The real estate data provider ATTOM has introduced ResiScore, an AI-powered neighborhood intelligence tool designed to rank residential areas based on projected housing market performance.
ResiScore assigns each residential census tract a 1 to 100 percentile ranking within its CBSA, or metro area, based on expected home price appreciation over a 24-month horizon. According to the company, this helps users compare neighborhoods within the same market by using a standardized metric, helping prioritize areas with stronger projected performance and identify locations that may carry increased risk.
ResiScore supports a wide range of use cases, including investment targeting, lending and portfolio risk assessment, site selection, and market analysis, the company added.
“ResiScore builds on our strategy to deliver AI-powered property intelligence through our data foundation and enterprise data licensing,” said Rob Barber, CEO of ATTOM. “Our clients have always relied on us for comprehensive property data, but they have not had a consistent way to evaluate neighborhoods within a market at scale. This is a meaningful step forward in helping them identify opportunity and manage risk with greater precision.”
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