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?| F. CMBS. | Answer Type: Decreased Considerably
Number of Respondents, Quarterly, Not Seasonally Adjusted
ALLQ78FDCNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
N/A%
Date Range
10/1/2011 - 1/1/2025
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 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
Economists use this trend to understand survey response dynamics and potential sampling variations in economic research. The quarterly, non-seasonally adjusted approach allows for raw data observation without statistical smoothing.
Methodology
Data is collected through systematic quarterly surveys, with respondents counted and aggregated without applying seasonal adjustment techniques.
Historical Context
This trend helps researchers validate survey representativeness and assess potential sampling bias in economic research and policy analysis.
Key Facts
- Represents raw quarterly survey participation data
- Not seasonally adjusted for statistical smoothing
- Provides baseline insights into survey response rates
FAQs
Q: What does this trend specifically measure?
A: It tracks the total number of survey respondents in a given quarter without applying seasonal adjustments. This provides a direct count of participant engagement.
Q: Why are non-seasonally adjusted numbers important?
A: Non-seasonally adjusted data shows raw numbers without statistical manipulation, allowing researchers to see actual response variations.
Q: How frequently is this data updated?
A: The data is updated quarterly, providing a consistent snapshot of survey participation rates throughout the year.
Q: What can researchers learn from this trend?
A: Researchers can analyze participation rates, identify potential sampling biases, and understand survey response patterns across different periods.
Q: Are there limitations to this data?
A: The trend only shows raw respondent numbers and does not account for qualitative aspects of survey responses or demographic variations.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [ALLQ78FDCNR], retrieved from FRED.
Last Checked: 8/1/2025