70) Over the Past Three Months, How Have the Terms Under Which Cmbs Are Funded Changed?| A. Terms for Average Clients | 3. Haircuts. | Answer Type: Eased Considerably

Number of Respondents, Quarterly, Not Seasonally Adjusted

SFQ70A3ECNR • 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 on a quarterly basis without seasonal adjustments. The metric provides insights into data collection methodologies and potential sample size variations across different economic research efforts.

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 participation rates and potential sampling dynamics in economic research. The unseasonally adjusted quarterly data helps researchers assess raw response patterns without statistical smoothing.

Methodology

Data is collected through systematic quarterly surveys, aggregating the total number of participants who responded to specific economic research questionnaires.

Historical Context

This trend is utilized in evaluating survey reliability, response rates, and potential sampling bias in economic and statistical research.

Key Facts

  • Represents raw, unmodified respondent count
  • Collected on a quarterly basis
  • Provides baseline insights into survey participation

FAQs

Q: What does this trend specifically measure?

A: It measures the total number of survey participants in a given quarter without applying seasonal adjustments to the data.

Q: Why are unseasonally adjusted numbers important?

A: Unseasonally adjusted data provides a raw, unmodified view of survey participation that can reveal underlying response patterns.

Q: How is this data typically used?

A: Researchers and economists use this trend to assess survey reliability, response rates, and potential sampling variations.

Q: What makes this trend valuable for economic analysis?

A: It offers transparency into survey methodology and helps validate the representativeness of economic research samples.

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 [SFQ70A3ECNR], retrieved from FRED.

Last Checked: 8/1/2025