25 datasets found
  1. Estimated number of homeless people in the U.S. 2007-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Estimated number of homeless people in the U.S. 2007-2023 [Dataset]. https://www.statista.com/statistics/555795/estimated-number-of-homeless-people-in-the-us/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were about ******* homeless people estimated to be living in the United States, the highest number of homeless people recorded within the provided time period. In comparison, the second-highest number of homeless people living in the U.S. within this time period was in 2007, at *******. How is homelessness calculated? Calculating homelessness is complicated for several different reasons. For one, it is challenging to determine how many people are homeless as there is no direct definition for homelessness. Additionally, it is difficult to try and find every single homeless person that exists. Sometimes they cannot be reached, leaving people unaccounted for. In the United States, the Department of Housing and Urban Development calculates the homeless population by counting the number of people on the streets and the number of people in homeless shelters on one night each year. According to this count, Los Angeles City and New York City are the cities with the most homeless people in the United States. Homelessness in the United States Between 2022 and 2023, New Hampshire saw the highest increase in the number of homeless people. However, California was the state with the highest number of homeless people, followed by New York and Florida. The vast amount of homelessness in California is a result of multiple factors, one of them being the extreme high cost of living, as well as opposition to mandatory mental health counseling and drug addiction. However, the District of Columbia had the highest estimated rate of homelessness per 10,000 people in 2023. This was followed by New York, Vermont, and Oregon.

  2. 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
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    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.

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

    • statista.com
    Updated Feb 15, 2024
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    Statista (2024). Rate of homelessness in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/727847/homelessness-rate-in-the-us-by-state/
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    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

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

  4. c

    Number of Homeless People in U.S. (2007-2024)

    • consumershield.com
    csv
    Updated Jun 9, 2025
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    ConsumerShield Research Team (2025). Number of Homeless People in U.S. (2007-2024) [Dataset]. https://www.consumershield.com/articles/how-many-homeless-us
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    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 estimated number of homeless people in the United States from 2007 to 2024. The x-axis represents the years, ranging from 2007 to 2023, while the y-axis indicates the number of homeless individuals. The estimated homeless population varies over this period, ranging from a low of 57,645 in 2014 to a high of 771,000 in 2024. From 2007 to 2013, there is a general decline in numbers from 647,258 to 590,364. In 2014, the number drops significantly to 57,645, followed by an increase to 564,708 in 2015. The data shows fluctuations in subsequent years, with another notable low of 55,283 in 2018. From 2019 onwards, the estimated number of homeless people generally increases, reaching its peak in 2024. This data highlights fluctuations in homelessness estimates over the years, with a recent upward trend in the homeless population.

  5. Number of homeless people in the U.S. 2023, by race

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of homeless people in the U.S. 2023, by race [Dataset]. https://www.statista.com/statistics/555855/number-of-homeless-people-in-the-us-by-race/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, there were an estimated ******* white homeless people in the United States, the most out of any ethnicity. In comparison, there were around ******* Black or African American homeless people in the U.S. How homelessness is counted The actual number of homeless individuals in the U.S. is difficult to measure. The Department of Housing and Urban Development uses point-in-time estimates, where employees and volunteers count both sheltered and unsheltered homeless people during the last 10 days of January. However, it is very likely that the actual number of homeless individuals is much higher than the estimates, which makes it difficult to say just how many homeless there are in the United States. Unsheltered homeless in the United States California is well-known in the U.S. for having a high homeless population, and Los Angeles, San Francisco, and San Diego all have high proportions of unsheltered homeless people. While in many states, the Department of Housing and Urban Development says that there are more sheltered homeless people than unsheltered, this estimate is most likely in relation to the method of estimation.

  6. Number of homeless youth U.S. 2023, by state

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of homeless youth U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/727835/number-of-homeless-young-people-in-the-us-by-state/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, there were about ****** homeless youth living in California, the most out of any U.S. state. New York had the second-highest number of homeless youth in that year, at *****.

  7. 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

  8. 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.

  9. 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.

  10. Number of homeless people in London 2025, by borough

    • statista.com
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    Statista, Number of homeless people in London 2025, by borough [Dataset]. https://www.statista.com/statistics/381365/london-homelessness-rough-sleepers-by-london-borough/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2024 - Mar 31, 2025
    Area covered
    London, United Kingdom (England)
    Description

    In 2024/25, there were ***** rough sleepers reported in Westminster, making it the London borough with the highest number of rough sleepers in that year. Other boroughs which also had a high number of homeless people included, Camden, Ealing, and Southwark.

