Lithuania vs Mauritius: Outward Direct investment, Liabilities (gross), Debt instruments, All

Lithuania
842.61 million
in 2024
Mauritius
987.44 million
in 2024
Lithuania rank
71st
Mauritius rank
68th

Outward Direct investment, Liabilities (gross), Debt instruments, All over time

  • Lithuania
  • Mauritius
01.0B2.0B3.0B4.0B200920162024

How they compare

Mauritius currently reports 987.44 million against 842.61 million in Lithuania, a difference of 144.84 million.

That makes Mauritius's figure about 1.2 times Lithuania's.

The two have swapped places 8 times across 16 shared years of data; in 2009 it was Mauritius ahead.

Lithuania ranks 71st and Mauritius ranks 68th of 245 countries.

Across the 3 decades both report, Lithuania averaged higher in 1 and Mauritius in 2.

Head to head by decade

Decade Lithuania Mauritius Difference Ahead
2000s 360.55 million 625.94 million 265.39 million Mauritius
2010s 713.57 million 1.72 billion 1.00 billion Mauritius
2020s 1.41 billion 952.58 million 458.37 million Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, liabilities (gross), debt instruments, all, Lithuania or Mauritius?
Mauritius, at 987.44 million against 842.61 million in Lithuania as of 2024.
What is the difference in outward direct investment, liabilities (gross), debt instruments, all between Lithuania and Mauritius?
144.84 million, with Mauritius ahead.
How many years of comparable data are there for Lithuania and Mauritius?
16 years are reported by both, from 2009 to 2024.
How do Lithuania and Mauritius rank globally for outward direct investment, liabilities (gross), debt instruments, all?
Lithuania ranks 71st and Mauritius ranks 68th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Liabilities (gross), Debt instruments, All entities (World, Derived using counterparty information). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lithuania vs Mauritius: Outward Direct investment, Liabilities (gross), Debt instruments, All. Statizoid, drawing on International Monetary Fund. Retrieved 29 August 2026, from https://debt.statizoid.com/compare/outward-direct-investment-liabilities-gross-debt-instruments-all-entities-world-derived/lithuania/mauritius/

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About this data

Indicator
Outward Direct investment, Liabilities (gross), Debt instruments, All entities (World, Derived using counterparty information)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
259 places, 4,144 data points, 2009–2024
Last refreshed

The Direct Investment Positions by Counterpart Economy dataset is based on information collected through an IMF-led global initiative on direct investment positions statistics (the Coordinated Direct Investment Survey, or CDIS). The purpose of this initiative is to enhance the quality and availability of direct investment position statistics by immediate counterpart economy and to support the objective of developing from-whom-to-whom cross-border data on direct investment positions. The DIP dataset includes (i) inward foreign direct investment positions by instrument (equity or debt) and by economy of immediate investor and (ii) outward direct investment positions by instrument (equity or debt) and by economy of immediate investment. In most instances the database contains separate data on net equity and net debt positions, as well as separate data on financial companies and fellow enterprises. The DIP dataset also includes mirror data which show values for the corresponding indicators as derived from data reported by the counterpart economies (referred to as data derived using counterparty information). These data can offer insights into inward and outward positions for economies that do not participate in the CDIS and/or do not collect direct investment positions by country or in total. For economies that do participate, these data can be used to cross-check and verify estimates and may help identify data gaps or errors at the counterpart economy level.