Angola vs South Korea: Inward Direct investment, Net (liabilities less assets), Debt

Angola
4.97 billion
in 2024
South Korea
4.70 billion
in 2024
Angola rank
33rd
South Korea rank
34th

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

  • Angola
  • South Korea
02.0B4.0B6.0B8.0B200920162024

How they compare

Angola currently reports 4.97 billion against 4.70 billion in South Korea, a difference of 276.98 million.

That makes Angola's figure about 1.1 times South Korea's.

The two have swapped places 1 time across 16 shared years of data; in 2009 it was South Korea ahead.

Angola ranks 33rd and South Korea ranks 34th of 245 countries.

Across the 3 decades both report, Angola averaged higher in 2 and South Korea in 1.

Head to head by decade

Decade Angola South Korea Difference Ahead
2000s 265.25 million 1.32 billion 1.05 billion South Korea
2010s 3.45 billion 2.59 billion 862.98 million Angola
2020s 6.08 billion 4.77 billion 1.31 billion Angola

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), debt, Angola or South Korea?
Angola, at 4.97 billion against 4.70 billion in South Korea as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), debt between Angola and South Korea?
276.98 million, with Angola ahead.
How many years of comparable data are there for Angola and South Korea?
16 years are reported by both, from 2009 to 2024.
How do Angola and South Korea rank globally for inward direct investment, net (liabilities less assets), debt?
Angola ranks 33rd and South Korea ranks 34th 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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Angola vs South Korea: Inward Direct investment, Net (liabilities less assets), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 01 September 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-debt-instruments-resident/angola/korea-rep/

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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.