Emission Totals - Emissions (CO2eq) (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) (AR5) - Manure Management is currently reported for 193 countries. The highest value is 97,937 in China; the lowest is 1.83 in Faroe Islands.
The median across all reporting countries is 475.32, and the mean is 2,488.
The gap between the highest and lowest reporting country is a factor of about 53,404.
Emission Totals - Emissions (CO2eq) (AR5) - Manure Management: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 97,937 | 2050 | β | rising |
| 2 | United States | 53,276 | 2050 | β | falling |
| 3 | India | 44,768 | 2050 | β | rising |
| 4 | Brazil | 15,003 | 2050 | β | rising |
| 5 | Russia | 14,209 | 2050 | β | falling |
| 6 | Pakistan | 11,899 | 2050 | β | volatile |
| 7 | Vietnam | 11,793 | 2050 | β | rising |
| 8 | Germany | 11,192 | 2050 | β | falling |
| 9 | France | 10,959 | 2050 | β | falling |
| 10 | Indonesia | 9,963 | 2050 | β | rising |
| 11 | Myanmar | 9,830 | 2050 | β | volatile |
| 12 | Spain | 9,239 | 2050 | β | rising |
| 13 | Canada | 8,696 | 2050 | β | rising |
| 14 | Philippines | 7,600 | 2050 | β | rising |
| 15 | Australia | 7,195 | 2050 | β | falling |
| 16 | Italy | 5,695 | 2050 | β | falling |
| 17 | United Kingdom | 5,406 | 2050 | β | falling |
| 18 | Poland | 4,894 | 2050 | β | falling |
| 19 | Ukraine | 4,793 | 2050 | β | falling |
| 20 | Mexico | 4,754 | 2050 | β | rising |
| 21 | Thailand | 4,498 | 2050 | β | rising |
| 22 | Netherlands | 4,295 | 2050 | β | rising |
| 23 | New Zealand | 4,038 | 2050 | β | rising |
| 24 | Iran | 3,694 | 2050 | β | rising |
| 25 | Bangladesh | 3,638 | 2050 | β | rising |
| 26 | Nigeria | 3,543 | 2050 | β | volatile |
| 27 | Denmark | 3,438 | 2050 | β | rising |
| 28 | Mozambique | 3,206 | 2050 | β | volatile |
| 29 | Uzbekistan | 2,792 | 2050 | β | rising |
| 30 | Argentina | 2,773 | 2050 | β | rising |
| 31 | Ireland | 2,677 | 2050 | β | rising |
| 32 | Romania | 2,642 | 2050 | β | falling |
| 33 | Cambodia | 2,479 | 2050 | β | rising |
| 34 | Japan | 2,394 | 2050 | β | rising |
| 35 | Kazakhstan | 2,332 | 2050 | β | flat |
| 36 | Colombia | 2,286 | 2050 | β | rising |
| 37 | Belgium | 2,284 | 2050 | β | falling |
| 38 | Ethiopia | 2,276 | 2050 | β | rising |
| 39 | Sudan | 2,207 | 2019 | up 4.2% | flat |
| 40 | Uganda | 2,186 | 2050 | β | volatile |
| 41 | Belarus | 2,094 | 2050 | β | falling |
| 42 | Burkina Faso | 2,063 | 2050 | β | volatile |
| 43 | South Korea | 2,038 | 2050 | β | rising |
| 44 | Laos | 1,964 | 2050 | β | rising |
| 45 | Papua New Guinea | 1,703 | 2050 | β | rising |
| 46 | Venezuela | 1,680 | 2050 | β | rising |
| 47 | Nepal | 1,632 | 2050 | β | rising |
| 48 | Taiwan | 1,595 | 2050 | β | rising |
| 49 | Serbia | 1,508 | 2050 | β | rising |
| 50 | Chad | 1,498 | 2050 | β | volatile |
| 51 | Austria | 1,464 | 2050 | β | falling |
| 52 | Malaysia | 1,457 | 2050 | β | rising |
| 53 | Kenya | 1,433 | 2050 | β | rising |
| 54 | Mongolia | 1,422 | 2050 | β | rising |
| 55 | Tanzania | 1,413 | 2050 | β | rising |
| 56 | Portugal | 1,392 | 2050 | β | rising |
| 57 | Somalia | 1,290 | 2050 | β | rising |
| 58 | Turkey | 1,285 | 2050 | β | falling |
| 59 | South Africa | 1,271 | 2050 | β | rising |
| 60 | Peru | 1,261 | 2050 | β | rising |
