78) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes Relating to Lending Against Each of the Following Collateral Types Changed?| G. Consumer Abs. | Answer Type: Increased Somewhat

Number of Respondents, Quarterly, Not Seasonally Adjusted

SFQ78GISNR • 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 patterns and survey participation rates across various economic research initiatives.

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 the raw count of participants in economic surveys, offering a baseline understanding of data collection efforts. Economists use this information to assess survey reliability, response rates, and potential sampling biases.

Methodology

Data is collected through systematic quarterly surveys, aggregating the total number of respondents across different economic research projects.

Historical Context

This metric is crucial for understanding the statistical robustness of economic research and policy analysis surveys.

Key Facts

  • Provides a raw count of survey participants
  • Collected on a quarterly basis
  • Not seasonally adjusted for comparative analysis

FAQs

Q: What does this trend specifically measure?

A: It measures the total number of respondents in economic surveys on a quarterly basis without seasonal adjustments.

Q: Why are non-seasonally adjusted numbers important?

A: Non-seasonally adjusted data provides raw, unmodified information that can reveal underlying participation patterns without statistical smoothing.

Q: How is this data typically used?

A: Researchers use this metric to assess survey participation rates, validate research methodologies, and understand potential sampling variations.

Q: What limitations exist in this data?

A: The metric only represents participant count and does not provide insights into survey responses or content.

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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62) Over the Past Three Months, How Have the Terms Under Which Agency RMBS Are Funded Changed?| B. Terms for Most Favored Clients, as a Consequence of Breadth, Duration And/or Extent of Relationship | 1. Maximum Amount of Funding. | Answer Type: Eased Considerably

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32) How Has the Intensity of Efforts by Investment Advisers to Negotiate More-Favorable Price and Nonprice Terms on Behalf of Separately Managed Accounts Changed over the Past Three Months?| Answer Type: Increased Considerably

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25) To the Extent That the Price or Nonprice Terms Applied to Insurance Companies Have Tightened or Eased Over the Past Three Months (as Reflected in Your Responses to Questions 23 and 24), What Are the Most Important Reasons for the Change?| B. Possible Reasons for Easing | 5. Increased Availability of Balance Sheet or Capital at Your Institution. | Answer Type: 2nd Most Important

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Citation

U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [SFQ78GISNR], retrieved from FRED.

Last Checked: 8/1/2025

78) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes Relating to Lending Against Each of the Following Collateral Types Changed?| G. Consumer Abs. | Answer Type: Increased Somewhat | US Economic Trends