Gabon vs Qatar: Inward Direct investment, Net (liabilities less assets), Debt

Gabon
-193.48 million
in 2024
Qatar
-483.61 million
in 2024
Gabon rank
229th
Qatar rank
232nd

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

  • Gabon
  • Qatar
-2.0B-1.0B01.0B200920162024

How they compare

Gabon currently reports -193.48 million against -483.61 million in Qatar, a difference of 290.13 million.

The two have swapped places 3 times across 16 shared years of data; in 2009 it was Qatar ahead.

Gabon ranks 229th and Qatar ranks 232nd of 245 countries.

Across the 3 decades both report, Gabon averaged higher in 2 and Qatar in 1.

Head to head by decade

Decade Gabon Qatar Difference Ahead
2000s 43.61 million 149.95 million 106.34 million Qatar
2010s 96.32 million 79.11 million 17.21 million Gabon
2020s -180.70 million -420.29 million 239.58 million Gabon

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), debt, Gabon or Qatar?
Gabon, at -193.48 million against -483.61 million in Qatar as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), debt between Gabon and Qatar?
290.13 million, with Gabon ahead.
How many years of comparable data are there for Gabon and Qatar?
16 years are reported by both, from 2009 to 2024.
How do Gabon and Qatar rank globally for inward direct investment, net (liabilities less assets), debt?
Gabon ranks 229th and Qatar ranks 232nd of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward Direct investment, Net (liabilities less assets), 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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Gabon vs Qatar: Inward Direct investment, Net (liabilities less assets), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 27 August 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-debt-instruments-resident/gabon/qatar/

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<a href="https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-debt-instruments-resident/gabon/qatar/">Gabon vs Qatar: Inward Direct investment, Net (liabilities less assets), Debt</a> — Statizoid

About this data

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