Predetermined short-term net drains on foreign currency assets (nominal value), Other predetermined short term net drains on foreign currency assets, More than 1 and up to 3 months (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Auth by country
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...
What the numbers show
Predetermined short-term net drains on foreign currency assets (nominal value), Other predetermined short term net drains on foreign currency assets, More than 1 and up to 3 months (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Auth is currently reported for 48 countries. The highest value is 1.05 billion in Australia; the lowest is -4.72 billion in United Kingdom.
The median across all reporting countries is 0, and the mean is -145.20 million.
Over the past decade 6 countries rose and 8 fell. The largest increase was in Malta (up 91,098.2%), and the largest decrease in United Kingdom (down 204.1%).
Predetermined short-term net drains on foreign currency assets: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 1.05 billion | 2025 | — | volatile |
| 2 | Malta | 9.93 million | 2025 | up 91,098.2% | volatile |
| 3 | Poland | 0 | 2025 | up 100.0% | volatile |
| 3 | Hungary | 0 | 2025 | — | volatile |
| 3 | Iceland | 0 | 2015 | — | flat |
| 3 | Israel | 0 | 2008 | up 100.0% | volatile |
| 3 | Kazakhstan, Republic of | 0 | 2022 | — | flat |
| 3 | Luxembourg | 0 | 2025 | — | flat |
| 3 | Latvia | 0 | 2025 | — | flat |
| 3 | Mexico | 0 | 2025 | — | flat |
| 3 | North Macedonia | 0 | 2025 | — | flat |
| 3 | Netherlands | 0 | 2025 | — | flat |
| 3 | Norway | 0 | 2025 | — | volatile |
| 3 | Ireland | 0 | 2013 | — | flat |
| 3 | Portugal | 0 | 2025 | — | volatile |
| 3 | Paraguay | 0 | 2025 | — | flat |
| 3 | Slovenia | 0 | 2025 | — | flat |
| 3 | Sweden | 0 | 2023 | — | flat |
| 3 | Türkiye | 0 | 2025 | — | volatile |
| 3 | South Africa | 0 | 2016 | down 100.0% | volatile |
| 3 | West Bank and Gaza | 0 | 2020 | — | flat |
| 3 | European Central Bank (ECB) | 0 | 2025 | — | flat |
| 3 | Denmark | 0 | 2025 | — | flat |
| 3 | Belgium | 0 | 2025 | — | flat |
| 3 | Bulgaria | 0 | 2025 | — | flat |
| 3 | Belarus, Republic of | 0 | 2025 | — | flat |
| 3 | Switzerland | 0 | 2025 | down 100.0% | volatile |
| 3 | Chile | 0 | 2025 | — | flat |
| 3 | Colombia | 0 | 2014 | up 100.0% | volatile |
| 3 | Cyprus | 0 | 2022 | up 100.0% | volatile |
| 3 | Czechia | 0 | 2025 | — | flat |
| 3 | Germany | 0 | 2025 | — | flat |
| 3 | Austria | 0 | 2025 | — | volatile |
| 3 | Estonia | 0 | 2025 | — | flat |
| 3 | Finland | 0 | 2025 | — | flat |
| 3 | France | 0 | 2025 | — | volatile |
| 3 | Guatemala | 0 | 2021 | — | volatile |
| 3 | Croatia | 0 | 2025 | — | flat |
| 39 | Armenia, Republic of | -1.56 million | 2022 | down 39.5% | flat |
| 40 | Italy | -8.26 million | 2025 | down 102.4% | volatile |
| 41 | Seychelles | -10.77 million | 2025 | down 156.2% | falling |
| 42 | Mauritius | -14.62 million | 2025 | down 197.5% | volatile |
| 43 | Lithuania | -63.89 million | 2024 | down 31.5% | volatile |
| 44 | Hong Kong Special Administrative Region, People's Republic of China | -149.00 million | 2025 | — | volatile |
| 45 | Argentina | -519.92 million | 2025 | up 81.4% | volatile |
| 46 | Angola | -1.25 billion | 2025 | — | falling |
| 47 | Egypt, Arab Republic of | -1.29 billion | 2025 | — | volatile |
| 48 | United Kingdom | -4.72 billion | 2025 | down 204.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Euro Area (EA) 1.70 million
About this data
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.