8 datasets found
  1. Twenty-one Percent of Veterans in Substance Abuse Treatment Were Homeless

    • catalog.data.gov
    • data.virginia.gov
    Updated Sep 6, 2025
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    Substance Abuse and Mental Health Services Administration (2025). Twenty-one Percent of Veterans in Substance Abuse Treatment Were Homeless [Dataset]. https://catalog.data.gov/dataset/twenty-one-percent-of-veterans-in-substance-abuse-treatment-were-homeless
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    Substance Abuse and Mental Health Services Administrationhttps://www.samhsa.gov/
    Description

    This Data Spotlight from the Treatment Episode Data Set (TEDS) discusses homelessness among military veterans who were admitted to substance abuse treatment during 2011, by age group.

  2. d

    National Data Archive on Child Abuse and Neglect

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Harvard Dataverse (2023). National Data Archive on Child Abuse and Neglect [Dataset]. http://doi.org/10.7910/DVN/9Y5OT2
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Description

    Users can request data and reports related, but not limited to child abuse, neglect, foster care, and child well-being. Background The National Data Archive on Child Abuse and Neglect collects data on the well-being of children. The archive is a project of the Family Life Development Center, Department of Human Ecology at Cornell University. The archive collects data sets from the The National Survey of Child Health and Well-being, The Adoption and Foster Care Analysis Reporting System, The National Child Abuse and Neglect Data System, and other data related to child abuse, neglect, victimization, m altreatment, sexual abuse, homelessness, and safety. User functionality Users can access abstracts of data sets which discuss the time period and logistics of collecting the data. There are different requirements for accessing different data sets. All requirements are clearly outlined. All data sets must be ordered through the National Data Archive on Child Abuse and Neglect. Application materials must be mailed to the archive for access permission. Requirements for access vary by amount of personal information included in the data set. Data Notes The chief investigator, the years of data collection and a description of the data set is available on the website for every data set. The website does not convey when new data sets will be added.

  3. H

    Local Supportive Housing Policy by Continuum of Care

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 26, 2020
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    Charley Willison (2020). Local Supportive Housing Policy by Continuum of Care [Dataset]. http://doi.org/10.7910/DVN/JUWDWY
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 26, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Charley Willison
    License

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

    Dataset funded by
    National Institutes of Mental Health
    Description

    A novel and comprehensive cross-sectional dataset (2017) was developed to document and measure municipal supportive housing policy choices and key political factors associated with these choices. The dataset is comprised of 232 municipalities of 354 municipal continuums of care (CoCs) from the HUD 2016 CoC database in order to control for cities directly receiving federal homeless funding. The final sample accounts for 66 percent of all CoCs in the U.S. Municipalities were chosen based on their inclusion in the HUD 2016 Point in Time (PIT) count survey, therefore selecting municipalities with a CoC that are receiving federal funding for homelessness solutions. This is a comprehensive, cross-sectional dataset of municipalities across the United States that includes measures of local homeless policies; measures of local political indicators including local policy conservatism, fragmentation, municipal governmental structure; other relevant social policies (Sanctuary City status, Medicaid expansion, state level supportive housing policy); local demographic characteristics; local economic factors.

  4. d

    Number and Percentage of court cases that are adjudicated within case...

    • catalog.data.gov
    • data.austintexas.gov
    • +2more
    Updated Oct 25, 2025
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    data.austintexas.gov (2025). Number and Percentage of court cases that are adjudicated within case processing time standards- DACC [Dataset]. https://catalog.data.gov/dataset/strategic-measure-number-and-percentage-of-court-cases-that-are-adjudicated-within-case-pr-0f02c
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    Dataset updated
    Oct 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    This measure calculates how long it takes to adjudicate a case from the time when the case was filed. The Downtown Austin Community Court (DACC) is dedicated to processing cases efficiently and in alignment with nationally established time standards to reduce delay and ensure timely justice, but cases related to individuals experiencing homelessness typically take longer than 180 days to adjudicate due to the case management activities associated with these cases. Case management activities include but are not limited to acquiring birth certificates, Social Security cards, accessing substance use, mental health and medical services and acquiring permanent housing. Cases related to non-homeless individuals are typically adjudicated within 30-180 days. DACC monitors the length of time it takes to process cases and makes necessary adjustments to ensure compliance with time standards. The dataset for court cases adjudicated within case processing time standards covers a time period of Fiscal years 2016-first quarter of Fiscal year 2020. Data source: court's electronic case management system Calculation: Numerator-case disposition date Denominator- the date the case was filed. Measure Time Period: Quarterly (Fiscal Year) Automated: no Date of last description update: 4/1/2020

  5. f

    Percent distribution of homeless individuals by duration of homelessness,...

    • figshare.com
    xls
    Updated Jul 24, 2024
    + more versions
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    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by duration of homelessness, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t004
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    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Megan Odd; Amir Erfani
    License

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

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by duration of homelessness, according to selected characteristics, Nipissing District, Ontario 2021.

  6. Percent distribution of homeless individuals by reason for housing loss,...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
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    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by reason for housing loss, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

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

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by reason for housing loss, according to selected characteristics, Nipissing District, Ontario 2021.

  7. g

    DRAFT S.D.5Number and Percentage of court cases that are adjudicated within...

    • gimi9.com
    Updated Apr 25, 2020
    + more versions
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    (2020). DRAFT S.D.5Number and Percentage of court cases that are adjudicated within case processing time standards- Downtown Austin Community Court | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_draft-s-d-5number-and-percentage-of-court-cases-that-are-adjudicated-within-case-processin/
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    Dataset updated
    Apr 25, 2020
    Area covered
    Austin
    Description

    The Downtown Austin Community Court (DACC) is dedicated to processing cases efficiently and in alignment with nationally established time standards to reduce delay and ensure timely justice, but cases related to individuals experiencing homelessness typically take longer than 180 days to adjudicate due to the case management activities associated with these cases. Case management activities include but are not limited to acquiring birth certificates, Social Security cards, accessing substance use, mental health and medical services and acquiring permanent housing. Cases related to non-homeless individuals are typically adjudicated within 30-180 days. DACC monitors the length of time it takes to process cases and makes necessary adjustments to ensure compliance with time standards.

  8. Percent distribution of homeless individuals by sleeping location, according...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
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    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by sleeping location, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

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

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by sleeping location, according to selected characteristics, Nipissing District, Ontario 2021.

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Substance Abuse and Mental Health Services Administration (2025). Twenty-one Percent of Veterans in Substance Abuse Treatment Were Homeless [Dataset]. https://catalog.data.gov/dataset/twenty-one-percent-of-veterans-in-substance-abuse-treatment-were-homeless
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Twenty-one Percent of Veterans in Substance Abuse Treatment Were Homeless

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 6, 2025
Dataset provided by
Substance Abuse and Mental Health Services Administrationhttps://www.samhsa.gov/
Description

This Data Spotlight from the Treatment Episode Data Set (TEDS) discusses homelessness among military veterans who were admitted to substance abuse treatment during 2011, by age group.

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