  11. d

    Homelessness (Investigation in Part of Town)

    • da-ra.de
    • dbk.gesis.org
    Updated 1995
    + more versions
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    Fritz Sack; Peter Höhmann (1995). Homelessness (Investigation in Part of Town) [Dataset]. http://doi.org/10.4232/1.2578
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    Dataset updated
    1995
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Fritz Sack; Peter Höhmann
    Time period covered
    1969 - 1970
    Description

    A survey of the homeless in two settlements of the part of town is archived under ZA Study No. 2579.

  12. g

    Obdachlosigkeit (Obdachlosenbefragung)

    • search.gesis.org
    • da-ra.de
    Updated Apr 13, 2010
    + more versions
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    Sack, Fritz; Höhmann, Peter (2010). Obdachlosigkeit (Obdachlosenbefragung) [Dataset]. http://doi.org/10.4232/1.2579
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    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Sack, Fritz; Höhmann, Peter
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    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.

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

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Number of homeless veterans in the U.S., by state 2022 [Dataset]. https://www.statista.com/statistics/727819/number-of-homeless-veterans-in-the-us-by-state/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, about ****** veterans living in California were homeless, the most out of all U.S. states.

  14. d

    Compendium – LBOI section 2: Housing and homelessness

    • digital.nhs.uk
    xlsx
    Updated Sep 22, 2015
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    (2015). Compendium – LBOI section 2: Housing and homelessness [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/compendium-local-basket-of-inequality-indicators-lboi/current/section-2-housing-and-homelessness
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    xlsx(356.0 kB)Available download formats
    Dataset updated
    Sep 22, 2015
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jun 1, 2003 - Dec 31, 2014
    Area covered
    England
    Description

    DCLG collects information on the number of households with or expecting dependent children, who are, at the end of each quarter, in any of the following types of temporary accommodation: • Bed and Breakfast (B&B) - typically involves the use of privately managed hotels where households share at least some facilities and meals are provided; • Annexe accommodation - is also generally paid on a nightly basis, privately managed but may not be part of a B&B hotel and may not involve shared facilities. A distinction is made on the basis of whether at least some facilities are shared or there is exclusive use of all facilities; • Hostel accommodation - hostels assumes shared accommodation, owned or leased and managed by either a local authority, housing association or non-profit making organisation; includes reception centres and emergency units; • Private sector accommodation - dwellings may be leased from the private sector, either directly, or by a local authority or a Registered Social Landlord; • Other - includes mobile homes, such as caravans, ‘demountables’, ‘portacabins’ and ‘transposables.’ The last 20 years have seen a rapid increase in homelessness, with the numbers of officially homeless families peaking in the early 1990s. In 1997 102,000 were statutory homeless, i.e. they met the definition of homelessness laid down in the 1977 Housing (Homeless Persons) Act. Other homeless people included rough sleepers - those without any accommodation at all - and hostel users. In 1997, fifty eight per cent of statutory homeless households had dependent children, and a further 10 per cent had a pregnant household member, compared to 51% and 10% respectively in 2003. Poor housing environments contribute to ill health through poor amenities, shared facilities and overcrowding, inadequate heating or energy inefficiency. The highest risks to health in housing are attached to cold, damp and mouldy conditions. In addition, those in very poor housing, such as homeless hostels and bedsits, are more likely to suffer from poor mental and physical health than those whose housing is of higher quality. People living in temporary accommodation of the bed and breakfast kind have high rates of some infections and skin conditions and children have high rates of accidents. Living in such conditions engenders stress in the parents and impairs normal child development through lack of space for safe play and exploration. Whilst cause and effect are hard to determine, at the very least homelessness prevents the resolution of associated health problems. Legacy unique identifier: P01088

  15. f

    Number of episodes per city between March 2020 and March 2021.

    • plos.figshare.com
    xls
    Updated Feb 5, 2024
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    Eline Mennis; Michelle Hobus; Maria van den Muijsenbergh; Tessa van Loenen (2024). Number of episodes per city between March 2020 and March 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0296754.t001
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    xlsAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Eline Mennis; Michelle Hobus; Maria van den Muijsenbergh; Tessa van Loenen
    License

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

    Description

    Number of episodes per city between March 2020 and March 2021.

  16. Baseline characteristics of study population and diagnosis groups.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Feb 5, 2024
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    Eline Mennis; Michelle Hobus; Maria van den Muijsenbergh; Tessa van Loenen (2024). Baseline characteristics of study population and diagnosis groups. [Dataset]. http://doi.org/10.1371/journal.pone.0296754.t002
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    xlsAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Eline Mennis; Michelle Hobus; Maria van den Muijsenbergh; Tessa van Loenen
    License

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

    Description

    Baseline characteristics of study population and diagnosis groups.

