Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentation by country
The FAOSTAT domain Emissions Totals summarizes the greenhouse gas (GHG) emissions generated from agriculture and forest land. They consist of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) emissions from crop and livestock activities, forest management and include land use and land use change...
What the numbers show
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentation is currently reported for 192 countries. The highest value is 457,538 in India; the lowest is 0.1454 in Nauru.
The median across all reporting countries is 3,292, and the mean is 17,732.
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 457,538 | 2050 | β | rising |
| 2 | Brazil | 429,705 | 2050 | β | rising |
| 3 | China | 370,060 | 2050 | β | rising |
| 4 | United States | 175,209 | 2050 | β | falling |
| 5 | Pakistan | 125,886 | 2050 | β | rising |
| 6 | Argentina | 112,063 | 2050 | β | rising |
| 7 | Australia | 78,848 | 2050 | β | falling |
| 8 | Mexico | 76,652 | 2050 | β | rising |
| 9 | Colombia | 68,259 | 2050 | β | rising |
| 10 | Russia | 57,586 | 2050 | β | falling |
| 11 | Ethiopia | 57,445 | 2050 | β | rising |
| 12 | Sudan | 49,809 | 2019 | up 4.9% | flat |
| 13 | Myanmar | 40,582 | 2050 | β | rising |
| 14 | Nigeria | 39,991 | 2050 | β | rising |
| 15 | Venezuela | 39,390 | 2050 | β | rising |
| 16 | Bangladesh | 37,202 | 2050 | β | rising |
| 17 | France | 36,172 | 2050 | β | falling |
| 18 | Iran | 35,629 | 2050 | β | rising |
| 19 | Chad | 34,602 | 2050 | β | volatile |
| 20 | Tanzania | 34,116 | 2050 | β | rising |
| 21 | Kenya | 33,242 | 2050 | β | rising |
| 22 | Indonesia | 32,049 | 2050 | β | rising |
| 23 | Vietnam | 31,789 | 2050 | β | rising |
| 24 | New Zealand | 30,709 | 2050 | β | flat |
| 25 | Paraguay | 30,254 | 2050 | β | rising |
| 26 | Somalia | 28,272 | 2050 | β | rising |
| 27 | Canada | 28,006 | 2050 | β | flat |
| 28 | Germany | 26,344 | 2050 | β | falling |
| 29 | United Kingdom | 25,329 | 2050 | β | falling |
| 30 | Turkey | 24,525 | 2050 | β | falling |
| 31 | Uruguay | 23,702 | 2050 | β | rising |
| 32 | South Africa | 21,748 | 2050 | β | rising |
| 33 | Niger | 21,480 | 2050 | β | rising |
| 34 | Mali | 21,260 | 2050 | β | rising |
| 35 | South Sudan | 19,422 | 2019 | up 11.2% | rising |
| 36 | Peru | 18,449 | 2050 | β | rising |
| 37 | Philippines | 18,411 | 2050 | β | rising |
| 38 | Nepal | 18,167 | 2050 | β | rising |
| 39 | Burkina Faso | 18,150 | 2050 | β | volatile |
| 40 | Afghanistan | 16,901 | 2050 | β | rising |
| 41 | Uganda | 16,731 | 2050 | β | volatile |
| 42 | Spain | 16,712 | 2050 | β | rising |
| 43 | Uzbekistan | 16,594 | 2050 | β | rising |
| 44 | Bolivia | 16,358 | 2050 | β | rising |
| 45 | Egypt | 15,862 | 2050 | β | rising |
| 46 | Ukraine | 15,647 | 2050 | β | volatile |
| 47 | Madagascar | 15,188 | 2050 | β | rising |
| 48 | Kazakhstan | 15,068 | 2050 | β | flat |
| 49 | Italy | 14,185 | 2050 | β | falling |
| 50 | Ecuador | 13,986 | 2050 | β | rising |
| 51 | Thailand | 13,436 | 2050 | β | falling |
| 52 | Ireland | 12,650 | 2050 | β | rising |
| 53 | Mongolia | 12,328 | 2050 | β | rising |
| 54 | Poland | 12,036 | 2050 | β | falling |
| 55 | Nicaragua | 10,798 | 2050 | β | rising |
| 56 | Chile | 10,446 | 2050 | β | rising |
| 57 | Cameroon | 9,261 | 2050 | β | rising |
| 58 | Morocco | 9,139 | 2050 | β | rising |
| 59 | Senegal | 8,768 | 2050 | β | rising |
| 60 | Mauritania | 8,710 | 2050 | β | rising |
| 61 | Algeria | 8,710 | 2050 | β | rising |
| 62 | Cuba | 8,664 | 2050 | β | falling |
