ATTOM, one of the leading providers of property data, AI-powered intelligence, and real estate analytics solutions, announces the launch of ResiScore, an AI-powered neighbourhood intelligence offering that ranks residential areas based on projected housing market performance.
Built on technology acquired through ATTOM’s acquisition of ResiShares in January 2026, ResiScore introduces a new layer of forward-looking analytics designed to address a longstanding gap in real estate decision-making.
While many organisations have clarity on which markets to operate in, determining which neighbourhoods within those markets that most likely to outperform has remained difficult to measure at scale.
ResiScore addresses this challenge by assigning 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.
This approach enables users to compare neighbourhoods within the same market using a standardised metric, helping prioritise areas with stronger projected performance and identify locations that may carry increased risk.
“ResiScore builds on our strategy to deliver AI-powered property intelligence through our data foundation and enterprise data licensing.
“Our clients have always relied on us for comprehensive property data, but they have not had a consistent way to evaluate neighbourhoods within a market at scale. This is a meaningful step forward in helping them identify opportunity and manage risk with greater precision.”
Rob Barber, CEO, ATTOM
ResiScore is part of the comapny’s market and location analytics category within its AI-powered intelligence suite, designed to help organisations analyse housing trends, identify emerging opportunities, and make more informed decisions at the neighbourhood level.
“ResiScore answers a deceptively difficult question – where within a market to focus. The gap between the strongest and weakest neighbourhoods within a single market is often larger than the gap between markets themselves.
“By ranking neighbourhoods within a market by expected appreciation, ResiScore helps clients identify where upside is emerging, and where downside is building.”
Aaron Wagner, Head of Data Science, ATTOM
The platform is powered by models trained on decades of residential property data, combining signals such as long-term price trends, recent appreciation, price acceleration, forecasted growth and volatility into a single composite score.
The result is a forward-looking ranking that balances responsiveness with stability and helps users evaluate relative performance across neighbourhoods without overreacting to short-term market shifts.
Key capabilities of ResiScore include neighbourhood ranking across all census tracts within a CBSA or metro area, a forward-looking insight based on a 24-month forecast horizon. It also shows hyperlocal analysis beyond county and metro-level metrics and provides risk and opportunity identification through relative performance signals.
ResiScore supports a wide range of use cases, including investment targeting, lending and portfolio risk assessment, site selection and market analysis.
It also compliments ATTOM’s broader AI-powered intelligence and analytics suite, including automated valuation models, providing a more complete view of property value and neighbourhood performance.
