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Number of Large Domestic Banks That Reported Weaker Commercial and Industrial Loan Demand and Reported That Decreased Customer Inventory Financing Needs Was Not an Important Reason (SUBLPDCIRWINLGNQ)

Observation:

Q1 2025: 2 (+ more)  Updated: Feb 3, 2025 1:20 PM CST
Q1 2025:  2  
Q4 2024:  5  
Q3 2024:  4  
Q2 2024:  2  
Q1 2024:  1  

Units:

Number of Responses,
Not Seasonally Adjusted

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  EDIT BAR 1
(a) Number of Large Domestic Banks That Reported Weaker Commercial and Industrial Loan Demand and Reported That Decreased Customer Inventory Financing Needs Was Not an Important Reason, Number of Responses, Not Seasonally Adjusted (SUBLPDCIRWINLGNQ)
This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

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      EDIT BAR 2
    (a) Number of Large Domestic Banks That Reported Weaker Commercial and Industrial Loan Demand and Reported That Decreased Customer Inventory Financing Needs Was Not an Important Reason, Number of Responses, Not Seasonally Adjusted (SUBLPDCIRWINLGNQ)
    This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD

    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Select...

      Now create a custom formula to combine or transform the series.
      Need help? []

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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       BAR 1: Number of Large Domestic Banks That Reported Weaker Commercial and Industrial Loan Demand and Reported That Decreased Customer Inventory Financing Needs Was Not an Important Reason Vintage: 2024-11-12
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       BAR 2: Number of Large Domestic Banks That Reported Weaker Commercial and Industrial Loan Demand and Reported That Decreased Customer Inventory Financing Needs Was Not an Important Reason Vintage: 2025-02-03
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      NOTES

      Title Release Dates

      2022-11-07 2025-02-03
       
      Source    

      2022-11-07 2025-02-03
       
      Release    

      2022-11-07 2025-02-03
       
      Units    

      2022-11-07 2025-02-03
       
      Frequency    

      2022-11-07 2025-02-03
       
      Seasonal Adjustment    

      2022-11-07 2025-02-03
       
      Notes    

      2022-11-07 2025-02-03

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