Emission Totals - Emissions (N2O) - Agricultural Soils 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 (N2O) - Agricultural Soils is currently reported for 197 countries. The highest value is 1,269 in China; the lowest is 0 in Guam.
The median across all reporting countries is 7.6, and the mean is 39.9.
Over the past decade 2 countries rose and 1 fell. The largest increase was in Sudan (up 9.8%), and the largest decrease in Isle of Man (down 1.5%).
Emission Totals - Emissions (N2O) - Agricultural Soils: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,269 | 2050 | β | rising |
| 2 | India | 1,041 | 2050 | β | rising |
| 3 | Brazil | 678.54 | 2050 | β | rising |
| 4 | United States | 534.53 | 2050 | β | rising |
| 5 | Pakistan | 253.91 | 2050 | β | volatile |
| 6 | Argentina | 185.47 | 2050 | β | rising |
| 7 | Indonesia | 167.07 | 2050 | β | volatile |
| 8 | Australia | 163.7 | 2050 | β | rising |
| 9 | Mexico | 149.27 | 2050 | β | rising |
| 10 | Ethiopia | 120.35 | 2050 | β | rising |
| 11 | Nigeria | 114.77 | 2050 | β | volatile |
| 12 | Russia | 109.76 | 2050 | β | falling |
| 13 | Iran | 105.41 | 2050 | β | rising |
| 14 | Bangladesh | 103.01 | 2050 | β | rising |
| 15 | Turkey | 101.67 | 2050 | β | rising |
| 16 | France | 94.68 | 2050 | β | rising |
| 17 | Canada | 92 | 2050 | β | rising |
| 18 | Colombia | 91.74 | 2050 | β | rising |
| 19 | Sudan | 88.53 | 2019 | up 9.8% | rising |
| 20 | Vietnam | 74.41 | 2050 | β | volatile |
| 21 | Egypt | 71.13 | 2050 | β | rising |
| 22 | Tanzania | 70.94 | 2050 | β | rising |
| 23 | Germany | 70.31 | 2050 | β | rising |
| 24 | Kenya | 67.66 | 2050 | β | rising |
| 25 | South Africa | 61.81 | 2050 | β | rising |
| 26 | Chad | 60.56 | 2050 | β | volatile |
| 27 | Thailand | 57.08 | 2050 | β | rising |
| 28 | Philippines | 55.98 | 2050 | β | rising |
| 29 | Myanmar | 53.09 | 2050 | β | rising |
| 30 | United Kingdom | 52.77 | 2050 | β | rising |
| 31 | Venezuela | 51.45 | 2050 | β | rising |
| 32 | Mali | 47.05 | 2050 | β | volatile |
| 33 | Spain | 46.29 | 2050 | β | rising |
| 34 | New Zealand | 45.99 | 2050 | β | rising |
| 35 | Somalia | 42.94 | 2050 | β | rising |
| 36 | Niger | 42.42 | 2050 | β | rising |
| 37 | Burkina Faso | 41.6 | 2050 | β | volatile |
| 38 | South Sudan | 41.47 | 2019 | up 8.4% | rising |
| 39 | Paraguay | 38.06 | 2050 | β | rising |
| 40 | Poland | 38.01 | 2050 | β | rising |
| 41 | Ukraine | 37.86 | 2050 | β | falling |
| 42 | Morocco | 37.77 | 2050 | β | rising |
| 43 | Uganda | 37 | 2050 | β | volatile |
| 44 | Uzbekistan | 36.56 | 2050 | β | rising |
| 45 | Italy | 36.4 | 2050 | β | falling |
| 46 | Uruguay | 33.37 | 2050 | β | rising |
| 47 | Peru | 33.16 | 2050 | β | rising |
| 48 | Madagascar | 31.28 | 2050 | β | rising |
| 49 | Iraq | 30.05 | 2050 | β | rising |
| 50 | Syria | 29.01 | 2050 | β | volatile |
| 51 | Afghanistan | 25.69 | 2050 | β | rising |
| 52 | Chile | 23.76 | 2050 | β | rising |
| 53 | Bolivia | 23.74 | 2050 | β | rising |
| 54 | Ecuador | 22.32 | 2050 | β | rising |
| 55 | Algeria | 22.27 | 2050 | β | rising |
| 56 | Cameroon | 21.62 | 2050 | β | rising |
| 57 | Belarus | 21.39 | 2050 | β | falling |
| 58 | Kazakhstan | 20.87 | 2050 | β | flat |
| 59 | Senegal | 20.23 | 2050 | β | rising |
| 60 | Japan | 19.52 | 2050 | β | falling |
