Emission Totals - Indirect 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 - Indirect emissions (N2O) - Agricultural Soils is currently reported for 196 countries. The highest value is 303.29 in China; the lowest is 0 in Guam.
The median across all reporting countries is 1.85, and the mean is 9.18.
Emission Totals - Indirect emissions (N2O) - Agricultural Soils: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 303.29 | 2050 | β | rising |
| 2 | India | 246.78 | 2050 | β | rising |
| 3 | Brazil | 139.27 | 2050 | β | rising |
| 4 | United States | 119.42 | 2050 | β | rising |
| 5 | Pakistan | 61.26 | 2050 | β | volatile |
| 6 | Indonesia | 38.75 | 2050 | β | volatile |
| 7 | Australia | 38.41 | 2050 | β | flat |
| 8 | Argentina | 37.41 | 2050 | β | rising |
| 9 | Mexico | 32.65 | 2050 | β | rising |
| 10 | Nigeria | 27 | 2050 | β | volatile |
| 11 | Iran | 26.62 | 2050 | β | rising |
| 12 | Russia | 26.58 | 2050 | β | falling |
| 13 | Ethiopia | 25.11 | 2050 | β | rising |
| 14 | Bangladesh | 24.63 | 2050 | β | volatile |
| 15 | France | 22.63 | 2050 | β | rising |
| 16 | Turkey | 22.31 | 2050 | β | rising |
| 17 | Canada | 20.47 | 2050 | β | rising |
| 18 | Sudan | 19.69 | 2019 | up 9.6% | rising |
| 19 | Colombia | 19.02 | 2050 | β | rising |
| 20 | Germany | 16.93 | 2050 | β | falling |
| 21 | Vietnam | 16.73 | 2050 | β | volatile |
| 22 | Egypt | 16.05 | 2050 | β | rising |
| 23 | Kenya | 14.55 | 2050 | β | rising |
| 24 | Tanzania | 14.14 | 2050 | β | rising |
| 25 | Chad | 14.01 | 2050 | β | volatile |
| 26 | South Africa | 13.63 | 2050 | β | rising |
| 27 | United Kingdom | 13.26 | 2050 | β | rising |
| 28 | Thailand | 13.08 | 2050 | β | rising |
| 29 | Philippines | 12.86 | 2050 | β | rising |
| 30 | Spain | 11.76 | 2050 | β | rising |
| 31 | Myanmar | 11.17 | 2050 | β | rising |
| 32 | Mali | 11.03 | 2050 | β | volatile |
| 33 | New Zealand | 10.93 | 2050 | β | falling |
| 34 | Somalia | 10.71 | 2050 | β | rising |
| 35 | Venezuela | 10.29 | 2050 | β | rising |
| 36 | Niger | 9.7 | 2050 | β | rising |
| 37 | Poland | 9.36 | 2050 | β | falling |
| 38 | Burkina Faso | 9.33 | 2050 | β | volatile |
| 39 | Ukraine | 8.98 | 2050 | β | falling |
| 40 | Italy | 8.94 | 2050 | β | falling |
| 41 | Morocco | 8.9 | 2050 | β | rising |
| 42 | Uzbekistan | 8.86 | 2050 | β | rising |
| 43 | Peru | 7.94 | 2050 | β | rising |
| 44 | Uganda | 7.86 | 2050 | β | volatile |
| 45 | South Sudan | 7.41 | 2019 | up 10.2% | rising |
| 46 | Iraq | 7.23 | 2050 | β | rising |
| 47 | Syria | 7.23 | 2050 | β | volatile |
| 48 | Paraguay | 7.18 | 2050 | β | rising |
| 49 | Uruguay | 6.98 | 2050 | β | rising |
| 50 | Afghanistan | 6.63 | 2050 | β | rising |
| 51 | Madagascar | 5.9 | 2050 | β | rising |
| 52 | Algeria | 5.36 | 2050 | β | rising |
| 53 | Chile | 5.33 | 2050 | β | rising |
| 54 | Belarus | 5.24 | 2050 | β | rising |
| 55 | Bolivia | 5.22 | 2050 | β | rising |
| 56 | Kazakhstan | 4.95 | 2050 | β | flat |
| 57 | Ecuador | 4.74 | 2050 | β | rising |
| 58 | Malaysia | 4.62 | 2050 | β | volatile |
| 59 | Romania | 4.59 | 2050 | β | falling |
| 60 | Cameroon | 4.56 | 2050 | β | rising |
| 61 | Senegal | 4.55 | 2050 | β | rising |
| 62 | Mozambique | 4.53 | 2050 | β | volatile |
