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

Bolivia, Plurinational State of
-88.55 million
in 2020
Guatemala
-108.90 million
in 2025
Bolivia, Plurinational State of rank
38th
Guatemala rank
40th

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

  • Bolivia, Plurinational State of
  • Guatemala
-120.0M-100.0M-80.0M-60.0M-40.0M-20.0M200820162025

How they compare

Bolivia, Plurinational State of currently reports -88.55 million against -108.90 million in Guatemala, a difference of 20.35 million.

Across all 6 years both countries report, Bolivia, Plurinational State of has been ahead every year.

Bolivia, Plurinational State of ranks 38th and Guatemala ranks 40th of 84 countries.

Bolivia, Plurinational State of has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Bolivia, Plurinational State of Guatemala Difference Ahead
2010s -42.94 million -80.36 million 37.42 million Bolivia, Plurinational State of
2020s -88.55 million -89.90 million 1.35 million Bolivia, Plurinational State of

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 Guatemala?
Bolivia, Plurinational State of, at -88.55 million against -108.90 million in Guatemala as of 2020.
What is the difference in predetermined short-term net drains on foreign currency assets between Bolivia, Plurinational State of and Guatemala?
20.35 million, with Bolivia, Plurinational State of ahead.
How many years of comparable data are there for Bolivia, Plurinational State of and Guatemala?
6 years are reported by both, from 2015 to 2020.
How do Bolivia, Plurinational State of and Guatemala rank globally for predetermined short-term net drains on foreign currency assets?
Bolivia, Plurinational State of ranks 38th and Guatemala ranks 40th of 84 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, principal, More than 1 and up to 3 months, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL . Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Bolivia, Plurinational State of vs Guatemala: Predetermined short-term net drains on foreign currency assets. Statizoid, drawing on International Monetary Fund. Retrieved 27 August 2026, from https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-foreign-7/bolivia/guatemala/

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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, principal, More than 1 and up to 3 months, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
86 places, 1,689 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.