Emission Totals - Emissions (CO2eq) (AR5) - Emissions on agricultural land 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) (AR5) - Emissions on agricultural land is currently reported for 213 countries. The highest value is 946,808 in China; the lowest is 0 in United States Virgin Islands.
The median across all reporting countries is 5,194, and the mean is 31,488.
Over the past decade 6 countries rose and 9 fell. The largest increase was in Northern Mariana Islands (up 522.1%), and the largest decrease in United States Virgin Islands (down 100.0%).
Emission Totals - Emissions (CO2eq) (AR5) - Emissions on agricultural: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 946,808 | 2050 | β | rising |
| 1 | Djibouti | 916.45 | 2050 | β | rising |
| 2 | India | 882,354 | 2050 | β | rising |
| 3 | Brazil | 631,766 | 2050 | β | falling |
| 4 | United States | 389,318 | 2050 | β | falling |
| 5 | Pakistan | 216,037 | 2050 | β | rising |
| 6 | Argentina | 167,535 | 2050 | β | falling |
| 7 | Indonesia | 161,881 | 2050 | β | falling |
| 8 | Australia | 131,051 | 2050 | β | falling |
| 9 | Mexico | 121,899 | 2050 | β | flat |
| 10 | Myanmar | 108,753 | 2050 | β | falling |
| 11 | Russia | 103,669 | 2050 | β | falling |
| 12 | Sudan | 99,909 | 2019 | up 2.3% | flat |
| 13 | Colombia | 99,398 | 2050 | β | falling |
| 14 | Bangladesh | 98,981 | 2050 | β | rising |
| 15 | Vietnam | 98,413 | 2050 | β | rising |
| 16 | Ethiopia | 92,096 | 2050 | β | rising |
| 17 | Nigeria | 89,424 | 2050 | β | rising |
| 18 | Philippines | 81,866 | 2050 | β | falling |
| 19 | France | 72,820 | 2050 | β | falling |
| 20 | Iran | 71,943 | 2050 | β | rising |
| 21 | Canada | 61,589 | 2050 | β | falling |
| 22 | Thailand | 60,579 | 2050 | β | falling |
| 23 | Tanzania | 59,229 | 2050 | β | flat |
| 24 | Venezuela | 57,202 | 2050 | β | falling |
| 25 | Germany | 56,321 | 2050 | β | falling |
| 26 | Turkey | 54,565 | 2050 | β | flat |
| 27 | Kenya | 52,910 | 2050 | β | rising |
| 28 | Chad | 52,428 | 2050 | β | rising |
| 29 | South Sudan | 50,509 | 2019 | down 10.5% | flat |
| 30 | New Zealand | 46,938 | 2050 | β | flat |
| 31 | United Kingdom | 44,788 | 2050 | β | falling |
| 32 | Egypt | 43,451 | 2050 | β | rising |
| 33 | Paraguay | 41,454 | 2050 | β | flat |
| 34 | Somalia | 40,976 | 2050 | β | flat |
| 35 | Spain | 39,869 | 2050 | β | flat |
| 36 | South Africa | 39,867 | 2050 | β | flat |
| 37 | Mali | 36,330 | 2050 | β | rising |
| 38 | Uruguay | 34,851 | 2050 | β | rising |
| 39 | Niger | 33,783 | 2050 | β | rising |
| 40 | Burkina Faso | 33,633 | 2050 | β | rising |
| 41 | Cambodia | 33,147 | 2050 | β | volatile |
| 42 | Italy | 32,920 | 2050 | β | falling |
| 43 | Madagascar | 32,586 | 2050 | β | falling |
| 44 | Peru | 32,022 | 2050 | β | falling |
