Predetermined short-term net drains on foreign currency assets (nominal value), Forwards and futures in foreign currencies vis-s-vis the domestic currency (including the forward leg of currency swaps), Up to 1 month, Short positions (International Reserves and Foreign Currency Liquidity: Guidelines 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), Forwards and futures in foreign currencies vis-s-vis the domestic currency (including the forward leg of currency swaps), Up to 1 month, Short positions (International Reserves and Foreign Currency Liquidity: Guidelines is currently reported for 60 countries. The highest value is 0 in France; the lowest is -20.26 billion in India.
The median across all reporting countries is -7.06 million, and the mean is -1.41 billion.
Over the past decade 22 countries rose and 16 fell. The largest increase was in France (up 100.0%), and the largest decrease in Finland (down 141,966.0%).
Predetermined short-term net drains on foreign currency assets: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | France | 0 | 2025 | up 100.0% | volatile |
| 1 | Luxembourg | 0 | 2025 | — | volatile |
| 1 | Mongolia | 0 | 2025 | up 100.0% | volatile |
| 1 | Kyrgyzstan | 0 | 2024 | — | volatile |
| 1 | Kazakhstan, Republic of | 0 | 2022 | up 100.0% | volatile |
| 1 | Mauritius | 0 | 2025 | — | flat |
| 1 | Iceland | 0 | 2015 | — | volatile |
| 1 | Ireland | 0 | 2013 | up 100.0% | volatile |
| 1 | Norway | 0 | 2024 | — | volatile |
| 1 | Paraguay | 0 | 2025 | — | flat |
| 1 | Hong Kong, China | 0 | 2025 | — | volatile |
| 1 | Guatemala | 0 | 2021 | — | flat |
| 1 | Greece | 0 | 2025 | — | volatile |
| 1 | Romania | 0 | 2023 | up 100.0% | volatile |
| 1 | Singapore | 0 | 2025 | — | volatile |
| 1 | Thailand | 0 | 2025 | — | volatile |
| 1 | West Bank and Gaza | 0 | 2025 | — | flat |
| 1 | Uruguay | 0 | 2025 | up 100.0% | volatile |
| 1 | Bulgaria | 0 | 2025 | — | flat |
| 1 | Belarus | 0 | 2025 | up 100.0% | volatile |
| 1 | Canada | 0 | 2021 | up 100.0% | volatile |
| 1 | Slovakia | 0 | 2024 | up 100.0% | volatile |
| 1 | Chile | 0 | 2025 | — | volatile |
| 1 | Colombia | 0 | 2020 | — | volatile |
| 1 | Cyprus | 0 | 2022 | — | flat |
| 1 | Germany | 0 | 2025 | — | volatile |
| 1 | Denmark | 0 | 2025 | up 100.0% | volatile |
| 1 | Slovenia | 0 | 2025 | up 100.0% | volatile |
| 29 | South Africa | -4.00 million | 2025 | up 98.5% | volatile |
| 30 | Portugal | -4.11 million | 2025 | — | volatile |
| 31 | Japan | -10.00 million | 2018 | up 100.0% | volatile |
| 32 | Jordan | -15.52 million | 2025 | — | volatile |
| 33 | Argentina | -23.50 million | 2025 | — | volatile |
| 34 | Philippines | -150.00 million | 2025 | — | volatile |
| 35 | Türkiye | -195.00 million | 2025 | — | volatile |
| 36 | Finland | -232.00 million | 2025 | down 141,966.0% | volatile |
| 37 | Italy | -260.62 million | 2025 | down 17,359.2% | volatile |
| 38 | Albania | -281.94 million | 2025 | down 1,739.1% | volatile |
| 39 | Morocco | -356.57 million | 2025 | up 60.1% | volatile |
| 40 | United States of America | -481.00 million | 2025 | up 51.8% | volatile |
| 41 | Malta | -491.48 million | 2025 | down 123.5% | volatile |
| 42 | New Zealand | -567.44 million | 2025 | up 43.6% | volatile |
| 43 | Switzerland | -721.27 million | 2025 | down 242.9% | volatile |
| 44 | Sri Lanka | -729.15 million | 2025 | down 119.4% | volatile |
| 45 | Australia | -746.94 million | 2025 | up 89.4% | volatile |
| 46 | Netherlands | -970.00 million | 2025 | down 18.7% | volatile |
| 47 | European Central Bank (ECB) | -1.29 billion | 2025 | up 26.7% | volatile |
| 48 | Spain | -1.60 billion | 2020 | down 16.0% | volatile |
| 49 | Russian Federation | -1.60 billion | 2020 | up 77.5% | volatile |
| 50 | Estonia | -1.72 billion | 2025 | down 432.9% | volatile |
| 51 | Lithuania | -2.94 billion | 2025 | down 0.3% | rising |
| 52 | Sweden | -3.07 billion | 2025 | up 64.2% | volatile |
| 53 | Malaysia | -3.15 billion | 2025 | down 27.0% | volatile |
| 54 | Belgium | -3.15 billion | 2025 | down 24.7% | volatile |
| 55 | Latvia | -3.34 billion | 2025 | up 6.1% | volatile |
| 56 | Austria | -5.39 billion | 2025 | down 115.0% | volatile |
| 57 | Hungary | -6.37 billion | 2025 | up 25.9% | volatile |
| 58 | Indonesia | -7.77 billion | 2025 | down 183.4% | volatile |
| 59 | United Kingdom of Great Britain and Northern Ireland | -16.86 billion | 2025 | down 256.0% | volatile |
| 60 | India | -20.26 billion | 2025 | down 2,836.2% | 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) -14.40 billion
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.