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 EXTERNAL DEBT 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.

Government Debt in the United States increased to 38040094 USD Million in October from 37637553 USD Million in September 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).

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.

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

The United States recorded a Government Debt to GDP of 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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.

Japan recorded a Government Debt to GDP of 236.70 percent of the country's Gross Domestic Product in 2024. This dataset provides the latest reported value for - Japan Government Debt to GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14839888%2Fe58f7ee41cc083183e07a64ca826ed1a%2FGlobal%20Organizations%20Ranked%20by%20Workforce%20Size%20(2).png?generation=1715381651301724&alt=media" alt="">

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.

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

Key information about Greece Government Debt: % of GDP

• Greece Government debt accounted for 158.3 % of the country's Nominal GDP in Sep 2024, compared with the ratio of 160.1 % in the previous quarter.
• Greece government debt to GDP ratio data is updated quarterly, available from Dec 1999 to Sep 2024.
• The data reached an all-time high of 207.4 % in Mar 2021 and a record low of 96.4 % in Sep 2003.

CEIC calculates quarterly Government Debt as % of Nominal GDP from quarterly Government Debt and rolling sum of quarterly Nominal GDP. The Hellenic Statistical Authority provides Government Debt in EUR and Nominal GDP in EUR, based on ESA 2010. Government Debt prior to Q1 2012 is based on ESA 1995.


Related information about Greece Government Debt: % of GDP

• In the latest reports, Greece National Government Debt reached 413.3 USD bn in Sep 2024.
• The country's Nominal GDP reached 57.9 USD bn in Mar 2023.

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

Question 2.1.5a: Does the government publicly disclose the level of national debt?, 2.1.5b: Is the most recent publicly available information on the national debt disaggregated by currency denomination (i.e. foreign or domestic)?

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

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 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]

The schools that create the most student debt

The top 10 schools for student loan debt in the United States

By Andy Kriebel [source]

About this dataset

This dataset contains information on the amount of student loan debt originated by schools in the United States for the 2020-2021 academic year. The data includes the school name, city, state, zip code, school type, loan type, number of recipients, number of loans originated, amount of money loaned, and number of disbursements

How to use the dataset

There are a few things to keep in mind when using this dataset:

• The data is for the 2020-2021 academic year.
• The data is for student loan debt originated by schools in the United States.
• The data is sorted by school.
• The columns of interest are: School, City, State, Zip Code, School Type, Loan Type, Recipients, # of Loans Originated, $ of Loans Originated, # of Disbursements, and $ of Disbursements

Research Ideas

• The dataset can be used to calculate the amount of loan debt originated by each type of school.
• The dataset can be used to calculate the amount of loan debt originated by each state.
• The dataset can be used to help students estimate their future student loan debt

Acknowledgements

The data for this visualization comes from the Common Origination and Disbursement (COD) System through the Department of Education

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 credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Student Loan Debt by School 2020-2021.csv | Column name | Description | |:--------------------------|:-------------------------------------------------| | School | The name of the school. (String) | | City | The city where the school is located. (String) | | State | The state where the school is located. (String) | | Zip Code | The zip code of the school. (String) | | School Type | The type of school. (String) | | Loan Type | The type of loan. (String) | | Recipients | The number of recipients of the loan. (Integer) | | # of Loans Originated | The number of loans originated. (Integer) | | $ of Loans Originated | The amount of money originated in loans. (Float) | | # of Disbursements | The number of disbursements. (Integer) | | $ of Disbursements | The amount of money disbursed. (Float) |

Acknowledgements

If you use this dataset in your research, please credit Andy Kriebel.