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.

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 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.

Financial overview and grant giving statistics of Shelter the Homeless International Projects

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).

This map shows Point in Time counts of the overall homeless populations from 2019. 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).

Male population of Nayarit went up by 1.24% from 670,160 persons in 2023 to 678,471 persons in 2024. Since the 1.74% improve in 2014, male population rocketed by 15.47% in 2024. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

Population of Mexico State increased by 1.16% from 16,861,082 persons in 2017 to 17,056,666 persons in 2018. Since the 1.55% rise in 2008, population surged by 14.33% in 2018. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

Population of Distrito Federal decreased by 0.24% from 8,967,558 persons in 2023 to 8,946,184 persons in 2024. Since the 0.05% rise in 2014, population fell by 1.28% in 2024. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

Population of Coahuila increased by 1.43% from 3,087,852 persons in 2017 to 3,132,017 persons in 2018. Since the 1.76% rise in 2008, population shot up by 16.27% in 2018. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

This article analyzes the evictions faced by the homeless during the preparations of Rio de Janeiro for the 2014 World Cup and the 2016 Olympic Games, framed by social conflicts in favor of the right to the city, by juxtaposing urban security for the elites and disrespect for the rights of subaltern classes. The media’s and the official discourses classify the homeless as those who “live on the streets”, naturalizing their “home-less” condition and establishing the myth that, despite not having a home, that population inhabit somewhere. This process tends to empty the conflicting nature of the social relations that operate within the cities, such as the real reasons for the economic and social exclusion, thus accentuating opportunities for huge real estate investments in accelerated gentrification processes.

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

Dwelling, census household, and population

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Homeless, persons located in truck stops and in markets, passengers in transit (international flights), personnel in hospitals, factories, institutions, or other, enumerators and area supervisors, and embassies and consulates

UNIT DESCRIPTIONS: - Dwellings: A dwelling is a construction that has one or more floors covered by a roof and is constructed or adapted for the habitation of one or more persons, either permanently or temporarily. - Households: A household is made up of one or more persons, related or unrelated, who live in the same dwelling and who at least share a common budget for meals to which each person contributes in money or in kind. One person can also constitute a household. - Group quarters: A collective dwelling is inhabited by a group of persons, usually unrelated, who lie together but not as a family.

Universe

All the population in the national territory at the moment the census is carried out.

Kind of data

Census/enumeration data [cen]

Sampling procedure

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

SAMPLE DESIGN: Systematic sample of every tenth dwelling with a random start; drawn by MPC

SAMPLE UNIT: Dwelling

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 827,692

Mode of data collection

Face-to-face [f2f]

Research instrument

(1) Identification of the census form, (2) Dwelling type and occupancy, (3) Characteristics of dwellings with inhabitants who are present, (4) Individual form (all in a single booklet)

The number of people left homeless due to wildfires in 2023 amounted to 81, a considerable decrease when compared to the figures of 2022 and 2021, when 3,933 and 4,893 people lost their homes due to such disasters.

Women - girls of Quintana Roo fell by 1.30% from 30.8 percent in 2000 to 30.4 percent in 2010. Since the 1.30% decline in 2010, women - girls remained stable by 0.00% in 2010. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

Project Overview This study used a community-based participatory approach to identify and investigate the needs of people experiencing homelessness in Dublin, Ireland. The project had several stages: A systematic review on health disparities amongst people experiencing homelessness in the Republic of Ireland; Observation and interviews with homeless attendees of a community health clinic; and Interviews with community experts (CEs) conducted from September 2022 to March 2023 on ongoing work and gaps in the research/health service response. This data deposit stems from stage 3, the community expert interview aspect of this project. Stage 1 of the project has been published (Ingram et al., 2023.) and associated data are available here. De-identified field note data from stage 2 of the project are planned for sharing upon completion of analysis, in January 2024. Data and Data Collection Overview A purposive, criterion-i sampling strategy (Palinkas et al., 2015) – where selected interviewees meet a predetermined criterion of importance – was used to identify professionals working in homeless health and/or addiction services in Dublin, stratified by occupation type. Potential CEs were identified through an internet search of homeless health and addiction services in Dublin. Interviewed CEs were invited to recommend colleagues they felt would have relevant perspectives on community health needs, expanding the sample via snowball strategy. Interview questions were based on World Health Organization Community Health Needs Assessment guidelines (Rowe at al., 2001). Semi-structured interviews were conducted between September 2022 and March 2023 utilising ZOOM™, the phone, or in person according to participant preference. Carolyn Ingram, who has formal qualitative research training, served as the interviewer. CEs were presented with an information sheet and gave audio recorded, informed oral consent – considered appropriate for remote research conducted with non-vulnerable adult participants – in the full knowledge that interviews would be audio recorded, transcribed, and de-identified, as approved by the researchers’ institutional Human Research Ethics Committee (LS-E-125-Ingram-Perrotta-Exemption). Interviewees also gave permission for de-identified transcripts to be shared in a qualitative data archive. Shared Data Organization 16 de-identified transcripts from the CE interviews are being published. Three participants from the total sample (N=19) did not consent to data archival. The transcript from each interviewee is named based on the type of work the interviewee performs, with individuals in the same type of work being differentiated by numbers. The full set of professional categories is as follows: Addiction Services Government Homeless Health Services Hospital Psychotherapist Researcher Social Care Any changes or removal of words or phrases for de-identification purposes are flagged by including [brackets] and italics. The documentation files included in this data project are the consent form and the interview guide used for the study, this data narrative and an administrative README file. References Ingram C, Buggy C, Elabbasy D, Perrotta C. (2023) “Homelessness and health-related outcomes in the Republic of Ireland: a systematic review, meta-analysis and evidence map.” Journal of Public Health (Berl). https://doi.org/10.1007/s10389-023-01934-0 Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. (2015) “Purposeful sampling for qualitative data collection and analysis in mixed method implementation research.” Administration and Policy in Mental Health. Sep;42(5):533–44. https://doi.org/10.1007/s10488-013-0528-y Rowe A, McClelland A, Billingham K, Carey L. (2001) “Community health needs assessment: an introductory guide for the family health nurse in Europe” [Internet]. World Health Organization. Regional Office for Europe. Available at: https://apps.who.int/iris/handle/10665/108440

