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Articles

Housing Choice Voucher Location Patterns a Decade Later

, &
Pages 215-233
Received 23 Jan 2014
Accepted 01 May 2014
Published online: 31 Jul 2014
 

In 2003, the U.S. Department of Housing and Urban Development (HUD) prepared a study of the location patterns of the Housing Choice Voucher (HCV) program. This study became an important baseline for the evaluation of the HCV program and its ability to serve the goal of poverty deconcentration. The study examined the ability of HCV households in the 50 largest metropolitan areas to make entry to a broad array of neighborhoods and to locate in high-opportunity neighborhoods with low levels of poverty.

New data from HUD and the American Community Survey permit the study to be replicated. We find that vouchers continue to consume only a small portion of the housing stock, with relatively small amounts of spatial concentration. Unfortunately, only about one in five voucher households locate in low-poverty neighborhoods, and this share is rising only very slowly. If the nation wants to pursue poverty deconcentration through the HCV program, we cannot rely on the program, as it is now structured, to accomplish this goal. Additional incentives and constraints will be needed, similar to those that were part of the Gautreaux and Moving to Opportunity programs.

Additional information

Notes on contributors

Kirk McClure

Kirk McClure is a professor in the Department of Urban Planning at the University of Kansas, where he teaches and performs research on affordable housing and housing policy analysis.

Alex F. Schwartz

Alex F. Schwartz is a professor at the Milano School of International Affairs, Management, and Urban Policy at the New School. His principal area of research is housing and community development. He is the author of Housing Policy in the United States, 3rd edition (Routledge, 2014).

Lydia B. Taghavi

Lydia B. Taghavi is a social science analyst in HUD's Office of Policy Development and Research. She is part of a team responsible for the research and analysis of program data as it relates to budget formulation, the setting of FMR and income limits, and policy decision making.

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