Malta vs Russian Federation: Outward Direct investment, Assets (gross), Debt instruments, All

Malta
40.72 billion
in 2024
Russian Federation
38.51 billion
in 2024
Malta rank
28th
Russian Federation rank
29th

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

  • Malta
  • Russian Federation
020.0B40.0B60.0B80.0B200920162024

How they compare

Malta currently reports 40.72 billion against 38.51 billion in Russian Federation, a difference of 2.21 billion.

That makes Malta's figure about 1.1 times Russian Federation's.

The two have swapped places 1 time across 16 shared years of data; in 2009 it was Russian Federation ahead.

Malta ranks 28th and Russian Federation ranks 29th of 245 countries.

Russian Federation has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Malta Russian Federation Difference Ahead
2000s 3.08 billion 5.49 billion 2.41 billion Russian Federation
2010s 12.67 billion 43.36 billion 30.68 billion Russian Federation
2020s 28.82 billion 44.39 billion 15.57 billion Russian Federation

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, assets (gross), debt instruments, all, Malta or Russian Federation?
Malta, at 40.72 billion against 38.51 billion in Russian Federation as of 2024.
What is the difference in outward direct investment, assets (gross), debt instruments, all between Malta and Russian Federation?
2.21 billion, with Malta ahead.
How many years of comparable data are there for Malta and Russian Federation?
16 years are reported by both, from 2009 to 2024.
How do Malta and Russian Federation rank globally for outward direct investment, assets (gross), debt instruments, all?
Malta ranks 28th and Russian Federation ranks 29th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Assets (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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Malta vs Russian Federation: Outward Direct investment, Assets (gross), Debt instruments, All. Statizoid, drawing on International Monetary Fund. Retrieved 03 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-assets-gross-debt-instruments-all-entities-world-derived-using/malta/russian-federation/

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About this data

Indicator
Outward Direct investment, Assets (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.