Emission Totals - Emissions (N2O) - Synthetic Fertilizers 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) - Synthetic Fertilizers is currently reported for 166 countries. The highest value is 650.61 in China; the lowest is 0 in Tonga.
The median across all reporting countries is 1.62, and the mean is 17.
Over the past decade 4 countries rose and 2 fell. The largest increase was in Sudan (up 487.1%), and the largest decrease in Bermuda (down 54.5%).
Emission Totals - Emissions (N2O) - Synthetic Fertilizers: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 650.61 | 2050 | β | volatile |
| 2 | India | 576.47 | 2050 | β | volatile |
| 3 | United States | 223.54 | 2050 | β | rising |
| 4 | Brazil | 177.81 | 2050 | β | volatile |
| 5 | Pakistan | 131.54 | 2050 | β | volatile |
| 6 | Indonesia | 77.73 | 2050 | β | volatile |
| 7 | Canada | 47.22 | 2050 | β | volatile |
| 8 | France | 46.53 | 2050 | β | rising |
| 9 | Bangladesh | 42.66 | 2050 | β | volatile |
| 10 | Mexico | 41.25 | 2050 | β | rising |
| 11 | Iran | 39.95 | 2050 | β | volatile |
| 12 | Egypt | 38.07 | 2050 | β | rising |
| 13 | Argentina | 37.11 | 2050 | β | volatile |
| 14 | Turkey | 35.94 | 2050 | β | volatile |
| 15 | Germany | 35.47 | 2050 | β | rising |
| 16 | Russia | 33.4 | 2050 | β | rising |
| 17 | Thailand | 32.9 | 2050 | β | volatile |
| 18 | Vietnam | 28.24 | 2050 | β | volatile |
| 19 | Australia | 27.02 | 2050 | β | volatile |
| 20 | Philippines | 25.59 | 2050 | β | volatile |
| 21 | Poland | 21.83 | 2050 | β | rising |
| 22 | United Kingdom | 20.99 | 2050 | β | rising |
| 23 | Uzbekistan | 20.28 | 2050 | β | rising |
| 24 | Spain | 19.67 | 2050 | β | rising |
| 25 | Colombia | 18.44 | 2050 | β | volatile |
| 26 | Italy | 16.48 | 2050 | β | rising |
| 27 | South Africa | 14.93 | 2050 | β | rising |
| 28 | Ukraine | 14.31 | 2050 | β | rising |
| 29 | Iraq | 14 | 2050 | β | volatile |
| 30 | Belarus | 13.42 | 2050 | β | rising |
| 31 | Morocco | 13.12 | 2050 | β | volatile |
| 32 | Malaysia | 12.95 | 2050 | β | volatile |
| 33 | Nigeria | 12.67 | 2050 | β | volatile |
| 34 | Ethiopia | 9.74 | 2050 | β | volatile |
| 35 | Syria | 9.55 | 2050 | β | volatile |
| 36 | Malawi | 8.64 | 2050 | β | volatile |
| 37 | Serbia | 8.45 | 2050 | β | rising |
| 38 | Peru | 8.27 | 2050 | β | volatile |
| 39 | Chile | 8 | 2050 | β | volatile |
| 40 | Japan | 8 | 2050 | β | falling |
| 41 | Venezuela | 7.49 | 2050 | β | volatile |
| 42 | Sri Lanka | 6.81 | 2050 | β | volatile |
| 43 | Ireland | 6.67 | 2050 | β | rising |
| 44 | Hungary | 5.94 | 2050 | β | falling |
| 45 | South Korea | 5.91 | 2050 | β | falling |
| 46 | Uruguay | 5.88 | 2050 | β | volatile |
| 47 | Kenya | 5.75 | 2050 | β | volatile |
| 48 | Romania | 5.58 | 2050 | β | volatile |
| 49 | Netherlands | 5.52 | 2050 | β | falling |
| 50 | Croatia | 5.32 | 2050 | β | rising |
