Charge-Off Rate on Farmland Loans, Booked in Domestic Offices, Banks Ranked 1st to 100th Largest in Size by Assets
Seasonally Adjusted
CORFLT100S • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.04
Year-over-Year Change
-42.86%
Date Range
1/1/1991 - 1/1/2025
Summary
Seasonally Adjusted data removes predictable seasonal variations from economic time series to reveal underlying trends more clearly. This statistical technique allows economists and policymakers to make more accurate comparisons across different periods by neutralizing recurring seasonal patterns.
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
Seasonal adjustments account for predictable fluctuations caused by weather, holidays, and annual cycles that can distort raw economic data. Economists use this method to understand the true underlying economic performance without the noise of seasonal variations.
Methodology
Statistical agencies like the Bureau of Labor Statistics use complex mathematical models, typically X-12-ARIMA or TRAMO/SEATS, to calculate seasonal adjustments by identifying and removing recurring patterns.
Historical Context
Seasonally adjusted data is critical for analyzing economic indicators like employment, retail sales, and industrial production to provide a more accurate picture of economic trends.
Key Facts
- Seasonal adjustments help isolate underlying economic trends
- Different industries have unique seasonal patterns
- Adjustments enable more meaningful period-to-period comparisons
FAQs
Q: Why are seasonal adjustments important?
A: Seasonal adjustments remove predictable variations that can mask true economic performance. This helps economists and policymakers understand underlying economic trends more accurately.
Q: How often are seasonal adjustments updated?
A: Seasonal adjustment models are typically reviewed and updated annually to reflect changing economic patterns and ensure continued accuracy.
Q: What types of data are commonly seasonally adjusted?
A: Employment figures, retail sales, industrial production, and GDP are frequently seasonally adjusted to provide more meaningful economic insights.
Q: Can seasonal adjustments be applied to any economic data?
A: While most time series can be seasonally adjusted, the effectiveness depends on the presence of clear, recurring seasonal patterns in the data.
Q: What are the limitations of seasonal adjustments?
A: Seasonal adjustment models can sometimes over-smooth data or fail to capture complex, changing seasonal patterns, potentially introducing their own statistical artifacts.
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Citation
U.S. Federal Reserve, Seasonally Adjusted [CORFLT100S], retrieved from FRED.
Last Checked: 8/1/2025