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.

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.

Between 2022 and 2023, New Hampshire had the highest positive percentage change in the estimated number of homeless people in the United States, with the number of homeless people living in New Hampshire increasing by **** percent within this time period.

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.

This report displays the data communities reported to HUD about the nature of and amount of persons who are homeless as part of HUD's Point-in-Time (PIT) Count. This data is self-reported by communities to HUD as part of its competitive Continuum of Care application process. The website allows users to select PIT data from 2005 to present. Users can use filter by CoC, states, or the entire nation.

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.

In 2011, about ** 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 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.

This dataset includes Point-in-Time (PIT) data collected in Cambridge between 2012 and 2025. The PIT count is a count of sheltered and unsheltered homeless persons on a single night in January. The U.S. Department of Housing and Urban Development (HUD) requires that communities receiving funding through the Continuum of Care (CoC) Program conduct an annual count of homeless persons on a single night in the last 10 days of January, and these data contribute to national estimates of homelessness reported in the Annual Homeless Assessment Report to the U.S. Congress. This dataset is comprised of data submitted to, and stored in, HUD’s Homelessness Data Exchange (HDX).

This dataset includes basic counts and demographic information of persons experiencing homelessness on each PIT date from 2012-2025. The dataset contains three rows for each year, including one row for each housing type: Emergency Shelter, Transitional Housing, or Unsheltered. The dataset also includes housing inventory counts of the number of shelter and transitional housing units available on each of the PIT count dates.

Information about persons staying in emergency shelters and transitional housing units is exported from the Homeless Management Information System (HMIS), which is the primary database for recording client-level service records. Information about persons in unsheltered situations is compiled by first conducting an overnight street count of persons observed sleeping outdoors on the PIT night to establish the total number of unsheltered persons. Demographic information for unsheltered persons is then extrapolated by utilizing assessment data collected by street outreach workers during the 7 days following the PIT count.

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.

Homelessness Report January 2025. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0).Homelessness data Official homelessness data is produced by local authorities through the Pathway Accommodation and Support System (PASS). PASS was rolled-out nationally during the course of 2013. The Department’s official homelessness statistics are published on a monthly basis and refer to the number of homeless persons accommodated in emergency accommodation funded and overseen by housing authorities during a specific count week, typically the last full week of the month. The reports are produced through the Pathway Accommodation & Support System (PASS), collated on a regional basis and compiled and published by the Department. Homelessness reporting commenced in this format in 2014. The format of the data may change or vary over time due to administrative and/or technology changes and improvements. The administration of homeless services is organised across nine administrative regions, with one local authority in each of the regions, “the lead authority”, having overall responsibility for the disbursement of Exchequer funding. In each region a Joint Homelessness Consultative Forum exists which includes representation from the relevant State and non-governmental organisations involved in the delivery of homeless services in a particular region. Delegated arrangements are governed by an annually agreed protocol between the Department and the lead authority in each region. These protocols set out the arrangements, responsibilities and financial/performance data reporting requirements for the delegation of funding from the Department. Under Sections 38 and 39 of the Housing (Miscellaneous Provisions) Act 2009 a statutory Management Group exists for each regional forum. This is comprised of representatives from the relevant housing authorities and the Health Service Executive, and it is the responsibility of the Management Group to consider issues around the need for homeless services and to plan for the implementation, funding and co-ordination of such services. In relation to the terms used in the report for the accommodation types see explanation below: PEA - Private Emergency Accommodation: this may include hotels, B&Bs and other residential facilities that are used on an emergency basis. Supports are provided to services users on a visiting supports basis. STA - Supported Temporary Accommodation: accommodation, including family hubs, hostels, with onsite professional support. TEA - Temporary Emergency Accommodation: emergency accommodation with no (or minimal) support....

BackgroundHomelessness is a growing public health challenge in the United Kingdom and internationally, with major consequences for physical and mental health. Women represent a particularly vulnerable subgroup of the homeless population, with some evidence suggesting that they suffer worse mental health outcomes than their male counterparts. Interventions aimed at improving the lives of homeless women have the potential to enhance mental health and reduce the burden of mental illness in this population. This review synthesised the evidence on the effectiveness and acceptability of interventions which aim to improve mental health outcomes in homeless women.MethodsFive electronic bibliographic databases: MEDLINE, PsycInfo, CINAHL, ASSIA and EMBASE, were searched. Studies were included if they measured the effectiveness or acceptability of any intervention in improving mental health outcomes in homeless women. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) Quality Assessment Tool. A narrative summary of the study findings in relation to the research questions was produced.ResultsThirty-nine studies met inclusion criteria. Overall, there was moderate evidence of the effectiveness of interventions in improving mental health outcomes in homeless women, both immediately post-intervention and at later follow-up. The strongest evidence was for the effectiveness of psychotherapy interventions. There was also evidence that homeless women find interventions aimed at improving mental health outcomes acceptable and helpful.ConclusionsHeterogeneity in intervention and study methodology limits the ability to draw definitive conclusions about the extent to which different categories of intervention improve mental health outcomes in homeless women. Future research should focus on lesser-studied intervention categories, subgroups of homeless women and mental health outcomes. More in-depth qualitative research of factors that enhance or diminish the acceptability of mental health interventions to homeless women is also required.

