Guatemala vs New Zealand: Inward Direct investment, Net (liabilities less assets), Debt

Guatemala
453.93 million
in 2024
New Zealand
576.78 million
in 2024
Guatemala rank
98th
New Zealand rank
95th

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

  • Guatemala
  • New Zealand
0500.0M1.0B1.5B200920162024

How they compare

New Zealand currently reports 576.78 million against 453.93 million in Guatemala, a difference of 122.86 million.

That makes New Zealand's figure about 1.3 times Guatemala's.

The two have swapped places 2 times across 16 shared years of data; in 2009 it was New Zealand ahead.

Guatemala ranks 98th and New Zealand ranks 95th of 245 countries.

Across the 3 decades both report, Guatemala averaged higher in 1 and New Zealand in 2.

Head to head by decade

Decade Guatemala New Zealand Difference Ahead
2000s 284.45 million 310.13 million 25.68 million New Zealand
2010s 706.36 million 284.07 million 422.30 million Guatemala
2020s 520.51 million 791.29 million 270.78 million New Zealand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), debt, Guatemala or New Zealand?
New Zealand, at 576.78 million against 453.93 million in Guatemala as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), debt between Guatemala and New Zealand?
122.86 million, with New Zealand ahead.
How many years of comparable data are there for Guatemala and New Zealand?
16 years are reported by both, from 2009 to 2024.
How do Guatemala and New Zealand rank globally for inward direct investment, net (liabilities less assets), debt?
Guatemala ranks 98th and New Zealand ranks 95th 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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Guatemala vs New Zealand: Inward Direct investment, Net (liabilities less assets), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 11 September 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-debt-instruments-resident/guatemala/new-zealand/

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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.