  17. Law Against Rights? A Controversy in São Francisco Square Written in Folha...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Viviane de Melo Resende (2023). Law Against Rights? A Controversy in São Francisco Square Written in Folha de S. Paulo: Critical-Discursive Reflections [Dataset]. http://doi.org/10.6084/m9.figshare.20455105.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Viviane de Melo Resende
    License

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

    Description

    ABSTRACT In this paper I present results of a project that, in the context of critical discourse studies and the interdiscursive analysis of public policies, focused on representations in online journalism regarding public policies aimed at the homeless population. The research project (CAPES 88881.172032/2018-01) was developed at the Pompeu Fabra University, Spain. Considering the main newspaper of the city of São Paulo, in its digital platform, we have compiled a comprehensive corpus of news about homeless situation published in a period of three years. The choice to specifically address data from Folha de S Paulo is justified because it is the city with the largest homeless population in Brazil. Also, because our previous study has shown that this is the vehicle, among those studied, that publishes more news related to territorial issues, our focus of interest to investigate via the discursive categories of metaphor and representation of social actors.

  18. f

    Data_Sheet_1_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 Everdingen, Coline; Delespaul, Philippe A. E. G.; Van Der Velden, Koos; Peerenboom, Peter Bob (2021). Data_Sheet_1_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000862866
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    Dataset updated
    Jul 9, 2021
    Authors
    Van Everdingen, Coline; Delespaul, Philippe A. E. G.; Van Der Velden, Koos; 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.

  19. Statutory Homelessness Statistics, England

    • data.wu.ac.at
    html
    Updated Dec 11, 2014
    + more versions
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    Ministry of Housing, Communities and Local Government (2014). Statutory Homelessness Statistics, England [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/OGZhMDRmZWUtNjUzZi00OTVkLWE5Y2EtMDAxYzc5MWVlZmI3
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    htmlAvailable download formats
    Dataset updated
    Dec 11, 2014
    License

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

    Description

    National Statistics on Homelessness. Data on households found to be homeless. Contains most useful or most popular data, presented by type and other variables, including by geographical area or as a time series.

  20. T

    Unsheltered Point in Time (PIT) Count 2014-2018

    • citydata.mesaaz.gov
    • data.mesaaz.gov
    csv, xlsx, xml
    Updated Dec 6, 2018
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    Community Services (2018). Unsheltered Point in Time (PIT) Count 2014-2018 [Dataset]. https://citydata.mesaaz.gov/Community-Services/Unsheltered-Point-in-Time-PIT-Count-2014-2018/qhak-epdf
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Dec 6, 2018
    Dataset authored and provided by
    Community Services
    Description

    **No longer updated: see current data at https://data.mesaaz.gov/Community-Services/Unsheltered-Point-in-Time-PIT-Count-Phoenix-Metro-/jagk-fkkw ** Unsheltered Street Count by Municipality (2014‐2018), also known as Regional Homeless Point in Time Count. All communities participate in the unsheltered homeless count conducted during the last week of January. Numbers for all communities with the exception of Phoenix are a direct census of individuals interviewed by volunteers, law enforcement, and outreach workers. The City of Phoenix conducts a survey using an extrapolation method by which areas are designated “high density” or “low density” areas. Direct counts in those areas are then extrapolated to estimate the number of individuals experiencing homelessness in unsheltered situations within the City of Phoenix geographic boundaries.

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Statista (2025). Estimated number of homeless people in the U.S. 2007-2023 [Dataset]. https://www.statista.com/statistics/555795/estimated-number-of-homeless-people-in-the-us/
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Estimated number of homeless people in the U.S. 2007-2023

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6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, there were about ******* homeless people estimated to be living in the United States, the highest number of homeless people recorded within the provided time period. In comparison, the second-highest number of homeless people living in the U.S. within this time period was in 2007, at *******. How is homelessness calculated? Calculating homelessness is complicated for several different reasons. For one, it is challenging to determine how many people are homeless as there is no direct definition for homelessness. Additionally, it is difficult to try and find every single homeless person that exists. Sometimes they cannot be reached, leaving people unaccounted for. In the United States, the Department of Housing and Urban Development calculates the homeless population by counting the number of people on the streets and the number of people in homeless shelters on one night each year. According to this count, Los Angeles City and New York City are the cities with the most homeless people in the United States. Homelessness in the United States Between 2022 and 2023, New Hampshire saw the highest increase in the number of homeless people. However, California was the state with the highest number of homeless people, followed by New York and Florida. The vast amount of homelessness in California is a result of multiple factors, one of them being the extreme high cost of living, as well as opposition to mandatory mental health counseling and drug addiction. However, the District of Columbia had the highest estimated rate of homelessness per 10,000 people in 2023. This was followed by New York, Vermont, and Oregon.

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