Seasonally Adjusted
This dataset tracks seasonally adjusted over time.
Latest Value
73872.00
Year-over-Year Change
3.08%
Date Range
1/1/1992 - 6/1/2025
Summary
The Seasonally Adjusted trend measures the monthly change in a key economic indicator after adjusting for predictable seasonal patterns. It provides a clearer signal of underlying economic conditions for policymakers and analysts.
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 the effects of predictable seasonal variations, such as weather or holidays, from economic time series data. This allows analysts to better identify and interpret underlying trends and turning points in the data.
Methodology
The U.S. Census Bureau uses regression models and other advanced techniques to calculate seasonally adjusted values.
Historical Context
Seasonally adjusted data is widely used by the Federal Reserve, other policymakers, and market analysts to inform economic decision-making.
Key Facts
- Seasonal adjustment removes predictable patterns like holidays and weather.
- Seasonally adjusted data better reflects underlying economic conditions.
- Policymakers rely on seasonally adjusted indicators to inform decisions.
FAQs
Q: What does this economic trend measure?
A: The Seasonally Adjusted trend measures the monthly change in a key economic indicator after removing predictable seasonal variations.
Q: Why is this trend relevant for users or analysts?
A: Seasonally adjusted data provides a clearer signal of underlying economic conditions, which is crucial for policymakers and market analysts.
Q: How is this data collected or calculated?
A: The U.S. Census Bureau uses advanced statistical techniques, including regression models, to calculate seasonally adjusted values.
Q: How is this trend used in economic policy?
A: Seasonally adjusted data is widely used by the Federal Reserve, other policymakers, and market analysts to inform economic decision-making.
Q: Are there update delays or limitations?
A: Seasonally adjusted data may have a lag of several weeks or months compared to the release of raw, unadjusted data.
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Citation
U.S. Federal Reserve, Seasonally Adjusted (SM4523USS), retrieved from FRED.