ForeScores: Credit Scores for Locations

Borrower risk is only half the picture. UFA's ForeScores measure the other half - quantifying default, prepayment, and loan-value risk at the ZIP code level, so you can price every loan for where it lives. 

In UFA's analysis of 34 million loans, ForeScore ranks alongside credit score and LTV as a top-three predictor of loan performance.

Why Location Belongs in Your Credit Model

Catch risk your bureau data can't see.  

Two borrowers with identical credit profiles carry different risk in different ZIP codes. ForeScores capture local employment, housing, and demographic conditions before they show up as delinquencies.

Price loans where they live. 

Location-driven differences in profitability can reach 20% of loan value on a given date. Our cash-flow forecasts let you reflect that in pricing instead of averaging it away. 

Manage concentration before it becomes loss. 

ZIP-level scoring reveals geographic exposure across your portfolio, so you can tighten, diversify, or hedge ahead of regional downturns - not after.

People you can work with.

We hold ourselves to rigorous standards of evidence, safeguard the trust inherent in every client relationship, and aim to elevate public understanding of how regional and national economies actually function.

Trusted by lenders, investors, and agencies

For three decades, government agencies have relied on UFA's research

  • Resolution Trust Corp.
    Washington, DC
  • Dept. of Housing and Urban Development
    Washington, DC
  • Canada Mortgage and Housing Corp.
    Ottawa, Ontario
  • Toronto Stock Exchange
    Toronto, Ontario