Seychelles vs Syrian Arab Republic: Outward Direct investment, Net (assets less liabilities), Debt

Seychelles
28,810
in 2024
Syrian Arab Republic
85,190
in 2024
Seychelles rank
77th
Syrian Arab Republic rank
76th

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

  • Seychelles
  • Syrian Arab Republic
-10.0M010.0M20.0M30.0M200920162024

How they compare

Syrian Arab Republic currently reports 85,190 against 28,810 in Seychelles, a difference of 56,380.

That makes Syrian Arab Republic's figure about 3.0 times Seychelles's.

The two have swapped places 4 times across 16 shared years of data; in 2009 it was Syrian Arab Republic ahead.

Seychelles ranks 77th and Syrian Arab Republic ranks 76th of 245 countries.

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

Head to head by decade

Decade Seychelles Syrian Arab Republic Difference Ahead
2000s 0 0 0
2010s 8.20 million 34,942 8.16 million Seychelles
2020s 1.41 million 66,219 1.34 million Seychelles

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, net (assets less liabilities), debt, Seychelles or Syrian Arab Republic?
Syrian Arab Republic, at 85,190 against 28,810 in Seychelles as of 2024.
What is the difference in outward direct investment, net (assets less liabilities), debt between Seychelles and Syrian Arab Republic?
56,380, with Syrian Arab Republic ahead.
How many years of comparable data are there for Seychelles and Syrian Arab Republic?
16 years are reported by both, from 2009 to 2024.
How do Seychelles and Syrian Arab Republic rank globally for outward direct investment, net (assets less liabilities), debt?
Seychelles ranks 77th and Syrian Arab Republic ranks 76th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Net (assets less liabilities), Debt instruments, Resident 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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Seychelles vs Syrian Arab Republic: Outward Direct investment, Net (assets less liabilities), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 10 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-net-assets-less-liabilities-debt-instruments-resident-financial/seychelles/syrian-arab-republic/

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About this data

Indicator
Outward Direct investment, Net (assets less liabilities), Debt instruments, Resident 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.