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Ranked: World Carbon Emissions by Country [1]
['Pallavi Rao']
Date: 2025-05-22 07:33:07-07:00
Visualized: Share of World Carbon Emissions by Country
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Key Takeaways China accounts for 26.2% of world carbon emissions, while the U.S. is responsible for another 11.5%.
accounts for 26.2% of world carbon emissions, while is responsible for another 11.5%. This was equivalent to 12.7 billion tons of carbon dioxide for China and 5.6 billion tCO 2 e for the U.S. in 2022.
e for the U.S. in 2022. Most of the top 10 emitters are also the world’s most populous countries, barring Iran, Saudi Arabia, and Canada.
This graphic breaks down the share of global carbon emissions by country, categorized into income groups.
Countries with a share below 0.4% are combined into the “other” group in each income category.
Data for this chart is sourced from Climate Watch for the year 2022—the latest available figures. Income group categorization uses the current World Bank classification system.
ℹ️ Income group classification is based off gross national income (GNI) per capita data in U.S. dollars, converted from local currencies. Upper and lower middle-income groups have been combined into one for this graphic.
Share of World Carbon Emissions by Country in 2022
Ranked first, China accounts for 26% of all global emissions, measured at 12.7 billion tCO 2 e in 2022. For reference, China has a population of 1.4 billion people.
Rank Country ISO Code Share of
Total Emissions Carbon Emissions (in
million tCO 2 e, 2022) 1 🇨🇳 China CHN 26.16% 12,716 2 🇺🇸 U.S. USA 11.53% 5,604 3 🇮🇳 India IND 7.69% 3,737 4 🇷🇺 Russia RUS 3.75% 1,821 5 🇧🇷 Brazil BRA 3.16% 1,538 6 🇮🇩 Indonesia IDN 3.15% 1,530 7 🇯🇵 Japan JPN 2.15% 1,044 8 🇮🇷 Iran IRN 2.06% 1,004 9 🇸🇦 Saudi Arabia SAU 1.60% 775 10 🇨🇦 Canada CAN 1.54% 750 11 🇨🇩 DRC COD 1.44% 700 12 🇩🇪 Germany DEU 1.43% 696 13 🇲🇽 Mexico MEX 1.31% 637 14 🇰🇷 South Korea KOR 1.29% 627 15 🇦🇺 Australia AUS 1.18% 574 16 🇿🇦 South Africa ZAF 1.09% 530 17 🇵🇰 Pakistan PAK 1.04% 505 18 🇹🇷 Türkiye TUR 1.02% 497 19 🇹🇭 Thailand THA 0.96% 466 20 🇻🇳 Vietnam VNM 0.93% 454 21 🇦🇷 Argentina ARG 0.88% 429 22 🇬🇧 UK GBR 0.85% 414 23 🇲🇾 Malaysia MYS 0.80% 387 24 🇮🇹 Italy ITA 0.76% 370 25 🇳🇬 Nigeria NGA 0.73% 356 26 🇵🇱 Poland POL 0.72% 348 27 🇪🇬 Egypt EGY 0.69% 336 28 🇫🇷 France FRA 0.68% 330 29 🇰🇿 Kazakhstan KAZ 0.68% 328 30 🇮🇶 Iraq IRQ 0.63% 305 31 🇩🇿 Algeria DZA 0.60% 293 32 🇨🇴 Colombia COL 0.57% 279 33 🇪🇸 Spain ESP 0.57% 275 34 🇻🇪 Venezuela VEN 0.54% 264 35 🇧🇩 Bangladesh BGD 0.52% 255 36 🇦🇪 UAE ARE 0.52% 253 37 🇵🇭 Philippines PHL 0.51% 247 38 🇹🇲 Turkmenistan TKM 0.44% 215 39 🇲🇲 Myanmar MMR 0.43% 209 40 🇪🇹 Ethiopia ETH 0.43% 209 41 🇵🇪 Peru PER 0.41% 199 42 🇺🇿 Uzbekistan UZB 0.38% 187 43 🇹🇿 Tanzania TZA 0.36% 176 44 🇺🇦 Ukraine UKR 0.35% 169 45 🇳🇱 Netherlands NLD 0.31% 153 46 🇰🇼 Kuwait KWT 0.31% 149 47 🇧🇴 Bolivia BOL 0.28% 136 48 🇦🇴 Angola AGO 0.27% 134 49 🇨🇲 Cameroon CMR 0.27% 131 50 🇸🇩 Sudan SDN 0.26% 128 51 🇶🇦 Qatar QAT 0.25% 122 52 🇹🇩 Chad TCD 0.25% 119 53 🇿🇼 Zimbabwe ZWE 0.24% 117 54 🇲🇿 