Weekly, Not Seasonally Adjusted
WNONM1NS • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
1,285.40
Year-over-Year Change
-5.89%
Date Range
12/10/2001 - 2/1/2021
Summary
The 'Weekly, Not Seasonally Adjusted' data series provides raw, unadjusted economic measurements without statistical smoothing or normalization. This unfiltered data allows economists to observe raw economic fluctuations and understand underlying market dynamics.
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 represents unmodified economic data collected at weekly intervals, capturing the immediate, unsmoothed economic signals without accounting for predictable seasonal variations. Economists use this raw data to analyze granular economic changes and detect emerging patterns.
Methodology
Data is collected through direct reporting from financial institutions, government agencies, and economic survey mechanisms, then compiled without applying seasonal adjustment algorithms.
Historical Context
Policymakers and financial analysts use this non-seasonally adjusted data to understand immediate economic trends and validate broader statistical models.
Key Facts
- Provides unfiltered economic data without seasonal smoothing
- Captures immediate market fluctuations
- Essential for granular economic analysis
FAQs
Q: What makes non-seasonally adjusted data different?
A: Non-seasonally adjusted data shows raw economic measurements without removing predictable seasonal variations, revealing unfiltered market dynamics.
Q: Why would economists prefer non-seasonally adjusted data?
A: Raw data helps identify immediate economic changes and validate broader statistical models by showing unsmoothed market signals.
Q: How frequently is this data updated?
A: This specific series is updated weekly, providing current economic insights without statistical modifications.
Q: Can non-seasonally adjusted data be misleading?
A: Raw data can appear more volatile and may require careful interpretation to understand true economic trends.
Q: What limitations exist in this data series?
A: Non-seasonally adjusted data does not account for predictable cyclical variations, which can obscure long-term economic patterns.
Related News

Gen Z In the U.S. Shifts From Spending To Saving Habits
How Gen Z's Shift from Spending to Saving is Impacting the US Economy Recent trends indicate a significant shift in the spending habits of Gen Z, w...

S&P 500 Rises With Optimistic U.S. Inflation Report
S&P 500 Soars: Positive U.S. Inflation Developments The S&P 500, a primary stock index that tracks the performance of 500 major U.S. companies, has...

U.S. Stock Market Futures Rise On Inflation and Tariff News
US Stock Market Futures Rise Amid Inflation Data and Tariff News US stock market futures are on the rise, driven by significant updates in inflatio...

U.S. Treasury Yields Decline After Inflation Data Meet Expectations
US Treasury Yields Drop as Inflation Data Meets Expectations US Treasury yields have seen a noticeable decline recently, as the latest inflation da...

U.S. Stock Market Rises Amid PCE Inflation Report Analysis
U.S. Stock Market Climbs Amidst Insights from PCE Inflation Report Investors in the U.S. stock market are focusing on the most recent PCE Inflation...

U.S. Stock Futures Stagnant Despite Positive Jobless Claims and GDP
Why US Stock Futures Remain Stagnant Despite Positive Economic Indicators The current investment landscape is puzzling for many as US stock futures...
Related Trends
Citation
U.S. Federal Reserve, Weekly, Not Seasonally Adjusted [WNONM1NS], retrieved from FRED.
Last Checked: 8/1/2025