Predetermined short-term net drains on foreign currency assets in Lithuania
Lithuania: Predetermined short-term net drains on foreign currency assets was -41.35 million in 2020. ▼ Falling
Predetermined short-term net drains on foreign currency assets in Lithuania, 2004–2020
Source: International Monetary Fund.
Analysis
Lithuania recorded -41.35 million for predetermined short-term net drains on foreign currency assets in 2020. That is the highest value across all 17 years on record.
That represents a change of up 63.3% on the previous year and up 84.4% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in Lithuania peaked at -41.35 million in 2020 and was at its lowest, -367.60 million, in 2012.
That places Lithuania 33rd out of 85 countries with data for 2020, putting it in the middle of the range.
The long-run direction has been consistently falling across the 17 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -136.25 million | -187.40 million | -89.70 million | 6 |
| 2010s | -244.59 million | -367.60 million | -112.32 million | 10 |
| 2020s | -41.35 million | -41.35 million | -41.35 million | 1 |
Countries ranked near Lithuania
More financial sector data for Lithuania
- Domestic credit to private sector by banks 35.7% (2024)
- Total reserves in months of imports 1.17 (2025)
- Net domestic credit 33.79 billion current LCU (2024)
- Net foreign assets 40.28 billion current LCU (2024)
- Monetary Sector credit to private sector 35.7% (2024)
- Claims on central government, etc. 3.9% (2024)
- Domestic credit to private sector 35.7% (2024)
- Official exchange rate 0.885 LCU per US$, period average (2025)
- Net migration -24,618 (2025)
- Net migration, annual growth rate -94.18 % change on previous year (2024)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in Lithuania?
- Predetermined short-term net drains on foreign currency assets in Lithuania was -41.35 million in 2020, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in Lithuania?
- The highest recorded value was -41.35 million in 2020.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in Lithuania?
- The lowest recorded value was -367.60 million in 2012.
- How does Lithuania rank for predetermined short-term net drains on foreign currency assets?
- Lithuania ranks 33rd out of 85 countries with data for 2020.
- Is predetermined short-term net drains on foreign currency assets rising or falling in Lithuania?
- Over the last ten years it is up 84.4%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from International Monetary Fund, published as part of Predetermined short-term net drains on foreign currency assets (nominal value), Foreign currency loans, securities and deposits, interest, More than 1 and up to 3 months, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2. 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.