61 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/
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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.

  2. 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.

  3. C

    People Receiving Homeless Response Services by Age, Race, Gender, Veteran...

    • data.ca.gov
    • catalog.data.gov
    csv, docx
    Updated Nov 13, 2025
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    California Interagency Council on Homelessness (2025). People Receiving Homeless Response Services by Age, Race, Gender, Veteran Status, and Disability Status [Dataset]. https://data.ca.gov/dataset/homelessness-demographics
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    csv(6756), csv(21402), docx(26383), csv(182753), csv(449722), csv(78821), csv(157106)Available download formats
    Dataset updated
    Nov 13, 2025
    Dataset authored and provided by
    California Interagency Council on Homelessness
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Yearly statewide and by-Continuum of Care total counts of individuals receiving homeless response services by age group, race, gender, veteran status, and disability status.

    This data comes from the Homelessness Data Integration System (HDIS), a statewide data warehouse which compiles and processes data from all 44 California Continuums of Care (CoC)—regional homelessness service coordination and planning bodies. Each CoC collects data about the people it serves through its programs, such as homelessness prevention services, street outreach services, permanent housing interventions and a range of other strategies aligned with California’s Housing First objectives.

    The dataset uploaded reflects the 2024 HUD Data Standard Changes. Previously, Race and Ethnicity were separate files but are now combined.

    Information updated as of 11/13/2025.

  4. c

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

    • consumershield.com
    csv
    Updated Jun 9, 2025
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    ConsumerShield Research Team (2025). Number of Homeless People in U.S. (2007-2024) [Dataset]. https://www.consumershield.com/articles/how-many-homeless-us
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    csvAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States
    Description

    The graph displays the estimated number of homeless people in the United States from 2007 to 2024. The x-axis represents the years, ranging from 2007 to 2023, while the y-axis indicates the number of homeless individuals. The estimated homeless population varies over this period, ranging from a low of 57,645 in 2014 to a high of 771,000 in 2024. From 2007 to 2013, there is a general decline in numbers from 647,258 to 590,364. In 2014, the number drops significantly to 57,645, followed by an increase to 564,708 in 2015. The data shows fluctuations in subsequent years, with another notable low of 55,283 in 2018. From 2019 onwards, the estimated number of homeless people generally increases, reaching its peak in 2024. This data highlights fluctuations in homelessness estimates over the years, with a recent upward trend in the homeless population.

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

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

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

  6. 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.

  7. Homeless Students in Arkansas Data Set

    • kaggle.com
    zip
    Updated Sep 1, 2025
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    Glory Smith (2025). Homeless Students in Arkansas Data Set [Dataset]. https://www.kaggle.com/datasets/glorysmith/homeless-students-in-arkansas-data-set
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    zip(94822 bytes)Available download formats
    Dataset updated
    Sep 1, 2025
    Authors
    Glory Smith
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Arkansas
    Description

    Homeless Students in Arkansas (2024–25): What the data says

    TL;DR: 10.9k Arkansas students experienced homelessness in 2024–25 (0.8% of enrollment). Most are “Doubled Up”, sharing housing because of loss of housing or economic hardship. Geography matters: large, fast-growing counties report the highest counts even when they aren’t the poorest, and poverty explains much but not all of variation in homelessness.

    Data & Method

    Sources: Arkansas Department of Education 2024–2025; NIH poverty estimates (see workbook notes).

    Unit of analysis: county-level counts of students

    Tools: Tableau Public dashboard + worksheets; regression overlay on county scatter.

    What to look at in the dashboard

    County Map – Homeless students by county. Use the map to spot hotspots, hover for counts and enrollment context.

    Housing Type Breakdown – Statewide composition: Doubled-Up 89.3%, Awaiting Foster Care 4.9%, Hotels/Motels 3.9%, Unsheltered 1.9%. Hidden homelessness dominates the lived experience of students.

    Poverty vs. Homeless Students (Scatter) – A clear positive relationship (R² ≈ 0.59, p < 0.0001) indicates poverty is a strong driver, but not the whole story—some populous counties sit above/below the line.

    County Comparison Bars – For larger counties (e.g., Benton, Pulaski, Washington), most identified students are Doubled-Up, and that share typically ranges 80–92%, underscoring the need for family-stability interventions.