| 61 | Malaysia | 19.42 | 2050 | β | volatile |
| 62 | Angola | 18.51 | 2050 | β | rising |
| 63 | Nepal | 18.47 | 2050 | β | rising |
| 64 | Mozambique | 18.4 | 2050 | β | volatile |
| 65 | Romania | 18.3 | 2050 | β | falling |
| 66 | Yemen | 17.73 | 2050 | β | rising |
| 67 | Ireland | 17.64 | 2050 | β | rising |
| 68 | Guatemala | 16.65 | 2050 | β | rising |
| 69 | Central African Republic | 16.21 | 2050 | β | volatile |
| 70 | Malawi | 15.96 | 2050 | β | volatile |
| 71 | Mongolia | 15.73 | 2050 | β | volatile |
| 72 | Guinea | 15.68 | 2050 | β | volatile |
| 73 | South Korea | 15.45 | 2050 | β | rising |
| 74 | Netherlands | 14.87 | 2050 | β | rising |
| 75 | Mauritania | 14.85 | 2050 | β | rising |
| 76 | Tunisia | 14.32 | 2050 | β | rising |
| 77 | Serbia | 13.81 | 2050 | β | rising |
| 78 | Nicaragua | 13.63 | 2050 | β | rising |
| 79 | Cambodia | 13.21 | 2050 | β | rising |
| 80 | Cuba | 13.03 | 2050 | β | falling |
| 81 | Dominican Republic | 12.86 | 2050 | β | rising |
| 82 | Hungary | 11.58 | 2050 | β | falling |
| 83 | Ghana | 11.57 | 2050 | β | volatile |
| 84 | Azerbaijan | 10.94 | 2050 | β | rising |
| 85 | Greece | 10.83 | 2050 | β | falling |
| 86 | Denmark | 10.81 | 2050 | β | falling |
| 87 | Saudi Arabia | 10.41 | 2050 | β | volatile |
| 88 | Benin | 10.1 | 2050 | β | volatile |
| 89 | Sri Lanka | 9.96 | 2050 | β | rising |
| 90 | Democratic Republic of Congo | 9.9 | 2050 | β | rising |
| 91 | Honduras | 9.51 | 2050 | β | rising |
| 92 | Turkmenistan | 9.47 | 2050 | β | rising |
| 93 | Laos | 8.93 | 2050 | β | rising |
| 94 | Cote d'Ivoire | 8.9 | 2050 | β | volatile |
| 95 | Czechia | 8.69 | 2050 | β | flat |
| 96 | Belgium | 8.47 | 2050 | β | rising |
| 97 | El Salvador | 8.15 | 2050 | β | rising |
| 98 | Libya | 7.73 | 2050 | β | rising |
| 99 | Taiwan | 7.6 | 2050 | β | volatile |
| 100 | Croatia | 7.56 | 2050 | β | rising |
| 101 | North Korea | 7.32 | 2050 | β | rising |
| 102 | Eritrea | 7.28 | 2050 | β | rising |
| 103 | Botswana | 7.17 | 2050 | β | rising |
| 104 | Bulgaria | 7.08 | 2050 | β | falling |
| 105 | Sweden | 7.04 | 2050 | β | rising |
| 106 | Namibia | 6.69 | 2050 | β | rising |
| 107 | Austria | 6.45 | 2050 | β | falling |
| 108 | Finland | 6.26 | 2050 | β | rising |
| 109 | Norway | 6.13 | 2050 | β | rising |
| 110 | Rwanda | 6 | 2050 | β | volatile |
| 111 | Haiti | 5.98 | 2050 | β | rising |
| 112 | Portugal | 5.86 | 2050 | β | falling |
| 113 | Costa Rica | 5.59 | 2050 | β | rising |
| 114 | Switzerland | 5 | 2050 | β | rising |
| 115 | Togo | 4.97 | 2050 | β | volatile |
| 116 | Georgia | 4.97 | 2050 | β | rising |
| 117 | Kyrgyzstan | 4.97 | 2050 | β | rising |
| 118 | Panama | 4.85 | 2050 | β | rising |
| 119 | Lithuania | 4.73 | 2050 | β | falling |
| 120 | Tajikistan | 3.97 | 2050 | β | rising |
| 121 | Albania | 3.69 | 2050 | β | rising |
| 122 | Slovakia | 3.56 | 2050 | β | flat |
| 123 | Armenia | 3.46 | 2050 | β | rising |
| 124 | Israel | 3.31 | 2050 | β | rising |
| 125 | Jordan | 2.99 | 2050 | β | rising |
| 126 | Burundi | 2.89 | 2050 | β | rising |
| 127 | Lesotho | 2.64 | 2050 | β | rising |
| 128 | Sierra Leone | 2.64 | 2050 | β | rising |
| 129 | Bosnia and Herzegovina | 2.57 | 2050 | β | rising |
| 130 | United Arab Emirates | 2.48 | 2050 | β | volatile |
| 131 | Moldova | 2.44 | 2050 | β | falling |
