33 datasets found
  1. T

    United States Debt Balance Credit Cards

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Debt Balance Credit Cards [Dataset]. https://tradingeconomics.com/united-states/debt-balance-credit-cards
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    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
    Mar 31, 2003 - Mar 31, 2025
    Area covered
    United States
    Description

    Debt Balance Credit Cards in the United States decreased to 1.18 Trillion USD in the first quarter of 2025 from 1.21 Trillion USD in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Debt Balance Credit Cards.

  2. 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.

  3. T

    United States Households Debt To GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Households Debt To GDP [Dataset]. https://tradingeconomics.com/united-states/households-debt-to-gdp
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    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
    Dec 31, 1947 - Dec 31, 2024
    Area covered
    United States
    Description

    Households Debt in the United States decreased to 69.20 percent of GDP in the fourth quarter of 2024 from 70.50 percent of GDP in the third quarter of 2024. This dataset provides - United States Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Household Debt by State, County, and MSA

    • catalog.data.gov
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Household Debt by State, County, and MSA [Dataset]. https://catalog.data.gov/dataset/household-debt-by-state-county-and-msa
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    The tables and interactive maps below allow users to explore the ratio of debt to income by state, metropolitan statistical area, and county for each year since 1999. Household debt is calculated from Federal Reserve Bank of New York (FRBNY) Consumer Credit Panel/Equifax Data, and household income is reported by the Bureau of Labor Statistics.

  5. United States Household Debt

    • ceicdata.com
    Updated Feb 27, 2025
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    CEICdata.com (2025). United States Household Debt [Dataset]. https://www.ceicdata.com/en/indicator/united-states/household-debt
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    Dataset updated
    Feb 27, 2025
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about United States Household Debt

    • United States Household Debt reached 18,036.0 USD bn in Dec 2024, compared with the reported number of 17,943.0 USD bn in the previous quarter
    • US Household Debt: USD mn data is updated quarterly, available from Mar 1999 to Dec 2024
    • The data reached an all-time high of 18,036.0 USD bn in Dec 2024 and a record low of 4,540.0 USD bn in Mar 1999

    Federal Reserve Board of New York provides quarterly Household Debt in USD. Household Debt includes Mortgages, Home Equity Revolving, Auto Loans, Bankcards, Student Loans and Others.


    Further information about United States Household Debt

    • In the latest reports, United States Household Debt accounted for 61.7 % of the country's Nominal GDP in Dec 2024
    • Money Supply M2 in United States increased 21,533.8 USD bn YoY in Dec 2024
    • United States Foreign Exchange Reserves was measured at 34.9 USD bn in Dec 2024
    • The Foreign Exchange Reserves equaled 0.1 Months of Import in Dec 2024
    • United States Domestic Credit reached 30,648.3 USD bn in Mar 2024, representing an drop of 0.3 % YoY

  6. T

    United States Consumer Credit Change

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). United States Consumer Credit Change [Dataset]. https://tradingeconomics.com/united-states/consumer-credit
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 6, 2025
    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
    Feb 28, 1943 - Apr 30, 2025
    Area covered
    United States
    Description

    Consumer Credit in the United States increased to 17.87 USD Billion in April from 8.60 USD Billion in March of 2025. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. Credit Card Debt Consolidated

    • data.wu.ac.at
    csv, json, xml
    Updated Oct 7, 2016
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    World Bank Group (2016). Credit Card Debt Consolidated [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/YWk3Yy0yZnBo
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 7, 2016
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    http://debtpro.co/credit-card-debt-consolidation-bad-credit/ The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.

  8. F

    Delinquency Rate on Credit Card Loans, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
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    (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.

  9. A

    ‘🪧 U.S. Presidents and Debt’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘🪧 U.S. Presidents and Debt’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-u-s-presidents-and-debt-2276/b7df1225/?iid=004-515&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    United States
    Description

    Analysis of ‘🪧 U.S. Presidents and Debt’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/u-s-presidents-and-debte on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    All U.S. presidents since WWII and their impact on the U.S. debt

    This dataset lists each president's impact on the U.S. debt since World War II to the present (2016), starting with Harry S. Truman to Barack Obama. The data is presented in two different ways:

    • By President - inclusive of all terms served
      • Lists the term debt increase percentage
    • Annual breakdown - from 1949 to 2016
      • Lists the annual debt increase percentage

    The data also includes some meta information such as the term periods and lifespan, age, and party of each president.

