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

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

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

  2. c

    Top 15 States by Estimated Number of Homeless People in 2024

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

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

    Area covered
    United States
    Description

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

  3. d

    Point Time Count

    • catalog.data.gov
    • data.austintexas.gov
    Updated Oct 25, 2025
    + more versions
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    data.austintexas.gov (2025). Point Time Count [Dataset]. https://catalog.data.gov/dataset/point-time-count
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    Dataset updated
    Oct 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    Point in Time Count Numbers for 2007 to 2018 from HUD, which counts the number of people experiencing homelessness at the federal, state, and local level. https://www.hudexchange.info/resource/5783/2018-ahar-part-1-pit-estimates-of-homelessness-in-the-us/

  4. A

    Directory Of Homeless Drop- In Centers

    • data.amerigeoss.org
    • data.cityofnewyork.us
    • +4more
    csv, json, rdf, xml
    Updated Sep 10, 2018
    + more versions
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    United States (2018). Directory Of Homeless Drop- In Centers [Dataset]. https://data.amerigeoss.org/bg/dataset/directory-of-homeless-drop-in-centers-0786e
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    json, csv, rdf, xmlAvailable download formats
    Dataset updated
    Sep 10, 2018
    Dataset provided by
    United States
    Description

    List of centers where homeless people are provided with hot meals, showers, medical help and a place to sleep

  5. vulnerable groups

    • kaggle.com
    zip
    Updated May 10, 2024
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    willian oliveira (2024). vulnerable groups [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/vulnerable-groups
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    zip(449 bytes)Available download formats
    Dataset updated
    May 10, 2024
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    this graph was created in PowerBi,R and Loocker studio:

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Ff21bb298c472dbc4bed21ef6dda71d5e%2Fgraph1.jpg?generation=1715375554075996&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fea25ef2b4f987b1c37d85ce0b24180ce%2Fgraph2.jpg?generation=1715375559925771&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F69022bdb532b6b315c2ac7261d211868%2Fgraph3.png?generation=1715375565218326&alt=media" alt="">

    This topic page studies available data and empirical evidence on homelessness, focusing specifically on how it affects people in high-income countries. Homeless people are among the most vulnerable groups in high-income countries.

    You can read our topic page on Extreme Poverty if you are interested in a broader perspective on economic deprivation and a perspective beyond high-income countries.

    Homeless people in the US What data is available? One of the most common ways to measure homelessness is through so-called 'point-in-time' counts of people who are sleeping in shelters or on the streets. These are figures that are intended to reflect the number of people who are homeless 'on any given night'.

    The main source of point-in-time estimates in the US is the Department of Housing and Urban Development, which releases the Annual Homeless Assessment Report to Congress (AHARC). They calculate 'point-in-time' estimates by counting homeless people in late January of each year.

    The main underlying sources of data used to produce the figures published in the AHARC are (i) registries from shelters and (ii) counts and estimates of sheltered and unsheltered homeless persons provided by care organizations, as part of their applications for government funding.

    The counts from the care organizations (called 'Continuums of Care' in the US) come from active counts that are undertaken at the community level, by walking around the streets, using pre-established methodologies.1

    In these figures, 'Sheltered Homelessness' refers to people who are staying in emergency shelters, transitional housing programs, or safe havens. 'Unsheltered Homelessness', on the other hand, refers to people whose primary nighttime residence is a public or private place not designated for, or ordinarily used as, a regular sleeping accommodation for people – for example, the streets, vehicles, or parks.2

  6. NYC DHS Daily Report

    • kaggle.com
    zip
    Updated Dec 1, 2019
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    City of New York (2019). NYC DHS Daily Report [Dataset]. https://www.kaggle.com/datasets/new-york-city/nyc-dhs-daily-report
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    zip(132899 bytes)Available download formats
    Dataset updated
    Dec 1, 2019
    Dataset authored and provided by
    City of New York
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    New York
    Description

    Content

    This dataset includes the daily number of families and individuals residing in the Department of Homeless Services (DHS) shelter system and the daily number of families applying to the DHS shelter system.

