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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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [SFQ78GISNR], retrieved from FRED.
Last Checked: 8/1/2025