List of countries by greenhouse gas emissions explained

This is a list of sovereign states and territories by greenhouse gas emissions due to certain forms of human activity, based on the EDGAR database created by European Commission. The following table lists the 1970, 1990, 2000, 2010, 2020, 2021, 2022, and 2023 annual GHG emissions estimates (in kilotons of equivalent per year) along with a list of calculated emissions per capita (in metric tons of equivalent per year). The data include carbon dioxide, methane and nitrous oxide from all sources, including agriculture and land use change. They are measured in carbon dioxide-equivalents over a 100-year timescale.

The Intergovernmental Panel on Climate Change (IPCC) 6th assessment report finds that the "Agriculture, Forestry and Other Land Use (AFOLU)" sector on average, accounted for 13–21% of global total anthropogenic GHG emissions in the period 2010–2019. Land use change drivers net AFOLU emission fluxes, with deforestation being responsible for 45% of total AFOLU emissions. In addition to being a net carbon sink and source of GHG emissions, land plays an important role in climate through albedo effects, evapotranspiration, and aerosol loading through emissions of volatile organic compounds. The IPCC report finds that the LULUCF sector offers significant near-term mitigation potential while providing food, wood and other renewable resources as well as biodiversity conservation. Mitigation measures in forests and other natural ecosystems provide the largest share of the LULUCF mitigation potential between 2020 and 2050. Among various LULUCF activities, reducing deforestation has the largest potential to reduce anthropogenic GHG emissions, followed by carbon sequestration in agriculture and ecosystem restoration including afforestation and reforestation.[1] Land use change emissions can be negative.[2]

In 2023, global GHG emissions reached 53.0 Gteq (without Land Use, land Use Change and Forestry). The 2023 data represent the highest level recorded and experienced an increase of 1.9% or 994 Mteq compared to the levels in 2022. The majority of GHG emissions consisted of fossil accounting for 73.7% of total emissions.

China, the United States, India, the EU27, Russia and Brazil were the world’s largest GHG emitters in 2023. Together they account for 49.8% of global population, 63.2% of global gross domestic product, 64.2% of global fossil fuel consumption and 62.7% of global GHG emissions. Among these top emitters, in 2023 China, India, Russia and Brazil increased their emissions compared to 2022, with India having the largest increase in relative terms (+ 6.1%) and China the largest absolute increase by 784 Mteq.

GHG emissions from the top 10 countries with the highest emissions accounted for almost two thirds of the global total. Since 2006, China has been emitting more than any other country.[3] [4] [5]

However, the main disadvantage of measuring total national emissions is that it does not take population size into account. China has the largest and GHG emissions in the world, but also the second largest population. Some argue that for a fair comparison, emissions should be analyzed in terms of the amount of and GHG per capita.[6]

Considering GHG per capita emissions in 2022, China's levels (11.11) are almost two-thirds those of the United States (17.61) and less than a sixth of those of Palau (65,29) – the country with the highest emissions of GHG per capita in 2023.[7]

Measures of territorial-based emissions, also known as production-based emissions, do not account for emissions embedded in global trade, where emissions may be imported or exported in the form of traded goods, as it only reports emissions emitted within geographical boundaries. Accordingly, a proportion of the produced and reported in Asia and Africa is for the production of goods consumed in Europe and North America.[8]

According to the review of the scientific literature conducted by the Intergovernmental Panel on Climate Change (IPCC), carbon dioxide is the most important anthropogenic greenhouse gas by warming contribution.[9] The European Union is at the forefront of international efforts to reduce greenhouse gas emissions and thus safeguard the planet's climate. Greenhouse gases (GHG) – primarily carbon dioxide but also others, including methane and chlorofluorocarbons – trap heat in the atmosphere, leading to global warming. Higher temperatures then act on the climate, with varying effects. For example, dry regions might become drier while, at the poles, the ice caps are melting, causing higher sea levels. In 2016, the global average temperature was already 1.1 °C above pre-industrial levels.[10]

Per capita GHG emissions

See main article: List of countries by greenhouse gas emissions per capita.

GHG emissions by country/territory

The data in the following table is extracted from EDGAR - Emissions Database for Global Atmospheric Research.

