Emission Totals - Emissions (N2O) - Manure left on Pasture 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) - Manure left on Pasture is currently reported for 193 countries. The highest value is 405.35 in Brazil; the lowest is 0 in Nauru.
The median across all reporting countries is 3.44, and the mean is 18.06.
Emission Totals - Emissions (N2O) - Manure left on Pasture: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 405.35 | 2050 | β | rising |
| 2 | China | 350.74 | 2050 | β | rising |
| 3 | India | 309.05 | 2050 | β | rising |
| 4 | United States | 133.45 | 2050 | β | falling |
| 5 | Australia | 118.71 | 2050 | β | falling |
| 6 | Argentina | 111.77 | 2050 | β | flat |
| 7 | Ethiopia | 100.94 | 2050 | β | rising |
| 8 | Pakistan | 91.27 | 2050 | β | rising |
| 9 | Mexico | 84.69 | 2050 | β | rising |
| 10 | Nigeria | 81.9 | 2050 | β | volatile |
| 11 | Sudan | 80.68 | 2019 | up 5.0% | flat |
| 12 | Colombia | 61.25 | 2050 | β | rising |
| 13 | Tanzania | 59.37 | 2050 | β | rising |
| 14 | Chad | 58.55 | 2050 | β | volatile |
| 15 | Kenya | 58.05 | 2050 | β | rising |
| 16 | Turkey | 53.65 | 2050 | β | falling |
| 17 | Iran | 46.54 | 2050 | β | rising |
| 18 | Indonesia | 46.48 | 2050 | β | rising |
| 19 | New Zealand | 42.17 | 2050 | β | falling |
| 20 | Somalia | 41.78 | 2050 | β | rising |
| 21 | South Africa | 41.1 | 2050 | β | rising |
| 22 | Mali | 39.47 | 2050 | β | rising |
| 23 | Venezuela | 38.02 | 2050 | β | rising |
| 24 | Bangladesh | 37.85 | 2050 | β | rising |
| 25 | Niger | 37.55 | 2050 | β | rising |
| 26 | Burkina Faso | 33.78 | 2050 | β | volatile |
| 27 | South Sudan | 33.2 | 2019 | up 10.8% | rising |
| 28 | Uganda | 29.65 | 2050 | β | volatile |
| 29 | Paraguay | 29.48 | 2050 | β | rising |
| 30 | Madagascar | 26.56 | 2050 | β | rising |
| 31 | Egypt | 25.55 | 2050 | β | rising |
| 32 | Myanmar | 25.14 | 2050 | β | rising |
| 33 | Uruguay | 24.48 | 2050 | β | rising |
| 34 | Vietnam | 23.56 | 2050 | β | rising |
| 35 | Canada | 22.03 | 2050 | β | rising |
| 36 | Morocco | 21.09 | 2050 | β | rising |
| 37 | Peru | 18.98 | 2050 | β | rising |
| 38 | Afghanistan | 18.65 | 2050 | β | rising |
| 39 | Bolivia | 18.39 | 2050 | β | rising |
| 40 | Algeria | 18.2 | 2050 | β | rising |
| 41 | Russia | 18.16 | 2050 | β | falling |
| 42 | Senegal | 17.48 | 2050 | β | rising |
| 43 | Cameroon | 17.29 | 2050 | β | rising |
| 44 | Syria | 16.14 | 2050 | β | rising |
| 45 | United Kingdom | 15.81 | 2050 | β | flat |
| 46 | Central African Republic | 15.38 | 2050 | β | volatile |
| 47 | Yemen | 15.38 | 2050 | β | rising |
| 48 | Philippines | 15.23 | 2050 | β | rising |
| 49 | Angola | 15.22 | 2050 | β | rising |
| 50 | France | 14.49 | 2050 | β | falling |
| 51 | Mauritania | 14.4 | 2050 | β | rising |
| 52 | Ecuador | 13.63 | 2050 | β | rising |
| 53 | Guinea | 13.37 | 2050 | β | volatile |
| 54 | Iraq | 13.21 | 2050 | β | flat |
| 55 | Mongolia | 12.74 | 2050 | β | rising |
| 56 | Chile | 11.45 | 2050 | β | rising |
| 57 | Nepal | 11.28 | 2050 | β | rising |
| 58 | Spain | 11.06 | 2050 | β | rising |
| 59 | Kazakhstan | 10.75 | 2050 | β | flat |
| 60 | Thailand | 10.67 | 2050 | β | falling |
