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...

Countries reporting
118
Highest
4,895
China
Lowest
0
Saudi Arabia
Median
9.7
Years covered
90
1961–2050
Data points
6,718

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 LatestYear 10-year changeTrend
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

Indicator
Emission Totals - Emissions (CH4) - Rice Cultivation
Source
FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
118 places, 6,718 data points, 1961–2050
Last refreshed

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 1961–2019 with projections for 2030 and 2050 for some categories of emissions or 1990–2019 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).