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.

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.

Yearly statewide and by-Continuum of Care total counts of individuals receiving homeless response services by age group, race, and gender.

This data comes from the Homelessness Data Integration System (HDIS), a statewide data warehouse which compiles and processes data from all 44 California Continuums of Care (CoC)—regional homelessness service coordination and planning bodies. Each CoC collects data about the people it serves through its programs, such as homelessness prevention services, street outreach services, permanent housing interventions and a range of other strategies aligned with California’s Housing First objectives.

The dataset uploaded reflects the 2024 HUD Data Standard Changes. Previously, Race and Ethnicity are separate files but are now combined.

Information updated as of 2/06/2025.

As of 31 January 2024, 55 percent of homeless people in Germany were men. 43 percent were women and of around two percent, the gender was unknown. Therefore, more than half of the homeless people in homeless accommodation* were men.

A survey of homeless adults in California found that around 31 percent reported they currently use amphetamines three or more times a week. This statistic shows the percentage of homeless adults in California with regular current substance use as of 2022.

This statistic displays the changes occurred in the total number of homeless people in France from 2017 to 2023. We can observe that the number of homeless people stagnated at 143,000 until 2020, but reached 330,000 in 2023.

This trial outlines a unique time limited opportunity to conduct the first ever randomised controlled trial in the UK, to evaluate the feasibility and acceptability of randomising participants to Settled Accommodation (SA) or Temporary Accommodation (TA) with the aim of preventing COVID-19 infection and reducing housing instability.

The study’s primary objectives were to assess the following: 1. The feasibility of recruiting local authorities and eligible participants to the study. 2. Recruitment rates of participants and retention through 3 months and 6 months post randomisation follow-up data collection. 3. The acceptability of the study and its processes, including randomisation, to single homeless households and local authorities and their willingness to participate in a definitive trial.

In addition, the study also aims to assess the following Secondary objectives: 1. Adherence to the study allocation, reach and fidelity (i.e. whether SA is delivered as intended, works as hypothesized, is scalable and sustainable). 2. The feasibility and acceptability of proposed outcome measures for a definitive trial, including resource use and health-related quality of life data, as methods to measure effectiveness of the intervention and to conduct an embedded health economic evaluation within a definitive RCT. 3. The feasibility and acceptability of linkage to routinely collected data within a definitive RCT by assessing whether (a) participants are willing to consent for their data to be linked and (b) personal identifiers can be linked to NHS Digital routine datasets.

Quantitative data was collected at baseline and follow-up at 3 and 6 months. 50 participants were invited to complete outcome measures. These participants completed the questionnaire over the telephone with trained members of staff based at the University. Data was entered into Qualtrics application system and used to collect consent and questionnaire response data. The trial explored past and current experiences of homeless individuals in relation to a range of life domains, including; housing, health, adverse life experiences such as imprisonment, and substance misuse. Participants were also invited to take part in qualitative interviews to discuss the acceptability of the study and its processes, including randomisation, and their willingness to participate in a definitive trial. They were also asked about their experience of services and provision. Data from 14 participants and 1 researcher in the Moving On Study was gathered.

As part of the government's response to COVID-19, 15,000 rough sleepers have now been offered self-contained temporary accommodation in England, mainly in hotels. This approach, which has involved the decanting of hostels, shelters and similar shared provision for rough sleepers, is a short-term response.

When the lockdown ends, decisions will need to be taken about how to house former rough sleepers in line with the UK government's commitment to prevent people from going back to the streets - including, potentially, through the re-opening of shelter-type accommodation. Existing temporary accommodation with shared facilities might make it impossible for people to comply with government social distancing advice. So these decisions will impact on the risk of a second wave of infection from COVID-19 and possibly any mutations.

This proposal outlines a unique time limited opportunity to conduct the first ever randomised controlled trial in the UK, to evaluate the effectiveness and cost-effectiveness of permanent housing on the risk of COVID-19 infection and housing stability for people experiencing homelessness.

That many homeless people are currently waiting to be housed means they can be randomly allocated to different housing solutions at scale quickly. The insights drawn from the short-term impacts of permanent housing can be used to inform other local authorities' responses to the challenges of COVID-19 and the cost-effectiveness of accommodation alternatives more broadly.

Analysis of ‘COVID-19 Cases by Population Characteristics Over Time’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a3291d85-0076-43c5-a59c-df49480cdc6d on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Note: On January 22, 2022, system updates to improve the timeliness and accuracy of San Francisco COVID-19 cases and deaths data were implemented. You might see some fluctuations in historic data as a result of this change. Due to the changes, starting on January 22, 2022, the number of new cases reported daily will be higher than under the old system as cases that would have taken longer to process will be reported earlier.

