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The goal of Cityscape is to bring high-quality original research on housing and community development issues to scholars, government officials, and practitioners. Cityscape is open to all relevant disciplines, including architecture, consumer research, demography, economics, engineering, ethnography, finance, geography, law, planning, political science, public policy, regional science, sociology, statistics, and urban studies.

Cityscape is published three times a year by the Office of Policy Development and Research (PD&R) of the U.S. Department of Housing and Urban Development.

  • Volume 19, Number 1
  • Managing Editor: Mark D. Shroder
  • Associate Editor: Michelle P. Matuga

Housing Tenure and Affordability Relative to Communities of Opportunity in the Cincinnati Metropolitan Area

John C. Huggins
U.S. Department of Housing and Urban Development

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Geographic Information Systems (GIS) organize and clarify the patterns of human activities on the Earth’s surface and their interaction with each other. GIS data, in the form of maps, can quickly and powerfully convey relationships to policymakers and the public. This department of Cityscape includes maps that convey important housing or community development policy issues or solutions. If you have made such a map and are willing to share it in a future issue of Cityscape, please contact john.c.huggins@hud.gov.

Opinions expressed in this article are those of the author and do not necessarily reflect the views and policies of the U.S. Department of Housing and Urban Development or the U.S. government.

The primary purpose of the Comprehensive Housing Affordability Strategy (CHAS) data is to demonstrate the number of households in need of housing assistance. This number is estimated by examining the number of households that have certain housing problems and have incomes low enough to qualify for U.S. Department of Housing and Urban Development (HUD) programs (primarily 30, 50, and 80 percent of HUD Area Median Family Income (HAMFI). It is also important to consider the prevalence of housing problems among different types of households such as elderly, disabled, and minority households, among others. CHAS data provide counts of the numbers of households that fit these HUD-specified characteristics in HUD-specified geographic areas. In addition to estimating low-income housing needs, CHAS data contribute to a more comprehensive market analysis by documenting issues like lead paint risks, affordability mismatch, and the interaction of affordability with variables like age of homes, number of bedrooms, and building type.

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