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Alternative data in real estate refers to non-traditional datasets that provide a predictive or differentiated edge beyond standard property records. This is the fastest-growing segment of the US real estate data market, driven by proptech innovation. It includes foot traffic analytics derived from mobile device data, satellite and aerial imagery for monitoring construction activity, climate and environmental risk models, ESG compliance data, and AI-powered predictive analytics platforms. These data types are increasingly being integrated into mainstream investment and lending workflows.
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First Street Foundation
Property-level flood, wildfire, wind, heat, and air quality risk scores for 142M US properties.
Placer.ai
Mobile-derived foot traffic analytics for commercial locations and trade area analysis.
Shovels.ai
US building permit data with contractor profiles and construction activity tracking.
Freddie Mac and Fannie Mae have both signaled increasing use of climate risk data in loan purchasing guidelines. First Street and ClimateCheck data are increasingly embedded in lender and servicer workflows.
Building permit data from Shovels.ai provides 3–12 months of advance visibility into construction activity, contractor demand, and neighborhood investment trends before projects show up in MLS or CoStar.