A. SUMMARY This dataset shows San Francisco COVID-19 cases by population characteristics and by specimen collection date. Cases are included on the date the positive test was collected.

Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how cases have been distributed among different subgroups. This information can reveal trends and disparities among groups.

Data is lagged by five days, meaning the most recent specimen collection date included is 5 days prior to today. Tests take time to process and report, so more recent data is less reliable.

B. HOW THE DATASET IS CREATED Data on the population characteristics of COVID-19 cases and deaths are from: * Case interviews * Laboratories * Medical providers

These multiple streams of data are merged, deduplicated, and undergo data verification processes. This data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. Daily case totals on previous days may increase or decrease. Learn more.

Data are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19.

Data notes on each population characteristic type is listed below.

Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups.

Sexual orientation * Sexual orientation data is collected from individuals who are 18 years old or older. These individuals can choose whether to provide this information during case interviews. Learn more about our data collection guidelines. * The City began asking for this information on April 28, 2020.

Gender * The City collects information on gender identity using these guidelines.

Comorbidities * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death.

Transmission type * Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown.

Homelessness Persons are identified as homeless based on several data sources: * self-reported living situation
* the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures.
These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions.

Skilled Nursing Facility (SNF) occupancy * A Skilled Nursing

--- Original source retains full ownership of the source dataset ---

Abstract

The census date was midnight, the 23rd of July 2018.

The Census is the official count of population, household and dwellings in Wallis & Futuna and it gives a general overview of the country at one specific point in time: 23rd of July 2018. Since 1969 until 2003, Census has been taken once in every 7 or 6 years and every 5 years from 2003.

The census can be the source of information for allocation of public funding, more particularly in areas such as health, education and social policy. The main users of the information provided by the Census are the government, education facilities (such as schools and tertiary organizations), local authorities, businesses, community organizations and the public in general.

The objectives of Census changed over time shifting from earlier years where they were essentially household registrations and counts, to now where a national population census stands supreme as the most valuable single source of statistical data for Wallis & Futuna. This Census allowed to determine the legal population of Wallis and Futuna in all geographical aspects: Wallis island, Futuna island, the 3 "circonsriptions" (Alo, Sigave, Uvea) and 5 districts (Alo, Sigave, Hahake, Hihifo, Mua).

Census data is now widely used to evaluate: - The availability of basic household needs in key sectors, to identify disadvantaged areas and help set priorities for action plans; - Benefits of development programmes in particular areas, such as literacy, employment and family planning;

In addition, census data is useful to asses manpower resources, identify areas of social concern and for the improvement in the social and economic status of women by giving more information about this part of the population and formulating housing policies and programmes and investment of development funds.

Geographic coverage

National coverage.

Analysis unit

Households and Individuals.

Universe

The Census is covering all people alive on the reference date (23rd of July 2018), that are usually living in Wallis and Futuna - whichever nationality they are, for at least 12 months. The Census covered all household and communitiy members. Communities are considered to be: boarding schools, gendarmerie, retirement homes, religious communities, but also people living in mobile dwelling (e.g. boats) and homeless people.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not applicable as it is a full coverage.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two types of questionnaire for this Census:

Individual sheet (Feuille de Logement or "FL"): describing the dwelling characteristics and enlisting all the individuals living in it; Individual form (Bulletin Individuel or "BI"): information on each individual that are usually living in the household.

The questionnaires were distributed in French and are available in the "External Resources" section.

Cleaning operations

Data editing was done by SPC in collaboration with Wallis and Futuna NSO.

Sampling error estimates

Not applicable.

In 2011, about 15 percent of the total population in India was homeless. Urban areas witnessed more homelessness in comparison to the rural areas of the country. Homelessness is a growing issue in India that leads to various other problems like violence and drug addiction among others.

The Housing Assistance Payment (HAP) is currently available in all 31 local authority areas and to homeless households in the Dublin local authorities under the Homeless HAP pilot. There are currently some 36,000 households being supported by the scheme, including 17,916 additional households in 2017. The HAP scheme is provided under Part 4 of the Housing (Miscellaneous Provisions) Act 2014. Once transferred from Rent Supplement to HAP, households are in receipt of a much more secure form of state support and crucially the linkage between their employment status and their housing need is broken. They can work fulltime. Homeless HAP Dublin Regional Homeless Executive data is included with the relevant Dublin Local Authority

There are several forms, regulations and data associated with the Emergency Assistance (EA) Family Shelter Program for our business partners and constituents.

