44 datasets found
  1. O

    Medical Examiner-Coroner, Unhoused (Homeless) Deaths dataset

    • data.sccgov.org
    application/rdfxml +5
    Updated Mar 27, 2025
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    Office of the Medical Examiner-Coroner's (2025). Medical Examiner-Coroner, Unhoused (Homeless) Deaths dataset [Dataset]. https://data.sccgov.org/w/kemd-3zbq/default?cur=KRD3GY8OK3z;
    Explore at:
    json, xml, application/rssxml, application/rdfxml, csv, tsvAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Office of the Medical Examiner-Coroner's
    Description

    Note: This Dataset is updated nightly and contains all downloadable Medical Examiner-Coroner records, January 1, 2018 to current, related to deaths that occurred in the County of Santa Clara under the Medical Examiner-Coroner’s jurisdiction and those deaths reportable to the Medical Examiner-Coroner (non-jurisdictional cases/NJA) but in which the office did not assume jurisdiction.

    The Santa Clara County Medical Examiner- Coroner’s Office determines cause and manner of death for those deaths that fall under the jurisdiction of the Medical Examiner-Coroner, as defined by California Government code 27491.

    The Medical Examiner-Coroner will not be responsible for data verification, interpretation or misinformation once data has been downloaded and manipulated from the dashboard.

    Refer to the following document to know more of which deaths are reportable: https://medicalexaminer.sccgov.org/sites/g/files/exjcpb986/files/Reportable%20Death%20Chart%202018.pdf.

  2. d

    Directory Of Homeless Population By Year

    • catalog.data.gov
    • nycopendata.socrata.com
    • +2more
    Updated Sep 2, 2023
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    data.cityofnewyork.us (2023). Directory Of Homeless Population By Year [Dataset]. https://catalog.data.gov/dataset/directory-of-homeless-population-by-year
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    Table of homeless population by Year (for years 2009 through 2012)

  3. c

    Homelessness and COVID-19

    • s.cnmilf.com
    • data.kingcounty.gov
    • +2more
    Updated Feb 2, 2024
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    data.kingcounty.gov (2024). Homelessness and COVID-19 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/homelessness-and-covid-19
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    data.kingcounty.gov
    Description

    Updated every Thursday People experiencing homelessness are at risk for infection through community spread of COVID-19. The data below describes impacts of COVID-19 on individuals who are experiencing homelessness, whether they are able to access a congregate shelter or unsheltered (sleeping outside or in places not meant for human habitation). For COVID-19 investigation purposes, people experiencing homelessness are defined as those who have lived on the streets or stayed in a shelter, vehicle, abandoned building, encampment, tiny house village/tent city, or supportive housing program (transitional or permanent supportive) at any time during the 12 months prior to COVID-19 testing, without evidence that they were otherwise permanently housed. Public Health, the Department of Community and Human Services, homeless service providers, healthcare providers, and the City of Seattle have partnered for increased testing in this community.

  4. h

    Homelessness Report November 2024 - Dataset - DHLGH Open Data

    • opendata.housing.gov.ie
    Updated Nov 18, 2024
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    (2024). Homelessness Report November 2024 - Dataset - DHLGH Open Data [Dataset]. https://opendata.housing.gov.ie/dataset/homelessness-report-november-2024
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    Dataset updated
    Nov 18, 2024
    Description

