Weekly, Seasonally Adjusted
H0MEUWM • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
426.80
Year-over-Year Change
0.35%
Date Range
1/19/1987 - 3/13/2006
Summary
The Weekly, Seasonally Adjusted series represents a critical economic indicator tracked by the U.S. Federal Reserve. This metric provides insights into economic fluctuations by smoothing out predictable seasonal variations in economic data.
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 trend is a standardized economic measurement that allows economists to compare data across different time periods by removing predictable seasonal patterns. Seasonally adjusted data helps reveal underlying economic trends more accurately by eliminating cyclical fluctuations.
Methodology
Data is collected through systematic statistical techniques that remove predictable seasonal variations, typically using complex mathematical models and historical comparative analysis.
Historical Context
Policymakers and economists use seasonally adjusted data to make more informed decisions about monetary policy, economic forecasting, and understanding underlying economic dynamics.
Key Facts
- Seasonally adjusted data removes predictable cyclical variations
- Provides more accurate representation of underlying economic trends
- Used extensively in economic policy and research
FAQs
Q: What does seasonally adjusted mean?
A: Seasonally adjusted data removes predictable annual patterns to reveal the true underlying economic trend. This helps economists understand real economic changes without seasonal noise.
Q: Why is seasonal adjustment important?
A: Seasonal adjustment allows for more accurate comparisons across different time periods by eliminating predictable fluctuations like holiday spending or weather-related economic changes.
Q: How is seasonal adjustment calculated?
A: Seasonal adjustment uses complex statistical models that analyze historical data patterns to identify and remove predictable seasonal variations from economic indicators.
Q: Who uses seasonally adjusted data?
A: Economists, policymakers, researchers, and financial analysts use seasonally adjusted data to make more informed decisions about economic trends and policy.
Q: How often is this data updated?
A: Weekly seasonally adjusted data is typically updated on a regular schedule, allowing for near-real-time tracking of economic indicators.
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Citation
U.S. Federal Reserve, Weekly, Seasonally Adjusted [H0MEUWM], retrieved from FRED.
Last Checked: 8/1/2025