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

In 2023, the resident population of California was ***** million. This is a slight decrease from the previous year, with ***** million people in 2022. This makes it the most populous state in the U.S. Californian demographics Along with an increase in population, California’s gross domestic product (GDP) has also been increasing, from *** trillion U.S. dollars in 2000 to **** trillion U.S. dollars in 2023. In the same time period, the per-capita personal income has almost doubled, from ****** U.S. dollars in 2000 to ****** U.S. dollars in 2022. In 2023, the majority of California’s resident population was Hispanic or Latino, although the number of white residents followed as a close second, with Asian residents making up the third-largest demographic in the state. The dark side of the Golden State While California is one of the most well-known states in the U.S., is home to Silicon Valley, and one of the states where personal income has been increasing over the past 20 years, not everyone in California is so lucky: In 2023, the poverty rate in California was about ** percent, and the state had the fifth-highest rate of homelessness in the country during that same year, with an estimated ** homeless people per 10,000 of the population.

For many residents, York Region is a wonderful place to live, work and play. A welcoming and prosperous community home to over 1.2 million people. Despite a thriving economy, a number of individuals and families struggle to secure safe and affordable housing. Reasons for homelessness are varied and complex, often intersecting with other societal issues, including systemic discrimination and the growing gap between household income and the rising cost of housing. The Regional Municipality of York and United Way Greater Toronto have a long-standing partnership and a commitment to creating healthy, safe and vibrant communities, and have collaborated to share updated data on homelessness in York Region through the Point-in-Time I Count 2021. Delayed by the pandemic and conducted under the constraints of COVID-19, this count overcame a number of obstacles, but they pale in comparison to the daily challenges faced by people experiencing homelessness during this crisis – tough lives made even more difficult. Together with the homelessness service sector, we have learned so much throughout the last few years. We’ve evolved our service provision, keeping pace with waves of COVID-19 and accompanying protocols to continue to meet urgent needs, even under these extenuating circumstances. We’ve understood what is possible when galvanized by this historic moment, working in closer collaboration than ever before. It is in this spirit we share the findings of I Count 2021 and commit to addressing the challenges before us, doing our part to move forward on recommendations in support of those facing homelessness.

Introduction: Youth are among the fastest growing subset of the homeless population. Youth experiencing homelessness (YEH) face multiple barriers in accessing health information and health care services. As such, they may best be reached through information and communication technologies (ICTs); however, limited efforts have been made to synthesize literature on this topic. In this paper, we review studies on access and use of ICTs among YEH. We also discuss the implications of the review for healthcare.Methods: Using scoping review methodology, we searched four databases (Medline, Embase, PsycInfo, and CINAHL) for studies published between 2005 and 2019, screening 1,927 titles and abstracts.Results: We identified 19 articles reporting on studies with YEH between the ages of 12-30, the majority of which were published in the USA. On average, more than half of the samples owned smartphones, used social media, and accessed the internet weekly to search for housing, employment, health information, and to communicate with family, peers, and health workers; however, many youths faced barriers to sustaining their access to technology. Benefits of using ICTs were connecting with home-based peers, family, and case workers, which was associated with a reduction in substance use, risky sexual health behaviors, and severity of mental health symptoms. Connecting with negative, street-based social ties was identified as the most common risk factor to using ICTs due to its association with engaging in risky sex behaviors and substance abuse.Discussion: This review supports the advancement of research and practice on using ICTs to deliver public health information and health services to YEH, while also considering the health-related risks, benefits, and barriers that YEH face when accessing ICTs.