    Homelessness data Official homelessness data is produced by local authorities through the Pathway Accommodation and Support System (PASS). PASS was rolled-out nationally during the course of 2013. The Department’s official homelessness statistics are published on a monthly basis and refer to the number of homeless persons accommodated in emergency accommodation funded and overseen by housing authorities during a specific count week, typically the last full week of the month. The reports are produced through the Pathway Accommodation & Support System (PASS), collated on a regional basis and compiled and published by the Department. Homelessness reporting commenced in this format in 2014. The format of the data may change or vary over time due to administrative and/or technology changes and improvements. The administration of homeless services is organised across nine administrative regions, with one local authority in each of the regions, “the lead authority”, having overall responsibility for the disbursement of Exchequer funding. In each region a Joint Homelessness Consultative Forum exists which includes representation from the relevant State and non-governmental organisations involved in the delivery of homeless services in a particular region. Delegated arrangements are governed by an annually agreed protocol between the Department and the lead authority in each region. These protocols set out the arrangements, responsibilities and financial/performance data reporting requirements for the delegation of funding from the Department. Under Sections 38 and 39 of the Housing (Miscellaneous Provisions) Act 2009 a statutory Management Group exists for each regional forum. This is comprised of representatives from the relevant housing authorities and the Health Service Executive, and it is the responsibility of the Management Group to consider issues around the need for homeless services and to plan for the implementation, funding and co-ordination of such services. In relation to the terms used in the report for the accommodation types see explanation below: PEA - Private Emergency Accommodation: this may include hotels, B&Bs and other residential facilities that are used on an emergency basis. Supports are provided to services users on a visiting supports basis. STA - Supported Temporary Accommodation: accommodation, including family hubs, hostels, with onsite professional support. TEA - Temporary Emergency Accommodation: emergency accommodation with no (or minimal) support.

  5. O

    Strategic Measure_Number and percentage of persons who successfully exit...

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +2more
    application/rdfxml +5
    Updated Apr 22, 2022
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    City of Austin, Texas - data.austintexas.gov (2022). Strategic Measure_Number and percentage of persons who successfully exit from homelessness [Dataset]. https://data.austintexas.gov/Health-and-Community-Services/Strategic-Measure_Number-and-percentage-of-persons/3yhd-8eiv
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    tsv, xml, csv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Apr 22, 2022
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This dataset represents the number of persons who successfully exit from homelessness in a given fiscal year in the Austin/Travis County Continuum of Care (CoC). This measure is comprised of Metric 7b1 and 7b2 from the HUD System Performance Measures.

    Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level.

    View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/xtip-he7k

  6. C

    People Receiving Homeless Response Services by Age, Race, and Gender

    • data.ca.gov
    csv, docx
    Updated Feb 6, 2025
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    California Interagency Council on Homelessness (2025). People Receiving Homeless Response Services by Age, Race, and Gender [Dataset]. https://data.ca.gov/dataset/homelessness-demographics
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    docx(26383), csv(69161), csv(19206), csv(241963), csv(47665), csv(23863), csv(140751)Available download formats
    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    California Interagency Council on Homelessness
    License

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

    Description

    Yearly statewide and by-Continuum of Care total counts of individuals receiving homeless response services by age group, race, and gender.

    This data comes from the Homelessness Data Integration System (HDIS), a statewide data warehouse which compiles and processes data from all 44 California Continuums of Care (CoC)—regional homelessness service coordination and planning bodies. Each CoC collects data about the people it serves through its programs, such as homelessness prevention services, street outreach services, permanent housing interventions and a range of other strategies aligned with California’s Housing First objectives.

    The dataset uploaded reflects the 2024 HUD Data Standard Changes. Previously, Race and Ethnicity are separate files but are now combined.

    Information updated as of 2/06/2025.

  7. d

    Homelessness Report January 2025

    • datasalsa.com
    • data.europa.eu
    csv
    Updated Feb 28, 2025
    + more versions
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    Department of Housing, Local Government, and Heritage (2025). Homelessness Report January 2025 [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=homelessness-report-january-2025
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Department of Housing, Local Government, and Heritage
    License

