Rice Cultivation — Emissions (CO2eq) (AR5) 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 (CO2eq) (AR5) is currently reported for 115 countries. The highest value is 137,145 kt in China; the lowest is 0 kt in China, Hong Kong SAR.
The median across all reporting countries is 224.97 kt, and the mean is 6,650 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 (CO2eq): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 137,145 kt | 2050 | — | falling |
| 2 | China, mainland | 135,860 kt | 2050 | — | falling |
| 3 | India | 100,647 kt | 2050 | — | rising |
| 4 | Indonesia | 74,324 kt | 2050 | — | rising |
| 5 | Myanmar | 43,658 kt | 2050 | — | rising |
| 6 | Philippines | 40,521 kt | 2050 | — | rising |
| 7 | OECD | 34,592 kt | 2050 | — | falling |
| 8 | Bangladesh | 30,209 kt | 2050 | — | rising |
| 9 | Thailand | 26,939 kt | 2050 | — | rising |
| 10 | Cambodia | 18,975 kt | 2050 | — | rising |
| 11 | Nigeria | 14,692 kt | 2050 | — | volatile |
| 12 | Pakistan | 10,508 kt | 2050 | — | rising |
| 13 | Madagascar | 8,024 kt | 2050 | — | rising |
| 14 | Egypt | 7,840 kt | 2050 | — | rising |
| 15 | Japan | 7,004 kt | 2050 | — | falling |
| 16 | Brazil | 5,021 kt | 2050 | — | falling |
| 17 | USSR | 4,699 kt | 1991 | down 5.5% | rising |
| 18 | Nepal | 4,399 kt | 2050 | — | rising |
| 19 | Colombia | 4,340 kt | 2050 | — | rising |
| 20 | Republic of Korea | 4,219 kt | 2050 | — | falling |
| 21 | Malaysia | 3,543 kt | 2050 | — | rising |
| 22 | Peru | 3,320 kt | 2050 | — | volatile |
| 23 | Italy | 3,210 kt | 2050 | — | rising |
| 24 | Guinea | 3,052 kt | 2050 | — | volatile |
| 25 | Argentina | 2,821 kt | 2050 | — | rising |
| 26 | Ecuador | 2,345 kt | 2050 | — | rising |
| 27 | Burkina Faso | 2,313 kt | 2050 | — | volatile |
| 28 | Sri Lanka | 2,061 kt | 2050 | — | rising |
| 29 | Russian Federation | 2,049 kt | 2050 | — | rising |
| 30 | Dominican Republic | 1,834 kt | 2050 | — | rising |
| 31 | Uruguay | 1,725 kt | 2050 | — | volatile |
| 32 | Spain | 1,539 kt | 2050 | — | rising |
| 33 | Mali | 1,514 kt | 2050 | — | volatile |
| 34 | Cuba | 1,500 kt | 2050 | — | rising |
| 35 | Iraq | 1,485 kt | 2050 | — | rising |
| 36 | Mozambique | 1,476 kt | 2050 | — | volatile |
| 37 | China, Taiwan Province of | 1,286 kt | 2050 | — | falling |
| 38 | Sierra Leone | 1,195 kt | 2050 | — | rising |
| 39 | Afghanistan | 1,157 kt | 2050 | — | falling |
| 40 | Australia | 1,008 kt | 2050 | — | volatile |
| 40 | Australia and New Zealand | 1,008 kt | 2050 | — | volatile |
| 42 | Guyana | 883.44 kt | 2050 | — | rising |
| 43 | Senegal | 633.04 kt | 2050 | — | volatile |
| 44 | Ghana | 620.71 kt | 2050 | — | volatile |
| 45 | Uganda | 596.73 kt | 2050 | — | volatile |
| 46 | Kazakhstan | 525.95 kt | 2050 | — | rising |
| 47 | Suriname | 469.9 kt | 2050 | — | rising |
| 48 | Portugal | 353.52 kt | 2050 | — | falling |
| 49 | Greece | 334.31 kt | 2050 | — | rising |
| 50 | Uzbekistan | 326.09 kt | 2050 | — | volatile |
| 51 | Haiti | 283.32 kt | 2050 | — | rising |
| 52 | Mauritania | 273.8 kt | 2050 | — | volatile |
| 53 | Turkmenistan | 269.35 kt | 2050 | — | falling |
| 54 | Paraguay | 266.62 kt | 2050 | — | volatile |
| 55 | France | 264.07 kt | 2050 | — | falling |
| 56 | Chad | 241.34 kt | 2050 | — | volatile |