+ GHG emissions (kt/year)
Country/Territory/Region/Group GHG emissions % of global total Change
(1990=100%)
GHG emissions per capita
1970 1990 2000 2010 2020 2021 2022 2023 2023 2023 2023
data-sort-type=number kt data-sort-type=number kt data-sort-type=number kt data-sort-type=number kt data-sort-type=number kt data-sort-type=number kt data-sort-type=number kt data-sort-type=number kt data-sort-type=number % data-sort-type=number % data-sort-type=number t
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
and  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
and  
 
 
 
 
 
and  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
and  
, and  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
and  
and  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
GLOBAL TOTAL  
 
 
 

GHG emissions 2023 vs. GHG emissions per capita 2023

Sorting is in descending order, by GHG emissions in 2023, starting with the maximum value — China ( kteq = 100%). Percentages for GHG emissions per capita 2023 are also related to the maximum value — Palau ( teq = 100%).

+ GHG emissions 2023 (kt) and
GHG emissions per capita 2023 (t)
data-sort-type=number GHG emissions
2023
Country/Territory/Region/Group data-sort-type=number GHG emissions
per capita
2023
data-sort-type=number kt data-sort-type=number t
data-sort-value=100.00000
data-sort-value=37.38591
data-sort-value=25.92548
data-sort-value=16.75892
data-sort-value=8.15460
data-sort-value=7.52760
data-sort-value=6.52919
data-sort-value=6.25159
data-sort-value=5.04992
data-sort-value=4.68940
data-sort-value=4.46627
data-sort-value=4.27629
data-sort-value=4.10089
data-sort-value=3.80350
data-sort-value=3.58656
data-sort-value=3.33903
data-sort-value=3.28734
data-sort-value=3.27469
data-sort-value=2.76457
data-sort-value=2.41797 and
data-sort-value=2.41541
data-sort-value=2.37907
data-sort-value=2.34649 , and
data-sort-value=2.29356
data-sort-value=2.28170
data-sort-value=2.27537
data-sort-value=2.10718
data-sort-value=2.04093
data-sort-value=2.00922
data-sort-value=1.93177
data-sort-value=1.78992 and
data-sort-value=1.76481
data-sort-value=1.67978
data-sort-value=1.61059
data-sort-value=1.60654
data-sort-value=1.40471
data-sort-value=1.35532
data-sort-value=1.34553
data-sort-value=1.06645
data-sort-value=1.05316
data-sort-value=0.96829
data-sort-value=0.95578
data-sort-value=0.94547
data-sort-value=0.87018 and
data-sort-value=0.79932
data-sort-value=0.76181
data-sort-value=0.72176
data-sort-value=0.71775
data-sort-value=0.67723
data-sort-value=0.66860
data-sort-value=0.66715
data-sort-value=0.66390
data-sort-value=0.61963
data-sort-value=0.60167
data-sort-value=0.59820
data-sort-value=0.58987
data-sort-value=0.56541
data-sort-value=0.56332
data-sort-value=0.52859
data-sort-value=0.52816
data-sort-value=0.52499
data-sort-value=0.49911 and
data-sort-value=0.46594
data-sort-value=0.46164
data-sort-value=0.45736
data-sort-value=0.43443
data-sort-value=0.42462
data-sort-value=0.42157 and
data-sort-value=0.39974
data-sort-value=0.39231
data-sort-value=0.38213
data-sort-value=0.36285
data-sort-value=0.35644
data-sort-value=0.35573
data-sort-value=0.35189
data-sort-value=0.34612
data-sort-value=0.33475
data-sort-value=0.33474
data-sort-value=0.33244
data-sort-value=0.30807
data-sort-value=0.30591
data-sort-value=0.30354
data-sort-value=0.30272
