Guinea-Bissau vs Somalia: Outward Direct investment, Net (assets less liabilities), Equity, All

Guinea-Bissau
10.38 million
in 2024
Somalia
7.16 million
in 2024
Guinea-Bissau rank
218th
Somalia rank
220th

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

  • Guinea-Bissau
  • Somalia
010.0M20.0M30.0M200920162024

How they compare

Guinea-Bissau currently reports 10.38 million against 7.16 million in Somalia, a difference of 3.23 million.

That makes Guinea-Bissau's figure about 1.5 times Somalia's.

The two have swapped places 5 times across 16 shared years of data; in 2009 it was Somalia ahead.

Guinea-Bissau ranks 218th and Somalia ranks 220th of 245 countries.

Across the 3 decades both report, Guinea-Bissau averaged higher in 1 and Somalia in 2.

Head to head by decade

Decade Guinea-Bissau Somalia Difference Ahead
2000s 3.68 million 19.86 million 16.18 million Somalia
2010s 15.46 million 12.04 million 3.42 million Guinea-Bissau
2020s 12.88 million 13.57 million 680,550 Somalia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, net (assets less liabilities), equity, all, Guinea-Bissau or Somalia?
Guinea-Bissau, at 10.38 million against 7.16 million in Somalia as of 2024.
What is the difference in outward direct investment, net (assets less liabilities), equity, all between Guinea-Bissau and Somalia?
3.23 million, with Guinea-Bissau ahead.
How many years of comparable data are there for Guinea-Bissau and Somalia?
16 years are reported by both, from 2009 to 2024.
How do Guinea-Bissau and Somalia rank globally for outward direct investment, net (assets less liabilities), equity, all?
Guinea-Bissau ranks 218th and Somalia ranks 220th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Net (assets less liabilities), Equity, 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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Guinea-Bissau vs Somalia: Outward Direct investment, Net (assets less liabilities), Equity, All. Statizoid, drawing on International Monetary Fund. Retrieved 11 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-net-assets-less-liabilities-equity-all-entities-world-derived/guinea-bissau/somalia-fed-rep/

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About this data

Indicator
Outward Direct investment, Net (assets less liabilities), Equity, 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.