Weekly, Seasonally Adjusted
TCD • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
4,803.50
Year-over-Year Change
28.85%
Date Range
12/10/2001 - 2/1/2021
Summary
The 'Weekly, Seasonally Adjusted' trend provides a standardized view of economic data that accounts for predictable annual fluctuations. This adjustment allows for more accurate comparisons across different time periods by removing 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
Seasonally adjusted data helps economists and analysts understand underlying economic trends by neutralizing predictable seasonal patterns like holiday spending or agricultural cycles. The adjustment enables more meaningful analysis of economic indicators by revealing the true underlying economic movement.
Methodology
Data is collected through statistical techniques that estimate and remove seasonal variations using complex mathematical models and historical seasonal patterns.
Historical Context
Seasonally adjusted data is crucial for policymakers, central banks, and financial analysts in making informed decisions about economic interventions and forecasting.
Key Facts
- Seasonal adjustments help isolate underlying economic trends
- Removes predictable cyclical variations from economic data
- Critical for accurate economic comparisons across different time periods
FAQs
Q: Why are seasonal adjustments important?
A: Seasonal adjustments reveal true economic trends by removing predictable annual fluctuations. This helps analysts understand the real economic performance without seasonal noise.
Q: How do seasonal adjustments work?
A: Statistical models estimate seasonal patterns based on historical data and mathematically remove these predictable variations. This process reveals the underlying economic trend.
Q: What types of economic data use seasonal adjustments?
A: Many economic indicators like employment rates, retail sales, and industrial production use seasonal adjustments. This ensures more accurate and meaningful economic analysis.
Q: Can seasonal adjustments be applied to any dataset?
A: Not all datasets are suitable for seasonal adjustment. The data must have consistent, predictable seasonal patterns to benefit from this statistical technique.
Q: How often are seasonal adjustment methods updated?
A: Seasonal adjustment methodologies are periodically reviewed and updated to reflect changing economic structures and patterns. This ensures continued accuracy of economic analysis.
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Citation
U.S. Federal Reserve, Weekly, Seasonally Adjusted [TCD], retrieved from FRED.
Last Checked: 8/1/2025