Weekly, Seasonally Adjusted
WOCDCS • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
371.80
Year-over-Year Change
-0.54%
Date Range
12/10/2001 - 4/27/2020
Summary
The Weekly, Seasonally Adjusted series provides a standardized view of economic data that accounts for predictable seasonal variations. This approach allows economists to analyze underlying trends more accurately by removing cyclical fluctuations.
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 smooth out periodic patterns in economic indicators, enabling more precise comparative analysis. Economists use seasonally adjusted data to understand the true underlying economic momentum beyond predictable calendar-related changes.
Methodology
Data is processed using statistical techniques that mathematically remove expected seasonal variations, typically involving complex time series decomposition methods.
Historical Context
Seasonally adjusted data is critical for policymakers, central banks, and financial analysts in making informed decisions about economic trends and potential interventions.
Key Facts
- Seasonally adjusted data removes predictable calendar-related fluctuations
- Enables more accurate comparison of economic indicators across different time periods
- Used extensively in macroeconomic research and policy development
FAQs
Q: Why is seasonal adjustment important?
A: Seasonal adjustment helps reveal underlying economic trends by removing predictable cyclical variations like holiday spending or weather-related economic changes.
Q: How does seasonal adjustment work?
A: Statistical models estimate and remove expected seasonal patterns, leaving a 'normalized' data series that reflects true economic movement.
Q: What types of economic data use seasonal adjustment?
A: Employment figures, retail sales, industrial production, and many other economic indicators commonly use seasonal adjustment techniques.
Q: Who uses seasonally adjusted data?
A: Policymakers, central banks, economists, financial analysts, and researchers rely on seasonally adjusted data for accurate economic analysis.
Q: What are the limitations of seasonal adjustment?
A: While useful, seasonal adjustment can sometimes over-smooth data and might not perfectly capture complex economic dynamics.
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Citation
U.S. Federal Reserve, Weekly, Seasonally Adjusted [WOCDCS], retrieved from FRED.
Last Checked: 8/1/2025