This statistic shows the estimated number of homeless veterans in the United States in 2022, by state. In 2022, about 10,395 veterans living in California were homeless.

In 2023, about 87.8 percent of the estimated number of homeless veterans in the United States were male, compared to 11.2 percent who were female.

In 2023, about 3.6 percent of the estimated number of homeless veterans in the United States were Native American. In comparison, 57 percent were white and 31.3 percent were Black or African American.

In 2023, about 15,507 homeless veterans in the United States were estimated to be living outside a homeless shelter. In comparison, 20,067 homeless veterans were estimated to be living inside a homeless shelter in that year.

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/

The Veterans' Employment and Training Service (VETS) tracks HVRP participant outcomes using data collected from grant recipients. VETS shares HVRP outcomes with the public. These data show the national level targets and outcomes for eleven (11) measures by Program Year (PY), including breakouts by sex, ethnicity, race, age, and grant population. The 11 measures are: Number of Participants Served Percentage of Total Participants Served Number of Exiters Percentage of Total Number of Exiters Number of Participants Co-Enrolled at American Job Centers (AJCs) Average Hourly Wage at Placement Placement Rate (exit-based) Placement Rate – Episodically Homeless (exit-based) Employment Rate 2nd Quarter After Exit Employment Rate 4th Quarter After Exit Median Earnings 2nd Quarter After Exit"

This layer contains detailed Point in Time counts of homeless populations from 2019. This layer is modeled after a similar layer that contains data for 2018, 2013, and 2008.Layer is symbolized to show the count of the overall homeless population in 2019, with a pie chart of breakdown of type of shelter. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. The Point-in-Time (PIT) count is a count of sheltered and unsheltered homeless persons on a single night in January. HUD requires that Continuums of Care Areas (CoCs) conduct an annual count of homeless persons who are sheltered in emergency shelter, transitional housing, and Safe Havens on a single night. CoCs also must conduct a count of unsheltered homeless persons every other year (odd numbered years). Each count is planned, coordinated, and carried out locally.The Point-in-Time values were retrieved from HUD's Historical Data site. Original source is the 2019 sheet within the "2007 - 2019 PIT Counts by CoCs.xlsx" (downloaded on 3/10/2020) file. Key fields were kept and joined to the CoC boundaries available from HUD's Open Data site.Data note: MO-604 covers territory in both Missouri and Kansas. The record described in this file represents the CoC's total territory, the sum of the point-in-time estimates the CoC separately reported for the portions of its territory in MO and in KS.For more information and attributes on the CoC Areas themselves, including contact information, see this accompanying layer.Suggested Citation: U.S. Department of Housing and Urban Development (HUD)'s Point in Time (PIT) 2019 counts for Continuum of Care Grantee Areas, accessed via ArcGIS Living Atlas of the World on (date).

Financial overview and grant giving statistics of El Paso County Homeless Veterans Coalition

This link provides access to Department of Veterans Affairs, Veterans Benefits Administration Media and Publications Fact Sheets, electronic brochures, videos and other publications.

In 2020, surveys conducted among people experiencing homelessness in King County, Washington found that 55 percent of those who were veterans suffered from post-traumatic stress disorder (PTSD), compared to 39 percent of those who were not veterans. This statistic shows the percentage of veteran and non-veteran homeless persons in King County, Washington who stated they had select health conditions as of 2020.

Aggregated and summarized information collected from the Point in Time count of the number of persons experiencing homelessness in the Phoenix-Mesa metro area as of the survey date. Detailed results for Mesa Only at https://data.mesaaz.gov/Community-Services/Unsheltered-Point-In-Time-PIT-Count-Details-Mesa-O/efjd-c5mi Due to the unprecedented COVID-19 pandemic, the US Department of Housing and Urban Development (HUD) approved the Maricopa Regional Continuum of Care to opt out of the unsheltered Point In Time (PIT) Homeless Count for 2021. Every January, volunteers and outreach teams from local communities collaborate to survey and count the number of homeless. persons in their respective locations. With the information provided by the PIT Count, the Maricopa Regional Continuum of Care and local communities can determine how best to address homelessness. For more information see https://www.azmag.gov/Programs/Homelessness/Point-In-Time-Homeless-Count. NOTE: The HUD definition of chronic homelessness is: (1) a person who lives in a place not meant for human habitation, Safe Haven, or Emergency Shelter, (2) has a disability, and (3) has been homeless continuously for one year OR four or more times homeless in the last three years, where the combined length of time homeless is at least 12 months.

