7 datasets found
  1. c

    Top 15 States by Estimated Number of Homeless People in 2024

    • consumershield.com
    csv
    Updated Jun 9, 2025
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    ConsumerShield Research Team (2025). Top 15 States by Estimated Number of Homeless People in 2024 [Dataset]. https://www.consumershield.com/articles/how-many-homeless-us
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    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

    The graph displays the top 15 states by an estimated number of homeless people in the United States for the year 2025. The x-axis represents U.S. states, while the y-axis shows the number of homeless individuals in each state. California has the highest homeless population with 187,084 individuals, followed by New York with 158,019, while Hawaii places last in this dataset with 11,637. This bar graph highlights significant differences across states, with some states like California and New York showing notably higher counts compared to others, indicating regional disparities in homelessness levels across the country.

  2. w

    Data from: Homeless Shelters

    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Feb 6, 2017
    + more versions
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    City of Baltimore (2017). Homeless Shelters [Dataset]. https://data.wu.ac.at/schema/data_gov/MWE4Y2Q5ZDctMzZiOC00OGY3LWEwNDYtNjgzZGNjY2VjMGVi
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    json, csv, rdf, xmlAvailable download formats
    Dataset updated
    Feb 6, 2017
    Dataset provided by
    City of Baltimore
    Description

    This data set shows the location of Baltimore City's Tansitional and Emergency "Homeless" Shelter Facilities. However, this is not a complete list. It is the most recent update (2008), and is subjected to change. The purpose of this data set is to aid Baltimore City organizations to best identify facilities to aid the homeless population. The data is broken down into two categories: Emergency Shelter and Transitional Housing. Please find the two definitions below. The first is simply ��_��_��_shelter��_�� and the second is a more involved program that is typically a longer stay. Emergency Shelter: Any facility with overnight sleeping accommodations, the primary purpose of which is to provide temporary shelter for the homeless in general or for specific populations of homeless persons. The length of stay can range from one night up to as much as six months. Transitional Housing: a project that is designed to provide housing and appropriate support services to homeless persons to facilitate movement to independent living within 24 months. These data set was provided by Greg Sileo, Director of the Mayor's Office of Baltimore Homeless Services.

  3. Tables on homelessness

    • gov.uk
    Updated Nov 27, 2025
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    Ministry of Housing, Communities and Local Government (2025). Tables on homelessness [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-homelessness
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    Dataset updated
    Nov 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/6925ffcd2945773cf12dd09f/Statutory_Homelessness_England_Time_Series_2024-25.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">325 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/6925ff49aca6213a492dd0a1/Statutory_Homelessness_Detailed_Local_Authority_Data_2024-2025.ods">Detailed local authority level tables: financial year 2024-25

     <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">1.27 MB</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
    

    https://assets.publishing.service.gov.uk/media/68ee42a2a8398380cb4ad058/Statutory_Homelessness_Detailed_Local_Authority_Data_202506.ods"> <svg class="gem-c-attachment_thumbnail-image gem-c-attachment_thumbnail-image--spreadsheet" version="1.1" viewbox="0 0 99 140" width="99" height="140" aria-hidden="tru

  4. d

    Number of People Experiencing Homelessness

    • data.ore.dc.gov
    Updated Aug 20, 2024
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    City of Washington, DC (2024). Number of People Experiencing Homelessness [Dataset]. https://data.ore.dc.gov/datasets/number-of-people-experiencing-homelessness
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    Dataset updated
    Aug 20, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Description

    The most recent rate of homelessness is calculated using ACS population estimates from the previous year, unless otherwise noted.

    Data Source: HUD's Annual Homeless Assessment Report (AHAR) Point-in-Time (PIT) Estimates by State and American Community Survey (ACS) 1-Year Estimates

    Why this MattersSafe, adequate, and stable housing is a human right and essential for the health and well-being of individuals, families, and communities.People who experience homelessness also struggle to maintain access to healthcare, employment, education, healthy relationships, and other basic necessities in life, according to the DC Interagency Council on Homelessness Strategic Plan.BIPOC populations are disproportionately affected by homelessness due to housing discrimination, mass incarceration, and other policies that have limited socioeconomic opportunities for Black, Latino, and other people of color.

    The District's Response Strategic investments in proven strategies for driving down homelessness, including the Career Mobility Action Plan (Career MAP) program, operation of non-congregate housing, and expansion of the District’s shelter capacity.Homelessness prevention programs for at-risk individuals and families, such as emergency rental assistance, targeted affordable housing, and permanent supporting housing.Programs and services to enhance resident’s economic and employment security and ensure access to affordable housing.

