Albania vs Macau, China: Outward Direct investment, Liabilities (gross), Debt instruments, All

Albania
75.02 million
in 2024
Macau, China
89.17 million
in 2024
Albania rank
120th
Macau, China rank
118th

Outward Direct investment, Liabilities (gross), Debt instruments, All over time

  • Albania
  • Macau, China
0500.0M1.0B1.5B200920162024

How they compare

Macau, China currently reports 89.17 million against 75.02 million in Albania, a difference of 14.14 million.

That makes Macau, China's figure about 1.2 times Albania's.

The two have swapped places 4 times across 16 shared years of data; in 2009 it was Macau, China ahead.

Albania ranks 120th and Macau, China ranks 118th of 245 countries.

Macau, China has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Albania Macau, China Difference Ahead
2000s 879,130 222.78 million 221.90 million Macau, China
2010s 65.28 million 770.32 million 705.04 million Macau, China
2020s 57.26 million 123.00 million 65.74 million Macau, China

Averages of every year both report within each decade.

Frequently asked questions

Which has higher outward direct investment, liabilities (gross), debt instruments, all, Albania or Macau, China?
Macau, China, at 89.17 million against 75.02 million in Albania as of 2024.
What is the difference in outward direct investment, liabilities (gross), debt instruments, all between Albania and Macau, China?
14.14 million, with Macau, China ahead.
How many years of comparable data are there for Albania and Macau, China?
16 years are reported by both, from 2009 to 2024.
How do Albania and Macau, China rank globally for outward direct investment, liabilities (gross), debt instruments, all?
Albania ranks 120th and Macau, China ranks 118th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Outward Direct investment, Liabilities (gross), Debt instruments, All entities (World, Derived using counterparty information). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Albania vs Macau, China: Outward Direct investment, Liabilities (gross), Debt instruments, All. Statizoid, drawing on International Monetary Fund. Retrieved 10 September 2026, from https://debt.statizoid.com/compare/outward-direct-investment-liabilities-gross-debt-instruments-all-entities-world-derived/albania/macao-sar-china/

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About this data

Indicator
Outward Direct investment, Liabilities (gross), Debt instruments, All entities (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.