| 45 | Ukraine | 31,076 | 2050 | β | falling |
| 46 | Uzbekistan | 29,446 | 2050 | β | rising |
| 47 | Uganda | 29,436 | 2050 | β | rising |
| 48 | Nepal | 29,323 | 2050 | β | rising |
| 49 | Poland | 27,110 | 2050 | β | falling |
| 50 | Afghanistan | 26,199 | 2050 | β | rising |
| 51 | Bolivia | 24,144 | 2050 | β | falling |
| 52 | Kazakhstan | 23,797 | 2050 | β | falling |
| 53 | Ecuador | 23,106 | 2050 | β | falling |
| 54 | Japan | 21,899 | 2050 | β | falling |
| 55 | Ireland | 20,006 | 2050 | β | falling |
| 56 | Morocco | 19,950 | 2050 | β | rising |
| 57 | Mongolia | 17,921 | 2050 | β | rising |
| 58 | Chile | 17,635 | 2050 | β | falling |
| 59 | South Korea | 17,266 | 2050 | β | falling |
| 60 | Netherlands | 16,722 | 2050 | β | falling |
| 61 | Iraq | 16,493 | 2050 | β | rising |
| 62 | Belarus | 16,186 | 2050 | β | falling |
| 63 | Romania | 16,117 | 2050 | β | falling |
| 64 | Cameroon | 16,100 | 2050 | β | falling |
| 65 | Syria | 15,921 | 2050 | β | rising |
| 66 | Senegal | 15,374 | 2050 | β | rising |
| 67 | Algeria | 15,174 | 2050 | β | rising |
| 68 | Guinea | 15,072 | 2050 | β | rising |
| 69 | Nicaragua | 14,982 | 2050 | β | falling |
| 70 | Mozambique | 14,610 | 2050 | β | falling |
| 71 | Angola | 14,481 | 2050 | β | falling |
| 72 | Cuba | 14,246 | 2050 | β | falling |
| 73 | Laos | 14,140 | 2050 | β | flat |
| 74 | Guatemala | 13,618 | 2050 | β | falling |
| 75 | Central African Republic | 13,564 | 2050 | β | falling |
| 76 | Mauritania | 13,336 | 2050 | β | rising |
| 77 | Yemen | 12,120 | 2050 | β | rising |
| 78 | Dominican Republic | 12,116 | 2050 | β | rising |
| 79 | Malaysia | 11,794 | 2050 | β | falling |
| 80 | Turkmenistan | 11,174 | 2050 | β | rising |
| 81 | Denmark | 10,010 | 2050 | β | falling |
| 82 | Belgium | 9,358 | 2050 | β | falling |
| 83 | North Korea | 9,167 | 2050 | β | volatile |
| 84 | Serbia | 8,692 | 2050 | β | rising |
| 85 | Azerbaijan | 8,318 | 2050 | β | rising |
| 86 | Ghana | 8,047 | 2050 | β | falling |
| 87 | Greece | 7,865 | 2050 | β | falling |
| 88 | Sri Lanka | 7,586 | 2050 | β | falling |
| 89 | Honduras | 7,385 | 2050 | β | falling |
| 90 | Tunisia | 7,374 | 2050 | β | rising |
| 91 | Malawi | 7,291 | 2050 | β | flat |
| 92 | Benin | 7,217 | 2050 | β | falling |
| 93 | Austria | 7,101 | 2050 | β | falling |
| 94 | Democratic Republic of Congo | 6,987 | 2050 | β | falling |
| 95 | Haiti | 6,514 | 2050 | β | rising |
| 96 | Portugal | 6,505 | 2050 | β | falling |
| 97 | Switzerland | 6,485 | 2050 | β | falling |
| 98 | El Salvador | 6,453 | 2050 | β | rising |
| 99 | Eritrea | 6,237 | 2050 | β | rising |
| 100 | Cote d'Ivoire | 6,119 | 2050 | β | falling |
| 101 | Hungary | 6,084 | 2050 | β | falling |
| 102 | Botswana | 5,972 | 2050 | β | falling |
| 103 | Sweden | 5,885 | 2050 | β | falling |