| 63 | Japan | 4.49 | 2050 | β | falling |
| 64 | Ireland | 4.37 | 2050 | β | rising |
| 65 | Yemen | 4.35 | 2050 | β | rising |
| 66 | Mongolia | 4.25 | 2050 | β | rising |
| 67 | Nepal | 4.14 | 2050 | β | rising |
| 68 | Mauritania | 3.98 | 2050 | β | rising |
| 69 | Angola | 3.82 | 2050 | β | rising |
| 70 | Netherlands | 3.79 | 2050 | β | falling |
| 71 | Guatemala | 3.72 | 2050 | β | rising |
| 72 | Malawi | 3.71 | 2050 | β | volatile |
| 73 | South Korea | 3.55 | 2050 | β | rising |
| 74 | Tunisia | 3.38 | 2050 | β | rising |
| 75 | Serbia | 3.36 | 2050 | β | rising |
| 76 | Central African Republic | 3.26 | 2050 | β | volatile |
| 77 | Guinea | 3.05 | 2050 | β | volatile |
| 78 | Greece | 2.86 | 2050 | β | falling |
| 79 | Cuba | 2.8 | 2050 | β | falling |
| 80 | Dominican Republic | 2.79 | 2050 | β | rising |
| 81 | Nicaragua | 2.76 | 2050 | β | rising |
| 82 | Hungary | 2.75 | 2050 | β | falling |
| 83 | Cambodia | 2.73 | 2050 | β | rising |
| 84 | Ghana | 2.69 | 2050 | β | volatile |
| 85 | Denmark | 2.65 | 2050 | β | falling |
| 86 | Turkmenistan | 2.51 | 2050 | β | rising |
| 87 | Saudi Arabia | 2.44 | 2050 | β | volatile |
| 88 | Azerbaijan | 2.34 | 2050 | β | rising |
| 89 | Sri Lanka | 2.33 | 2050 | β | rising |
| 90 | Democratic Republic of Congo | 2.31 | 2050 | β | rising |
| 91 | Honduras | 2.1 | 2050 | β | rising |
| 92 | Belgium | 2.09 | 2050 | β | rising |
| 93 | Czechia | 2.08 | 2050 | β | flat |
| 94 | Libya | 2.03 | 2050 | β | rising |
| 95 | Benin | 2.03 | 2050 | β | volatile |
| 96 | Cote d'Ivoire | 1.93 | 2050 | β | rising |
| 97 | Laos | 1.88 | 2050 | β | rising |
| 98 | Croatia | 1.85 | 2050 | β | rising |
| 99 | Taiwan | 1.84 | 2050 | β | volatile |
| 100 | El Salvador | 1.78 | 2050 | β | rising |
| 101 | North Korea | 1.75 | 2050 | β | rising |
| 102 | Bulgaria | 1.73 | 2050 | β | falling |
| 103 | Sweden | 1.68 | 2050 | β | falling |
| 104 | Namibia | 1.62 | 2050 | β | rising |
| 105 | Eritrea | 1.57 | 2050 | β | rising |
| 106 | Austria | 1.55 | 2050 | β | falling |
| 107 | Norway | 1.55 | 2050 | β | rising |
| 108 | Portugal | 1.51 | 2050 | β | falling |
| 109 | Finland | 1.5 | 2050 | β | falling |
| 110 | Botswana | 1.42 | 2050 | β | rising |
| 111 | Rwanda | 1.38 | 2050 | β | volatile |
| 112 | Haiti | 1.35 | 2050 | β | rising |
| 113 | Costa Rica | 1.27 | 2050 | β | rising |
| 114 | Togo | 1.27 | 2050 | β | volatile |
| 115 | Kyrgyzstan | 1.24 | 2050 | β | rising |
| 116 | Switzerland | 1.24 | 2050 | β | falling |
| 117 | Lithuania | 1.14 | 2050 | β | rising |
| 118 | Georgia | 1.01 | 2050 | β | rising |
| 119 | Tajikistan | 0.9802 | 2050 | β | rising |
| 120 | Panama | 0.9793 | 2050 | β | rising |
| 121 | Albania | 0.9734 | 2050 | β | rising |
| 122 | Slovakia | 0.8538 | 2050 | β | flat |
| 123 | Armenia | 0.7338 | 2050 | β | rising |
| 124 | Jordan | 0.7273 | 2050 | β | rising |
| 125 | Israel | 0.719 | 2050 | β | rising |
| 126 | Burundi | 0.6676 | 2050 | β | rising |
| 127 | Bosnia and Herzegovina | 0.6521 | 2050 | β | rising |
| 128 | United Arab Emirates | 0.6291 | 2050 | β | volatile |
| 129 | Moldova | 0.6117 | 2050 | β | falling |
| 130 | Sierra Leone | 0.5935 | 2050 | β | volatile |
| 131 | Lesotho | 0.582 | 2050 | β | rising |
