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).

Government Debt Indicators (OECD)

Country-level Measurements of General Government Debt

By OECD [source]

About this dataset

This dataset provides key indicators regarding the general government debt of OECD countries. These figures reflect the fact that an unfortunate portion of a country’s annual budget is allocated to repaying debt, and suggest different levels of financial stability across nations. By examining this data, we can observe fluctuations in public debt levels over time, as well as how various countries compare in terms of their general government debt buckets. Featuring monthly measurements for multiple years, these data points provide valuable insight into how borrowing affects the overall financial landscapes of the countries captured. Additionally, a convenient flag code system separately gauges the data’s accuracy and credibility to ensure that only reliable readings are observed

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How to use the dataset

• This dataset contains indicators on general government debt for OECD members and selected non-members. The indicators included in this dataset are useful in measuring country-level financial stability and understanding the sources of government financing. This dataset is a great resource for researchers, policy makers, and data journalists who are interested in analyzing trends in public finances across countries.

• The data is organized by twelve columns, which include LOCATION, INDICATOR, SUBJECT, MEASURE, FREQUENCY (annual or quarterly), TIME (year), Value (in national currency units where applicable) and Flag Codes which denote the accuracy of a given value’s measurement. To access specific information from this dataset such as a values or locations associated with particular indicators such as “Gross Debt of General Government” one can use the filtering options available to select specific regions that they want to compare against each other. The results page will show multiple graphs where users can export individual numbers or view/download all datasets related to particular subgroups based on their selection criteria. Additionally users can choose to generate tables if they wish to compare numerical results rather than graphical ones since each entry shows details up until 2018 along with values published over various years when available.

• It is important that users take note of any flag codes pertaining these datasets as this indicates why data may have been missing from specific points series entries under certain conditions thus providing additional context that should be good practice for comparative analysis purposes between different countries' results for instance. Finally we recommend that advanced users download directly and read through raw csv files provided at the link contained within this description so as to better understand how variables were recorded upon original entry though always keep current standards corresponding filtering column filter selection into account prior making any graphical comparison output interpretations without confirmation further details from more authoritative sources including national treasuries departments themselves if possible beforehand nature needed since all fields contained were originally filled out just once during collection process associated source year indicated at time entry only after has been approved management group curation following validation our accuracy protocols chosen site lastly once all said taken care creating memorable finalized looks report visualizations done easier all via software programs compatible kaggle now let's get started analyzing!

Research Ideas

• Computing gender-disaggregated government debt levels to reveal systemic imbalances such as gender inequality in government spending.
• Estimating the amount of money spent on infrastructure projects by specific OECD countries over a certain period of time.
• Modeling and predicting future macroeconomic trends in terms of general government debt, for use in investment and financial planning activities

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - **Give appropriate cr...

The World Bank Central Government Debt dataset contains information on the amount of debt owed by central governments in countries around the world. This dataset provides information on the amount of debt owed by central governments.The dataset contains data for more than 130 countries and covers a period of several decades. The data is collected from official government sources, such as national central banks, finance ministries, and debt management offices.

Some potential uses of this dataset include: * Analyzing the relationship between central government debt levels and economic indicators, such as GDP, inflation, and interest rates. * Studying the impact of different types of debt instruments on central government debt levels. * Comparing central government debt levels across different countries and regions. * Forecasting central government debt levels and analyzing the factors that drive changes in debt levels.

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this 2021 database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset contains both national and regional debt statistics captured by over 200 economic indicators. Time series data is available for those indicators from 1970 to 2015 for reporting countries.

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_intl_debt

https://cloud.google.com/bigquery/public-data/world-bank-international-debt

Citation: The World Bank: International Debt Statistics

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @till_indeman from Unplash.

Inspiration

What countries have the largest outstanding debt?

https://cloud.google.com/bigquery/images/outstanding-debt.png" alt="enter image description here"> https://cloud.google.com/bigquery/images/outstanding-debt.png

This dataset provides values for EXTERNAL DEBT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The major foreign holders of U.S. Treasury securities are typically countries and entities that invest heavily in U.S. government debt. As of the latest data, here are some of the top foreign holders:

Japan: Historically, Japan has been the largest holder of U.S. Treasury securities. China: China is another major holder, though its holdings have fluctuated due to various economic and political factors. United Kingdom: The UK is a significant investor in U.S. Treasuries, often ranked among the top holders. Ireland: Ireland holds a substantial amount of U.S. Treasury securities. Luxembourg: Luxembourg is also a notable holder of U.S. Treasuries. Switzerland: Swiss investments in U.S. Treasury securities are considerable. Brazil: Brazil is one of the largest holders in Latin America. Belgium: Belgium, often through its financial institutions, holds a significant amount. Taiwan: Taiwan's central bank and other financial institutions invest heavily in U.S. Treasuries. Hong Kong: Hong Kong maintains substantial holdings in U.S. Treasuries. These rankings can change frequently based on economic conditions, currency reserves, and geopolitical factors. For the most up-to-date information, refer to the U.S. Department of the Treasury's "Major Foreign Holders of Treasury Securities" report.

