Emission Totals - Emissions (CH4) - Burning - Crop residues 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
185
Highest
154.19
China
Lowest
0
Samoa
Median
0.6734
Years covered
90
1961–2050
Data points
10,039

What the numbers show

Emission Totals - Emissions (CH4) - Burning - Crop residues is currently reported for 185 countries. The highest value is 154.19 in China; the lowest is 0 in Samoa.

The median across all reporting countries is 0.6734, and the mean is 5.39.

Over the past decade 1 countries rose and 3 fell. The largest increase was in Sudan (up 32.4%), and the largest decrease in Saint Lucia (down 100.0%).

Emission Totals - Emissions (CH4) - Burning - Crop residues: full country ranking

#Country LatestYear 10-year changeTrend
1 China 154.19 2050 β€” rising
2 United States 126.44 2050 β€” rising
3 India 104.7 2050 β€” rising
4 Brazil 63.74 2050 β€” rising
5 Indonesia 36.48 2050 β€” rising
6 Nigeria 22.47 2050 β€” volatile
7 Russia 21.21 2050 β€” rising
8 Mexico 21.02 2050 β€” flat
9 Argentina 20.9 2050 β€” rising
10 Bangladesh 18.21 2050 β€” rising
11 Australia 17.82 2050 β€” rising
12 Myanmar 17.57 2050 β€” rising
13 Vietnam 16.85 2050 β€” rising
14 Thailand 16.66 2050 β€” rising
15 Canada 14.51 2050 β€” rising
16 Philippines 14.33 2050 β€” rising
17 South Africa 13.16 2050 β€” falling
18 Pakistan 13.13 2050 β€” rising
19 Ethiopia 12.97 2050 β€” rising
20 Ukraine 10.9 2050 β€” rising
21 Tanzania 9.97 2050 β€” volatile
22 Kazakhstan 9.74 2050 β€” falling
23 France 9.6 2050 β€” rising
24 Turkey 8.75 2050 β€” falling
25 Democratic Republic of Congo 8.4 2050 β€” volatile
26 Romania 8.4 2050 β€” falling
27 Iran 8.06 2050 β€” rising
28 Cambodia 7.59 2050 β€” rising
29 Mozambique 7.02 2050 β€” volatile
30 Kenya 6.95 2050 β€” rising
31 Nepal 6.82 2050 β€” rising
32 Egypt 6.49 2050 β€” rising
33 Peru 5.88 2050 β€” rising
34 Colombia 5.81 2050 β€” rising
35 Italy 5.27 2050 β€” falling
36 Malawi 5.02 2050 β€” rising
37 Ghana 4.5 2050 β€” volatile
38 Germany 4.38 2050 β€” rising
39 Morocco 4.19 2050 β€” rising
40 Hungary 4.09 2050 β€” falling
41 Madagascar 4.06 2050 β€” rising
42 Venezuela 3.94 2050 β€” rising
43 Angola 3.93 2050 β€” volatile
44 Serbia 3.83 2050 β€” flat
45 Guinea 3.63 2050 β€” volatile
46 North Korea 3.54 2050 β€” falling
47 Syria 3.49 2050 β€” rising
48 Afghanistan 3.49 2050 β€” falling
49 Benin 3.4 2050 β€” rising
50 Uganda 3.38 2050 β€” volatile
51 Spain 3.25 2050 β€” falling
52 Mali 3.16 2050 β€” volatile
53 Poland 3.1 2050 β€” rising
54 Cote d'Ivoire 3.05 2050 β€” rising
55 Iraq 2.84 2050 β€” rising
56 Ecuador 2.8 2050 β€” rising
57 Cameroon 2.47 2050 β€” volatile
58 Paraguay 2.4 2050 β€” volatile
59 Algeria 2.37 2050 β€” falling
60 Burkina Faso 2.35 2050 β€” volatile
