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

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). 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
    Jun 23, 2025
    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.

  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. 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.

  4. 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/
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    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.

  5. f

    European public perceptions of homelessness: A knowledge, attitudes and...

    • plos.figshare.com
    doc
    Updated May 31, 2023
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    Junie Petit; Sandrine Loubiere; Aurlie Tinland; Maria Vargas-Moniz; Freek Spinnewijn; Rachel Manning; Massimo Santinello; Judith Wolf; Anna Bokszczanin; Roberto Bernad; Hakan Kallmen; Jose Ornelas; Pascal Auquier (2023). European public perceptions of homelessness: A knowledge, attitudes and practices survey [Dataset]. http://doi.org/10.1371/journal.pone.0221896
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    docAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Junie Petit; Sandrine Loubiere; Aurlie Tinland; Maria Vargas-Moniz; Freek Spinnewijn; Rachel Manning; Massimo Santinello; Judith Wolf; Anna Bokszczanin; Roberto Bernad; Hakan Kallmen; Jose Ornelas; Pascal Auquier
    License

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

    Area covered
    Europe
    Description

    BackgroundAddressing Citizen’s perspectives on homelessness is crucial for the design of effective and durable policy responses, and available research in Europe is not yet substantive. We aim to explore citizens’ opinions about homelessness and to explain the differences in attitudes within the general population of eight European countries: France, Ireland, Italy, the Netherlands, Poland, Portugal, Spain, and Sweden.MethodsA nationally representative telephone survey of European citizens was conducted in 2017. Three domains were investigated: Knowledge, Attitudes, and Practices about homelessness. Based on a multiple correspondence analysis (MCA), a generalized linear model for clustered and weighted samples was used to probe the associations between groups with opposing attitudes.ResultsResponse rates ranged from 30.4% to 33.5% (N = 5,295). Most respondents (57%) had poor knowledge about homelessness. Respondents who thought the government spent too much on homelessness, people who are homeless should be responsible for housing, people remain homeless by choice, or homelessness keeps capabilities/empowerment intact (regarding meals, family contact, and access to work) clustered together (negative attitudes, 30%). Respondents who were willing to pay taxes, welcomed a shelter, or acknowledged people who are homeless may lack some capabilities (i.e. agreed on discrimination in hiring) made another cluster (positive attitudes, 58%). Respondents living in semi-urban or urban areas (ORs 1.33 and 1.34) and those engaged in practices to support people who are homeless (ORs > 1.4; p

  6. Homeless people in Portugal 2018-2022, by type of homelessness

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Homeless people in Portugal 2018-2022, by type of homelessness [Dataset]. https://www.statista.com/statistics/1535621/portugal-homeless-people-by-type-oh-homelessness/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Portugal
    Description

    The number of homeless people in Portugal continuously increased from 2018 to 2022. In the latter year, there were ****** homeless individuals in the country. Unsheltered individuals outnumbered the unhoused by more than a thousand homeless persons.

  7. Number of homeless people in Russia 2010-2021, by type of area

    • statista.com
    Updated Jan 23, 2023
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    Number of homeless people in Russia 2010-2021, by type of area [Dataset]. https://www.statista.com/statistics/1360529/number-of-homeless-people-in-russia/
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    Dataset updated
    Jan 23, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    Nearly 11.3 thousand people in Russia were homeless, based on the population census data from 2021. The number of homeless residents decreased by 82 percent compared to 2010. The largest share of homeless people in the country lived in urban areas, at around 95 percent in 2021.

  8. Share of homeless population India 2011, by area

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Share of homeless population India 2011, by area [Dataset]. https://www.statista.com/statistics/1132046/india-share-of-homeless-population-by-area/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2011
    Area covered
    India
    Description

    In 2011, about ** percent of the total population in India was homeless. Urban areas witnessed more homelessness in comparison to the rural areas of the country. Homelessness is a growing issue in India that leads to various other problems like violence and drug addiction among others.

