51 datasets found
  1. F

    Delinquency Rate on Credit Card Loans, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Delinquency Rate on Credit Card Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCCLACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Delinquency Rate on Credit Card Loans, All Commercial Banks (DRCCLACBS) from Q1 1991 to Q1 2025 about credit cards, delinquencies, commercial, loans, banks, depository institutions, rate, and USA.

  2. Student loan default rate U.S. 2022, by race

    • statista.com
    Updated Jul 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Student loan default rate U.S. 2022, by race [Dataset]. https://www.statista.com/statistics/1450478/student-loan-default-rate-by-race-us/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the student loan default rate in the United States was highest for Black borrowers, at **** percent. In comparison, Asian borrowers were least likely to default on their student loans.

  3. Quarterly credit card loan delinquency rates in the U.S. 1991-2025

    • statista.com
    Updated Jul 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Quarterly credit card loan delinquency rates in the U.S. 1991-2025 [Dataset]. https://www.statista.com/statistics/935115/credit-card-loan-delinquency-rates-usa/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Delinquency rates for credit cards picked up in 2025 in the United States, leading to the highest rates observed since 2008. This is according to a collection of one of the United States' federal banks across all commercial banks. The high delinquency rates were joined by the highest U.S. credit card charge-off rates since the Financial Crisis of 2008. Delinquency rates, or the share of credit card loans overdue a payment for more than ** days, can sometimes lead into charge-off, or a writing off the loan, after about six to 12 months. These figures on the share of credit card balances that are overdue developed significantly between 2021 and 2025: Delinquencies were at their lowest point in 2021 but increased to one of their highest points by 2025. This is reflected in the growing credit card debt in the United States, which reached an all-time high in 2023.

  4. Quarterly delinquency on consumer loans at commercial banks in the U.S....

    • statista.com
    Updated Jun 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Quarterly delinquency on consumer loans at commercial banks in the U.S. 2007-2025 [Dataset]. https://www.statista.com/statistics/1325074/delinquency-rate-on-consumer-loans-at-commercial-banks-in-the-us/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2025, roughly **** percent of all consumer loans at commercial banks in the United States were delinquent. The delinquency rate on this type of credit has been rising again since 2021. Loans are delinquent when the borrower does not pay their obligations on time. One of the reasons for the delinquency rate decreasing during the first years of the COVID-19 pandemic was that the personal saving rate in the U.S. soared during that period. What is the trend in consumer credit levels in the United States? Consumer credit refers to the various types of loans and credit extended to individuals for personal use, often to fund everyday purchases or larger expenses. When credit levels rise, it often signals that consumers are more confident in their ability to manage debt and make future payments. After a period of strong growth between 2021 and early 2023, consumer credit in the United States has been growing at a slower pace. By early 2024, consumer credit levels reached over **** trillion U.S. dollars. What is the main channel for acquiring consumer credit? In 2024, the leading type of consumer credit among consumers in the U.S. was credit card bills. Credit card usage in the North American country was substantial and credit card penetration was expected to reach over **** percent by 2029. Car loans ranked next as a common source of consumer credit, while other types of debt, such as medical bills, home equity lines of credit, and personal educational loans, had lower percentages.

  5. F

    Delinquency Rate on All Loans, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Delinquency Rate on All Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRALACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Delinquency Rate on All Loans, All Commercial Banks (DRALACBS) from Q1 1985 to Q1 2025 about delinquencies, commercial, loans, banks, depository institutions, rate, and USA.

  6. F

    Delinquency Rate on Consumer Loans, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Delinquency Rate on Consumer Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCLACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Delinquency Rate on Consumer Loans, All Commercial Banks (DRCLACBS) from Q1 1987 to Q1 2025 about delinquencies, commercial, loans, consumer, banks, depository institutions, rate, and USA.

  7. Student loan cohort default rate in the U.S. 2019, by institution type

    • statista.com
    Updated Mar 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Student loan cohort default rate in the U.S. 2019, by institution type [Dataset]. https://www.statista.com/statistics/237901/student-loan-default-rates-in-the-us/
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the fiscal year of 2019, around 4.1 percent of students who went to private, for-profit public 2-year institutions in the United States were in default on their loans. The default rate for students in the FY 2019 cohort was 1.9 percent at 4-year degree-granting postsecondary institutions, and 3.8 percent at 2-year degree-granting postsecondary institutions.

