Emission Totals - Emissions (CH4) - Rice Cultivation 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 (CH4) - Rice Cultivation is currently reported for 118 countries. The highest value is 4,895 in China; the lowest is 0 in Saudi Arabia.
The median across all reporting countries is 9.7, and the mean is 199.24.
Over the past decade 1 countries rose and 1 fell. The largest increase was in Sudan (up 52.6%), and the largest decrease in Albania (down 100.0%).
Emission Totals - Emissions (CH4) - Rice Cultivation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 4,895 | 2050 | β | falling |
| 2 | India | 3,595 | 2050 | β | rising |
| 3 | Indonesia | 2,654 | 2050 | β | rising |
| 4 | Myanmar | 1,559 | 2050 | β | rising |
| 5 | Philippines | 1,447 | 2050 | β | rising |
| 6 | Vietnam | 1,233 | 2050 | β | rising |
| 7 | Bangladesh | 1,079 | 2050 | β | rising |
| 8 | Thailand | 962.11 | 2050 | β | rising |
| 9 | Cambodia | 677.66 | 2050 | β | rising |
| 10 | United States | 527.61 | 2050 | β | rising |
| 11 | Nigeria | 524.73 | 2050 | β | volatile |
| 12 | Pakistan | 375.29 | 2050 | β | rising |
| 13 | Madagascar | 286.57 | 2050 | β | rising |
| 14 | Egypt | 280 | 2050 | β | rising |
| 15 | Japan | 250.14 | 2050 | β | falling |
| 16 | Brazil | 179.32 | 2050 | β | falling |
| 17 | Tanzania | 162.67 | 2050 | β | volatile |
| 18 | Iran | 157.31 | 2050 | β | rising |
| 19 | Nepal | 156.84 | 2050 | β | rising |
| 20 | Colombia | 154.99 | 2050 | β | rising |
| 21 | South Korea | 150.69 | 2050 | β | falling |
| 22 | North Korea | 138.41 | 2050 | β | rising |
| 23 | Malaysia | 126.52 | 2050 | β | rising |
| 24 | Peru | 118.56 | 2050 | β | volatile |
| 25 | Italy | 114.64 | 2050 | β | rising |
| 26 | Guinea | 109 | 2050 | β | volatile |
| 27 | Argentina | 100.74 | 2050 | β | rising |
| 28 | Venezuela | 84.32 | 2050 | β | rising |
| 29 | Ecuador | 83.74 | 2050 | β | volatile |
| 30 | Burkina Faso | 82.61 | 2050 | β | volatile |
| 31 | Laos | 77.18 | 2050 | β | rising |
| 32 | Sri Lanka | 73.59 | 2050 | β | rising |
| 33 | Russia | 73.18 | 2050 | β | rising |
| 34 | Dominican Republic | 65.51 | 2050 | β | rising |
| 35 | Uruguay | 61.6 | 2050 | β | volatile |
| 36 | Spain | 54.96 | 2050 | β | rising |
| 37 | Mali | 54.09 | 2050 | β | volatile |
| 38 | Turkey | 53.79 | 2050 | β | rising |
| 39 | Cuba | 53.57 | 2050 | β | rising |
| 40 | Iraq | 53.05 | 2050 | β | rising |
| 41 | Mozambique | 52.7 | 2050 | β | volatile |
| 42 | Taiwan | 45.92 | 2050 | β | falling |
| 43 | Sierra Leone | 42.68 | 2050 | β | rising |
| 44 | Afghanistan | 41.33 | 2050 | β | falling |
| 45 | Australia | 36 | 2050 | β | volatile |
| 46 | Guyana | 31.55 | 2050 | β | rising |
| 47 | Senegal | 22.61 | 2050 | β | volatile |
| 48 | Cote d'Ivoire | 22.18 | 2050 | β | rising |
| 49 | Ghana | 22.17 | 2050 | β | volatile |
| 50 | Uganda | 21.31 | 2050 | β | volatile |
| 51 | Kazakhstan | 18.78 | 2050 | β | rising |
| 52 | Suriname | 16.78 | 2050 | β | rising |
| 53 | Bolivia | 16.08 | 2050 | β | volatile |
| 54 | Democratic Republic of Congo | 14.68 | 2050 | β | volatile |
