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.

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.

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.

INTRODUCTION: As California’s homeless population continues to grow at an alarming rate, large metropolitan regions like the San Francisco Bay Area face unique challenges in coordinating efforts to track and improve homelessness. As an interconnected region of nine counties with diverse community needs, identifying homeless population trends across San Francisco Bay Area counties can help direct efforts more effectively throughout the region, and inform initiatives to improve homelessness at the city, county, and metropolitan level. OBJECTIVES: The primary objective of this research is to compare the annual Point-in-Time (PIT) counts of homelessness across San Francisco Bay Area counties between the years 2018-2022. The secondary objective of this research is to compare the annual Point-in-Time (PIT) counts of homelessness among different age groups in each of the nine San Francisco Bay Area counties between the years 2018-2022. METHODS: Two datasets were used to conduct research. The first dataset (Dataset 1) contains Point-in-Time (PIT) homeless counts published by the U.S. Department of Housing and Urban Development. Dataset 1 was cleaned using Microsoft Excel and uploaded to Tableau Desktop Public Edition 2022.4.1 as a CSV file. The second dataset (Dataset 2) was published by Data SF and contains shapefiles of geographic boundaries of San Francisco Bay Area counties. Both datasets were joined in Tableau Desktop Public Edition 2022.4 and all data analysis was conducted using Tableau visualizations in the form of bar charts, highlight tables, and maps. RESULTS: Alameda, San Francisco, and Santa Clara counties consistently reported the highest annual count of people experiencing homelessness across all 5 years between 2018-2022. Alameda, Napa, and San Mateo counties showed the largest increase in homelessness between 2018 and 2022. Alameda County showed a significant increase in homeless individuals under the age of 18. CONCLUSIONS: Results from this research reveal both stark and fluctuating differences in homeless counts among San Francisco Bay Area Counties over time, suggesting that a regional approach that focuses on collaboration across counties and coordination of services could prove beneficial for improving homelessness throughout the region. Results suggest that more immediate efforts to improve homelessness should focus on the counties of Alameda, San Francisco, Santa Clara, and San Mateo. Changes in homelessness during the COVID-19 pandemic years of 2020-2022 point to an urgent need to support Contra Costa County.

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.

Community housing and homeless shelters, mostly small nonprofits, heavily depend on government and charitable funding. According to the Annual Homelessness Assessment Report (AHAR 2023), out % of 653,100 individuals experiencing homelessness, 60.7% were sheltered, while 39.3% remained unsheltered, highlighting a significant underserved market. The pandemic increased unemployment, housing costs and poverty levels, raising demand for shelter services, with government support aiding many establishments. As a result, industry revenue grew at a compound annual growth rate (CAGR) of 5.0%, reaching $21.9 billion by 2024, with a 2.0% climb in 2024 alone. Notably, industry profit rose to 7.0%, with most profit reinvested into operations, as 96.0% of shelters are nonprofits and 98.0% of community housing providers are federally tax-exempt. Individual service needs vary widely. About one-third of shelter services cater to emergency housing. Six out of ten people experiencing homelessness are in urban areas, explaining the concentration of shelters in cities. Also, three out of ten people experiencing homelessness come from a family with children. Catering to a diverse demographic (families, youths, adults, veterans) can restrict economies of scale, but specialized services can attract targeted charitable contributions. Urban shelters face higher rents and costs because of competitive pressures. However, they can gain from group purchasing, network development for better rates and spreading positive information to boost donations. Service provision is expected to remain fragmented, with shelters competing intensely for grants. Donations will fluctuate depending on the economy, increasing during booms and decreasing in downturns. Shelters integrating telehealth, training and security measures may attract a broader group, reducing unsheltered homelessness and increasing revenue for service and infrastructure improvements. Despite favorable economic trends, such as decreasing poverty and unemployment rates and slower housing price growth, revenue will strengthen at a CAGR of only 0.2%, reaching $22.0 billion by 2029.

In 2023/24 approximately 64,960 households in England were accepted for main homeless duties, whereby the relevant local authority deemed the applicant to be unintentionally homeless and eligible for assistance. Before 2018/19 the figures are noticeably higher than this, with over 56,000 main duty acceptances in 2017/18, although this is due to the introduction of other statutory homeless duties in 2018/19.

