Home Price Index (HPI™) Forecast
The most current and comprehensive Home Price Indexes
Independent monthly forecasts from national to ZIP code, extending up to 30 years
Cotality HPI Forecasts and Cotality Case-Schiller HPI Forecasts offer an independent, objective view of where home prices are headed. By balancing robust data inputs, analytics expertise, and proven tools, we deliver trustworthy monthly projections of home-price movement across the U.S., at the national, state, county, CBSA, and ZIP code levels, for horizons of up to 30 years. Forecast indexes are built from the same current, comprehensive datasets as Cotality HPI, providing broad, deep coverage powered by industry-standard real estate databases.
Use the forecast for market and pricing analysis, demand planning, and long-term asset valuation across geographies down to ZIP code. It also supports mortgage and home-equity risk assessment and quantitative research, helping teams' model how economic and market factors may influence future home prices.


Key product attributes
- Nationwide coverage
- 30-year forecast horizon
- Sample fields
- Home Price Index Forecast
- Home Price Index Forecast log standard error
- Long-term fundamental value
- Market condition indicator
Pricing varies based on geography.
FAQ
What are the primary use cases for HPI Forecasts™?
HPI Forecasts support market and pricing analysis by providing a forward-looking view of home-price trends across geographies down to ZIP code. They can also be used for demand planning, long-term asset valuation, mortgage and home-equity risk assessment, and quantitative research on how economic and market factors may influence future home prices.
What is included in these datasets?
These datasets provide nationwide coverage to present and a 30-year forecast horizon. Sample fields include Home Price Index Forecast, Home Price Index Forecast standard error, long-term fundamental value, and market indicators.
What delivery methods are available for this dataset?
This data is available via the REAS web platform, SFTP flat file, or delivery to major cloud platforms like AWS, Azure, Databricks, Google Cloud, and Snowflake.
Do you provide validation reporting to measure forecast accuracy against actual HPI performance?
Yes, we publish validation reports annually that compare forecasted values to actual HPI performance to measure forecast accuracy.
How does HPI Forecasts support compliance?
HPI Forecasts support compliance and internal risk frameworks by providing stable price trends and scenario-based views, complemented by Case-Shiller as a widely recognized repeat-sales benchmark. Stress-test scenarios, including those aligned with Federal Reserve requirements, are available to support regulatory reporting.
How can we help you?
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