| 63 | Central African Republic | 8,636 | 2050 | β | volatile |
| 64 | Netherlands | 8,479 | 2050 | β | falling |
| 65 | Angola | 8,476 | 2050 | β | rising |
| 66 | Belarus | 8,405 | 2050 | β | falling |
| 67 | Romania | 8,288 | 2050 | β | falling |
| 68 | Guatemala | 8,259 | 2050 | β | rising |
| 69 | Cambodia | 7,926 | 2050 | β | rising |
| 70 | Syria | 7,751 | 2050 | β | rising |
| 71 | Laos | 7,569 | 2050 | β | rising |
| 72 | Guinea | 7,415 | 2050 | β | volatile |
| 73 | Turkmenistan | 7,331 | 2050 | β | rising |
| 74 | Japan | 7,256 | 2050 | β | rising |
| 75 | Yemen | 7,000 | 2050 | β | rising |
| 76 | South Korea | 6,875 | 2050 | β | rising |
| 77 | Iraq | 6,524 | 2050 | β | falling |
| 78 | Dominican Republic | 6,236 | 2050 | β | rising |
| 79 | Azerbaijan | 5,134 | 2050 | β | rising |
| 80 | Belgium | 4,818 | 2050 | β | falling |
| 81 | Mozambique | 4,806 | 2050 | β | rising |
| 82 | Honduras | 4,527 | 2050 | β | rising |
| 83 | Haiti | 4,269 | 2050 | β | rising |
| 84 | Eritrea | 4,140 | 2050 | β | rising |
| 85 | El Salvador | 4,046 | 2050 | β | rising |
| 86 | Benin | 3,955 | 2050 | β | volatile |
| 87 | Switzerland | 3,936 | 2050 | β | falling |
| 88 | Botswana | 3,912 | 2050 | β | rising |
| 89 | Austria | 3,900 | 2050 | β | falling |
| 90 | Greece | 3,821 | 2050 | β | falling |
| 91 | Ghana | 3,702 | 2050 | β | rising |
| 92 | Tajikistan | 3,686 | 2050 | β | rising |
| 93 | Denmark | 3,682 | 2050 | β | falling |
| 94 | Panama | 3,527 | 2050 | β | rising |
| 95 | Serbia | 3,390 | 2050 | β | rising |
| 96 | Tunisia | 3,313 | 2050 | β | rising |
| 97 | Kyrgyzstan | 3,270 | 2050 | β | rising |
| 98 | Namibia | 3,266 | 2050 | β | rising |
| 99 | Portugal | 3,192 | 2050 | β | falling |
| 100 | Democratic Republic of Congo | 3,057 | 2050 | β | rising |
| 101 | Sweden | 3,027 | 2050 | β | falling |
| 102 | Costa Rica | 2,716 | 2050 | β | falling |
| 103 | Norway | 2,656 | 2050 | β | falling |
| 104 | Cote d'Ivoire | 2,621 | 2050 | β | rising |
| 105 | Libya | 2,614 | 2050 | β | rising |
| 106 | Czechia | 2,592 | 2050 | β | falling |
| 107 | North Korea | 2,573 | 2050 | β | rising |
| 108 | Sri Lanka | 2,538 | 2050 | β | falling |
| 109 | Albania | 2,406 | 2050 | β | rising |
| 110 | Malawi | 2,370 | 2050 | β | volatile |
| 111 | Rwanda | 2,345 | 2050 | β | rising |
| 112 | Saudi Arabia | 2,004 | 2050 | β | rising |
| 113 | Finland | 1,922 | 2050 | β | falling |
| 114 | Georgia | 1,908 | 2050 | β | rising |
| 115 | Lithuania | 1,898 | 2050 | β | falling |
| 116 | Bulgaria | 1,882 | 2050 | β | falling |
| 117 | Hungary | 1,877 | 2050 | β | falling |
| 118 | Togo | 1,622 | 2050 | β | rising |
| 119 | Bosnia and Herzegovina | 1,609 | 2050 | β | rising |
| 120 | Malaysia | 1,604 | 2050 | β | rising |
| 121 | Croatia | 1,426 | 2050 | β | falling |
| 122 | Lesotho | 1,385 | 2050 | β | rising |
| 123 | Burundi | 1,155 | 2050 | β | rising |
| 124 | Slovakia | 1,084 | 2050 | β | falling |
| 125 | Moldova | 1,065 | 2050 | β | falling |
| 126 | Armenia | 1,006 | 2050 | β | rising |
| 127 | Puerto Rico | 974.66 | 2050 | β | falling |
| 128 | United Arab Emirates | 962.07 | 2050 | β | volatile |
| 129 | Sierra Leone | 949.61 | 2050 | β | rising |
| 130 | Eswatini | 947.41 | 2050 | β | rising |
| 131 | North Macedonia | 913.43 | 2050 | β | falling |
| 132 | Slovenia | 884.88 | 2050 | β | falling |
| 133 | Guinea-Bissau | 884.87 | 2050 | β | rising |
| 134 | Latvia | 859.83 | 2050 | β | falling |
| 135 | Fiji | 845.07 | 2050 | β | rising |
| 136 | Gambia | 765.65 | 2050 | β | rising |
| 137 | Oman | 661.59 | 2050 | β | volatile |
