Rice Cultivation — Emissions (CH4) by country
The FAOSTAT domain on Emissions Totals summarizes the greenhouse gas (GHG) emissions disseminated in the FAOSTAT Climate Change domains of emissions from agrifood systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas...
What the numbers show
Rice Cultivation — Emissions (CH4) is currently reported for 115 countries. The highest value is 4,898 kt in China (People’s Republic of); the lowest is 0 kt in China, Hong Kong SAR.
The median across all reporting countries is 8.03 kt, and the mean is 237.5 kt.
Over the past decade 3 countries rose and 4 fell. The largest increase was in South Sudan (up 75.0%), and the largest decrease in Albania (down 100.0%).
Rice Cultivation — Emissions: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China (People’s Republic of) | 4,898 kt | 2050 | — | falling |
| 2 | China, mainland | 4,852 kt | 2050 | — | falling |
| 3 | India | 3,595 kt | 2050 | — | rising |
| 4 | Indonesia | 2,654 kt | 2050 | — | rising |
| 5 | Myanmar | 1,559 kt | 2050 | — | rising |
| 6 | Philippines | 1,447 kt | 2050 | — | rising |
| 7 | OECD | 1,235 kt | 2050 | — | falling |
| 8 | Bangladesh | 1,079 kt | 2050 | — | rising |
| 9 | Thailand | 962.11 kt | 2050 | — | rising |
| 10 | Cambodia | 677.66 kt | 2050 | — | rising |
| 11 | Nigeria | 524.73 kt | 2050 | — | volatile |
| 12 | Pakistan | 375.29 kt | 2050 | — | rising |
| 13 | Madagascar | 286.57 kt | 2050 | — | rising |
| 14 | Egypt | 280 kt | 2050 | — | rising |
| 15 | Japan | 250.14 kt | 2050 | — | falling |
| 16 | Brazil | 179.32 kt | 2050 | — | falling |
| 17 | USSR | 167.83 kt | 1991 | down 5.5% | rising |
| 18 | Nepal | 157.1 kt | 2050 | — | rising |
| 19 | Colombia | 154.99 kt | 2050 | — | rising |
| 20 | Republic of Korea | 150.69 kt | 2050 | — | falling |
| 21 | Malaysia | 126.52 kt | 2050 | — | rising |
| 22 | Peru | 118.56 kt | 2050 | — | volatile |
| 23 | Italy | 114.64 kt | 2050 | — | rising |
| 24 | Guinea | 109 kt | 2050 | — | volatile |
| 25 | Argentina | 100.74 kt | 2050 | — | rising |
| 26 | Ecuador | 83.74 kt | 2050 | — | rising |
| 27 | Burkina Faso | 82.61 kt | 2050 | — | volatile |
| 28 | Sri Lanka | 73.59 kt | 2050 | — | rising |
| 29 | Russian Federation | 73.18 kt | 2050 | — | rising |
| 30 | Dominican Republic | 65.51 kt | 2050 | — | rising |
| 31 | Uruguay | 61.6 kt | 2050 | — | volatile |
| 32 | Spain | 54.96 kt | 2050 | — | rising |
| 33 | Mali | 54.09 kt | 2050 | — | volatile |
| 34 | Cuba | 53.57 kt | 2050 | — | rising |
| 35 | Iraq | 53.05 kt | 2050 | — | rising |
| 36 | Mozambique | 52.71 kt | 2050 | — | volatile |
| 37 | China, Taiwan Province of | 45.92 kt | 2050 | — | falling |
| 38 | Sierra Leone | 42.68 kt | 2050 | — | rising |
| 39 | Afghanistan | 41.33 kt | 2050 | — | falling |
| 40 | Australia | 36 kt | 2050 | — | volatile |
| 40 | Australia and New Zealand | 36 kt | 2050 | — | volatile |
| 42 | Guyana | 31.55 kt | 2050 | — | rising |
| 43 | Senegal | 22.61 kt | 2050 | — | volatile |
| 44 | Ghana | 22.17 kt | 2050 | — | volatile |
| 45 | Uganda | 21.31 kt | 2050 | — | volatile |
| 46 | Kazakhstan | 18.78 kt | 2050 | — | rising |
| 47 | Suriname | 16.78 kt | 2050 | — | rising |
| 48 | Portugal | 12.63 kt | 2050 | — | falling |
| 49 | Greece | 11.94 kt | 2050 | — | rising |
| 50 | Uzbekistan | 11.65 kt | 2050 | — | volatile |
| 51 | Haiti | 10.12 kt | 2050 | — | rising |
| 52 | Mauritania | 9.78 kt | 2050 | — | volatile |
| 53 | Turkmenistan | 9.62 kt | 2050 | — | falling |
| 54 | Paraguay | 9.52 kt | 2050 | — | volatile |
| 55 | France | 9.43 kt | 2050 | — | falling |
| 56 | Chad | 8.62 kt | 2050 | — | volatile |
| 57 | Malawi | 8.07 kt | 2050 | — | volatile |
| 58 | Guinea-Bissau | 8.03 kt | 2050 | — | rising |
| 59 | Ukraine | 7.92 kt | 2050 | — | falling |
