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.

Total outstanding debt of the U.S. government reported daily. Includes a breakout of intragovernmental holdings (federal debt held by U.S. government) and debt held by the public (federal debt held by entities outside the U.S. government).

In September 2023, the national debt of the United States had risen up to 33.17 trillion U.S. dollars. The national debt per capita had risen to 85,552 U.S. dollars in 2021. As represented by the statistic above, the public debt of the United States has been continuously rising.

U.S. public debt Public debt, also known as national and governmental debt, is the debt owed by a nations’ central government. In the case of the U.S., national debt is owed by the federal government to Treasury security holders. Generally speaking, government debt increases with government spending, and can be decreased through taxes. During the COVID-19 pandemic, the U.S. government increased spending significantly to finance virus infrastructure, aid, and various forms of economic relief.

International public debt

Venezuela leads the global ranking of the 20 countries with the highest public debt in 2021. In relation to the Gross Domestic Product (GDP), Venezuela's public debt amounted to around 306.95 percent of GDP. Eritrea was ranked fifth, with an estimated debt of 170 percent of the Gross Domestic Product.

The national debt of the United Kingdom is forecasted to grow from 87 percent in 2022 to 70 percent in 2027, in relation to the Gross Domestic Product. These figures include England, Wales, Scotland as well as Northern Ireland.

Greece had the highest national debt among EU countries as of the 4th quarter of 2020 in relation to the Gross Domestic Product. Germany ranked 13th in the EU, with its national debt amounting to 69 percent of GDP in the same time period.

Tuvalu was one of the 20 countries with the lowest national debt in 2021 in relation to the GDP, while Macao had an estimated level of national debt of zero percent, the lowest of any country. The data refer to the debts of the entire state, including the central government, the provinces, municipalities, local authorities and social insurance.

Summarizes the U.S. government's total outstanding debt at the end of each fiscal year from 1789 to the current year.

Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q1 2025 about public, debt, federal, government, and USA.

In October 2024, the public debt of the United States was around 35.46 trillion U.S. dollars, a slight decrease from the previous month. The U.S. public debt ceiling has become one of the most prominent political issues in the States in recent years, with debate over how to handle it causing political turmoil between Democrats and Republicans. The public debt The public debt of the United States has risen quickly since 2000, and in 2022 was more than five times higher than in 2000. The public debt is the total outstanding debt that is owed by the federal government. This figure comprises debt owed to the public (for example, through bonds) and intergovernmental debt (debt owed to various governmental departments), such as Social Security. Debt in Politics The debt issue has become a highly contentious topic within the U.S. government. Measures such as stimulus packages, social programs and tax cuts add to the public debt. Additionally, spending tends to peak during large global events, such as the Great Depression, the 2008 financial crisis, or the COVID-19 pandemic - all of which had a detrimental impact on the U.S. economy. Although both major political parties in the U.S. tend to blame one another for increases in the country's debt, a recent analysis found that both parties have contributed almost equally to national expenditure. Debate on raising the debt ceiling, or the amount of debt the federal government is allowed to have at any one time, was a leading topic in the government shutdown in October 2013. Despite plans from both Democrats and Republicans on how to lower the national debt, it is only expected to increase over the next decade.

Graph and download economic data for Federal government current expenditures: Interest payments (A091RC1Q027SBEA) from Q1 1947 to Q1 2025 about payments, expenditures, federal, government, interest, GDP, and USA.

In 2023, the U.S. government spent a total of 875 billion U.S. dollars on interest of public debt. 497 billion U.S. dollars was on interest for debt held by the public.

The national debt of the United Stated can be found here.

Interest Payments on Government Debt in the United Kingdom decreased to 7613 GBP Million in May from 9133 GBP Million in April of 2025. This dataset includes a chart with historical data for the United Kingdom Interest Payments On Government Debt.

As of October 2024, the United States government has a monthly interest rate of *** percent on its debt, continuing an upward trend in interest rates that began at the beginning of 2022. In April 2024, U.S. debt reached ***** trillion U.S. dollars.

View data of the effective yield of an index of non-investment grade publically issued corporate debt in the U.S.

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

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

What happens if us defaults on debt?

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

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.

Japan's Nikkei Soars to 33-Year High on U.S. Debt Deal, Weak Yen

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

Daily Journal reported $28.62M in Debt for its fiscal quarter ending in September of 2024. Data for Daily Journal | DJCO - Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

In December 2024, the yield on a 10-year U.S. Treasury note was **** percent, forecasted to decrease to reach **** percent by August 2025. Treasury securities are debt instruments used by the government to finance the national debt. Who owns treasury notes? Because the U.S. treasury notes are generally assumed to be a risk-free investment, they are often used by large financial institutions as collateral. Because of this, billions of dollars in treasury securities are traded daily. Other countries also hold U.S. treasury securities, as do U.S. households. Investors and institutions accept the relatively low interest rate because the U.S. Treasury guarantees the investment. Looking into the future Because these notes are so commonly traded, their interest rate also serves as a signal about the market’s expectations of future growth. When markets expect the economy to grow, forecasts for treasury notes will reflect that in a higher interest rate. In fact, one harbinger of recession is an inverted yield curve, when the return on 3-month treasury bills is higher than the ten-year rate. While this does not always lead to a recession, it certainly signals pessimism from financial markets.

Money Supply M2 in the United States increased to 21942 USD Billion in May from 21862.40 USD Billion in April of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The yield on Japan 10Y Bond Yield rose to 1.42% on July 2, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.06 points, though it remains 0.32 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 10 Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Canada 10Y Bond Yield eased to 3.27% on June 30, 2025, marking a 0.03 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.05 points, though it remains 0.34 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Canada 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.