    Source

    This dataset was created by Kevin Nayar and contains around 0 samples along with Party, Date Died, technical information and other features such as: - Age - Party - and more.

    How to use this dataset

    • Analyze Date Died in relation to Age
    • Study the influence of Party on Date Died
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Kevin Nayar

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  10. t

    Guaranteed and Direct Loan Financing, Net Activity

    • fiscaldata.treasury.gov
    Updated Jul 13, 2020
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    (2020). Guaranteed and Direct Loan Financing, Net Activity [Dataset]. https://fiscaldata.treasury.gov/datasets/monthly-treasury-statement/
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    Dataset updated
    Jul 13, 2020
    Description

    This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of all direct and guaranteed loan financing for federal credit programs under the Credit Reform Act of 1990. Guaranteed loan financing is issuing any debt obligation with a guarantee, insurance, or other pledge that payment of all or a part of the principal or interest will be made to the lender. This table applies to lending to non-federal borrowers by non-federal lenders that carries some form of guarantee by the federal government. Exceptions include the insurance of deposits, shares, or other withdrawable accounts in financial institutions. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

  11. Credit Card Loan Analysis

    • data.wu.ac.at
    csv, json, xml
    Updated Dec 12, 2016
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    World Bank Group (2016). Credit Card Loan Analysis [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/cTd1ci1lZHR0
    Explore at:
    csv, json, xmlAvailable download formats
    Dataset updated
    Dec 12, 2016
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    credit card relief - (source) - The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.

    Thanks redgage

  12. Survey of Consumer Finances 2019

    • kaggle.com
    Updated Nov 5, 2024
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    Zaid Ullah (2024). Survey of Consumer Finances 2019 [Dataset]. https://www.kaggle.com/datasets/syntheticprogrammer/survey-of-consumer-finances-2022
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 5, 2024
    Dataset provided by
    Kaggle
    Authors
    Zaid Ullah
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The Survey of Consumer Finances (SCF) dataset, provided by the Federal Reserve, offers comprehensive insights into the financial condition of U.S. households. This dataset is invaluable for researchers, policymakers, and analysts interested in understanding consumer behavior, wealth distribution, and economic trends in the United States.

    The SCF dataset includes detailed information on household income, assets, liabilities, and various demographic characteristics. It is collected every three years and serves as a crucial resource for analyzing the financial well-being of American families.

    Key Features: Income Data: Information on various sources of income, including wages, investments, and government assistance. Asset Ownership: Detailed accounts of household assets, such as real estate, retirement accounts, stocks, and other investments. Liabilities:Comprehensive details on household debts, including mortgages, credit card debts, and student loans. Demographics: Data covering age, education, race, and family structure, allowing for nuanced analysis of financial trends across different segments of the population.

    Use Cases: Economic research and analysis, Policy formulation and assessment, Understanding wealth inequality, Consumer behavior studies

    Citing the Dataset:

    When using this dataset in your research, please ensure to cite the Federal Reserve Board and the SCF as the original source.

    Note: The dataset is intended for educational and research purposes. Users are encouraged to adhere to ethical guidelines when analyzing and interpreting the data.

  13. T

    United States Private Debt to GDP

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Private Debt to GDP [Dataset]. https://tradingeconomics.com/united-states/private-debt-to-gdp
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    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
    Dec 31, 1995 - Dec 31, 2024
    Area covered
    United States
    Description

    Private Debt to GDP in the United States decreased to 142 percent in 2024 from 147.50 percent in 2023. United States Private Debt to GDP - values, historical data, forecasts and news - updated on July of 2025.

  14. T

    United States Debt Balance Total

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 13, 2025
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    TRADING ECONOMICS (2025). United States Debt Balance Total [Dataset]. https://tradingeconomics.com/united-states/debt-balance-total
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    May 13, 2025
    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
    Mar 31, 2003 - Mar 31, 2025
    Area covered
    United States
    Description

    Debt Balance Total in the United States increased to 18.20 USD Trillion in the first quarter of 2025 from 18.04 USD Trillion in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Debt Balance Total.