data-sort-value=0.28514
data-sort-value=0.28083
data-sort-value=0.27585
data-sort-value=0.27332
data-sort-value=0.27254
data-sort-value=0.27249 and
data-sort-value=0.26552
data-sort-value=0.26377
data-sort-value=0.26237
data-sort-value=0.26113
data-sort-value=0.26107
data-sort-value=0.25847
data-sort-value=0.25193
data-sort-value=0.24712
data-sort-value=0.24697
data-sort-value=0.24087
data-sort-value=0.21611
data-sort-value=0.21442
data-sort-value=0.21296
data-sort-value=0.20953
data-sort-value=0.20792
data-sort-value=0.20384
data-sort-value=0.20223
data-sort-value=0.20186
data-sort-value=0.19455
data-sort-value=0.19120
data-sort-value=0.18477
data-sort-value=0.18438
data-sort-value=0.18091
data-sort-value=0.17960
data-sort-value=0.15688
data-sort-value=0.15474
data-sort-value=0.14866
data-sort-value=0.14375
data-sort-value=0.13609
data-sort-value=0.13446
data-sort-value=0.13423
data-sort-value=0.13348
data-sort-value=0.12973
data-sort-value=0.12938
data-sort-value=0.12365
data-sort-value=0.11948
data-sort-value=0.10474
data-sort-value=0.10355
data-sort-value=0.10329
data-sort-value=0.10075
data-sort-value=0.10031
data-sort-value=0.09009
data-sort-value=0.08566
data-sort-value=0.08494
data-sort-value=0.08186
data-sort-value=0.08082
data-sort-value=0.07973
data-sort-value=0.07842
data-sort-value=0.07625
data-sort-value=0.07131
data-sort-value=0.06872
data-sort-value=0.06797
data-sort-value=0.06656
data-sort-value=0.06476
data-sort-value=0.06047
data-sort-value=0.05137
data-sort-value=0.05120
data-sort-value=0.04930
data-sort-value=0.04813
data-sort-value=0.04700
data-sort-value=0.04421
data-sort-value=0.04379
data-sort-value=0.04351
data-sort-value=0.04148
data-sort-value=0.04015
data-sort-value=0.03888
data-sort-value=0.02843
data-sort-value=0.02617
data-sort-value=0.02344
data-sort-value=0.02133
data-sort-value=0.02063
data-sort-value=0.02041
data-sort-value=0.01956
data-sort-value=0.01937
data-sort-value=0.01880
data-sort-value=0.01832
data-sort-value=0.01632
data-sort-value=0.01588
data-sort-value=0.01337
data-sort-value=0.01286
data-sort-value=0.01276
data-sort-value=0.01259
data-sort-value=0.01185
data-sort-value=0.00942
data-sort-value=0.00917
data-sort-value=0.00862
data-sort-value=0.00840
data-sort-value=0.00772
data-sort-value=0.00764
data-sort-value=0.00620
data-sort-value=0.00577
data-sort-value=0.00478
data-sort-value=0.00452
data-sort-value=0.00447
data-sort-value=0.00430
data-sort-value=0.00420
data-sort-value=0.00406
data-sort-value=0.00405
data-sort-value=0.00360
data-sort-value=0.00352
data-sort-value=0.00283
data-sort-value=0.00245
data-sort-value=0.00244
data-sort-value=0.00238
data-sort-value=0.00215
data-sort-value=0.00190
data-sort-value=0.00126
data-sort-value=0.00109
data-sort-value=0.00108
data-sort-value=0.00097
data-sort-value=0.00095
data-sort-value=0.00092
data-sort-value=0.00082
data-sort-value=0.00069
data-sort-value=0.00057
data-sort-value=0.00032
data-sort-value=0.00029
data-sort-value=0.00016
data-sort-value=0.00013
data-sort-value=332.18104 Global Total
data-sort-value=20.20696

Cumulative GHG emissions 1970-2023 vs. GHG emissions 2023

Sorting is in descending order, by total GHG emissions 1970-2023, starting with the maximum value — China ( kteq = 100%). Percentages for GHG emissions 2023 are also related to the maximum value — China ( kteq = 100%).