  9. Establishing need and population priorities to improve the health of...

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Esther S. Shoemaker; Claire E. Kendall; Christine Mathew; Sarah Crispo; Vivian Welch; Anne Andermann; Sebastian Mott; Christine Lalonde; Gary Bloch; Alain Mayhew; Tim Aubry; Peter Tugwell; Vicky Stergiopoulos; Kevin Pottie (2023). Establishing need and population priorities to improve the health of homeless and vulnerably housed women, youth, and men: A Delphi consensus study [Dataset]. http://doi.org/10.1371/journal.pone.0231758
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Esther S. Shoemaker; Claire E. Kendall; Christine Mathew; Sarah Crispo; Vivian Welch; Anne Andermann; Sebastian Mott; Christine Lalonde; Gary Bloch; Alain Mayhew; Tim Aubry; Peter Tugwell; Vicky Stergiopoulos; Kevin Pottie
    License

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

    Description

    BackgroundHomelessness is one of the most disabling and precarious living conditions. The objective of this Delphi consensus study was to identify priority needs and at-risk population subgroups among homeless and vulnerably housed people to guide the development of a more responsive and person-centred clinical practice guideline.MethodsWe used a literature review and expert working group to produce an initial list of needs and at-risk subgroups of homeless and vulnerably housed populations. We then followed a modified Delphi consensus method, asking expert health professionals, using electronic surveys, and persons with lived experience of homelessness, using oral surveys, to prioritize needs and at-risk sub-populations across Canada. Criteria for ranking included potential for impact, extent of inequities and burden of illness. We set ratings of ≥ 60% to determine consensus over three rounds of surveys.FindingsEighty four health professionals and 76 persons with lived experience of homelessness participated from across Canada, achieving an overall 73% response rate. The participants identified priority needs including mental health and addiction care, facilitating access to permanent housing, facilitating access to income support and case management/care coordination. Participants also ranked specific homeless sub-populations in need of additional research including: Indigenous Peoples (First Nations, Métis, and Inuit); youth, women and families; people with acquired brain injury, intellectual or physical disabilities; and refugees and other migrants.InterpretationThe inclusion of the perspectives of both expert health professionals and people with lived experience of homelessness provided validity in identifying real-world needs to guide systematic reviews in four key areas according to priority needs, as well as launch a number of working groups to explore how to adapt interventions for specific at-risk populations, to create evidence-based guidelines.

  10. Special Eurobarometer 279: Poverty and exclusion

    • data.wu.ac.at
    zip
    Updated Sep 4, 2018
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    European Union Open Data Portal (2018). Special Eurobarometer 279: Poverty and exclusion [Dataset]. https://data.wu.ac.at/schema/www_europeandataportal_eu/NjUxOWZmNzgtNjFmNC00NTUwLWJjYjMtMDVjZDk4NWMwYjU3
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    zipAvailable download formats
    Dataset updated
    Sep 4, 2018
    Dataset provided by
    EU Open Data Portalhttp://data.europa.eu/
    European Union-
    Description

    The Directorate-General Employment of the European Commission commissioned a survey that examines public opinion about poverty and exclusion in the European Union. Between the 14th of February and the 18th of March 2007, TNS Opinion & Social, a consortium formed by TNS and EOS Gallup Europe interviewed 26,466 EU citizens aged 15 and over living in the 27 European Union Member States and 1,000 residents of Croatia. This report studies the following issues related to poverty and exclusion covered by the survey. ♦ First of all, we focus on the perceived existence of poverty in the European Union: to what extent are Europeans themselves affected by poverty and to what extent do they see poverty in the area in which they live? In this chapter we furthermore look at attitudes towards poverty: is it an inherited or acquired condition, what causes poverty and why do people live in need? ♦ The second part of the report focuses on one of the most extreme forms of exclusion, homelessness: why do people become homeless, what is the perceived risk of becoming homeless oneself and what do Europeans do to help homeless people? ♦ In the final part we examine what Europeans regard necessary in order to have a decent standard of living with regards to financial means, housing needs, ownership of durable goods, basic necessities and social integration. We also look specifically at people’s views concerning the requirements and the needs of children to live and develop well. We end the report with an examination of how people’s attitudes towards poverty relate to what they consider necessary for a decent standard of living. #####The results by volumes are distributed as follows: * Volume A: Countries * Volume AA: Groups of countries * Volume A' (AP): Trends * Volume AA' (AAP): Trends of groups of countries * Volume B: EU/socio-demographics * Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: http://www.gesis.org/en/home/