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Introduction:

This dataset represents top-ranked international public companies according to the level of the debt. International Entities with Largest Debt Loads dataset provides the thorough examination of the debt burden of the major corporations across the globe. Including statistical information within a wide range of industries and areas of operation, the dataset reveals the financial stability and predictability of the risks associated with the major international players. Delve into the system of damage it balances, which includes corporate-bonds and long-term borrowing and uncover the interconnection of the global economy. this dataset is gathered from companies market capital website. below i have given the details of the dataset and columns after that i have given some information about the use cases of this dataset.

About Dataset Columns:

In this dataset, I have provided 6 columns, which are as follows:

1. Rank: It shows the ranking number of the company.
2. Company: It displays the name of the company.
3. Stock Symbol: This column contains the stock symbols of the company.
4. Total Debt (USD): This column provides the total debt of the company in trillion US dollars.
5. Share Price: It contains the share price of the respective company.
6. Company Origin: This column provides the country name of the respective company.

Use Cases of the dataset:

1. Financial Analysis: Analyzing debt-to-equity ratios and debt sustainability is a valid use case for assessing the financial health of companies and making investment decisions.

2. Risk Assessment: Evaluating the debt levels and financial risk exposure of companies across sectors and regions is an appropriate application of this dataset.

3. Market Research: Understanding corporate borrowing trends and debt levels within specific industries and countries aligns with the purpose of this dataset.

4. Benchmarking: Comparing the debt profiles of companies against industry peers to identify outliers or potential opportunities is a valid use case for this dataset.

5. Investor Insights: Gaining insights into how debt levels impact stock prices and investor sentiment is a relevant application of this dataset.

6. Policy Making: Informing policymakers and regulators about the debt landscape of international corporations for regulatory oversight and risk management purposes is a suitable use case for this dataset.

EDI now provides seven daily feeds, timed to international trading cycles at 03:30, 07:00, 09:00, 11:00, 13:00, 15:00, and 17:15 GMT/UTC, giving clients consistent, market-aligned data throughout the day.

The Worldwide Fixed Income (WFI) Service enables you to keep track of new bond issues or changes in terms and conditions for both corporate and government issuances. Data is sourced globally from stock exchanges, central banks, ministries of finance, lead managers, paying, calculation and transfer agents.

The fixed income data service cover 40 event types including redemption, conversion, defaults and contains static data outlining key terms and conditions and call schedules. EDI can provide you with pricing supplements, offering circulars, term sheets and prospectuses for as many securities as possible subject to availability. It covers approximately 30% of the Fixed Income database. Use cases: Bond Issuance Tracking | Portfolio Risk Management | Portfolio Valuation | Investment Management | Market Analysis

With the service you will have access to: -International debt securities in more than 150 countries A broad range of asset types including: -Convertibles -FRNs -Permanent interest bearing shares -Preferred securities -Treasury bills In addition, where possible we can extend both instruments and geographic coverage to fully cover your portfolio.

Originally in the equity space, Exchange Data International (EDI) moved to the Fixed Income arena following an increased demand from clients to add debt instruments to its coverage. As the firm was approached by a major credit rating agency to build a customised fixed income service, it developed its own Fixed Income service providing global coverage of the debt market. New countries and sources are continually researched and added to enhance geographic coverage and increase the volume of securities in the database. The service provides historical data back from 2007.

Asset Classes Fully covered: • Canadian strip packages without underlying • Cash management bills • Certificate of deposit (tenure more than 28 days) • Commercial papers (tenure more than 28 days) • Convertibles • Corporate bonds • Government bonds • Municipal securities • Short-term corporate Bonds • Short-term government Bonds • Strips (parent needed) • Treasury bills

Covered if in portfolio: • Asset-backed securities (ABS) (securities entered with critical fields and just covered for live • client’s portfolio and Canada; offering documents processed for live clients; corporate actions not maintained) • Certificates (just covered for live client’s portfolio) • Mortgage-backed securities (MBS) (securities entered with critical fields and just covered for live client’s portfolio and Canada, offering documents processed for live clients; corporate actions not maintained) • Musharaka Sukuks (securities entered with critical fields and just covered for live client’s Portfolio; offering documents processed for live clients; corporate actions not maintained) • Structured Products • Genussschein (AT, CH and DE) • Mortgage-pass through certificates • Pass-through certificates In addition, EDI provides a comprehensive global Fixed Income Corporate Action/Event service, to compliment the reference data, including security and issuer level events and distributions.

