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.

Table of homeless population by Year (for years 2009 through 2012)

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.

"Ratio of Homeless Population to General Population in major US Cities in 2011. *This represents a list of large U.S. cities for which DHS was able to confirm a recent estimate of the unsheltered population. A 2011 result is available for Seattle, WA, Miami, FL, and Boston, MA.. 2011 results are not yet available for the other cities, and their 2009 data are displayed in this chart. General population figures are 2010 estimates in New York, San Francisco, and Chicago, and 2009 estimates elsewhere."

This report outlines the key findings of the annual Point-In-Time (PIT) count and Housing Inventory Count (HIC) conducted in January of each year. Specifically, this report provides estimates of homelessness self-reported, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth.

Current link at the time of dataset creation: https://www.hudexchange.info/resource/4832/2015-ahar-part-1-pit-estimates-of-homelessness/

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.

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.

Comprehensive dataset containing 3,632 verified Homeless shelter businesses in United States with complete contact information, ratings, reviews, and location data.

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

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).

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.

This dataset includes data starting from 01/03/2021. For older records, please refer to https://data.cityofnewyork.us/d/dwrg-kzni

This data tracks the number of beds available for runaway and homeless youth and young adults as well as the number and percent vacant. Data include Crisis Shelters, Crisis Shelters HYA (Homeless Young Adults), Transitional Independent Living, and Transitional Independent Living HYA. For more information about programs, visit https://www1.nyc.gov/site/dycd/services/services.page and https://discoverdycd.dycdconnect.nyc/home. For the RHY Data Collection, please follow this link.

The Annual Homelessness 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.***Microdata: YesLevel of Analysis: Shelters, Continuum of CareVariables Present: YesFile Layout: .xslxCodebook: Yes Methods: YesWeights (with appropriate documentation): YesPublications: YesAggregate Data: Yes

The purpose of the San Mateo County Homeless Census and Survey is to gather and analyze information to help us understand who is homeless in our community, why they are homeless and what interventions they need to end their homelessness. This data forms the basis for effective planning to solve this complex and longstanding problem. The San Mateo County Human Services Agency’s Center on Homelessness the San Mateo County Continuum of Care Steering Committee were responsible for overseeing this data collection effort, with assistance from a broad group of community partners, including non-profit social service providers, city and town governments, and homeless and formerly homeless individuals. The Census and Survey was designed to meet two related sets of data needs. The first is the requirement of the U.S. Department of Housing and Urban Development (HUD) that communities applying for McKinney-Vento Homelessness Assistance funds (also known as Continuum of Care or “CoC” funds) must conduct a point-in-time count of homeless people a minimum of every two years. These counts are required to take place in the last ten days of January.

The purpose of the Continuum of Care (CoC) Homeless Assistance Programs is to reduce the incidence of homelessness in CoC communities by assisting homeless individuals and families in quickly transitioning to self-sufficiency and permanent housing. The programs administered by HUD award funds competitively and require the development of a Continuum of Care system in the community where assistance is being sought. A continuum of care system is designed to address the critical problem of homelessness through a coordinated community-based process of identifying needs and building a system to address those needs. The approach is predicated on the understanding that homelessness is not caused merely by a lack of shelter, but involves a variety of underlying, unmet needs - physical, economic, and social. Funds are granted based on the competition following the Notice of Funding Availability (NOFA).

Welcome to the survey of PHA Engagement with Homeless Households. Department of Housing and Urban Development (HUD) has contracted with Abt Associates and its subsidiary Abt SRBI to conduct this survey. The information collected will allow researchers to explore and document how Public Housing Authorities (PHAs) currently serve homeless households. Our purpose is to establish a baseline level of PHAs’ current engagement in serving homeless households and to better understand the current opportunities provided by PHAs that have an explicit preference for homeless households. Findings of this study will enable HUD to:

--identify the variety of mechanisms that PHAs employ to target homeless households for assistance;
--highlight innovative ways in which PHAs may be engaging with homeless households;highlight the broader set of community partners providing services to homeless people.

Through this study PHAs will learn from each other about different approaches to assisting homeless families. Responses to this survey will be used for research purposes only and will NOT be used for compliance monitoring. If you have questions about the survey please call 1‐866‐626‐9805 or email us at PHASURVEY@srbi.com. If you have questions about the study itself, please contact Ms. Anne Fletcher, Social Science Analyst, Office of Policy Development and Research, HUD at (202) 402‐4347 or Ms. Eliza Kean, the Abt Associates Project Director at (301) 634‐1743.

This covers all downloadable and backing information available at the NCHE data page. This includes PDF forms (profiles) breaking out statistics by state and year up to SY 16- 17, and summaries by state combining SY 19- 20 through 21- 22 (the latter are web page snapshots). The archive also includes a national fiscal summary, and a PDF snapshot of the web page summarizing national statistics. Finally, the archive bundles the HTML of each state s web page (redundant with PDF snapshots), and the script used for downloading the pages and original PDF files in bulk. As data published directly by a US Government department, this is in the public domain. NCHE Website:

What is the Point-In-Time Count?

The U.S. Department of Housing and Urban Development (HUD) and Washington State Department of Commerce require communities to conduct a one-day Point-In-Time (PIT) Count to survey individuals experiencing homelessness. PIT Counts are one source of data among many that help us understand the magnitude and characteristics of people who are homeless in our community.

The Point-In-Time (PIT) Count is a one-day snapshot that captures the characteristics and situations of people living here without a home. The PIT Count includes both sheltered individuals (temporarily living in emergency shelters or transitional housing) and unsheltered individuals (those sleeping outside or living in places that are not meant for human habitation).

The annual PIT Count happens the last Friday in January, and is carried out by volunteers who interview people and asks where they slept the night before, where their last residence was located, what may have contributed to their loss of housing, and disabilities the individual may have. It also asks how long the individual has been homeless, age and demographics, and whether the person is a veteran and/or a survivor of domestic violence.

Like all surveys, the PIT Count has limitations. Results from the Count are influenced by the weather, by availability of overflow shelter beds, by the number of volunteers, and by the level of engagement of the people we are interviewing. Comparisons from year to year should be done with those limitations in mind.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

A novel and comprehensive cross-sectional dataset (2017) was developed to document and measure municipal supportive housing policy choices and key political factors associated with these choices. The dataset is comprised of 232 municipalities of 354 municipal continuums of care (CoCs) from the HUD 2016 CoC database in order to control for cities directly receiving federal homeless funding. The final sample accounts for 66 percent of all CoCs in the U.S. Municipalities were chosen based on their inclusion in the HUD 2016 Point in Time (PIT) count survey, therefore selecting municipalities with a CoC that are receiving federal funding for homelessness solutions. This is a comprehensive, cross-sectional dataset of municipalities across the United States that includes measures of local homeless policies; measures of local political indicators including local policy conservatism, fragmentation, municipal governmental structure; other relevant social policies (Sanctuary City status, Medicaid expansion, state level supportive housing policy); local demographic characteristics; local economic factors.