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.

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.

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

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.

This dataset contains estimates of homelessness, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth provided by The U.S. Department of Housing and Urban Development. The estimates cover the period of years 2007-2017 and are at national, state and Continuums of Care (CoC) Point-In-Time (PIT) level.

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.

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.

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

Data Prepared by Los Angeles Homeless Services AuthorityJune 26, 2019Homeless Count 2019 Dashboard MethodologyTotal number of people experiencing homelessness is the sum of (1) the sheltered population (the total number of people staying in emergency shelter, transitional housing, or safe haven programs on the night of the point-in-time count) and (2) the unsheltered population (the total number of people counted by volunteers and the estimated number of people sleeping in the dwellings counted by volunteers).

(1) The total number of people experiencing homelessness who slept in an emergency shelter, transitional housing, or safe haven program was reported to LAHSA by each provider and assigned to a census tract. For shelter programs with multiple scattered sites in the LA CoC, an administrative address is used for locating the sheltered population in this dashboard. Shelters that serve persons fleeing domestic or intimate partner violence are excluded due to confidentiality concerns. Persons receiving motel vouchers are excluded in this dashboard because the location of the motel is unknown.

(2) The total number of people experiencing homelessness who slept on the street or in a dwelling not meant for human habitation were counted by volunteers on January 22nd, 23rd, or 24th. 3,873 demographic survey interviews were conducted with persons experiencing unsheltered homelessness from December 2018 to March 2019 to describe the population’s demographics and approximate the number of people in each dwelling. The total persons in uninhabitable dwellings was estimated for each type (car, van, camper/RV, tent, or makeshift shelter) and was estimated at the SPA-level for individual and for family households and can be found on our website. Estimates of the people inside these dwellings was rounded to whole numbers for the purposes of this dashboard.Density ScoringThere are 4 columns seen in the data that represent the density of homeless Individuals per square mile. The 4 column labeled RFP-Scoring is based on the data range between the min and max of homeless calculated of LA County's Homeless Individual numbers. For break down the data is given a specific score based on the density. Below are the ranges:0=01= 1-32= 4-73= 8-114= 12-185= 19-276= 28-427= 43-638= 64-999= 100-17910= 180-5341The breakdown of the data used was quantitative statistical range for 11 categories, 0 being one of the ranges.

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.

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.

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.

Each year, homeless coalitions across the country conduct a Point in Time Count (PIT) during the same 24-hour period in January to estimate the number of persons experiencing homelessness living in their region. The PIT count includes those living in emergency shelters, transitional housing programs, and those living unsheltered on the street. The PIT count does not include homeless families and youth who are doubled up with family or friends, or those at imminent risk of becoming homeless. The numbers are a “snapshot” on a single day rather than a definitive count. Despite these limitations, the count helps communities plan for programs and services, identifies gaps in the homeless system, and provides demographic information about populations who experience homelessness.

This dataset includes key measures that have been counted during each PIT since 2019. This dataset will be updated annually.

In 2023, the estimated number of homeless people in the United States was highest in California, with about ******* homeless people living in California in that year.

In 2023, *** percent of the estimated number of homeless individuals in the United States were between the ages of 18 and 24, while *** percent were under 18.

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.

The number of deaths of homeless people in England and Wales, by sex, five-year age group and underlying cause of death, 2013 to 2021 registrations. Experimental Statistics.

This data package has the purpose to offer data for socio-economic indicators and to cover as much as possible the entire this indicator category with regard to the indicator type and to the geographic level. The major sources of the data are the U.S. Census Bureau and the U.S. Bureau for Labor Statistics. Another used sources of data are the U.S. Department of Housing and Urban Development and the U.S. Department of Housing and the U.S. Department Of Agriculture (Economic Research Service).

2007 - 2018. Annual Point in Time (PIT) Estimates of Homelessness by State. Data compiled from Annual Homeless Assessment Report (AHAR) findings conducted by HUD. From HUD: "The Annual Homeless Assessment Report (AHAR) is a HUD report to the U.S. Congress that provides nationwide estimates of homelessness, including information about the demographic characteristics of homeless persons, service use patterns, and the capacity to house homeless persons. The report is based on Homeless Management Information Systems (HMIS) data about persons who experience homelessness during a 12-month period, point-in-time counts of people experiencing homelessness on one day in January, and data about the inventory of shelter and housing available in a community." NOTE: To understand measure acronyms and collection methods, please refer to the 2018 Annual Homeless Assessment Report to Congress: https://files.hudexchange.info/resources/documents/2018-AHAR-Part-1.pdf