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Homeless people die because of there stress and depression and how there going to survive the cold the long winters or the really hot summers this relates to my claim above because no one should live outside.

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I chose this picture because it represents what families are going through and how hard it can be in parents. And it'a related to my topic and claim statement.

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I chose this picture because this shows what happens to people that are homeless and where they sleep and where they eat. And how their life is and how hard it can be to live outside

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I chose this picture because it shows where people sit so they can get money and food to support them self's and maybe others.

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I chose this picture because it is related to my topic and claim statement by showing " No person should be homeless."

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This website is up to date and has homelessness charts and graphs from all around the world and has interesting information on my topic. Has recent information that can be very good to have if you don´t know a lot about this topic.

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This entry studies available data and empirical evidence on homelessness, focusing specifically on how it affects people in high-income countries. Homeless people are among the most vulnerable groups in high-income countries.

You can read our entry on Extreme Poverty if you are interested in a broader perspective on economic deprivation and a perspective beyond high-income countries.

Interactive charts on Homelessness

Official estimates of homelessness

Homeless people in the US

One of the most common ways to measure homelessness is through so-called 'point-in-time' counts of people who are sleeping in shelters or on the streets. These are figures that are intended to reflect the number of people who are homeless 'on any given night'.

The main source of point-in-time estimates in the US is the Department of Housing and Urban Development, which releases the Annual Homeless Assessment Report to Congress (AHARC). They calculate 'point-in-time' estimates by counting homeless people in late January of each year.

The main underlying sources of data used to produce the figures published in the AHARC are (i) registries from shelters and (ii) counts and estimates of sheltered and unsheltered homeless persons provided by care organizations, as part of their applications for government funding.

The counts from the care organizations (called ' Continuums of Care ' in the US) come from active counts that are undertaken at the community level, by walking around the streets, using pre-established methodologies.

In these figures, 'Sheltered Homelessness' refers to people who are staying in emergency shelters, transitional housing programs, or safe havens. 'Unsheltered Homelessness', on the other hand, refers to people whose primary nighttime residence is a public or private place not designated for, or ordinarily used as, a regular sleeping accommodation for people - for example, the streets, vehicles, or parks.

Homeless people in the UK

In the UK, the government provides official point-in-time estimates of homelessness.

These official estimates come from reports submitted annually by local authorities to the Department for Communities and Local Government. The main sources of information for these reports are either active counts carried out on a single night, or estimates based on information provided by agencies such as outreach workers, the police, the voluntary sector and faith groups who have contact with rough sleepers on the street.

People experiencing homelessness in these figures correspond to people 'sleeping rough' and do not take into account most of the sheltered homeless population.
NB. The figures for the UK are not really comparable to those presented for the US above: the definitions and measurement instruments are somewhat different. Below we explore the issue of cross-country comparability across OECD countries in more detail.

Homeless people in OECD countries

The OECD Affordable Housing Database presents a collection of available statistics on homelessness in member countries, in line with definitions used in the corresponding national surveys. Estimates, in most cases, correspond to point-in-time estimates.

In order to introduce some degree of comparability, the OECD provides details regarding what is included in the reported estimates of homeless people, country by country. A full table of definitions of homelessness used for the purpose of data collection in the OECD can be found in Annex 1 of OECD Affordable Housing Database (2016).

In the visualization we provide an overview of cross-country estimates that are comparable in the sense that they all include exclusively people in the following categories: (i) people living in the streets or public spaces without a shelter that can be defined as living quarters; (ii) people in emergency accommodation with no place of usual residence, who move frequently between various types of accommodation; and (iii) people living in accommodation for the homeless, including homeless hostels, temporary accommodation and other types of shelters for the homeless.

Some issues of comparability remain, since the measurement instruments are not standardized, and data is collected at different points in time (the years for the estimates in the figure range from 2009 to 2015, depending on the country). Nevertheless, these figures give us a rough sense of the relative size of the problem in different countries.

These numbers show that the US is at the higher end of the spectrum together with France, while Southern European countries are at the lower end.

Evidence from cross-country studies

As we have already mentioned, there is no internationally agreed definition of homelessness, and there are no standardized instruments for measuring homelessness - not even among OECD countries. Given this difficulty, some studies have tried to collect information through specially-designed surveys and instruments, such as phone calls enquiring about experiences with homelessness.

Despite obvious limitations with the data (telephone surveys are likely to exclude those who are homeless in the long run), these studies provide estimates that are suitable for comparisons across countries.

