Not Seasonally Adjusted
SVSTNS • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
11,565.00
Year-over-Year Change
10.97%
Date Range
1/1/1959 - 1/1/2021
Summary
Not Seasonally Adjusted (NSA) data represents raw economic measurements without statistical modifications to account for predictable seasonal variations. This approach provides a direct view of actual economic activity before standard smoothing techniques are applied.
Analysis & Context
This economic indicator provides valuable insights into current market conditions and economic trends. The data is updated regularly by the Federal Reserve and represents one of the most reliable sources for economic analysis.
Understanding this metric helps economists, policymakers, and investors make informed decisions about economic conditions and future trends. The interactive chart above allows you to explore historical patterns and identify key trends over time.
About This Dataset
Economists use Not Seasonally Adjusted data to understand raw economic performance and identify underlying trends without removing cyclical fluctuations. The unmodified data helps researchers analyze genuine economic changes and seasonal impacts on various indicators.
Methodology
Data is collected through direct measurement of economic indicators without applying seasonal adjustment algorithms or statistical smoothing techniques.
Historical Context
NSA data is critical for policymakers and analysts who need to understand precise economic performance across different seasonal periods.
Key Facts
- NSA data shows economic activity without statistical modifications
- Useful for understanding direct economic performance
- Helps identify genuine seasonal economic impacts
FAQs
Q: What does 'Not Seasonally Adjusted' mean?
A: Not Seasonally Adjusted means economic data is reported in its original form without removing predictable seasonal variations like holiday spending or weather-related changes.
Q: Why is NSA data important?
A: NSA data provides a raw, unmodified view of economic activity, allowing researchers to see actual performance before statistical smoothing.
Q: How is NSA different from Seasonally Adjusted data?
A: NSA data shows raw numbers without removing predictable seasonal patterns, while Seasonally Adjusted data eliminates these cyclical variations to reveal underlying trends.
Q: When should NSA data be used?
A: NSA data is most useful when analyzing short-term economic changes, understanding seasonal impacts, and comparing performance across specific time periods.
Q: How often is NSA data updated?
A: NSA data is typically updated monthly or quarterly, depending on the specific economic indicator being measured.
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Citation
U.S. Federal Reserve, Not Seasonally Adjusted [SVSTNS], retrieved from FRED.
Last Checked: 8/1/2025