Number of Respondents, Quarterly, Not Seasonally Adjusted
ALLQ25A5SINR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
N/A%
Date Range
10/1/2011 - 10/1/2011
Summary
This economic indicator tracks the number of survey respondents in a quarterly, non-seasonally adjusted dataset. The metric provides insights into survey participation and potential economic sentiment across various sectors.
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 sampling methodologies and response rates in economic surveys. The data helps validate the statistical reliability and representativeness of economic research and polling efforts.
Methodology
Data is collected through systematic quarterly surveys, with respondents tracked and counted without seasonal adjustments to maintain raw data integrity.
Historical Context
This metric is crucial for assessing survey quality, statistical significance, and potential bias in economic research and policy analysis.
Key Facts
- Represents raw quarterly survey participation numbers
- Not seasonally adjusted for maintaining original data perspective
- Used to validate statistical research methodologies
FAQs
Q: What does this trend specifically measure?
A: It tracks the total number of survey respondents in a quarterly, unadjusted dataset across various economic research efforts.
Q: Why are non-seasonally adjusted numbers important?
A: Non-seasonally adjusted data preserves the original survey responses without statistical smoothing, providing a direct view of raw participation.
Q: How is this data collected?
A: Data is gathered through systematic quarterly surveys across different economic research and polling initiatives.
Q: What are potential use cases for this trend?
A: Researchers use this to assess survey reliability, understand participation rates, and validate statistical sampling methodologies.
Q: What are the limitations of this trend?
A: The data only represents survey participation and does not directly indicate economic conditions, requiring careful contextual interpretation.
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
6) To the Extent That the Price or Nonprice Terms Applied to Hedge Funds Have Tightened or Eased over the Past Three Months (as Reflected in Your Responses to Questions 4 and 5), What Are the Most Important Reasons for the Change?| A. Possible Reasons for Tightening | 6. Worsening in General Market Liquidity and Functioning. | Answer Type: 3rd Most Important
ALLQ06A63MINR
39) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes with Clients of Each of the Following Types Changed?| E. Insurance Companies. | Answer Type: Increased Somewhat
ALLQ39EISNR
51) Over the Past Three Months, How Has the Duration and Persistence of Mark and Collateral Disputes Relating to Contracts of Each of the Following Types Changed?| F. Commodity. | Answer Type: Decreased Somewhat
ALLQ51FDSNR
22) How Has the Provision of Differential Terms by Your Institution to Most-Favored (as a Function of Breadth, Duration, and Extent of Relationship) Mutual Funds, Etfs, Pension Plans, and Endowments Changed over the Past Three Months?| Answer Type: Decreased Somewhat
ALLQ22DSNR
25) To the Extent That the Price or Nonprice Terms Applied to Insurance Companies Have Tightened or Eased Over the Past Three Months (as Reflected in Your Responses to Questions 23 and 24), What Are the Most Important Reasons for the Change?| A. Possible Reasons for Tightening | 1. Deterioration in Current or Expected Financial Strength of Counterparties. | Answer Type: 2nd Most Important
CTQ25A12MINR
69) Over the Past Three Months, How Have Liquidity and Functioning in the Non-Agency Rmbs Market Changed?| Answer Type: Improved Considerably
ALLQ69PNNR
Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [ALLQ25A5SINR], retrieved from FRED.
Last Checked: 8/1/2025