Argentina vs Sweden: Air transport emissions (experimental)

Argentina
212.97 Tonnes
in 2024
Sweden
211.97 Tonnes
in 2024
Argentina rank
14th
Sweden rank
15th

Air transport emissions (experimental) over time

  • Argentina
  • Sweden
0100200300400201920212024

How they compare

Argentina currently reports 212.97 Tonnes against 211.97 Tonnes in Sweden, a difference of 1 Tonnes.

The two have swapped places 1 time across 6 shared years of data; in 2019 it was Sweden ahead.

Argentina ranks 14th and Sweden ranks 15th of 111 countries.

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

Head to head by decade

Decade Argentina Sweden Difference Ahead
2010s 30.09 Tonnes 440.17 Tonnes 410.07 Tonnes Sweden
2020s 159.97 Tonnes 209.29 Tonnes 49.33 Tonnes Sweden

Averages of every year both report within each decade.

Frequently asked questions

Which has higher air transport emissions, Argentina or Sweden?
Argentina, at 212.97 Tonnes against 211.97 Tonnes in Sweden as of 2024.
What is the difference in air transport emissions between Argentina and Sweden?
1 Tonnes, with Argentina ahead.
How many years of comparable data are there for Argentina and Sweden?
6 years are reported by both, from 2019 to 2024.
How do Argentina and Sweden rank globally for air transport emissions?
Argentina ranks 14th and Sweden ranks 15th of 111 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Air transport emissions (experimental). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Argentina vs Sweden: Air transport emissions. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 07 October 2026, from https://climate.statizoid.com/compare/air-transport-emissions-experimental/argentina/sweden/

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About this data

Indicator
Air transport emissions (experimental)
Unit
Tonnes
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
127 places, 751 data points, 2019–2024
Last refreshed

Database updates are currently paused due to temporary source data availability issues. For further information please contact SDD.SEEA@oecd.org This database provides annual, quarterly and monthly estimates for emissions from commercial passenger, freight and general aviation flights. The emissions are estimated for 186 countries by the OECD, based on a consistent methodology across countries. From 2019, the estimates are compiled using Automatic Dependent Surveillance-Broadcast (ADS-B) flight data from the International Civil Aviation Organisation (ICAO). The database provides measures of emissions on a territory basis, 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 air transport (H51 in the International Standard Industrial Classification of All Economic Activities, or ISIC) in the Air Emission Accounts (AEAs). Seven components of these emissions measures can be selected from the ‘Emissions ’ filter. In the tables, these are also shown with the letters A, B, C, D, E, F and G. The UNFCCC inventories and AEA air transport (ISIC H51) measures of emissions are calculated as: Inventories: domestic aviation = A + C Inventories: international aviation (memo item) = D + G Air emissions accounts: air transport (ISIC H51) = A + B + D + E + F Three categories of flight are shown on the database: total flights, passenger flights, and freight flights. General aviation (non-freight flights with fewer than 19 passengers such as agricultural planes and private jets) is included with passenger flights. The estimation methodology is described in the OECD Working Paper CO2 Emissions from Air Transport - A Near-Real-Time Global Database for Policy Analysis. and in the note Air transport CO2 emissions methodology update. Data for 2025 are estimated separately as detailed in the note: Air transport CO₂ emissions database: 2025 estimations