| 61 | Switzerland | 1,220 | 2050 | β | falling |
| 62 | Afghanistan | 1,212 | 2050 | β | rising |
| 63 | Turkmenistan | 1,036 | 2050 | β | rising |
| 64 | Sweden | 978.13 | 2050 | β | falling |
| 65 | Mali | 976.33 | 2050 | β | rising |
| 66 | Hungary | 976.26 | 2050 | β | falling |
| 67 | Bolivia | 969.34 | 2050 | β | rising |
| 68 | Niger | 968.86 | 2050 | β | rising |
| 69 | Madagascar | 944.89 | 2050 | β | rising |
| 70 | Angola | 875.18 | 2050 | β | volatile |
| 71 | Czechia | 871.54 | 2050 | β | falling |
| 72 | Guatemala | 862.77 | 2050 | β | volatile |
| 73 | Cameroon | 836.76 | 2050 | β | rising |
| 74 | Greece | 786.56 | 2050 | β | falling |
| 75 | Ecuador | 764.43 | 2050 | β | rising |
| 76 | Paraguay | 763.18 | 2050 | β | rising |
| 77 | Finland | 712.21 | 2050 | β | falling |
| 78 | Norway | 695.76 | 2050 | β | falling |
| 79 | Chile | 695.06 | 2050 | β | rising |
| 80 | Lithuania | 687.24 | 2050 | β | falling |
| 81 | South Sudan | 684.53 | 2019 | up 11.4% | rising |
| 82 | Egypt | 673 | 2050 | β | rising |
| 83 | North Korea | 656.23 | 2050 | β | rising |
| 84 | Croatia | 625.4 | 2050 | β | falling |
| 85 | Dominican Republic | 614.94 | 2050 | β | rising |
| 86 | Democratic Republic of Congo | 601.15 | 2050 | β | rising |
| 87 | Morocco | 585.73 | 2050 | β | rising |
| 88 | Senegal | 577.69 | 2050 | β | rising |
| 89 | Albania | 572.01 | 2050 | β | rising |
| 90 | Cuba | 562.16 | 2050 | β | rising |
| 91 | Tajikistan | 558.21 | 2050 | β | rising |
| 92 | Uruguay | 539.02 | 2050 | β | rising |
| 93 | Central African Republic | 510.94 | 2050 | β | volatile |
| 94 | Bosnia and Herzegovina | 510.87 | 2050 | β | rising |
| 95 | Ghana | 500.6 | 2050 | β | volatile |
| 96 | Bulgaria | 497.75 | 2050 | β | falling |
| 97 | Algeria | 475.32 | 2050 | β | rising |
| 98 | Kyrgyzstan | 472.68 | 2050 | β | rising |
| 99 | Iraq | 421.69 | 2050 | β | rising |
| 100 | Cote d'Ivoire | 411.12 | 2050 | β | volatile |
| 101 | Mauritania | 411.04 | 2050 | β | rising |
| 102 | Yemen | 407.67 | 2050 | β | rising |
| 103 | Nicaragua | 394.69 | 2050 | β | rising |
| 104 | Slovakia | 386.84 | 2050 | β | falling |
| 105 | Rwanda | 382.58 | 2050 | β | volatile |
| 106 | Togo | 360.7 | 2050 | β | volatile |
| 107 | Benin | 360.49 | 2050 | β | rising |
| 108 | Syria | 359.32 | 2050 | β | rising |
| 109 | Haiti | 345.53 | 2050 | β | rising |
| 110 | Guinea | 322.39 | 2050 | β | volatile |
| 111 | Sri Lanka | 304.37 | 2050 | β | falling |
| 112 | Moldova | 300.74 | 2050 | β | falling |
| 113 | Slovenia | 297.28 | 2050 | β | falling |
| 114 | Latvia | 295.91 | 2050 | β | falling |
| 115 | Malawi | 290.14 | 2050 | β | volatile |
| 116 | Honduras | 282.2 | 2050 | β | rising |
| 117 | Saudi Arabia | 266.82 | 2050 | β | volatile |
| 118 | Azerbaijan | 254.58 | 2050 | β | rising |
| 119 | Fiji | 241.22 | 2050 | β | rising |
| 120 | Tunisia | 240.19 | 2050 | β | rising |
| 121 | North Macedonia | 200.74 | 2050 | β | falling |
| 122 | Estonia | 197.49 | 2050 | β | falling |
| 123 | El Salvador | 193.2 | 2050 | β | rising |
| 124 | Samoa | 188.11 | 2050 | β | volatile |
| 125 | East Timor | 178.32 | 2050 | β | rising |
| 126 | Costa Rica | 175.95 | 2050 | β | rising |
| 127 | Georgia | 173.2 | 2050 | β | flat |
