El Salvador vs Liechtenstein: Inward Direct investment, Liabilities (gross), All financial

El Salvador
13.20 million
in 2024
Liechtenstein
15.74 million
in 2024
El Salvador rank
148th
Liechtenstein rank
145th

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

  • El Salvador
  • Liechtenstein
0100.0M200.0M300.0M400.0M200920162024

How they compare

Liechtenstein currently reports 15.74 million against 13.20 million in El Salvador, a difference of 2.54 million.

That makes Liechtenstein's figure about 1.2 times El Salvador's.

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

El Salvador ranks 148th and Liechtenstein ranks 145th of 245 countries.

Liechtenstein has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade El Salvador Liechtenstein Difference Ahead
2000s 30,297 54,211 23,914 Liechtenstein
2010s 11.33 million 76.65 million 65.31 million Liechtenstein
2020s 17.16 million 228.73 million 211.57 million Liechtenstein

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, liabilities (gross), all financial, El Salvador or Liechtenstein?
Liechtenstein, at 15.74 million against 13.20 million in El Salvador as of 2024.
What is the difference in inward direct investment, liabilities (gross), all financial between El Salvador and Liechtenstein?
2.54 million, with Liechtenstein ahead.
How many years of comparable data are there for El Salvador and Liechtenstein?
16 years are reported by both, from 2009 to 2024.
How do El Salvador and Liechtenstein rank globally for inward direct investment, liabilities (gross), all financial?
El Salvador ranks 148th and Liechtenstein ranks 145th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward 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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El Salvador vs Liechtenstein: Inward Direct investment, Liabilities (gross), All financial. Statizoid, drawing on International Monetary Fund. Retrieved 16 September 2026, from https://debt.statizoid.com/compare/inward-direct-investment-liabilities-gross-all-financial-instruments-fellow-enterprises/el-salvador/liechtenstein/

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About this data

Indicator
Inward 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.