Anguilla vs Equatorial Guinea: Maritime transport CO2 emissions

Anguilla
2,114 Tonnes
in 2025
Equatorial Guinea
76,064 Tonnes
in 2024
Anguilla rank
8th
Equatorial Guinea rank
6th

Maritime transport CO2 emissions over time

  • Anguilla
  • Equatorial Guinea
020.0k40.0k60.0k80.0k201920222025

How they compare

Equatorial Guinea currently reports 76,064 Tonnes against 2,114 Tonnes in Anguilla, a difference of 73,950 Tonnes.

That makes Equatorial Guinea's figure about 36.0 times Anguilla's.

Across all 6 years both countries report, Equatorial Guinea has been ahead every year.

Anguilla ranks 8th and Equatorial Guinea ranks 6th of 10 countries.

Equatorial Guinea has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Anguilla Equatorial Guinea Difference Ahead
2010s 155.35 Tonnes 66,061 Tonnes 65,906 Tonnes Equatorial Guinea
2020s 186.68 Tonnes 70,059 Tonnes 69,872 Tonnes Equatorial Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maritime transport co2 emissions, Anguilla or Equatorial Guinea?
Equatorial Guinea, at 76,064 Tonnes against 2,114 Tonnes in Anguilla as of 2024.
What is the difference in maritime transport co2 emissions between Anguilla and Equatorial Guinea?
73,950 Tonnes, with Equatorial Guinea ahead.
How many years of comparable data are there for Anguilla and Equatorial Guinea?
6 years are reported by both, from 2019 to 2024.
How do Anguilla and Equatorial Guinea rank globally for maritime transport co2 emissions?
Anguilla ranks 8th and Equatorial Guinea ranks 6th of 10 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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Anguilla vs Equatorial Guinea: Maritime transport CO2 emissions. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 27 September 2026, from https://climate.statizoid.com/compare/maritime-transport-co2-emissions-experimental/anguilla-2/equatorial-guinea-2/

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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