Russian Federation vs Sweden: Predetermined short-term net drains on foreign currency assets

Russian Federation
0
in 2025
Sweden
240.00 million
in 2025
Russian Federation rank
5th
Sweden rank
3rd

Predetermined short-term net drains on foreign currency assets over time

  • Russian Federation
  • Sweden
-30.0B-20.0B-10.0B0200020122025

How they compare

Sweden currently reports 240.00 million against 0 in Russian Federation, a difference of 240.00 million.

The two have swapped places 2 times across 21 shared years of data; in 2004 it was Sweden ahead.

Russian Federation ranks 5th and Sweden ranks 3rd of 86 countries.

Across the 3 decades both report, Russian Federation averaged higher in 2 and Sweden in 1.

Head to head by decade

Decade Russian Federation Sweden Difference Ahead
2000s -11.20 billion -6.52 billion 4.68 billion Sweden
2010s -4.34 billion -15.22 billion 10.88 billion Russian Federation
2020s -542.98 million -5.29 billion 4.75 billion Russian Federation

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, Russian Federation or Sweden?
Sweden, at 240.00 million against 0 in Russian Federation as of 2025.
What is the difference in predetermined short-term net drains on foreign currency assets between Russian Federation and Sweden?
240.00 million, with Sweden ahead.
How many years of comparable data are there for Russian Federation and Sweden?
21 years are reported by both, from 2004 to 2025.
How do Russian Federation and Sweden rank globally for predetermined short-term net drains on foreign currency assets?
Russian Federation ranks 5th and Sweden ranks 3rd of 86 countries.
Where does this data come from?
International Monetary Fund, published as Predetermined short-term net drains on foreign currency assets (nominal value), Total foreign currency loans securities and deposits (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social . Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Russian Federation vs Sweden: Predetermined short-term net drains on foreign currency assets. Statizoid, drawing on International Monetary Fund. Retrieved 30 August 2026, from https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-total/russian-federation/sweden/

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<a href="https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-total/russian-federation/sweden/">Russian Federation vs Sweden: Predetermined short-term net drains on foreign currency assets</a> — Statizoid

About this data

Indicator
Predetermined short-term net drains on foreign currency assets (nominal value), Total foreign currency loans securities and deposits (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
88 places, 1,758 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.