Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 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 (CO2eq) from N2O (AR5) - Manure Management is currently reported for 193 countries. The highest value is 54,644 in China; the lowest is 0.1729 in Nauru.
The median across all reporting countries is 125.3, and the mean is 854.37.
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 54,644 | 2050 | β | rising |
| 2 | United States | 13,818 | 2050 | β | flat |
| 3 | Indonesia | 5,266 | 2050 | β | rising |
| 4 | India | 5,224 | 2050 | β | rising |
| 5 | Myanmar | 5,221 | 2050 | β | rising |
| 6 | Russia | 5,137 | 2050 | β | falling |
| 7 | Brazil | 5,032 | 2050 | β | rising |
| 8 | Vietnam | 5,031 | 2050 | β | rising |
| 9 | France | 3,115 | 2050 | β | falling |
| 10 | Philippines | 2,835 | 2050 | β | rising |
| 11 | Germany | 2,638 | 2050 | β | falling |
| 12 | Mozambique | 2,466 | 2050 | β | volatile |
| 13 | Thailand | 2,045 | 2050 | β | falling |
| 14 | Canada | 1,974 | 2050 | β | rising |
| 15 | Mexico | 1,951 | 2050 | β | rising |
| 16 | United Kingdom | 1,726 | 2050 | β | falling |
| 17 | Australia | 1,626 | 2050 | β | rising |
| 18 | Spain | 1,598 | 2050 | β | rising |
| 19 | Nigeria | 1,538 | 2050 | β | volatile |
| 20 | Poland | 1,529 | 2050 | β | falling |
| 21 | Ukraine | 1,527 | 2050 | β | volatile |
| 22 | Pakistan | 1,524 | 2050 | β | volatile |
| 23 | Italy | 1,380 | 2050 | β | falling |
| 24 | Uzbekistan | 1,371 | 2050 | β | rising |
| 25 | Uganda | 1,361 | 2050 | β | volatile |
| 26 | Kazakhstan | 1,227 | 2050 | β | flat |
| 27 | South Korea | 1,158 | 2050 | β | rising |
| 28 | Cambodia | 1,126 | 2050 | β | rising |
| 29 | Japan | 1,102 | 2050 | β | rising |
| 30 | Laos | 1,049 | 2050 | β | rising |
| 31 | Iran | 1,018 | 2050 | β | rising |
| 32 | Burkina Faso | 956.24 | 2050 | β | volatile |
| 33 | Netherlands | 950.38 | 2050 | β | rising |
| 34 | Ireland | 893.75 | 2050 | β | rising |
| 35 | Mongolia | 836.7 | 2050 | β | rising |
| 36 | Romania | 801.19 | 2050 | β | falling |
| 37 | Belarus | 756.48 | 2050 | β | falling |
| 38 | Colombia | 708.62 | 2050 | β | rising |
| 39 | Bangladesh | 663.81 | 2050 | β | rising |
| 40 | Denmark | 572.98 | 2050 | β | falling |
| 41 | Peru | 513.13 | 2050 | β | rising |
| 42 | Belgium | 510.13 | 2050 | β | falling |
| 43 | Venezuela | 506.81 | 2050 | β | rising |
| 44 | Guatemala | 504.58 | 2050 | β | volatile |
| 45 | Angola | 482.52 | 2050 | β | volatile |
| 46 | Turkmenistan | 466.85 | 2050 | β | rising |
| 47 | Argentina | 448.18 | 2050 | β | rising |
| 48 | Malaysia | 434.75 | 2050 | β | rising |
| 49 | Cameroon | 409.28 | 2050 | β | rising |
| 50 | New Zealand | 406.57 | 2050 | β | rising |
| 51 | South Africa | 395.61 | 2050 | β | rising |
| 52 | Chile | 386.31 | 2050 | β | volatile |
| 53 | Democratic Republic of Congo | 380.5 | 2050 | β | rising |
| 54 | Madagascar | 379.54 | 2050 | β | rising |
| 55 | Austria | 363.54 | 2050 | β | falling |
| 56 | Bolivia | 352.77 | 2050 | β | volatile |
| 57 | Serbia | 341.68 | 2050 | β | rising |
| 58 | Switzerland | 340.12 | 2050 | β | falling |
| 59 | Tanzania | 333.69 | 2050 | β | rising |
| 60 | North Korea | 330.76 | 2050 | β | flat |