  11. f

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

    • frontiersin.figshare.com
    pdf
    Updated Jun 1, 2023
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    Coline Van Everdingen; Peter Bob Peerenboom; Koos Van Der Velden; Philippe A. E. G. Delespaul (2023). Data_Sheet_2_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.661517.s002
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Coline Van Everdingen; Peter Bob Peerenboom; Koos Van Der Velden; Philippe A. E. G. Delespaul
    License

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

    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.

  12. Number of rough sleepers in London 2010-2025

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Number of rough sleepers in London 2010-2025 [Dataset]. https://www.statista.com/statistics/381356/london-homelessness-rough-sleepers-timeline/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2010 - Mar 31, 2025
    Area covered
    United Kingdom (England), London
    Description

    In 2024/25, 13,231 people who were seen to be sleeping rough in London compared with 11,993 in the previous reporting year, and the most reported during this time period. The number of people reported to be sleeping rough has steadily increased throughout this time period, with the dip in 2020/21, and 2022/23, likely related to the COVID-19 pandemic. Demographics of London's homeless As of the most recent reporting year, over 2,000 of London's rough sleepers were in the borough of Westminster, the most of any London borough. In terms of gender, the majority of rough sleepers are male, with more than 10,000 men seen to be sleeping rough, compared with 2,149 women, and 18 non-binary people. The most common age group was among those aged between 36 and 45 years old, at more than 3,900, compared with 1,411 25 and under, 3,580 aged between 26 and 34, 2,860 aged 45 and 55, and around 1,578 over 55s. Homelessness in the U.S. Homelessness is also an important social issue in several other countries. In the United States, for example, there were estimated to be approximately 653,104 people experiencing homelessness in 2023. This was a noticeable increase on the previous year, and the highest number between 2007 and 2023. When looking at U.S. states, New York had the highest homelessness rate, at 52 individuals per 10,000 population, followed by Vermont at 51.

  13. f

    Table_1_Health Patterns Reveal Interdependent Needs of Dutch Homeless...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
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    Coline van Everdingen; Peter Bob Peerenboom; Koos van der Velden; Philippe Delespaul (2023). Table_1_Health Patterns Reveal Interdependent Needs of Dutch Homeless Service Users.DOCX [Dataset]. http://doi.org/10.3389/fpsyt.2021.614526.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Coline van Everdingen; Peter Bob Peerenboom; Koos van der Velden; Philippe Delespaul
    License

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

    Description

    Background: Homelessness is an increasing problem in Western European countries. Dutch local authorities initiated cross-sectional reviews to obtain accurate health and needs information on Homeless Service (HS) users.Methods: The Homeless People Treatment and Recovery (HOP-TR) study uses a comprehensive assessment strategy to obtain health data. Using a naturalistic meta-snowball sampling in 2015–2017, 436 Dutch HS users were assessed. The lived experience of HS users was the primary data source and was enriched with professional assessments. The InterRAI Community Mental Health questionnaire and “Homelessness Supplement” provided information in different areas of life. The approach for mental health assessments was transdiagnostic. Raw interview data were recoded to assess health and needs. The positive health framework structured symptomatic, social, and personal health domains relevant to recovery.Results: Most subjects were males, low educated, with a migration background. The majority were long-term or intermittently homeless. Concurrent health problems were present in two domains or more in most (95.0%) subjects. Almost all participants showed mental health problems (98.6%); for a significant share severe (72.5%). Frequent comorbid conditions were addiction (78%), chronic physical conditions (59.2%), and intellectual impairments (39.9%).Conclusion: The HOP-TR study reveals significant concurrent health problems among Dutch HS users. The interdependent character of different needs requires an integrated 3-D public health approach to comprehensively serve symptomatic, social, and personal dimensions, required to facilitate recovery.

