Emission Totals - Emissions (N2O) - On-farm energy use 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) - On-farm energy use is currently reported for 193 countries. The highest value is 19.39 in China; the lowest is 0 in British Virgin Islands.
The median across all reporting countries is 0.0717, and the mean is 0.6061.
Over the past decade 107 countries rose and 74 fell. The largest increase was in Grenada (up 7,400.0%), and the largest decrease in Palau (down 100.0%).
Emission Totals - Emissions (N2O) - On-farm energy use: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 19.39 | 2019 | up 28.2% | rising |
| 2 | United States | 9.92 | 2019 | down 25.8% | falling |
| 3 | Brazil | 8.58 | 2019 | up 22.4% | rising |
| 4 | Canada | 4.82 | 2019 | up 85.5% | rising |
| 5 | Japan | 4.77 | 2019 | down 18.0% | falling |
| 6 | Argentina | 4.4 | 2019 | down 4.7% | rising |
| 7 | Mexico | 4.07 | 2019 | up 25.5% | rising |
| 8 | Russia | 3.64 | 2019 | down 10.6% | falling |
| 9 | France | 3.48 | 2019 | down 10.1% | flat |
| 10 | Turkey | 3.39 | 2019 | down 37.4% | rising |
| 11 | Thailand | 3.25 | 2019 | down 19.6% | rising |
| 12 | Iran | 3.12 | 2019 | down 35.2% | falling |
| 13 | Poland | 2.9 | 2019 | up 30.9% | flat |
| 14 | Italy | 2.8 | 2019 | down 0.3% | falling |
| 15 | Australia | 2.8 | 2019 | up 27.9% | rising |
| 16 | Spain | 2.52 | 2019 | up 25.5% | rising |
| 17 | Germany | 2.41 | 2019 | up 5.3% | flat |
| 18 | Myanmar | 1.72 | 2019 | up 2,581.3% | volatile |
| 19 | Bangladesh | 1.37 | 2019 | up 45.0% | rising |
| 20 | Ukraine | 1.36 | 2019 | down 6.1% | falling |
| 21 | South Africa | 1.13 | 2019 | up 10.8% | rising |
| 22 | Malaysia | 1.09 | 2019 | up 396.0% | volatile |
| 23 | Saudi Arabia | 1.06 | 2019 | down 70.3% | rising |
| 24 | South Korea | 1.04 | 2019 | down 46.5% | falling |
| 25 | Egypt | 1.01 | 2019 | down 59.0% | volatile |
| 26 | Morocco | 1 | 2019 | up 60.5% | volatile |
| 27 | Belarus | 0.881 | 2019 | up 21.3% | falling |
| 28 | Iraq | 0.8783 | 2019 | up 5.0% | falling |
| 29 | Kazakhstan | 0.7238 | 2019 | up 26.8% | falling |
| 30 | Netherlands | 0.6059 | 2019 | down 0.5% | falling |
| 31 | United Kingdom | 0.5849 | 2019 | up 212.3% | falling |
| 32 | Denmark | 0.4932 | 2019 | down 18.8% | falling |
| 33 | Hungary | 0.4698 | 2019 | up 73.0% | falling |
| 34 | Tunisia | 0.4473 | 2019 | up 14.0% | rising |
| 35 | Romania | 0.4451 | 2019 | up 90.9% | volatile |
| 36 | Portugal | 0.4265 | 2019 | up 10.7% | falling |
| 37 | Sweden | 0.4193 | 2019 | down 20.4% | rising |
| 38 | Indonesia | 0.4062 | 2019 | up 142.7% | volatile |
| 39 | New Zealand | 0.4005 | 2019 | down 10.6% | rising |
| 40 | Czechia | 0.3983 | 2019 | down 0.8% | falling |
| 41 | Finland | 0.3902 | 2019 | down 13.5% | falling |
| 42 | Namibia | 0.3863 | 2019 | up 47.0% | volatile |
| 43 | Azerbaijan | 0.3752 | 2019 | up 3.0% | volatile |
