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) 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
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) is currently reported for 62 countries. The highest value is 0 in Croatia; the lowest is -63.43 billion in Turkey.
The median across all reporting countries is -1.04 billion, and the mean is -3.01 billion.
Over the past decade 21 countries rose and 33 fell. The largest increase was in Croatia (up 100.0%), and the largest decrease in Ukraine (down 7,604.0%).
Contingent short-term net drains on foreign currency assets (nominal): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Croatia | 0 | 2024 | up 100.0% | volatile |
| 1 | Estonia | 0 | 2025 | — | volatile |
| 1 | Slovenia | 0 | 2025 | up 100.0% | volatile |
| 1 | Israel | 0 | 2014 | — | volatile |
| 1 | Germany | 0 | 2025 | — | volatile |
| 1 | Chile | 0 | 2015 | — | volatile |
| 1 | Latvia | 0 | 2025 | up 100.0% | volatile |
| 1 | Argentina | 0 | 2005 | up 100.0% | volatile |
| 1 | Portugal | 0 | 2025 | — | volatile |
| 22 | Armenia | -62,606 | 2025 | up 24.4% | volatile |
| 23 | Lithuania | -217,740 | 2015 | up 99.1% | volatile |
| 24 | Hungary | -5.99 million | 2025 | up 3.4% | volatile |
| 25 | Russia | -6.72 million | 2009 | — | volatile |
| 26 | Slovakia | -15.00 million | 2008 | up 97.6% | volatile |
| 27 | Bulgaria | -43.71 million | 2025 | up 40.9% | falling |
| 28 | Thailand | -46.49 million | 2025 | up 79.6% | volatile |
| 29 | Namibia | -77.08 million | 2024 | — | rising |
| 30 | Switzerland | -88.39 million | 2025 | up 0.8% | flat |
| 31 | Iceland | -180.85 million | 2025 | up 14.1% | volatile |
| 32 | Denmark | -270.66 million | 2025 | up 37.1% | volatile |
| 33 | Philippines | -276.18 million | 2025 | up 79.2% | rising |
| 34 | Sri Lanka | -278.44 million | 2021 | down 21.6% | falling |
| 35 | Colombia | -404.50 million | 2025 | down 87.6% | rising |
| 36 | Malaysia | -417.03 million | 2025 | down 357.3% | falling |
| 37 | Tunisia | -452.16 million | 2015 | down 4.6% | falling |
| 38 | Spain | -463.06 million | 2011 | down 261.8% | volatile |
| 39 | Jamaica | -675.55 million | 2025 | down 145.4% | falling |
| 40 | Bolivia | -699.31 million | 2020 | down 2.9% | flat |
| 41 | Moldova | -871.38 million | 2025 | down 381.1% | volatile |
| 42 | Jordan | -985.52 million | 2025 | up 9.5% | rising |
| 43 | India | -992.00 million | 2025 | down 38.2% | falling |
| 44 | Nicaragua | -1.09 billion | 2025 | down 36.5% | falling |
| 45 | Belarus | -1.10 billion | 2025 | up 33.6% | volatile |
| 46 | Ukraine | -1.10 billion | 2025 | down 7,604.0% | volatile |
| 47 | North Macedonia | -1.21 billion | 2025 | down 266.1% | falling |
| 48 | South Africa | -1.30 billion | 2025 | down 1,123.6% | volatile |
| 49 | Albania | -1.31 billion | 2025 | down 106.4% | falling |
| 50 | Hong Kong | -1.39 billion | 2025 | down 77.0% | volatile |
| 51 | Angola | -1.54 billion | 2025 | — | rising |
| 52 | Guatemala | -1.67 billion | 2025 | down 141.5% | falling |
| 53 | Paraguay | -1.80 billion | 2025 | down 61.3% | falling |
| 54 | Honduras | -1.83 billion | 2025 | down 115.8% | falling |
| 55 | El Salvador | -1.85 billion | 2025 | down 43.7% | volatile |
| 56 | Mauritius | -2.09 billion | 2025 | down 658.6% | volatile |
| 57 | West Bank and Gaza | -2.13 billion | 2025 | down 186.5% | falling |
| 58 | Georgia | -2.18 billion | 2025 | down 203.4% | volatile |
| 59 | Morocco | -2.53 billion | 2025 | down 74.8% | falling |
| 60 | Kazakhstan | -2.68 billion | 2025 | up 66.3% | volatile |
| 61 | Poland | -3.63 billion | 2025 | down 637.9% | volatile |
| 62 | Serbia | -4.01 billion | 2025 | down 86.3% | falling |
| 63 | Romania | -4.05 billion | 2025 | up 3.0% | volatile |
| 64 | Costa Rica | -4.25 billion | 2025 | down 128.7% | falling |
| 65 | Brazil | -4.57 billion | 2025 | down 91.3% | falling |
| 66 | Indonesia | -4.73 billion | 2025 | up 22.0% | falling |
| 67 | Ecuador | -5.30 billion | 2025 | down 67.1% | falling |
| 68 | Dominican Republic | -5.45 billion | 2025 | down 186.0% | falling |
| 69 | Uruguay | -7.50 billion | 2025 | down 15.2% | falling |
| 70 | Egypt | -8.12 billion | 2025 | down 78.0% | falling |
| 71 | South Korea | -10.04 billion | 2025 | down 14.1% | volatile |
| 72 | Peru | -11.57 billion | 2025 | up 4.6% | volatile |
| 73 | Japan | -13.64 billion | 2025 | down 78.3% | falling |
| 74 | Turkey | -63.43 billion | 2025 | up 14.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
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.