Malaysia vs Tunisia: Contingent short-term net drains on foreign currency assets (nominal)

Malaysia
-417.03 million
in 2025
Tunisia
-452.16 million
in 2015
Malaysia rank
36th
Tunisia rank
37th

Contingent short-term net drains on foreign currency assets (nominal) over time

  • Malaysia
  • Tunisia
-600.0M-400.0M-200.0M0200020122025

How they compare

Malaysia currently reports -417.03 million against -452.16 million in Tunisia, a difference of 35.13 million.

Across all 15 years both countries report, Malaysia has been ahead every year.

Malaysia ranks 36th and Tunisia ranks 37th of 74 countries.

Malaysia has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Malaysia Tunisia Difference Ahead
2000s -346.22 million -460.44 million 114.22 million Malaysia
2010s -150.78 million -502.40 million 351.62 million Malaysia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher contingent short-term net drains on foreign currency assets (nominal), Malaysia or Tunisia?
Malaysia, at -417.03 million against -452.16 million in Tunisia as of 2025.
What is the difference in contingent short-term net drains on foreign currency assets (nominal) between Malaysia and Tunisia?
35.13 million, with Malaysia ahead.
How many years of comparable data are there for Malaysia and Tunisia?
15 years are reported by both, from 2001 to 2015.
How do Malaysia and Tunisia rank globally for contingent short-term net drains on foreign currency assets (nominal)?
Malaysia ranks 36th and Tunisia ranks 37th of 74 countries.
Where does this data come from?
International Monetary Fund, published as Contingent short-term net drains on foreign currency assets (nominal value), Contingent liabilities (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social Security). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Malaysia vs Tunisia: Contingent short-term net drains on foreign currency assets (nominal). Statizoid, drawing on International Monetary Fund. Retrieved 29 August 2026, from https://debt.statizoid.com/compare/contingent-short-term-net-drains-on-foreign-currency-assets-nominal-value-contingent/malaysia/tunisia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under IMF Terms and Conditions (attribution required); please keep the attribution.

<a href="https://debt.statizoid.com/compare/contingent-short-term-net-drains-on-foreign-currency-assets-nominal-value-contingent/malaysia/tunisia/">Malaysia vs Tunisia: Contingent short-term net drains on foreign currency assets (nominal)</a> — Statizoid

About this data

Indicator
Contingent short-term net drains on foreign currency assets (nominal value), Contingent liabilities (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social Security)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
76 places, 1,352 data points, 1999–2025
Last refreshed

The International Reserves and Foreign Currency Liquidity (IRFCL, or the “Reserves Data Template”) dataset includes data on the amount and composition of countries’ official reserve assets, other foreign currency assets held by monetary authorities and central governments, and short-term foreign currency obligations and related activities of monetary authorities and central governments that can lead to drains on official reserves and other foreign currency assets. This website re-disseminates IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar). Historical data by country are also available. Please note that the re-dissemination of the template data by the Fund does not constitute endorsement of the quality of the data by the Fund.