Jersey vs Qatar: Outward Direct investment, Liabilities (gross), All financial

Jersey
569.36 million
in 2024
Qatar
621.00 million
in 2024
Jersey rank
62nd
Qatar rank
59th

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

  • Jersey
  • Qatar
0200.0M400.0M600.0M200920162024

How they compare

Qatar currently reports 621.00 million against 569.36 million in Jersey, a difference of 51.64 million.

That makes Qatar's figure about 1.1 times Jersey's.

The two have swapped places 7 times across 16 shared years of data; in 2009 it was Jersey ahead.

Jersey ranks 62nd and Qatar ranks 59th of 245 countries.

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

Head to head by decade

Decade Jersey Qatar Difference Ahead
2000s 239,162 4,000 235,162 Jersey
2010s 238.58 million 172.93 million 65.65 million Jersey
2020s 498.57 million 460.98 million 37.59 million Jersey

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, liabilities (gross), all financial, Jersey or Qatar?
Qatar, at 621.00 million against 569.36 million in Jersey as of 2024.
What is the difference in outward direct investment, liabilities (gross), all financial between Jersey and Qatar?
51.64 million, with Qatar ahead.
How many years of comparable data are there for Jersey and Qatar?
16 years are reported by both, from 2009 to 2024.
How do Jersey and Qatar rank globally for outward direct investment, liabilities (gross), all financial?
Jersey ranks 62nd and Qatar ranks 59th 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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Jersey vs Qatar: Outward Direct investment, Liabilities (gross), All financial. Statizoid, drawing on International Monetary Fund. Retrieved 09 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-liabilities-gross-all-financial-instruments-fellow-enterprises/jersey/qatar/

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<a href="https://debt.statizoid.com/compare/outward-direct-investment-liabilities-gross-all-financial-instruments-fellow-enterprises/jersey/qatar/">Jersey vs Qatar: Outward Direct investment, Liabilities (gross), All financial</a> — Statizoid

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.