Biweekly, Seasonally Adjusted
DSADJRES • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
72.00
Year-over-Year Change
0.61%
Date Range
3/14/1984 - 6/25/2003
Summary
The Biweekly, Seasonally Adjusted series represents a periodic economic indicator that helps analysts understand cyclical economic patterns by smoothing out predictable seasonal variations. This data provides insights into underlying economic trends by removing regular seasonal fluctuations that can obscure true economic performance.
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 economic series allows researchers to analyze data without the distorting effects of seasonal changes like holidays, weather patterns, or annual business cycles. Economists use seasonally adjusted data to make more accurate comparisons and identify genuine economic shifts.
Methodology
The data is calculated by using statistical techniques to remove predictable seasonal patterns from raw economic measurements, typically through complex mathematical modeling and historical trend analysis.
Historical Context
Policymakers and financial analysts rely on seasonally adjusted data to make more informed decisions about economic interventions, monetary policy, and strategic planning.
Key Facts
- Seasonally adjusted data removes predictable cyclical variations
- Enables more accurate comparison of economic indicators
- Critical for understanding underlying economic trends
FAQs
Q: Why is seasonal adjustment important?
A: Seasonal adjustment helps reveal true economic trends by removing predictable fluctuations that can mislead analysis. It allows for more accurate comparisons across different time periods.
Q: How often is this data updated?
A: Typically, seasonally adjusted data is updated on a regular schedule, often monthly or quarterly, depending on the specific economic indicator being analyzed.
Q: Can seasonally adjusted data change historical interpretations?
A: Yes, seasonal adjustments can significantly alter the interpretation of economic data by highlighting underlying trends that might be obscured by regular seasonal patterns.
Q: Who uses seasonally adjusted economic data?
A: Economists, policymakers, financial analysts, researchers, and government agencies rely on seasonally adjusted data for accurate economic analysis and decision-making.
Q: What are the limitations of seasonal adjustment?
A: Seasonal adjustment techniques can sometimes over-smooth data or miss emerging trends, and they rely on complex statistical models that may have inherent statistical uncertainties.
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Citation
U.S. Federal Reserve, Biweekly, Seasonally Adjusted [DSADJRES], retrieved from FRED.
Last Checked: 8/1/2025