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 | 2. Maximum Maturity. | Answer Type: Tightened Somewhat
Number of Respondents, Quarterly, Not Seasonally Adjusted
ALLQ74A2TSNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
1.00
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 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 the composition and representativeness of survey data across different quarters. The non-seasonally adjusted approach allows for raw, unmodified observation of respondent numbers.
Methodology
Data is collected through systematic quarterly surveys, with each respondent counted and aggregated without applying seasonal adjustment techniques.
Historical Context
This trend helps researchers validate survey reliability, assess response rates, and understand potential sampling biases in economic research.
Key Facts
- Represents raw quarterly respondent count without seasonal modifications
- Provides transparency in survey data collection processes
- Useful for assessing research sample consistency
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 to the data.
Q: Why are non-seasonally adjusted numbers important?
A: They provide unmodified data that allows researchers to see raw variations in survey participation across different quarters.
Q: How frequently is this data updated?
A: The data is updated quarterly, reflecting the most recent survey response counts.
Q: Can this trend indicate research quality?
A: Consistent respondent numbers can suggest reliable survey methodologies and representative sampling.
Q: What are potential limitations of this trend?
A: It does not account for seasonal variations or provide context about respondent demographics beyond raw numbers.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [ALLQ74A2TSNR], retrieved from FRED.
Last Checked: 8/1/2025