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US 10-City Case-Shiller House Price Index (NSA)

US 10-City Case-Shiller House Price Index (NSA) stood at 373.86 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.

Source: FRED (Federal Reserve Bank of St. Louis)Last updated: Curated by Bui Thanh Phuc
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This indicator in the House prices table

Indicator07-202606-202605-202604-202603-202602-202601-202612-202511-202510-2025
Case-Shiller — NSA
10-City Composite373.86373.75371.85368.07364.31359.98357.81357.75357.74357.22
20-City Composite350.36350.39348.89345.63342.14338.48336.9337.19337.47337.41

Understanding US 10-City Case-Shiller House Price Index (NSA)

This collection measures the trajectory of single-family home prices across a group of ten large metropolitan areas, based on real estate sold at least twice. Tracking the same houses reduces bias caused by selling more high-end homes in one month and more affordable homes in another. Unlike the national index, this series represents only the selected group of cities; compared to the twenty-city group, its scope is narrower and potentially more sensitive to developments in individual long-standing markets.

Because the data is not seasonally adjusted, month-on-month changes should be interpreted with caution, particularly around winter, holidays, and periods of heightened buying activity. Comparing with the same month of the previous year typically provides a clearer baseline signal. This is a relative index that does not indicate the price of a typical home and does not fully reflect newly built houses or condominiums. The most recent periods are subject to revision as transaction records are finalized.

Frequently asked questions

Do the ten-city composite groups represent the entire United States?
Not entirely. The series covers selected metropolitan areas and can differ significantly from smaller suburban markets or rural regions.
Why does the index use repeat sales?
Comparing the same real estate helps isolate changes caused by shifts in the composition of homes sold across periods.
Should monthly changes be used to determine trends?
Single periods should not be relied upon alone because the series remains seasonal and housing transactions are often recorded with a lag.