We’re expanding ATTOM’s Valuation Analytics with HPI to deliver a more holistic view of residential values and market performance, complementing existing tools like ATTOM AVM.

The index is built to fuel predictive analytics, AI-powered applications, and data-driven decision making across real estate, mortgage, financial services, insurance, and technology sectors.

A white paper on HPI is available for download to explore the methodology and its applications.

ATTOM offers multiple delivery options for HPI, including APIs, bulk data licensing, cloud delivery, and MCP Server for AI-powered, agentic data access.

HPI provides hyperlocal price trends and forecasts across the United States, from national levels down to census blocks, with monthly updates and over 30 years of historical data plus up to 36 months of forecasts.

The release outlines ATTOM’s data scope: about 160 million properties, 99% of the population, and coverage across taxes, deeds, mortgages, foreclosures, risk, conditions, hazards, neighborhood insights, and geospatial boundaries.

Unlike median metrics, HPI models millions of validated transactions to produce a continuous monthly price index with distinct indices for single-family homes, condos, townhomes, and an all-residential composite.

ATTOM’s CEO and Head of Data Science emphasize that HPI captures true market movements and leverages the company’s broad property data to enhance forecasting.

The launch introduces the ATTOM Home Price Index (HPI) as an AI-powered valuation analytics solution within the ATTOM Intelligence platform under Valuation Analytics.