Currency Component of M1
Monthly, Not Seasonally Adjusted
CURRNS • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
2,306.70
Year-over-Year Change
1.89%
Date Range
1/1/1947 - 6/1/2025
Summary
The 'Monthly, Not Seasonally Adjusted' series provides raw economic data without statistical smoothing or adjustment for predictable seasonal variations. This unfiltered data offers economists a direct view of economic fluctuations before standard normalization techniques are applied.
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 data series represents the raw, unadjusted monthly economic measurements that capture actual observed values without accounting for seasonal patterns like holiday spending or weather-related economic shifts. Economists use this data to understand granular economic movements and validate seasonally adjusted figures.
Methodology
Data is collected through systematic government and institutional surveys, capturing raw economic measurements without statistical smoothing or normalization techniques.
Historical Context
Policymakers and financial analysts use this non-seasonally adjusted data to assess immediate economic conditions and validate broader trend analyses.
Key Facts
- Provides unfiltered economic data without seasonal adjustments
- Offers direct insight into raw economic measurements
- Useful for understanding immediate economic fluctuations
FAQs
Q: What does 'not seasonally adjusted' mean?
A: It means the data reflects actual observed values without statistical techniques that smooth out predictable seasonal variations like holiday spending or weather impacts.
Q: Why are non-seasonally adjusted figures important?
A: They provide a raw, unfiltered view of economic data that helps economists validate seasonally adjusted trends and understand immediate economic movements.
Q: How is this data different from seasonally adjusted data?
A: Non-seasonally adjusted data shows actual measured values without statistical normalization, while seasonally adjusted data removes predictable fluctuations to reveal underlying trends.
Q: Who uses this type of economic data?
A: Economists, financial analysts, policymakers, and researchers use non-seasonally adjusted data to understand immediate economic conditions and validate broader trend analyses.
Q: How frequently is this data updated?
A: Typically, this type of economic data is updated monthly, providing a current snapshot of economic measurements without seasonal adjustments.
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Related Trends
Citation
U.S. Federal Reserve, Monthly, Not Seasonally Adjusted [CURRNS], retrieved from FRED.
Last Checked: 8/1/2025