| 55 | Portugal | 12.63 | 2050 | β | falling |
| 56 | Greece | 11.94 | 2050 | β | rising |
| 57 | Uzbekistan | 11.65 | 2050 | β | volatile |
| 58 | Haiti | 10.12 | 2050 | β | rising |
| 59 | Mauritania | 9.78 | 2050 | β | volatile |
| 60 | Turkmenistan | 9.62 | 2050 | β | volatile |
| 61 | Paraguay | 9.52 | 2050 | β | volatile |
| 62 | France | 9.43 | 2050 | β | falling |
| 63 | Chad | 8.62 | 2050 | β | volatile |
| 64 | East Timor | 8.18 | 2050 | β | volatile |
| 65 | Malawi | 8.07 | 2050 | β | volatile |
| 66 | Guinea-Bissau | 8.03 | 2050 | β | rising |
| 67 | Ukraine | 7.92 | 2050 | β | falling |
| 68 | Comoros | 7.39 | 2050 | β | rising |
| 69 | Mexico | 7.25 | 2050 | β | falling |
| 70 | Gambia | 7.01 | 2050 | β | volatile |
| 71 | Cameroon | 6.7 | 2050 | β | volatile |
| 72 | Chile | 5.62 | 2050 | β | falling |
| 73 | Nicaragua | 4.48 | 2050 | β | volatile |
| 74 | Liberia | 4.41 | 2050 | β | rising |
| 75 | Burundi | 4.22 | 2050 | β | volatile |
| 76 | Rwanda | 3.81 | 2050 | β | volatile |
| 77 | Benin | 3.78 | 2050 | β | volatile |
| 78 | Tajikistan | 3.72 | 2050 | β | flat |
| 79 | Central African Republic | 3.26 | 2050 | β | volatile |
| 80 | Angola | 3.17 | 2050 | β | volatile |
| 81 | Bhutan | 3.01 | 2050 | β | falling |
| 82 | Niger | 2.9 | 2050 | β | rising |
| 83 | Morocco | 2.46 | 2050 | β | rising |
| 84 | Kenya | 2.18 | 2050 | β | volatile |
| 85 | Costa Rica | 2.07 | 2050 | β | falling |
| 86 | Panama | 1.67 | 2050 | β | falling |
| 87 | Sudan | 1.62 | 2019 | up 52.6% | rising |
| 88 | Romania | 1.59 | 2050 | β | volatile |
| 89 | Bulgaria | 1.46 | 2050 | β | falling |
| 90 | Kyrgyzstan | 1.32 | 2050 | β | rising |
| 91 | Ethiopia | 1.05 | 2050 | β | volatile |
| 92 | Togo | 0.968 | 2050 | β | volatile |
| 93 | North Macedonia | 0.9164 | 2050 | β | falling |
| 94 | Somalia | 0.728 | 2050 | β | volatile |
| 95 | Hungary | 0.7179 | 2050 | β | volatile |
| 96 | Fiji | 0.684 | 2050 | β | falling |
| 97 | Azerbaijan | 0.4207 | 2050 | β | flat |
| 98 | Trinidad and Tobago | 0.3941 | 2050 | β | falling |
| 99 | Honduras | 0.3302 | 2050 | β | falling |
| 100 | Guatemala | 0.3246 | 2050 | β | falling |
| 101 | South Africa | 0.2883 | 2050 | β | falling |
| 102 | El Salvador | 0.1979 | 2050 | β | volatile |
| 103 | Solomon Islands | 0.1908 | 2050 | β | volatile |
| 104 | Brunei | 0.1664 | 2050 | β | volatile |
| 105 | Algeria | 0.1588 | 2050 | β | volatile |
| 106 | Congo | 0.1104 | 2050 | β | volatile |
| 107 | Belize | 0.1094 | 2050 | β | rising |
| 108 | Papua New Guinea | 0.0808 | 2050 | β | falling |
| 109 | Gabon | 0.0448 | 2050 | β | rising |
| 110 | Micronesia (country) | 0.0216 | 2050 | β | rising |
| 111 | Eswatini | 0.0113 | 2050 | β | volatile |
| 112 | Syria | 0.0056 | 1996 | unchanged | volatile |
| 113 | Jamaica | 0.001 | 2050 | β | volatile |
| 114 | Albania | 0 | 1995 | down 100.0% | falling |
| 114 | Hong Kong | 0 | 2050 | β | volatile |
| 114 | Mauritius | 0 | 2050 | β | volatile |
| 114 | Puerto Rico | 0 | 2050 | β | volatile |
| 114 | Saudi Arabia | 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).