Bolivia vs Georgia: Predetermined short-term net drains on foreign currency assets

Bolivia
-88.55 million
in 2020
Georgia
-77.96 million
in 2025
Bolivia rank
38th
Georgia rank
36th

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

  • Bolivia
  • Georgia
-125.0M-100.0M-75.0M-50.0M-25.0M0200720162025

How they compare

Georgia currently reports -77.96 million against -88.55 million in Bolivia, a difference of 10.59 million.

The two have swapped places 2 times across 6 shared years of data; in 2015 it was Georgia ahead.

Bolivia ranks 38th and Georgia ranks 36th of 84 countries.

Georgia has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Bolivia Georgia Difference Ahead
2010s -42.94 million -41.60 million 1.34 million Georgia
2020s -88.55 million -49.08 million 39.47 million Georgia

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 or Georgia?
Georgia, at -77.96 million against -88.55 million in Bolivia as of 2025.
What is the difference in predetermined short-term net drains on foreign currency assets between Bolivia and Georgia?
10.59 million, with Georgia ahead.
How many years of comparable data are there for Bolivia and Georgia?
6 years are reported by both, from 2015 to 2020.
How do Bolivia and Georgia rank globally for predetermined short-term net drains on foreign currency assets?
Bolivia ranks 38th and Georgia ranks 36th 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.

Individual pages

Share, cite or embed this page

Cite this page

Bolivia vs Georgia: 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/georgia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under IMF Terms and Conditions (attribution required); please keep the attribution.

<a href="https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-foreign-7/bolivia/georgia/">Bolivia vs Georgia: Predetermined short-term net drains on foreign currency assets</a> — Statizoid

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.