79) Over the Past Three Months, How Has the Duration and Persistence of Mark and Collateral Disputes Relating to Lending Against Each of the Following Collateral Types Changed?| F. Cmbs. | Answer Type: Increased Considerably
Number of Respondents, Quarterly, Not Seasonally Adjusted
SFQ79FICNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
N/A%
Date Range
10/1/2011 - 4/1/2025
Summary
This economic indicator tracks the number of survey respondents in a quarterly, non-seasonally adjusted dataset. 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
The trend represents a quantitative measure of survey participation, reflecting the sample size and potential representativeness of economic research studies. Economists use this data to assess the reliability and statistical significance of research findings.
Methodology
Data is collected through systematic quarterly surveys, with respondent counts tracked without seasonal adjustments to maintain raw data integrity.
Historical Context
This indicator helps researchers and policymakers understand survey response dynamics and potential sampling biases in economic research.
Key Facts
- Represents quarterly survey participation rates
- Not seasonally adjusted for raw data representation
- Provides insight into research sample sizes
FAQs
Q: What does this trend specifically measure?
A: It tracks the number of survey respondents in a quarterly, non-seasonally adjusted dataset across economic research studies.
Q: Why are non-seasonally adjusted numbers important?
A: Non-seasonally adjusted data preserves the raw participation numbers without statistical smoothing, offering a direct view of actual respondent counts.
Q: How is this data typically used?
A: Researchers use this trend to assess survey sample sizes, validate research methodologies, and understand potential response rate variations.
Q: What limitations might this data have?
A: The trend only captures respondent count and does not provide qualitative insights into survey responses or demographic details.
Q: How frequently is this data updated?
A: The data is updated quarterly, providing a consistent snapshot of survey participation over time.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [SFQ79FICNR], retrieved from FRED.
Last Checked: 8/1/2025