The visualization shows the findings from one such study (Toro et al. 2007).

These estimates come from randomly sampling and interviewing people by telephone in five different high-income countries, asking them about their experiences with homelessness; specifically, whether they had ever had an episode of literal homelessness in their life (where 'literal homelessness' means sleeping on the street or in a shelter facility).

As we can see, homelessness is a significant issue in all these countries. In the UK, about 1 out of 13 adults report having slept at least once on the streets or in a shelter in their lifetime.

To the extent that the point-in-time estimates of homelessness tend to be much lower than the lifetime rates of prevalence (a fact that is visible if we compare the estimates for the US and UK in the chart with those discussed above), we can infer that, for the majority of people in these countries, these episodes of homelessness are transitory.

This last point is consistent with the evidence from other studies. Kuhn & Culhane (1998) and Benjaminsen and Andrade (2015), using data from the US and Denmark respectively, show that the largest group amongst the homeless are the 'transitionally homeless', with relatively few and short shelter stays.

How do the 'literal homeless' compare to the 'extreme poor' who are not homeless? Researchers have tried to answer this question by matching and comparing groups of individuals who fall under these different categories of vulnerability.

Toro et al. (1995), for example, sampled 144 adults in the US, from sites such as soup kitchens that offer shelter facilities for some of those served, as well as shelters that offer food to poor individuals who have housing elsewhere, and constructed three roughly comparable groups: the currently homeless, the previously (but not currently) homeless, and the never-homeless but poor.

Despite the small sample sizes, they find that the never-homeless poor individuals were significantly more likely to be receiving public benefits, were less likely to have a diagnosed mental disorder or problems with substance abuse, and showed lower levels of self-rated psychological distress.

A number of other studies from the US provide similar evidence, suggesting that those who are homeless (in the sense that they are roofless or sleep in shelter facilities) tend to be a particularly vulnerable subgroup of individuals within the poor.

Of course, the data is far from perfect (small samples, potential sources of bias coming from sampling methods, etc.); but the key message here is that (i) homelessness and extreme poverty in rich countries are closely related, and (ii) we can get a sense of relationship by simply asking.

Definitions, Measurement and Empirical Gaps

There is no internationally agreed definition of homelessness. Different governments and organizations use different definitions.

In most countries, different terms are used for different types of situations. The term 'literally homeless' is often used to denote the people staying in shelters for the homeless, on the streets, or in other similar settings (e.g., in abandoned buildings, in make-shift structures, in parks). And within the group of people experiencing 'literal homelessness', it is common to distinguish between the 'unsheltered homeless' and the 'sheltered homeless'. Unsheltered homelessness is also sometimes referred to as 'rough sleeping' or 'rooflessness'.

Apart from the 'literally homeless', there are many other persons who are often classified as 'precariously housed'. This term is often used to denote people living with a family member or friend for lack of alternatives.

Unfortunately, for the purpose of measurement, estimates are not available across all these groups. In many countries it is common to report together the 'literal homeless' with the 'precariously housed'.

The most common way of measuring homelessness is through so-called 'point-in-time' estimates of people who are sleeping in shelters or on the streets. These are figures that are intended to reflect the number of people who are homeless 'on any given night'.

The main underlying sources of data used to produce point-in-time estimates are (i) registries from shelters (ii) active counts carried out on a single night, or (iii) estimates based on information provided by agencies such as outreach workers, the police, the voluntary sector and faith groups.

Point-in-time estimates are often contrasted to annual - or longer-term - prevalence estimates, typically obtained from surveys asking people about their experiences with homelessness, or from registries of people applying for social housing support.

Understanding the link between poverty and homelessness
It is surprising that we do not have a good idea of how high homelessness rates are among the poor in rich countries.

As we have already mentioned, one way to estimate the prevalence of homelessness is by asking people directly about their experiences with homelessness (e.g. by conducting phone interviews and asking whether people have ever slept rough). This suggests that by incorporating simple questions in income and consumption surveys, it should be straightforward to report official statistics on the prevalence of lifetime homelessness, both for poor and non-poor individuals. Of course, such estimates would be biased because the 'chronically homeless' do not appear in traditional surveys. But the numbers would still give us some useful hints regarding the link between poverty and homelessness.

Understanding the link between homelessness and poverty in rich countries is also important because it highlights some of the difficulties that we face when attempting to measure welfare via incomes and consumption.