+ Cumulative GHG emissions 1970-2023 (kt) and
GHG emissions 2023 (kt)
data-sort-type=number Cumulative
GHG emissions
1970-2023
Country/Territory/Region/Group data-sort-type=number GHG emissions
2023
data-sort-type=number kt data-sort-type=number kt
data-sort-value=100.00000
data-sort-value=92.44468
data-sort-value=33.99654
data-sort-value=28.38472
data-sort-value=18.35031
data-sort-value=16.18695
data-sort-value=12.32108
data-sort-value=9.89566
data-sort-value=9.45282
data-sort-value=8.48566
data-sort-value=8.30987
data-sort-value=7.97554 and
data-sort-value=7.49392
data-sort-value=7.40104
data-sort-value=7.16409
data-sort-value=7.16391
data-sort-value=6.98929 , and
data-sort-value=6.47461
data-sort-value=6.34442
data-sort-value=5.70647
data-sort-value=4.75013
data-sort-value=4.64742 and
data-sort-value=4.40700
data-sort-value=4.25839
data-sort-value=4.25762
data-sort-value=4.11217
data-sort-value=4.00715
data-sort-value=3.06682
data-sort-value=3.04929
data-sort-value=2.93408
data-sort-value=2.84477
data-sort-value=2.75037
data-sort-value=2.68484
data-sort-value=2.58007
data-sort-value=2.57903
data-sort-value=2.38453
data-sort-value=2.28696
data-sort-value=2.28391
data-sort-value=2.26351
data-sort-value=2.13029
data-sort-value=2.08981
data-sort-value=2.01651
data-sort-value=1.92549
data-sort-value=1.70011
data-sort-value=1.51236
data-sort-value=1.38179
data-sort-value=1.34185
data-sort-value=1.29073
data-sort-value=1.28668
data-sort-value=1.27665
data-sort-value=1.27357 and
data-sort-value=1.27323
data-sort-value=1.21494
data-sort-value=1.20042
data-sort-value=1.16664
data-sort-value=1.13598
data-sort-value=1.10625
data-sort-value=1.01381 and
data-sort-value=1.00431
data-sort-value=1.00149
data-sort-value=0.93524
data-sort-value=0.93182
data-sort-value=0.88630 and
data-sort-value=0.86715
data-sort-value=0.86708
data-sort-value=0.85204
data-sort-value=0.84638
data-sort-value=0.84392
data-sort-value=0.83745
data-sort-value=0.82961
data-sort-value=0.79291
data-sort-value=0.76786 and
data-sort-value=0.75021
data-sort-value=0.71779
data-sort-value=0.71404
data-sort-value=0.70721
data-sort-value=0.67568
data-sort-value=0.61502
data-sort-value=0.59406
data-sort-value=0.55019
data-sort-value=0.54210
data-sort-value=0.51856
data-sort-value=0.51643
data-sort-value=0.51507
data-sort-value=0.46730
data-sort-value=0.46693
data-sort-value=0.43631
data-sort-value=0.42904
data-sort-value=0.42398
data-sort-value=0.40947
data-sort-value=0.40859
data-sort-value=0.40338
data-sort-value=0.38773
data-sort-value=0.38584
data-sort-value=0.38447
data-sort-value=0.37370
data-sort-value=0.37217
data-sort-value=0.37120
data-sort-value=0.36874
data-sort-value=0.36816
data-sort-value=0.36792
data-sort-value=0.36211
data-sort-value=0.35084
data-sort-value=0.35055
data-sort-value=0.34313
data-sort-value=0.30965
data-sort-value=0.30596
data-sort-value=0.29978
data-sort-value=0.29288
data-sort-value=0.28842
data-sort-value=0.28437
data-sort-value=0.27006
data-sort-value=0.26969
data-sort-value=0.26604
data-sort-value=0.26380
data-sort-value=0.25468
data-sort-value=0.24910
data-sort-value=0.24824
data-sort-value=0.23825
data-sort-value=0.23704
data-sort-value=0.23142
data-sort-value=0.21407
data-sort-value=0.21229
data-sort-value=0.21099
data-sort-value=0.19583
data-sort-value=0.18888
data-sort-value=0.18771
data-sort-value=0.18240
data-sort-value=0.18120
data-sort-value=0.18072
data-sort-value=0.17415
data-sort-value=0.16204
data-sort-value=0.15812
data-sort-value=0.13718
data-sort-value=0.13617
data-sort-value=0.13557
data-sort-value=0.13284
data-sort-value=0.13261
data-sort-value=0.12813
data-sort-value=0.12151
data-sort-value=0.11748
data-sort-value=0.11597
data-sort-value=0.11276
data-sort-value=0.10832
data-sort-value=0.09674
data-sort-value=0.09540
data-sort-value=0.09245
data-sort-value=0.08305
data-sort-value=0.07880
data-sort-value=0.07379
data-sort-value=0.07355
data-sort-value=0.06942
data-sort-value=0.06602
data-sort-value=0.06120
data-sort-value=0.05029
data-sort-value=0.04417
data-sort-value=0.04256
data-sort-value=0.04142
data-sort-value=0.03825
data-sort-value=0.03593
data-sort-value=0.03566
data-sort-value=0.03370
data-sort-value=0.03028
data-sort-value=0.03001
data-sort-value=0.02790
data-sort-value=0.02658
data-sort-value=0.02523
data-sort-value=0.02298
data-sort-value=0.02141
data-sort-value=0.02131
data-sort-value=0.01827
data-sort-value=0.01733
data-sort-value=0.01386
data-sort-value=0.01211
data-sort-value=0.01194
data-sort-value=0.01159
data-sort-value=0.01153
data-sort-value=0.00903
data-sort-value=0.00801
data-sort-value=0.00800
data-sort-value=0.00740
data-sort-value=0.00687
data-sort-value=0.00596
data-sort-value=0.00594
data-sort-value=0.00519
data-sort-value=0.00509
data-sort-value=0.00474
data-sort-value=0.00440
data-sort-value=0.00399
data-sort-value=0.00386
data-sort-value=0.00358
data-sort-value=0.00294
data-sort-value=0.00291
data-sort-value=0.00244
data-sort-value=0.00232
data-sort-value=0.00179
data-sort-value=0.00163
data-sort-value=0.00146
data-sort-value=0.00140
data-sort-value=0.00139
data-sort-value=0.00109
data-sort-value=0.00087
data-sort-value=0.00069
data-sort-value=0.00068
data-sort-value=0.00067
data-sort-value=0.00054
data-sort-value=0.00022
data-sort-value=0.00016
data-sort-value=539.80039 Global Total
data-sort-value=66.13448
data-sort-value=4.94615
data-sort-value=7.45959

