Equatorial Guinea vs Samoa: Inward Direct investment, Net (liabilities less assets), All

Equatorial Guinea
524.05 million
in 2024
Samoa
454.83 million
in 2024
Equatorial Guinea rank
198th
Samoa rank
200th

Inward Direct investment, Net (liabilities less assets), All over time

  • Equatorial Guinea
  • Samoa
01.0B2.0B3.0B4.0B200920162024

How they compare

Equatorial Guinea currently reports 524.05 million against 454.83 million in Samoa, a difference of 69.22 million.

That makes Equatorial Guinea's figure about 1.2 times Samoa's.

Across all 16 years both countries report, Equatorial Guinea has been ahead every year.

Equatorial Guinea ranks 198th and Samoa ranks 200th of 245 countries.

Equatorial Guinea has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Equatorial Guinea Samoa Difference Ahead
2000s 2.14 billion 1.85 billion 293.29 million Equatorial Guinea
2010s 2.01 billion 457.19 million 1.55 billion Equatorial Guinea
2020s 1.86 billion 510.11 million 1.35 billion Equatorial Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), all, Equatorial Guinea or Samoa?
Equatorial Guinea, at 524.05 million against 454.83 million in Samoa as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), all between Equatorial Guinea and Samoa?
69.22 million, with Equatorial Guinea ahead.
How many years of comparable data are there for Equatorial Guinea and Samoa?
16 years are reported by both, from 2009 to 2024.
How do Equatorial Guinea and Samoa rank globally for inward direct investment, net (liabilities less assets), all?
Equatorial Guinea ranks 198th and Samoa ranks 200th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward Direct investment, Net (liabilities less assets), All financial 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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Equatorial Guinea vs Samoa: Inward Direct investment, Net (liabilities less assets), All. Statizoid, drawing on International Monetary Fund. Retrieved 28 August 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-all-financial-instruments-all/equatorial-guinea/samoa/

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About this data

Indicator
Inward Direct investment, Net (liabilities less assets), All financial 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.