Bolivia, Plurinational State of vs Lithuania: Predetermined short-term net drains on foreign currency assets

Bolivia, Plurinational State of
-43.85 million
in 2020
Lithuania
-41.35 million
in 2020
Bolivia, Plurinational State of rank
34th
Lithuania rank
33rd

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

  • Bolivia, Plurinational State of
  • Lithuania
-400.0M-300.0M-200.0M-100.0M0200420122020

How they compare

Lithuania currently reports -41.35 million against -43.85 million in Bolivia, Plurinational State of, a difference of 2.49 million.

The two have swapped places 1 time across 6 shared years of data; in 2015 it was Bolivia, Plurinational State of ahead.

Bolivia, Plurinational State of ranks 34th and Lithuania ranks 33rd of 85 countries.

Across the 2 decades both report, Bolivia, Plurinational State of averaged higher in 1 and Lithuania in 1.

Head to head by decade

Decade Bolivia, Plurinational State of Lithuania Difference Ahead
2010s -37.56 million -164.56 million 127.00 million Bolivia, Plurinational State of
2020s -43.85 million -41.35 million 2.49 million Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, Bolivia, Plurinational State of or Lithuania?
Lithuania, at -41.35 million against -43.85 million in Bolivia, Plurinational State of as of 2020.
What is the difference in predetermined short-term net drains on foreign currency assets between Bolivia, Plurinational State of and Lithuania?
2.49 million, with Lithuania ahead.
How many years of comparable data are there for Bolivia, Plurinational State of and Lithuania?
6 years are reported by both, from 2015 to 2020.
How do Bolivia, Plurinational State of and Lithuania rank globally for predetermined short-term net drains on foreign currency assets?
Bolivia, Plurinational State of ranks 34th and Lithuania ranks 33rd of 85 countries.
Where does this data come from?
International Monetary Fund, published as 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 refreshes it automatically from the source and publishes the full history for both places.

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Bolivia, Plurinational State of vs Lithuania: Predetermined short-term net drains on foreign currency assets. Statizoid, drawing on International Monetary Fund. Retrieved 20 August 2026, from https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-foreign/bolivia/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 1 and up to 3 months, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
86 places, 1,684 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.