    Context

    This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

    Cover photo by Matt Collamer on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  7. a

    Mapping Homeless Safe Space Resources in Louisville

    • help-desk-centerforgis.hub.arcgis.com
    • cartocards-centerforgis.hub.arcgis.com
    Updated Mar 31, 2022
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    University of Louisville Center for GIS (2022). Mapping Homeless Safe Space Resources in Louisville [Dataset]. https://help-desk-centerforgis.hub.arcgis.com/datasets/mapping-homeless-safe-space-resources-in-louisville
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    Dataset updated
    Mar 31, 2022
    Dataset authored and provided by
    University of Louisville Center for GIS
    Area covered
    Louisville
    Description

    This study examines the spatial patterns of homelessness and resources for the homeless population in Louisville, KY with the goal of identifying where homeless populations are located in relation to resources. Working with census data and some of the resources for the homeless, this study uncovers the realities that the homeless face in different parts of the city. This research research was made as a senior thesis for the University of Louisville's department of Geographic and Environmental Sciences. Table 1. Income and Poverty between the United States and Louisville/Jefferson County metro government, Kentucky in 2019 (United States Census Bureau 2021)Homeless people are thought of as less than full citizens. Whether the rest of the city's people agree or disagree, they are citizens, and should have rights to the city as much as everyone else. The opioid crisis, unmanaged mental illnesses, lack of employment, and other issues like limitations on affordable housing have increased the population of homeless people in Louisville in recent years (Reed 2021). More than 1.5 million children experience homelessness in the United States (Poverty USA 2019). The poverty rate in Louisville, Kentucky is 15.9%, and 1 in 10 renters were facing eviction as of 2019. The 2019 Point In Time Count shows that on a randomly picked night in Louisville, 1071 of the city's people are experiencing homelessness, which is an increase of 15% from the 2018 count (Coalition for the Homeless 2019). The previous data compared to the count for 2020 of 1102 people, shows a trend in increasing homeless population (Coalition for the Homeless 2020).

  8. ACF/HUD Letter to Support Collaboration to Prevent and End Homelessness

    • data.virginia.gov
    • catalog.data.gov
    html
    Updated Sep 6, 2025
    + more versions
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    Administration for Children and Families (2025). ACF/HUD Letter to Support Collaboration to Prevent and End Homelessness [Dataset]. https://data.virginia.gov/dataset/acf-hud-letter-to-support-collaboration-to-prevent-and-end-homelessness
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    htmlAvailable download formats
    Dataset updated
    Sep 6, 2025
    Dataset provided by
    Administration for Children and Families
    Description

    May 29, 2014

    Dear Colleague:

    May is National Foster Care Month, a time for our Nation to reaffirm its commitment to America’s children. Last year, roughly 200,000 young people entered into foster care because of abuse and/or neglect. Inadequate housing was a factor in many of these cases. In fact, every year, inadequate housing contributes to the removal of 22,000 children from their families. This can have lasting consequences for young people.

    Research shows that children facing housing instability, homelessness, and poverty are more likely to be involved in the child welfare system. When a family is living in distressed conditions or experiencing homelessness, it can affect their ability to care for their kids, and it can have a negative impact on the ability of kids to learn in school, maintain good health, and keep their hope for the future. With this in mind, it is critical that we do everything we can to provide them with the safe and stable housing they need to succeed.

    To achieve this goal, it is critical that all of us—Federal agencies, public housing authorities, Continuums of Care, and local child welfare agencies—closely collaborate with each other. The needs of families are diverse. Some need intensive support and long-term access to appropriate services. Others simply need financial assistance to care for their children. In many cases, neither child welfare agencies nor programs aimed at preventing homelessness can meet all of these needs alone.

    The programs authorized by title IV-B of the Social Security Act provide a limited pool of funds to prevent the removal of children from their homes or to help those in foster care reunite with their families. In general, states use title IV-B funds for short-term, crisis-driven interventions and services, which may include one-time assistance with housing, utilities, or other related housing costs. For many of these families, gaining access to reliable housing supports, such as provided through HUD’s Housing Choice Voucher (HCV) or public housing programs, can provide the key to a stable future.

    We know that families are more likely to remain housed if they have a targeted service paired with appropriate housing that meets their needs. Through close collaboration, child welfare agencies and public housing agencies can provide these paired services to keep families and youth in safe and appropriate housing. One example is HUD’s Family Unification Program (FUP).