Mozambique MOZ 0.24% 115 55 🇨🇿 Czech Republic CZE 0.22% 106 56 🇴🇲 Oman OMN 0.22% 106 57 🇪🇨 Ecuador ECU 0.21% 103 58 🇱🇾 Libya LBY 0.21% 102 59 🇿🇲 Zambia ZMB 0.20% 96 60 🇵🇾 Paraguay PRY 0.20% 95 61 🇧🇪 Belgium BEL 0.19% 95 62 🇲🇦 Morocco MAR 0.19% 92 63 🇮🇱 Israel ISR 0.18% 89 64 🇰🇵 North Korea PRK 0.18% 87 65 🇧🇾 Belarus BLR 0.17% 84 66 🇲🇳 Mongolia MNG 0.17% 82 67 🇰🇪 Kenya KEN 0.17% 81 68 🇰🇭 Cambodia KHM 0.16% 77 69 🇷🇴 Romania ROU 0.16% 77 70 🇬🇷 Greece GRC 0.15% 72 71 🇸🇬 Singapore SGP 0.14% 70 72 🇳🇿 New Zealand NZL 0.14% 68 73 🇮🇪 Ireland IRL 0.14% 67 74 🇸🇸 South Sudan SSD 0.13% 64 75 🇦🇹 Austria AUT 0.13% 63 76 🇷🇸 Serbia SRB 0.13% 63 77 🇺🇬 Uganda UGA 0.13% 61 78 🇨🇮 Côte d'Ivoire CIV 0.12% 61 79 🇫🇮 Finland FIN 0.12% 60 80 🇧🇼 Botswana BWA 0.12% 60 81 🇧🇫 Burkina Faso BFA 0.12% 59 82 🇭🇺 Hungary HUN 0.12% 59 83 🇸🇾 Syria SYR 0.12% 58 84 🇨🇫 Central
African Republic CAF 0.12% 58 85 🇦🇿 Azerbaijan AZE 0.12% 57 86 🇧🇭 Bahrain BHR 0.12% 57 87 🇵🇬 Papua
New Guinea PNG 0.11% 55 88 🇵🇹 Portugal PRT 0.11% 54 89 🇳🇵 Nepal NPL 0.11% 53 90 🇳🇪 Niger NER 0.11% 53 91 🇨🇱 Chile CHL 0.11% 52 92 🇲🇱 Mali MLI 0.10% 47 93 🇸🇧 Solomon Islands SLB 0.10% 46 94 🇩🇴 Dominican Republic DOM 0.09% 45 95 🇱🇦 Laos LAO 0.09% 45 96 🇲🇬 Madagascar MDG 0.09% 43 97 🇸🇴 Somalia SOM 0.09% 43 98 🇬🇹 Guatemala GTM 0.09% 43 99 🇬🇳 Guinea GIN 0.09% 43 100 🇩🇰 Denmark DNK 0.09% 43 101 🇨🇭 Switzerland CHE 0.08% 41 102 🇳🇮 Nicaragua NIC 0.08% 40 103 🇸🇳 Senegal SEN 0.08% 39 104 🇹🇳 Tunisia TUN 0.08% 39 105 🇱🇰 Sri Lanka LKA 0.08% 36 106 🇺🇾 Uruguay URY 0.07% 36 107 🇯🇴 Jordan JOR 0.07% 36 108 🇸🇰 Slovakia SVK 0.07% 35 109 🇸🇪 Sweden SWE 0.07% 34 110 🇦🇫 Afghanistan AFG 0.07% 33 111 🇳🇴 Norway NOR 0.06% 32 112 🇨🇬 Congo COG 0.06% 31 113 🇨🇺 Cuba CUB 0.06% 30 114 🇭🇳 Honduras HND 0.06% 29 115 🇾🇪 Yemen YEM 0.06% 28 116 🇧🇯 Benin BEN 0.05% 26 117 🇹🇹 Trinidad
& Tobago TTO 0.05% 24 118 🇧🇦 Bosnia &
Herzegovina BIH 0.05% 24 119 🇵🇦 Panama PAN 0.05% 24 120 🇱🇹 Lithuania LTU 0.05% 24 121 🇳🇦 Namibia NAM 0.05% 22 122 🇬🇦 Gabon GAB 0.04% 22 123 🇲🇼 Malawi MWI 0.04% 21 124 🇧🇬 Bulgaria BGR 0.04% 20 125 🇬🇾 Guyana GUY 0.04% 20 126 🇬🇪 Georgia GEO 0.04% 19 127 🇹🇯 Tajikistan TJK 0.04% 19 128 🇱🇧 Lebanon LBN 0.04% 18 129 🇭🇷 Croatia HRV 0.04% 18 130 🇬🇭 Ghana GHA 0.04% 18 131 🇪🇪 Estonia EST 0.04% 18 132 🇸🇮 Slovenia SVN 0.03% 16 133 🇱🇷 Liberia LBR 0.03% 15 134 🇸🇻 El Salvador SLV 0.03% 14 135 🇰🇬 Kyrgyzstan KGZ 0.03% 14 136 🇲🇷 Mauritania MRT 0.03% 14 137 🇸🇷 Suriname SUR 0.03% 14 138 🇲🇩 Moldova MDA 0.03% 13 139 🇬🇶 Equatorial Guinea GNQ 0.02% 12 140 🇭🇹 Haiti HTI 0.02% 12 141 🇧🇳 Brunei BRN 0.02% 12 142 🇱🇻 Latvia LVA 0.02% 11 143 🇦🇲 Armenia ARM 0.02% 11 144 🇹🇬 Togo TGO 0.02% 11 145 🇲🇰 North Macedonia MKD 0.02% 10 146 🇸🇱 Sierra Leone SLE 0.02% 10 147 🇷🇼 Rwanda RWA 0.02% 10 148 🇯🇲 Jamaica JAM 0.02% 9 149 🇨🇷 Costa Rica CRI 0.02% 9 150 🇨🇾 Cyprus CYP 0.02% 8 151 🇧🇮 Burundi BDI 0.02% 8 152 🇦🇱 Albania ALB 0.02% 8 153 🇱🇺 Luxembourg LUX 0.02% 8 154 🇪🇷 Eritrea ERI 0.01% 7 155 🇲🇺 Mauritius MUS 0.01% 7 156 🇧🇿 Belize BLZ 0.01% 7 157 🇹🇱 East Timor TLS 0.01% 6 158 🇬🇼 Guinea-Bissau GNB 0.01% 4 159 🇱🇸 Lesotho LSO 0.01% 4 160 🇲🇪 Montenegro MNE 0.01% 4 161 🇧🇧 Barbados BRB 0.01% 4 162 🇮🇸 Iceland ISL 0.01% 3 163 🇸🇿 Eswatini SWZ 0.01% 3 164 🇧🇸 Bahamas BHS 0.01% 3 165 🇬🇲 Gambia GMB 0.01% 3 166 🇲🇻 Maldives MDV 0.01% 3 167 🇬🇩 Grenada GRD 0.00% 2 168 🇲🇹 Malta MLT 0.00% 2 169 🇩🇯 Djibouti DJI 0.00% 2 170 🇦🇬 Antigua