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: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No - Special populations: Persons without any normal residence, foreign nationals, and people in orphanages, rescue homes, ashram and vagrant houses are not covered by survey.

UNIT DESCRIPTIONS: - Households: A group of persons normally living together and taking food from a common kitchen will constitute a household. The members of a household may or may not be related by blood to one another.

Universe

All population in India, except for foreigners, the homeless, or people in orphanages, rescue homes, ashram, and vagrant houses.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Sample Survey Organization, Government of India

SAMPLE DESIGN: Two-staged, stratified systematic samples drawn by the country. Stage 1: In rural sector, regions are stratified based on population and crop pattern. Census villages (primary sampling units) are selected from region strata circular systematically with probability proportional to population. In urban sector, districts are stratified by population. Urban frame survey (UFS) blocks are the primary sampling units and selected from district strata circular systematically with equal probability. Stage 2: Selected large villages/blocks are split into hamlet-groups (rural) or sub-blocks (urban), some of which are randomly selected and they form the strata for Stage II, together with small villages/blocks selected in Stage I. Households are selected from those Stage II strata by circular systematically with a random start. Affluent households are over-sampled. The ratio of affluent to other households is 2:8 in rural sector and 4:6 in urban sector. In total, the central sample includes 7,284 villages and 4,792 urban blocks; the state sample includes 7,964 villages and 5,880 urban blocks.

SAMPLE UNIT: Household

SAMPLE FRACTION: .07%

SAMPLE SIZE (person records): 564,740

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form that consists of 8 sections: 1) identification of sample household, 2) household characteristics, 3) demographic particulars and principal usual activity, 4) current work activity during the preceding week, 5) follow-up questions for the unemployed, 6) questions for working persons, 7) questions for children 5-14 years, and 8) questions for persons who attended domestic duties.

Response rate

COVERAGE: Entire country, in both rural and urban sectors

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Population of Aguascalientes increased by 1.18% from 1,489,875 persons in 2023 to 1,507,474 persons in 2024. Since the 2.12% rise in 2014, population shot up by 15.49% in 2024. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

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: No - Special populations: Floating population [Population flottante]: these are the homeless people, who live anywhere, near the market places, in the factories, in shacks or even on the pavement, etc.

UNIT DESCRIPTIONS: - Dwellings: A compound is a set of buildings, enclosed or not by a wall or any other type of fence (or paling). In some case it could be reduced to a single building (single hut, house with apartments), or include a series of distinct dwelling units. It is often placed under the authority of a compound head [Chef de Concession: C.C.], especially in rural areas. - Households: A set of persons, related by blood or not, living in the same compound, who share their meals daily, and who are under the authority of a sole and same person, called the Household Head [Chef de ménage: C.M.]. This concept corresponds to the words ?ndieul? in Wolof ?ngak? in Sereer, or ?hirande? in Tukuler.

Universe

All persons living in the national territory

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistical Office

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 700,199

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire is divided into three parts. Part I is the geographical identification of the household. Part II contains questions on the demographic, economic and social characteristics of individuals in the chousehold. Part III includes two questions for individuals (economic activity and births), deaths in the household, and all questions on housing.

Women - separated and divorced of Tamaulipas shot up by 33.33% from 5.4 percent in 2000 to 7.2 percent in 2010. Since the 33.33% jump in 2010, women - separated and divorced remained stable by 0.00% in 2010. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).