Contingent short-term net drains on foreign currency assets (nominal value), Other 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...

Countries reporting
65
Highest
0
Portugal
Lowest
-60.81 billion
Türkiye, Republic of
Median
-452.16 million
Years covered
27
1999–2025
Data points
1,113

What the numbers show

Contingent short-term net drains on foreign currency assets (nominal value), Other 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 65 countries. The highest value is 0 in Portugal; the lowest is -60.81 billion in Türkiye, Republic of.

The median across all reporting countries is -452.16 million, and the mean is -2.39 billion.

Over the past decade 15 countries rose and 26 fell. The largest increase was in Poland, Republic of (up 100.0%), and the largest decrease in South Africa (down 1,123.6%).

Contingent short-term net drains on foreign currency assets (nominal): full country ranking

#Country LatestYear 10-year changeTrend
1 Portugal 0 2025 flat
1 Estonia, Republic of 0 2025 flat
1 Finland 0 2025 flat
1 United Kingdom 0 2016 flat
1 Sweden 0 2004 flat
1 Slovenia, Republic of 0 2025 flat
1 Hungary 0 2025 volatile
1 India 0 2025 flat
1 Italy 0 2025 flat
1 European Central Bank (ECB) 0 2025 flat
1 Poland, Republic of 0 2025 up 100.0% volatile
1 Lithuania, Republic of 0 2008 volatile
1 Luxembourg 0 2025 flat
1 Latvia, Republic of 0 2025 up 100.0% volatile
1 Malta 0 2015 flat
1 Netherlands, The 0 2025 flat
1 Panama 0 2025 flat
1 Austria 0 2025 flat
1 Argentina 0 2005 up 100.0% volatile
1 Germany 0 2025 volatile
1 Cyprus 0 2022 flat
1 Belgium 0 2025 flat
1 Chile 0 2015 volatile
1 Thailand 0 2025 flat
25 Russian Federation -6.72 million 2009 volatile
26 Slovak Republic -15.00 million 2008 up 97.6% volatile
27 Bulgaria -43.71 million 2025 up 40.9% falling
28 Namibia -77.08 million 2024 rising
29 Switzerland -88.39 million 2025 up 0.8% flat
30 Iceland -180.85 million 2025 up 14.1% volatile
31 Philippines -276.18 million 2025 up 79.2% rising
32 Sri Lanka -278.44 million 2021 down 21.6% falling
33 Tunisia -452.16 million 2015 down 4.6% falling
34 Croatia, Republic of -543.69 million 2015 up 74.9% volatile
35 Jamaica -669.02 million 2025 down 198.7% falling
36 Bolivia -699.31 million 2020 down 2.9% flat
37 Belarus, Republic of -777.94 million 2025 down 46.3% volatile
38 Moldova, Republic of -871.38 million 2025 down 381.1% volatile
39 Jordan -985.52 million 2025 up 9.5% rising
40 North Macedonia, Republic of -999.18 million 2025 down 324.8% volatile
41 Armenia, Republic of -1.05 billion 2024 down 859.2% volatile
42 Nicaragua -1.09 billion 2025 down 36.5% falling
43 Guatemala -1.24 billion 2021 down 207.9% falling
44 South Africa -1.30 billion 2025 down 1,123.6% volatile
45 Albania -1.30 billion 2025 down 113.0% falling
46 Hong Kong Special Administrative Region, People's Republic of China -1.39 billion 2025 down 77.0% volatile
47 Angola -1.54 billion 2025 rising
48 Honduras -1.79 billion 2025 down 112.6% falling
49 Paraguay -1.80 billion 2025 down 61.3% falling
50 El Salvador -1.92 billion 2019 down 57.5% volatile
51 Mauritius -2.04 billion 2025 down 765.2% volatile
52 West Bank and Gaza -2.13 billion 2025 down 186.5% falling
53 Georgia -2.18 billion 2025 down 203.4% volatile
54 Kazakhstan, Republic of -2.68 billion 2025 up 66.3% volatile
55 Serbia, Republic of -3.81 billion 2025 down 97.8% falling
56 Romania -4.05 billion 2025 up 3.0% volatile
57 Costa Rica -4.25 billion 2025 down 128.7% falling
58 Indonesia -4.73 billion 2025 up 22.0% falling
59 Ecuador -5.30 billion 2025 down 67.1% falling
60 Dominican Republic -5.45 billion 2025 down 186.0% falling
61 Egypt, Arab Republic of -7.49 billion 2025 down 75.9% falling
62 Uruguay -7.50 billion 2025 down 15.2% falling
63 Korea, Republic of -10.04 billion 2025 down 14.1% volatile
64 Peru -11.57 billion 2025 up 4.6% volatile
65 Türkiye, Republic of -60.81 billion 2025 up 16.3% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Contingent short-term net drains on foreign currency assets (nominal) by country. Statizoid, drawing on International Monetary Fund. Retrieved 18 August 2026, from https://debt.statizoid.com/stat/contingent-short-term-net-drains-on-foreign-currency-assets-nominal-value-other/

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About this data

Indicator
Contingent short-term net drains on foreign currency assets (nominal value), Other 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
66 places, 1,113 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.