11 datasets found
  1. T

    United States Government Debt

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 10, 2025
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    TRADING ECONOMICS (2025). United States Government Debt [Dataset]. https://tradingeconomics.com/united-states/government-debt
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 10, 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
    Jan 31, 1942 - May 31, 2025
    Area covered
    United States
    Description

    Government Debt in the United States increased to 36215818 USD Million in May from 36213557 USD Million in April of 2025. This dataset provides - United States Government Debt- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. k

    U.S. Government Closes in on Debt Ceiling Deadline (Forecast)

    • kappasignal.com
    Updated May 27, 2023
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    KappaSignal (2023). U.S. Government Closes in on Debt Ceiling Deadline (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/us-government-closes-in-on-debt-ceiling.html
    Explore at:
    Dataset updated
    May 27, 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.

    U.S. Government Closes in on Debt Ceiling Deadline

    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

  3. The challenges surrounding the US debt ceiling could potentially damage the...

    • kappasignal.com
    Updated May 19, 2023
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    KappaSignal (2023). The challenges surrounding the US debt ceiling could potentially damage the perception of the US dollar as a safe currency and have repercussions on emerging economies. (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/the-challenges-surrounding-us-debt.html
    Explore at:
    Dataset updated
    May 19, 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.

    The challenges surrounding the US debt ceiling could potentially damage the perception of the US dollar as a safe currency and have repercussions on emerging economies.

    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

  4. k

    The Debt Ceiling: A ticking time bomb (Forecast)

    • kappasignal.com
    Updated May 27, 2023
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    KappaSignal (2023). The Debt Ceiling: A ticking time bomb (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/the-debt-ceiling-ticking-time-bomb.html
    Explore at:
    Dataset updated
    May 27, 2023
    Dataset authored and provided by
    KappaSignal
    License

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

    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.

    The Debt Ceiling: A ticking time bomb

    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

  5. T

    Hannon Armstrong Sustnbl Infrstr Cap | HASI - Debt

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Hannon Armstrong Sustnbl Infrstr Cap | HASI - Debt [Dataset]. https://tradingeconomics.com/hasi:us:debt
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 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
    Jan 1, 2000 - Jul 5, 2025
    Area covered
    United States
    Description

    Hannon Armstrong Sustnbl Infrstr Cap reported $4.72B in Debt for its fiscal quarter ending in March of 2025. Data for Hannon Armstrong Sustnbl Infrstr Cap | HASI - Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  6. Debt Ceiling Crisis Averted, but Looms Large in Future (Forecast)

    • kappasignal.com
    Updated May 31, 2023
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    KappaSignal (2023). Debt Ceiling Crisis Averted, but Looms Large in Future (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/debt-ceiling-crisis-averted-but-looms.html
    Explore at:
    Dataset updated
    May 31, 2023
    Dataset authored and provided by
    KappaSignal
    License

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

    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.

    Debt Ceiling Crisis Averted, but Looms Large in Future

    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

  7. T

    Cap Gemini | CAP - Debt

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2024
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    TRADING ECONOMICS (2024). Cap Gemini | CAP - Debt [Dataset]. https://tradingeconomics.com/cap:fp:debt
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 15, 2024
    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, 2000 - Jul 5, 2025
    Area covered
    France
    Description

    Cap Gemini reported EUR6.6B in Debt for its fiscal semester ending in June of 2024. Data for Cap Gemini | CAP - Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  8. g

    CBS News/60 Minutes/Vanity Fair National Poll, December #1, 2012

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
    + more versions
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    CBS News; 60 Minutes; Vanity Fair (2015). CBS News/60 Minutes/Vanity Fair National Poll, December #1, 2012 [Dataset]. http://doi.org/10.3886/ICPSR34667.v1
    Explore at:
    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    CBS News; 60 Minutes; Vanity Fair
    Description

    This poll, the first of two fielded December 2012, is part of a continuing series of monthly surveys that solicits public opinion on a range of political and social issues. Respondents were asked how well Barack Obama was handling the presidency on issues such as foreign policy, the economy, terrorism, taxes, and the budget deficit. Opinions were collected on the progress of the economy, the job market, the performance of Congress, feelings toward Washington, and whether the country was heading in the right direction. The respondents were also asked for their opinions of the Republican and Democratic parties, Barack Obama, John Boehner, Hillary Clinton, and the difficulty in reaching agreements and passing legislation in Congress. Data were collected on tax increases and spending cuts, expectations of the negotiations between the two parties, the preferred plan for reducing the budget deficit, and whether the respondents approved of Congress raising the federal debt ceiling. Respondents were also asked their views about illegal immigrants, ongoing violence in Syria, gun control laws, the recent shooting at Sandy Hook Elementary School and safety of schools, holiday shopping, and New Year's Eve plans. Additional topics included the worst date movie, the least interesting movie, the most difficult job in Hollywood, expected changes to the Oscars broadcast, quintessential actor and actress, and preference of a great movie over a powerful documentary. Demographic information includes sex, age, race, marital status, education level, household income, religious preference, type of residential area (e.g., urban or rural), political party affiliation, political philosophy, voting behavior, whether respondents were registered to vote, and whether respondents thought of themselves as born-again Christians.

  9. Evaluating the United States Credit Rating Amid the Debt Ceiling Debate...

    • kappasignal.com
    Updated May 25, 2023
    Share
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    KappaSignal (2023). Evaluating the United States Credit Rating Amid the Debt Ceiling Debate (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/evaluating-united-states-credit-rating.html
    Explore at:
    Dataset updated
    May 25, 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.

    Evaluating the United States Credit Rating Amid the Debt Ceiling Debate

    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

  10. T

    Hannon Armstrong Sustnbl Infrstr Cap | HASI - Interest Expense On Debt

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2024
    Share
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    TRADING ECONOMICS (2024). Hannon Armstrong Sustnbl Infrstr Cap | HASI - Interest Expense On Debt [Dataset]. https://tradingeconomics.com/hasi:us:interest-expense-on-debt
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Dec 15, 2024
    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, 2000 - Jul 4, 2025
    Area covered
    United States
    Description

    Hannon Armstrong Sustnbl Infrstr Cap reported 180.49M in Interest Expense on Debt for its fiscal quarter ending in December of 2024. Data for Hannon Armstrong Sustnbl Infrstr Cap | HASI - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  11. T

    Cap Gemini | CAP - Interest Expense On Debt

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2024
    Share
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    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2024). Cap Gemini | CAP - Interest Expense On Debt [Dataset]. https://tradingeconomics.com/cap:fp:interest-expense-on-debt
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Jun 15, 2024
    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, 2000 - Jul 5, 2025
    Area covered
    France
    Description

    Cap Gemini reported EUR46M in Interest Expense on Debt for its fiscal semester ending in June of 2024. Data for Cap Gemini | CAP - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS (2025). United States Government Debt [Dataset]. https://tradingeconomics.com/united-states/government-debt

United States Government Debt

United States Government Debt - Historical Dataset (1942-01-31/2025-05-31)

Explore at:
159 scholarly articles cite this dataset (View in Google Scholar)
csv, excel, json, xmlAvailable download formats
Dataset updated
Jun 10, 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
Jan 31, 1942 - May 31, 2025
Area covered
United States
Description

Government Debt in the United States increased to 36215818 USD Million in May from 36213557 USD Million in April of 2025. This dataset provides - United States Government Debt- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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