Monthly, Seasonally Adjusted
STDTI • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
49.30
Year-over-Year Change
-57.97%
Date Range
1/1/1959 - 1/1/2021
Summary
The Monthly, Seasonally Adjusted trend represents a standardized economic indicator that helps analysts understand underlying economic patterns by removing seasonal fluctuations. This data series provides a more accurate representation of economic trends by normalizing variations caused by predictable seasonal 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
Economists use seasonally adjusted data to identify genuine economic shifts without the distortion of recurring annual patterns like holiday spending or weather-related economic activities. The adjustment allows for more precise comparisons across different time periods and provides a clearer picture of underlying economic momentum.
Methodology
Data is collected through statistical techniques that mathematically remove predictable seasonal variations, typically using complex time series analysis and smoothing algorithms.
Historical Context
Policymakers and financial analysts rely on seasonally adjusted data to make more informed decisions about economic interventions, monetary policy, and strategic planning.
Key Facts
- Seasonally adjusted data removes predictable cyclical variations
- Provides more accurate representation of underlying economic trends
- Critical for comparative economic analysis across different time periods
FAQs
Q: Why is seasonal adjustment important?
A: Seasonal adjustment helps economists understand true economic trends by removing predictable fluctuations caused by recurring annual patterns like weather or holidays.
Q: How does seasonal adjustment work?
A: Statistical techniques mathematically analyze and remove predictable seasonal variations, revealing the underlying economic trend through complex time series analysis.
Q: Who uses seasonally adjusted data?
A: Policymakers, economists, financial analysts, and researchers use seasonally adjusted data to make more accurate economic assessments and strategic decisions.
Q: What are common examples of seasonal variations?
A: Retail sales during holiday seasons, agricultural production affected by growing cycles, and tourism industries with peak and off-peak periods are typical seasonal variations.
Q: How frequently is seasonally adjusted data updated?
A: Most economic indicators with seasonal adjustments are updated monthly or quarterly, depending on the specific data series and reporting agency.
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Citation
U.S. Federal Reserve, Monthly, Seasonally Adjusted [STDTI], retrieved from FRED.
Last Checked: 8/1/2025