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 | 1. Maximum Amount of Funding. | Answer Type: Eased Somewhat

Number of Respondents, Quarterly, Not Seasonally Adjusted

SFQ74A1ESNR • 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 sampling variations across different economic research contexts.

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 a raw count of survey participants, which can be critical for understanding statistical reliability and research sampling techniques. Economists use this metric to assess the robustness and representativeness of economic surveys and research studies.

Methodology

Data is collected through systematic quarterly surveys, with respondent counts recorded without applying seasonal adjustment algorithms.

Historical Context

This indicator helps researchers and policymakers evaluate the statistical validity and potential bias in economic research and survey-based analyses.

Key Facts

  • Represents raw survey participant count without seasonal adjustments
  • Provides insight into research sampling methodologies
  • Helps assess statistical reliability of economic surveys

FAQs

Q: What does this trend specifically measure?

A: It tracks the number of survey participants in a given quarterly research study without applying seasonal adjustment techniques.

Q: Why are non-seasonally adjusted respondent counts important?

A: They provide a direct view of raw data collection without statistical smoothing, which can reveal unfiltered participation patterns.

Q: How is this data series typically used?

A: Researchers and economists use it to understand survey sample sizes and assess the potential representativeness of economic research.

Q: What limitations might this trend have?

A: The raw count doesn't account for potential sampling biases or demographic variations that might impact research conclusions.

Q: How frequently is this data updated?

A: The series 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 [SFQ74A1ESNR], retrieved from FRED.

Last Checked: 8/1/2025