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.

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.

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).

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: Yes (Homeless, refugees, camps)

UNIT DESCRIPTIONS: - Dwellings: A building is an independent free-standing structure irrespective of its construction material, composed of one or more rooms. - Households: A household consists of a person or a group of persons who live together in the same housing unit or part of it and who consider themselves as one unit in terms of the provision of food and/or other essentials of living for the group. When most of the members of such a group are related by blood (i.e., biologically) the group shall be referred to as a Private Household for the purpose of the census. On the other hand when the group (i.e., household as defined earlier) consists of members who are not related by blood and they are more than 10, they will be considered as Non-Institutional Collective Household. Note that if the group consists of 10 or less members, it should be considered a private household. - Group quarters: An institution is usually a set of premises used to house a large number of people who are not related by blood or marriage but bound together by a common objective or personal interest (e.g., universities, boarding houses, hospitals, army barracks, camps, prisons, hotels, etc.)

Universe

Residents of Sudan

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Central Bureau of Statistics

SAMPLE DESIGN: Long form questionnaire for sedentary households (selected enumeration areas) and a sample of nomad households.

SAMPLE UNIT: Household

SAMPLE FRACTION: 16.6%

SAMPLE SIZE (person records): 5,066,530

Mode of data collection

Face-to-face [f2f]

Research instrument

Two forms: Long Questionnaire (for a sample of areas) and Short Questionnaire (for the rest of the country). The information used here is based on the long form questionnaire.

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)

Global Temporary Shelters Market to hit USD 53.26B by 2029 growing at 5.4% CAGR. Explore trends, drivers, and competition for strategic insights with The Business Research Company.

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 (institutional)

UNIT DESCRIPTIONS: - Dwellings: Not available - Households: An individual or group of people who inhabit part or all of the physical or census building, usually live together, who eat from one kitchen or organize daily needs together as one unit. - Group quarters: A special household includes people living in dormitories, barracks, or institutions in which daily needs are under the responsibility of a foundation or other organization. Also includes groups of people in lodging houses or buildings, where the total number of lodgers is ten or more.

Universe

All population residing in the geographic area of Indonesia regardless of residence status. Diplomats and their families residing in Indonesia were excluded.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Statistics Indonesia

SAMPLE DESIGN: Geographically stratified systematic sample (drawn by MPC).

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 20,112,539

Mode of data collection

Face-to-face [f2f]

Research instrument

L1 questionnaire for buildings and households; L2 questionnaire for permanent residents; and L3 questionnaire for non-permanent residents (boat people, homeless persons, etc).

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.

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 (institutional) - Special populations: Homeless, boat people

UNIT DESCRIPTIONS: - Dwellings: Not available - Households: An individual or group of people who inhabit part or all of the physical or census building and usually live together and eat together from one kitchen. One kitchen means that the daily needs are managed and combined into one. - Group quarters: An institutional household includes people living in a dormitory, barracks, or insitution where everyday needs are managed by an institution or foundation. Also includes groups of 10 or more people in lodging houses or buildings.

Universe

All population, Indonesian and foreign, residing in the territorial area of Indonesia, regardless of residence status. Includes homeless, refugees, ship crews, and people in inaccessible areas. Diplomats and their families residing in Indonesia were excluded.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Statistics Indonesia

SAMPLE DESIGN: Geographically stratified systematic sample (drawn by MPC).

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 22,928,795

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires: C1 to enumerate regular households living in areas covered in the census mappling; C2 for the population living in areas not included in the mapping, such as remote areas; and L2 for the homeless, boat people, and tribes.

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

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

Households and persons

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Homeless people, temporarily absent persons, and temporary residents

UNIT DESCRIPTIONS: - Dwellings: Housing stock are living quarters irrespective of ownership, including residential buildings, special houses (like hostels, houses for lonely and old people, children's homes, boarding houses for disabled, school hostels and boarding school), flats, service housings, other living accomodations in other buildings suited for living. - Households: A group of people sharing the same housing unit (or one person living alone), jointly keeping the house, i.e. fully or partially pooling their individual budgets for common expenditures for food and daily living needs or having a common budget who may or may not be related by kinship. - Group quarters: Groups of people living at the same institution (housing unit), sharing meals, without having individual budgets or common consumer expenditures, subject to the same general rules, and usually unelated by kinship.