| 60 | Mexico | 7.25 kt | 2050 | — | volatile |
| 61 | Gambia | 7.01 kt | 2050 | — | volatile |
| 62 | Cameroon | 6.7 kt | 2050 | — | volatile |
| 63 | Chile | 5.62 kt | 2050 | — | falling |
| 64 | Liberia | 4.41 kt | 2050 | — | rising |
| 65 | South Sudan | 4.24 kt | 2023 | up 75.0% | rising |
| 66 | Burundi | 4.22 kt | 2050 | — | volatile |
| 67 | Rwanda | 3.81 kt | 2050 | — | volatile |
| 68 | Benin | 3.78 kt | 2050 | — | volatile |
| 69 | Tajikistan | 3.72 kt | 2050 | — | flat |
| 70 | Central African Republic | 3.26 kt | 2050 | — | volatile |
| 71 | Angola | 3.17 kt | 2050 | — | volatile |
| 72 | Bhutan | 3.01 kt | 2050 | — | falling |
| 73 | Niger | 2.9 kt | 2050 | — | rising |
| 74 | French Guiana | 2.66 kt | 2050 | — | volatile |
| 75 | Morocco | 2.46 kt | 2050 | — | rising |
| 76 | Yugoslav SFR | 2.43 kt | 1991 | down 1.1% | rising |
| 77 | Nicaragua | 2.32 kt | 2023 | up 10.7% | rising |
| 78 | Kenya | 2.18 kt | 2050 | — | volatile |
| 79 | Costa Rica | 2.07 kt | 2050 | — | falling |
| 80 | Zambia | 1.93 kt | 2050 | — | volatile |
| 81 | Panama | 1.67 kt | 2050 | — | falling |
| 82 | Romania | 1.59 kt | 2050 | — | volatile |
| 83 | Bulgaria | 1.46 kt | 2050 | — | falling |
| 84 | Kyrgyzstan | 1.32 kt | 2050 | — | rising |
| 85 | Ethiopia | 1.05 kt | 2050 | — | volatile |
| 86 | Comoros | 1.01 kt | 2050 | — | volatile |
| 87 | Togo | 0.968 kt | 2050 | — | volatile |
| 88 | Sudan (former) | 0.9408 kt | 2011 | up 9.1% | volatile |
| 89 | North Macedonia | 0.9164 kt | 2050 | — | falling |
| 90 | Somalia | 0.728 kt | 2050 | — | volatile |
| 91 | Hungary | 0.7179 kt | 2050 | — | volatile |
| 92 | Sudan | 0.6975 kt | 2023 | down 34.1% | falling |
| 93 | Fiji | 0.684 kt | 2050 | — | falling |
| 94 | Azerbaijan | 0.4207 kt | 2050 | — | rising |
| 95 | Trinidad and Tobago | 0.3941 kt | 2050 | — | volatile |
| 96 | Honduras | 0.3302 kt | 2050 | — | falling |
| 97 | Guatemala | 0.3246 kt | 2050 | — | falling |
| 98 | South Africa | 0.2883 kt | 2050 | — | falling |
| 99 | Brunei Darussalam | 0.2039 kt | 2050 | — | volatile |
| 100 | El Salvador | 0.1979 kt | 2050 | — | volatile |
| 101 | Solomon Islands | 0.1908 kt | 2050 | — | volatile |
| 102 | Algeria | 0.1588 kt | 2050 | — | volatile |
| 103 | Congo | 0.1104 kt | 2050 | — | volatile |
| 104 | Belize | 0.1094 kt | 2050 | — | rising |
| 105 | Zimbabwe | 0.1012 kt | 2050 | — | volatile |
| 106 | Papua New Guinea | 0.0808 kt | 2050 | — | falling |
| 107 | Gabon | 0.0448 kt | 2050 | — | rising |
| 108 | Réunion | 0.0154 kt | 2050 | — | volatile |
| 109 | Eswatini | 0.0113 kt | 2050 | — | volatile |
| 110 | Jamaica | 0.001 kt | 2050 | — | volatile |
| 111 | Albania | 0 kt | 1995 | down 100.0% | falling |
| 111 | Mauritius | 0 kt | 2050 | — | volatile |
| 111 | Puerto Rico | 0 kt | 2050 | — | volatile |
| 111 | Saudi Arabia | 0 kt | 2050 | — | volatile |
| 111 | China, Hong Kong SAR | 0 kt | 2050 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 23,465 kt
- Non-Annex I countries 22,306 kt
- Net Food Importing Developing Countries (NFIDCs) 5,613 kt
- Americas 1,539 kt
- Low Income Food Deficit Countries (LIFDCs) 1,294 kt
- Annex I countries 1,159 kt
- Land Locked Developing Countries (LLDCs) 542.63 kt
- Northern America 527.61 kt
- United States of America 527.61 kt
- European Union (27) 207.37 kt
- Western Europe 9.43 kt
About this data
The FAOSTAT domain on Emissions Totals summarizes the greenhouse gas (GHG) emissions disseminated in the FAOSTAT Climate Change domains of emissions from agrifood systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). Emissions from other economic sectors as defined by the IPCC are also disseminated in the domain for completeness. Methodological details can be found at: https://files-faostat.fao.org/production/GT/GT_en.pdf