74) Over the Past Three Months, How Have the Terms Under Which Consumer Abs (for Example, Backed by Credit Card Receivables or Auto Loans) Are Funded Changed?| A. Terms for Average Clients | 4. Collateral Spreads over Relevant Benchmark (Effective Financing Rates). | Answer Type: Eased Somewhat
Number of Respondents, Quarterly, Not Seasonally Adjusted
SFQ74A4ESNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
1.00
Year-over-Year Change
0.00%
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 survey participation and potential economic sentiment across various sectors.
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 sampling methodologies and response rates in economic research. The data helps validate the statistical significance and representativeness of economic surveys and research studies.
Methodology
Data is collected through systematic quarterly surveys, with responses carefully tracked and compiled without seasonal adjustments.
Historical Context
This trend is utilized in policy research, market analysis, and academic economic studies to assess survey reliability and participation trends.
Key Facts
- Represents quarterly survey participation rates
- Not seasonally adjusted, providing raw response data
- Used to validate economic research methodologies
FAQs
Q: What does this trend measure?
A: It tracks the number of survey respondents in a quarterly dataset without seasonal adjustments. The data provides insights into survey participation rates.
Q: Why are non-seasonally adjusted numbers important?
A: Non-seasonally adjusted data shows raw participation numbers without statistical smoothing. This helps researchers understand actual response variations.
Q: How is this data collected?
A: Data is gathered through systematic quarterly surveys across various economic research platforms. Responses are carefully tracked and compiled.
Q: What are the primary uses of this trend?
A: Economists use this trend to validate survey methodologies, assess research participation, and understand potential biases in economic studies.
Q: How frequently is this data updated?
A: The data is updated quarterly, providing a consistent snapshot of survey participation rates. Researchers can track changes over time.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [SFQ74A4ESNR], retrieved from FRED.
Last Checked: 8/1/2025