Other Liquid Deposits: Total
Monthly, Not Seasonally Adjusted
MDLNM • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
10,810.70
Year-over-Year Change
2.47%
Date Range
5/1/2020 - 6/1/2025
Summary
The 'Monthly, Not Seasonally Adjusted' trend 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 original, unadjusted monthly economic measurements that capture raw economic activity without seasonal modifications. Economists use this data to understand immediate economic signals and validate seasonal adjustment methodologies.
Methodology
Data is collected through comprehensive surveys, direct reporting from economic entities, and government statistical tracking systems.
Historical Context
This trend is critical for detailed economic analysis, policy research, and understanding granular economic performance across different sectors and time periods.
Key Facts
- Represents raw, unmodified economic data
- Provides unsmoothed economic measurements
- Essential for detailed economic research and validation
FAQs
Q: What does 'Not Seasonally Adjusted' mean?
A: It means the data reflects actual recorded values without statistical techniques that remove predictable seasonal patterns or variations.
Q: Why are non-seasonally adjusted metrics important?
A: They provide a direct view of economic activity, helping researchers understand raw economic movements before normalization.
Q: How do economists use this type of data?
A: Researchers compare non-adjusted and seasonally adjusted data to validate statistical models and understand underlying economic trends.
Q: Are non-seasonally adjusted metrics useful for policy making?
A: They offer preliminary insights that complement seasonally adjusted data, helping policymakers understand immediate economic conditions.
Q: How frequently is this data updated?
A: Typically, these metrics are updated monthly, providing a current snapshot of economic performance.
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Citation
U.S. Federal Reserve, Monthly, Not Seasonally Adjusted [MDLNM], retrieved from FRED.
Last Checked: 8/1/2025