Cambodia vs Marshall Islands: Inward Direct investment, Liabilities (gross), Debt instruments, All

Cambodia
4.69 billion
in 2024
Marshall Islands
4.43 billion
in 2024
Cambodia rank
67th
Marshall Islands rank
70th

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

  • Cambodia
  • Marshall Islands
01.0B2.0B3.0B4.0B5.0B200920162024

How they compare

Cambodia currently reports 4.69 billion against 4.43 billion in Marshall Islands, a difference of 255.38 million.

That makes Cambodia's figure about 1.1 times Marshall Islands's.

The two have swapped places 4 times across 16 shared years of data; in 2009 it was Cambodia ahead.

Cambodia ranks 67th and Marshall Islands ranks 70th of 245 countries.

Across the 3 decades both report, Cambodia averaged higher in 1 and Marshall Islands in 2.

Head to head by decade

Decade Cambodia Marshall Islands Difference Ahead
2000s 974.98 million 476.74 million 498.24 million Cambodia
2010s 1.06 billion 1.35 billion 291.73 million Marshall Islands
2020s 3.40 billion 3.64 billion 248.17 million Marshall Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, liabilities (gross), debt instruments, all, Cambodia or Marshall Islands?
Cambodia, at 4.69 billion against 4.43 billion in Marshall Islands as of 2024.
What is the difference in inward direct investment, liabilities (gross), debt instruments, all between Cambodia and Marshall Islands?
255.38 million, with Cambodia ahead.
How many years of comparable data are there for Cambodia and Marshall Islands?
16 years are reported by both, from 2009 to 2024.
How do Cambodia and Marshall Islands rank globally for inward direct investment, liabilities (gross), debt instruments, all?
Cambodia ranks 67th and Marshall Islands ranks 70th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward 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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Cambodia vs Marshall Islands: Inward Direct investment, Liabilities (gross), Debt instruments, All. Statizoid, drawing on International Monetary Fund. Retrieved 07 September 2026, from https://debt.statizoid.com/compare/inward-direct-investment-liabilities-gross-debt-instruments-all-entities-world-derived/cambodia/marshall-islands/

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About this data

Indicator
Inward 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.