American Samoa vs Pitcairn: Inward Direct investment, Net (liabilities less assets), All

American Samoa
81.09 million
in 2024
Pitcairn
52.00 million
in 2024
American Samoa rank
219th
Pitcairn rank
221st

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

  • American Samoa
  • Pitcairn
050.0M100.0M150.0M200920162024

How they compare

American Samoa currently reports 81.09 million against 52.00 million in Pitcairn, a difference of 29.09 million.

That makes American Samoa's figure about 1.6 times Pitcairn's.

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

American Samoa ranks 219th and Pitcairn ranks 221st of 245 countries.

Across the 3 decades both report, American Samoa averaged higher in 2 and Pitcairn in 1.

Head to head by decade

Decade American Samoa Pitcairn Difference Ahead
2000s 757,120 6.00 million 5.24 million Pitcairn
2010s 78.19 million 19.70 million 58.49 million American Samoa
2020s 109.65 million 42.71 million 66.94 million American Samoa

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), all, American Samoa or Pitcairn?
American Samoa, at 81.09 million against 52.00 million in Pitcairn as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), all between American Samoa and Pitcairn?
29.09 million, with American Samoa ahead.
How many years of comparable data are there for American Samoa and Pitcairn?
16 years are reported by both, from 2009 to 2024.
How do American Samoa and Pitcairn rank globally for inward direct investment, net (liabilities less assets), all?
American Samoa ranks 219th and Pitcairn ranks 221st of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward Direct investment, Net (liabilities less assets), All financial 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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American Samoa vs Pitcairn: Inward Direct investment, Net (liabilities less assets), All. Statizoid, drawing on International Monetary Fund. Retrieved 31 August 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-all-financial-instruments-all/american-samoa/pitcairn/

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About this data

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