| 61 | Uzbekistan | 10.02 | 2050 | β | rising |
| 62 | Nicaragua | 9.61 | 2050 | β | rising |
| 63 | Azerbaijan | 9.23 | 2050 | β | rising |
| 64 | Cuba | 9.19 | 2050 | β | falling |
| 65 | Germany | 8.87 | 2050 | β | falling |
| 66 | Benin | 8.56 | 2050 | β | volatile |
| 67 | Mozambique | 8.28 | 2050 | β | rising |
| 68 | Ghana | 8.22 | 2050 | β | rising |
| 69 | Tunisia | 8.07 | 2050 | β | rising |
| 70 | Dominican Republic | 7.91 | 2050 | β | rising |
| 71 | Guatemala | 7.68 | 2050 | β | rising |
| 72 | Botswana | 6.97 | 2050 | β | rising |
| 73 | Eritrea | 6.8 | 2050 | β | rising |
| 74 | Turkmenistan | 6.69 | 2050 | β | rising |
| 75 | Democratic Republic of Congo | 6.66 | 2050 | β | rising |
| 76 | Italy | 6.51 | 2050 | β | falling |
| 77 | Namibia | 6.29 | 2050 | β | rising |
| 78 | Saudi Arabia | 6.07 | 2050 | β | rising |
| 79 | Cote d'Ivoire | 5.89 | 2050 | β | rising |
| 80 | Libya | 5.82 | 2050 | β | rising |
| 81 | Ireland | 5.6 | 2050 | β | rising |
| 82 | Japan | 5.57 | 2050 | β | rising |
| 83 | South Korea | 5.17 | 2050 | β | rising |
| 84 | Laos | 5.07 | 2050 | β | rising |
| 85 | Malawi | 4.92 | 2050 | β | volatile |
| 86 | Cambodia | 4.85 | 2050 | β | rising |
| 87 | Greece | 4.78 | 2050 | β | falling |
| 88 | Haiti | 4.73 | 2050 | β | rising |
| 89 | Honduras | 4.36 | 2050 | β | rising |
| 90 | Rwanda | 4.27 | 2050 | β | rising |
| 91 | Ukraine | 3.97 | 2050 | β | volatile |
| 92 | Romania | 3.93 | 2050 | β | falling |
| 93 | North Korea | 3.78 | 2050 | β | rising |
| 94 | Togo | 3.69 | 2050 | β | volatile |
| 95 | Georgia | 3.69 | 2050 | β | rising |
| 96 | El Salvador | 3.5 | 2050 | β | rising |
| 97 | Panama | 3.44 | 2050 | β | rising |
| 98 | Malaysia | 3.29 | 2050 | β | rising |
| 99 | Netherlands | 2.93 | 2050 | β | flat |
| 100 | Poland | 2.57 | 2050 | β | falling |
| 101 | Kyrgyzstan | 2.51 | 2050 | β | rising |
| 102 | Lesotho | 2.48 | 2050 | β | rising |
| 103 | Tajikistan | 2.36 | 2050 | β | rising |
| 104 | Costa Rica | 2.24 | 2050 | β | falling |
| 105 | Burundi | 2.21 | 2050 | β | rising |
| 106 | Armenia | 2.01 | 2050 | β | rising |
| 107 | United Arab Emirates | 1.91 | 2050 | β | volatile |
| 108 | Sierra Leone | 1.91 | 2050 | β | volatile |
| 109 | Belarus | 1.84 | 2050 | β | falling |
| 110 | Portugal | 1.81 | 2050 | β | falling |
| 111 | Israel | 1.78 | 2050 | β | rising |
| 112 | Jordan | 1.78 | 2050 | β | rising |
| 113 | Eswatini | 1.66 | 2050 | β | rising |
| 114 | Sri Lanka | 1.63 | 2050 | β | falling |
| 115 | Belgium | 1.61 | 2050 | β | falling |
| 116 | Albania | 1.6 | 2050 | β | rising |
| 117 | Guinea-Bissau | 1.56 | 2050 | β | rising |
| 118 | Kuwait | 1.53 | 2050 | β | volatile |
| 119 | Norway | 1.48 | 2050 | β | flat |
| 120 | Serbia | 1.44 | 2050 | β | rising |
| 121 | Switzerland | 1.37 | 2050 | β | falling |
| 122 | Gambia | 1.36 | 2050 | β | rising |
| 123 | Austria | 1.36 | 2050 | β | falling |
| 124 | Taiwan | 1.36 | 2050 | β | rising |
| 125 | Oman | 1.2 | 2050 | β | volatile |
| 126 | Sweden | 1.13 | 2050 | β | falling |
| 127 | Fiji | 1.05 | 2050 | β | rising |
| 128 | Denmark | 1.03 | 2050 | β | falling |
| 129 | Bulgaria | 1.02 | 2050 | β | volatile |
| 130 | Puerto Rico | 0.9674 | 2050 | β | falling |