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

    Time period covered
    Feb 28, 2025
    Description

    Homelessness Report January 2025. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0).Homelessness data Official homelessness data is produced by local authorities through the Pathway Accommodation and Support System (PASS). PASS was rolled-out nationally during the course of 2013. The Department’s official homelessness statistics are published on a monthly basis and refer to the number of homeless persons accommodated in emergency accommodation funded and overseen by housing authorities during a specific count week, typically the last full week of the month. The reports are produced through the Pathway Accommodation & Support System (PASS), collated on a regional basis and compiled and published by the Department. Homelessness reporting commenced in this format in 2014. The format of the data may change or vary over time due to administrative and/or technology changes and improvements. The administration of homeless services is organised across nine administrative regions, with one local authority in each of the regions, “the lead authority”, having overall responsibility for the disbursement of Exchequer funding. In each region a Joint Homelessness Consultative Forum exists which includes representation from the relevant State and non-governmental organisations involved in the delivery of homeless services in a particular region. Delegated arrangements are governed by an annually agreed protocol between the Department and the lead authority in each region. These protocols set out the arrangements, responsibilities and financial/performance data reporting requirements for the delegation of funding from the Department. Under Sections 38 and 39 of the Housing (Miscellaneous Provisions) Act 2009 a statutory Management Group exists for each regional forum. This is comprised of representatives from the relevant housing authorities and the Health Service Executive, and it is the responsibility of the Management Group to consider issues around the need for homeless services and to plan for the implementation, funding and co-ordination of such services. In relation to the terms used in the report for the accommodation types see explanation below: PEA - Private Emergency Accommodation: this may include hotels, B&Bs and other residential facilities that are used on an emergency basis. Supports are provided to services users on a visiting supports basis. STA - Supported Temporary Accommodation: accommodation, including family hubs, hostels, with onsite professional support. TEA - Temporary Emergency Accommodation: emergency accommodation with no (or minimal) support....

  8. Deaths of homeless people in England and Wales

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Nov 23, 2022
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    Office for National Statistics (2022). Deaths of homeless people in England and Wales [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsofhomelesspeopleinenglandandwales
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    xlsxAvailable download formats
    Dataset updated
    Nov 23, 2022
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Wales
    Description

    The number of deaths of homeless people in England and Wales, by sex, five-year age group and underlying cause of death, 2013 to 2021 registrations. Experimental Statistics.

  9. Homelessness Report January 2025 - Dataset - data.gov.ie

    • data.gov.ie
    Updated Jan 20, 2025
    + more versions
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    data.gov.ie (2025). Homelessness Report January 2025 - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/homelessness-report-january-2025
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    data.gov.ie
    License

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

    Description

    Homelessness data Official homelessness data is produced by local authorities through the Pathway Accommodation and Support System (PASS). PASS was rolled-out nationally during the course of 2013. The Department’s official homelessness statistics are published on a monthly basis and refer to the number of homeless persons accommodated in emergency accommodation funded and overseen by housing authorities during a specific count week, typically the last full week of the month. The reports are produced through the Pathway Accommodation & Support System (PASS), collated on a regional basis and compiled and published by the Department. Homelessness reporting commenced in this format in 2014. The format of the data may change or vary over time due to administrative and/or technology changes and improvements. The administration of homeless services is organised across nine administrative regions, with one local authority in each of the regions, “the lead authority”, having overall responsibility for the disbursement of Exchequer funding. In each region a Joint Homelessness Consultative Forum exists which includes representation from the relevant State and non-governmental organisations involved in the delivery of homeless services in a particular region. Delegated arrangements are governed by an annually agreed protocol between the Department and the lead authority in each region. These protocols set out the arrangements, responsibilities and financial/performance data reporting requirements for the delegation of funding from the Department. Under Sections 38 and 39 of the Housing (Miscellaneous Provisions) Act 2009 a statutory Management Group exists for each regional forum. This is comprised of representatives from the relevant housing authorities and the Health Service Executive, and it is the responsibility of the Management Group to consider issues around the need for homeless services and to plan for the implementation, funding and co-ordination of such services. In relation to the terms used in the report for the accommodation types see explanation below: PEA - Private Emergency Accommodation: this may include hotels, B&Bs and other residential facilities that are used on an emergency basis. Supports are provided to services users on a visiting supports basis. STA - Supported Temporary Accommodation: accommodation, including family hubs, hostels, with onsite professional support. TEA - Temporary Emergency Accommodation: emergency accommodation with no (or minimal) support.

