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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.


 
  • Gentrification
  • Volume 18, Number 3
  • Managing Editor: Mark D. Shroder
  • Associate Editor: Michelle P. Matuga
 

Chicago Multifamily Market Characterization: Developing a Comprehensive Picture of the Multifamily Housing Landscape

Rachel Scheu
Margaret Garascia
Elevate Energy



Data Shop

Data Shop, a department of Cityscape, presents short articles or notes on the uses of data in housing and urban research. Through this department, the Office of Policy Development and Research introduces readers to new and overlooked data sources and to improved techniques in using well-known data. The emphasis is on sources and methods that analysts can use in their own work. Researchers often run into knotty data problems involving data interpretation or manipulation that must be solved before a project can proceed, but they seldom get to focus in detail on the solutions to such problems. If you have an idea for an applied, data-centric note of no more than 3,000 words, please send a one-paragraph abstract to david.a.vandenbroucke@hud.gov for consideration.


A data-driven description of a community’s housing stock can help identify community needs and inform decisionmaking regarding energy efficiency and other types of programs. This article presents the data and methods used in an analysis characterizing the multifamily building stock in Chicago, which segmented Chicago’s multifamily buildings by age, size, construction type, and energy use. Conducting this analysis presented several thorny data challenges: building-level data are not collected in any central location; in Chicago and many other cities, the local property assessor has the most complete data of this kind, but the data are compiled for the purpose of tax assessment and not for the purpose of population-level building segmentation; and many disparate data sets must be combined with assessor data into a cohesive whole, presenting difficulty in matching, cleaning, and determining the appropriate level of granularity. This article describes a multifamily market characterization study in Chicago for which different data sources were merged for the analysis; presents a general methodology that could be used by other cities or program implementers; and discusses insights about the Chicago multifamily market. Identifying and locating geographic concentrations of certain building types enable more precise targeting for energy, housing, and other building programs.


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Note: Guidance documents, except when based on statutory or regulatory authority or law, do not have the force and effect of law and are not meant to bind the public in any way. Guidance documents are intended only to provide clarity to the public regarding existing requirements under the law or agency policies.