New Zealand vs Philippines: Maritime transport CO2 emissions (experimental)

New Zealand
786,042 Tonnes
in 2025
Philippines
868,082 Tonnes
in 2025
New Zealand rank
28th
Philippines rank
26th

Maritime transport CO2 emissions (experimental) over time

  • New Zealand
  • Philippines
0250.0k500.0k750.0k1.0M1.2M201920222025

How they compare

Philippines currently reports 868,082 Tonnes against 786,042 Tonnes in New Zealand, a difference of 82,040 Tonnes.

That makes Philippines's figure about 1.1 times New Zealand's.

The two have swapped places 3 times across 7 shared years of data; in 2019 it was New Zealand ahead.

New Zealand ranks 28th and Philippines ranks 26th of 138 countries.

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

Head to head by decade

Decade New Zealand Philippines Difference Ahead
2010s 787,599 Tonnes 767,159 Tonnes 20,440 Tonnes New Zealand
2020s 834,703 Tonnes 947,295 Tonnes 112,592 Tonnes Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maritime transport co2 emissions, New Zealand or Philippines?
Philippines, at 868,082 Tonnes against 786,042 Tonnes in New Zealand as of 2025.
What is the difference in maritime transport co2 emissions between New Zealand and Philippines?
82,040 Tonnes, with Philippines ahead.
How many years of comparable data are there for New Zealand and Philippines?
7 years are reported by both, from 2019 to 2025.
How do New Zealand and Philippines rank globally for maritime transport co2 emissions?
New Zealand ranks 28th and Philippines ranks 26th of 138 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Maritime transport CO2 emissions (experimental). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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New Zealand vs Philippines: Maritime transport CO2 emissions. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 07 October 2026, from https://climate.statizoid.com/compare/maritime-transport-co2-emissions-experimental/new-zealand/philippines/

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About this data

Indicator
Maritime transport CO2 emissions (experimental)
Unit
Tonnes
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
160 places, 1,105 data points, 2019–2025
Last refreshed

This experimental dataset includes annual, quarterly, and monthly information on carbon dioxide (CO2) emissions from maritime transport based on ship-tracking information collected via Automatic Identification System (AIS) transponders, covering all large vessels (above 300 gross tonnage) around the world, accessed via the United Nations Global Platform, from 2019 onwards. The CO2 emissions are estimated by the OECD, based on a consistent methodology across countries and include emissions from both domestic and international voyages. The CO2 emissions are classified using the ship-type classification used by the International Maritime Organisation (IMO) distinguishing between 19 vessel categories such as bulk carriers, tankers, and cruise ships. The database provides a measure of CO2 emissions on a territory basis for domestic navigation, which is used for reporting in the UN Framework Convention on Climate Change (UNFCCC) inventories; and also on a residence basis, which is used to estimate the emissions of maritime transport (H50 in the International Standard Industrial Classification of All Economic Activities, or ISIC) in the SEEA Air Emission Accounts (AEAs). Seven components of these CO2 emissions measures can be selected from the ‘Vessel emissions ’ filter. In the tables, these are also shown with the letters A, B, C, D, E, F and G. The aggregate measures of CO2 emissions are calculated as: Domestic navigation = A + C International navigation (memo item) = D + G Air emissions accounts: maritime transport (ISIC H50) = A + B + D + E + F For residence based measures, the allocation of emissions to countries is based on the residence of the companies that operate the ships. More information can be found on the dataset webpage