  10. d

    Homelessness (Survey of Homeless) - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 22, 2023
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    (2023). Homelessness (Survey of Homeless) - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/86195dfd-f8fb-5f0b-855f-c976e15da1cc
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    Dataset updated
    Oct 22, 2023
    Description

    The social situation of the homeless in a Cologne suburb. Topics: Most important problems in the settlement; problems in the relationship between the settlement and surroundings; plans to leave; length of residence in the settlement and year of first utilization of a city shelter; reason for admission into a city shelter; type of quarters on first admission and before admission; frequency of moving into such accomodations and settlements; perceived deterioration from the move; number of rooms; possession of durable economic goods; defects in residence; number of children and schools attended or kindergarten; attitude to establishment of a special school in the part of town; perceived discrimination of one´s children in school; regular pocket-money for the children; place of leisure time of one´s children; contacts of one´s children outside of the settlement; person raising the children; perceived discrimination of the homeless; exercise of an honorary activity in the settlement; attitude to a self-help committee in the settlement; interest in participation in such a committee; assumed effectiveness of a community of interests of the homeless; most important tasks of such a community of interests; most important institutions as contact to improve the situation of the homeless; location of place of work; frequency of change of job; change of occupation; satisfaction with place of work; shopping place; possession of savings; manager of family income; decision-maker for expenditures; debts; eating main meal together; leisure activities in the settlement; contact persons in leisure time; leisure contacts outside the settlement; neighborhood contacts in the settlement; contacts with non-homeless; establishing these contacts on leisure time or through work; identification as Cologne resident or resident of the part of town; desire to move to another part of town; favorite part of town in Cologne; intensity of contact with the population in the part of town; contacts with residents of another settlement; participation in meetings of the Poll Buergerverein; assumed representation of interests of the homeless through this organization; most influencial personalities in the part of town; persons making a particular effort for the homeless; most important differences between the residents of one´s own settlement and another settlement in the part of town; knowledge of press reports and television reports about the homeless and judgement on validity; most important reasons for homelessness; most important measures to prevent homelessness; perceived differences between the homeless; filing a complaint against the city to obtain better housing; experiences with contacts with authorities; satisfaction with the manager of the settlement; most important task of a manager; anomy (scale); comparison of personal housing situation with that of parents; social origins; social mobility compared with father and father-in-law; contacts with relatives; judgement of relatives about living in this settlement; relatives likewise living in emergency shelters; personal condition of health; number of sick family members and type of illnesses; recommendations on dealing with the homeless; society or the individual as responsible for one´s own homelessness; desire for integration in a normal residential area; personal extent of commiting crimes and conviction; type of offenses; perceived improvement in living conditions in the emergency shelter; comparison of the situation between the settlement and a temporary shelter; place of birth; length of residence in Cologne; re-married; religiousness; club memberships; extent of club activity; party preference; assumed effectiveness of this survey on the situation of the homeless. Interviewer rating: name sign on door; description of residential furnishings regarding family pictures, other pictures, knick-knacks, religious figures and possession of books; condition of windows, wallpaper and furniture; length of interview; number of persons present during interview; carrying out house work by the person