| 104 | Czechia | 5,805 | 2050 | β | falling |
| 105 | Taiwan | 5,455 | 2050 | β | flat |
| 106 | Tajikistan | 5,415 | 2050 | β | rising |
| 107 | Namibia | 5,194 | 2050 | β | falling |
| 108 | Kyrgyzstan | 5,116 | 2050 | β | rising |
| 109 | Saudi Arabia | 5,048 | 2050 | β | falling |
| 110 | Panama | 5,033 | 2050 | β | falling |
| 111 | Norway | 4,979 | 2050 | β | falling |
| 112 | Libya | 4,806 | 2050 | β | rising |
| 113 | Rwanda | 4,450 | 2050 | β | flat |
| 114 | Costa Rica | 4,440 | 2050 | β | falling |
| 115 | Bulgaria | 4,363 | 2050 | β | falling |
| 116 | Finland | 4,301 | 2050 | β | falling |
| 117 | Croatia | 4,090 | 2050 | β | falling |
| 118 | Albania | 3,963 | 2050 | β | falling |
| 119 | Lithuania | 3,852 | 2050 | β | falling |
| 120 | Georgia | 3,418 | 2050 | β | flat |
| 121 | Togo | 3,380 | 2050 | β | falling |
| 122 | Sierra Leone | 2,958 | 2050 | β | falling |
| 123 | Bosnia and Herzegovina | 2,822 | 2050 | β | rising |
| 124 | Slovakia | 2,441 | 2050 | β | falling |
| 125 | Papua New Guinea | 2,399 | 2050 | β | falling |
| 126 | Burundi | 2,180 | 2050 | β | falling |
| 127 | Lesotho | 2,144 | 2050 | β | rising |
| 128 | Moldova | 2,076 | 2050 | β | falling |
| 129 | Armenia | 1,999 | 2050 | β | rising |
| 130 | Guinea-Bissau | 1,734 | 2050 | β | falling |
| 131 | United Arab Emirates | 1,709 | 2050 | β | falling |
| 132 | Latvia | 1,683 | 2050 | β | falling |
| 133 | North Macedonia | 1,593 | 2050 | β | falling |
| 134 | Slovenia | 1,580 | 2050 | β | rising |
| 135 | Israel | 1,556 | 2050 | β | falling |
| 136 | Fiji | 1,493 | 2050 | β | falling |
| 137 | Guyana | 1,482 | 2050 | β | rising |
| 138 | Eswatini | 1,474 | 2050 | β | falling |
| 139 | Jordan | 1,454 | 2050 | β | rising |
| 140 | Gambia | 1,453 | 2050 | β | rising |
| 141 | Puerto Rico | 1,357 | 2050 | β | falling |
| 142 | East Timor | 1,194 | 2050 | β | rising |
| 143 | Oman | 1,062 | 2050 | β | rising |
| 144 | Estonia | 1,050 | 2050 | β | falling |
| 145 | Jamaica | 966.94 | 2050 | β | falling |
| 146 | Bhutan | 919.25 | 2050 | β | rising |
| 147 | Northern Mariana Islands | 909.6 | 2019 | up 522.1% | volatile |
| 148 | Suriname | 776.13 | 2050 | β | rising |
| 149 | Congo | 775.99 | 2050 | β | falling |
| 150 | Kuwait | 726.23 | 2050 | β | rising |
| 151 | Lebanon | 678.12 | 2050 | β | falling |
| 152 | Liberia | 665.04 | 2050 | β | falling |
| 153 | Vanuatu | 645.65 | 2050 | β | rising |
| 154 | Luxembourg | 573.03 | 2050 | β | falling |
| 155 | Montenegro | 566.52 | 2050 | β | flat |
| 156 | Iceland | 555.3 | 2050 | β | falling |
| 157 | Palestine | 450.31 | 2050 | β | rising |
| 158 | Cyprus | 395.45 | 2050 | β | falling |
| 159 | New Caledonia | 361.77 | 2050 | β | flat |
| 160 | Comoros | 357.87 | 2050 | β | rising |
| 161 | Trinidad and Tobago | 344.48 | 2050 | β | flat |