| 131 | Lebanon | 0.9479 | 2050 | β | rising |
| 132 | Congo | 0.9126 | 2050 | β | volatile |
| 133 | Jamaica | 0.8486 | 2050 | β | rising |
| 134 | Bosnia and Herzegovina | 0.7607 | 2050 | β | rising |
| 135 | Hungary | 0.6937 | 2050 | β | falling |
| 136 | Finland | 0.6503 | 2050 | β | falling |
| 137 | Croatia | 0.6476 | 2050 | β | rising |
| 138 | Palestine | 0.6383 | 2050 | β | rising |
| 139 | North Macedonia | 0.6296 | 2050 | β | falling |
| 140 | Lithuania | 0.5859 | 2050 | β | falling |
| 141 | Czechia | 0.5681 | 2050 | β | falling |
| 142 | Liberia | 0.5564 | 2050 | β | rising |
| 143 | Moldova | 0.5193 | 2050 | β | falling |
| 144 | Vanuatu | 0.4612 | 2050 | β | rising |
| 145 | East Timor | 0.4255 | 2050 | β | rising |
| 146 | Guyana | 0.4179 | 2050 | β | falling |
| 147 | Bhutan | 0.3489 | 2050 | β | rising |
| 148 | Brunei | 0.3375 | 2050 | β | volatile |
| 149 | Slovenia | 0.3244 | 2050 | β | flat |
| 150 | Trinidad and Tobago | 0.3189 | 2050 | β | rising |
| 151 | Cyprus | 0.3058 | 2050 | β | rising |
| 152 | Slovakia | 0.296 | 2050 | β | falling |
| 153 | Papua New Guinea | 0.2811 | 2050 | β | rising |
| 154 | New Caledonia | 0.277 | 2050 | β | falling |
| 155 | Latvia | 0.2679 | 2050 | β | falling |
| 156 | Iceland | 0.2576 | 2050 | β | falling |
| 157 | Gabon | 0.2352 | 2050 | β | rising |
| 158 | Mauritius | 0.2303 | 2050 | β | rising |
| 159 | Suriname | 0.2131 | 2050 | β | rising |
| 160 | Belize | 0.1856 | 2050 | β | rising |
| 161 | Comoros | 0.1837 | 2050 | β | rising |
| 162 | Qatar | 0.1746 | 2050 | β | volatile |
| 163 | Estonia | 0.1743 | 2050 | β | falling |
| 164 | Montenegro | 0.1738 | 2050 | β | rising |
| 165 | Cape Verde | 0.1251 | 2050 | β | rising |
| 166 | Barbados | 0.118 | 2050 | β | rising |
| 167 | Luxembourg | 0.1147 | 2050 | β | falling |
| 168 | Samoa | 0.0918 | 2050 | β | rising |
| 169 | Bahamas | 0.0775 | 2050 | β | rising |
| 170 | Micronesia (country) | 0.0626 | 2050 | β | rising |
| 171 | Bahrain | 0.0528 | 2050 | β | volatile |
| 172 | Antigua and Barbuda | 0.0493 | 2050 | β | rising |
| 173 | Tonga | 0.0446 | 2050 | β | rising |
| 174 | Solomon Islands | 0.0427 | 2050 | β | rising |
| 175 | Saint Lucia | 0.0405 | 2050 | β | rising |
| 176 | Singapore | 0.0378 | 2050 | β | falling |
| 177 | Dominica | 0.0344 | 2050 | β | rising |
| 178 | Sao Tome and Principe | 0.0319 | 2050 | β | rising |
| 179 | Equatorial Guinea | 0.0316 | 2050 | β | rising |
| 180 | French Polynesia | 0.0293 | 2050 | β | falling |
| 181 | Seychelles | 0.0247 | 2050 | β | rising |
| 182 | Faroe Islands | 0.0239 | 2050 | β | flat |
| 183 | Grenada | 0.0219 | 2050 | β | flat |
| 184 | Saint Vincent and the Grenadines | 0.0208 | 2050 | β | rising |
| 185 | Malta | 0.0192 | 2050 | β | flat |
| 186 | Saint Kitts and Nevis | 0.019 | 2050 | β | falling |
| 187 | Macao | 0.0183 | 2050 | β | volatile |
| 188 | Hong Kong | 0.0052 | 2050 | β | volatile |
| 189 | Cook Islands | 0.001 | 2050 | β | volatile |
| 190 | Kiribati | 0.0008 | 2050 | β | volatile |
| 191 | Niue | 0.0004 | 2050 | β | volatile |
| 192 | Tuvalu | 0.0001 | 2050 | β | volatile |
| 193 | Nauru | 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).