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International Debt Statistics 2018 shows BRICs doubled bilateral lending commitments to low-income countries in 2016 to $84 billion

World Bank Data Team's picture
Also available in: العربية | Français | Español
The 2018 edition of International Debt Statistics (IDS) has just been published.

IDS 2018 presents statistics and analysis on the external debt and financial flows (debt and equity) of the world’s economies for 2016. It provides more than 200 time series indicators from 1970 to 2016 for most reporting countries. To access the report and related products you can:

This year’s edition is released less than 10 months after the 2016 reference period, making comprehensive debt statistics available faster than ever before. In addition to the data published in multiple formats online, IDS includes a concise analysis of the global debt landscape, which will be expanded on in a series of bulletins over the coming year.

Why monitor and analyze debt?

The core purpose of IDS is to measure the stocks and flows of debts in low- and middle-income countries that were borrowed from creditors outside the country. Broadly speaking, stocks of debt are the current liabilities that require payment of principal and/or interest to creditors outside the country. Flows of debt are new payments from, or repayments to, lenders.

These data are produced as part of the World Bank’s own work to monitor the creditworthiness of its clients and are widely used by others for analytical and operational purposes. Recurrent debt crises, including the global financial crisis of 2008, highlight the importance of measuring and monitoring external debt stocks and flows, and managing them sustainably. Here are three highlights from the analysis presented in IDS 2018:

Net financial inflows to low-and middle income countries grew, but IDA countries were left behind

In 2016, net financial flows into low- and middle-income countries grew to $773 billion - a more than three-fold increase over 2015 levels, but still lower than levels seen between 2012 and 2014.

However, this trend didn’t extend to the world’s poorest countries. Among the group of IDA-only countries, these flows fell 34% to $17.6 billion - their lowest level since 2011. This fall was driven by drops in inflows from bilateral and private creditors.

New online resource spotlights debt statistics news and trends

Parul Agarwal's picture
We're thrilled to share the news about our brand new Online Quarterly Bulletin, which features debt statistics news, trends, and events. Laid out in the format of an e-newsletter, this quarter's issue focuses on:
  • Debt statistics products, coverage, and methodologies
  • External debt trends of 2015
  • International debt statistics-related activities and summaries
One area we'd like to highlight is the interconnection of the many types of debt statistics that the World Bank collects, manages, and disseminates.
 
The World Bank collects annual external debt statistics through the World Bank Debt Reporting System (DRS) and publishes it annually in the International Debt Statistics (IDS) publication. This annual data is complemented by our quarterly external and public debt statistics captured through the Quarterly External Debt Statistics (QEDS) database and the Public Sector Debt (PSD) database.  To help illustrate this interconnection, we've created the below graphic.
 


 

DIY: Measuring Global, Regional Poverty Using PovcalNet, the Online Computational Tool behind the World Bank’s Poverty Statistics

Shaohua Chen's picture

World Bank Group President Jim Yong Kim recently announced ambitious goals to end poverty and boost shared prosperity, with a target to reduce the percentage of absolute poor – those living on or less than $1.25 a day (in 2005 PPP) – to 3 percent by 2030. The Bank, he said, will also focus on expanding opportunities for those living at the bottom 40 percent of the income or consumption distribution in each country.

How do we manage revisions to GDP?

Soong Sup Lee's picture

Gross Domestic Product (GDP) estimates are some of the most heavily requested and used data published on data.worldbank.org.  And as many users notice, the estimates are sometimes revised, occasionally  resulting in large changes from previously published values. Why do revisions happen, what information do we publish about those revisions, and where do you find it?