| 128 | Panama | 161.7 | 2050 | β | rising |
| 129 | Eritrea | 161.42 | 2050 | β | rising |
| 130 | Botswana | 157.29 | 2050 | β | rising |
| 131 | Namibia | 151.82 | 2050 | β | rising |
| 132 | Libya | 139.01 | 2050 | β | rising |
| 133 | Burundi | 124.55 | 2050 | β | volatile |
| 134 | Israel | 124.15 | 2050 | β | rising |
| 135 | Vanuatu | 119.97 | 2050 | β | rising |
| 136 | Guinea-Bissau | 109.53 | 2050 | β | rising |
| 137 | Kuwait | 102.64 | 2050 | β | volatile |
| 138 | United Arab Emirates | 89.99 | 2050 | β | volatile |
| 139 | Cyprus | 88.96 | 2050 | β | rising |
| 140 | Montenegro | 86.14 | 2050 | β | rising |
| 141 | Luxembourg | 86.09 | 2050 | β | falling |
| 142 | Tonga | 78.47 | 2050 | β | rising |
| 143 | Liberia | 74.7 | 2050 | β | volatile |
| 144 | Armenia | 71.34 | 2050 | β | rising |
| 145 | Sierra Leone | 70.47 | 2050 | β | volatile |
| 146 | Cape Verde | 68.41 | 2050 | β | volatile |
| 147 | Jordan | 68.32 | 2050 | β | rising |
| 148 | Bhutan | 56.9 | 2050 | β | rising |
| 149 | Solomon Islands | 55.97 | 2050 | β | rising |
| 150 | Puerto Rico | 55.2 | 2050 | β | falling |
| 151 | Trinidad and Tobago | 55.12 | 2050 | β | rising |
| 152 | Iceland | 55.12 | 2050 | β | rising |
| 153 | Brunei | 52.91 | 2050 | β | volatile |
| 154 | Gabon | 49.5 | 2050 | β | rising |
| 155 | Eswatini | 48.61 | 2050 | β | rising |
| 156 | New Caledonia | 47.65 | 2050 | β | rising |
| 157 | Malta | 46.81 | 2050 | β | rising |
| 158 | Lesotho | 45.51 | 2050 | β | rising |
| 159 | Jamaica | 43.49 | 2050 | β | rising |
| 160 | Oman | 42.21 | 2050 | β | volatile |
| 161 | Congo | 41.96 | 2050 | β | volatile |
| 162 | Lebanon | 41.73 | 2050 | β | rising |
| 163 | Gambia | 39.12 | 2050 | β | rising |
| 164 | Micronesia (country) | 32.89 | 2050 | β | rising |
| 165 | Guyana | 32.12 | 2050 | β | rising |
| 166 | French Polynesia | 30.14 | 2050 | β | rising |
| 167 | Cook Islands | 29.57 | 2050 | β | volatile |
| 168 | Suriname | 28.83 | 2050 | β | rising |
| 169 | Barbados | 20.59 | 2050 | β | rising |
| 170 | Palestine | 18.2 | 2050 | β | rising |
| 171 | Mauritius | 15.18 | 2050 | β | volatile |
| 172 | Kiribati | 13.95 | 2050 | β | rising |
| 173 | Bahamas | 13.08 | 2050 | β | volatile |
| 174 | Tuvalu | 12.65 | 2050 | β | rising |
| 175 | Belize | 12.5 | 2050 | β | rising |
| 176 | Qatar | 9.91 | 2050 | β | volatile |
| 177 | Saint Lucia | 7.09 | 2050 | β | rising |
| 178 | Hong Kong | 6.26 | 2050 | β | volatile |
| 179 | Sao Tome and Principe | 5.63 | 2050 | β | volatile |
| 180 | Singapore | 5.01 | 2050 | β | volatile |
| 181 | Comoros | 4.51 | 2050 | β | rising |
| 182 | Seychelles | 3.65 | 2050 | β | volatile |
| 183 | Saint Vincent and the Grenadines | 3.07 | 2050 | β | rising |
| 184 | Antigua and Barbuda | 2.93 | 2050 | β | rising |
| 185 | Macao | 2.76 | 2050 | β | volatile |
| 186 | Dominica | 2.69 | 2050 | β | rising |
| 187 | Nauru | 2.23 | 2050 | β | rising |
| 188 | Equatorial Guinea | 2.11 | 2050 | β | rising |
| 189 | Saint Kitts and Nevis | 2.09 | 2050 | β | rising |
| 190 | Niue | 2.05 | 2050 | β | rising |
| 191 | Bahrain | 1.98 | 2050 | β | volatile |
| 192 | Grenada | 1.95 | 2050 | β | rising |
| 193 | Faroe Islands | 1.83 | 2050 | β | falling |
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).