External Debt in Mexico increased to 633750.90 USD Million in the second quarter of 2025 from 618661.90 USD Million in the first quarter of 2025. This dataset provides - Mexico External Debt - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Developing and emerging market economies have increased their debt exposure to China in recent years. Despite its initial promise, many borrowers of Chinese loans face difficulties in meeting these loan obligations. Under what circumstances do Chinese borrowers in debt distress turn to the International Monetary Fund? Our starting point is that Chinese loans are tied into projects that promise to generate sufficient revenue to repay these loans. We expect that governments turn to the IMF for bailout funding when a severe shock erodes the value of the underlying loan collateral, requiring mobilizing revenues and implementing austerity measures. Without alternative financing options, the IMF becomes the most viable option to weather financial distress. We expect governments to accept a `whatever-it-takes' number of loan conditions. Using cross-country time series analysis for up to 162 countries between 2000 and 2018, we show that defaults on Chinese debt trigger IMF programs only when a country experiences a severe adverse shock. Countries tapping the IMF also accept a greater number of loan conditions. From a policy perspective, current financial distress in borrowing countries underscores the urgency to design and deploy targeted governance reform measures beyond program safeguards and loan conditions to mitigate the built-up of macro-financial vulnerabilities, independent of where the money is coming from.

Monthly and long-term Costa Rica Public Debt data: historical series and analyst forecasts curated by FocusEconomics.

Monthly and long-term Mali Public Debt data: historical series and analyst forecasts curated by FocusEconomics.

Formaat: Adobe FlashOmvang: 6,6 MbDuur: 3:14Online beschikbaar: [07-01-2015]Standard YouTube LicenseUploaded on Mar 14, 2011Beschrijving:In a two-part series, Martin Khor addresses issues relating to debt and international trade. Since the debt crisis began in the 1970s, many developing countries have had to agree to new loan conditions imposed on them by the International Monetary Fund (IMF). These conditions, of benefit to many western commercial interests, often prevent national governments from implementing their own key economic, development and environmental policies. Trade liberalization is one such condition. Dr Khor describes the adverse effects a liberal trade agenda can have on these countries, particularly on their farmers and small industries. He argues that developing countries must be given the freedom to adopt policies of their own. Finally, he welcomes the G8's decision to cancel the debt of some 18 countries, but warns that the terms and scope will need careful study.Dit betreft enkel deel 2, deel 1 is opgeslagen als "Kwalitatieve analyse: kunst én kunde - 09. "Martin Khor - Debt in the Developing World—Part One".This is part 2, part 1 is saved as "Kwalitatieve analyse: kunst én kunde - 09. "Martin Khor - Debt in the Developing World—Part One".

Context

WorlWorld Development Indicators sheet is collected to understand various countries and their development score.

Content

I have collected this data from the world data bank by selecting specific countries.

World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially recognized international sources. It presents the most current and accurate global development data available and includes national, regional, and g and global estimates. [Note: Even though Global Development Finance (GDF) is no longer listed in the WDI database name, all external debt and financial flows data continue to be included in WDI. The GDF publication has been renamed International Debt Statistics (IDS) and has its own separate database, as well.

Acknowledgements

Thanks to the World Data Bank for the dataset.

Inspiration

You can work on finding which country is having the highest innovation score or social development score.

Denmark Foreign Direct Investment Income: Outward: USD: Total: US Virgin Islands data was reported at 0.000 USD mn in 2023. This records an increase from the previous number of -0.153 USD mn for 2020. Denmark Foreign Direct Investment Income: Outward: USD: Total: US Virgin Islands data is updated yearly, averaging -0.076 USD mn from Dec 2020 (Median) to 2023, with 2 observations. The data reached an all-time high of 0.000 USD mn in 2023 and a record low of -0.153 USD mn in 2020. Denmark Foreign Direct Investment Income: Outward: USD: Total: US Virgin Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Denmark – Table DK.OECD.FDI: Foreign Direct Investment Income: USD: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) is treated as portfolio investment. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the immediate counterpart country. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Direct Influence/Indirect Control (DIIC) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the resident direct investment enterprise. Statistical unit:Enterprise and Local Enterprise Group combined. Respondents have the opportunity to choose between reporting for one enterprise only or reporting for several enterprises within the same group

External Debt in the United States increased to 28604291 USD Million in the second quarter of 2025 from 28097015 USD Million in the first quarter of 2025. This dataset provides - United States Net International Investment Position - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly and long-term Saudi Arabia Public Debt data: historical series and analyst forecasts curated by FocusEconomics.