| 51 | Tanzania | 5.29 | 2050 | β | volatile |
| 52 | Guatemala | 5.17 | 2050 | β | volatile |
| 53 | Tunisia | 5.03 | 2050 | β | volatile |
| 54 | Czechia | 4.62 | 2050 | β | rising |
| 55 | Ecuador | 4.55 | 2050 | β | volatile |
| 56 | Taiwan | 4.4 | 2050 | β | rising |
| 57 | Mali | 4.36 | 2050 | β | volatile |
| 58 | Paraguay | 4.07 | 2050 | β | volatile |
| 59 | Denmark | 3.84 | 2050 | β | falling |
| 60 | Bulgaria | 3.67 | 2050 | β | falling |
| 61 | Finland | 3.65 | 2050 | β | rising |
| 62 | Honduras | 3.63 | 2050 | β | volatile |
| 63 | Sudan | 3.51 | 2019 | up 487.1% | volatile |
| 64 | Greece | 3.5 | 2050 | β | falling |
| 65 | Sweden | 3.34 | 2050 | β | falling |
| 66 | El Salvador | 3.24 | 2050 | β | rising |
| 67 | Myanmar | 3.14 | 2050 | β | volatile |
| 68 | Norway | 3.07 | 2050 | β | rising |
| 69 | Belgium | 2.99 | 2050 | β | flat |
| 70 | Saudi Arabia | 2.76 | 2050 | β | volatile |
| 71 | Lithuania | 2.51 | 2050 | β | rising |
| 72 | Burkina Faso | 2.47 | 2050 | β | volatile |
| 73 | Costa Rica | 2.25 | 2050 | β | rising |
| 74 | Dominican Republic | 2.08 | 2050 | β | rising |
| 75 | Portugal | 2.07 | 2050 | β | flat |
| 76 | New Zealand | 2.05 | 2050 | β | volatile |
| 77 | Nicaragua | 2.04 | 2050 | β | volatile |
| 78 | Austria | 1.92 | 2050 | β | falling |
| 79 | Cameroon | 1.87 | 2050 | β | volatile |
| 80 | Slovakia | 1.74 | 2050 | β | rising |
| 81 | Mozambique | 1.7 | 2050 | β | volatile |
| 82 | Cuba | 1.69 | 2050 | β | volatile |
| 83 | Afghanistan | 1.65 | 2050 | β | volatile |
| 84 | Algeria | 1.59 | 2050 | β | rising |
| 85 | Libya | 1.59 | 2050 | β | volatile |
| 86 | Switzerland | 1.51 | 2050 | β | rising |
| 87 | Yemen | 1.34 | 2050 | β | volatile |
| 88 | Ghana | 1.33 | 2050 | β | volatile |
| 89 | Cambodia | 1.3 | 2050 | β | volatile |
| 90 | Cote d'Ivoire | 1.27 | 2050 | β | volatile |
| 91 | Armenia | 1.2 | 2050 | β | volatile |
| 92 | Israel | 1.12 | 2050 | β | rising |
| 93 | Senegal | 1.1 | 2050 | β | volatile |
| 94 | Kazakhstan | 1.08 | 2050 | β | volatile |
| 95 | Kyrgyzstan | 1.04 | 2050 | β | rising |
| 96 | Jordan | 1.02 | 2050 | β | volatile |
| 97 | Albania | 0.997 | 2050 | β | volatile |
| 98 | Niger | 0.9565 | 2050 | β | volatile |
| 99 | Latvia | 0.8973 | 2050 | β | rising |
| 100 | Angola | 0.8832 | 2050 | β | volatile |
| 101 | Georgia | 0.8084 | 2050 | β | rising |
| 102 | Panama | 0.7673 | 2050 | β | rising |
| 103 | Madagascar | 0.767 | 2050 | β | volatile |
| 104 | Bolivia | 0.7654 | 2050 | β | volatile |
| 105 | Azerbaijan | 0.6914 | 2050 | β | volatile |
| 106 | Bosnia and Herzegovina | 0.6196 | 2050 | β | volatile |
| 107 | Slovenia | 0.6014 | 2050 | β | falling |
| 108 | North Macedonia | 0.5443 | 2050 | β | falling |
| 109 | Uganda | 0.4743 | 2050 | β | volatile |
| 110 | Estonia | 0.4623 | 2050 | β | rising |
| 111 | Moldova | 0.4506 | 2050 | β | volatile |
