housing price index prediction project data

Five U.S. metropolitan areas—Boston, Dallas, New York, Chicago, and San Francisco—are covered by this dataset. It combines the S&P/Case-Shiller home price index with 12 demographic and macroeconomic factors. The data was collected by Sophia Zhou from sources including the Federal Reserve Bank, FBI, and Freddie Mac.

Use Cases

• Predict housing price index trends based on macroeconomic factors mentioned in the description
• Analyze correlations between home prices and demographic variables across different metropolitan areas
• Build time-series forecasting models using the S&P/Case-Shiller index data
• Compare real estate market dynamics between major U.S. cities like Boston, Dallas, and San Francisco

Strengths

• Integrates data from multiple authoritative sources including the Federal Reserve Bank and FBI
• Covers five major U.S. metropolitan areas for comparative analysis
• Includes 12 distinct demographic and macroeconomic factors alongside the primary price index

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Federal Reserve Bank, FBI, Freddie Mac

Collection Method

Aggregated from public data sources

Geography

Boston, Dallas, New York, Chicago, San Francisco metropolitan areas