Kenya vs Liechtenstein: Outward Direct investment, Liabilities (gross), All financial

Kenya
497.43 million
in 2024
Liechtenstein
329.86 million
in 2024
Kenya rank
64th
Liechtenstein rank
66th

Outward Direct investment, Liabilities (gross), All financial over time

  • Kenya
  • Liechtenstein
0200.0M400.0M600.0M200920162024

How they compare

Kenya currently reports 497.43 million against 329.86 million in Liechtenstein, a difference of 167.57 million.

That makes Kenya's figure about 1.5 times Liechtenstein's.

The two have swapped places 8 times across 16 shared years of data; in 2009 it was Kenya ahead.

Kenya ranks 64th and Liechtenstein ranks 66th of 245 countries.

Across the 3 decades both report, Kenya averaged higher in 1 and Liechtenstein in 2.

Head to head by decade

Decade Kenya Liechtenstein Difference Ahead
2000s 10.79 million 2.59 million 8.19 million Kenya
2010s 109.40 million 174.29 million 64.90 million Liechtenstein
2020s 363.39 million 386.94 million 23.55 million Liechtenstein

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, liabilities (gross), all financial, Kenya or Liechtenstein?
Kenya, at 497.43 million against 329.86 million in Liechtenstein as of 2024.
What is the difference in outward direct investment, liabilities (gross), all financial between Kenya and Liechtenstein?
167.57 million, with Kenya ahead.
How many years of comparable data are there for Kenya and Liechtenstein?
16 years are reported by both, from 2009 to 2024.
How do Kenya and Liechtenstein rank globally for outward direct investment, liabilities (gross), all financial?
Kenya ranks 64th and Liechtenstein ranks 66th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Liabilities (gross), All financial instruments, Fellow enterprises (World, Derived using counterparty information). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Kenya vs Liechtenstein: Outward Direct investment, Liabilities (gross), All financial. Statizoid, drawing on International Monetary Fund. Retrieved 11 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-liabilities-gross-all-financial-instruments-fellow-enterprises/kenya/liechtenstein/

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About this data

Indicator
Outward Direct investment, Liabilities (gross), All financial instruments, Fellow enterprises (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.