Seasonally Adjusted
PBF8QSADE • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
418.00
Year-over-Year Change
5.82%
Date Range
7/1/2004 - 10/1/2019
Summary
The Seasonally Adjusted trend measures the seasonal variations in economic data, allowing for more accurate analysis of underlying trends and changes.
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 used to remove regular, predictable variations in economic time series data, such as those caused by weather patterns, holidays, or other recurring events. This allows economists and policymakers to better identify and interpret genuine changes in the data.
Methodology
The U.S. Census Bureau uses regression-based models to calculate seasonal adjustments for economic indicators.
Historical Context
Seasonally adjusted data is widely used by the Federal Reserve, government agencies, and private analysts to monitor and forecast economic conditions.
Key Facts
- Seasonal adjustment removes recurring patterns in time series data.
- Adjusted data reveals underlying changes in the economy.
- Seasonality can distort economic analysis without proper adjustment.
FAQs
Q: What does this economic trend measure?
A: The Seasonally Adjusted trend measures the seasonal variations in economic data, allowing for more accurate analysis of underlying trends and changes.
Q: Why is this trend relevant for users or analysts?
A: Seasonally adjusted data is widely used by economists, policymakers, and analysts to monitor and forecast economic conditions by removing the distorting effects of regular, predictable variations in the data.
Q: How is this data collected or calculated?
A: The U.S. Census Bureau uses regression-based models to calculate seasonal adjustments for economic indicators.
Q: How is this trend used in economic policy?
A: Seasonally adjusted data is crucial for the Federal Reserve, government agencies, and private analysts to accurately interpret changes in economic conditions and inform policy decisions.
Q: Are there update delays or limitations?
A: Seasonal adjustment models can be subject to revision as more data becomes available, leading to potential delays or changes in reported figures.
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Citation
U.S. Federal Reserve, Seasonally Adjusted (PBF8QSADE), retrieved from FRED.