Retail Money Market Funds
Monthly, Seasonally Adjusted
RMFSL • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
2,157.50
Year-over-Year Change
16.51%
Date Range
1/1/1973 - 6/1/2025
Summary
The Monthly, Seasonally Adjusted series represents a standardized economic indicator that helps analysts understand underlying economic trends by removing predictable seasonal variations. This data provides a clearer view of fundamental economic patterns by neutralizing cyclical fluctuations.
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
This trend is a statistical adjustment technique used to reveal the true economic trajectory by eliminating predictable seasonal influences like holiday spending, weather impacts, or annual employment cycles. Economists use seasonally adjusted data to make more accurate comparisons and identify genuine economic shifts.
Methodology
Data is collected through comprehensive statistical sampling and then processed using advanced mathematical techniques to remove predictable seasonal patterns, typically involving complex time series decomposition methods.
Historical Context
Policymakers and financial analysts rely on seasonally adjusted data to make more informed decisions about monetary policy, economic forecasting, and strategic planning.
Key Facts
- Seasonally adjusted data removes predictable cyclical variations
- Provides a more accurate representation of underlying economic trends
- Critical for making meaningful economic comparisons across different time periods
FAQs
Q: Why is seasonal adjustment important?
A: Seasonal adjustment helps reveal true economic trends by removing predictable fluctuations that can distort data interpretation. It allows for more accurate comparisons across different time periods.
Q: How does seasonal adjustment work?
A: Seasonal adjustment uses statistical techniques to estimate and remove recurring patterns in data, such as holiday spending or weather-related economic changes. This process reveals the underlying economic trend.
Q: What are the limitations of seasonal adjustment?
A: Seasonal adjustment relies on historical patterns and statistical models, which may not perfectly capture all economic variations. Unexpected events can still impact the accuracy of adjusted data.
Q: Who uses seasonally adjusted economic data?
A: Policymakers, economists, financial analysts, and researchers use seasonally adjusted data to make more informed decisions about economic trends, policy, and forecasting.
Q: How often is this data updated?
A: Typically, seasonally adjusted economic indicators are updated monthly, providing a current and dynamic view of economic trends. The specific update frequency can vary by data source.
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Citation
U.S. Federal Reserve, Monthly, Seasonally Adjusted [RMFSL], retrieved from FRED.
Last Checked: 8/1/2025