  15. Credit Bureaus & Rating Agencies in the US - Market Research Report...

    • ibisworld.com
    Updated Dec 15, 2024
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    IBISWorld (2024). Credit Bureaus & Rating Agencies in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/credit-bureaus-rating-agencies-industry/
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United States
    Description

    Credit bureaus and rating agencies in the US have experienced notable growth in recent years due to heightened demand for information. The reliance on data analytics has driven increased interest in these services, which provide vital information on creditworthiness for both individuals and businesses. This has been particularly significant as businesses and individuals seek to make well-informed financial decisions. Despite challenges related to the pandemic, inflation and high interest rates, the industry has thrived and profit has soared, indicating its resilience and the critical nature of the services it offers in a data-driven economy. While long-term demand for information has buoyed the industry, providers’ trajectory has been influenced by broader economic conditions, notably equity market fluctuations. The industry weathered initial pandemic-related disruptions, which precipitated a sharp fall in stock prices and corporate profit. Nonetheless, rapid fiscal and monetary responses bolstered investor confidence and led to a robust rebound in equity markets, contributing to massive revenue growth in 2020 and 2021. Soaring interest rates in 2022 and 2023 boosted recessionary fears among investors, hindering demand for equities, reducing stock prices and thus contributing to a major drop in revenue in 2022. These effects have percolated into the real economy as consumer and business borrowing has slowed, constraining aggregate household debt and corporate debt. These effects have negatively impacted the industry in 2023 and 2024, though a rebound in the stock market has prevented a major collapse in revenue. Overall, revenue for credit bureaus and rating agencies in the US is anticipated to soar at a CAGR of 4.3% over the past five years, reaching $16.4 billion in 2024. This includes a 1.3% drop in revenue in that year. Looking ahead, credit bureaus and rating agencies will face a more tempered growth trajectory over the next five years. The broad adoption of online services and data analytics has led to market saturation, reducing opportunities for exponential revenue growth. Nonetheless, stable economic growth and business formation should sustain a steady demand for credit reporting and rating services. The predicted slower growth in equity prices will moderate financial institutions' borrowing capacity, which will also contribute to the slowdown in revenue growth. Overall, revenue for credit bureaus and rating agencies in the United States is forecast to inch upward at a CAGR of 1.1% over the next five years, reaching $17.4 billion in 2029.

  16. China loan and credit administration debt

    • data.wu.ac.at
    csv, json, xml
    Updated Oct 14, 2013
    + more versions
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    World Bank (2013). China loan and credit administration debt [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/cnY1OS1hcnIz
    Explore at:
    csv, json, xmlAvailable download formats
    Dataset updated
    Oct 14, 2013
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the IDA Statement of Credits and Grants.

  17. A

    ‘Corporate Credit Rating’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Corporate Credit Rating’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-corporate-credit-rating-7978/a5465968/?iid=023-805&v=presentation
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Corporate Credit Rating’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/agewerc/corporate-credit-rating on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    A corporate credit rating expresses the ability of a firm to repay its debt to creditors. Credit rating agencies are the entities responsible to make the assessment and give a verdict. When a big corporation from the US or anywhere in the world wants to issue a new bond it hires a credit agency to make an assessment so that investors can know how trustworthy is the company. The assessment is based especially in the financials indicators that come from the balance sheet. Some of the most important agencies in the world are Moodys, Fitch and Standard and Poors.

    Content

    A list of 2029 credit ratings issued by major agencies such as Standard and Poors to big US firms (traded on NYSE or Nasdaq) from 2010 to 2016. There are 30 features for every company of which 25 are financial indicators. They can be divided in:

    • Liquidity Measurement Ratios: currentRatio, quickRatio, cashRatio, daysOfSalesOutstanding
    • Profitability Indicator Ratios: grossProfitMargin, operatingProfitMargin, pretaxProfitMargin, netProfitMargin, effectiveTaxRate, returnOnAssets, returnOnEquity, returnOnCapitalEmployed
    • Debt Ratios: debtRatio, debtEquityRatio Operating Performance Ratios:` assetTurnover
    • Cash Flow Indicator Ratios: operatingCashFlowPerShare, freeCashFlowPerShare, cashPerShare, operatingCashFlowSalesRatio, freeCashFlowOperatingCashFlowRatio

    For more information about financial indicators visit: https://financialmodelingprep.com/market-indexes-major-markets The additional features are Name, Symbol (for trading), Rating Agency Name, Date and Sector.

    The dataset is unbalanced, here is the frequency of ratings: - AAA: 7 - AA: 89 - A: 398 - BBB: 671 - BB: 490 - B: 302 - CCC: 64 - CC: 5 - C: 2 - D: 1

    Acknowledgements

    This dataset was possible thanks to financialmodelingprep and opendatasoft - the sources of the data. To see how the data was integrated and reshaped check here.

    Inspiration

    Is it possible to forecast the rating an agency will give to a company based on its financials?