See also

External links

Notes and References

  1. Web site: . Land Use, Land-Use Change and Forestry (LULUCF) . unfccc.int . 2024-09-23.
  2. Web site: Per capita greenhouse gas emissions . Our World in Data . 2024-09-23.
  3. Web site: China's Emissions: More Than U.S. Plus Europe, and Still Rising . . 2018-01-25.
  4. News: Chinese coal fuels rise in global carbon emissions . . 2017-11-14 . 2024-09-23.
  5. Web site: PBL Netherlands Environmental Assessment Agency . China now no. 1 in emissions; USA in second position . pbl.nl . Planbureau voor de Leefomgeving . https://web.archive.org/web/20140815113444/http://www.pbl.nl/en/dossiers/Climatechange/Chinanowno1inCO2emissionsUSAinsecondposition . 2014-08-15.
  6. Roser . Max . Max Roser . Ritchie . Hannah . Hannah Ritchie . CO2 and other Greenhouse Gas Emissions . Our World in Data . https://web.archive.org/web/20190704093506/https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions . 4 July 2019 . 11 May 2017 . 2024-09-23.
  7. Web site: Crippa, M.; Guizzardi, D.; Pagani, F.; Banja, M.; Muntean, M.; Schaaf, E.; Monforti-Ferrario, F.; Becker, W.E.; Quadrelli, R.; Risquez Martin, A.; Taghavi-Moharamli, P.; Köykkä, J.; Grassi, G.; Rossi, S.; Melo, J.; Oom, D.; Branco, A.; San-Miguel, J.; Manca, G.; Pisoni, E.; Vignati, E.; Pekar, F. . GHG emissions of all world countries – 2024 . Publications Office of the European Union . Luxembourg . 2024 . 10.2760/4002897 . 2024-09-23.
  8. Web site: Ritchie . Hannah . Roser . Max . Consumption-based (trade-adjusted) emissions . Our World in Data . 2024-09-23.
  9. Book: Climate Change 2021 The Physical Science Basis Summary for Policymakers . . 2021 . 40 . 978-92-9169-158-6.
  10. Web site: Klugman . Cornelia . The EU, a world leader in fighting climate change . European Parliament Think Tank . 2024-09-23.