  8. F

    Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRSFRMACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

  9. F

    Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland),...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCRELEXFACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks (DRCRELEXFACBS) from Q1 1991 to Q1 2025 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

  10. U.S. opinions on raising the debt ceiling 2023

    • statista.com
    Updated Jul 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. opinions on raising the debt ceiling 2023 [Dataset]. https://www.statista.com/statistics/1366864/opinion-raising-debt-ceiling-us/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 29, 2023 - May 2, 2023
    Area covered
    United States
    Description

    A 2023 survey found that ** percent of Americans do not think that Congress should raise the debt ceiling after the U.S. treasury reached its spending limits in January 2023. The U.S. debt ceiling does not authorize new spending commitments, it simply allows the government to finance existing legal obligations that it has made in the past. If a government does not raise the debt ceiling, the U.S. treasury will default on its debt, and could trigger an economic recession.

  11. T

    United States - Delinquency Rate on Credit Card Loans, All Commercial Banks

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 15, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2019). United States - Delinquency Rate on Credit Card Loans, All Commercial Banks [Dataset]. https://tradingeconomics.com/united-states/delinquency-rate-on-credit-card-loans-all-commercial-banks-fed-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Apr 15, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Delinquency Rate on Credit Card Loans, All Commercial Banks was 3.05% in January of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Credit Card Loans, All Commercial Banks reached a record high of 6.77 in April of 2009 and a record low of 1.53 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Credit Card Loans, All Commercial Banks - last updated from the United States Federal Reserve on July of 2025.

  12. T

    United States - Delinquency Rate on Consumer Loans, All Commercial Banks

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 23, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2019). United States - Delinquency Rate on Consumer Loans, All Commercial Banks [Dataset]. https://tradingeconomics.com/united-states/delinquency-rate-on-consumer-loans-all-commercial-banks-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Sep 23, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Delinquency Rate on Consumer Loans, All Commercial Banks was 2.77% in January of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Consumer Loans, All Commercial Banks reached a record high of 4.85 in April of 2009 and a record low of 1.53 in April of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Consumer Loans, All Commercial Banks - last updated from the United States Federal Reserve on July of 2025.

  13. Depository Institutions: Mortgage and Consumer Loan Portfolios by...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 18, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Board of Governors of the Federal Reserve System (2024). Depository Institutions: Mortgage and Consumer Loan Portfolios by Probability of Default [Dataset]. https://catalog.data.gov/dataset/depository-institutions-mortgage-and-consumer-loan-portfolios-by-probability-of-default
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    These tables provide additional detail on the loan assets of U.S. depository institutions by reporting mortgage and consumer loan portfolios broken down by the banks' estimates of the probability of default, as defined below. This information facilitates analysis of the potential concentration of risk in specific loan categories. The institutions reporting this information are generally those with $10 billion or more of assets.

  14. Consumer credit debt of households and nonprofit organizations in the U.S....

    • statista.com
    Updated Jun 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fernando de Querol Cumbrera (2024). Consumer credit debt of households and nonprofit organizations in the U.S. 2011-2024 [Dataset]. https://www.statista.com/topics/1203/personal-debt/
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Fernando de Querol Cumbrera
    Area covered
    United States
    Description

    As of the third quarter of 2024, the levels of debt from consumer lending in the United States amounted to over five trillion U.S. dollars. The consumer credit debt of households and nonprofit organizations increased steadily in the last decade. Throughout that period, the outstanding consumer credit in the U.S. has also been growing.

  15. F

    Number of Other Domestic Banks That Tightened and Reported That Increase in...

    • fred.stlouisfed.org
    json
    Updated Dec 14, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Number of Other Domestic Banks That Tightened and Reported That Increase in Defaults by Borrowers in Public Debt Markets Was Not an Important Reason [Dataset]. https://fred.stlouisfed.org/series/SUBLPDCIRTDNOTHNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 14, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Number of Other Domestic Banks That Tightened and Reported That Increase in Defaults by Borrowers in Public Debt Markets Was Not an Important Reason (SUBLPDCIRTDNOTHNQ) from Q3 2000 to Q1 2011 about borrowings, public, debt, domestic, banks, depository institutions, and USA.

  16. F

    Number of Domestic Banks That Eased and Reported That Reduction in Defaults...

    • fred.stlouisfed.org
    json
    Updated Dec 14, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Number of Domestic Banks That Eased and Reported That Reduction in Defaults by Borrowers in Public Debt Markets Was a Somewhat Important Reason [Dataset]. https://fred.stlouisfed.org/series/SUBLPDCIREDSNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 14, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Number of Domestic Banks That Eased and Reported That Reduction in Defaults by Borrowers in Public Debt Markets Was a Somewhat Important Reason (SUBLPDCIREDSNQ) from Q3 2000 to Q1 2011 about ease, borrowings, public, debt, domestic, banks, depository institutions, and USA.