    --- Original source retains full ownership of the source dataset ---

  18. o

    IDA Credit and Grants Guinea - Dataset - openAFRICA

    • open.africa
    Updated Mar 19, 2013
    + more versions
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    (2013). IDA Credit and Grants Guinea - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/ida-credit-and-grants-guinea
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    Dataset updated
    Mar 19, 2013
    Description

    The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the IDA Statement of Credits and Grants. The World Bank complies with all sanctions applicable to World Bank transactions.

  19. d

    NYC Independent Budget Office (IBO) Debt Outstanding Since FY 2000

    • catalog.data.gov
    • data.cityofnewyork.us
    • +2more
    Updated Sep 2, 2023
    + more versions
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    data.cityofnewyork.us (2023). NYC Independent Budget Office (IBO) Debt Outstanding Since FY 2000 [Dataset]. https://catalog.data.gov/dataset/nyc-independent-budget-office-ibo-debt-outstanding-since-fy-2000
    Explore at:
    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    Amount of debt outstanding as of June 30 of each year. SOURCES: IBO; New York City Comprehensive Annual Financial Report of the Comptroller (various years); Annual Report of the Comptroller on Capital Debt and Obligations (various years); New York City Municipal Water Finance Authority Comprehensive Annual Financial Reports (various years) NOTES: 1In determining what to include as outstanding debt of the City of New York, IBO considered: (1) the city's obligation (contractual and moral) to repay the debt, (2) whether the revenues pledged toward the repayment of the debt would have otherwise accrued to the city, and (3) whether the proceeds of the debt issuance accrue directly to the city. 2GO debt is net of bonds held for debt service on other city-related obligations, referred to in the Comptroller's Comprehensive Annual Financial Report (CAFR) as Treasury Obligations. The 2000–2002 CAFRs show outstanding general obligation debt, before Treasury Obligations, in 2000 and 2001 as $26,892 million and $26,836 million, respectively. However, CAFRs from 2003 on show higher GO debt for the two years, $353 million more for 2000 and $311 million more for 2001; the 2003 CAFR does not provide a note explaining the revisions. IBO uses the numbers reported from 2003 forward. 3Fiscal years 2000, 2002, and 2003 include short-term bond anticipation notes outstanding at year-end of $515 million, $2.2 billion, and $1.1 billion, respectively. 4For fiscal year 2000, Capital Lease Obligations to HHC and PCDC are reported jointly. 5In FY 2008, JSDC bonds outstanding were redeemed with GO bond proceeds, resulting in the elimination of JSDC debt, a reduction in conduit debt outstanding and partially accounting for the increase in GO debt from 2007 to 2008 General Obligation: General obligation bonds are backed by the full faith and credit of the city. City property tax collections are pledged first to pay the principal and interest on these bonds. Treasury Obligations: Treasury obligations are New York City bonds held as investments by the city or by the related entities covered here, including MAC and SFC. They are netted out in order to avoid double counting of the city's obligations. Transitional Finance Authority: Created in 1997, the Transitional Finance Authority (TFA) is a separate legal entity from the City of New York. TFA General Purpose Bonds are secured by the city's collections of personal income tax and, if necessary, sales tax. Recovery Bonds, issued in response to the events of September 11, 2001 differ from general purpose bonds in that they are excluded from the calculation of outstanding TFA debt allowed under the debt limit. TFA Building Aid Revenue Bonds: In fiscal year 2006, the city was authorized by the state Legislature to assign to the TFA all or any portion of the state building aid payable to the city or its school district. The TFA in turn is authorized to issue bonds secured by the aid and dedicated to financing a portion of the city's educational facilities capital plan. TSASC: TSASC Inc. (formerly known as the Tobacco Settlement Asset Securitization Corporation) is a separate legal entity from the City of New York. TSASC bonds are secured by the corporation's purchase from the city of the future revenue stream under a settlement agreement resolving cigarette smoking-related litigation between the settling states and participating manufacturers. Municipal Assistance Corporation for the City of New York: The Municipal Assistance Corporation (MAC) was a separate legal entity from the City of New York, created in 1975 and formally dissolved in 2008. With New York City experiencing a severe fiscal crisis in 1975, MAC allowed the city continued access to credit markets and assisted in the prevention of a default of city general obligation bonds. MAC bonds were secured by state collections of

  20. Shark Tank US Dataset (1274, 48)

    • kaggle.com
    Updated Jul 1, 2024
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    Suvradeep (2024). Shark Tank US Dataset (1274, 48) [Dataset]. https://www.kaggle.com/datasets/suvroo/shark-tank-us-dataset-1274-48
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Suvradeep
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Shark Tank US Dataset Description

