Monthly, Seasonally Adjusted
DISAMBSL • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
719.24
Year-over-Year Change
5.99%
Date Range
1/1/1950 - 6/1/2003
Summary
The Monthly, Seasonally Adjusted series provides a standardized view of economic data that removes predictable seasonal variations. This adjustment allows for more accurate comparisons of economic indicators across different months and years.
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 economists and analysts understand underlying economic trends by eliminating recurring seasonal patterns that can distort raw data. It provides a clearer picture of fundamental economic changes independent of predictable cyclical fluctuations.
Methodology
Data is collected through statistical techniques that remove predictable seasonal variations using advanced time series analysis and mathematical modeling.
Historical Context
This type of data is crucial for policymakers, central banks, and economic researchers in making informed decisions about monetary policy, economic forecasting, and strategic planning.
Key Facts
- Seasonally adjusted data removes predictable cyclical variations
- Enables more accurate month-to-month and year-to-year comparisons
- Used extensively in economic research and policy analysis
FAQs
Q: What does 'seasonally adjusted' mean?
A: Seasonally adjusted data removes predictable annual patterns like holiday spending or summer tourism to reveal underlying economic trends.
Q: Why is seasonal adjustment important?
A: It allows economists to compare economic data across different periods without the distortion of regular seasonal fluctuations.
Q: How is seasonal adjustment calculated?
A: Statistical methods like X-12-ARIMA are used to identify and remove seasonal patterns from raw economic data.
Q: Who uses seasonally adjusted data?
A: Policymakers, central banks, economists, and financial analysts rely on seasonally adjusted data for accurate economic analysis.
Q: How often is this data updated?
A: Typically, seasonally adjusted data is updated monthly or quarterly, depending on the specific economic indicator being analyzed.
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Citation
U.S. Federal Reserve, Monthly, Seasonally Adjusted [DISAMBSL], retrieved from FRED.
Last Checked: 8/1/2025