| 44 | Paraguay | 0.3751 | 2019 | up 53.1% | rising |
| 45 | Nepal | 0.3605 | 2019 | up 194.5% | volatile |
| 46 | Belgium | 0.3564 | 2019 | down 20.8% | falling |
| 47 | Israel | 0.3519 | 2019 | down 2.2% | rising |
| 48 | Chile | 0.3458 | 2019 | up 350.3% | volatile |
| 49 | Oman | 0.3115 | 2019 | up 13.6% | volatile |
| 50 | Vietnam | 0.31 | 2019 | down 34.1% | rising |
| 51 | United Arab Emirates | 0.3056 | 2019 | down 67.6% | rising |
| 52 | Kuwait | 0.3043 | 2019 | down 30.1% | volatile |
| 53 | Turkmenistan | 0.2865 | 2019 | down 57.3% | rising |
| 54 | Austria | 0.2835 | 2019 | down 2.2% | falling |
| 55 | Syria | 0.2755 | 2019 | down 58.9% | volatile |
| 56 | Philippines | 0.2618 | 2019 | up 1.5% | falling |
| 57 | Hong Kong | 0.2608 | 2019 | up 24.7% | volatile |
| 58 | Qatar | 0.2515 | 2019 | down 45.4% | volatile |
| 59 | Ireland | 0.243 | 2019 | down 20.4% | falling |
| 60 | Ethiopia | 0.2408 | 2019 | up 170.6% | volatile |
| 61 | Croatia | 0.2304 | 2019 | down 10.0% | rising |
| 62 | Sudan | 0.2226 | 2019 | down 9.9% | falling |
| 63 | Norway | 0.209 | 2019 | down 70.0% | falling |
| 64 | Guyana | 0.2083 | 2019 | up 18.8% | rising |
| 65 | Iceland | 0.1786 | 2019 | down 5.3% | falling |
| 66 | Uruguay | 0.1765 | 2019 | down 9.4% | falling |
| 67 | Singapore | 0.1672 | 2019 | down 13.2% | rising |
| 68 | Cuba | 0.1659 | 2019 | down 19.7% | falling |
| 69 | Bolivia | 0.1622 | 2019 | up 60.4% | volatile |
| 70 | Latvia | 0.1596 | 2019 | up 33.4% | rising |
| 71 | Bulgaria | 0.1529 | 2019 | up 1.3% | falling |
| 72 | Colombia | 0.1453 | 2019 | down 82.7% | volatile |
| 73 | Serbia | 0.1373 | 2019 | up 61.3% | rising |
| 74 | Jordan | 0.1356 | 2019 | up 30.3% | rising |
| 75 | Moldova | 0.1314 | 2019 | up 69.1% | volatile |
| 76 | Papua New Guinea | 0.1244 | 2019 | down 5.9% | rising |
| 77 | Uganda | 0.1211 | 2019 | up 63.0% | volatile |
| 78 | Switzerland | 0.1202 | 2019 | down 14.0% | rising |
| 79 | Estonia | 0.1151 | 2019 | up 55.3% | rising |
| 80 | Libya | 0.1127 | 2019 | down 57.4% | rising |
| 81 | Honduras | 0.1068 | 2019 | up 662.9% | volatile |
| 82 | Senegal | 0.1066 | 2019 | up 187.3% | volatile |
| 83 | Albania | 0.1058 | 2019 | up 38.1% | volatile |
| 84 | Nigeria | 0.1016 | 2019 | up 124.3% | rising |
| 85 | Cote d'Ivoire | 0.1006 | 2019 | up 34.3% | rising |
| 86 | Guatemala | 0.0977 | 2019 | up 46.0% | rising |
| 87 | Venezuela | 0.0941 | 2019 | down 52.6% | volatile |
| 88 | Faroe Islands | 0.0931 | 2019 | up 58.3% | falling |
| 89 | Dominican Republic | 0.092 | 2019 | up 31.6% | rising |
| 90 | Suriname | 0.0907 | 2019 | down 15.8% | rising |
| 91 | Peru | 0.0873 | 2019 | up 24.0% | volatile |
| 92 | India | 0.0858 | 2019 | down 92.1% | volatile |
| 93 | El Salvador | 0.0802 | 2019 | up 20.1% | rising |
| 94 | Slovenia | 0.079 | 2019 | up 4.5% | rising |
| 95 | Mongolia | 0.0771 | 2019 | up 72.1% | rising |
| 96 | Lebanon | 0.075 | 2019 | down 54.1% | volatile |
