Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks

Seasonally Adjusted

DRFAPGACBS • Economic Data from Federal Reserve Economic Data (FRED)

Latest Value

1.18

Year-over-Year Change

4.42%

Date Range

1/1/1987 - 1/1/2025

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Summary

The seasonally adjusted data series represents economic indicators that have been modified to remove predictable seasonal variations, providing a clearer view of underlying economic trends. This adjustment allows economists and policymakers to compare data across different times of the year without the distortion of seasonal fluctuations.

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 analysts understand the true economic trajectory by removing recurring patterns like holiday spending, agricultural cycles, or weather-related economic activities. Economists use these adjusted figures to make more accurate assessments of economic performance and potential future trends.

Methodology

Statistical agencies use complex mathematical techniques like the X-12-ARIMA method to identify and remove seasonal patterns from raw economic data.

Historical Context

Seasonally adjusted data is crucial for making informed policy decisions, analyzing economic health, and providing investors with more meaningful economic insights.

Key Facts

Seasonal adjustments help eliminate predictable cyclical variations in economic data
The process allows for more accurate comparisons across different time periods
Multiple statistical methods can be used to create seasonally adjusted data

FAQs

Q: Why are economic data seasonally adjusted?

A: Seasonal adjustments remove predictable annual variations to reveal underlying economic trends more clearly. This helps analysts understand the true economic performance without seasonal distortions.

Q: How often are seasonal adjustments made?

A: Seasonal adjustments are typically performed quarterly or annually, depending on the specific economic indicator and data source. The frequency ensures the most current and accurate economic insights.

Q: What types of seasonal variations are typically removed?

A: Common seasonal variations include holiday spending, agricultural harvest cycles, tourism patterns, and weather-related economic activities that consistently impact economic indicators.

Q: Are seasonally adjusted data more accurate?

A: Seasonally adjusted data provide a more normalized view of economic trends, making them more useful for comparative analysis and long-term economic planning.

Q: What are the limitations of seasonal adjustments?

A: Seasonal adjustment methods can sometimes over-smooth data or miss unique economic events. Analysts always recommend using both raw and adjusted data for comprehensive analysis.

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