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Home Price Index (HPI™)

The most inclusive and recent property price datasets

Overview

Leveraging decades of data to assess market trends and identify risk

Cotality HPI and Cotality Case-Shiller™ uses over 50 years of repeat sales data from leading real estate and mortgage databases to analyze home price trends. It offers the most comprehensive and up-to-date home price indices–and is trusted by the government and leading financial institutions. Clients can spot markets at risk of instability or downturns using Cotality HPI with the HPI Forecast. Each module provides distinct insights, and together with statistical models, delivers a thorough assessment of market health.

Across government, financial services, and real estate, HPI supports economic impact analysis and market monitoring, validates individual property values against local trends, and informs pricing strategy. Organizations also use HPI patterns to forecast housing demand and guide investment or development decisions, while lenders and regulators rely on the data for portfolio risk assessment and regulatory reporting.

Features
Product specifications

Key product attributes

  • Nationwide coverage
  • Data history from 1976 to present
  • Sample fields
    • Home Price Index
    • Up to 12 different tiers
    • Long-term fundamental value
    • Market condition indicators
    • Repeat sales median
  • AI-ready data (delivered with semantic companion files)

Pricing varies based on geography.

Pricing
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FAQ

What are the primary use cases for HPI?

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What is included in this dataset?

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What delivery methods are available for this dataset?

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How frequently is the HPI dataset updated?

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Does Cotality offer different measures of home price changes?

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