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 map shows the percent of population who are veterans. This pattern is shown by states, counties, and tracts. The data is from the most current American Community Survey (ACS) data from the U.S. Census Bureau. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty.The pop-up highlights the breakdown of veterans by gender.Zoom to any area in the country to see a local or regional pattern, or use one of the bookmarks to see distinct patterns of poverty through the US. Data is available for the 50 states plus Washington D.C. and Puerto Rico.The data comes from this ArcGIS Living Atlas of the World layer, which is part of a wider collection of layers that contain the most up-to-date ACS data from the Census. The layers are updated annually when the ACS releases their most current 5-year estimates. Visit the layer for more information about the data source, vintage, and download date for the data.

description:

These raw data sets contain Point-in-Time (PIT) estimates and national PIT estimates of homelessness as well as national estimates of homelessness by state and estimates of chronic homelessness from 2007 - 2016. Estimates of homeless veterans are also included beginning in 2011.

Updated yearly.

These raw data sets contain Point-in-Time (PIT) estimates and national PIT estimates of homelessness as well as national estimates of homelessness by state and estimates of chronic homelessness from 2007 - 2016. Estimates of homeless veterans are also included beginning in 2011.

Updated yearly.

description: This data represents all emergency medical services calls related to possible opioid abuse. Opioid Abuse Probable A call may be coded as opioid abuse probable for many reasons, such as * Are there are any medical symptoms indicative of opioid abuse? * Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)? * Are there witnesses or patient statements made that point to opioid abuse? * Is there any other evidence that opioid abuse is probable with the patient? Opioid abuse probable is determined by Tempe Fire Medical Rescue Departments Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given Narcan/Naloxone Given refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses. Groups Groups are used to determine if there are specific populations that have an increase in opioid abuse. * The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well. * The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempes Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well. * The unknown group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. Gender Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine. Data Set History Data sets were evolving in 2017 due to software upgrades and identifying new parameters to focus data collection on. The 2018 data will be a more comprehensive set of data that includes all the fields identified throughout 2017. Data sets may continue to evolve based on the needs of the community and healthcare trends. Information about the data can be found at Data Documentation; abstract: This data represents all emergency medical services calls related to possible opioid abuse. Opioid Abuse Probable A call may be coded as opioid abuse probable for many reasons, such as * Are there are any medical symptoms indicative of opioid abuse? * Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)? * Are there witnesses or patient statements made that point to opioid abuse? * Is there any other evidence that opioid abuse is probable with the patient? Opioid abuse probable is determined by Tempe Fire Medical Rescue Departments Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given Narcan/Naloxone Given refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses. Groups Groups are used to determine if there are specific populations that have an increase in opioid abuse. * The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well. * The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempes Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well. * The unknown group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. Gender Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine. Data Set History Data sets were evolving in 2017 due to software upgrades and identifying new parameters to focus data collection on. The 2018 data will be a more comprehensive set of data that includes all the fields identified throughout 2017. Data sets may continue to evolve based on the needs of the community and healthcare trends. Information about the data can be found at Data Documentation

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.

This statistic depicts the percentage of U.S. suicides with known or unknown mental health conditions as of 2015, by homeless and military status. According to the data, around 17.8 percent of all suicides that year were among adults who had served in the military. Furthermore, adults who had served in the military accounted for 20.1 percent of suicides among those with no known mental health condition.

According to a survey conducted in 2023, 59 percent of Americans strongly supported their local government establishing or expanding programs that support veterans experiencing homelessness or at risk of experiencing homelessness in the United States. In comparison, 20 percent of Americans strongly opposed their local government increasing penalties for loitering, panhandling, or sleeping/camping on public property as a way to combat homelessness.

According to a survey conducted in 2022, 42 percent of Americans blamed the mental health system a lot for homelessness in the United States while 39 percent blamed the federal government a lot. In comparison, only 12 percent of Americans blamed the military or non-profit organizations a lot for homelessness in the United States.