    Key findings

    Scale: ~10,872 students (≈0.8% of 1.46M enrollment) were identified as experiencing homelessness statewide.

    Geography ≠ poverty alone: Benton County reports the highest count despite not being among the highest poverty counties, reflecting population growth and housing pressure.

    Mechanism: “Doubled Up” is the dominant pathway into homelessness for students. It's far more common than shelters, motels, or unsheltered situations. Supports that keep families stably housed (rent/utility assistance, eviction prevention, rapid re-housing) are likely to reach the largest group.

    How analysts can use this

    Targeting: Combine county counts with local enrollment to compute rates and flag counties that are high count and high rate for prioritization.

    Program design: Given the 89% Doubled Up share, expect needs around transportation, documentation, and quick stabilization rather than shelter capacity alone.

    Further work: Add rental vacancy, eviction filings, and new construction permits to the model to explain outliers.

    Caveats

    Counts reflect identification, not true prevalence; under identification is common for Doubled Up students.

    County differences may reflect district identification practices and local resources.

    Exploration tips: Use the dashboard’s tooltips, legend toggles (to isolate housing types), and the regression line on the scatter to compare counties to the statewide trend.

  8. a

    Homeless Population Point in Time Count (2007 - 2023)

    • live-durhamnc.opendata.arcgis.com
    Updated Jun 18, 2025
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    City and County of Durham, NC (ArcGIS Online) (2025). Homeless Population Point in Time Count (2007 - 2023) [Dataset]. https://live-durhamnc.opendata.arcgis.com/datasets/homeless-population-point-in-time-count-2007-2023-1
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    City and County of Durham, NC (ArcGIS Online)
    Description

    The data set provides detail surrounding the results of the Durham City and County CoC Point-in-Time (PIT) count from 2007-2023.The Point-in-Time (PIT) Count is a count of sheltered and unsheltered people experiencing homelessness on a single night in January. HUD requires that Continuum of Cares (CoCs), such as Durham City and County, conduct an annual count of people experiencing homeless who are sheltered in emergency shelter, transitional housing, and Safe Havens on a single night. CoCs also must conduct a count of unsheltered people experiencing homelessness every other year (odd numbered years). Each count is planned, coordinated, and carried out locally.Updated yearly.Publisher: https://www.hudexchange.info/programs/hdx/pit-hic/#pit-count-and-hic-data-and-reportsCommunity Development Department | Durham, NC (durhamnc.gov)

  9. Resident population in California 1960-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Resident population in California 1960-2023 [Dataset]. https://www.statista.com/statistics/206097/resident-population-in-california/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    California, United States
    Description

    In 2023, the resident population of California was ***** million. This is a slight decrease from the previous year, with ***** million people in 2022. This makes it the most populous state in the U.S. Californian demographics Along with an increase in population, California’s gross domestic product (GDP) has also been increasing, from *** trillion U.S. dollars in 2000 to **** trillion U.S. dollars in 2023. In the same time period, the per-capita personal income has almost doubled, from ****** U.S. dollars in 2000 to ****** U.S. dollars in 2022. In 2023, the majority of California’s resident population was Hispanic or Latino, although the number of white residents followed as a close second, with Asian residents making up the third-largest demographic in the state. The dark side of the Golden State While California is one of the most well-known states in the U.S., is home to Silicon Valley, and one of the states where personal income has been increasing over the past 20 years, not everyone in California is so lucky: In 2023, the poverty rate in California was about ** percent, and the state had the fifth-highest rate of homelessness in the country during that same year, with an estimated ** homeless people per 10,000 of the population.

  10. Change in total homelessness in the U.S. by state 2022-2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Change in total homelessness in the U.S. by state 2022-2023 [Dataset]. https://www.statista.com/statistics/727029/homelessness-percentage-change-in-the-us-by-state/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Between 2022 and 2023, New Hampshire had the highest positive percentage change in the estimated number of homeless people in the United States, with the number of homeless people living in New Hampshire increasing by **** percent within this time period.

