Other Securities, Small Domestically Chartered Commercial Banks
Monthly, Seasonally Adjusted
OSESCBM027SBOG • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
365.97
Year-over-Year Change
-1.66%
Date Range
4/1/1985 - 6/1/2025
Summary
This economic indicator tracks monthly seasonally adjusted data points that provide insights into economic fluctuations. The series helps economists and policymakers understand underlying economic trends by smoothing out predictable 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
The seasonally adjusted monthly series represents a normalized economic measurement that removes predictable calendar-based patterns from raw data. Economists use this approach to reveal more accurate, underlying economic trends by eliminating seasonal distortions.
Methodology
Data is collected through standardized statistical techniques that identify and remove seasonal variations, allowing for more precise trend analysis.
Historical Context
This type of data is crucial for making informed policy decisions, analyzing economic performance, and developing strategic economic forecasts.
Key Facts
- Seasonally adjusted data removes predictable calendar-based fluctuations
- Provides more accurate representation of underlying economic trends
- Essential for comparative economic analysis across different time periods
FAQs
Q: What does seasonally adjusted mean?
A: Seasonally adjusted data removes predictable annual variations to reveal the true underlying economic trend. This helps analysts understand economic changes not caused by typical seasonal patterns.
Q: Why is monthly seasonally adjusted data important?
A: Monthly seasonally adjusted data provides a clearer picture of economic performance by eliminating recurring seasonal influences. This allows for more accurate comparisons and trend analysis.
Q: How is seasonal adjustment calculated?
A: Seasonal adjustment uses statistical methods to identify and remove regular seasonal patterns from economic data. Complex mathematical models are employed to normalize the data.
Q: Who uses this type of economic data?
A: Economists, policymakers, financial analysts, and researchers use seasonally adjusted data to make informed decisions about economic policy, investment strategies, and trend forecasting.
Q: What are the limitations of seasonally adjusted data?
A: While valuable, seasonally adjusted data can sometimes over-smooth unique economic events and may not capture sudden, unexpected economic shifts. Regular updates and multiple data sources are recommended.
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Related Trends
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Citation
U.S. Federal Reserve, Monthly, Seasonally Adjusted [OSESCBM027SBOG], retrieved from FRED.
Last Checked: 8/1/2025