US National Case-Shiller House Price Index (SA)
US National Case-Shiller House Price Index (SA) stood at 333.24 in Jul 2026, according to FRED (Federal Reserve Bank of St. Louis). It is one of the indicators in the House prices table (Value · Monthly), with a complete series running from Jan 1987 to Jul 2026. The complete series with an interactive chart, free to download.
This indicator in the House prices table
| Indicator | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | 10-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Case-Shiller — SA | |||||||||||
| National | 333.24 | 332.29 | 331.69 | 331.45 | 331.66 | 332.17 | 331.95 | 331.19 | 330.06 | 328.84 | |
| 10-City Composite | 368.98 | 367.5 | 366.13 | 364.72 | 364.45 | 364.39 | 364.01 | 363.05 | 361.28 | 359.31 |
Understanding US National Case-Shiller House Price Index (SA)
Single-family home price movements across the United States are estimated from the resale history of the same real estate, with recurring seasonal patterns removed. The series is not a list price, average transaction price, or a measure of tenant housing costs. Compared to the unadjusted national version, the core economic content is identical, but short-term paths have been seasonally smoothed; compared to city composites, it has broader geographic coverage.
Adjusted versions are suitable for month-on-month comparisons and identifying recent directional changes, though a single fluctuation may still stem from late-arriving records or statistical noise. Year-on-year comparisons remain useful for evaluating longer-term trends. Index levels should not be converted into monetary prices, as the base period serves only a standardization role. When seasonal models are re-estimated or new transactions are added, both the most recent periods and a portion of the historical data may be adjusted.
Frequently asked questions
- Does seasonal adjustment alter the original transactions?
- No. The adjustment only estimates and removes seasonal repeating patterns from the aggregate series.
- Is this series better suited for month-over-month or year-over-year comparisons?
- Month-over-month comparisons are suited for reading recent momentum, while year-over-year checks whether that trend is more sustainable.
- Why might historical data change?
- Late transaction pairs and the re-estimation of seasonal factors can lead to revisions.