| 57 | Malawi | 225.88 kt | 2050 | — | volatile |
| 58 | Guinea-Bissau | 224.97 kt | 2050 | — | rising |
| 59 | Ukraine | 221.89 kt | 2050 | — | falling |
| 60 | Mexico | 203.02 kt | 2050 | — | volatile |
| 61 | Gambia | 196.28 kt | 2050 | — | volatile |
| 62 | Cameroon | 187.59 kt | 2050 | — | volatile |
| 63 | Chile | 157.33 kt | 2050 | — | falling |
| 64 | Liberia | 123.44 kt | 2050 | — | rising |
| 65 | South Sudan | 118.66 kt | 2023 | up 75.0% | rising |
| 66 | Burundi | 118.06 kt | 2050 | — | volatile |
| 67 | Rwanda | 106.56 kt | 2050 | — | volatile |
| 68 | Benin | 105.74 kt | 2050 | — | volatile |
| 69 | Tajikistan | 104.06 kt | 2050 | — | flat |
| 70 | Central African Republic | 91.39 kt | 2050 | — | volatile |
| 71 | Angola | 88.62 kt | 2050 | — | volatile |
| 72 | Bhutan | 84.37 kt | 2050 | — | falling |
| 73 | Niger | 81.32 kt | 2050 | — | rising |
| 74 | French Guiana | 74.51 kt | 2050 | — | volatile |
| 75 | Morocco | 68.85 kt | 2050 | — | rising |
| 76 | Yugoslav SFR | 68.15 kt | 1991 | down 1.1% | rising |
| 77 | Nicaragua | 64.95 kt | 2023 | up 10.7% | rising |
| 78 | Kenya | 61 kt | 2050 | — | volatile |
| 79 | Costa Rica | 57.86 kt | 2050 | — | falling |
| 80 | Zambia | 54 kt | 2050 | — | volatile |
| 81 | Panama | 46.7 kt | 2050 | — | falling |
| 82 | Romania | 44.58 kt | 2050 | — | volatile |
| 83 | Bulgaria | 40.82 kt | 2050 | — | falling |
| 84 | Kyrgyzstan | 36.86 kt | 2050 | — | rising |
| 85 | Ethiopia | 29.42 kt | 2050 | — | volatile |
| 86 | Comoros | 28.24 kt | 2050 | — | volatile |
| 87 | Togo | 27.1 kt | 2050 | — | volatile |
| 88 | Sudan (former) | 26.34 kt | 2011 | up 9.1% | volatile |
| 89 | North Macedonia | 25.66 kt | 2050 | — | falling |
| 90 | Somalia | 20.38 kt | 2050 | — | volatile |
| 91 | Hungary | 20.1 kt | 2050 | — | volatile |
| 92 | Sudan | 19.53 kt | 2023 | down 34.1% | falling |
| 93 | Fiji | 19.15 kt | 2050 | — | falling |
| 94 | Azerbaijan | 11.78 kt | 2050 | — | rising |
| 95 | Trinidad and Tobago | 11.03 kt | 2050 | — | volatile |
| 96 | Honduras | 9.25 kt | 2050 | — | falling |
| 97 | Guatemala | 9.09 kt | 2050 | — | falling |
| 98 | South Africa | 8.07 kt | 2050 | — | falling |
| 99 | Brunei Darussalam | 5.71 kt | 2050 | — | volatile |
| 100 | El Salvador | 5.54 kt | 2050 | — | volatile |
| 101 | Solomon Islands | 5.34 kt | 2050 | — | volatile |
| 102 | Algeria | 4.45 kt | 2050 | — | volatile |
| 103 | Congo | 3.09 kt | 2050 | — | volatile |
| 104 | Belize | 3.06 kt | 2050 | — | rising |
| 105 | Zimbabwe | 2.83 kt | 2050 | — | volatile |
| 106 | Papua New Guinea | 2.26 kt | 2050 | — | falling |
| 107 | Gabon | 1.25 kt | 2050 | — | rising |
| 108 | Réunion | 0.4312 kt | 2050 | — | volatile |
| 109 | Eswatini | 0.3164 kt | 2050 | — | volatile |
| 110 | Jamaica | 0.028 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 657,010 kt
- Asia 554,858 kt
- Non-Annex I countries 624,567 kt
- South-Eastern Asia 244,878 kt
- Net Food Importing Developing Countries (NFIDCs) 157,169 kt
- Southern Asia 153,470 kt
- Eastern Asia 152,244 kt
- Americas 43,095 kt
- Low Income Food Deficit Countries (LIFDCs) 36,226 kt
- Africa 49,919 kt
- Annex I countries 32,443 kt
- Land Locked Developing Countries (LLDCs) 15,194 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