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The Debt Statistics website is your one-stop-shop for all things related to the World Bank's debt statistics including data, blogs and news, methodologies, and publications. Content is frequently updated, so stop by often for the latest information.

Search for time-series data using . To view a specific indicator online, you can browse the  under External Debt or use the url  and the indicator . For example,  will display a page which provides the total external debt stock for countries, the metadata and sources behind the data, data download options, and related indicators.

Access the databases in  to query and analyze time and series data and use the visualization tools to generate, download, and embed tables, charts, and maps.

Download bulk files through the World Bank's page. In addition, archived versions of the IDS database are available from 1989 and onwards through the Database archives (available at bottom of Annual Publications).

Explore debt data through the World Bank's . Visit our  for several step-by-step guides for beginners in both Python and R.

Browse the online statistical tables to see curated data across countries by topic and indicator, and download formatted tables in Excel and PDF form for printing.

ľ¹ÏÓ°Ôº debt statistics are compiled and disseminated using the concepts and definitions of the latest international standards. Read the latest guide on Data Sources and Methodology. Learn about the data methodology used to compile these databases. In addition, you can explore the additional data sources often used for comparison.

Browse our annual and quarterly publications, including the latest International Debt Report (IDR) publication and the quarterly Debt Report. This page also features our new initiatives, such as Domestic Debt, and resources to help users better understand debt statistics and the World Bank's work on debt transparency.

ľ¹ÏÓ°Ôº's Debt Statistics are compiled by the Debt Data Team in the World Bank's Development Data Group. If you can't find what you're looking for through this guide or on the FAQ, you can email us for data questions and feedback.