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.

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.

The number of people left homeless due to wildfires in 2023 amounted to **, a considerable decrease when compared to the figures of 2022 and 2021, when ***** and ***** people lost their homes due to such disasters.

Homeless International Activity File-LK

Homeless International Activity File-998

Homeless International Activity File-KE

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.

Homeless International Activity File-TZ

Seroprevalence of Toxoplasma gondii has been extensively studied in a variety of different human populations. However, no study has focused on homeless populations. Accordingly, the present study aimed to assess the seroprevalence of anti-T. gondii antibodies and the risk factors associated in homeless persons from homeless shelter of São Paulo city, southeastern Brazil. In addition, anti-HIV antibodies and associated risk of T. gondii and HIV coinfection have been evaluated. Anti-T. gondii antibodies were detected by indirect fluorescent antibody test. In addition, anti-HIV levels were tested by chemiluminescence enzyme immunoassay, with positive samples confirmed by rapid immunoblot assay. Overall, IgG anti-T. gondii seropositivity was found in 43/120 (35.8%) homeless persons, with endpoint titers varying from 16 to 1,024. The only two pregnant women tested were negative for IgM by chemiluminescence enzyme immunoassay, with normal parturition and clinically healthy newborns in both cases. There were no statistical differences in the risk factors for anti-T. gondii serology (p > 0.05). Anti-HIV seropositivity was found in 2/120 (1.7%) homeless persons, confirmed as HIV-1. One HIV seropositive individual was also sero-reactive to IgG anti-T. gondii, and both were negative to IgM anti-T. gondii. This is the first study that reports the serosurvey of T. gondii in homeless persons worldwide. Despite the limited sample size available in the present study, our findings have shown that the prevalence of anti-T. gondii antibodies in homeless persons herein was lower than the general population, probably due to homeless diet habit of eating mainly processed food intake. No statistical differences were found regarding risk factors for anti-T. gondii exposure in homeless persons. Future studies should be conducted to fully establish risk factors for anti-T. gondii exposure in homeless persons.

Journeys Home: A Longitudinal Study of Factors Affecting Housing Stability was a national survey of Australians who were either homeless or at high risk of becoming homeless. Data collection commenced in September 2011 with a further five waves of data collected approximately six months apart. Journeys Home was funded by the Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA), and run by the Melbourne Institute of Applied Economic and Social Research at The University of Melbourne. Roy Morgan Research (RMR) was sub-contracted to undertake the fieldwork. It was designed as a tool for enabling research that would improve understanding of the pathways into and out of homelessness in Australia and the consequences of homelessness for long-term outcomes. Three different data releases are available, depending on your research requirements and location. These releases are General, Restricted, and International. In the General and International releases some variables (such as location, industry and debt) are confidentialised. The International release also limits some income related variables.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Dwelling is any inhabited physical place, constructed or adapted for housing people. - Households: Household is a group of people, related or otherwise, who occupy the dwelling. - Group quarters: Collective houshold is a group of people who share the dwelling in a non-familial system, for reasons of work, health, discipline, religion, punishment, etc.

Universe

All the population in the national territory at the moment the census is carried out. Homeless, passengers in transit (international flights), personnel on duty in hospitals, factories, institutions, and other places, employees of the National Institute of Statistics, embassies and consulates

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia

SAMPLE SIZE (person records): 642368.

SAMPLE DESIGN: Systematic sample of every tenth dwelling with a random start; drawn by IPUMS Homeless, passengers in transit (international flights), personnel on duty in hospitals, factories, institutions, and other places, employees of the National Institute of Statistics, embassies and consulates

Mode of data collection

Face-to-face [f2f]

Research instrument

A single booklet that consists of sections on geographic location, dwelling, and population (individual)