  17. Systimec_And_Banking_Crises

    • kaggle.com
    Updated Jun 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mohamed Abd Al-mgyd (2022). Systimec_And_Banking_Crises [Dataset]. https://www.kaggle.com/datasets/mohamedabdalmgyd/systimec-and-banking-crises
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 1, 2022
    Dataset provided by
    Kaggle
    Authors
    Mohamed Abd Al-mgyd
    Description

    (Banking And Systemic Crises)

    prepared by (Mohamed Abd Al-mgyd)

    https://github.com/1145267383/Systemic-And-Banking-Crises

    Dataset

    A)20160923_global_crisis_data:

    https://www.hbs.edu/behavioral-finance-and-financial-stability/data/Pages/global.aspx

    This data was collected over many years by Carmen Reinhart (with her coauthors Ken Rogoff, Christoph Trebesch, and Vincent Reinhart). This data contains the banking crises of 70 countries, from 1800 AD to 2016 AD, with a total of 15,190 records and 16 variables. But the data stabilized after cleaning and adjusting to 8642 records and 17 variables.

    B)Label_Country: This data contains a description of the country whether it's Developing or Developed .

    Variable: Description:

    1-Case: ID Number for Country.

    2-Cc3: ID String for Country.

    3-Country : Name Country.

    4-Year: The date from 1800 to 2016.

    5-Banking_Crisis: Banking problems can often be traced to a decrease the value of banks' assets.

    A) due to a collapse in real estate prices or When the bank asset values decrease substantially . B) if a government stops paying its obligations, this can trigger a sharp decline in value of bonds.

    6-Systemic_Crisis : when many banks in a country are in serious solvency or liquidity problems at the same time—either:

    A) because there are all hits by the same outside shock. B) or because failure in one bank or a group of banks spreads to other banks in the system.

    7-Gold_Standard: The Country have crisis in Gold Standard.

    8-Exch_Usd: Exch local currency in USD, Except exch USD currency in GBP.

    9-Domestic_Debt_In_Default: The Country have domestic debt in default.

    10-Sovereign_External_Debt_1: Default and Restructurings, -Does not include defaults on WWI debt to United States and United Kingdom and post-1975 defaults on Official External Creditors.

    11-Sovereign_External_Debt_2: Default and Restructurings, -Does not include defaults on WWI debt to United States and United Kingdom but includes post-1975 defaults on Official External Creditors.

    12-Gdp_Weighted_Default:GDP Weighted Default for country.

    13-Inflation: Annual percentages of average consumer prices.

    14-Independence: Independence for country.

    15-Currency_Crises: The Country have crisis in Currency.

    16-Inflation_Crises: The Country have crisis in Inflation.

    17-Level_Country: The description of the country whether it's Developing or Developed.

  18. What happens if us defaults on debt? (Forecast)

    • kappasignal.com
    Updated May 8, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KappaSignal (2023). What happens if us defaults on debt? (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/what-happens-if-us-defaults-on-debt.html
    Explore at:
    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Area covered
    United States
    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    What happens if us defaults on debt?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  19. Mortgage delinquency rate in the U.S. 2000-2025, by quarter

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Mortgage delinquency rate in the U.S. 2000-2025, by quarter [Dataset]. https://www.statista.com/statistics/205959/us-mortage-delinquency-rates-since-1990/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up, but remained stable throughout 2024. In the first quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

  20. U

    United States Loan Officer Survey: DB Large Banks: Very Important

    • ceicdata.com
    Updated Mar 29, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). United States Loan Officer Survey: DB Large Banks: Very Important [Dataset]. https://www.ceicdata.com/en/united-states/senior-loan-officer-opinion-survey-lending-policies-reason-for-credit-tightening
    Explore at:
    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2015 - Jan 1, 2018
    Area covered
    United States
    Variables measured
    Loans
    Description

    Loan Officer Survey: DB Large Banks: Very Important data was reported at 0.000 % in Apr 2018. This stayed constant from the previous number of 0.000 % for Jan 2018. Loan Officer Survey: DB Large Banks: Very Important data is updated quarterly, averaging 0.000 % from Jan 2008 (Median) to Apr 2018, with 40 observations. The data reached an all-time high of 20.000 % in Oct 2010 and a record low of 0.000 % in Apr 2018. Loan Officer Survey: DB Large Banks: Very Important data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA041: Senior Loan Officer Opinion Survey: Lending Policies: Reason for Credit Tightening. Senior Loan Officer Survey Questionnaire: If your bank has tightened its credit standards or its terms for C&I loans or credit lines over the past three months, how important have been the increase in borrowers default in debt market for the change?

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2025). Delinquency Rate on Credit Card Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCCLACBS

Delinquency Rate on Credit Card Loans, All Commercial Banks

DRCCLACBS

Explore at:
13 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
May 21, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Delinquency Rate on Credit Card Loans, All Commercial Banks (DRCCLACBS) from Q1 1991 to Q1 2025 about credit cards, delinquencies, commercial, loans, banks, depository institutions, rate, and USA.

Search
Clear search
Close search
Google apps
Main menu