Predetermined short-term net drains on foreign currency assets in Lithuania

Lithuania: Predetermined short-term net drains on foreign currency assets was -49.70 million in 2020. ◆ Volatile

Latest (2020)
-49.70 million
Change on year
up 48.3%
World rank
27th
of 84 countries
All-time high
-38.00 million
in 2005
All-time low
-394.60 million
in 2011
Years of data
17
2004–2020

Predetermined short-term net drains on foreign currency assets in Lithuania, 2004–2020

-400.0M-300.0M-200.0M-100.0M02004201220202004: -55.5M2005: -38.0M2006: -87.4M2007: -90.4M2008: -98.1M2009: -245.6M2010: -324.7M2011: -394.6M2012: -385.7M2013: -367.1M2014: -274.3M2015: -191.4M2016: -184.9M2017: -231.9M2018: -161.9M2019: -96.1M2020: -49.7M

Source: International Monetary Fund.

Analysis

Lithuania recorded -49.70 million for predetermined short-term net drains on foreign currency assets in 2020.

The figure is up 48.3% on the previous year and up 84.7% over ten years.

Over the whole period, predetermined short-term net drains on foreign currency assets in Lithuania peaked at -38.00 million in 2005 and was at its lowest, -394.60 million, in 2011.

Lithuania ranks 27th of 84 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Predetermined short-term net drains on foreign currency assets in Lithuania, year by year

Annual values for Predetermined short-term net drains on foreign currency assets (nominal value), Foreign currency loans, securities and deposits, interest, More than 3 months and up to 1 year, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IR in Lithuania, 2004 to 2020.
Year Value Change
2004 -55.50 million —
2005 -38.00 million -31.5%
2006 -87.40 million +130.0%
2007 -90.40 million +3.4%
2008 -98.10 million +8.5%
2009 -245.60 million +150.4%
2010 -324.70 million +32.2%
2011 -394.60 million +21.5%
2012 -385.70 million -2.3%
2013 -367.10 million -4.8%
2014 -274.30 million -25.3%
2015 -191.39 million -30.2%
2016 -184.89 million -3.4%
2017 -231.94 million +25.5%
2018 -161.90 million -30.2%
2019 -96.05 million -40.7%
2020 -49.70 million -48.3%

Lithuania compared with similar countries

  • Lithuania's -49.70 million is below the median for high income countries, which is -31.73 million, 1.6× the median. (41 countries reporting)
  • Lithuania's -49.70 million is above the median for Europe & Central Asia, which is -49.70 million, 1.0× the median. (41 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s -102.50 million -245.60 million -38.00 million 6
2010s -261.26 million -394.60 million -96.05 million 10
2020s -49.70 million -49.70 million -49.70 million 1

Countries ranked near Lithuania

  1. 24 Namibia -32.97 million
  2. 25 Kyrgyzstan -33.73 million compare
  3. 26 Mauritius -37.25 million compare
  4. 28 Iceland -58.19 million compare
  5. 29 Moldova -81.98 million compare
  6. 30 Bosnia and Herzegovina -86.44 million

See the full ranking of 86 places →

More financial sector data for Lithuania

All data for Lithuania →

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 -49.70 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 -38.00 million in 2005.
What is the lowest predetermined short-term net drains on foreign currency assets recorded in Lithuania?
The lowest recorded value was -394.60 million in 2011.
How does Lithuania rank for predetermined short-term net drains on foreign currency assets?
Lithuania ranks 27th out of 84 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 84.7%. The long-run trend across the full record is volatile.
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 3 months and up to 1 year, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IR. Statizoid updates them automatically from the source API.

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Predetermined short-term net drains on foreign currency assets in Lithuania. Statizoid, drawing on International Monetary Fund. Retrieved 04 October 2026, from https://financial-sector.statizoid.com/stat/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-foreign-2/lithuania/

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About this data

Indicator
Predetermined short-term net drains on foreign currency assets (nominal value), Foreign currency loans, securities and deposits, interest, More than 3 months and up to 1 year, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IR
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
86 places, 1,697 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.