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  • 标题:Combining Data on Residential Vacancy Rates and Mortgage Foreclosures Provides a Picture of Neighborhood Change
  • 本地全文:下载
  • 作者:Robert N. Renner Jamie W. Wolf
  • 期刊名称:Cityscape (Washington, D.C.)
  • 印刷版ISSN:1936-007X
  • 电子版ISSN:1939-1935
  • 出版年度:2010
  • 卷号:12
  • 期号:1
  • 出版社:U.S. Department of Housing and Urban Development
  • 摘要:

    The U.S. Department of Housing and Urban Development's (HUD's) Office of Policy Development and Research recently acquired a product from Lender Processing Services Applied Analytics, which contains proprietary individual-loan–level data covering approximately 75 percent of the entire mortgage loan market. This product is a robust data source of 40 million mortgage loans with ZIP Code geographic detail. It includes more than 70 loan attributes, credit scores, and foreclosure status. The ability to identify and track loans in foreclosure and calculate foreclosure rates at various geographic levels can lead to powerful knowledge for all parties involved in community development and housing policy. To illustrate the geographic concentration and extent of social and economic distress resulting from the current housing crisis in the map of the Las Vegas, Nevada metropolitan area in exhibit 1, we connect this mortgage data with U.S. Postal Service (USPS) data on vacant addresses.

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