Seasonally Adjusted
This dataset tracks seasonally adjusted over time.
Latest Value
2.75
Year-over-Year Change
4.56%
Date Range
1/1/1992 - 6/1/2025
Summary
The Seasonally Adjusted series measures the adjusted value of a given economic indicator, removing seasonal fluctuations. This provides a clearer picture of underlying trends for analysts and policymakers.
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 adjustment is a statistical technique that removes predictable calendar-related variations in economic data, such as holidays or weather patterns. This allows for more accurate comparisons and analysis of economic conditions over time.
Methodology
The U.S. Census Bureau uses regression-based X-13ARIMA-SEATS software to adjust the raw data.
Historical Context
Seasonally adjusted data is essential for monitoring and interpreting macroeconomic indicators like employment, output, and inflation.
Key Facts
- Seasonal adjustment removes predictable calendar effects.
- Seasonally adjusted data improves analysis of economic conditions.
- The X-13ARIMA-SEATS method is a leading approach for seasonal adjustment.
FAQs
Q: What does this economic trend measure?
A: The Seasonally Adjusted series measures economic indicators with predictable calendar-related variations removed, providing a clearer picture of underlying trends.
Q: Why is this trend relevant for users or analysts?
A: Seasonally adjusted data is essential for monitoring and interpreting macroeconomic indicators, as it allows for more accurate comparisons and analysis over time.
Q: How is this data collected or calculated?
A: The U.S. Census Bureau uses the regression-based X-13ARIMA-SEATS software to adjust the raw data and remove seasonal effects.
Q: How is this trend used in economic policy?
A: Seasonally adjusted data is widely used by economists, policymakers, and market analysts to track and interpret key macroeconomic indicators like employment, output, and inflation.
Q: Are there update delays or limitations?
A: Seasonally adjusted data may have some update delays compared to raw data, as the adjustment process requires additional time and analysis.
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Citation
U.S. Federal Reserve, Seasonally Adjusted (IR4522USS), retrieved from FRED.