24 datasets found
  1. Share of homeless individuals U.S. 2023, by gender

    • statista.com
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    Statista, Share of homeless individuals U.S. 2023, by gender [Dataset]. https://www.statista.com/statistics/962171/share-homeless-people-us-gender/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, about **** percent of the estimated number of homeless individuals in the United States were male, compared to ** percent who were female.

  2. 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.

  3. 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.

  4. 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.

  5. 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

  6. c

    Base Homeless Price Prediction Data

    • coinbase.com
    Updated Dec 3, 2025
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    (2025). Base Homeless Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-base-homeless-abf1
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    Dataset updated
    Dec 3, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Base Homeless over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  7. f

    Percent distribution of homeless individuals by duration of homelessness,...

    • figshare.com
    xls
    Updated Jul 24, 2024
    + more versions
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    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by duration of homelessness, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t004
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    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Megan Odd; Amir Erfani
    License

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

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by duration of homelessness, according to selected characteristics, Nipissing District, Ontario 2021.

  8. 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.

  9. District Total Homeless Student Stability Rate

    • data.wu.ac.at
    csv, json, xml
    Updated Dec 3, 2013
    + more versions
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    Colorado Department of Education (2013). District Total Homeless Student Stability Rate [Dataset]. https://data.wu.ac.at/schema/data_colorado_gov/aWg0ai14MnRo
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 3, 2013
    Dataset provided by
    Colorado Department of Educationhttp://www.cde.state.co.us/
    Description

    The 2011-12 school year marked the sixth year in which the Colorado Department of Education calculated and reported student mobility rates. In addition, this year the state began reporting stability rates. The stability rate represents the number and percent of students who remained at a school/district without interruption throughout the school year.

  10. Percent distribution of homeless individuals by reason for housing loss,...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
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    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by reason for housing loss, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

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

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by reason for housing loss, according to selected characteristics, Nipissing District, Ontario 2021.

  11. c

    homeless coin Price Prediction Data

    • coinbase.com
    Updated Dec 3, 2025
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    (2025). homeless coin Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/homeless-coin
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    Dataset updated
    Dec 3, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset homeless coin over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  12. g

    Washington, DC, Metropolitan Area Drug Study (DC*MADS), 1991: Homeless and...

    • search.gesis.org
    Updated Jul 24, 2008
    + more versions
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    United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (2008). Washington, DC, Metropolitan Area Drug Study (DC*MADS), 1991: Homeless and Transient Population - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR02346.v1
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    Dataset updated
    Jul 24, 2008
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    Authors
    United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de455056https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de455056

    Area covered
    Washington Metropolitan Area, Washington
    Description

    Abstract (en): The DC Metropolitan Area Drug Study (DC*MADS) was conducted in 1991, and included special analyses of homeless and transient populations and of women delivering live births in the DC hospitals. DC*MADS was undertaken to assess the full extent of the drug problem in one metropolitan area. The study was comprised of 16 separate studies that focused on different sub-groups, many of which are typically not included or are underrepresented in household surveys. The Homeless and Transient Population study examines the prevalence of illicit drug, alcohol, and tobacco use among members of the homeless and transient population aged 12 and older in the Washington, DC, Metropolitan Statistical Area (DC MSA). The sample frame included respondents from shelters, soup kitchens and food banks, major cluster encampments, and literally homeless people. Data from the questionnaires include history of homelessness, living arrangements and population movement, tobacco, drug, and alcohol use, consequences of use, treatment history, illegal behavior and arrest, emergency room treatment and hospital stays, physical and mental health, pregnancy, insurance, employment and finances, and demographics. Drug specific data include age at first use, route of administration, needle use, withdrawal symptoms, polysubstance use, and perceived risk. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Response Rates: The institutional response rate (i.e., for shelters and soup kitchens) was 82.6 percent. The individual interview response rate was 86.1 percent. The overall response rate was 71 percent. Persons aged 12 and older in the DC MSA who were either literally homeless or at imminent risk of becoming homeless, including persons who spent the previous night in an emergency shelter, in a nondomicile (e.g., vacant building, city park, car, or on the street) or who were using soup kitchens or emergency food banks. The Homeless and Transient Population study consisted of 908 interviews from four overlapping sampling frames: 477 interviews with residents in 93 shelters, 224 interviews with patrons of 31 soup kitchens and food banks, 143 interviews with "literally homeless" people from 18 major cluster encampments, and 64 interviews with literally homeless people from an area probability sample of 432 census blocks in the MSA. People who were cognitively impaired and could not complete the interview were excluded from the survey. Impairment was defined as extreme intoxification or scoring more than nine on the Short Blessed Exam (Katzman, Brown, Fuld, Peck, Schecter, and Schimmel, 1983). 2008-07-24 New files were added. These files included one or more of the following: Stata setup, SAS transport (CPORT), SPSS system, Stata system, SAS supplemental syntax, and Stata supplemental syntax files, and a tab-delimited ASCII data file. Also, the CASEID variable has been added to the dataset.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse. Produced by Research Triangle Institute in Research Triangle Park, NC.

