process & Impact Evaluation of the Veterans Moving Forward: Best...

    • icpsr.umich.edu
    • catalog.data.gov
    Updated Jan 30, 2020
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    Burke, Cynthia (2020). A Process & Impact Evaluation of the Veterans Moving Forward: Best Practices, Outcomes, and Cost-Effectiveness, United States, 2015-2016 [Dataset]. http://doi.org/10.3886/ICPSR37192.v1
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    Dataset updated
    Jan 30, 2020
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Burke, Cynthia
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37192/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37192/terms

    Time period covered
    Nov 1, 2013 - Jan 1, 2017
    Area covered
    California, San Diego, United States
    Description

    In 2014, the San Diego Association of Governments applied for and received funding from the National Institute of Justice (NIJ) to conduct a process and impact evaluation of the Veterans Moving Forward (VMF) program that was created by the San Diego County Sheriff's Department in partnership with the San Diego Veterans Administration (VA) in 2013. VMF is a veteran-only housing unit for male inmates who have served in the U.S. military. When the grant was written, experts in the field had noted that the population of veterans returning to the U.S. with numerous mental health issues, including post-traumatic stress disorder (PTSD), traumatic brain injury (TBI), and depression, were increasing and as a result, the number of veterans incarcerated in jails and prisons was also expected to increase. While numerous specialized courts for veterans had been implemented across the country at the time, veteran-specific housing units for those already sentenced to serve time in custody were rarer and no evaluations of these units had been published. Since this evaluation grant was awarded, the number of veteran-only housing units has increased, demonstrating the need for more evaluation information regarding lessons learned. A core goal when creating VMF was to structure an environment for veterans to draw upon the positive aspects of their shared military culture, create a safe place for healing and rehabilitation, and foster positive peer connections. There are several components that separate VMF from traditional housing with the general population that relate to the overall environment, the rehabilitative focus, and initiation of reentry planning as early as possible. These components include the selection of correctional staff with military backgrounds and an emphasis on building on their shared experience and connecting through it; a less restrictive and more welcoming environment that includes murals on the walls and open doors; no segregation of inmates by race/ethnicity; incentives including extended dayroom time and use of a microwave and coffee machine (under supervision); mandatory rehabilitative programming that focuses on criminogenic and other underlying risks and needs or that are quality of life focused, such as yoga, meditation, and art; a VMF Counselor who is located in the unit to provide one-on-one services to clients, as well as provide overall program management on a day-to-day basis; the regular availability of VA staff in the unit, including linkages to staff knowledgeable about benefits and other resources available upon reentry; and the guidance and assistance of a multi-disciplinary team (MDT) to support reentry transition for individuals needing additional assistance. The general criteria for housing in this veteran module includes: (1) not being at a classification level above a four, which requires a maximum level of custody; (2) not having less than 30 days to serve in custody; (3) no state or federal prison holds and/or prison commitments; (4) no fugitive holds; (5) no prior admittance to the psychiatric security unit or a current psychiatric hold; (6) not currently a Post-Release Community Supervision Offender serving a term of flash incarceration; (7) not in custody for a sex-related crime or requirement to register per Penal Code 290; (8) no specialized housing requirements including protective custody, administration segregation, or medical segregation; and (9) no known significant disciplinary incidents.

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Veera Korhonen (2025). U.S. share of homeless veterans 2024, by race [Dataset]. https://www.statista.com/topics/1279/veterans/
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U.S. share of homeless veterans 2024, by race

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 19, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Veera Korhonen
Area covered
United States
Description

In 2024, about one percent of the estimated number of homeless veterans in the United States were Native American or Pacific Islanders. In comparison, 52.1 percent were white and 31 percent were Black, African American, or African.

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