Djibouti vs Saint Helena: Inward Direct investment, Net (liabilities less assets), All

Djibouti
288.88 million
in 2024
Saint Helena
344.75 million
in 2024
Djibouti rank
205th
Saint Helena rank
202nd

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

  • Djibouti
  • Saint Helena
0100.0M200.0M300.0M200920162024

How they compare

Saint Helena currently reports 344.75 million against 288.88 million in Djibouti, a difference of 55.87 million.

That makes Saint Helena's figure about 1.2 times Djibouti's.

The two have swapped places 2 times across 16 shared years of data; in 2009 it was Saint Helena ahead.

Djibouti ranks 205th and Saint Helena ranks 202nd of 245 countries.

Across the 3 decades both report, Djibouti averaged higher in 2 and Saint Helena in 1.

Head to head by decade

Decade Djibouti Saint Helena Difference Ahead
2000s 3.15 million 15.53 million 12.38 million Saint Helena
2010s 78.64 million 12.73 million 65.91 million Djibouti
2020s 258.06 million 135.91 million 122.15 million Djibouti

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), all, Djibouti or Saint Helena?
Saint Helena, at 344.75 million against 288.88 million in Djibouti as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), all between Djibouti and Saint Helena?
55.87 million, with Saint Helena ahead.
How many years of comparable data are there for Djibouti and Saint Helena?
16 years are reported by both, from 2009 to 2024.
How do Djibouti and Saint Helena rank globally for inward direct investment, net (liabilities less assets), all?
Djibouti ranks 205th and Saint Helena ranks 202nd 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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Djibouti vs Saint Helena: Inward Direct investment, Net (liabilities less assets), All. Statizoid, drawing on International Monetary Fund. Retrieved 11 September 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-all-financial-instruments-all/djibouti/saint-helena/

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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.