  13. Homeless people in Germany 2024, by gender

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Homeless people in Germany 2024, by gender [Dataset]. https://www.statista.com/statistics/1333384/homeless-people-gender-germany/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    As of 31 January 2024, ** percent of homeless people in Germany were men. ** percent were women and of around *** percent, the gender was unknown. Therefore, more than half of the homeless people in homeless accommodation* were men.

  14. Percent distribution of homeless individuals by sleeping location, according...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
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    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by sleeping location, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

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

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by sleeping location, according to selected characteristics, Nipissing District, Ontario 2021.

  15. Mexico: share of population with inadequate housing by state 2022

    • statista.com
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    Statista, Mexico: share of population with inadequate housing by state 2022 [Dataset]. https://www.statista.com/statistics/1042116/mexico-share-population-inadequate-housing-state/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Mexico
    Description

    In 2022, Guerrero was the Mexican state with the highest share of population considered vulnerable due to a lack of adequate housing. Over 26 percent of the inhabitants in Guerrero were considered to live in poor housing conditions or without enough space, while Nuevo Leon had the lowest rate, at 3.2 percent. Guerrero was the second state in Mexico with the highest average extreme poverty rate only behind Chiapas.

  16. Turnover rate of emergency shelters and transitional housing in the U.S....

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Turnover rate of emergency shelters and transitional housing in the U.S. 2007-2017 [Dataset]. https://www.statista.com/statistics/964796/turnover-rate-emergency-shelters-transitional-housing-us/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the turnover rate in emergency shelters and transitional housing programs in the United States from 2007 to 2017. In 2017, the turnover rate in emergency shelters was *** percent, a decrease from *** percent in 2007.

  17. Post-imputation pooled coefficient estimates (95% confidence interval) for...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair (2023). Post-imputation pooled coefficient estimates (95% confidence interval) for predictors in linear mixed models for repeated measures for continuous outcomes and rate ratios (95% confidence interval) for generalized estimating equations models for count outcomes for the sample of women in the At Home/Chez Soi study (N = 653). [Dataset]. http://doi.org/10.1371/journal.pone.0277074.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair
    License

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

    Description

    Post-imputation pooled coefficient estimates (95% confidence interval) for predictors in linear mixed models for repeated measures for continuous outcomes and rate ratios (95% confidence interval) for generalized estimating equations models for count outcomes for the sample of women in the At Home/Chez Soi study (N = 653).

  18. Post-imputation pooled change in health and social measures from baseline to...

    • plos.figshare.com
    xls
    Updated Jun 20, 2023
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    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair (2023). Post-imputation pooled change in health and social measures from baseline to 24 months among women living with mental illness and homelessness, adjusted for study city, and need level (ACT or ICM). [Dataset]. http://doi.org/10.1371/journal.pone.0277074.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair
    License

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

    Description

    Post-imputation pooled change in health and social measures from baseline to 24 months among women living with mental illness and homelessness, adjusted for study city, and need level (ACT or ICM).

  19. f

    Baseline characteristics of women participants in the Canadian At Home/Chez...

    • figshare.com
    xls
    Updated Jun 21, 2023
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    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair (2023). Baseline characteristics of women participants in the Canadian At Home/Chez Soi study by randomization group (N = 653). [Dataset]. http://doi.org/10.1371/journal.pone.0277074.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair
    License

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

    Area covered
    Canada
    Description

    Baseline characteristics of women participants in the Canadian At Home/Chez Soi study by randomization group (N = 653).

  20. Post-imputation pooled comparisons between housing first and treatment as...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair (2023). Post-imputation pooled comparisons between housing first and treatment as usual at 6, 12, 18 and 24 months for women in the At Home/Chez Soi trial adjusted for study city, need level (ICM or ACT) and baseline outcome valuesf. [Dataset]. http://doi.org/10.1371/journal.pone.0277074.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Patricia O’Campo; Rosane Nisenbaum; Anne G. Crocker; Tonia Nicholls; Faith Eiboff; Carol E. Adair
    License

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

    Description

    Post-imputation pooled comparisons between housing first and treatment as usual at 6, 12, 18 and 24 months for women in the At Home/Chez Soi trial adjusted for study city, need level (ICM or ACT) and baseline outcome valuesf.

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Statista, Share of homeless individuals U.S. 2023, by gender [Dataset]. https://www.statista.com/statistics/962171/share-homeless-people-us-gender/
Organization logo

Share of homeless individuals U.S. 2023, by gender

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

In 2023, about **** percent of the estimated number of homeless individuals in the United States were male, compared to ** percent who were female.

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