interviewed during the interview; conduct of other persons present during the conversation; willingness of respondent to cooperate. Die soziale Situation von Obdachlosen in einem Kölner Vorort. Themen: Wichtigste Probleme in der Siedlung; Probleme im Verhältnis zwischen Siedlung und Umgebung; Auszugspläne; Wohndauer in der Siedlung und Jahr der ersten Inanspruchnahme einer städtischen Unterkunft; Grund für die Einweisung in eine städtische Unterkunft; Unterkunftstyp bei der ersten Einweisung und vor der Einweisung; Umzugshäufigkeit in solchen Unterkünften und Siedlungen; empfundene Verschlechterung durch den Umzug; Wohnraumzahl; Besitz langlebiger Wirtschaftsgüter; Schäden in der Wohnung; Kinderzahl und besuchte Schulen bzw. Kindergärten; Einstellung zur Einrichtung einer Sonderschule im Stadtteil; empfundene Diskriminierung der Kinder in der Schule; regelmäßiges Taschengeld für die Kinder; Freizeitort der Kinder; Kontakte der Kinder außerhalb der Siedlung; Erziehungsperson für die Kinder; empfundene Diskriminierung der Obdachlosen; Ausüben einer ehrenamtlichen Tätigkeit in der Siedlung; Einstellung zu einem Selbsthilfekomitee in der Siedlung; Interesse an der Beteiligung in einem solchen Komitee; vermutete Wirksamkeit einer Interessengemeinschaft der Obdachlosen; wichtigste Aufgaben einer solchen Interessengemeinschaft; wichtigste Institutionen als Ansprechpartner zur Verbesserung der Situation der Obdachlosen; Ortslage der Arbeitsstätte; Häufigkeit von Arbeitsplatzwechsel; Berufswechsel; Zufriedenheit mit der Arbeitsstelle; Einkaufsort; Besitz von Ersparnissen; Verwalter des Familieneinkommens; Entscheider über Ausgaben; Schulden; gemeinsame Einnahme der Hauptmahlzeit; Freizeitaktivitäten in der Siedlung; Kontaktpersonen in der Freizeit; Freizeitkontakte außerhalb der Siedlung; Nachbarschaftskontakte in der Siedlung; Kontakte zu Nichtobdachlosen; Aufnahme dieser Kontakte in der Freizeit oder durch die Arbeit; Identifikation als Kölner oder Bewohner des Stadtteils; Umzugswunsch in einen anderen Stadtteil; beliebtester Stadtteil in Köln; Intensität des Kontaktes zur Bevölkerung im Stadtteil; Kontakte zu Bewohnern einer anderen Siedlung; Beteiligung an Versammlungen des Poller Bürgervereins; vermutete Interessenvertretung der Obdachlosen durch diesen Verein; einflußreichste Persönlichkeiten im Stadtteil; Personen, die sich besonders für die Obdachlosen einsetzen; wichtigste Unterschiede zwischen den Bewohnern der eigenen Siedlung und einer weiteren Siedlung im Stadtteil; Kenntnis von Presseberichten und Fernsehberichten über die Obdachlosen und Beurteilung des Wahrheitsgehaltes; wichtigste Gründe für Obdachlosigkeit; wichtigste Vorbeugungsmaßnahmen zur Verhinderung von Obdachlosigkeit; perzipierte Unterschiede zwischen Obdachlosen; Beschwerdeführung gegen die Stadt zur Bereitstellung einer besseren Wohnung; Erfahrungen mit Behördenkontakten; Zufriedenheit mit dem Verwalter der Siedlung; wichtigste Aufgabe eines Verwalters; Anomie (Skala); Vergleich der eigenen Wohnsituation mit der der Eltern; soziale Herkunft; soziale Mobilität gegenüber dem Vater und dem Schwiegervater; Verwandtschaftskontakte; Urteil der Verwandtschaft über das Wohnen in dieser Siedlung; Verwandte, die ebenfalls in Notunterkünften leben; eigener Gesundheitszustand; Zahl der erkrankten Familienmitglieder und Art der Krankheiten; Vorschläge zur Behandlung von Obdachlosen; Gesellschaft oder Individuum als Verantwortlicher für die eigene Obdachlosigkeit; Wunsch nach Integration in eine normale Wohngegend; eigene Straffälligkeit und Verurteilung; Art der Delikte; empfundene Verbesserung der Lebensbedingungen in der Notunterkunft; Vergleich der Situation zwischen der Siedlung und einem Übergangshaus; Geburtsort; Wohndauer in Köln; wiederverheiratet; Religiosität; Vereinsmitgliedschaften; Umfang der Vereinstätigkeit; Parteipräferenz; vermutete Wirksamkeit dieser Befragung auf die Situation der Obdachlosen. Demographie: Alter; Geschlecht; Familienstand; Kirchgangshäufigkeit; Schulbildung; Berufstätigkeit; Einkommen. Interviewerrating: Namensschild an der Tür; Beschreibung der Wohnungseinrichtung bezüglich Familienbilder, sonstiger Bilder, Nippfiguren, religiöser Figuren und Bücherbesitz; Zustand der Fenster, Tapeten und Möbel; Interviewdauer; Anzahl der anwesenden Personen beim Interview; Erledigung von Haushaltsarbeiten der befragten Person während des Interviews; Verhalten der übrigen Anwesenden während des Gesprächs; Kooperationsbereitschaft des Befragten.