| 61 | Ecuador | 312.98 | 2050 | β | rising |
| 62 | Taiwan | 306.1 | 2050 | β | rising |
| 63 | Czechia | 294.56 | 2050 | β | falling |
| 64 | Kenya | 292.01 | 2050 | β | rising |
| 65 | Ethiopia | 291.69 | 2050 | β | rising |
| 66 | Turkey | 290.29 | 2050 | β | rising |
| 67 | Hungary | 288.67 | 2050 | β | falling |
| 68 | Tajikistan | 273.01 | 2050 | β | rising |
| 69 | Portugal | 271.52 | 2050 | β | rising |
| 70 | Sweden | 258.81 | 2050 | β | falling |
| 71 | Dominican Republic | 254.25 | 2050 | β | rising |
| 72 | Rwanda | 252.21 | 2050 | β | volatile |
| 73 | Ghana | 251.18 | 2050 | β | volatile |
| 74 | Cuba | 244.18 | 2050 | β | rising |
| 75 | Kyrgyzstan | 226.19 | 2050 | β | rising |
| 76 | Afghanistan | 224.44 | 2050 | β | rising |
| 77 | Togo | 223.2 | 2050 | β | volatile |
| 78 | Cote d'Ivoire | 223.09 | 2050 | β | volatile |
| 79 | Sudan | 215.92 | 2019 | up 6.0% | rising |
| 80 | Nepal | 211.32 | 2050 | β | rising |
| 81 | Norway | 204.95 | 2050 | β | falling |
| 82 | Greece | 193.39 | 2050 | β | falling |
| 83 | Central African Republic | 190.88 | 2050 | β | volatile |
| 84 | Finland | 178.44 | 2050 | β | falling |
| 85 | Lithuania | 178.31 | 2050 | β | falling |
| 86 | Haiti | 172.84 | 2050 | β | falling |
| 87 | Albania | 170.64 | 2050 | β | rising |
| 88 | Bulgaria | 161.11 | 2050 | β | falling |
| 89 | Malawi | 159.31 | 2050 | β | volatile |
| 90 | Paraguay | 146.8 | 2050 | β | rising |
| 91 | Chad | 146.4 | 2050 | β | volatile |
| 92 | Bosnia and Herzegovina | 146.3 | 2050 | β | rising |
| 93 | Croatia | 143.06 | 2050 | β | falling |
| 94 | Papua New Guinea | 140.31 | 2050 | β | rising |
| 95 | Benin | 138.97 | 2050 | β | rising |
| 96 | Senegal | 135.32 | 2050 | β | volatile |
| 97 | Mali | 125.3 | 2050 | β | rising |
| 98 | Honduras | 123.02 | 2050 | β | rising |
| 99 | Egypt | 122.49 | 2050 | β | rising |
| 100 | Slovakia | 121.91 | 2050 | β | falling |
| 101 | Nicaragua | 120.75 | 2050 | β | rising |
| 102 | Moldova | 114.02 | 2050 | β | falling |
| 103 | Morocco | 110.22 | 2050 | β | rising |
| 104 | South Sudan | 106.86 | 2019 | up 11.4% | rising |
| 105 | Niger | 105.56 | 2050 | β | rising |
| 106 | Somalia | 96.78 | 2050 | β | rising |
| 107 | Algeria | 86.37 | 2050 | β | rising |
| 108 | El Salvador | 84.15 | 2050 | β | rising |
| 109 | Costa Rica | 83.77 | 2050 | β | rising |
| 110 | Latvia | 79.12 | 2050 | β | falling |
| 111 | Slovenia | 77.41 | 2050 | β | falling |
| 112 | Georgia | 76.97 | 2050 | β | falling |
| 113 | East Timor | 75.64 | 2050 | β | rising |
| 114 | Burundi | 70.94 | 2050 | β | volatile |
| 115 | Iraq | 62.29 | 2050 | β | rising |
| 116 | Guinea-Bissau | 62.17 | 2050 | β | rising |
| 117 | Panama | 60.08 | 2050 | β | rising |
| 118 | Guinea | 59.42 | 2050 | β | volatile |
| 119 | North Macedonia | 59.35 | 2050 | β | falling |
| 120 | Saudi Arabia | 58.5 | 2050 | β | volatile |
| 121 | Uruguay | 58.16 | 2050 | β | rising |
| 122 | Yemen | 58 | 2050 | β | rising |
| 123 | Cape Verde | 53.16 | 2050 | β | volatile |
| 124 | Estonia | 51.14 | 2050 | β | falling |
| 125 | Israel | 50.1 | 2050 | β | rising |
| 126 | Tunisia | 48.99 | 2050 | β | rising |
| 127 | Liberia | 48.49 | 2050 | β | volatile |
| 128 | Cyprus | 45.44 | 2050 | β | volatile |
