Equatorial Guinea vs Estonia: Maritime transport CO2 emissions (experimental)

Equatorial Guinea
76,064 Tonnes
in 2024
Estonia
44,654 Tonnes
in 2025
Equatorial Guinea rank
6th
Estonia rank
7th

Maritime transport CO2 emissions (experimental) over time

  • Equatorial Guinea
  • Estonia
050.0k100.0k150.0k201920222025

How they compare

Equatorial Guinea currently reports 76,064 Tonnes against 44,654 Tonnes in Estonia, a difference of 31,410 Tonnes.

That makes Equatorial Guinea's figure about 1.7 times Estonia's.

The two have swapped places 2 times across 6 shared years of data; in 2019 it was Equatorial Guinea ahead.

Equatorial Guinea ranks 6th and Estonia ranks 7th of 10 countries.

Across the 2 decades both report, Equatorial Guinea averaged higher in 1 and Estonia in 1.

Head to head by decade

Decade Equatorial Guinea Estonia Difference Ahead
2010s 66,061 Tonnes 52,824 Tonnes 13,237 Tonnes Equatorial Guinea
2020s 70,059 Tonnes 84,136 Tonnes 14,078 Tonnes Estonia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maritime transport co2 emissions, Equatorial Guinea or Estonia?
Equatorial Guinea, at 76,064 Tonnes against 44,654 Tonnes in Estonia as of 2024.
What is the difference in maritime transport co2 emissions between Equatorial Guinea and Estonia?
31,410 Tonnes, with Equatorial Guinea ahead.
How many years of comparable data are there for Equatorial Guinea and Estonia?
6 years are reported by both, from 2019 to 2024.
How do Equatorial Guinea and Estonia rank globally for maritime transport co2 emissions?
Equatorial Guinea ranks 6th and Estonia ranks 7th 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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Equatorial Guinea vs Estonia: 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/equatorial-guinea-2/estonia-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