This statistic shows the estimated number of chronically homeless people in the United States in 2020, by state. In 2020, there were about 51,785 chronically homeless people living in California.

In 2023, there were about 653,104 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 647,258. 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.

In the 2020/21 school year, 76.8 percent of public school students experiencing homelessness in the United States were 'doubled up', defined as living temporarily with others due to loss of their own housing, for their primary nighttime residence. In that same year, 10.9 percent of homeless public school students used shelters or transitional housing as their primary nighttime residence.

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 73 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 653,104 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 243,000. 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.

This statistic shows the estimated number of chronically homeless people in the United States from 2011 to 2020, sorted by family status. In 2020, about 9,795 of the chronically homeless people in the U.S. had a family.

In 2023, there were an estimated 324,854 white homeless people in the United States, the most out of any ethnicity. In comparison, there were around 243,624 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.

This dataset displays demographics for the families and individuals residing in the Department of Homeless Services (DHS) shelter system.

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 52.1 percent within this time period.

In 2023, about 68.4 percent of the estimated number of homeless individuals in the United States were male, compared to 30 percent who were female.

The American Community Survey (ACS) 5 Year 2016-2020 socioeconomic estimate data is a subset of information derived from the following census tables:B08013 - Aggregate Travel Time To Work Of Workers By Sex;B08303 - Travel Time To Work;B17019 - Poverty Status In The Past 12 Months Of Families By Household Type By Tenure;B17021 - Poverty Status Of Individuals In The Past 12 Months By Living Arrangement;B19001 - Household Income In The Past 12 Months;B19013 - Median Household Income In The Past 12 Months;B19025 - Aggregate Household Income In The Past 12 Months;B19113 - Median Family Income In The Past 12 Months;B19202 - Median Non-family Household Income In The Past 12 Months;B23001 - Sex By Age By Employment Status For The Population 16 Years And Over;B25014 - Tenure By Occupants Per Room;B25026 - Total Population in Occupied Housing Units by Tenure by year Householder Moved into Unit;B25106 - Tenure By Housing Costs As A Percentage Of Household Income In The Past 12 Months;C24010 - Sex By Occupation For The Civilian Employed Population 16 Years And Over;B20004 - Median Earnings In the Past 12 Months (In 2015 Inflation-Adjusted Dollars) by Sex by Educational Attainment for the Population 25 Years and Over;B23006 - Educational Attainment by Employment Status for the Population 25 to 64 Years, and;B24021 - Occupation By Median Earnings In The Past 12 Months (In 2015 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over.

To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_ACS 5-Year Socioeconomic Estimate Data by CountyDate of Coverage: 2016-2020

Abstract copyright UK Data Service and data collection copyright owner.

The Homelessness Case Level Information Collection (H-CLIC) project aims to create a linked dataset of information about homelessness in England, to improve understanding of its causes and impacts. It is the result of a collaboration between the Office for National Statistics (ONS) and the Department for Levelling Up, Housing and Communities (DLUHC). The project will allow decision-makers to develop more effective policies to reduce homelessness and improve the lives of people across the country. Specifically, the H-CLIC project will involve linking data from across local authorities in England, and to other administrative datasets. The H-CLIC data records local authorities' actions under the 2017 Homelessness Reduction Act, which significantly reformed England's homelessness legislation by placing duties on local authorities to intervene at earlier stages to prevent and reduce homelessness. The H-CLIC project has three elements, some of which will be phased:

• The first aims to use the linked H-CLIC data from across local authorities to develop a better understanding of whether homelessness is resolved in the long term, particularly across local authority boundaries. This will help to establish what works to prevent homelessness, and which elements of the Homelessness Reduction Act are most effective.
• The second aims to match together H-CLIC data and the Rough Sleeping Evaluation Questionnaire to identify how effectively interventions have prevented homelessness and improved other outcomes in the longer term. DLUHC already have rough sleeping evaluations in progress that would benefit from this work.
• Finally, the third element aims to match the H-CLIC data to data gathered from other government departments/health agencies to determine the wider circumstances and outcomes of people who have experienced homelessness, such as educational outcomes, employment, benefits and health. This will enable us to identify the wider impacts and longer-term outcomes, and estimate the costs of homelessness.

The DLUHC intends to use the data to assess the implementation of the Homelessness Reduction Act, for example by identifying the factors associated with better or worse outcomes for households at risk of homelessness and to understand more about the factors that drive homelessness and how best to address them.

