Lithuania vs Seychelles: Predetermined short-term net drains on foreign currency assets

Lithuania
-26.44 million
in 2025
Seychelles
-14.58 million
in 2025
Lithuania rank
26th
Seychelles rank
24th

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

  • Lithuania
  • Seychelles
-1.5B-1.0B-500.0M0200420142025

How they compare

Seychelles currently reports -14.58 million against -26.44 million in Lithuania, a difference of 11.85 million.

The two have swapped places 4 times across 15 shared years of data; in 2011 it was Seychelles ahead.

Lithuania ranks 26th and Seychelles ranks 24th of 85 countries.

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

Head to head by decade

Decade Lithuania Seychelles Difference Ahead
2010s -252.97 million -9.33 million 243.64 million Seychelles
2020s -272.93 million -12.62 million 260.32 million Seychelles

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, Lithuania or Seychelles?
Seychelles, at -14.58 million against -26.44 million in Lithuania as of 2025.
What is the difference in predetermined short-term net drains on foreign currency assets between Lithuania and Seychelles?
11.85 million, with Seychelles ahead.
How many years of comparable data are there for Lithuania and Seychelles?
15 years are reported by both, from 2011 to 2025.
How do Lithuania and Seychelles rank globally for predetermined short-term net drains on foreign currency assets?
Lithuania ranks 26th and Seychelles ranks 24th 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, Up to 1 month (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excludi. 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

Lithuania vs Seychelles: 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-6/lithuania/seychelles/

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-6/lithuania/seychelles/">Lithuania vs Seychelles: 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, Up to 1 month (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excludi
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
86 places, 1,714 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.