  14. CBS News/New York Times Monthly Poll #1, January 1992

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Mar 11, 2008
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    Inter-university Consortium for Political and Social Research [distributor] (2008). CBS News/New York Times Monthly Poll #1, January 1992 [Dataset]. http://doi.org/10.3886/ICPSR04476.v1
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    stata, delimited, ascii, spss, sasAvailable download formats
    Dataset updated
    Mar 11, 2008
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4476/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4476/terms

    Time period covered
    Jan 1992
    Area covered
    United States
    Description

    This poll, fielded January 6-8, 1992, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked to give their opinions of President George H.W. Bush and his handling of the presidency, foreign policy, and the economy. Respondents were asked to list the most important problem facing the country, which candidate they would vote for if the election for president were being held that day, and whether they were likely to vote in the Democratic or Republican presidential primary or caucus. Several questions asked for respondents' opinions of the Democratic and Republican presidential nominees, which candidates they would like to see win the nominations for president, and what issues they would like to see the candidates emphasize in their campaigns. Opinions were collected on how much George H.W. Bush cared about the general public, whether he distributed his time properly between foreign policy problems and problems at home, and whether his visits to countries in Asia would increase the number of jobs in the United States. A series of questions addressed the causes of homelessness, whether it was something the government could do a lot about, and whether respondents had personally seen a lot of homeless people in their community. Additional questions asked respondents to rate the condition of the national economy, whether they would be better off financially if George H.W. Bush was re-elected president, whether recession was something a president could do a lot about, and whether George H.W. Bush was healthy enough to be an effective president for a second term. Demographic variables include sex, race, age, household income, education level, political party affiliation, political philosophy, and voter registration status.

  15. f

    Data_Sheet_1_EQ-5D-3L Health Status Among Homeless People in Stockholm,...

    • frontiersin.figshare.com
    pdf
    Updated May 31, 2023
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    Bo Burström; Robert Irestig; Kristina Burström (2023). Data_Sheet_1_EQ-5D-3L Health Status Among Homeless People in Stockholm, Sweden, 2006 and 2018.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.780753.s001
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Bo Burström; Robert Irestig; Kristina Burström
    License

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

    Area covered
    Sweden, Stockholm
    Description

    Background: Homeless people are a socially excluded group whose health reflects exposures to intersecting social determinants of health. The aim of this study was to describe and compare the demographic composition, certain social determinants of health, and self-reported health among homeless people in Stockholm, Sweden, in 2006 and 2018.Methods: Analysis of data from face-to-face interviews with homeless people in Stockholm 2006 (n = 155) and 2018 (n = 148), based on a public health survey questionnaire adapted to the group, including the EQ-5D-3L instrument. The chi-squared test was employed to test for statistical significance between groups and the independent t-test for comparison of mean scores and values. Ordinary Least Squares (OLS) regression, with Robust Standard Errors (RSE) was performed on merged 2006 and 2018 data with mean observed EQ VAS score as outcome variable.Results: In 2018 more homeless people originated from countries outside Europe, had temporary social assistance than long-term social insurance, compared to in 2006. In 2018 more respondents reported lack of social support, exposure to violence, and refrained from seeking health care because of economic reasons. Daily smoking, binge drinking, and use of narcotic drugs was lower 2018 than 2006. In 2018 a higher proportion reported problems in the EQ-5D-3L dimensions, the mean TTO index value and the VAS index value was significantly lower than in 2006. In the regression analysis of merged data there was no significant difference between the years.Conclusions: Homeless people are an extremely disadvantaged group, have high rates of illness and disease and report poor health in all EQ-5D-3L dimensions. The EQ VAS score among the homeless people in 2018 is comparable to the score among persons aged 95–104 years in the general Swedish population 2017. The EQ-5D-3L instrument was easily administered to this group, its use allows comparison with larger population groups. Efforts are needed regarding housing, but also intensified collaboration by public authorities with responsibilities for homeless people's health and social welfare. Further studies should evaluate the impact of such efforts by health and social care services on the health and well-being of homeless people.