  11. T

    Homeless Persons Who Regain Housing

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    application/rdfxml +5
    Updated Mar 26, 2025
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    PIerce County Human Services (2025). Homeless Persons Who Regain Housing [Dataset]. https://internal.open.piercecountywa.gov/Social-Services/Homeless-Persons-Who-Regain-Housing/qghi-2efp
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    tsv, application/rssxml, xml, csv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Mar 26, 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.

  12. Tables on homelessness

    • gov.uk
    Updated Feb 27, 2025
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    Tables on homelessness [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-homelessness
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    Dataset updated
    Feb 27, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Statutory homelessness live tables

    Statutory homelessness England Level Time Series

    https://assets.publishing.service.gov.uk/media/67bdd6bc44ceb49381213c61/StatHomeless_202409.ods">Statutory homelessness England level time series "live tables"

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">306 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    Detailed local authority-level tables

    For quarterly local authority-level tables prior to the latest financial year, see the Statutory homelessness release pages.

    https://assets.publishing.service.gov.uk/media/67bdd57b89b4a58925ac6d17/Detailed_LA_202409.xlsx">Statutory homelessness in England: July to September 2024

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">2.24 MB</span></p>
    
    
    
    
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    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:alternativeformats@communities.gov.uk" target="_blank" class="govuk-link">alternativeformats@communities.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
    

    <section data-mo

  13. d

    Strategic Measure_Number of persons experiencing homelessness - Point in...

    • catalog.data.gov
    • datahub.austintexas.gov
    • +1more
    Updated Aug 25, 2024
    + more versions
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    data.austintexas.gov (2024). Strategic Measure_Number of persons experiencing homelessness - Point in Time Count [Dataset]. https://catalog.data.gov/dataset/strategic-measure-number-of-persons-experiencing-homelessness-point-in-time-count
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset provided by
    data.austintexas.gov
    Description

    This dataset provides information on individuals experiencing sheltered or unsheltered homelessness in the Austin/Travis County Continuum of Care (CoC) on a single night in January when the Point in Time (PIT) Count occurs. "Sheltered" homelessness refers to individuals residing in emergency shelter, safe haven, or transitional housing project types. Unsheltered homelessness refers to individuals with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings, including a car, park, abandoned building, bus or train station, airport, or camping ground on the night designated for the count. This measure overlaps, but is different from, the annual count of sheltered homelessness in HMIS (SD23 Measure EOA.E.1b). Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/hjiv-t2tm Last Updated December 2020 with data for 2020 PIT Count.

  14. A

    ‘COVID-19 Cases by Population Characteristics Over Time’ analyzed by...

    • analyst-2.ai
    Updated Jul 23, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘COVID-19 Cases by Population Characteristics Over Time’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-covid-19-cases-by-population-characteristics-over-time-097d/latest
    Explore at:
    Dataset updated
    Jul 23, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘COVID-19 Cases by Population Characteristics Over Time’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a3291d85-0076-43c5-a59c-df49480cdc6d on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Note: On January 22, 2022, system updates to improve the timeliness and accuracy of San Francisco COVID-19 cases and deaths data were implemented. You might see some fluctuations in historic data as a result of this change. Due to the changes, starting on January 22, 2022, the number of new cases reported daily will be higher than under the old system as cases that would have taken longer to process will be reported earlier.

