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?| B. Terms for Most Favored Clients, as a Consequence of Breadth, Duration And/or Extent of Relationship | 1. Maximum Amount of Funding. | Answer Type: Eased Somewhat
Number of Respondents, Quarterly, Not Seasonally Adjusted
SFQ74B1ESNR • 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 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 statistical robustness of survey-based economic research and potential sampling variations. The data helps validate the representativeness and reliability of economic surveys and research methodologies.
Methodology
Data is collected through systematic quarterly surveys, with raw counts recorded without seasonal adjustment techniques.
Historical Context
This trend is used in macroeconomic analysis to assess survey reliability, research sampling strategies, and potential data collection biases.
Key Facts
- Represents raw quarterly survey respondent numbers
- Not seasonally adjusted for statistical variations
- Provides insight into survey sampling strategies
FAQs
Q: What does this trend specifically measure?
A: It tracks the total number of survey respondents in a given quarter without applying seasonal adjustment techniques.
Q: Why are non-seasonally adjusted numbers important?
A: Raw numbers help researchers understand actual survey participation without statistical smoothing or normalization.
Q: How frequently is this data updated?
A: The data is typically updated on a quarterly basis, reflecting the most recent survey collection period.
Q: Can this trend indicate research quality?
A: Consistent and representative respondent numbers can suggest robust and reliable economic research methodologies.
Q: What are potential limitations of this trend?
A: The raw count doesn't account for demographic representation or survey response quality, requiring additional contextual analysis.
Related News
U.S. jobless claims decline to lowest level since mid-July
U.S. Jobless Claims Drop: A Positive Sign for Economic Growth The U.S. economy is signaling a positive turn as the initial jobless claims have drop...
Gen Z In the U.S. Shifts From Spending To Saving Habits
How Gen Z's Shift from Spending to Saving is Impacting the US Economy Recent trends indicate a significant shift in the spending habits of Gen Z, w...
S&P 500 Rises With Optimistic U.S. Inflation Report
S&P 500 Soars: Positive U.S. Inflation Developments The S&P 500, a primary stock index that tracks the performance of 500 major U.S. companies, has...
U.S. Stock Market Futures Rise On Inflation and Tariff News
US Stock Market Futures Rise Amid Inflation Data and Tariff News US stock market futures are on the rise, driven by significant updates in inflatio...
U.S. Treasury Yields Decline After Inflation Data Meet Expectations
US Treasury Yields Drop as Inflation Data Meets Expectations US Treasury yields have seen a noticeable decline recently, as the latest inflation da...
U.S. Stock Market Rises Amid PCE Inflation Report Analysis
U.S. Stock Market Climbs Amidst Insights from PCE Inflation Report Investors in the U.S. stock market are focusing on the most recent PCE Inflation...
Related Trends
40) Over the Past Three Months, How Has the Duration and Persistence of Mark and Collateral Disputes with Clients of Each of the Following Types Changed?| E. Insurance Companies. | Answer Type: Increased Considerably
ALLQ40EICNR
52) Over the Past Three Months, How Have the Terms Under Which High-Grade Corporate Bonds Are Funded Changed?| B. Terms for Most Favored Clients, as a Consequence of Breadth, Duration And/or Extent of Relationship | 2. Maximum Maturity. | Answer Type: Eased Somewhat
SFQ52B2ESNR
66) Over the Past Three Months, How Have the Terms Under Which Non-Agency Rmbs Are Funded Changed?| A. Terms for Average Clients | 3. Haircuts. | Answer Type: Tightened Somewhat
ALLQ66A3TSNR
8) Considering the Entire Range of Transactions Facilitated by Your Institution for Such Clients, How Has the Use of Financial Leverage by Hedge Funds Changed Over the Past Three Months?| Answer Type: Decreased Somewhat
CTQ08DSNR
13) To the Extent That the Price or Nonprice Terms Applied to Trading REITs Have Tightened or Eased Over the Past Three Months (as Reflected in Your Responses to Questions 11 and 12), 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
CTQ13B53MINR
56) Over the Past Three Months, How Have the Terms Under Which High-Yield Corporate Bonds Are Funded Changed?| B. Terms for Most Favored Clients, as a Consequence of Breadth, Duration And/or Extent of Relationship | 3. Haircuts. | Answer Type: Remained Basically Unchanged
SFQ56B3RBUNR
Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [SFQ74B1ESNR], retrieved from FRED.
Last Checked: 8/1/2025