10/07/2022: 12:45 PM - 1:15 PM CDT
Concurrent
Room: Grand Ballroom Salon E
Despite widespread concern about homelessness, fundamental questions about the size and characteristics of this hard to study population are unresolved, in large part because it is unclear whether existing data are sufficiently complete and reliable. We examine these questions as well as the coverage of new microdata sources that are designed to be nationally representative that will allow ground-breaking new analyses. We compare three largely unused, restricted use data sources to the less detailed public use data. In doing this triangulation of sources, we examine the completeness and accuracy of available data and improve our understanding of the size of the homeless population and its inclusion in widely used household surveys. Specifically, we compare restricted data from the 2010 Census American Community Survey (ACS), and Homeless Management Information System (HMIS) to HUD's public-use point-in-time (PIT) estimates and the Housing Inventory Count (HIC) at the national, city and county, and person level. We explore the extent to which definitional differences, weighting methodology, frame completeness, and seasonality explain discrepancies between sources. We also link HMIS shelter use data to the Census to evaluate the usefulness of these microdata to study the homeless population. Our analyses suggest that on any given night there are 500,000-600,000 people experiencing homelessness in the U.S., about one-third of whom are sleeping on the streets and two-thirds in homeless shelters, about 80-95 percent of whom were counted in the Census. Despite employing substantially different methods, the Census, ACS, and PIT arrive at similar estimates after accounting for definitional differences, ambiguity in the classification of certain facilities, and differences arising from the timeframe of Census response. The coverage of these sources is surprisingly good given the difficulties of surveying this population. By establishing the broad coverage and reliability of the new data sources, this paper lays the foundation for groundbreaking future work on the characteristics, income, safety net participation, mortality, migration, geographic distribution, and housing status transitions of the U.S. homeless population.
Homelessness
Census
American Community Survey
Presenting Author
Angela Wyse, The University of Chicago
First Author
Angela Wyse, The University of Chicago
CoAuthor(s)
Kevin Corinth, University of Chicago
Bruce Meyer, The University of Chicago
Target Audience
Mid-Level
Tracks
Knowledge
Women in Statistics and Data Science 2022