59 datasets found
  1. F

    Delinquency Rate on All Loans, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
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    (2025). Delinquency Rate on All Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRALACBN
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    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 (DRALACBN) from Q1 1985 to Q1 2025 about 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
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    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/
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    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. Student loan cohort default rate in the U.S. 2019, by institution type

    • statista.com
    Updated Mar 19, 2025
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    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/
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    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.

  4. U.S. national debt per capita 1990-2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. national debt per capita 1990-2023 [Dataset]. https://www.statista.com/statistics/203064/national-debt-of-the-united-states-per-capita/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the gross federal debt in the United States amounted to around ****** U.S. dollars per capita. This is a moderate increase from the previous year, when the per capita national debt amounted to about ****** U.S. dollars. The total debt accrued by the U.S. annually can be accessed here. Federal debt of the United States The level of national debt held by the United States government has risen sharply in the years following the Great Recession. Federal debt is the amount of debt the federal government owes to creditors who hold assets in the form of debt securities. As with individuals and consumers, there is a common consensus among economists that holding debt is not necessarily problematic for government so long as the public debt is held at a sustainable level. Although there is no agreed upon ratio of debt to gross domestic product, the increasing debt held by the Federal Reserve has become a major part of the political discourse in the United States. Politics and the national debt In recent years, debate over the debt ceiling has been of concern to domestic politicians, the owners of federal debt, and global economy as a whole. The debt ceiling is a legislated maximum amount that national debt can reach intended to impose a degree of fiscal prudence on incumbent governments. However, as national debt has grown the debt ceiling has been reached, thus forcing legislative action by Congress. In both 2011 and 2013, new legislation was passed by Congress allowing the debt ceiling to be raised. The Budget Control Act of 2011 and the No Budget, No Pay Act of 2013 successively allowed the government to avoid defaulting on national debt and therefore avert a potential economic crisis.

  5. F

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

    • fred.stlouisfed.org
    json
    Updated Dec 14, 2022
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    (2022). Number of 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/SUBLPDCIRTDNNQ
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    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 Tightened and Reported That Increase in Defaults by Borrowers in Public Debt Markets Was Not an Important Reason (SUBLPDCIRTDNNQ) from Q3 2000 to Q1 2011 about borrowings, public, debt, domestic, banks, depository institutions, and USA.

  6. A

    Federal Perkins Loan Cohort Default Rates

    • data.amerigeoss.org
    • gimi9.com
    • +2more
    jsp
    Updated Jul 24, 2019
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    United States[old] (2019). Federal Perkins Loan Cohort Default Rates [Dataset]. https://data.amerigeoss.org/id/dataset/federal-perkins-loan-cohort-default-rates-2012
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    jspAvailable download formats
    Dataset updated
    Jul 24, 2019
    Dataset provided by
    United States[old]
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Federal Perkins Loan Cohort Default Rates is a data collection that is part of the Federal Perkins Loan program; the most recent Federal Perkins Loan Cohort Default Rates are available https://ifap.ed.gov/ifap/byAwardYear.jsp?type=perkinscdrguide&display=single. Historical program data is available electronically since 2006 at https://ifap.ed.gov/ifap/byAwardYear.jsp?type=perkinscdrguide&set=archive&display=single. The data collection is conducted using a web-based entry system wherein postsecondary institutions must submit information electronically if they participate in the Federal Perkins Loan program. Key statistics produced from this data collection are the Federal Perkins Loan cohort default rates (previously known as the Orange Book).

  7. United States Loan Officer Survey: DB Other Banks: Somewhat Important

    • ceicdata.com
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    CEICdata.com, United States Loan Officer Survey: DB Other Banks: Somewhat Important [Dataset]. https://www.ceicdata.com/en/united-states/senior-loan-officer-opinion-survey-lending-policies-reason-for-credit-tightening/loan-officer-survey-db-other-banks-somewhat-important
    Explore at:
    Dataset provided by
    CEIC Data
    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

    United States Loan Officer Survey: DB Other Banks: Somewhat Important data was reported at 40.000 % in Apr 2018. This records an increase from the previous number of 20.000 % for Jan 2018. United States Loan Officer Survey: DB Other Banks: Somewhat Important data is updated quarterly, averaging 0.000 % from Jan 2008 (Median) to Apr 2018, with 42 observations. The data reached an all-time high of 66.700 % in Apr 2011 and a record low of 0.000 % in Jul 2017. United States Loan Officer Survey: DB Other Banks: Somewhat 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?

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

    • statista.com
    Updated Jul 11, 2025
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    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/
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    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.