    This dataset provides comprehensive information about the American business reality television series, Shark Tank, covering seasons 1 to 14. The dataset includes 50 fields/columns and over 1260 records, capturing various details about each episode, pitch, and deal made on the show. Below is a detailed description of the columns included in the dataset:

    Columns and Descriptions

    • Season Number: The number of the season.
    • Episode Number: The episode number within the season.
    • Pitch Number: The overall pitch number.
    • Original Air Date: The original or first aired date of the episode.
    • Startup Name: The name of the startup company.
    • Industry: The industry name or type.
    • Business Description: A brief description of the business.
    • Pitchers Gender: The gender of the pitchers.
    • Pitchers City: The US city where the pitchers are from.
    • Pitchers State: The US state or country of the pitchers, represented by a two-letter shortcut.
    • Pitchers Average Age: The average age of all pitchers, categorized as <30 (young), 30-50 (middle), or >50 (old).
    • Entrepreneur Names: The names of the pitchers.
    • Company Website: The website of the startup or company.
    • Multiple Entrepreneurs: Indicates whether there are multiple entrepreneurs (1 for yes, 0 for no).
    • US Viewership: The viewership in the US, TRP rating, in millions.
    • Original Ask Amount: The original ask amount in USD.
    • Original Offered Equity: The original offered equity in percentages.
    • Valuation Requested: The valuation requested in USD.
    • Got Deal: Indicates whether the deal was secured (1 for yes, 0 for no).
    • Total Deal Amount: The total deal amount in USD.
    • Total Deal Equity: The total deal equity in percentages.
    • Deal Valuation: The deal valuation in USD.
    • Number of sharks in deal: The number of sharks involved in the deal.
    • Investment Amount Per Shark: The investment amount per shark.
    • Equity Per Shark: The equity received by each shark.
    • Royalty Deal: Indicates whether it is a royalty deal or a deal with advisory shares.
    • Loan: The loan or debt (line of credit) amount given by sharks, in USD.
    • Barbara Corcoran Investment Amount: The amount invested by Barbara Corcoran.
    • Barbara Corcoran Investment Equity: The equity received by Barbara Corcoran.
    • Mark Cuban Investment Amount: The amount invested by Mark Cuban.
    • Mark Cuban Investment Equity: The equity received by Mark Cuban.
    • Lori Greiner Investment Amount: The amount invested by Lori Greiner.
    • Lori Greiner Investment Equity: The equity received by Lori Greiner.
    • Robert Herjavec Investment Amount: The amount invested by Robert Herjavec.
    • Robert Herjavec Investment Equity: The equity received by Robert Herjavec.
    • Daymond John Investment Amount: The amount invested by Daymond John.
    • Daymond John Investment Equity: The equity received by Daymond John.
    • Kevin O'Leary Investment Amount: The amount invested by Kevin O'Leary.
    • Kevin O'Leary Investment Equity: The equity received by Kevin O'Leary.
    • Guest Investment Amount: The amount invested by guest sharks.
    • Guest Investment Equity: The equity received by guest sharks.
    • Guest Name: The name of the guest shark.
    • Barbara Corcoran Present: Indicates whether Barbara Corcoran is present in the episode.
    • Mark Cuban Present: Indicates whether Mark Cuban is present in the episode.
    • Lori Greiner Present: Indicates whether Lori Greiner is present in the episode.
    • Robert Herjavec Present: Indicates whether Robert Herjavec is present in the episode.
    • Daymond John Present: Indicates whether Daymond John is present in the episode.
    • Kevin O'Leary Present: Indicates whether Kevin O'Leary is present in the episode.

    This dataset provides a rich source of information for analyzing the trends, investments, and outcomes of pitches on Shark Tank.

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TRADING ECONOMICS, United States Debt Balance Credit Cards [Dataset]. https://tradingeconomics.com/united-states/debt-balance-credit-cards

United States Debt Balance Credit Cards

United States Debt Balance Credit Cards - Historical Dataset (2003-03-31/2025-03-31)

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excel, xml, csv, jsonAvailable download formats
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
Mar 31, 2003 - Mar 31, 2025
Area covered
United States
Description

Debt Balance Credit Cards in the United States decreased to 1.18 Trillion USD in the first quarter of 2025 from 1.21 Trillion USD in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Debt Balance Credit Cards.

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