  5. f

    Data_Sheet_2_A Comprehensive Assessment to Enable Recovery of the Homeless:...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jul 9, 2021
    + more versions
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    Van Der Velden, Koos; Delespaul, Philippe A. E. G.; Van Everdingen, Coline; Peerenboom, Peter Bob (2021). Data_Sheet_2_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000862878
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    Dataset updated
    Jul 9, 2021
    Authors
    Van Der Velden, Koos; Delespaul, Philippe A. E. G.; Van Everdingen, Coline; Peerenboom, Peter Bob
    Description

    Background: Homelessness is an increasing problem in Western European countries. In the Netherlands, policy reforms and austerity measures induced an urgent need for management information on local homeless citizens. Municipal authorities initiated cross-sectional reviews of Homeless Service (HS) users. The resulting Homeless People Treatment and Recovery (HOP-TR) study developed a health and needs assessment strategy over different domains to comprehensively assess individuals and care networks with the perspective on recovery.Methods: Dutch HS users were selected using a naturalistic meta-snowball sampling. Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” Using the raw interview data, algorithmic summary scores were computed and integrating clinical parameters assessed. The data describe health and needs in a rights-based, recovery-oriented frame of reference. The mental health approach is transdiagnostic. The positive health framework is used for structuring health and needs aspects in relation to the symptomatic (physical and mental health), social (daily living, social participation), and personal (quality of life, meaning) dimensions of recovery.Results: Recruitment (between 2015 and 2017) resulted in a saturated sample of 436 HS users in 16 facilities and seven cities. Most participants were long-term or intermittently homeless. The sample characteristics reveal the multi domain character of needs and the relevance of a broad, comprehensive approach. Local authorities used the reports to reflect and discuss needs, care provision, access, and network cooperation. These dialogs incited to improve the quality of care at various ecosystem levels.Discussion: This paper describes new recruitment strategies and data collections of comprehensive data domains, to improve our knowledge in the field of homelessness. Traditional epidemiological literature on homelessness is often domain specific and relies on administrative sources. The HOP-TR study uses an analytical epidemiological approach. It shifts the assessment focus from problem-centered marginalization processes toward a comprehensive, three-dimensional recovery-oriented vision of health. Different perspectives are integrated to explore the interaction of homeless people with care networks.

  6. O

    Unsheltered Point in Time (PIT) Count Phoenix Metro Area

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    Updated Oct 27, 2025
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    Maricopa Association of Governments (MAG) (2025). Unsheltered Point in Time (PIT) Count Phoenix Metro Area [Dataset]. https://data.mesaaz.gov/w/jagk-fkkw/c963-au5t?cur=qAuNldFkdo6
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    kmz, application/geo+json, xml, csv, xlsx, kmlAvailable download formats
    Dataset updated
    Oct 27, 2025
    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">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.

    **Mesa 2025 Data: 6 interactions documented in cities outside of Mesa. Geolocation confirmed interactions occurred in Mesa, versus documented city. Dataset manually updated to reflect correct interaction location and correct PIT counts reflected in https://maricopacoc.org/data/point-in-time-count/">Maricopa Regional Continuum of Care .

  7. v

    Non-market housing

    • opendata.vancouver.ca
    • vancouver.opendatasoft.com
    csv, excel, geojson +1
    Updated Nov 10, 2025
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    (2025). Non-market housing [Dataset]. https://opendata.vancouver.ca/explore/dataset/non-market-housing/
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    excel, json, csv, geojsonAvailable download formats
    Dataset updated
    Nov 10, 2025
    License

    https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

    Description

    This dataset contains data of non-market housing projects - both the buildings owned by City of Vancouver, and the buildings provided by other agencies. Non-market housing is for low and moderate income singles and families, often subsidized through a variety of ways, including senior government support. This housing is managed through various operators, including the public, non-profit, co-op, and urban indigenous sectors. Non-market housing is located throughout Vancouver in the forms of social, supportive, and co-op housing. This dataset includes temporary modular housing, which are demountable structures, not permanently affixed to land and assembled within months. The inventory does not include the following types of housing:Special Needs Residential Facilities - includes community care facilities providing licensed care services, and group residences providing housing as required by law, rehabilitative programs, or temporary housingSingle Room Accommodation - privately-owned single room occupancy (SRO) hotels, rooming houses, and other housing with rooms less than 320 square feet, typically featuring units with a basic cooking setup and shared bathroomsShelters - provide temporary beds, meals, and services to the city's homeless population NoteUnit total (and breakdown) of projects could change over the course of development and are not captured real timeHousing projects with "proposed", "approved" and "under construction" status may not contain unit number breakdown by "Design"Housing projects with "proposed", "approved" and "under construction" status may not contain information on operator names or typeUnit total is the sum of clientele groups (families, seniors, and others) Data currencyThis dataset is updated weekly. Data accuracyData for this dataset is amalgamated from a number of sources. It is possible that some information may not be shown because of data synchronization issues. There may be some loss of quality from data entry errors.Non-housing market projects for which geographic coordinates are not available yet will not show up on the map or in the spatial formats. For a complete list, please consult the XLS or CSV formats. Websites for further informationSocial and market rental housingFind social and co-op housing in Vancouver

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ConsumerShield Research Team (2025). Top 15 States by Estimated Number of Homeless People in 2024 [Dataset]. https://www.consumershield.com/articles/how-many-homeless-us

Top 15 States by Estimated Number of Homeless People in 2024

Explore at:
csvAvailable download formats
Dataset updated
Jun 9, 2025
Dataset authored and provided by
ConsumerShield Research Team
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

The graph displays the top 15 states by an estimated number of homeless people in the United States for the year 2025. The x-axis represents U.S. states, while the y-axis shows the number of homeless individuals in each state. California has the highest homeless population with 187,084 individuals, followed by New York with 158,019, while Hawaii places last in this dataset with 11,637. This bar graph highlights significant differences across states, with some states like California and New York showing notably higher counts compared to others, indicating regional disparities in homelessness levels across the country.

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