    A. SUMMARY This dataset shows San Francisco COVID-19 cases by population characteristics and by specimen collection date. Cases are included on the date the positive test was collected.

    Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how cases have been distributed among different subgroups. This information can reveal trends and disparities among groups.

    Data is lagged by five days, meaning the most recent specimen collection date included is 5 days prior to today. Tests take time to process and report, so more recent data is less reliable.

    B. HOW THE DATASET IS CREATED Data on the population characteristics of COVID-19 cases and deaths are from: * Case interviews * Laboratories * Medical providers

    These multiple streams of data are merged, deduplicated, and undergo data verification processes. This data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. Daily case totals on previous days may increase or decrease. Learn more.

    Data are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19.

    Data notes on each population characteristic type is listed below.

    Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups.

    Sexual orientation * Sexual orientation data is collected from individuals who are 18 years old or older. These individuals can choose whether to provide this information during case interviews. Learn more about our data collection guidelines. * The City began asking for this information on April 28, 2020.

    Gender * The City collects information on gender identity using these guidelines.

    Comorbidities * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death.

    Transmission type * Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown.

    Homelessness Persons are identified as homeless based on several data sources: * self-reported living situation
    * the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures.
    These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions.

    Skilled Nursing Facility (SNF) occupancy * A Skilled Nursing

    --- Original source retains full ownership of the source dataset ---

  15. d

    Strategic Measure_Number of persons who have not been served by the...

    • catalog.data.gov
    • datahub.austintexas.gov
    • +2more
    Updated Aug 25, 2024
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    data.austintexas.gov (2024). Strategic Measure_Number of persons who have not been served by the community’s homeless system in the two years prior to entry into the homeless system [Dataset]. https://catalog.data.gov/dataset/strategic-measure-number-of-persons-who-have-not-been-served-by-the-communitys-homeless-sy
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset provided by
    data.austintexas.gov
    Description

    This dataset represents the number of persons who are experiencing homelessness for the first time in a fiscal year (October 1 - September 30) in the Austin/Travis County Continuum of Care (CoC). Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/wk3t-h5qe

  16. Hospital Encounters for Homeless Patients

    • data.chhs.ca.gov
    • data.ca.gov
    • +1more
    csv, xlsx, zip
    Updated Feb 24, 2025
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    Department of Health Care Access and Information (2025). Hospital Encounters for Homeless Patients [Dataset]. https://data.chhs.ca.gov/dataset/hospital-encounters-for-homeless-patients
    Explore at:
    csv(1897), zip, csv(4390123), csv(902), csv(2321), xlsx(2449806), csv(1900)Available download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    This dataset contains counts of inpatient hospitalizations and emergency department visits for persons experiencing homelessness.

  17. O

    Homelessness Point in Time Count

    • data.norfolk.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Dec 12, 2024
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    The Planning Council (2024). Homelessness Point in Time Count [Dataset]. https://data.norfolk.gov/dataset/Homelessness-Point-in-Time-Count/4crf-zrb8
    Explore at:
    json, application/rssxml, csv, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    The Planning Council
    Description

    Each year, homeless coalitions across the country conduct a Point in Time Count (PIT) during the same 24-hour period in January to estimate the number of persons experiencing homelessness living in their region. The PIT count includes those living in emergency shelters, transitional housing programs, and those living unsheltered on the street. The PIT count does not include homeless families and youth who are doubled up with family or friends, or those at imminent risk of becoming homeless. The numbers are a “snapshot” on a single day rather than a definitive count. Despite these limitations, the count helps communities plan for programs and services, identifies gaps in the homeless system, and provides demographic information about populations who experience homelessness.

    This dataset includes key measures that have been counted during each PIT since 2019. This dataset will be updated annually.