| 97 | Mauritania | 0.0717 | 2019 | up 22.8% | falling |
| 98 | Slovakia | 0.0704 | 2019 | down 9.9% | falling |
| 99 | Laos | 0.0703 | 2019 | down 39.7% | volatile |
| 100 | Cambodia | 0.0657 | 2019 | up 122.7% | volatile |
| 101 | Lithuania | 0.0542 | 2019 | up 18.3% | volatile |
| 102 | Ghana | 0.0517 | 2019 | down 12.5% | volatile |
| 103 | Burkina Faso | 0.0506 | 2019 | up 237.3% | volatile |
| 104 | Madagascar | 0.048 | 2019 | up 93.5% | rising |
| 105 | Costa Rica | 0.0471 | 2019 | up 23.6% | volatile |
| 106 | Bahrain | 0.0467 | 2019 | down 41.1% | rising |
| 107 | Bosnia and Herzegovina | 0.0446 | 2019 | up 301.8% | volatile |
| 108 | Greenland | 0.0377 | 2019 | down 8.0% | volatile |
| 109 | Afghanistan | 0.0362 | 2019 | down 50.7% | volatile |
| 110 | Tanzania | 0.034 | 2019 | up 78.9% | volatile |
| 111 | Benin | 0.0303 | 2019 | up 222.3% | volatile |
| 112 | Cyprus | 0.0291 | 2019 | down 4.3% | flat |
| 113 | Tajikistan | 0.0287 | 2019 | down 61.3% | falling |
| 114 | North Korea | 0.0285 | 2019 | down 35.5% | volatile |
| 115 | Malawi | 0.0281 | 2019 | up 59.7% | rising |
| 116 | Kenya | 0.0275 | 2019 | down 74.3% | falling |
| 117 | Ecuador | 0.0274 | 2019 | up 26.9% | volatile |
| 118 | Jamaica | 0.0273 | 2019 | down 22.4% | volatile |
| 119 | Haiti | 0.0241 | 2019 | up 32.4% | rising |
| 120 | Algeria | 0.0239 | 2019 | down 34.2% | rising |
| 121 | Trinidad and Tobago | 0.0233 | 2019 | down 24.4% | rising |
| 122 | Belize | 0.0218 | 2019 | up 19.1% | rising |
| 123 | South Sudan | 0.0207 | 2019 | up 11.3% | rising |
| 124 | Armenia | 0.0204 | 2019 | down 37.0% | rising |
| 125 | Luxembourg | 0.0192 | 2019 | down 26.7% | rising |
| 126 | Pakistan | 0.0189 | 2019 | down 78.3% | volatile |
| 127 | Lesotho | 0.017 | 2019 | up 78.9% | rising |
| 128 | Greece | 0.0166 | 2019 | down 97.7% | volatile |
| 128 | Togo | 0.0166 | 2019 | down 49.4% | rising |
| 130 | Fiji | 0.0161 | 2019 | up 35.3% | falling |
| 131 | Botswana | 0.0159 | 2019 | up 82.8% | falling |
| 132 | Georgia | 0.0146 | 2019 | up 2.1% | volatile |
| 133 | Nicaragua | 0.0139 | 2019 | up 40.4% | rising |
| 134 | Panama | 0.0131 | 2019 | up 4.0% | falling |
| 135 | Cameroon | 0.0124 | 2019 | up 11.7% | rising |
| 135 | Democratic Republic of Congo | 0.0124 | 2019 | up 10.7% | rising |
| 137 | Niger | 0.0118 | 2019 | up 14.6% | rising |
| 138 | Macao | 0.0096 | 2019 | up 18.5% | falling |
| 139 | North Macedonia | 0.0092 | 2019 | up 820.0% | volatile |
| 140 | Angola | 0.0091 | 2019 | down 8.1% | volatile |
| 141 | Eswatini | 0.0086 | 2019 | up 30.3% | falling |
| 142 | New Caledonia | 0.0084 | 2019 | up 61.5% | rising |
| 143 | Gibraltar | 0.0083 | 2019 | up 53.7% | rising |
| 144 | Grenada | 0.0075 | 2019 | up 7,400.0% | volatile |
| 145 | Eritrea | 0.0071 | 2019 | up 121.9% | falling |
| 146 | Guinea | 0.0067 | 2019 | up 91.4% | rising |
