Cabo Verde vs Mauritania: Maritime transport CO2 emissions (experimental)

Cabo Verde
80,380 Tonnes
in 2025
Mauritania
116,150 Tonnes
in 2025
Cabo Verde rank
5th
Mauritania rank
2nd

Maritime transport CO2 emissions (experimental) over time

  • Cabo Verde
  • Mauritania
50.0k100.0k150.0k201920222025

How they compare

Mauritania currently reports 116,150 Tonnes against 80,380 Tonnes in Cabo Verde, a difference of 35,770 Tonnes.

That makes Mauritania's figure about 1.4 times Cabo Verde's.

Across all 7 years both countries report, Mauritania has been ahead every year.

Cabo Verde ranks 5th and Mauritania ranks 2nd of 10 countries.

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

Head to head by decade

Decade Cabo Verde Mauritania Difference Ahead
2010s 46,867 Tonnes 57,694 Tonnes 10,826 Tonnes Mauritania
2020s 47,842 Tonnes 132,302 Tonnes 84,460 Tonnes Mauritania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maritime transport co2 emissions, Cabo Verde or Mauritania?
Mauritania, at 116,150 Tonnes against 80,380 Tonnes in Cabo Verde as of 2025.
What is the difference in maritime transport co2 emissions between Cabo Verde and Mauritania?
35,770 Tonnes, with Mauritania ahead.
How many years of comparable data are there for Cabo Verde and Mauritania?
7 years are reported by both, from 2019 to 2025.
How do Cabo Verde and Mauritania rank globally for maritime transport co2 emissions?
Cabo Verde ranks 5th and Mauritania ranks 2nd 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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Cabo Verde vs Mauritania: 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/cabo-verde-2/mauritania-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