  11. g

    Annual Estimates of the Homeless Population in B.C. | gimi9.com

    • gimi9.com
    Updated Sep 10, 2024
    + more versions
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    (2024). Annual Estimates of the Homeless Population in B.C. | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_fbb1584f-7f93-47e7-8001-16e3087bddea
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    Dataset updated
    Sep 10, 2024
    Area covered
    British Columbia
    Description

    BC Stats (with partners at the Ministry of Housing, Ministry of Social Development and Poverty Reduction (SDPR), and BC Housing) has developed aggregated summary statistics estimating the homeless population in B.C. These estimates were derived from three administrative service use datasets from the Data Innovation Program (DIP): shelter use from BC Housing, social assistance payments from SDPR, demographic information from the Health medical service plan (MSP) central demographics file. The analytic definition of homelessness includes individuals who received income assistance with no fixed address for at least three consecutive months or those who visited a shelter at any time throughout the year. Estimates have been aggregated into four tables: * Annual estimates of the homeless population by age and gender * Annual estimates of the homeless population by chronicity category (chronic vs non-chronic homelessness) * Annual estimates of the homeless population by census division * Monthly estimates of the homeless population by service use (income assistance with no fixed address, shelter use, or both) \ Estimates are available for 2019-2022. Full methodology details are available in the Homeless Cohort Development - Technical Documentation resource.

  12. O

    Cambridge Homeless Point-in-Time Count data: 2012-present

    • data.cambridgema.gov
    csv, xlsx, xml
    Updated Jul 21, 2025
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    Cambridge Department of Human Service Programs (2025). Cambridge Homeless Point-in-Time Count data: 2012-present [Dataset]. https://data.cambridgema.gov/w/ify2-i22z/t8rt-rkcd?cur=t6gpETQ4qNt
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    Cambridge Department of Human Service Programs
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This dataset includes Point-in-Time (PIT) data collected in Cambridge between 2012 and 2025. The PIT count is a count of sheltered and unsheltered homeless persons on a single night in January. The U.S. Department of Housing and Urban Development (HUD) requires that communities receiving funding through the Continuum of Care (CoC) Program conduct an annual count of homeless persons on a single night in the last 10 days of January, and these data contribute to national estimates of homelessness reported in the Annual Homeless Assessment Report to the U.S. Congress. This dataset is comprised of data submitted to, and stored in, HUD’s Homelessness Data Exchange (HDX).

    This dataset includes basic counts and demographic information of persons experiencing homelessness on each PIT date from 2012-2025. The dataset contains three rows for each year, including one row for each housing type: Emergency Shelter, Transitional Housing, or Unsheltered. The dataset also includes housing inventory counts of the number of shelter and transitional housing units available on each of the PIT count dates.

    Information about persons staying in emergency shelters and transitional housing units is exported from the Homeless Management Information System (HMIS), which is the primary database for recording client-level service records. Information about persons in unsheltered situations is compiled by first conducting an overnight street count of persons observed sleeping outdoors on the PIT night to establish the total number of unsheltered persons. Demographic information for unsheltered persons is then extrapolated by utilizing assessment data collected by street outreach workers during the 7 days following the PIT count.

  13. Homelessness & Shelter Data

    • kaggle.com
    zip
    Updated Jul 29, 2025
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    Shamim Hasan (2025). Homelessness & Shelter Data [Dataset]. https://www.kaggle.com/datasets/shamimhasan8/homelessness-and-shelter-data/code
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    zip(21643 bytes)Available download formats
    Dataset updated
    Jul 29, 2025
    Authors
    Shamim Hasan
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset contains daily records of shelter capacity, number of people sheltered, and estimated homeless population across various urban locations. It includes demographic details such as average age, percentage of families, veterans, and disabled individuals, along with seasonal temperature data. The dataset is designed to support analysis and prediction of shelter demand, resource planning, and understanding factors influencing homelessness.

  14. 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
    London, United Kingdom (England)
    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.

  15. w

    Point In Time Report

    • data.wu.ac.at
    • opendata.howardcountymd.gov
    csv, json, xml
    Updated Nov 16, 2017
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    Department of Community Resources and Services (2017). Point In Time Report [Dataset]. https://data.wu.ac.at/schema/data_maryland_gov/ZHlybS1leWp4
    Explore at:
    json, xml, csvAvailable download formats
    Dataset updated
    Nov 16, 2017
    Dataset provided by
    Department of Community Resources and Services
    Description

    Each Continuim of Care(CoC) is required by (Housing and Urban Development) HUD to conduct a Point-In-Time count of the Sheltered and Unsheltered Homeless population biennially

  16. T

    Homeless by Race 2022

    • corstat.coronaca.gov
    • splitgraph.com
    csv, xlsx, xml
    Updated Oct 12, 2022
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    County of Riverside (2022). Homeless by Race 2022 [Dataset]. https://corstat.coronaca.gov/dataset/Homeless-by-Race-2022/fn7w-hry5
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Oct 12, 2022
    Dataset authored and provided by
    County of Riverside
    Description

    The racial demographics of the homeless population in Corona, CA.

