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

I downloaded this dataset from Wikipedia. I was startled when I came across a video to realise that the United States has the highest external debt among world countries. India and Brazil lie at around 20th positions. United Kingdom's external debt is a staggering 273% of their GDP while India's is 19.20 %. Brazil's external debt is 38% of their GDP. The United States' external debt is 96.40 % of their GDP while Japan has 101 % of its GDP as its external debt.

The dataset contains the country names, their external debt, their per capita external debt, the date of entering the data and the external debt as a percentage of their GDP.

The data can be cleaned and can form an excellent use case for LLM based data analytics. The data must be cleaned. The data can be combined with other financial data of the respective countries to form a complete database of financial metrics.

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.

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...

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.

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).

This dataset provides values for PRIVATE 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.

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

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

The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following:

Gross Domestic Product:
Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140].

Gross Disposable Income:
Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145].

Definition of Debt:
Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices.

To view other related indicator datasets, please refer to:
Institutional Investors Indicators [add link]
Household Dashboard [add link]

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

Description

This dataset contains current estimates of world countries based on the External Debt. it is the total public and private debt owed to nonresidents repayable in internationally accepted currencies, goods or services, where the public debt is the money or credit owed by any level of government, from central to local, and the private debt the money or credit owed by private households or private corporations based on the country under consideration.

Attribute Information

• SLNO : Rank of the country based on the Highest External Debt.
• Location : Name of the country.
• External debt (USD) Per capita : External Debt based on the Per Capita of each country.
• External debt (USD) Total : Total External Debt of the country.
• External debt (USD) % of GDP : Percentage of External Debt of the country
• External debt (USD) % of Total Wealth: Percentage of Total External Debt of the country
• Date: Date from when the Data is Available.

Acknowledgements

https://en.wikipedia.org/wiki/List_of_countries_by_external_debt

***Photo by Alexander Grey on Unsplash

Public debt for the Pacific island countries and territories per year.

Find more Pacific data on PDH.stat.

Indonesia Gross Public Financial Corporation Debt: Long Term: More than 1 Year data was reported at 14.963 USD bn in Mar 2019. This records a decrease from the previous number of 19.023 USD bn for Dec 2018. Indonesia Gross Public Financial Corporation Debt: Long Term: More than 1 Year data is updated quarterly, averaging 11.871 USD bn from Mar 2010 (Median) to Mar 2019, with 37 observations. The data reached an all-time high of 19.023 USD bn in Dec 2018 and a record low of 4.705 USD bn in Mar 2010. Indonesia Gross Public Financial Corporation Debt: Long Term: More than 1 Year data remains active status in CEIC and is reported by Directorate General of Budget Financing and Risk Management. The data is categorized under Indonesia Premium Database’s Government and Public Finance – Table ID.FE008: Gross Public Financial Corporation Debt: in USD.

Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q2 2025 about public, debt, federal, government, and USA.

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.

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

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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.

A table that summarizes the amounts outstanding for the securities issued by the Bureau of the Fiscal Service adjusted for Unamortized Discount on Treasury Bills and Zero Coupon Treasury Bonds, Other Debt (old debt issued before 1917 and old currency called United States Notes), Debt held by the Federal Financing Bank and Guaranteed Debt of Government Agencies that makes up the Total Public Debt Subject to Limit amount.

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