  16. Number of rough sleepers in London 2024, by age

    • statista.com
    Updated Dec 3, 2024
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    Statista (2024). Number of rough sleepers in London 2024, by age [Dataset]. https://www.statista.com/statistics/381375/london-homelessness-rough-sleepers-by-age/
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2023 - Mar 31, 2024
    Area covered
    London, United Kingdom (England)
    Description

    In 2023/24, 3,645 people who were seen to be sleeping rough in London were aged between 36 and 45 years old, the most common age group in that year. In this same year, 1,126 people seen to be homeless were aged between 18 and 24, and a further 1,380 were aged over 55. By far, the least common age group for rough sleeping were those aged under 18, with just 13 rough sleepers in this reporting year. Demographics of London's homeless Overall, there were 10,053 people reported to be sleeping rough in London in 2022/23. Although this was fewer than in 2020/21, when the number of people sleeping rough reached 11,018, it was still much higher than in 2010/11, when this figure was 3,975 people. As of the most recent reporting year, 2,050 of London's rough sleepers were in the borough of Westminster, the most of any London borough. In terms of gender, the majority of rough sleepers in 2022/23 were male, with 8,172 men seen to be sleeping rough, compared with 1,642 women, and eleven non-binary people. Homelessness in the U.S. Homelessness is also an important social issue in several other countries. In the United States, for example, there were estimated to be approximately 582,562 people experiencing homelessness in 2022. This was a slight increase on the previous year, but a decrease when compared to 2007, when around 672,258 people were homeless. When looking at U.S. states, California had the highest homelessness rate, at 43.7 individuals per 10,000 population, followed by Vermont at 43.1

  17. Backpack Bed For Homeless Inc Importer and Starry Solutions Private Limited...

    • seair.co.in
    Updated Dec 25, 2024
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    Seair Exim (2024). Backpack Bed For Homeless Inc Importer and Starry Solutions Private Limited Exporter Data to USA [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 25, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  18. f

    Data_Sheet_1_A Comprehensive Assessment to Enable Recovery of the Homeless:...

    • frontiersin.figshare.com
    pdf
    Updated Jun 5, 2023
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    Coline Van Everdingen; Peter Bob Peerenboom; Koos Van Der Velden; Philippe A. E. G. Delespaul (2023). Data_Sheet_1_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.661517.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Frontiers
    Authors
    Coline Van Everdingen; Peter Bob Peerenboom; Koos Van Der Velden; Philippe A. E. G. Delespaul
    License

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

    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. w

    Third General Census of Population and Housing 2005 - IPUMS Subset -...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 18, 2019
    + more versions
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    Bureau Central des Recensements et des Études de Population (2019). Third General Census of Population and Housing 2005 - IPUMS Subset - Cameroon [Dataset]. https://microdata.worldbank.org/index.php/catalog/1611
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    Dataset updated
    Apr 18, 2019
    Dataset provided by
    Bureau Central des Recensements et des Études de Population
    Minnesota Population Center
    Time period covered
    2005
    Area covered
    Cameroon
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Household

    UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Homeless; nomads

    UNIT DESCRIPTIONS: - Households: A standard household is a person or a group of people related or not, living in the same housing unit, often taking their meals together and working together on the other essential needs. This group generally recognizes the authority of one person who is called the Head of Household. - Group quarters: This is a group of people, who for non-family reasons which are mainly related to profession, health, school, denomination, or detention, live together in a specialized establishment or institution like a workers camp, military barracks, dormitories, a hospital with rooms, a convent, an orphanage, a prison.

    Universe

    All persons present in Cameroon at the time of the census, including visitors from other countries.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: Central Bureau of Census and Population Studies

    SAMPLE DESIGN: Systematic sample of every 10th dwelling with a random start, drawn by MPC

    SAMPLE FRACTION: 10%

    SAMPLE UNIVERSE: Systematic sample of every 10th dwelling with a random start, drawn by MPC

    SAMPLE SIZE (person records): 1,772,359

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Four forms: Standard household questionnaire, communal household questionnaire, nomad questionnaire, and homeless questionnaire