The novel coronavirus infectious disease (COVID-19) pandemic has negatively impacted not only our physical health but also mental health, including increasing depressive and anxiety symptoms. In particular, socially and physically vulnerable populations, such as people experiencing homelessness (PEH), may be more likely to have their mental health worsened by the pandemic due to having more difficulty meeting basic human needs. Therefore, this study aims to assess the impact of COVID-19 on mental health of the homeless in Japan by evaluating depressive and anxiety symptoms and identifying the associated factors particularly, sociodemographic variables as age, employment status and the fear and perceived risk of COVID-19 infection. A cross-sectional interview survey among 158 PEH in Osaka Prefecture was conducted from April to May 2022. The survey included sociodemographic questions and history and perceived risk of infection with COVID-19. Depressive symptoms were measured using the nine-item Patient Health Questionnaire (PHQ-9) and anxiety symptoms using the seven-item Generalized Anxiety Disorder Scale (GAD-7), and the fear of COVID-19 using the seven-item Fear of New Coronavirus Scale (FCV-19S). In this study, the prevalence of depression (PHQ-9≥10) was 38.6%, anxiety disorder (GAD≥10) was 19.0%, and high fear of COVID-19 (FCV-19S≥19) was 28.5%. Univariate logistic regression analysis revealed that PEH in younger age groups (18–34 years), and with joblessness, higher perceived infection risk, and higher fear of COVID-19 were more likely to suffer from depression and anxiety (p

Abstract

The 2010 Population Census has been designed to meet various data needs, including as (1) the basis for updating population data bases up to the lowest level of administrative unit (village); (2) valuable input in monitoring the progress for achieving the Millennium Development Goals (MDGs); (3) the basis for preparing small area statistics; (4) basis for preparing population projection; (5) the basic data in developing sampling frame for various surveys conducted between 2010-2020.

During the 2010 Population Census it is estimated that the population of Indonesia would be around 232 million people who live in about 65 million households. Considering the huge number of population to be recorded the field enumeration will require more than 650.00 field workers, which consist about 450.000 enumerators, 150.000 team coordinators, and 15.000 field coordinators. Data collection is designed to be undertaken in groups, each group (team) consist of four persons, i.e. three numerators and one team coordinator. All field workers would have undertaken a three-day training before hand.

The peak of census operations will be during the months of May 2010 where field enumeration will be taking place simultaneously overall the geographical area of Indonesia. May 15 will be designated as the Census Date of the 2010 Population Census, therefore on the 15 of May 2010 the homeless and nomadic population will be canvassing.

Updating population data is a very crucial issue in the upcoming population census, in the sense that since the implementation of decentralization in 2001 the number of administrative units in the regions (province, district, sub district, and village) have been increasing tremendously, such that statistical measures could not appropriately follows the changes. Prior to decentralization the number of provinces was 27, districts 297, sub districts 4.200, and villages about 65.000. At present the number of provinces is 33, districts 497, sub districts about 7.000, and villages about 75.000.

Geographic coverage

National

Analysis unit

• Individuals;
• Households.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

In the modern context there is always an increasing demand for data and information, and this is not an exception for the census as well. A census being a huge national undertaking incurring substantial amount of money, while the resources are always constrained and limited. The choice of topic to be covered in a census mainly depends upon the user needs. However, as society becomes complex the demand of population data for development plans is not only increasing but the level of such information is switching to smaller administrative levels, while census being a complex and large operation has its own limitations in meeting all the demands of data users. Another main consideration for determining census topic is to maintain comparability and continuity of the census information.

There are three kind of questionnaires will be used in the 2010 Population Census, namely C1 (42 questions) for enumerate regular household who live in the areas that are covered in the mapping, C2 (14 questions) for enumerate population who live in the areas which are not included in the mapping such as remote areas, Indonesia corps diplomatic who live abroad and L2 (number and sex) for enumerate homeless people, boat people, and tribes.

The questionnaires hopefully can accommodate the data required for the compilations of MDG Indicators, which is essential for national policy making and monitoring. The census questionnaires are presently being developed taking into considerations of the relevant United Nation recommendations as well as the suitability of the items collected to meet local conditions.

In the past population censuses, data were collected basically by face-to-face interviews, where enumerators visited all households to interview persons therein one by one. In light of the changing lifestyle of big cities people and advancement of technology, new and additional means for data collection from the households will be introduced in the 2010 Population Census. Under the new multi-modal data collection approach, e-census on the Internet and self-enumeration will be rolled out, along with the traditional “interviewer” method.

Cleaning operations

The processing of data collected in a census constitutes one of the most important and challenging activities that have to be undertaken efficiently and expeditiously in order to justify the immense resources invested in a census. This activity entailed several processes: manual editing of the questionnaires after enumeration, data capture, data cleaning and validation, and finally tabulation. Intelligence character recognition (ICR) technology will be employed for data capture.

Government’s commitment to provide provisional results within two and half months after enumeration and final results within another six months greatly influenced the strategies and actions adopted at every stage of data processing in order to adhere to the commitment.

Interview guide used for members of the social surroundings of homeless pregnant women or homeless women in the postpartum period.