  18. Deaths of homeless people in England and Wales – local authority estimates

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 25, 2019
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    Office for National Statistics (2019). Deaths of homeless people in England and Wales – local authority estimates [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsofhomelesspeopleinenglandandwaleslocalauthorityestimates
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    xlsxAvailable download formats
    Dataset updated
    Feb 25, 2019
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England, Wales
    Description

    Annual Experimental Statistics on the number of deaths of homeless people in England and Wales at local authority level. Deaths registered in 2013 to 2017.

  19. d

    Strategic Measure_Number of persons experiencing homelessness - Annual...

    • catalog.data.gov
    • datahub.austintexas.gov
    • +2more
    Updated Aug 25, 2024
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    data.austintexas.gov (2024). Strategic Measure_Number of persons experiencing homelessness - Annual Sheltered HMIS Count [Dataset]. https://catalog.data.gov/dataset/strategic-measure-number-of-persons-experiencing-homelessness-annual-sheltered-hmis-count
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset provided by
    data.austintexas.gov
    Description

    This dataset provides information on individuals experiencing sheltered homelessness in the Austin/Travis County Continuum of Care (CoC) in a given fiscal year. "Sheltered" homelessness refers to individuals residing in emergency shelter, safe haven, or transitional housing project types. This measure overlaps, but is different from, the Point in Time (PIT) Count (SD23 Measure EOA.E.1a), which is a snapshot of both sheltered and unsheltered homelessness on one night in January. Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/2ejn-hrh2

  20. V

    Homeless Public School Students

    • data.virginia.gov
    csv, json, rdf, xsl
    Updated Oct 7, 2024
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    City of Norfolk (2024). Homeless Public School Students [Dataset]. https://data.virginia.gov/dataset/homeless-public-school-students
    Explore at:
    xsl, rdf, json, csvAvailable download formats
    Dataset updated
    Oct 7, 2024
    Dataset provided by
    data.norfolk.gov
    Authors
    City of Norfolk
    Description

    The McKinney-Vento Homeless Assistance Act is federal legislation that ensures educational rights and protection for youth and children experiencing homelessness. According to federal legislation, any child who lacks a fixed, regular, and adequate nighttime residence is considered homeless. If a student is found eligible for services under the McKinney-Vento Act, Norfolk Public Schools can provide transportation, free meals, clothing and school supplies, and referrals to local resources.

    This dataset includes, by school year, the total number of students enrolled in Norfolk Public Schools that are identified as homeless. The data is pulled from Virginia’s Program for the Education of Homeless Children and Youth: Project HOPE-Virginia. This dataset will be updated annually.

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Office of the Medical Examiner-Coroner's (2025). Medical Examiner-Coroner, Unhoused (Homeless) Deaths dataset [Dataset]. https://data.sccgov.org/w/kemd-3zbq/default?cur=KRD3GY8OK3z;

Medical Examiner-Coroner, Unhoused (Homeless) Deaths dataset

Explore at:
json, xml, application/rssxml, application/rdfxml, csv, tsvAvailable download formats
Dataset updated
Mar 27, 2025
Dataset authored and provided by
Office of the Medical Examiner-Coroner's
Description

Note: This Dataset is updated nightly and contains all downloadable Medical Examiner-Coroner records, January 1, 2018 to current, related to deaths that occurred in the County of Santa Clara under the Medical Examiner-Coroner’s jurisdiction and those deaths reportable to the Medical Examiner-Coroner (non-jurisdictional cases/NJA) but in which the office did not assume jurisdiction.

The Santa Clara County Medical Examiner- Coroner’s Office determines cause and manner of death for those deaths that fall under the jurisdiction of the Medical Examiner-Coroner, as defined by California Government code 27491.

The Medical Examiner-Coroner will not be responsible for data verification, interpretation or misinformation once data has been downloaded and manipulated from the dashboard.

Refer to the following document to know more of which deaths are reportable: https://medicalexaminer.sccgov.org/sites/g/files/exjcpb986/files/Reportable%20Death%20Chart%202018.pdf.

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