| 132 | Latvia | 0.4657 | 2050 | β | rising |
| 133 | North Macedonia | 0.4328 | 2050 | β | falling |
| 134 | Guinea-Bissau | 0.395 | 2050 | β | rising |
| 135 | Kuwait | 0.385 | 2050 | β | volatile |
| 136 | Slovenia | 0.3634 | 2050 | β | falling |
| 137 | Gambia | 0.3524 | 2050 | β | rising |
| 138 | Papua New Guinea | 0.3515 | 2050 | β | rising |
| 139 | Lebanon | 0.3495 | 2050 | β | rising |
| 140 | Eswatini | 0.3309 | 2050 | β | rising |
| 141 | Oman | 0.3108 | 2050 | β | volatile |
| 142 | Fiji | 0.307 | 2050 | β | rising |
| 143 | Estonia | 0.2652 | 2050 | β | falling |
| 144 | Jamaica | 0.2582 | 2050 | β | rising |
| 145 | Puerto Rico | 0.2501 | 2050 | β | falling |
| 146 | Liberia | 0.229 | 2050 | β | rising |
| 147 | Guyana | 0.2193 | 2050 | β | rising |
| 148 | Congo | 0.2108 | 2050 | β | volatile |
| 149 | Iceland | 0.1854 | 2050 | β | falling |
| 150 | Palestine | 0.177 | 2050 | β | rising |
| 151 | Trinidad and Tobago | 0.165 | 2050 | β | rising |
| 152 | Cyprus | 0.1565 | 2050 | β | rising |
| 153 | East Timor | 0.1475 | 2050 | β | rising |
| 154 | Luxembourg | 0.1381 | 2050 | β | rising |
| 155 | Brunei | 0.1318 | 2050 | β | volatile |
| 156 | Suriname | 0.1239 | 2050 | β | rising |
| 157 | Bhutan | 0.1192 | 2050 | β | rising |
| 158 | Vanuatu | 0.0994 | 2050 | β | rising |
| 159 | Montenegro | 0.095 | 2050 | β | rising |
| 160 | Gabon | 0.0931 | 2050 | β | rising |
| 161 | Belize | 0.0813 | 2050 | β | volatile |
| 162 | Cape Verde | 0.0737 | 2050 | β | rising |
| 163 | New Caledonia | 0.0675 | 2050 | β | flat |
| 164 | Singapore | 0.0618 | 2050 | β | falling |
| 165 | Barbados | 0.0558 | 2050 | β | falling |
| 166 | Mauritius | 0.0513 | 2050 | β | rising |
| 167 | Qatar | 0.0493 | 2050 | β | volatile |
| 168 | Comoros | 0.0444 | 2050 | β | rising |
| 169 | Samoa | 0.0396 | 2050 | β | rising |
| 170 | Bahamas | 0.0325 | 2050 | β | rising |
| 171 | Malta | 0.0205 | 2050 | β | rising |
| 172 | Tonga | 0.0197 | 2050 | β | rising |
| 173 | Bahrain | 0.0191 | 2050 | β | volatile |
| 174 | Micronesia (country) | 0.0159 | 2050 | β | rising |
| 175 | Solomon Islands | 0.0154 | 2050 | β | rising |
| 176 | Antigua and Barbuda | 0.0153 | 2050 | β | rising |
| 177 | French Polynesia | 0.0148 | 2050 | β | rising |
| 178 | Saint Lucia | 0.0143 | 2050 | β | volatile |
| 179 | Dominica | 0.0139 | 2050 | β | rising |
| 180 | Sao Tome and Principe | 0.01 | 2050 | β | volatile |
| 181 | Faroe Islands | 0.0085 | 2050 | β | flat |
| 182 | Equatorial Guinea | 0.0083 | 2050 | β | rising |
| 183 | Saint Vincent and the Grenadines | 0.0077 | 2050 | β | rising |
| 184 | Seychelles | 0.0075 | 2050 | β | rising |
| 185 | Macao | 0.0073 | 2050 | β | volatile |
| 186 | Hong Kong | 0.0072 | 2050 | β | falling |
| 187 | Grenada | 0.007 | 2050 | β | rising |
| 188 | Saint Kitts and Nevis | 0.0064 | 2050 | β | falling |
| 189 | Kiribati | 0.0059 | 2050 | β | volatile |
| 190 | Cook Islands | 0.0034 | 2050 | β | rising |
| 191 | Tuvalu | 0.0016 | 2050 | β | rising |
| 192 | Maldives | 0.0011 | 2050 | β | volatile |
| 193 | Niue | 0.0004 | 2050 | β | falling |
| 194 | Nauru | 0.0003 | 2050 | β | rising |
| 195 | Bermuda | 0 | 2050 | β | volatile |
| 195 | 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).