39) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes with Clients of Each of the Following Types Changed?| D. Mutual Funds, Etfs, Pension Plans, and Endowments. | Answer Type: Decreased Somewhat
Number of Respondents, Quarterly, Not Seasonally Adjusted
CTQ39DDSNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
-100.00%
Date Range
10/1/2011 - 4/1/2025
Summary
This economic indicator tracks the number of survey respondents on a quarterly basis without seasonal adjustments. The metric provides insights into data collection and survey participation rates across various economic research contexts.
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 this trend to understand survey response dynamics and potential sampling variations. The quarterly, non-seasonally adjusted approach allows for raw data observation without statistical smoothing.
Methodology
Data is collected through systematic quarterly surveys, with each respondent counted and aggregated without seasonal modifications.
Historical Context
This indicator helps researchers assess survey reliability, response rates, and potential sampling bias in economic research.
Key Facts
- Represents raw quarterly survey participation counts
- Not seasonally adjusted for statistical smoothing
- Provides baseline understanding of survey response patterns
FAQs
Q: What does this trend specifically measure?
A: It tracks the total number of survey respondents in a given quarter without applying seasonal adjustments to the data.
Q: Why is non-seasonal data important?
A: Non-seasonal data provides a direct view of raw numbers without statistical modifications, allowing for precise original observations.
Q: How is this data typically used?
A: Researchers and economists use this to understand survey participation rates and potential sampling variations across different quarters.
Q: What limitations might this data have?
A: The raw count doesn't account for seasonal fluctuations or normalize data, which might require additional statistical analysis.
Q: How frequently is this data updated?
A: The data is updated quarterly, providing a consistent snapshot of survey respondent numbers throughout the year.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [CTQ39DDSNR], retrieved from FRED.
Last Checked: 8/1/2025