100+ datasets found
  1. Rate of homelessness in the U.S. 2023, by state

    • statista.com
    Updated Sep 5, 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
    Sep 5, 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 73 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 653,104 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 243,000. 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.

  2. Rate of homeless individuals by metro area in the U.S. 2017

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Rate of homeless individuals by metro area in the U.S. 2017 [Dataset]. https://www.statista.com/statistics/1007757/rate-homeless-individuals-metro-area-us/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    United States
    Description

    This statistic depicts the rate of homeless individuals in the United States in 2017, by metropolitan area. In 2017, the rate of homelessness per 10,000 individuals was highest in New York City, at 88.7.

  3. Estimated number of homeless people in the U.S. 2007-2023

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). 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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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were about 653,104 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 647,258. 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.

  4. d

    Directory Of Unsheltered Street Homeless To General Population Ratio 2011

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Sep 2, 2023
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    data.cityofnewyork.us (2023). Directory Of Unsheltered Street Homeless To General Population Ratio 2011 [Dataset]. https://catalog.data.gov/dataset/directory-of-unsheltered-street-homeless-to-general-population-ratio-2011
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    "Ratio of Homeless Population to General Population in major US Cities in 2011. *This represents a list of large U.S. cities for which DHS was able to confirm a recent estimate of the unsheltered population. A 2011 result is available for Seattle, WA, Miami, FL, and Boston, MA.. 2011 results are not yet available for the other cities, and their 2009 data are displayed in this chart. General population figures are 2010 estimates in New York, San Francisco, and Chicago, and 2009 estimates elsewhere."

  5. 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)

  6. T

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

    • datahub.austintexas.gov
    • data.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://datahub.austintexas.gov/Health-and-Community-Services/Strategic-Measure_Number-and-percentage-of-persons/3yhd-8eiv
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    application/rdfxml, csv, tsv, application/rssxml, xml, 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

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

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). 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
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, there were an estimated 324,854 white homeless people in the United States, the most out of any ethnicity. In comparison, there were around 243,624 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.

  8. 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>
    
    
    
    
     <p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</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

  9. 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
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    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....

  10. Homeless

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 29, 2016
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    Department of Homeless Services (DHS) (2016). Homeless [Dataset]. https://data.wu.ac.at/schema/bronx_lehman_cuny_edu/cGdjeC1qajhw
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    json, csv, xmlAvailable download formats
    Dataset updated
    Aug 29, 2016
    Dataset provided by
    New York City Department of Homeless Serviceshttp://www.nyc.gov/dhs
    Description

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

  11. a

    Survey results: Point-in-Time count

    • hub.arcgis.com
    Updated Apr 28, 2022
    + more versions
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    City of Ottawa (2022). Survey results: Point-in-Time count [Dataset]. https://hub.arcgis.com/datasets/4c598271584a464a87ecb62c3e4f34ca
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    Dataset updated
    Apr 28, 2022
    Dataset authored and provided by
    City of Ottawa
    License

    https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0

    Description

    City staff and community partners work together to survey people experiencing homelessness in Ottawa. So far, the City has led two counts:April 2018October 2021Oct 2024The survey is conducted to gather information about people experiencing homelessness. The goal of this work is to guide new approaches to address homelessness at a local level and help in the planning and delivery of services.Date created: 28 April 2022Update frequency: As needed.Accuracy: Convenience sampling was used to recruit survey respondents. This method of recruiting respondents to answer the survey does not rely on a random selection process. Instead, surveyors approach potential respondents if they are close by at the time the surveyor is delivering the questionnaire. Many factors could determine participation in the survey including:Number of community partners involved in the PiT countLocation of surveyors and their physical proximity to potential respondentsNumber of engagement eventsSeason the survey was conductedDifferences in results between PiT count years may be due to changes within the homeless population and shifts in methodology. For comparisons of emergency shelter use over time, visit the Temporary Emergency Accommodations Dashboard. An analysis of factors related to housing and homelessness during COVID-19 provides context for unique housing market conditions during the pandemic.Results shown in the Survey results: Point-in-Time count dashboard are presented by sector. The name and definition of each sector are below:All: All respondents who answered the surveySingle adult: Respondents aged 25 years or older and not accompanied by anyoneUnaccompanied youth: Respondents under 25 years old and not accompanied by anyoneFamily: Respondents accompanied by children under 18 years oldAttributes:Question: The question that was asked in the surveyTopic: The classification of the survey question by themSector: Refers to the population (total, family, unaccompanied youth, single adults)Period: Month the Point-in-Time count was conductedResponse: Response category of the survey questionNumeratorDenominatorPercentage Author: Housing ServicesAuthor email: pitcount_denombrementponctuel@ottawa.ca

  12. A

    ‘Directory Of Unsheltered Street Homeless To General Population Ratio 2012’...

    • analyst-2.ai
    Updated Jan 27, 2022
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Directory Of Unsheltered Street Homeless To General Population Ratio 2012’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-directory-of-unsheltered-street-homeless-to-general-population-ratio-2012-0b92/latest
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    Dataset updated
    Jan 27, 2022
    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 ‘Directory Of Unsheltered Street Homeless To General Population Ratio 2012’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3938b01a-ab66-4fd1-967a-478702f97b87 on 27 January 2022.

