3 datasets found
  1. T

    United States Debt Balance Credit Cards

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). 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 updated
    Sep 15, 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 - Sep 30, 2025
    Area covered
    United States
    Description

    Debt Balance Credit Cards in the United States increased to 1.23 Trillion USD in the third quarter of 2025 from 1.21 Trillion USD in the second quarter of 2025. This dataset includes a chart with historical data for the United States Debt Balance Credit Cards.

  2. Multi-Class Classification Problem

    • kaggle.com
    zip
    Updated Apr 14, 2023
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    Sudhanshu Rastogi (2023). Multi-Class Classification Problem [Dataset]. https://www.kaggle.com/datasets/sudhanshu2198/processed-data-credit-score
    Explore at:
    zip(4317766 bytes)Available download formats
    Dataset updated
    Apr 14, 2023
    Authors
    Sudhanshu Rastogi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Problem Statement You are working as a data scientist in a global finance company. Over the years, the company has collected basic bank details and gathered a lot of credit-related information. The management wants to build an intelligent system to segregate the people into credit score brackets to reduce the manual efforts.

    Task Given a person’s credit-related information, build a machine learning model that can classify the credit score.

    • Age: Represents the age of the person
    • Annual_Income: Represents the annual income of the person
    • Monthly_Inhand_Salary: Represents the monthly base salary of a person
    • Num_Bank_Accounts:Represents the number of bank accounts a person holds
    • Num_Credit_Card: Represents the number of other credit cards held by a person
    • Interest_Rate: Represents the interest rate on credit card
    • Num_of_Loan: Represents the number of loans taken from the bank
    • Delay_from_due_date: Represents the average number of days delayed from the payment date
    • Num_of_Delayed_Payment: Represents the average number of payments delayed by a person
    • Changed_Credit_Limit: Represents the percentage change in credit card limit
    • Num_Credit_Inquiries: Represents the number of credit card inquiries
    • Credit_Mix: Represents the classification of the mix of credits
    • Outstanding_Debt: Represents the remaining debt to be paid (in USD)
    • Credit_Utilization_Ratio: Represents the utilization ratio of credit card
    • Credit_History_Age: Represents the age of credit history of the person
    • Payment_of_Min_Amount: Represents whether only the minimum amount was paid by the person
    • Total_EMI_per_month: Represents the monthly EMI payments (in USD)
    • Amount_invested_monthly: Represents the monthly amount invested by the customer (in USD)
    • Monthly_Balance: Represents the monthly balance amount of the customer (in USD)
    • Credit_Score: Represents the bracket of credit score (Poor, Standard, Good)

  3. Survey of Consumer Finances

    • federalreserve.gov
    Updated Oct 18, 2023
    + more versions
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    Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
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    Unique identifier
    https://doi.org/10.17016/8799
    Dataset updated
    Oct 18, 2023
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Federal Reserve Board of Governors
    Authors
    Board of Governors of the Federal Reserve Board
    Time period covered
    1962 - 2023
    Description

    The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). 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 (2003-03-31/2025-09-30)

Explore at:
excel, xml, csv, jsonAvailable download formats
Dataset updated
Sep 15, 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 - Sep 30, 2025
Area covered
United States
Description

Debt Balance Credit Cards in the United States increased to 1.23 Trillion USD in the third quarter of 2025 from 1.21 Trillion USD in the second quarter of 2025. This dataset includes a chart with historical data for the United States Debt Balance Credit Cards.

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