    Response rate

    UNDERCOUNT: No available estimate

  20. Urban Employment Unemployment Survey 2012 - Ethiopia

    • datacatalog.ihsn.org
    Updated Oct 14, 2021
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    Central Statistical Agency (CSA) (2021). Urban Employment Unemployment Survey 2012 - Ethiopia [Dataset]. https://datacatalog.ihsn.org/catalog/9670
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    Dataset updated
    Oct 14, 2021
    Dataset provided by
    Central Statistical Agencyhttps://ess.gov.et/
    Authors
    Central Statistical Agency (CSA)
    Time period covered
    2012
    Area covered
    Ethiopia
    Description

    Abstract

    Statistical information on all aspects of the population is vital for the design, implementation, monitoring and evaluation of economic and social development plan and policy issues. Labor force survey is one of the most important sources of data for assessing the role of the population of the country in the economic and social development process. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic wellbeing of the population. Statistics on the labor force further present the economic activity status and its relationship to other social and economic characteristics of the population. Seasonal and other variations as well as changes over time in the size, distribution, and characteristics of employed and unemployed population can be monitored using up-to-date information from labor force surveys. It serves as an input for assessing the achievements of the Millennium Development Goals (MDGs). Furthermore, labor force data is also useful as a springboard for monitoring and evaluation of the five years growth and transformation plan of the country.

    Geographic coverage

    The 2012 Urban Employment and Unemployment Survey (UEUS) covered all urban parts of the country except three zones of Afar, Six zones of Somali, where the residents are pastoralists.

    Analysis unit

    • Households
    • Individuals

    Universe

    This survey follows household approach and covers households residing in conventional households and thus, population residing in the collective quarters such as universities/colleges, hotel/hostel, monasteries, and homeless population etc., were not covered by this survey.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The list of households obtained from the 2007 population and housing census was used to select EAs. A fresh list of households from each EA was prepared at the beginning of the survey period. The list was then used as a frame to select 30 households from sample EAs.

    The country was divided into two broad categories - major urban centers and other urban center categories.

    Category I: In this category all regional capitals and five other major urban centers that have a high population size as compared to others were included. Each urban center in this category was considered as a reporting level. This category has a total of 16 reporting levels. To select the sample, a stratified two-stage cluster sample design was implemented. The primary sampling units were EAs of each reporting level.

    Category II: Urban centers other than those under category I were grouped into this category. A stratified three stage cluster sample design was adopted to select samples from this category. The primary sampling units were urban centers and the second stage sampling units were EAs.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The survey questionnaire was organized into seven sections. Section 1 - Area identification of the selected household Section 2 - Particulars of household members Section 3 - Economic activity status during the last seven days Section 4 - Unemployment rate and characteristics of unemployed persons Section 5 - Economic activity status the population during the last six months Section 6 - Employment in the informal sector of Employment Section 7 - Economic activity of children aged 5-17 years

    A structured questionnaire was used to solicit the required data in the survey. The draft questionnaire was tested by undertaking a pretest in selected kebeles (lower administrative unit) in Addis Ababa. Based on the pretest, the content, logical flow, layout and presentation of the questionnaire was amended. The questionnaire used in the field for data collection was prepared in Amharic language. Most questions have pre coded answers and column numbers were assigned for each question.

    Cleaning operations

    The filled-in questionnaires that were retrieved from the field were first subjected to manual editing and coding. During the fieldwork the field supervisors and the heads of branch statistical offices have checked the filled-in questionnaires and carried out some editing. However, the major editing and coding operation was carried out at the head office. All the edited questionnaires were again fully verified and checked for consistency before they were submitted to the data entry by the subject matter experts.

    Using the computer edit specifications prepared earlier for this purpose, the entered data were checked for consistencies and then computer editing, or data cleaning was made by referring back to the filled-in questionnaire. This is an important part of data processing operation in attaining the required level of data quality. Consistency checks and re-checks were also made based on frequency and tabulation results. This was done by senior programmers using CSPro software in collaboration with the senior subject experts from Manpower Statistics Team of the CSA.

    Response rate

    Response rate was 99.68%.

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Statista (2025). Rate of homelessness in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/727847/homelessness-rate-in-the-us-by-state/
Organization logo

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
Jun 23, 2025
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.

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