  17. a

    Persons Experiencing Homelessness

    • ph-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +3more
    Updated Dec 19, 2023
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    County of Los Angeles (2023). Persons Experiencing Homelessness [Dataset]. https://ph-lacounty.hub.arcgis.com/datasets/persons-experiencing-homelessness
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    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

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

  18. Population demographics.

    • plos.figshare.com
    xls
    Updated Jan 8, 2025
    + more versions
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    Grace Phillips; Emmy Racine; Anna Marie Naughton; Julieann Lane; Patricia M. Kearney (2025). Population demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0312617.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 8, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Grace Phillips; Emmy Racine; Anna Marie Naughton; Julieann Lane; Patricia M. Kearney
    License

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

    Description

    BackgroundEnsuring effective access to vaccinations for people experiencing homelessness is crucial to protecting the health of a vulnerable, yet often overlooked population. Reaching this goal takes more than a one size fits all approach. This study evaluates how a dedicated health team collaborated with multiple agencies to register and deliver the COVID-19 vaccine to people experiencing homelessness.MethodsThis is a mixed methods study co-designed with the Adult Homeless Integrated Team, a multi-disciplinary team who work with local agencies to provide care to people experiencing homelessness in Cork, Ireland’s second largest city. Quantitative data collected at the point of vaccine registration described socio-demographics of the population. To explain the quantitative findings, eleven agencies involved in provision of homeless services were invited to participate in interviews. A manager in each of the agencies acted as a gatekeeper to clients. Interviews explored experiences with the pandemic and the delivery (staff) or receipt (clients) of the COVID-19 vaccine. Interviews were recorded and transcribed, transcriptions were thematically analysed.ResultsThere were 728 vaccine doses administered to people experiencing homelessness during the first roll-out of vaccines; 401 first doses and 325 second doses. Of those who received a vaccine, the majority were male (76%), and more than half were Irish (55%). Ten semi-structured interviews, seven staff members and three clients, were conducted. There were three themes that provided further insights into the quantitative findings: Adapting to unprecedented times, Misinformation causing vaccine hesitancy and The importance of building relationships.ConclusionsThis study provides valuable insights into how a multidisciplinary approach resulted in a successful well received vaccination programme among a traditionally hard to reach group.

  19. T

    Point In Time (PIT) Count, 2019-2024

    • internal.chattadata.org
    • chattadata.org
    • +1more
    csv, xlsx, xml
    Updated May 28, 2024
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    Chattanooga Regional Homeless Coalition (2024). Point In Time (PIT) Count, 2019-2024 [Dataset]. https://internal.chattadata.org/Social-Services/Point-In-Time-PIT-Count-2019-2024/tb7b-wx4v
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    May 28, 2024
    Dataset authored and provided by
    Chattanooga Regional Homeless Coalition
    Description

    The PIT Count is a yearly study mandated by the U.S. Department of Housing and Urban Development to understand the number of unduplicated individuals experiencing homelessness in Hamilton County, TN on a single night in January. Data for the southeast Tennessee region was not broken down by County until 2019.

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    Point-In-Time Homeless Counts

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    csv, xlsx, xml
    Updated Sep 14, 2018
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    (2018). Point-In-Time Homeless Counts [Dataset]. https://internal.open.piercecountywa.gov/Social-Services/Point-In-Time-Homeless-Counts/242n-66pq
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Sep 14, 2018
    Description

    The Homeless Housing and Assistance Act requires that each county In Washington State conduct an annual point in time count of sheltered and unsheltered homeless persons. This census is conducted in accordance with the requirements of the U.S. Department of Housing and Urban Development (HUD). The 2018 Point in Time Count (PIT) took place on January 25, 2018.

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

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

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

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