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

    "Ratio of Homeless Population to General Population in major US Cities in 2012. *This represents a list of large U.S. cities for which DHS was able to confirm a recent estimate of the unsheltered population. Unsheltered estimates are from 2011 except for Seattle and New York City (2012) and Chicago (2009). All General Population figures are from the 2010 U.S. Census enumeration."

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

  13. C

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

    • data.ca.gov
    csv, docx
    Updated Feb 6, 2025
    + more versions
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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.

  14. Continuum of Care (CoC) Homeless Populations and Subpopulations Reports

    • catalog.data.gov
    • datasets.ai
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Continuum of Care (CoC) Homeless Populations and Subpopulations Reports [Dataset]. https://catalog.data.gov/dataset/coc-homeless-populations-and-subpopulations-reports
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This report displays the data communities reported to HUD about the nature of and amount of persons who are homeless as part of HUD's Point-in-Time (PIT) Count. This data is self-reported by communities to HUD as part of its competitive Continuum of Care application process. The website allows users to select PIT data from 2005 to present. Users can use filter by CoC, states, or the entire nation.

  15. c

    Homelessness (Survey of Homeless)

    • datacatalogue.cessda.eu
    • dbk.gesis.org
    • +1more
    Updated Mar 14, 2023
    + more versions
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    Sack, Fritz; Höhmann, Peter (2023). Homelessness (Survey of Homeless) [Dataset]. http://doi.org/10.4232/1.2579
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Forschungsinstitut für Soziologie, Universität zu Köln
    Authors
    Sack, Fritz; Höhmann, Peter
    Time period covered
    Oct 1969 - Feb 1970
    Measurement technique
    Oral survey with standardized questionnaire
    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.

  16. a

    Persons Experiencing Homelessness

    • hub.arcgis.com
    • data.lacounty.gov
    • +2more
    Updated Dec 19, 2023
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    County of Los Angeles (2023). Persons Experiencing Homelessness [Dataset]. https://hub.arcgis.com/datasets/c772c0bb9df54a21aabe8ebaa3eb2c0a
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    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    According to U.S. Department of Housing and Urban Development's definition, homelessness includes individuals and families who lack a fixed, regular, and adequate nighttime residence. A homeless count provides a "snapshot in time" to quantify the size of the homeless population at a specific point during the year. Regardless of how successful outreach efforts are, an undercount of people experiencing homelessness is possible. Counts includes persons experiencing unsheltered and sheltered homelessness. Greater Los Angeles Homeless Count occurred in the nights of February 22, 23 and 24, 2022. Glendale's count occurred in the morning and evening of February 25, 2022. Long Beach's count occurred in the early morning of February 24, 2022. Pasadena's count occurred in the evening of February 22, 2022 and morning of February 23, 2022. Data not available for Los Angeles City neighborhoods and unincorporated Los Angeles County; LAHSA does not recommend aggregating census tract-level data to calculate numbers for other geographic levels.Housing affordability is a major concern for many Los Angeles County residents. Housing burden can increase the risk for homelessness. Individuals experiencing homelessness experience disproportionately higher rates of certain health conditions, such as tuberculosis, HIV infection, alcohol and drug abuse, and mental illness. Barriers to accessing care and limited access to resources contribute greatly to these observed disparities.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  17. Homeless Persons by Autonomous Community where the the centre is located and...

    • ine.es
    csv, html, json +4
    Updated Oct 21, 2016
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    INE - Instituto Nacional de Estadística (2016). Homeless Persons by Autonomous Community where the the centre is located and nationality [Dataset]. https://ine.es/jaxi/Tabla.htm?tpx=10034&L=1
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    txt, xls, json, csv, xlsx, html, text/pc-axisAvailable download formats
    Dataset updated
    Oct 21, 2016
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Nationality, Absolute value/percentage, Autonomous City and Community where the the centre is located
    Description

    Survey on Homeless Persons: Homeless Persons by Autonomous Community where the the centre is located and nationality. Autonomous City and Community where the the centre is located.

  18. 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.

  19. d

    Homelessness and COVID-19

    • catalog.data.gov
    • data.kingcounty.gov
    • +2more
    Updated Feb 2, 2024
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    data.kingcounty.gov (2024). Homelessness and COVID-19 [Dataset]. 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.

  20. Number of homeless people in the city of Los Angeles by sheltered status...

    • statista.com
    Updated Dec 9, 2024
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    Statista (2024). Number of homeless people in the city of Los Angeles by sheltered status 2023 [Dataset]. https://www.statista.com/statistics/1007716/number-homeless-people-city-los-angeles-sheltered-status/
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    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    United States
    Description

    As of 2023, there were about 32,680 unsheltered homeless people living in Los Angeles, compared to 13,580 sheltered homeless people.

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

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 5, 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 73 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 653,104 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 243,000. 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.

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