& Barbuda ATG 0.00% 2 171 🇸🇨 Seychelles SYC 0.00% 1 172 🇱🇨 Saint Lucia LCA 0.00% 1 173 🇧🇹 Bhutan BTN 0.00% 1 174 🇰🇲 Comoros COM 0.00% 1 175 🇨🇻 Cabo Verde CPV 0.00% 1 176 🇻🇺 Vanuatu VUT 0.00% 1 177 🇼🇸 Samoa WSM 0.00% 1 178 🇦🇩 Andorra AND 0.00% 1 179 🇸🇹 São Tomé
& Principe STP 0.00% 0.4 180 🇰🇳 Saint Kitts
& Nevis KNA 0.00% 0.4 181 🇻🇨 Saint Vincent
& the Grenadines VCT 0.00% 0.3 182 🇹🇴 Tonga TON 0.00% 0.3 183 🇵🇼 Palau PLW 0.00% 0.2 184 🇩🇲 Dominica DMA 0.00% 0.2 185 🇲🇭 Marshall Islands MHL 0.00% 0.2 186 🇫🇲 Micronesia FSM 0.00% 0.2 187 🇱🇮 Liechtenstein LIE 0.00% 0.2 188 🇰🇮 Kiribati KIR 0.00% 0.1 189 🇨🇰 Cook Islands COK 0.00% 0.1 190 🇳🇷 Nauru NRU 0.00% 0.1 191 🇹🇻 Tuvalu TUV 0.00% 0.02 192 🇳🇺 Niue NIU 0.00% 0.01 N/A 🌎 World N/A N/A 48,612
Meanwhile, at second place, the U.S. is responsible for another 11.5% of all emissions, with a population of 333 million people.
The two countries together account for 38% of the entire world’s emissions. This is slightly less than their share of the world economy (43%) and a lot more than their share of the world’s population (22%).
On a per capita basis, the U.S. produces almost double the emissions per person (14 tCO 2 e) compared to China (8 tCO 2 e).
Most of the top 10 emitters are also the world’s most populous countries, barring Iran, Saudi Arabia, and Canada.
Developing Countries Are Driving Emissions Growth
Another obvious takeaway from the chart is how middle-income countries are responsible for the largest share of emissions.
Before we can go into the why, there is also some simple arithmetic at play. For one, more countries are in the middle-income distribution than high- or low-income categories.
And many of these middle-income countries have large, growing populations, which increases aggregate emissions.
However, it is also true that they are driving global carbon emissions growth. And this is because:
They are prioritizing economic development, leading to an overall increase in energy consumption (and related emissions). Most emissions-heavy industries and manufacturing plants have moved from high-income countries to middle- and low-income ones. Thus, high-income countries are able to sustain their consumption levels while the emissions from producing the goods they consume are accounted for elsewhere.
This last point is particularly crucial when it comes to emissions math. In fact, when accounting for these consumption-based emissions on a per capita basis, high-income countries are still responsible for a significant part of global carbon emissions.
Learn More on the Voronoi App
Wondering what the same chart looks like, but with an economic lens? Check out: World’s Carbon Emissions by Sector for a similar breakdown.
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[1] Url:
https://www.visualcapitalist.com/ranked-world-carbon-emissions-by-country/
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