  9. S

    Student Debt Recovery Service Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 9, 2025
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    Market Report Analytics (2025). Student Debt Recovery Service Report [Dataset]. https://www.marketreportanalytics.com/reports/student-debt-recovery-service-72247
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global student debt recovery services market is experiencing robust growth, driven by the increasing burden of student loan debt worldwide and the rising adoption of sophisticated debt recovery techniques. The market, segmented by application (schools, banks, government, non-profits) and service type (tuition fee, living expenses, other education-related debt), is witnessing a compound annual growth rate (CAGR) exceeding 10% – a figure derived from observing similar financial services sectors and considering the persistent issue of student loan defaults. North America currently holds the largest market share, fueled by high student loan debt levels and a well-established debt recovery infrastructure. However, rapid economic growth and expanding access to higher education in regions like Asia-Pacific are creating significant opportunities for market expansion. Key players in this market are leveraging technological advancements, such as AI-powered analytics and automated debt collection systems, to enhance efficiency and recovery rates. Regulations surrounding debt collection practices also play a significant role, impacting market dynamics and influencing the strategies employed by service providers. The ongoing evolution of these regulations necessitates continuous adaptation and compliance for companies operating in this sector. The competitive landscape is characterized by a mix of large, established players and smaller, specialized firms. These companies compete on factors such as recovery rates, technology, regulatory compliance, and client service. While consolidation and acquisitions are likely to shape the industry landscape in the coming years, the focus on providing ethical and legally compliant services remains paramount. Future growth will depend on factors including the overall economic climate, government policies related to student loans and debt recovery, and the ongoing development and adoption of innovative technologies within the sector. The market is expected to witness further diversification of services, catering to the evolving needs of diverse stakeholders across various geographical regions.

  10. United States Loan Officer Survey: DB: Very Important

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Loan Officer Survey: DB: Very Important [Dataset]. https://www.ceicdata.com/en/united-states/senior-loan-officer-opinion-survey-lending-policies-reason-for-credit-tightening/loan-officer-survey-db-very-important
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    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

    United States Loan Officer Survey: DB: Very Important data was reported at 11.100 % in Apr 2018. This records an increase from the previous number of 0.000 % for Jan 2018. United States Loan Officer Survey: DB: Very Important data is updated quarterly, averaging 2.950 % from Jan 2008 (Median) to Apr 2018, with 42 observations. The data reached an all-time high of 25.000 % in Oct 2013 and a record low of 0.000 % in Jan 2018. United States Loan Officer Survey: DB: 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?

  11. United States Loan Officer Survey: DB: Somewhat Important

    • ceicdata.com
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    CEICdata.com, United States Loan Officer Survey: DB: Somewhat Important [Dataset]. https://www.ceicdata.com/en/united-states/senior-loan-officer-opinion-survey-lending-policies-reason-for-credit-tightening/loan-officer-survey-db-somewhat-important
    Explore at:
    Dataset provided by
    CEIC Data
    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

    United States Loan Officer Survey: DB: Somewhat Important data was reported at 22.200 % in Apr 2018. This records an increase from the previous number of 9.100 % for Jan 2018. United States Loan Officer Survey: DB: Somewhat Important data is updated quarterly, averaging 8.250 % from Jan 2008 (Median) to Apr 2018, with 42 observations. The data reached an all-time high of 60.000 % in Apr 2011 and a record low of 0.000 % in Jul 2017. United States Loan Officer Survey: DB: Somewhat 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?

  12. Systimec_And_Banking_Crises

    • kaggle.com
    Updated Jun 1, 2022
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    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.

  13. Quarterly credit card debt in the U.S. 2010-2025

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Quarterly credit card debt in the U.S. 2010-2025 [Dataset]. https://www.statista.com/statistics/245405/total-credit-card-debt-in-the-united-states/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Credit card debt in the United States has been growing at a fast pace between 2021 and 2025. In the fourth quarter of 2024, the overall amount of credit card debt reached its highest value throughout the timeline considered here. COVID-19 had a big impact on the indebtedness of Americans, as credit card debt decreased from *** billion U.S. dollars in the last quarter of 2019 to *** billion U.S. dollars in the first quarter of 2021. What portion of Americans use credit cards? A substantial portion of Americans had at least one credit card in 2025. That year, the penetration rate of credit cards in the United States was ** percent. This number increased by nearly seven percentage points since 2014. The primary factors behind the high utilization of credit cards in the United States are a prevalent culture of convenience, a wide range of reward schemes, and consumer preferences for postponed payments. Which companies dominate the credit card issuing market? In 2024, the leading credit card issuers in the U.S. by volume were JPMorgan Chase & Co. and American Express. Both firms recorded transactions worth over one trillion U.S. dollars that year. Citi and Capital One were the next banks in that ranking, with the transactions made with their credit cards amounting to over half a trillion U.S. dollars that year. Those industry giants, along with other prominent brand names in the industry such as Bank of America, Synchrony Financial, Wells Fargo, and others, dominate the credit card market. Due to their extensive customer base, appealing rewards, and competitive offerings, they have gained a significant market share, making them the preferred choice for consumers.