This round of Eurobarometer surveys diverged from the Standard Eurobarometer measures and queried respondents on the following major areas of focus: (1) poverty and social exclusion, (2) mobile phone use, (3) economic crisis, and (4) international trade. For the first major area of focus, poverty and social exclusion, the survey queried respondents about their own definition of poverty, the extent of poverty and homelessness in their area, and whether or not respondents believed poverty had increased in their area and elsewhere. Respondents were queried about what necessities people must be able to afford to meet a minimal acceptable living standard, who is most at risk for poverty, as well as the social, political, and personal causes of poverty and homelessness. Respondents were also asked about how poverty impacts peoples' chances of completing certain activities, such as getting a good education or finding a job. Respondents were then asked whether or not they trust the European Union (EU), their governments, charities, other citizens, and miscellaneous institutions to effectively respond to poverty. Respondents were also asked to whom they assign primary responsibility for reducing or preventing poverty, what policies their governments should focus on in the future in the effort to help people out of poverty, and whether or not respondents approved of their government's existing anti-poverty measures. Respondents were also queried about their perception of social tensions between groups, and about what they have done personally to help poor people. Additionally, respondents were queried about their own living conditions, satisfaction with life, ability to keep a job, efforts to fight poverty, finances, and their own risk of falling into poverty. For the second major area of focus, mobile phone use, the survey asked respondents about whether or not they owned a mobile phone, their mobile phone use in other EU countries, and the cost of cellular phone service in those countries. For the third major area of focus, economic crisis, the survey questioned respondents about the degree to which the crisis personally affected them, how the crisis affected the EU and its policy efforts, who should bear responsibility for the crisis, who should bear the burden of response to the crisis, and how the European Parliament and other bodies should respond to the crisis. For the fourth major area of focus, international trade, the survey queried respondents on whether they pay attention to the country of origin for products they purchase, how trade impacts respondents and their countries, what European Union trade policy should be going into the future, and the European Union's international economic standing. Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, left-right political self-placement, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other durable goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

Global Temporary Shelters market size is expected to reach $52.74 billion by 2029 at 5.3%, government funds drive growth in temporary housing market

In recent years, demand for temporary housing has been one of the most significant issues for the industry. Because of rising rental costs, many have faced the risk of homelessness, with many experiencing financial hardship and persistent economic disadvantage. This has been exacerbated by the economic impacts of recent global events, including the COVID-19 pandemic, with the economic consequences resulting in more individuals and families under financial stress. The shortage of affordable housing and rising rent costs have placed significant pressure on homelessness, which has ramped up demand for crisis accommodation service providers. Industry revenue is expected to increase at an annualised 1.6% over the five years through 2025-26 to $1.8 billion. Greater housing stress has boosted demand for crisis housing in recent years. Family breakdowns are one of the main reasons for housing transiency and are a crucial driver of demand for crisis and refuge accommodation. Inflationary and cost-of-living pressures will sustain industry demand, limiting declines in revenue, which is expected to inch down 0.8% in 2025-26, mainly because of stabilisation in the housing market and gradual economic recovery, easing the need for immediate crisis intervention. The Budget 2025 includes considerable additional money for disability assistance and social housing, including $60 million per year for disability residential care and $128 million over four years for new social housing in Auckland, supporting industry profitability. Several factors, including a shortage of affordable housing, economic hardship, disabilities, mental health conditions and addictions to alcohol, drugs and gambling, influence homelessness. Though these issues suggest a continued demand for crisis and care accommodation services, industry growth is projected to be tempered by cost pressures in 2028-29. Also, while ongoing housing affordability issues and an aging population are anticipated to drive industry growth, funding constraints will limit the expansion rate. Overall, industry revenue is forecast to slightly plunge at an annualised 1.9% over the five years through 2030-31 to $1.6 billion.

In 2020, the number of people affected, injured, or left homeless due to storms across the globe amounted to roughly **** million. In the past three decades, the impact of storms were highest in 2002, with over *** million people affected. Overall, between 1990 and 2020, more than *** thousand deaths were caused by storms worldwide.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Homeless; nomads

UNIT DESCRIPTIONS: - Households: A standard household is a person or a group of people related or not, living in the same housing unit, often taking their meals together and working together on the other essential needs. This group generally recognizes the authority of one person who is called the Head of Household. - Group quarters: This is a group of people, who for non-family reasons which are mainly related to profession, health, school, denomination, or detention, live together in a specialized establishment or institution like a workers camp, military barracks, dormitories, a hospital with rooms, a convent, an orphanage, a prison.

Universe

All persons present in Cameroon at the time of the census, including visitors from other countries.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Central Bureau of Census and Population Studies

SAMPLE DESIGN: Systematic sample of every 10th dwelling with a random start, drawn by MPC

SAMPLE FRACTION: 10%

SAMPLE UNIVERSE: Systematic sample of every 10th dwelling with a random start, drawn by MPC

SAMPLE SIZE (person records): 1,772,359

Mode of data collection

Face-to-face [f2f]

Research instrument

Four forms: Standard household questionnaire, communal household questionnaire, nomad questionnaire, and homeless questionnaire

Response rate

UNDERCOUNT: No available estimate