| 162 | Samoa | 319.61 | 2050 | β | rising |
| 163 | Belize | 271.68 | 2050 | β | falling |
| 164 | Gabon | 258.65 | 2050 | β | falling |
| 165 | Brunei | 224.82 | 2050 | β | volatile |
| 166 | Cape Verde | 219.91 | 2050 | β | rising |
| 167 | Greenland | 160.65 | 2019 | up 18.2% | rising |
| 168 | Tonga | 138.68 | 2050 | β | rising |
| 169 | Qatar | 131.58 | 2050 | β | rising |
| 170 | Solomon Islands | 119.22 | 2050 | β | falling |
| 171 | Barbados | 116.47 | 2050 | β | falling |
| 172 | Malta | 114.59 | 2050 | β | falling |
| 173 | Micronesia (country) | 108.54 | 2050 | β | volatile |
| 174 | Mauritius | 105.03 | 2050 | β | falling |
| 175 | Singapore | 73.38 | 2050 | β | falling |
| 176 | French Polynesia | 69.03 | 2050 | β | rising |
| 177 | Antigua and Barbuda | 67.86 | 2050 | β | falling |
| 178 | Dominica | 58.13 | 2050 | β | falling |
| 179 | Bahamas | 55.71 | 2050 | β | volatile |
| 180 | Saint Lucia | 52.16 | 2050 | β | falling |
| 181 | Bahrain | 47.21 | 2050 | β | falling |
| 182 | Cook Islands | 35.2 | 2050 | β | rising |
| 183 | Faroe Islands | 31.38 | 2050 | β | falling |
| 184 | Saint Vincent and the Grenadines | 27.23 | 2050 | β | rising |
| 185 | Saint Kitts and Nevis | 26.58 | 2050 | β | falling |
| 186 | Marshall Islands | 25.92 | 2019 | up 12.8% | rising |
| 187 | Gibraltar | 25.26 | 2019 | up 56.0% | rising |
| 188 | Equatorial Guinea | 25.26 | 2050 | β | volatile |
| 189 | Sao Tome and Principe | 23.92 | 2050 | β | volatile |
| 190 | Grenada | 23.66 | 2050 | β | falling |
| 191 | Hong Kong | 20.78 | 2050 | β | volatile |
| 192 | Andorra | 20.77 | 2019 | down 9.4% | falling |
| 193 | Kiribati | 20.06 | 2050 | β | rising |
| 194 | Seychelles | 15.22 | 2050 | β | falling |
| 195 | Tuvalu | 14.93 | 2050 | β | rising |
| 196 | Macao | 11.33 | 2050 | β | falling |
| 197 | Palau | 9.61 | 2019 | down 82.5% | volatile |
| 198 | Isle of Man | 7.13 | 2019 | down 9.7% | rising |
| 199 | Aruba | 6.77 | 2019 | down 19.6% | falling |
| 200 | Cayman Islands | 3.95 | 2019 | down 59.1% | falling |
| 201 | Turks and Caicos Islands | 3.08 | 2019 | up 25.2% | rising |
| 202 | Niue | 2.96 | 2050 | β | falling |
| 203 | Nauru | 2.6 | 2050 | β | falling |
| 204 | Liechtenstein | 1.55 | 2019 | down 9.9% | volatile |
| 205 | British Virgin Islands | 1.3 | 2019 | down 57.8% | rising |
| 206 | Maldives | 1.16 | 2050 | β | rising |
| 207 | Bermuda | 0.0126 | 2050 | β | falling |
| 208 | Guam | 0.0052 | 2050 | β | rising |
| 209 | American Samoa | 0.0023 | 2050 | β | falling |
| 210 | Monaco | 0 | 2019 | β | flat |
| 210 | San Marino | 0 | 2019 | β | flat |
| 210 | United States Virgin Islands | 0 | 2019 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Channel Islands 19.93
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).