Charge-Off Rate on Loans Secured by Real Estate, Banks Not Among the 100 Largest in Size by Assets
Seasonally Adjusted
CORSREOBS • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.05
Year-over-Year Change
400.00%
Date Range
1/1/1985 - 1/1/2025
Summary
Seasonally Adjusted data removes predictable seasonal variations from economic time series to reveal underlying trends. This statistical technique allows economists and policymakers to compare data across different periods more accurately.
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
The CORSREOBS series represents a standardized method of economic data normalization that eliminates cyclical fluctuations caused by seasonal patterns like weather, holidays, and annual business cycles. Economists use this adjustment to understand the true economic trajectory without temporary distortions.
Methodology
Statistical agencies like the Bureau of Labor Statistics use complex mathematical models to identify and remove recurring seasonal patterns from raw economic data.
Historical Context
Seasonally adjusted data is critical for making informed policy decisions, analyzing economic performance, and providing accurate economic forecasts.
Key Facts
- Seasonal adjustments help reveal underlying economic trends
- Removes predictable cyclical variations from economic data
- Used across multiple economic indicators and industries
FAQs
Q: Why is seasonal adjustment important?
A: Seasonal adjustment allows for more accurate comparison of economic data by removing predictable fluctuations. It helps economists and analysts understand true economic performance.
Q: What types of economic data use seasonal adjustment?
A: Employment rates, retail sales, industrial production, and GDP are common economic indicators that utilize seasonal adjustment techniques.
Q: How do seasonal adjustments work mathematically?
A: Seasonal adjustments use statistical models to identify and remove recurring patterns, typically involving complex time series decomposition methods.
Q: Can seasonal adjustment be applied to any dataset?
A: Not all datasets are suitable for seasonal adjustment. The data must have clear, recurring seasonal patterns to benefit from this statistical technique.
Q: How often are seasonal adjustment calculations updated?
A: Seasonal adjustment models are typically reviewed and updated annually to account for changing economic structures and emerging patterns.
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Citation
U.S. Federal Reserve, Seasonally Adjusted [CORSREOBS], retrieved from FRED.
Last Checked: 8/1/2025