| 138 | Bhutan | 621.75 | 2050 | β | rising |
| 139 | Jamaica | 620.85 | 2050 | β | falling |
| 140 | East Timor | 602.51 | 2050 | β | rising |
| 141 | Jordan | 592.34 | 2050 | β | rising |
| 142 | Estonia | 554.61 | 2050 | β | falling |
| 143 | Israel | 552.17 | 2050 | β | rising |
| 144 | Taiwan | 542.4 | 2050 | β | falling |
| 145 | Congo | 461.27 | 2050 | β | volatile |
| 146 | Vanuatu | 387.78 | 2050 | β | rising |
| 147 | Montenegro | 383.68 | 2050 | β | rising |
| 148 | Luxembourg | 334.99 | 2050 | β | falling |
| 149 | Papua New Guinea | 330.91 | 2050 | β | rising |
| 150 | Iceland | 313.51 | 2050 | β | falling |
| 151 | Guyana | 290.48 | 2050 | β | falling |
| 152 | Palestine | 247.12 | 2050 | β | rising |
| 153 | New Caledonia | 223.47 | 2050 | β | falling |
| 154 | Lebanon | 210.93 | 2050 | β | rising |
| 155 | Liberia | 178.89 | 2050 | β | rising |
| 156 | Belize | 152.52 | 2050 | β | rising |
| 157 | Cyprus | 143.98 | 2050 | β | rising |
| 158 | Kuwait | 131.78 | 2050 | β | rising |
| 159 | Suriname | 126.39 | 2050 | β | rising |
| 160 | Gabon | 100.82 | 2050 | β | rising |
| 161 | Trinidad and Tobago | 90.87 | 2050 | β | falling |
| 162 | Comoros | 88.75 | 2050 | β | rising |
| 163 | Samoa | 86.64 | 2050 | β | rising |
| 164 | Cape Verde | 74.21 | 2050 | β | rising |
| 165 | Qatar | 66.14 | 2050 | β | volatile |
| 166 | Micronesia (country) | 54.27 | 2050 | β | rising |
| 167 | Antigua and Barbuda | 48.08 | 2050 | β | rising |
| 168 | Malta | 46.99 | 2050 | β | rising |
| 169 | Solomon Islands | 39.47 | 2050 | β | rising |
| 170 | Dominica | 39.45 | 2050 | β | rising |
| 171 | Tonga | 39.04 | 2050 | β | rising |
| 172 | Barbados | 32.33 | 2050 | β | falling |
| 173 | Saint Lucia | 28.8 | 2050 | β | rising |
| 174 | French Polynesia | 22.9 | 2050 | β | falling |
| 175 | Bahrain | 22.46 | 2050 | β | rising |
| 176 | Faroe Islands | 21.86 | 2050 | β | falling |
| 177 | Saint Kitts and Nevis | 17.27 | 2050 | β | falling |
| 178 | Saint Vincent and the Grenadines | 15.75 | 2050 | β | falling |
| 179 | Grenada | 13.81 | 2050 | β | falling |
| 180 | Equatorial Guinea | 13.67 | 2050 | β | rising |
| 181 | Brunei | 13.07 | 2050 | β | volatile |
| 182 | Mauritius | 11 | 2050 | β | falling |
| 183 | Hong Kong | 6.8 | 2050 | β | volatile |
| 184 | Sao Tome and Principe | 5.95 | 2050 | β | rising |
| 185 | Bahamas | 5.86 | 2050 | β | falling |
| 186 | Cook Islands | 2.56 | 2050 | β | volatile |
| 187 | Seychelles | 2.35 | 2050 | β | falling |
| 188 | Tuvalu | 0.8166 | 2050 | β | rising |
| 189 | Kiribati | 0.7542 | 2050 | β | rising |
| 190 | Niue | 0.5082 | 2050 | β | volatile |
| 191 | Singapore | 0.351 | 2050 | β | volatile |
| 192 | Nauru | 0.1454 | 2050 | β | rising |
About this data
The FAOSTAT domain Emissions Totals summarizes the greenhouse gas (GHG) emissions generated from agriculture and forest land. They consist of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) emissions from crop and livestock activities, forest management and include land use and land use change processes. Data are computed at Tier 1 of the IPCC Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). Estimates are available by country, with global coverage for the period 1961β2019 with projections for 2030 and 2050 for some categories of emissions or 1990β2019 for others. The database is updated annually. The FAOSTAT domain Emissions Totals disseminates information estimates of CH4, N2O and CO2 emissions/removals and their aggregates in CO2eq in units of kilotonnes (kt, or 106 kg). The latter are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014).