This table provides insight into the number of people receiving benefits under the Work and Social Assistance Act (WWB, up to and including 2014) and the Participation Act (from 2015). The persons in an institution, those cared for elsewhere, are not included. Homeless people on benefits are also not included. A distinction is made between people who have not yet reached state pension age and people who have reached state pension age. Statistics Netherlands is switching to a new classification of the population by origin. From now on, where someone was born is more decisive than where someone's parents were born. The word migration background is no longer used. The main division western/non-western is replaced by a division based on continents and common immigration countries. This classification is gradually being introduced in tables and publications with population by origin. It can be decided that the origin classification will be dropped for a StatLine table. Status of the figures: The figures up to and including 2022 are final. The figures for January-February 2023 are further provisional. The figures for the last three months are provisional. Changes as of July 31, 2023: - The figures for February 2023 have been adjusted; - The provisional figures for May 2023 have been added. When will new figures be available? The provisional figures of June 2023 will be published in August 2023.

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.

The Housing Assistance Payment (HAP) is currently available in all 31 local authority areas and to homeless households in the Dublin local authorities under the Homeless HAP pilot. The HAP scheme is provided under Part 4 of the Housing (Miscellaneous Provisions) Act 2014. Once transferred from Rent Supplement to HAP, households are in receipt of a much more secure form of state support and crucially the linkage between their employment status and their housing need is broken. They can work full-time.

The Private Rented Sector has grown considerably over the last 25 years and is now a crucial part of the UK's housing mix. The sector provides easily accessible accommodation for young, mobile, transient populations, but is increasingly being used to provide long term accommodation for vulnerable groups who in earlier times might have been able to access local authority or housing association accommodation. An online survey was selected as the principal data collection tool for the research. The resulting raw data has been attached as an SPSS Statistics Data Document.

The Private Rented Sector has grown considerably over the last 25 years and is now a crucial part of the UK's housing mix. The sector provides easily accessible accommodation for young, mobile, transient populations, but is increasingly being used to provide long term accommodation for vulnerable groups who in earlier times might have been able to access local authority or housing association accommodation.

With the arrival of the pandemic, the Scottish Government made a series of temporary changes to the legislation that governs the tenant eviction process. These changes have been made over concerns that Covid-19 would result in an increase in evictions resulting in tenants being made homeless and support services being overwhelmed. The changes include extensions to notice periods (up to 6 months) for certain grounds, the introduction of 'Pre-action requirements', and the re-classification of all grounds as discretionary. Importantly the changes also include a ban on evictions (technically a ban on the enforcement of evictions) due to tenant non-payment.

Whilst these changes are believed to have safeguarded tenants and support services in the short term, they have not addressed the underlying problems, and unprecedented levels of rent arrears have accumulated for private landlords. Every additional month of arrears increases tenant debt levels and further reduces landlord income. In many cases landlords rely on this income to support their living expenses or service a mortgage. The changes are only temporary and there is great concern as to what will happen when the legislation expires. Some believe that there will be no markable increase in the number of evictions, others belief that there will be a significant increase leading to many tenants being made homeless. While the truth is likely to be somewhere in between, policy makers, service providers and charities urgently need a more detailed understanding of what is likely to happen, to allow them to create policies that minimise the impacts of the ban when it comes to an end. To obtain this understanding we need to identify the extent of the problem as it stands, specifically, how many landlords have arrears and how large are the arrears? We also need to gain insights into how landlords are currently dealing with arrears, to identify how familiar landlords are with the temporary changes in legislation, and to ascertain whether the support currently available, such a loan schemes, is fit for purpose. Insight into the resilience of landlords and identification of the tipping points that may result in an increase in evictions is also necessary, as is the identification of landlord intentions following expiry of the legislation.

Unfortunately, we do not currently know the answers to these questions. In fact, we know very little about the behaviours or intentions of landlords in general. This research therefore aims to answer these questions by undertaking primary research with the support of landlords.

The research will take the form of a quantitatively focused online questionnaire, which will be issued to a large population of Scottish Private Rented Sector (SPRS) landlords via our project partner SafeDeposits Scotland. The responses from the survey will be analysed and findings generated. The findings will then be shared directly with Government, Parliament, Service Providers and Third Sector organisations. To maximise impact and reach, the findings will be also be made available through blog and twitter feeds.

The entire research process from survey design to the dissemination of the findings will take just 4 months. This accelerated program is required to allow those receiving the data sufficient time to digest the findings and generate appropriate policies in response.

In 2022, there were an estimated 196,000 Germans who were homeless. There were significantly more non-Germans who were homeless, at 411,000.