Emission Totals - Emissions (CO2eq) (AR5) - 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
137,062
China
Lowest
0
Saudi Arabia
Median
271.58
Years covered
90
1961–2050
Data points
6,718

What the numbers show

Emission Totals - Emissions (CO2eq) (AR5) - Rice Cultivation is currently reported for 118 countries. The highest value is 137,062 in China; the lowest is 0 in Saudi Arabia.

The median across all reporting countries is 271.58, and the mean is 5,579.

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 (CO2eq) (AR5) - Rice Cultivation: full country ranking

#Country LatestYear 10-year changeTrend
1 China 137,062 2050 β€” falling
2 India 100,647 2050 β€” rising
3 Indonesia 74,324 2050 β€” rising
4 Myanmar 43,660 2050 β€” rising
5 Philippines 40,521 2050 β€” rising
6 Vietnam 34,524 2050 β€” rising
7 Bangladesh 30,209 2050 β€” rising
8 Thailand 26,939 2050 β€” rising
9 Cambodia 18,975 2050 β€” rising
10 United States 14,773 2050 β€” rising
11 Nigeria 14,692 2050 β€” volatile
12 Pakistan 10,508 2050 β€” rising
13 Madagascar 8,024 2050 β€” rising
14 Egypt 7,840 2050 β€” rising
15 Japan 7,004 2050 β€” falling
16 Brazil 5,021 2050 β€” falling
17 Tanzania 4,555 2050 β€” volatile
18 Iran 4,405 2050 β€” rising
19 Nepal 4,392 2050 β€” rising
20 Colombia 4,340 2050 β€” rising
21 South Korea 4,219 2050 β€” falling
22 North Korea 3,876 2050 β€” rising
23 Malaysia 3,543 2050 β€” rising
24 Peru 3,320 2050 β€” volatile
25 Italy 3,210 2050 β€” rising
26 Guinea 3,052 2050 β€” volatile
27 Argentina 2,821 2050 β€” rising
28 Venezuela 2,361 2050 β€” rising
29 Ecuador 2,345 2050 β€” volatile
30 Burkina Faso 2,313 2050 β€” volatile
31 Laos 2,161 2050 β€” rising
32 Sri Lanka 2,061 2050 β€” rising
33 Russia 2,049 2050 β€” rising
34 Dominican Republic 1,834 2050 β€” rising
35 Uruguay 1,725 2050 β€” volatile
36 Spain 1,539 2050 β€” rising
37 Mali 1,514 2050 β€” volatile
38 Turkey 1,506 2050 β€” rising
39 Cuba 1,500 2050 β€” rising
40 Iraq 1,485 2050 β€” rising
41 Mozambique 1,476 2050 β€” volatile
42 Taiwan 1,286 2050 β€” falling
43 Sierra Leone 1,195 2050 β€” rising
44 Afghanistan 1,157 2050 β€” falling
45 Australia 1,008 2050 β€” volatile
46 Guyana 883.44 2050 β€” rising
47 Senegal 633.04 2050 β€” volatile
48 Cote d'Ivoire 620.93 2050 β€” rising
49 Ghana 620.71 2050 β€” volatile
50 Uganda 596.73 2050 β€” volatile
51 Kazakhstan 525.95 2050 β€” rising
52 Suriname 469.89 2050 β€” rising
53 Bolivia 450.3 2050 β€” volatile
54 Democratic Republic of Congo 411.15 2050 β€” volatile
55 Portugal 353.52 2050 β€” falling
56 Greece 334.31 2050 β€” rising
57 Uzbekistan 326.09 2050 β€” volatile
58 Haiti 283.32 2050 β€” rising
59 Mauritania 273.8 2050 β€” volatile
60 Turkmenistan 269.35 2050 β€” volatile
61 Paraguay 266.62 2050 β€” volatile
62 France 264.07 2050 β€” falling
63 Chad 241.34 2050 β€” volatile
64 East Timor 229.08 2050 β€” volatile
65 Malawi 225.88 2050 β€” volatile
66 Guinea-Bissau 224.97 2050 β€” rising
67 Ukraine 221.89 2050 β€” falling
68 Comoros 206.89 2050 β€” rising
69 Mexico 203.02 2050 β€” falling
70 Gambia 196.28 2050 β€” volatile
71 Cameroon 187.59 2050 β€” volatile
72 Chile 157.33 2050 β€” falling
73 Nicaragua 125.33 2050 β€” volatile
74 Liberia 123.44 2050 β€” rising
75 Burundi 118.06 2050 β€” volatile
76 Rwanda 106.56 2050 β€” volatile
77 Benin 105.74 2050 β€” volatile
78 Tajikistan 104.06 2050 β€” flat
79 Central African Republic 91.39 2050 β€” volatile
80 Angola 88.62 2050 β€” volatile
81 Bhutan 84.37 2050 β€” falling
82 Niger 81.32 2050 β€” rising
83 Morocco 68.85 2050 β€” rising
84 Kenya 61 2050 β€” volatile
85 Costa Rica 57.86 2050 β€” falling
86 Panama 46.69 2050 β€” falling
87 Sudan 45.24 2019 up 52.6% rising
88 Romania 44.58 2050 β€” volatile
89 Bulgaria 40.82 2050 β€” falling
90 Kyrgyzstan 36.86 2050 β€” rising
91 Ethiopia 29.42 2050 β€” volatile
92 Togo 27.1 2050 β€” volatile
93 North Macedonia 25.66 2050 β€” falling
94 Somalia 20.38 2050 β€” volatile
95 Hungary 20.1 2050 β€” volatile
96 Fiji 19.15 2050 β€” falling
97 Azerbaijan 11.78 2050 β€” flat
98 Trinidad and Tobago 11.03 2050 β€” falling
99 Honduras 9.25 2050 β€” falling
100 Guatemala 9.09 2050 β€” falling
101 South Africa 8.07 2050 β€” falling
102 El Salvador 5.54 2050 β€” volatile
103 Solomon Islands 5.34 2050 β€” volatile
104 Brunei 4.66 2050 β€” volatile
105 Algeria 4.45 2050 β€” volatile
106 Congo 3.09 2050 β€” volatile
107 Belize 3.06 2050 β€” rising
108 Papua New Guinea 2.26 2050 β€” falling
109 Gabon 1.25 2050 β€” rising
110 Micronesia (country) 0.6053 2050 β€” rising
111 Eswatini 0.3152 2050 β€” volatile
112 Syria 0.1568 1996 unchanged volatile
113 Jamaica 0.0283 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 (CO2eq) (AR5) - 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).