| 132 | Latvia | 1.96 | 2050 | β | falling |
| 133 | Guinea-Bissau | 1.9 | 2050 | β | rising |
| 134 | Kuwait | 1.86 | 2050 | β | volatile |
| 135 | Eswatini | 1.75 | 2050 | β | rising |
| 136 | North Macedonia | 1.68 | 2050 | β | falling |
| 137 | Gambia | 1.68 | 2050 | β | rising |
| 138 | Lebanon | 1.6 | 2050 | β | rising |
| 139 | Slovenia | 1.48 | 2050 | β | falling |
| 140 | Fiji | 1.44 | 2050 | β | rising |
| 141 | Papua New Guinea | 1.36 | 2050 | β | volatile |
| 142 | Oman | 1.35 | 2050 | β | volatile |
| 143 | Puerto Rico | 1.23 | 2050 | β | falling |
| 144 | Jamaica | 1.13 | 2050 | β | rising |
| 145 | Estonia | 1.11 | 2050 | β | falling |
| 146 | Liberia | 1.01 | 2050 | β | rising |
| 147 | Guyana | 1 | 2050 | β | volatile |
| 148 | Congo | 1 | 2050 | β | volatile |
| 149 | Iceland | 0.7044 | 2050 | β | rising |
| 150 | Trinidad and Tobago | 0.7021 | 2050 | β | rising |
| 151 | Palestine | 0.6955 | 2050 | β | rising |
| 152 | East Timor | 0.6476 | 2050 | β | rising |
| 153 | Cyprus | 0.6125 | 2050 | β | rising |
| 154 | Brunei | 0.5816 | 2050 | β | volatile |
| 155 | Luxembourg | 0.5715 | 2050 | β | rising |
| 156 | Bhutan | 0.5687 | 2050 | β | rising |
| 157 | Suriname | 0.5573 | 2050 | β | rising |
| 158 | Vanuatu | 0.5199 | 2050 | β | rising |
| 159 | Gabon | 0.3904 | 2050 | β | volatile |
| 160 | Belize | 0.3753 | 2050 | β | volatile |
| 161 | Montenegro | 0.3642 | 2050 | β | rising |
| 162 | New Caledonia | 0.3416 | 2050 | β | falling |
| 163 | Cape Verde | 0.2791 | 2050 | β | rising |
| 164 | Mauritius | 0.2654 | 2050 | β | rising |
| 165 | Singapore | 0.2567 | 2050 | β | falling |
| 166 | Barbados | 0.2377 | 2050 | β | flat |
| 167 | Comoros | 0.2117 | 2050 | β | rising |
| 168 | Qatar | 0.2095 | 2050 | β | volatile |
| 169 | Samoa | 0.1693 | 2050 | β | rising |
| 170 | Bahamas | 0.1381 | 2050 | β | rising |
| 171 | Bahrain | 0.0859 | 2050 | β | volatile |
| 172 | Tonga | 0.0799 | 2050 | β | rising |
| 173 | Micronesia (country) | 0.0783 | 2050 | β | rising |
| 174 | Malta | 0.0781 | 2050 | β | rising |
| 175 | Solomon Islands | 0.0694 | 2050 | β | rising |
| 176 | Antigua and Barbuda | 0.0636 | 2050 | β | rising |
| 177 | Saint Lucia | 0.0614 | 2050 | β | volatile |
| 178 | French Polynesia | 0.0603 | 2050 | β | rising |
| 179 | Dominica | 0.0602 | 2050 | β | rising |
| 180 | Sao Tome and Principe | 0.046 | 2050 | β | rising |
| 181 | Equatorial Guinea | 0.0358 | 2050 | β | rising |
| 182 | Seychelles | 0.0348 | 2050 | β | rising |
| 183 | Macao | 0.0323 | 2050 | β | volatile |
| 184 | Saint Vincent and the Grenadines | 0.0315 | 2050 | β | rising |
| 185 | Grenada | 0.0296 | 2050 | β | flat |
| 186 | Hong Kong | 0.0291 | 2050 | β | falling |
| 187 | Faroe Islands | 0.029 | 2050 | β | volatile |
| 188 | Saint Kitts and Nevis | 0.027 | 2050 | β | falling |
| 189 | Kiribati | 0.0202 | 2050 | β | volatile |
| 190 | Isle of Man | 0.0128 | 2019 | down 1.5% | flat |
| 191 | Cook Islands | 0.0116 | 2050 | β | rising |
| 192 | Tuvalu | 0.0055 | 2050 | β | rising |
| 193 | Maldives | 0.0044 | 2050 | β | volatile |
| 194 | Niue | 0.0015 | 2050 | β | falling |
| 195 | Nauru | 0.0009 | 2050 | β | rising |
| 196 | Bermuda | 0 | 2050 | β | volatile |
| 196 | Guam | 0 | 2050 | β | flat |
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).