| 129 | Fiji | 44.65 | 2050 | β | rising |
| 130 | Azerbaijan | 42.54 | 2050 | β | rising |
| 131 | Sri Lanka | 42.5 | 2050 | β | falling |
| 132 | Syria | 40.86 | 2050 | β | volatile |
| 133 | Gabon | 35.69 | 2050 | β | rising |
| 134 | Mauritania | 35.43 | 2050 | β | rising |
| 135 | Namibia | 34.61 | 2050 | β | rising |
| 136 | Lesotho | 29.53 | 2050 | β | rising |
| 137 | Kuwait | 28.79 | 2050 | β | volatile |
| 138 | Montenegro | 27.71 | 2050 | β | rising |
| 139 | Armenia | 26.81 | 2050 | β | rising |
| 140 | Luxembourg | 26.23 | 2050 | β | falling |
| 141 | Trinidad and Tobago | 25.03 | 2050 | β | rising |
| 142 | Brunei | 23.58 | 2050 | β | volatile |
| 143 | Libya | 23.14 | 2050 | β | rising |
| 144 | Botswana | 21.86 | 2050 | β | rising |
| 145 | Puerto Rico | 20.49 | 2050 | β | falling |
| 146 | Eritrea | 19.34 | 2050 | β | rising |
| 147 | Congo | 19.18 | 2050 | β | volatile |
| 148 | Vanuatu | 17.43 | 2050 | β | rising |
| 149 | Samoa | 16.58 | 2050 | β | rising |
| 150 | Iceland | 16.42 | 2050 | β | falling |
| 151 | Jamaica | 15.44 | 2050 | β | rising |
| 152 | Eswatini | 14.77 | 2050 | β | rising |
| 153 | Jordan | 14.75 | 2050 | β | volatile |
| 154 | Lebanon | 14.38 | 2050 | β | rising |
| 155 | Suriname | 13.43 | 2050 | β | rising |
| 156 | United Arab Emirates | 12.87 | 2050 | β | volatile |
| 157 | Guyana | 12.11 | 2050 | β | rising |
| 158 | Sierra Leone | 11.67 | 2050 | β | volatile |
| 159 | New Caledonia | 10.68 | 2050 | β | rising |
| 160 | Barbados | 9.98 | 2050 | β | rising |
| 161 | Gambia | 8.77 | 2050 | β | rising |
| 162 | Tonga | 7.14 | 2050 | β | rising |
| 163 | Bahamas | 6.04 | 2050 | β | rising |
| 164 | Malta | 6.02 | 2050 | β | rising |
| 165 | Belize | 5.46 | 2050 | β | rising |
| 166 | Solomon Islands | 5.29 | 2050 | β | rising |
| 167 | Mauritius | 4.44 | 2050 | β | volatile |
| 168 | Bhutan | 4.06 | 2050 | β | rising |
| 169 | Oman | 3.94 | 2050 | β | volatile |
| 170 | Sao Tome and Principe | 3.71 | 2050 | β | volatile |
| 171 | Micronesia (country) | 3.61 | 2050 | β | rising |
| 172 | French Polynesia | 3.5 | 2050 | β | rising |
| 173 | Saint Lucia | 3.48 | 2050 | β | rising |
| 174 | Palestine | 3.38 | 2050 | β | rising |
| 175 | Singapore | 2.56 | 2050 | β | volatile |
| 176 | Kiribati | 2.29 | 2050 | β | rising |
| 177 | Cook Islands | 2.2 | 2050 | β | rising |
| 178 | Seychelles | 2.19 | 2050 | β | volatile |
| 179 | Qatar | 1.87 | 2050 | β | volatile |
| 180 | Saint Vincent and the Grenadines | 1.79 | 2050 | β | rising |
| 181 | Hong Kong | 1.49 | 2050 | β | volatile |
| 182 | Dominica | 1.34 | 2050 | β | rising |
| 183 | Macao | 1.23 | 2050 | β | volatile |
| 184 | Equatorial Guinea | 1.17 | 2050 | β | rising |
| 185 | Saint Kitts and Nevis | 1.08 | 2050 | β | volatile |
| 186 | Tuvalu | 1.04 | 2050 | β | rising |
| 187 | Antigua and Barbuda | 0.9372 | 2050 | β | rising |
| 188 | Grenada | 0.9086 | 2050 | β | rising |
| 189 | Faroe Islands | 0.7467 | 2050 | β | falling |
| 190 | Comoros | 0.6957 | 2050 | β | rising |
| 191 | Bahrain | 0.3505 | 2050 | β | volatile |
| 192 | Niue | 0.1863 | 2050 | β | rising |
| 193 | Nauru | 0.1729 | 2050 | β | rising |
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).