    A special purpose voucher program, FUP demonstrates how local partnerships can address housing needs for families using child welfare services and youth aging out of foster care. Similarly, public housing agencies and child welfare agencies can come together to establish a local preference for families referred by child welfare and couple this housing assistance with supportive services. Child welfare agencies can also collaborate with private multifamily housing owners that provide HUD-assisted rental assistance, or by partnering with state or local housing agencies to develop local affordable housing through the Low-Income Housing Tax Credit (LIHTC) and HUD’s HOME Investment Partnerships Program. Together, child welfare agencies, housing agencies, and Continuums of Care can create an array of housing interventions to serve these children, youth, and families better.

    Currently, The Children’s Bureau has two sets of grants aimed at providing more information about successful housing interventions for these vulnerable families. One develops strategies for homeless youth and the other targets homeless families. HUD and the U.S. Department of Health and Human Services’ Administration for Children and Families will continue working together to develop and disseminate information about promising practices and strategies for serving this population.

    Opening Doors: The Federal Strategic Plan to End Homelessness recognizes the critical needs of youth and families by designating them as two prio

  9. Bartow County, GA, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
    + more versions
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    Point2Homes (2025). Bartow County, GA, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/GA/Bartow-County-Demographics.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Bartow County, Georgia, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 70 more
    Description

    Comprehensive demographic dataset for Bartow County, GA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  10. d

    May 1960 Puerto Montt, Valdivia, Chile Images

    • datasets.ai
    • gimi9.com
    • +3more
    0, 25
    Updated Nov 11, 2020
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    National Oceanic and Atmospheric Administration, Department of Commerce (2020). May 1960 Puerto Montt, Valdivia, Chile Images [Dataset]. https://datasets.ai/datasets/may-1960-puerto-montt-valdivia-chile-images
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    25, 0Available download formats
    Dataset updated
    Nov 11, 2020
    Dataset authored and provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    Area covered
    Valdivia, Chile, Puerto Montt
    Description

    On May 22, 1960, a Mw 9.5 earthquake, the largest earthquake ever instrumentally recorded, occurred in southern Chile. The series of earthquakes that followed ravaged southern Chile and ruptured over a period of days a 1,000 km section of the fault, one of the longest ruptures ever reported. The number of fatalities associated with both the earthquake and tsunami has been estimated to be between 490 and 5,700. Reportedly there were 3,000 injured, and initially there were 717 missing in Chile. The Chilean government estimated 2,000,000 people were left homeless and 58,622 houses were completely destroyed. Damage (including tsunami damage) was more than $500 million U.S. dollars.

  11. Path model logistic regression results for participant characteristics and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Serena Rajabiun; Kendra Davis-Plourde; Melinda Tinsley; Emily K. Quinn; Deborah Borne; Manisha H. Maskay; Thomas P. Giordano; Howard J. Cabral (2023). Path model logistic regression results for participant characteristics and navigation activity level with housing stability and HIV health outcomes, HRSA/SPNS Building a Medical Home for Multiply diagnosed HIV homeless populations 9 sites in the US, 2013–2017 (n = 471). [Dataset]. http://doi.org/10.1371/journal.pone.0239190.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Serena Rajabiun; Kendra Davis-Plourde; Melinda Tinsley; Emily K. Quinn; Deborah Borne; Manisha H. Maskay; Thomas P. Giordano; Howard J. Cabral
    License

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

    Description

    Path model logistic regression results for participant characteristics and navigation activity level with housing stability and HIV health outcomes, HRSA/SPNS Building a Medical Home for Multiply diagnosed HIV homeless populations 9 sites in the US, 2013–2017 (n = 471).

  12. Interview guide used for members of the social surroundings of homeless...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    + more versions
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    Giulio Borghi; Pascal Caillet; Sylvaine Devriendt; Maxime Lebeaupin; Maud Poirier; Juan-Diego Poveda (2023). Interview guide used for members of the social surroundings of homeless pregnant women or homeless women in the postpartum period. [Dataset]. http://doi.org/10.1371/journal.pone.0280273.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Giulio Borghi; Pascal Caillet; Sylvaine Devriendt; Maxime Lebeaupin; Maud Poirier; Juan-Diego Poveda
    License

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

    Description

    Interview guide used for members of the social surroundings of homeless pregnant women or homeless women in the postpartum period.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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

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

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

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