People experiencing homelessness have historically had high mortality rates compared to housed individuals in Canada, a trend believed to have become exacerbated during the COVID-19 pandemic. In this matched cohort study conducted in Toronto, Canada, we investigated all-cause mortality over a one-year period by following a random sample of people experiencing homelessness (n = 640) alongside matched housed (n = 6,400) and low-income housed (n = 6,400) individuals. Matching criteria included age, sex-assigned-at-birth, and Charlson comorbidity index. Data were sourced from the Ku-gaa-gii pimitizi-win cohort study and administrative databases from ICES. People experiencing homelessness had 2.7 deaths/100 person-years, compared to 0.7/100 person-years in both matched unexposed groups, representing an all-cause mortality unadjusted hazard ratio (uHR) of 3.7 (95% CI, 2.1–6.5). Younger homeless individuals had much higher uHRs than older groups (ages 25–44 years uHR 16.8 [95% CI 4.0–70.2]; ages 45–64 uHR 6.8 [95% CI 3.0–15.1]; ages 65+ uHR 0.35 [95% CI 0.1–2.6]). Homeless participants who died were, on average, 17 years younger than unexposed individuals. After adjusting for number of comorbidities and presence of mental health or substance use disorder, people experiencing homelessness still had more than twice the hazard of death (aHR 2.2 [95% CI 1.2–4.0]). Homelessness is an important risk factor for mortality; interventions to address this health disparity, such as increased focus on homelessness prevention, are urgently needed.

The transitional housing services market is experiencing robust growth, driven by a confluence of factors including rising homelessness rates, increasing societal awareness of vulnerable populations, and supportive government initiatives. While precise market sizing for this specific segment within the broader shelter services market isn't directly provided, a logical estimation can be made. Considering the overall market size and the significant role transitional housing plays in addressing homelessness and related issues, we can project a substantial market value. For example, if the overall shelter services market is valued at $10 billion (a reasonable estimate given the scale of the problem), and transitional housing represents, say, 30% of this market due to its importance in providing a bridge to permanent housing, the transitional housing market size would be approximately $3 billion in 2025. This is a conservative estimate and could be higher depending on the precise breakdown of services. Key drivers include increasing government funding for social programs, a growing demand for effective rehousing strategies, and the growing recognition of the long-term societal and economic benefits of providing supportive transitional housing. The market's growth is further fueled by evolving service models that incorporate supportive services like job training, mental health care, and substance abuse treatment. These integrated approaches are proving more effective in helping individuals achieve long-term stability and reduce reliance on ongoing shelter services. Major challenges include securing consistent funding, the ongoing shortage of affordable housing in many regions, and addressing the complex needs of diverse vulnerable populations requiring individualized support. The market is segmented by service type (e.g., residential programs, case management, job training) and client demographic (homeless adults, families with children, victims of domestic violence etc.). Competition is multifaceted, involving both large non-profit organizations and smaller, specialized providers. Future market growth will depend heavily on continued funding, innovation in service delivery, and the broader success of initiatives aimed at reducing homelessness and improving access to affordable housing.

Transitional Housing Services Market size was valued at USD 100 Billion in 2023 and is projected to reach USD 342.6 Billion by 2031, growing at a CAGR of 15.2% during the forecast period 2024-2031.

Global Transitional Housing Services Market Drivers

The market drivers for the Transitional Housing Services Market can be influenced by various factors. These may include:

Increasing Homelessness Rates: The rising rates of homelessness globally are a significant market driver for transitional housing services. Factors such as economic instability, lack of affordable housing, and social issues contribute to this increasing trend. Many cities report surges in homelessness, prompting governments and NGOs to seek robust solutions. Transitional housing serves as an intermediary step, offering individuals and families temporary support while they work towards permanent housing solutions.

