Contingent short-term net drains on foreign currency assets (nominal) in Russian Federation
Russian Federation: Contingent short-term net drains on foreign currency assets (nominal) was -6.72 million in 2009. ◆ Volatile
Contingent short-term net drains on foreign currency assets (nominal) in Russian Federation, 2005–2009
Source: International Monetary Fund.
Analysis
In 2009, contingent short-term net drains on foreign currency assets (nominal) in Russian Federation stood at -6.72 million. That is the highest value across all 5 years on record.
The figure is up 97.7% over five years.
Russian Federation ranks 35th of 79 countries on this measure, in the middle of the range.
Contingent short-term net drains on foreign currency assets (nominal) in Russian Federation, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | -294.84 million | — |
| 2006 | -6.72 million | -97.7% |
| 2007 | -6.72 million | -0.0% |
| 2008 | -6.72 million | -0.0% |
| 2009 | -6.72 million | -0.0% |
Countries ranked near Russian Federation
- 33 Lithuania -217,740 compare
- 34 New Zealand -4.12 million compare
- 36 Bulgaria -43.71 million compare
- 37 Namibia -77.08 million
- 38 Switzerland -88.39 million compare
More financial sector data for Russian Federation
- Net domestic credit (current LCU), per capita 557,650 current LCU per person (2021)
- Net domestic credit (current LCU), per unit of GDP 44.13 current LCU per US$ of GDP (2021)
- Net domestic credit (current LCU), annual growth rate 13.37 % change on previous year (2021)
- Gold reserves at 35 SDRs per ounce 2.62 billion SDR (2024)
- Gold reserves at market value 150.05 billion SDR (2024)
- Reserves excluding gold, foreign exchange 295.25 billion SDR (2024)
- Reserves excluding gold 316.44 billion SDR (2024)
- Total reserves (gold at market value) 466.49 billion SDR (2024)
- Total reserves (gold at national valuation) 466.50 billion SDR (2024)
- Total reserves (gold at national valuation) (SDR), per capita 3,247 SDR per person (2024)
Frequently asked questions
- What is contingent short-term net drains on foreign currency assets (nominal) in Russian Federation?
- Contingent short-term net drains on foreign currency assets (nominal) in Russian Federation was -6.72 million in 2009, according to International Monetary Fund.
- What is the highest contingent short-term net drains on foreign currency assets (nominal) recorded in Russian Federation?
- The highest recorded value was -6.72 million in 2006.
- What is the lowest contingent short-term net drains on foreign currency assets (nominal) recorded in Russian Federation?
- The lowest recorded value was -294.84 million in 2005.
- How does Russian Federation rank for contingent short-term net drains on foreign currency assets (nominal)?
- Russian Federation ranks 35th out of 79 countries with data for 2009.
- Where does this Russian Federation data come from?
- The figures come from International Monetary Fund, published as part of Contingent short-term net drains on foreign currency assets (nominal value), Total (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social Security). Statizoid updates them automatically from the source API.
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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.