Homelessness, Temperatures, Shelter Rate, Bed Rate

Homelessness, Temperatures, Shelter Rate, Bed Rate

Timothy Taylor 28/04/2020 6
Homelessness, Temperatures, Shelter Rate, Bed Rate

How does the homelessness situation vary across states? Brent D. Mast offers some basic facts in "Measuring Homelessness and Resources to Combat Homelessness with PIT and HIC Data" (Cityscape, vol 22, no. 1, published by US Department of Housing and Urban Development, pp. 215-225).

The article offers useful quick overview and critique of the PIT and HIC data. The Point-in-Time (PIT) data is a national survey about the number of homeless conducted each year during the last 10 days in January. It is widely believed to understate the total number of homeless--a group it is of course difficult to count--but if the degree of understatement is similar from year to year, it can still offer a useful measure. The Housing Inventory Count (HIC) data is an "annual inventory of the beds, units, and programs" to serve the homeless.

I unabashedly admit that part of what caught my eye in Mast's article were his innovative figures for displaying this data. For example, the first column of figures here shows the temperature in January (when the PIT survey is done) for each state. The states are in groups of four. There's a tiny map of the US just to left, and the color of the four states illustrated on the first tiny map match the four colors of the point. Thus, the red dot in the top cluster of four states is Alaska, the red dot in the next cluster of four states is Wisconsin, and so on.

Linked Micromap


As the figure illustrates, the correlation between January temperature (neatly organized from top to bottom) and level of homelessness (much more scattered, in the far-right column) isn't very large. Yes, down at the bottom of the table there are states with moderate January temps that have high homelessness, like California, Nevada, Washington, and Oregon. But there are also states with moderate January temps that have lower levels of homelessness, like Florida, Arizona, Lousiana, and Texas. Conversely, there are states with colder-weather January temps like New York, Massachusetts, and Alaska but fairly high homelessness rates.

The middle column shows what share of the homeless are in some kind of shelter. Here, the western coast states of California, Oregon, and Nevada stand out for relatively low rates. Other states with colder Januaries but high rates of homelessness, like New York, Massachusetts, and Alaska, have a much higher share of the homeless in shelters. As Mast points out: "This inverse relationship could reflect less necessity for providers to shelter homeless populations in warmer winter climates, or a decreased preference of homeless people to seek winter shelter in warmer states."

The next figure shows the ratio of beds to the total homeless population. Again, the first column ranks the states by average January temperature. Don't be too concerned that the "bed ratio" exceeds 100% for some states. Remember that this method of counting the homeless--done once a year-- probably understates the total, and so some states are presumably planning for the actual number of homeless who show up on the worst nights.

Linked Micromap

In general, states with colder Januaries do tend to have a higher ratio of beds-per-homeless. However, this figure shows that the three states with very low shelter rates for the homeless--California, Oregon, and Nevada--are also the three states with very low rates of beds-for-the-homeless relative to the number of homeless. This pattern tends to suggest that the lack of beds may help to explain the low proportion of homeless people in shelter in these states. As Mast gently puts it: "The positive relationship between the proportion sheltered and the bed ratio reflects the fact that one might expect a greater proportion of homeless persons to be sheltered when more beds are available relative to the homeless population."

A version of this article first appeared on Conversable Economist

 

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  • Tom Alcock

    Lying in bed reading this post made me feel guilty for being fed and warm

  • Kelly Smith

    Makes me wish I had loads of money to help them out.

  • Matt Page

    Interesting article

  • Bob Timmins

    This shouldn’t be happening in our streets. The US is one of the richest countries in the world.

  • Daniel Ross

    No one deserves to be homeless

  • Lucy Wilson

    I feel bad for them

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Timothy Taylor

Global Economy Expert

Timothy Taylor is an American economist. He is managing editor of the Journal of Economic Perspectives, a quarterly academic journal produced at Macalester College and published by the American Economic Association. Taylor received his Bachelor of Arts degree from Haverford College and a master's degree in economics from Stanford University. At Stanford, he was winner of the award for excellent teaching in a large class (more than 30 students) given by the Associated Students of Stanford University. At Minnesota, he was named a Distinguished Lecturer by the Department of Economics and voted Teacher of the Year by the master's degree students at the Hubert H. Humphrey Institute of Public Affairs. Taylor has been a guest speaker for groups of teachers of high school economics, visiting diplomats from eastern Europe, talk-radio shows, and community groups. From 1989 to 1997, Professor Taylor wrote an economics opinion column for the San Jose Mercury-News. He has published multiple lectures on economics through The Teaching Company. With Rudolph Penner and Isabel Sawhill, he is co-author of Updating America's Social Contract (2000), whose first chapter provided an early radical centrist perspective, "An Agenda for the Radical Middle". Taylor is also the author of The Instant Economist: Everything You Need to Know About How the Economy Works, published by the Penguin Group in 2012. The fourth edition of Taylor's Principles of Economics textbook was published by Textbook Media in 2017.

   

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