Monthly, Seasonally Adjusted
IMFSL • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
2,853.60
Year-over-Year Change
24.50%
Date Range
1/1/1974 - 1/1/2021
Summary
The Monthly, Seasonally Adjusted series provides a standardized view of economic data that accounts for predictable seasonal variations. This approach allows for more accurate comparisons and trend analysis across different time periods.
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
This data series represents a statistical technique used to remove predictable seasonal fluctuations from economic indicators, enabling economists to observe underlying economic trends more clearly. Seasonal adjustment helps isolate the true economic signal from recurring calendar-related patterns.
Methodology
Data is processed using statistical techniques that identify and remove seasonal patterns, typically involving complex mathematical models that analyze historical cyclical variations.
Historical Context
Seasonally adjusted data is crucial for policymakers, analysts, and researchers who need precise, normalized economic insights for decision-making.
Key Facts
- Removes predictable seasonal variations from economic data
- Enables more accurate trend analysis
- Used across multiple economic indicators and sectors
FAQs
Q: Why is seasonal adjustment important?
A: Seasonal adjustment helps reveal underlying economic trends by removing predictable fluctuations caused by seasonal factors like weather, holidays, and annual business cycles.
Q: How does seasonal adjustment work?
A: It uses statistical models to identify and remove recurring seasonal patterns, allowing for more accurate comparisons across different time periods.
Q: What types of data are typically seasonally adjusted?
A: Common seasonally adjusted data include employment figures, retail sales, industrial production, and economic growth indicators.
Q: Who uses seasonally adjusted data?
A: Economists, policymakers, researchers, and financial analysts rely on seasonally adjusted data for more accurate economic analysis and decision-making.
Q: How often is seasonal adjustment performed?
A: Seasonal adjustment is typically performed monthly or quarterly, depending on the specific economic indicator and data source.
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Related Trends
Citation
U.S. Federal Reserve, Monthly, Seasonally Adjusted [IMFSL], retrieved from FRED.
Last Checked: 8/1/2025