Monthly, Not Seasonally Adjusted
STDTNS • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
48.80
Year-over-Year Change
-57.93%
Date Range
1/1/1959 - 1/1/2021
Summary
The Monthly, Not Seasonally Adjusted data series provides raw economic measurements without statistical smoothing or normalization. This unmodified data allows economists to observe actual monthly fluctuations and raw economic performance without accounting for predictable seasonal variations.
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
Not seasonally adjusted data represents the actual recorded values for a specific economic indicator without applying statistical techniques to remove predictable seasonal patterns. Economists and analysts use this raw data to understand precise month-to-month changes and underlying economic dynamics.
Methodology
Data is collected through direct measurement and reporting from government agencies, financial institutions, and economic survey instruments without applying seasonal adjustment algorithms.
Historical Context
This data series is critical for detailed economic analysis, providing granular insights into economic trends before standard statistical smoothing techniques are applied.
Key Facts
- Represents unmodified economic data without seasonal adjustments
- Provides direct observation of monthly economic fluctuations
- Essential for understanding granular economic performance
FAQs
Q: What does 'not seasonally adjusted' mean?
A: Not seasonally adjusted means the data reflects actual recorded values without statistical techniques to remove predictable seasonal variations like holiday spending or weather-related economic changes.
Q: Why is non-seasonally adjusted data important?
A: Raw data provides precise month-to-month insights and allows economists to observe actual economic performance before statistical smoothing is applied.
Q: How is this different from seasonally adjusted data?
A: Seasonally adjusted data removes predictable cyclical variations, while non-seasonally adjusted data shows the raw, unadjusted economic measurements.
Q: Who typically uses non-seasonally adjusted data?
A: Economists, financial analysts, researchers, and policymakers use this data for detailed economic analysis and understanding precise economic trends.
Q: How frequently is this data updated?
A: Monthly data series are typically updated on a monthly basis, providing current economic performance snapshots.
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Related Trends
Citation
U.S. Federal Reserve, Monthly, Not Seasonally Adjusted [STDTNS], retrieved from FRED.
Last Checked: 8/1/2025