Ultimately, the project will provide central government departments, local public services and delivery partners with valuable information about the cycle of homelessness and its impact on the lives of those it affects, as well as the impact and cost-benefit of interventions and services targeted at reducing homelessness. The information should be useful to inform future service design and reform and investment decisions.

Further information, including reports and tables, may be found on the Gov.uk Homelessness Statistics Collection webpage.

For the second edition (August 2024), data files for 2020-2021 and 2021-2022 have been added, and the data file for 2019-2020 has been updated to include additional cases. The documentation has also been expanded and updated.

Main Topics:

The variables include:

• Local authority code, name and region;
• Assessment of the household’s homelessness circumstances; year and the quarter of the original assessment of circumstances and needs;
• Household's accommodation arrangements at the time of their homeless application; household's last settled accommodation; main reason for loss of last settled home;
• Household type; ethnic group, age, gender, nationality and employment status of the main applicant; employment status of the main applicant's partner if in same household;
• Main prevention activity undertaken by the local authority as part of the Prevention Duty and reason for that; household’s accommodation when the Prevention Duty ended;
• Main relief activity that was undertaken by the local authority as part of the Relief Duty; reason the Relief Duty was ended; whether household was homeless at the end of Relief;
• Coded outcome of the decision on what duty (if any) is owed; household’s accommodation following that decision;
• Year and quarter that the household entered and left local authority temporary accommodation;
• Whether the household is in receipt of housing benefits or means-tested benefits;
• Whether under support needs the household includes:
  • Anyone in specific categories covering young persons, young parents, care leavers, older people, anyone with physical/mental ill health and/or a physical or learning disability;
  • anyone who has experience of, or is at risk of, specific types of exploitation or abuse;
  • anyone with drug or alcohol dependency needs, or with an...

Graph and download economic data for Consumer Price Index for All Urban Consumers: Shelter in U.S. City Average (CUSR0000SAH1) from Jan 1953 to Feb 2025 about shelter, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

This dataset contains two tables on the percent of household overcrowding (> 1.0 persons per room) and severe overcrowding (> 1.5 persons per room) for California, its regions, counties, and cities/towns. Data is from the U.S. Department of Housing and Urban Development (HUD), Comprehensive Housing Affordability Strategy (CHAS) and U.S. Census American Community Survey (ACS). The table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity: Healthy Communities Data and Indicators Project of the Office of Health Equity. Residential crowding has been linked to an increased risk of infection from communicable diseases, a higher prevalence of respiratory ailments, and greater vulnerability to homelessness among the poor. Residential crowding reflects demographic and socioeconomic conditions. Older-adult immigrant and recent immigrant communities, families with low income and renter-occupied households are more likely to experience household crowding. A form of residential overcrowding known as "doubling up"—co-residence with family members or friends for economic reasons—is the most commonly reported prior living situation for families and individuals before the onset of homelessness. More information about the data table and a data dictionary can be found in the About/Attachments section.The household crowding table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf
The format of the household overcrowding tables is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

In Los Angeles, the number of deaths among people experiencing homelessness (PEH) progressively increased between 2014 and 2020. From 2019 to 2020, there was an increase of 40 percent in deaths among PEH, reaching 1,776 deaths in 2020. This statistic depicts the number of deaths among PEH between 2014 and 2020 in Los Angeles County.

Graph and download economic data for Homeownership Rate for the United States (USHOWN) from 1984 to 2024 about homeownership, housing, rate, and USA.

In Los Angeles County, the number of deaths among people experiencing homelessness (PEH) had an overall increase when comparing the 12 months pre- and post-COVID-19. Among the leading death causes, drug overdose reported the biggest increase of 78 percent. Additionally, COVID-19 was the third leading cause of death from April 1, 2020 to March 31, 2021, resulting in 179 deaths during that time. This statistic depicts the number of deaths among people experiencing homelessness, 12 months pre- and post-COVID-19 pandemic, in Los Angeles County, by cause of death.

In the United States in 2023, 89.2 percent of the homeless population living in El Dorado County, California were unsheltered.

This statistic depicts the share of select special populations among patients in health centers comparing it with the share among the total U.S. population in 2020. Among health center patients, persons experiencing homelessness made up 5 percent compared to a 0.2 percent share in the overall U.S. population.