The dashboard app shows homeless service requests in the city of Dallas with closed and open/in progress status in 30 days roll back.Click here to view the dashboard:

https://arcg.is/XSmLS

This application is fed by this map: https://dallasgis.maps.arcgis.com/home/item.html?id=8e18143be28a43959d34f8037afffeb9The dashboard application provides a comprehensive overview of homeless service requests within the city of Dallas. It visualizes key data, such as the type and volume of requests, their geographic distribution across the city, and timelines for when they were submitted. This tool enables city officials, organizations, and stakeholders to track trends, identify hotspots or underserved areas, and allocate resources efficiently to address homelessness. Additionally, the dashboard may include filters and interactive features, allowing users to analyze specific timeframes, neighborhoods, or request types for a deeper understanding of the challenges and needs faced by the community.

Tempe relies on data to inform and support decision making for the city’s Homeless Solutions strategy. This comprehensive effort ensures that the city has the most up-to-date information to meet needs, identify emerging trends and create solutions. In this hub site, you’ll find data related to:Outreach and engagementReporting homeless encampmentsVerifying and resolving encampmentsAnnual Point-in-Time homeless countSite is Google Translate enabled. DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this page, please visit https://tempegov.hub.arcgis.com:/overview/edit.

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.

Statistics about homelessness for every local authority in England.

This includes annual data covering 2009-10 to 2015-16 based on CLG live table 784, known as the P1E returns.

There are also quarterly returns (live table 784a) which cover April to June; July to September, September to December and January to March, since April 2013 available on the CLG webpage (see links)

Both are provided in excel and csv format.

These data help us compare trends across the country for the decisions local authorities make when people apply to them as homeless and each district's use of temporary accommodation.

Evolution, trends - Homeless children-United States-Psychology in the news

The information is collected in order to establish the number and type of households that were accepted as homeless by local authorities during the period and the reasons why these households are homeless. It is also used to establish the number of homeless households in temporary accommodation and the types of accommodation provided. This data is used by the Welsh Government, homelessness agencies and other housing organisations, in order to help monitor trends in the overall level of statutory homelessness across Wales. Extra information is collected about acceptances of these statutory homeless households. This includes information on the different types of homeless households, which are known as priority need groups, and also the reason why households lost their last settled home. The Welsh Government introduced secondary legislation (starting from 1 March 2001) extending the priority need categories. The figures from October to December 2001 onwards cover the new priority need categories. From 2011-12, breakdowns by family type are only available annually. Quality information 1. This data covers numbers of households not persons. 2. Homelessness data may be subject to seasonal variations, however the data shown in this cube has not been seasonally adjusted and care should be taken when making comparisons between successive quarters. 3. All the figures are rounded independently to the nearest 5 to protect the identity of individuals. As a result, there may be a difference between the sum of the constituent items and the total. An asterisk is shown when the data item is disclosive or not sufficiently robust for publication.

The information is collected in order to establish the number and type of households that were accepted as homeless by local authorities during the period and the reasons why these households are homeless. It is also used to establish the number of homeless households in temporary accommodation and the types of accommodation provided. This data is used by the Welsh Government, homelessness agencies and other housing organisations, in order to help monitor trends in the overall level of statutory homelessness across Wales. Extra information is collected about acceptances of these statutory homeless households. This includes information on the different types of homeless households, which are known as priority need groups, and also the reason why households lost their last settled home. The Welsh Government introduced secondary legislation (starting from 1 March 2001) extending the priority need categories. The figures from October to December 2001 onwards cover the new priority need categories. From 2011-12, breakdowns by family type are only available annually. Quality information 1. This data covers numbers of households not persons. 2. Homelessness data may be subject to seasonal variations, however the data shown in this cube has not been seasonally adjusted and care should be taken when making comparisons between successive quarters. 3. All the figures are rounded independently to the nearest 5 to protect the identity of individuals. As a result, there may be a difference between the sum of the constituent items and the total. An asterisk is shown when the data item is disclosive or not sufficiently robust for publication.

The information is based on a quarterly statistical return completed by local authorities in Wales. The information is collected in order to establish the number and type of households that were provided with assistance by local authorities during the period. It is also used to establish the number of homeless households in temporary accommodation and the types of accommodation provided. This data is used by the Welsh Government, homelessness agencies and other housing organisations, in order to help monitor trends in the overall level of statutory homelessness across Wales.

This dataset provides information on 2 in Lopburi, Thailand as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.