| 112 | Botswana | 0.4405 | 2019 | up 55.2% | volatile |
| 113 | United Arab Emirates | 0.4257 | 2050 | β | volatile |
| 114 | Lebanon | 0.4111 | 2050 | β | rising |
| 115 | Papua New Guinea | 0.3949 | 2050 | β | volatile |
| 116 | Guinea | 0.3709 | 2050 | β | volatile |
| 117 | Iceland | 0.3499 | 2050 | β | flat |
| 118 | Tajikistan | 0.3257 | 2050 | β | volatile |
| 119 | Nepal | 0.3109 | 2050 | β | volatile |
| 120 | Rwanda | 0.3037 | 2050 | β | volatile |
| 121 | Guyana | 0.2893 | 2050 | β | rising |
| 122 | Luxembourg | 0.284 | 2050 | β | flat |
| 123 | Democratic Republic of Congo | 0.2403 | 2050 | β | volatile |
| 124 | Mongolia | 0.2041 | 2050 | β | volatile |
| 125 | Singapore | 0.192 | 2050 | β | volatile |
| 126 | Suriname | 0.1759 | 2050 | β | volatile |
| 127 | Mauritius | 0.1724 | 2019 | up 19.1% | falling |
| 128 | Burundi | 0.1649 | 2050 | β | volatile |
| 129 | Fiji | 0.1569 | 2050 | β | falling |
| 130 | Gambia | 0.1519 | 2050 | β | volatile |
| 131 | Trinidad and Tobago | 0.1471 | 2050 | β | rising |
| 132 | Cyprus | 0.138 | 2050 | β | falling |
| 133 | Jamaica | 0.131 | 2050 | β | falling |
| 134 | Belize | 0.1206 | 2050 | β | volatile |
| 135 | Namibia | 0.1175 | 2050 | β | volatile |
| 136 | Oman | 0.1061 | 2050 | β | volatile |
| 137 | Bhutan | 0.0562 | 2050 | β | volatile |
| 138 | Montenegro | 0.0472 | 2050 | β | rising |
| 139 | Eritrea | 0.0438 | 2050 | β | volatile |
| 140 | Gabon | 0.0315 | 2050 | β | volatile |
| 141 | Bahrain | 0.0296 | 2050 | β | volatile |
| 141 | Barbados | 0.0296 | 2050 | β | volatile |
| 143 | Benin | 0.0278 | 2050 | β | volatile |
| 144 | Central African Republic | 0.0249 | 2050 | β | volatile |
| 145 | New Caledonia | 0.0233 | 2050 | β | volatile |
| 146 | Hong Kong | 0.02 | 2050 | β | volatile |
| 147 | Togo | 0.0164 | 2050 | β | volatile |
| 148 | Malta | 0.0142 | 2050 | β | volatile |
| 149 | Bahamas | 0.0138 | 2019 | down 4.8% | volatile |
| 150 | Kuwait | 0.0133 | 2050 | β | volatile |
| 150 | Qatar | 0.0133 | 2050 | β | volatile |
| 152 | French Polynesia | 0.01 | 2050 | β | rising |
| 153 | Dominica | 0.0098 | 2050 | β | volatile |
| 154 | Brunei | 0.0054 | 2050 | β | volatile |
| 155 | Congo | 0.0047 | 2050 | β | volatile |
| 156 | Maldives | 0.0043 | 2050 | β | volatile |
| 157 | Saint Lucia | 0.0038 | 2019 | up 100.0% | volatile |
| 158 | Seychelles | 0.0019 | 2050 | β | volatile |
| 159 | Macao | 0.0009 | 2050 | β | volatile |
| 160 | Saint Kitts and Nevis | 0.0008 | 2050 | β | volatile |
| 161 | Bermuda | 0.0005 | 2019 | down 54.5% | falling |
| 161 | Cook Islands | 0.0005 | 2050 | β | rising |
| 163 | Samoa | 0.0004 | 2050 | β | volatile |
| 164 | Antigua and Barbuda | 0.0002 | 2050 | β | volatile |
| 165 | Nauru | 0 | 2019 | β | flat |
| 165 | Tonga | 0 | 2050 | β | volatile |
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).