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Maps & Data

LISC Foreclosure Risk Scores

Updated January 2014

Resources | Importance | How to use | Additional resources | Archives
Resources
  • Intrastate foreclosure risk data, September 2013 (ZIP Code level):
    • Formatted data [.xls]
    • Tab-delimited data [.txt]
    • Methodology [pdf]
  • Intrametropolitan foreclosure risk data, September 2013 (ZIP Code level):
    • Formatted data [.xls]
    • Tab-delimited data [.txt]
    • Methodology [pdf]
  • Interactive map [link]
Why the data are important

To help states and communities make informed decisions about how to allocate and spend their resources for foreclosure prevention and neighborhood stabilization, the Local Initiatives Support Corporation (LISC) has developed datasets with foreclosure "risk scores" at the ZIP Code level within each state and also within each metropolitan area. These scores incorporate measures of subprime lending, foreclosures, delinquency, and vacancies.

State and local elected officials, government agency staff, and community leaders can use these risk scores to quickly assess relative foreclosure risk within states, localities, or metropolitan areas and allocate resources accordingly. Further, policy analysts can adapt the LISC methods to local circumstances by assigning different weights to the individual factors provided or by adding additional criteria from outside data sources.

How to use these resources

The foreclosure risk data provided here are available as Intrastate or Intrametropolitan scores. For each dataset, the highest risk ZIP Code in the state or metropolitan area is assigned a score of 100 and all other ZIP Codes are assigned a relative score. For example, a score of 20 means that the ZIP Code has 20 percent of the foreclosure risk of the highest risk ZIP Code.

  • The Intrastate ZIP Code Level Risk Scores data show the relative foreclosure risk for each ZIP Code within a state. This dataset will be useful in assessing risk and allocating assistance at either the state or the local level. The data and methodology are accessible through the links in the 'Resources' section at the top of this page.

  • The Intrametropolitan ZIP Code Level Risk Scores data show the relative foreclosure risk for each ZIP Code within a metropolitan area. The intrametropolitan data will be useful in assessing risk within metro areas, particularly if the metro area covers more than one state. The data and methodology are accessible through the links at the top of the page.

Note: LISC cannot provide the loan and foreclosure counts that the risk score is based on, as those data are proprietary. This means that it cannot be shared for detailed independent analysis. However, in an effort to provide researchers and advocates with access to as much data as possible, both the intrastate data and the intrametropolitan datasets include summary scores for each of the subprime, foreclosure, and delinquent loan components. These scores indicate relative risk of ZIP Codes on each component individually. For example, the subprime component score is only based on the number of subprime loans and percentage of all loans that are subprime. The highest risk ZIP Code in terms of subprime loans in each state receives a score of 100 and a ZIP Code with a score of 50 is estimated to have about half the risk level.

Additional resources
  • Case study of Rhode Island [pdf] using the data sources available on this page. This case study may help illustrate how the risk scores can be used by policymakers to make determinations on resource allocation or policy development.
  • Analysis of loan performance by subprime status and community poverty [pdf]. This short paper addresses the notion that the Community Reinvestment Act (CRA) was responsible for forcing lending institutions to make bad loans.