The global financial crisis of recent years and the associated large fiscal deficits and debt levels that have impacted many countries underscores the importance of reliable and timely government statistics and, more broadly, public sector debt as a critical element in countries fiscal and external sustainability. Public Sector Debt Statistics is the first international guide of its kind, and its primary objectives are to improve the quality and timeliness of key debt statistics and promote a convergence of recording practices to foster international comparability and as a reference for national compilers and users for compiling and disseminating these data. Like other statistical guides published by the IMF, this one was prepared in consultation with countries and international agencies, including the nine organizations of the Inter-Agency Task Force on Finance Statistics (TFFS). The guide's preparation was based on the broad range of experience of our institutions and benefitted from consultation with national compilers of government finance and public sector debt statistics. The guide's concepts are harmonized with those of the System of National Accounts (2008) and the Balance of Payments and International Investment Position Manual, Sixth Edition.

This paper describes the compilation of the Global Debt Database (GDD), a cutting-edge dataset covering private and public debt for virtually the entire world (190 countries) dating back to the 1950s. The GDD is the result of a multiyear investigative process that started with the October 2016 Fiscal Monitor, which pioneered the expansion of private debt series to a global sample. It differs from existing datasets in three major ways. First, it takes a fundamentally new approach to compiling historical data. Where most debt datasets either provide long series with a narrow and changing definition of debt or comprehensive debt concepts over a short period, the GDD adopts a multidimensional approach by offering multiple debt series with different coverages, thus ensuring consistency across time. Second, it more than doubles the cross-sectional dimension of existing private debt datasets. Finally, the integrity of the data has been checked through bilateral consultations with officials and IMF country desks of all countries in the sample, setting a higher data quality standard.

International Debt Statistics (IDS), a long-standing annual publication of the World Bank, features external debt statistics and analysis for the 120 low- and middle-income countries that report to the World Bank Debtor Reporting System. IDS 2021 includes (1) an overview analyzing global trends in debt stocks of and debt flows to low- and middle-income countries within the framework of aggregate capital flows (debt and equity); (2) a feature story on the World Bank and International Monetary Fund Debt Service Suspension Initiative in response to the COVID-19 pandemic; (3) tables and charts detailing debtor and creditor composition of debt stock and flows, terms of new commitments, and maturity structure of future debt service payments and debt burdens, measured in relation to gross national income and export earnings for each country; (4) one-page summaries per country, plus global, regional, and income group aggregates showing debt stocks and flows, relevant debt indicators, and metadata for six years (2009 and 2015†“19); and (5) a user guide describing the tables and content, definitions and rationale for the country and income groupings used in the report, data notes, and information about additional resources and comprehensive data sets available to users online. Unique in its coverage of the important trends and issues fundamental to the financing of low- and middle-income countries, IDS 2021 is an indispensable resource for governments, economists, investors, financial consultants, academics, bankers, and the entire development community. For more information on IDS 2021 and related products, please visit the World Bank’s Data Catalog at https://datacatalog.worldbank.org/dataset/international-debt-statistics.

The 2007–09 international financial crisis underscored the importance of reliable and timely statistics on the general government and public sectors. Government finance statistics are a basis for fiscal analysis and they play a vital role in developing and monitoring sound fiscal programs and in conducting surveillance of economic policies. The Government Finance Statistics Manual 2014 represents a major step forward in clarifying the standards for compiling and presenting fiscal statistics and strengthens the worldwide effort to improve public sector reporting and transparency.

An empirical investigation of financial crises during the last 800 years.

The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.

This paper describes the compilation of the first truly comprehensive database on gross government debt-to-GDP ratios, covering nearly the entire IMF membership (174 countries) and spanning an exceptionally long time period. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates. The paper discusses the evolution of debt-to-GDP ratios across country groups for several decades, episodes of debt spikes and reversals, and a pattern of negative correlation between debt and growth.