37) To the Extent That the Price or Nonprice Terms Applied to Nonfinancial Corporations Have Tightened or Eased over the Past Three Months (as Reflected in Your Responses to Questions 35 and 36), 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: 3rd Most Important

Number of Respondents, Quarterly, Not Seasonally Adjusted

CTQ37B53MINR • Economic Data from Federal Reserve Economic Data (FRED)

Latest Value

0.00

Year-over-Year Change

N/A%

Date Range

1/1/2012 - 4/1/2025

Summary

This economic indicator tracks the number of survey respondents in a quarterly, non-seasonally adjusted dataset. It 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

The trend represents a quantitative measure of survey participation, which can be critical for understanding statistical reliability and representativeness of economic research. Economists use such metrics to assess data quality and potential sampling biases.

Methodology

Data is collected through systematic quarterly surveys, with respondent numbers tracked without seasonal adjustments to maintain raw data integrity.

Historical Context

This metric is utilized in economic research to evaluate survey robustness, sampling techniques, and potential variations in data collection approaches.

Key Facts

  • Tracks quarterly survey respondent numbers
  • Provides non-seasonally adjusted data
  • Helps assess research sample reliability

FAQs

Q: What does this trend specifically measure?

A: It measures the number of survey participants in a given quarterly research effort, without seasonal adjustments.

Q: Why are non-seasonally adjusted numbers important?

A: Non-seasonally adjusted data provides raw, unmodified insights into actual survey participation without statistical smoothing.

Q: How is this data collection series identified?

A: The series is identified by the unique Federal Reserve identifier CTQ37B53MINR.

Q: What is the primary use of this trend?

A: Researchers use this to understand survey sample sizes and potential variations in economic data collection.

Q: How frequently is this data updated?

A: The data is updated quarterly, providing consistent snapshots of survey participation.

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Citation

U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [CTQ37B53MINR], retrieved from FRED.

Last Checked: 8/1/2025