| 147 | Solomon Islands | 0.0064 | 2019 | up 18.5% | rising |
| 148 | Seychelles | 0.0062 | 2019 | up 31.9% | rising |
| 149 | Malta | 0.0058 | 2019 | up 16.0% | rising |
| 150 | Bhutan | 0.0056 | 2019 | up 166.7% | volatile |
| 151 | Cape Verde | 0.0054 | 2019 | up 8.0% | rising |
| 152 | Congo | 0.0052 | 2019 | down 20.0% | volatile |
| 153 | Gabon | 0.0046 | 2019 | down 54.5% | volatile |
| 153 | Palestine | 0.0046 | 2019 | up 21.1% | volatile |
| 155 | Mali | 0.0037 | 2019 | up 362.5% | volatile |
| 156 | Montenegro | 0.0036 | 2019 | up 157.1% | volatile |
| 156 | Mauritius | 0.0036 | 2019 | up 9.1% | rising |
| 158 | Dominica | 0.0025 | 2019 | up 92.3% | volatile |
| 159 | Brunei | 0.0024 | 2019 | up 33.3% | rising |
| 160 | Uzbekistan | 0.0021 | 2019 | down 99.7% | volatile |
| 161 | Maldives | 0.0017 | 2019 | up 54.5% | rising |
| 162 | Barbados | 0.0015 | 2019 | unchanged | falling |
| 163 | Liberia | 0.0011 | 2019 | up 175.0% | volatile |
| 163 | Mozambique | 0.0011 | 2019 | down 87.9% | volatile |
| 165 | Rwanda | 0.001 | 2019 | up 100.0% | rising |
| 166 | Bahamas | 0.0009 | 2019 | up 50.0% | volatile |
| 166 | Kiribati | 0.0009 | 2019 | up 28.6% | rising |
| 166 | Samoa | 0.0009 | 2019 | down 35.7% | rising |
| 169 | Burundi | 0.0008 | 2019 | up 300.0% | volatile |
| 170 | Bermuda | 0.0007 | 2019 | up 16.7% | rising |
| 171 | Guinea-Bissau | 0.0006 | 2019 | up 50.0% | rising |
| 172 | Micronesia (country) | 0.0005 | 2019 | unchanged | rising |
| 173 | Kyrgyzstan | 0.0004 | 2019 | down 99.5% | volatile |
| 173 | Sri Lanka | 0.0004 | 2019 | down 90.2% | volatile |
| 173 | Marshall Islands | 0.0004 | 2019 | up 33.3% | rising |
| 173 | Somalia | 0.0004 | 2019 | unchanged | flat |
| 173 | Chad | 0.0004 | 2019 | up 33.3% | rising |
| 178 | Channel Islands | 0.0003 | 2019 | down 25.0% | falling |
| 179 | Comoros | 0.0002 | 2019 | up 100.0% | rising |
| 179 | French Polynesia | 0.0002 | 2019 | up 100.0% | volatile |
| 179 | Vanuatu | 0.0002 | 2019 | up 100.0% | rising |
| 182 | Aruba | 0.0001 | 2019 | unchanged | falling |
| 182 | Gambia | 0.0001 | 2019 | — | volatile |
| 182 | Equatorial Guinea | 0.0001 | 2019 | — | volatile |
| 182 | Saint Kitts and Nevis | 0.0001 | 2019 | unchanged | falling |
| 182 | Nauru | 0.0001 | 2019 | down 50.0% | falling |
| 182 | Sierra Leone | 0.0001 | 2019 | — | volatile |
| 182 | East Timor | 0.0001 | 2019 | unchanged | rising |
| 189 | Andorra | 0 | 2019 | — | volatile |
| 189 | Isle of Man | 0 | 2019 | — | volatile |
| 189 | Palau | 0 | 2019 | down 100.0% | volatile |
| 189 | Tuvalu | 0 | 2019 | down 100.0% | volatile |
| 189 | British Virgin Islands | 0 | 2019 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Chagai 0.0003
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 1961–2019 with projections for 2030 and 2050 for some categories of emissions or 1990–2019 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).