Eswatini vs Faroe Islands: Inward Direct investment, Net (liabilities less assets), Debt

Eswatini
104.37 million
in 2024
Faroe Islands
77.89 million
in 2024
Eswatini rank
166th
Faroe Islands rank
168th

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

  • Eswatini
  • Faroe Islands
0100.0M200.0M300.0M200920162024

How they compare

Eswatini currently reports 104.37 million against 77.89 million in Faroe Islands, a difference of 26.48 million.

That makes Eswatini's figure about 1.3 times Faroe Islands's.

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

Eswatini ranks 166th and Faroe Islands ranks 168th of 245 countries.

Across the 3 decades both report, Eswatini averaged higher in 2 and Faroe Islands in 1.

Head to head by decade

Decade Eswatini Faroe Islands Difference Ahead
2000s -17.79 million 118.07 million 135.86 million Faroe Islands
2010s 118.89 million 52.80 million 66.09 million Eswatini
2020s 158.22 million 39.14 million 119.08 million Eswatini

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), debt, Eswatini or Faroe Islands?
Eswatini, at 104.37 million against 77.89 million in Faroe Islands as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), debt between Eswatini and Faroe Islands?
26.48 million, with Eswatini ahead.
How many years of comparable data are there for Eswatini and Faroe Islands?
16 years are reported by both, from 2009 to 2024.
How do Eswatini and Faroe Islands rank globally for inward direct investment, net (liabilities less assets), debt?
Eswatini ranks 166th and Faroe Islands ranks 168th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward Direct investment, Net (liabilities less assets), Debt 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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Eswatini vs Faroe Islands: Inward Direct investment, Net (liabilities less assets), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 06 September 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-debt-instruments-all-entities-world/eswatini/faroe-islands/

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About this data

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