French Polynesia vs Rwanda: Outward Direct investment, Net (assets less liabilities), Debt

French Polynesia
-12.03 million
in 2024
Rwanda
-13.33 million
in 2024
French Polynesia rank
210th
Rwanda rank
212th

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

  • French Polynesia
  • Rwanda
-60.0M-40.0M-20.0M020.0M200920162024

How they compare

French Polynesia currently reports -12.03 million against -13.33 million in Rwanda, a difference of 1.30 million.

The two have swapped places 6 times across 16 shared years of data; in 2009 it was French Polynesia ahead.

French Polynesia ranks 210th and Rwanda ranks 212th of 245 countries.

Across the 3 decades both report, French Polynesia averaged higher in 2 and Rwanda in 1.

Head to head by decade

Decade French Polynesia Rwanda Difference Ahead
2000s 1,556 -9.29 million 9.29 million French Polynesia
2010s -7.48 million -16.07 million 8.59 million French Polynesia
2020s -7.53 million -4.75 million 2.78 million Rwanda

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, net (assets less liabilities), debt, French Polynesia or Rwanda?
French Polynesia, at -12.03 million against -13.33 million in Rwanda as of 2024.
What is the difference in outward direct investment, net (assets less liabilities), debt between French Polynesia and Rwanda?
1.30 million, with French Polynesia ahead.
How many years of comparable data are there for French Polynesia and Rwanda?
16 years are reported by both, from 2009 to 2024.
How do French Polynesia and Rwanda rank globally for outward direct investment, net (assets less liabilities), debt?
French Polynesia ranks 210th and Rwanda ranks 212th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Net (assets less liabilities), Debt instruments, Resident enterprises that are not financial intermediaries (World, Derived using counterparty information). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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French Polynesia vs Rwanda: Outward Direct investment, Net (assets less liabilities), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 21 August 2026, from https://debt.statizoid.com/compare/outward-direct-investment-net-assets-less-liabilities-debt-instruments-resident/french-polynesia/rwanda/

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About this data

Indicator
Outward Direct investment, Net (assets less liabilities), Debt instruments, Resident enterprises that are not financial intermediaries (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.