  14. U

    United States Loan Officer Survey: DB Large Banks: Not Important

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Loan Officer Survey: DB Large Banks: Not Important [Dataset]. https://www.ceicdata.com/en/united-states/senior-loan-officer-opinion-survey-lending-policies-reason-for-credit-tightening/loan-officer-survey-db-large-banks-not-important
    Explore at:
    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

    United States Loan Officer Survey: DB Large Banks: Not Important data was reported at 100.000 % in Apr 2018. This stayed constant from the previous number of 100.000 % for Jan 2018. United States Loan Officer Survey: DB Large Banks: Not Important data is updated quarterly, averaging 92.000 % from Jan 2008 (Median) to Apr 2018, with 40 observations. The data reached an all-time high of 100.000 % in Apr 2018 and a record low of 50.000 % in Apr 2011. United States Loan Officer Survey: DB Large Banks: Not 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?

  15. U

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

    • ceicdata.com
    Updated Mar 29, 2018
    + more versions
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    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?

  16. g

    Replication data for: "Fisher Dynamics" in US Household Debt, 1929-2011

    • datasearch.gesis.org
    • openicpsr.org
    Updated Dec 7, 2019
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    Mason, J. W.; Jayadev, Arjun (2019). Replication data for: "Fisher Dynamics" in US Household Debt, 1929-2011 [Dataset]. http://doi.org/10.3886/E116431V1
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    Dataset updated
    Dec 7, 2019
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Mason, J. W.; Jayadev, Arjun
    Area covered
    United States
    Description

    The evolution of debt-income ratios over time depends on income growth, inflation, and interest rates, independent of any changes in borrowing. We examine the effect of these "Fisher dynamics" on household debt-income ratios in the United States over the period 1929–2011. Adapting a standard decomposition of public debt to household sector debt, we show that these factors explain, in accounting terms, a large fraction of the changes in household debt-income ratios observed historically. More recently, debt defaults have also been important. Changes in household debt-income ratios over time cannot be straightforwardly interpreted as reflecting shifts in the supply and demand of household credit.

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

    • statista.com
    Updated Jun 4, 2025
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    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/
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    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.

  18. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 15, 2019
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    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
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    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.

  19. Average auto loan debt in the U.S. 2023, by generation

    • statista.com
    Updated Jun 25, 2024
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    Fernando de Querol Cumbrera (2024). Average auto loan debt in the U.S. 2023, by generation [Dataset]. https://www.statista.com/topics/1203/personal-debt/
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    Dataset updated
    Jun 25, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Fernando de Querol Cumbrera
    Area covered
    United States
    Description

    In 2023, the generation X was the age group with the highest amount of auto loan debt in the United States. That group had on average a car loan debt of roughly 27,100 U.S. dollars. Meanwhile, the silent generation had the lowest amount of auto loan debt, amounting to approximately 16,050 U.S. dollars.

  20. E

    Educational Debt Recovery Service Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 9, 2025
    + more versions
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    Market Report Analytics (2025). Educational Debt Recovery Service Report [Dataset]. https://www.marketreportanalytics.com/reports/educational-debt-recovery-service-72258
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Educational Debt Recovery Services market is experiencing significant growth, driven by the escalating costs of higher education and the increasing number of student loan defaults globally. The market's expansion is fueled by several factors, including the rising adoption of sophisticated debt recovery technologies, the increasing collaboration between educational institutions and debt collection agencies, and a growing awareness among lenders of the need for efficient debt recovery strategies. While the exact market size in 2025 is unavailable, considering a plausible CAGR of 8% (based on industry averages for similar financial services sectors), and estimating a 2024 market value of $10 billion (a reasonable figure considering the substantial student loan debt globally), the 2025 market size could be approximately $10.8 billion. This figure is projected to grow substantially over the forecast period (2025-2033), driven by continued expansion in higher education enrollment, government regulations aimed at improving debt recovery processes, and the rising prevalence of alternative financing options in education that also contribute to the debt pool. Segmentation within the market reveals robust growth across all educational levels—higher education, vocational education, and basic education—with higher education representing a substantial portion due to higher tuition costs and longer repayment periods. The non-litigation collection segment dominates due to its cost-effectiveness and efficiency. Geographically, North America and Europe are currently leading the market, but significant growth opportunities exist in Asia-Pacific regions driven by rising middle-class populations and increased access to higher education. However, challenges remain, including stringent regulations surrounding debt collection practices, economic downturns impacting repayment capabilities, and the ethical concerns surrounding aggressive debt collection tactics, acting as restraints on market growth. Companies operating within the market are constantly evolving their strategies to enhance recovery rates and manage reputational risks associated with student loan debt recovery.

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(2025). Delinquency Rate on All Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRALACBN

Delinquency Rate on All Loans, All Commercial Banks

DRALACBN

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3 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 All Loans, All Commercial Banks (DRALACBN) from Q1 1985 to Q1 2025 about delinquencies, commercial, loans, banks, depository institutions, rate, and USA.

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