Memorandum items, Financial derivatives (net marked to market), swaps, Assets (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
Memorandum items, Financial derivatives (net marked to market), swaps, Assets (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 43 countries. The highest value is 9.32 billion in Colombia; the lowest is -51.68 billion in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0, and the mean is -1.49 billion.
Over the past decade 18 countries rose and 12 fell. The largest increase was in Hong Kong, China (up 1,387.5%), and the largest decrease in Romania (down 11,294,700.0%).
Memorandum items, Financial derivatives (net marked to market): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Colombia | 9.32 billion | 2025 | — | volatile |
| 2 | Australia | 1.65 billion | 2025 | up 954.3% | volatile |
| 3 | Brazil | 1.54 billion | 2025 | up 181.8% | volatile |
| 4 | Japan | 959.00 million | 2025 | up 328.3% | volatile |
| 5 | Sweden | 297.00 million | 2025 | up 101.9% | volatile |
| 6 | Netherlands | 283.00 million | 2025 | up 322.8% | volatile |
| 7 | Finland | 271.10 million | 2025 | up 123.2% | volatile |
| 8 | Hong Kong, China | 119.00 million | 2025 | up 1,387.5% | volatile |
| 9 | China | 112.00 million | 2025 | down 84.5% | volatile |
| 10 | Hungary | 96.35 million | 2025 | up 239.2% | volatile |
| 11 | Spain | 15.67 million | 2025 | down 96.8% | volatile |
| 12 | Israel | 14.52 million | 2025 | up 103.0% | volatile |
| 13 | Portugal | 9.78 million | 2025 | down 99.6% | volatile |
| 14 | Switzerland | 8.46 million | 2025 | down 3.9% | volatile |
| 15 | Lithuania | 6.93 million | 2025 | up 164.3% | volatile |
| 16 | Malta | 6.54 million | 2025 | up 175.2% | volatile |
| 17 | Slovakia | 4.78 million | 2024 | up 278.9% | volatile |
| 18 | Italy | 357,270 | 2025 | — | volatile |
| 19 | Slovenia | 18,365 | 2025 | up 100.9% | volatile |
| 20 | Kyrgyzstan | 0 | 2009 | — | volatile |
| 20 | Poland | 0 | 2025 | — | volatile |
| 20 | Norway | 0 | 2025 | — | volatile |
| 20 | Mongolia | 0 | 2025 | up 100.0% | volatile |
| 20 | North Macedonia | 0 | 2025 | — | volatile |
| 20 | Luxembourg | 0 | 2025 | — | volatile |
| 20 | Kazakhstan | 0 | 2022 | — | volatile |
| 20 | Chile | 0 | 2025 | — | volatile |
| 20 | Iceland | 0 | 2015 | — | volatile |
| 20 | Ireland | 0 | 2013 | down 100.0% | volatile |
| 20 | Belarus | 0 | 2025 | — | volatile |
| 20 | Denmark | 0 | 2025 | — | volatile |
| 20 | Greece | 0 | 2025 | — | volatile |
| 43 | Romania | -450,000 | 2023 | down 11,294,700.0% | volatile |
| 44 | Estonia | -835,425 | 2025 | up 6.3% | volatile |
| 45 | Latvia | -71.67 million | 2025 | down 121.4% | volatile |
| 46 | Sri Lanka | -89.48 million | 2025 | up 7.8% | volatile |
| 47 | France | -163.92 million | 2025 | down 2,201.1% | volatile |
| 48 | Austria | -351.32 million | 2025 | down 6.5% | volatile |
| 49 | Belgium | -589.85 million | 2025 | down 203.2% | volatile |
| 50 | New Zealand | -933.04 million | 2025 | down 275.4% | volatile |
| 51 | Canada | -2.26 billion | 2025 | up 72.1% | volatile |
| 52 | Indonesia | -22.44 billion | 2025 | down 212.0% | volatile |
| 53 | United Kingdom of Great Britain and Northern Ireland | -51.68 billion | 2025 | up 24.4% | 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) 357.13 million
- European Central Bank (ECB) 93.59 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.