As Atkinson (2016) pointed out in a report for the World Bank, the issue is that the qualitative nature of incomes and consumption, as well as the implicit degree of agency, should be taken into account when measuring poverty. To establish whether the homeless in rich countries are 'extreme poor', as measured relative to the International Poverty Line, we need to ask ourselves some difficult questions. Should income from begging, or food from a soup kitchen, be regarded as equal in value to a welfare check? Is money received from selling plasma (as described by Edin and Shaefer 2015) equivalent to a paycheck?

These difficult questions underscore the importance of tracking deprivation across multiple dimensions of well-being, including both standard and non-standard economic indicators. This is our approach at Our World in Data.
Systematic evaluation of policies to reduce homelessness in rich countries
While there is a huge literature in economics studying the effectiveness of poverty alleviation programs in low income countries, there is very little research regarding the effectiveness of policies aimed at ending homelessness in rich countries. In fact, to our knowledge, there are no experimental studies that provide solid evidence regarding policies that causally reduce homelessness.

Data: Available estimates at national level on the number of people reported by public authorities as homeless. The documentation explains what is included in the number of homeless (i.e. explains the definition used for statistical purposes)

Geographical coverage: OECD member states

Time span: Recent years, but not all countries submit estimates that are comparable across time

Available at: http://www.oecd.org/social/affordable-housing-database.htm

Data: Point-in-time estimates of sheltered and unsheltered homeless population (using definition of 'literally homeless'). Estimates are also disaggregated by demographic characteristics.

Geographical coverage: United States, disaggregated by state

Time span: 2007-2016

Available at: https://www.hudexchange.info/programs/hdx/guides/ahar/#reports

Reference: Toro, P. A., Tompsett, C. J., Lombardo, S., Philippot, P., Nachtergael, H., Galand, B., ... & MacKay, L. (2007). Homelessness in Europe and the United States: A comparison of prevalence and public opinion. Journal of Social Issues, 63(3), 505-524.

Data: Share of population who have ever been homeless (as per telephone survey results).

Geographical coverage: Germany, Belgium, Italy, United States, United Kingdom

Time span: Around 2013 (NB. interviews took place at different points in time within and across countries; but all interviews took place in the period 1999-2003).

Available at: http://www.uclep.be/wp-content/uploads/pdf/Pub/Toro_JSI_2007.pdf

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How many are homeless? How did homelessness change over time?

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Homelessness around the world should be stopped and like my previous claim ¨No one should live outside or alone.¨ I think that the government should do something about that because people die everyday and most of the people who die everyday are homeless.

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Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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The History of Homelessness. Would you help? Video #1

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The History of Homelessness. Would you help? Video #1

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Would you help this freezing homeless child?

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This is a credible site because it's from the military site and because its up to date and because it relates on how to help the people outside and the homelessness in the united states. This website has good information that helps provide a certain amount of information needed for this website and topic needed. This is good fro students because what if someone needs help not just homeless people but any one it shows that people care and are interested in helping the homelessness.

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Homeless Prevention Program from The Department of Veterans Affairs

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The Department of Veterans Affairs has programs specifically to prevent homelessness or provide relief for veterans who are already homeless. Learn more.

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This article helps inform people about what this topic is all about and how we may be able to solve the problem. Kids should be interested in helping this topic because is you put yourself in this situation would you want to be helped too. Kids don´t realize how lucky they are to have what they have they have cell phones and kindles and tablets and tv´s and electronics. They are very lucky especially when kids are homeless and they don´t even have food.

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Since the early 1990s, those coping with homelessness have also faced increasing criminalization of homeless activities by local and state governments, including sleeping, eating, sitting, and begging in public spaces. As of November 2016, 27 percent of cities in the United States impose citywide bans on begging in public, including Clearwater, Florida; Manchester, New Hampshire; and Santa Cruz, California, according to the National Law Center on Homelessness & Poverty.

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This provides information on this topic to help kids who don´t understand what this topic is and how to solve the problem. I think there should be a history lesson it because if kids learn about it then we might know what it is about and we might be willing to contribute to the homeless. Homelessness is a really big topic because there are so many things happening with homelessness everyday.

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Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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This a .gov website it even has the white house signature at bottom and is up to date and shares how many homeless people there are in all states. This website is credible because it shares enough information to inform someone about this topic with out going in to research on this topic.The United States government should make this topic more available for schools because the government thinks this all up to him to fix it well if he inform students maybe we would contribute to help this topic more.