Universe

All population inside the country, including private and institutional households and their housing conditions

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistical Committee of the Kyrgyz Republic

SAMPLE DESIGN: 20% sample drawn by the country: systematic sample of every 5th household or every 5th individual in collective household 10% sample drawn by MPC from the 20% sample: systematic sample of every 2nd household

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 476,886 (persons in private and selected households only)

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two forms: "List of residents and their housing conditions" (Form 1) and "Census questionnaire" (Form 2).

Response rate

COVERAGE: 100%

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: Yes (Homeless)

UNIT DESCRIPTIONS: - Dwellings: A dwelling unit may be defined as any structure; permanent, semi permanent or traditional where people live and sleep. It may be a hut, house, stores with a sleeping room or rooms at the back or sides, a shelter of reeds/straw such as those used by fishermen, or any other structure where people sleep. - Households: A household consists of one or more persons, related or unrelated, who live together and make common provision for food. They regularly take all their food from the same pot, and/or share the same grain store (nkhokwe) or pool their incomes for the purpose of purchasing food. Persons in a household may live in one or more dwelling units. - Group quarters: Collective household refers to a large group of people who live together and sharing common facilities such as kitchen, toilet, lounge, and dormitories. In such situation the residents may not have complete independent quarters that qualify as housing units as their living quarters during the census period.

Universe

All persons present in Malawi at the time of census. These include foreigners with acknowledged status as refugees, and citizens of Malawi who at the time of census are absent temporarily (less than 6 months). However, diplomatic personnel of the foreign diplomatic and consular representative offices, foreign military personnel and their family members, and the members and representatives of the international organizations and communities located in Malawi are not enumerated.

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): 1,343,078

Mode of data collection

Face-to-face [f2f]

Research instrument

Census questionnaire containing questions on demographic and socio-economic characteristics of the population, dwelling unit characteristics, emigration, and maternal and general deaths

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 (institutional) - Special populations: Yes (homeless)

UNIT DESCRIPTIONS: - Dwellings: A building is generally a single structure on the ground. It is covered by a roof and usually enclosed within external walls or with common dividing walls with adjacent buildings. In some areas the very nature of construction of houses is such that there may not be any wall. Sometimes a building is made up of more than one component unit which are used or likely to be used as dwellings (residences) or as establishments such as shops, business houses, offices, factories, workshops, work-sheds, schools, places of entertainment and places of worship or as go-downs, stores, animal sheds, etc. - Households: A household is a group of persons who commonly live together and would take their meals from a common kitchen unless the exigencies of work prevented any of them from doing so. There may be a household of persons related by blood, a household of unrelated persons or a mix of both. - Group quarters: An institutional household is a household of unrelated persons like boarding houses, messes, hostels, residential hotels, rescues homes, jails, pagodas, etc. It should be noted that if a group of persons who are unrelated to each other live in a building/structure, but do not have their meals from a common kitchen, then they would not constitute an institutional household.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics, Ministry of Planning

SAMPLE DESIGN: Stratified systematic sample.

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 1,340,121

Mode of data collection

Face-to-face [f2f]

Research instrument

Form A: Houselist and Form B: Household Questionnaire. The latter for the information used here.

In 2020, the number of people affected, injured, or left homeless due to storms across the globe amounted to roughly 45.5 million. In the past three decades, the impact of storms were highest in 2002, with over 111 million people affected. Overall, between 1990 and 2020, more than 410 thousand deaths were caused by storms worldwide.

Out of all OECD countries, Cost Rica had the highest poverty rate as of 2022, at over 20 percent. The country with the second highest poverty rate was the United States, with 18 percent. On the other end of the scale, Czechia had the lowest poverty rate at 6.4 percent, followed by Denmark.

The significance of the OECD

The OECD, or the Organisation for Economic Co-operation and Development, was founded in 1948 and is made up of 38 member countries. It seeks to improve the economic and social well-being of countries and their populations. The OECD looks at issues that impact people’s everyday lives and proposes policies that can help to improve the quality of life.

Poverty in the United States

In 2022, there were nearly 38 million people living below the poverty line in the U.S.. About one fourth of the Native American population lived in poverty in 2022, the most out of any ethnicity. In addition, the rate was higher among young women than young men. It is clear that poverty in the United States is a complex, multi-faceted issue that affects millions of people and is even more complex to solve.

Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. Principal investigators are the Directorate-General Communication and on occasion other departments of the European Commission or the European Parliament. Over time, candidate and accession countries were included in the Standard Eurobarometer Series. Selected questions or modules may not have been surveyed in each sample. Please consult the basic questionnaire for more information on country filter instructions or other questionnaire routing filters. In this study the following modules are included: 1. Poverty and social exclusion, 2. Mobile phone use in other EU countries, 3. Financial and economic crisis, 4. International trade.
Topics: 1. Poverty and social exclusion: own life satisfaction (scale); satisfaction with family life, health, job satisfaction and satisfaction with standard of living (scale); personal definition of being poor; estimated spread of poverty in the own country; estimated proportion of poor in the total population; people who live in poverty in the own residential area; estimated increase of poverty: in the living area, in the own country, in the EU and in the world; reasons for poverty in general; social and individual causes of poverty; population group with the highest risk of poverty; absolutely neccessary long-lived assets for a minimum acceptable standard of living (heating facility, adequate housing, plenty of room to life and privacy, varied meals, repair or replacement of a refrigerator, an annual family vacation, medical care, dental care, access to banking services as well as to public transport, access to modern means of communication, to leisure and cultural events, electricity, gas and tap water); perceived impairments (deprivation) caused by poverty in the own country: access to decent housing, education, health care, regular meals, bank service, modern means of communication to the labor market, maintaining a network of friends and acquaintances, as well as the chance to start the own business; assessment of the financial situation and level of future generations compared to parents’ and grandparents’ generation; attitude towards poverty: the need for action by the government, too large income differences, duty of the government for the fair redistribution of wealth, more taxes for the rich, automatic reduction of poverty through economic growth, poverty will always exist, income inequality is necessary for economic development; perceived conflict groups: rich and poor, employers and workers, young and old, different racial and ethnic groups; general trust in people and trust in the parliament and the government (scale); trust in institutions in poverty reduction: EU, national government, local authorities, NGOs, religious institutions, private companies, citizens; causes of poverty in the own country: globalisation, low economic growth, profit motive, global financial system, politics, immigration, poor social system; primarily responsible for poverty reduction; importance of the role of the EU in combating poverty; prioritized policies of the state government to combat poverty; assessment of the effectiveness of public policies to reduce poverty; opinion on the extent of financial support for the poor; preference for state or private provision of jobs; attitude towards education fees; controlling for social spending; individual responsibility or responsibility of the government (welfare state) for the supply of citizens; attitude towards the minimum wage; optimistic about the future vs. personally perceived social exclusion; perceived difficulties to get access to financial services: bank account, bank card, credit card, consumer loans and a mortgage; personal risk of over-indebtedness; attitude towards loans: easy access to interest free loans for the poor, stronger verification of borrowers by credit institutions, easier access to start-up loans for unemployed, free financial advice for the poor, possibility for every individual to open a basic bank account; affordable housing in the residential environment; extent of homelessness in the residential environment and its recent change; reasonableness of the expenditure for the homeless by the national government and the local authorities; assumed reasons for homelessness: unemployment, no affordable housing, destruction of the living space by a natural disaster, indebtedness, illness, addiction to drugs or alcohol, family breakdown, loss of a close relative, mental health problems, lack of access to social services and support facilities, and lack of identification papers or free choice of this life; probability of own homelessness; personal charity actions to support poor people: monetary donations to charities, volunteer work in charities, help with recording in emergency shelters and with job search, giving clothes to poor people, buying...

Various state governments in India set-up shelter homes for those stranded by the coronavirus (COVID-19) lockdown implemented in late March, 2020. The southern state of Kerala topped the list with 15,141 shelter homes in April. This was nearly 70 percent of all government camps across the country. Uttar Pradesh followed with 2,230 camps and Maharashtra ranked third during the same time period.

The country went into lockdown on March 25, 2020, the largest in the world, restricting 1.3 billion people. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

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 by any other type of fence or paling. In some case it could be reduced to a single building (single hut, house with one or several apartments, or other cases), including a series of distinct dwelling units. Generally, it is placed under the authority of a compound head [Chef de Concession: C.C.]. A compound may include one or several household. - Households: A set of persons, related by blood or not, who live under the same roof and share part or all of their resources to cover their basic needs, in particular lodging and food. These persons are called the household members, take generally their meals together, and recognize the authority of a sole and same person, called the Household Head [Chef de ménage: C.M.]. This concept translates to the words the words ?njël? in Wolof, ?ngank? in Sereer, ?hirande? in Pulaar, and ?siitik? in Diola.

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): 994,562

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire is divided into six sections. Section A is geographic identification of the household. Section B includes questions on the individual characteristics. Section C includes questions on the deads the occurred in the household last year. Section D includes questions on out-migrants who left the household in the past five years. Section D contains housing questions, and Section F contains questions on poverty.