61 Laos 2.27 2050 β€” rising
62 Bolivia 2.2 2050 β€” rising
63 Guatemala 2.16 2050 β€” rising
64 Japan 2.04 2050 β€” falling
65 United Kingdom 2 2050 β€” rising
66 Cuba 1.94 2050 β€” falling
67 Bulgaria 1.86 2050 β€” falling
68 Moldova 1.84 2050 β€” rising
69 Togo 1.5 2050 β€” volatile
70 Nicaragua 1.49 2050 β€” rising
71 Greece 1.48 2050 β€” falling
72 El Salvador 1.42 2050 β€” rising
73 Honduras 1.36 2050 β€” rising
74 Sri Lanka 1.29 2050 β€” rising
74 Uzbekistan 1.29 2050 β€” falling
76 Malaysia 1.25 2050 β€” rising
77 Sierra Leone 1.22 2050 β€” rising
78 Uruguay 1.22 2050 β€” falling
79 Chile 1.16 2050 β€” falling
80 South Korea 1.13 2050 β€” falling
81 Czechia 1.12 2050 β€” rising
82 Chad 1.09 2050 β€” volatile
83 Croatia 0.999 2050 β€” falling
84 Senegal 0.9906 2050 β€” volatile
85 Haiti 0.9087 2050 β€” rising
86 Central African Republic 0.8611 2050 β€” rising
87 Turkmenistan 0.7832 2050 β€” rising
88 Austria 0.7795 2050 β€” rising
89 Slovakia 0.7733 2050 β€” rising
90 Tunisia 0.7698 2050 β€” falling
91 Denmark 0.7398 2050 β€” volatile
92 Rwanda 0.7254 2050 β€” volatile
93 Dominican Republic 0.6734 2050 β€” rising
94 Bosnia and Herzegovina 0.6205 2050 β€” rising
95 Liberia 0.6164 2050 β€” rising
96 Kyrgyzstan 0.5727 2050 β€” flat
97 Georgia 0.5655 2050 β€” falling
98 Saudi Arabia 0.5376 2050 β€” volatile
99 Azerbaijan 0.5369 2050 β€” rising
100 Taiwan 0.5357 2050 β€” falling
101 Sudan 0.5356 2019 up 32.4% rising
102 Belarus 0.513 2050 β€” volatile
103 Burundi 0.4764 2050 β€” rising
104 Somalia 0.4444 2050 β€” falling
105 Yemen 0.4203 2050 β€” rising
106 Portugal 0.4023 2050 β€” volatile
107 Lithuania 0.3927 2050 β€” rising
108 Sweden 0.388 2050 β€” rising
109 Tajikistan 0.3858 2050 β€” rising
110 Panama 0.38 2050 β€” falling
111 Eswatini 0.3733 2050 β€” rising
112 Lesotho 0.3704 2050 β€” falling
113 East Timor 0.3692 2050 β€” rising
114 Belgium 0.3575 2050 β€” flat
115 Niger 0.3035 2050 β€” volatile
116 Guyana 0.2885 2050 β€” rising
117 Guinea-Bissau 0.286 2050 β€” rising
118 Costa Rica 0.2708 2050 β€” falling
119 Mauritius 0.2442 2050 β€” falling
120 South Sudan 0.227 2019 down 70.6% volatile
121 Latvia 0.2262 2050 β€” rising
122 Finland 0.2199 2050 β€” flat
123 Albania 0.2081 2050 β€” falling
124 Netherlands 0.2002 2050 β€” rising
125 North Macedonia 0.1915 2050 β€” falling
126 Mauritania 0.1896 2050 β€” volatile
127 Gambia 0.1696 2050 β€” volatile
128 Bhutan 0.1585 2050 β€” falling
129 Eritrea 0.1557 2050 β€” rising
130 Switzerland 0.1438 2050 β€” rising
131 Slovenia 0.1358 2050 β€” falling
132 Fiji 0.1311 2050 β€” flat
133 Libya 0.1282 2050 β€” falling
134 Congo 0.1255 2050 β€” rising
135 Belize 0.1185 2050 β€” rising
136 Botswana 0.1176 2050 β€” volatile
137 Armenia 0.1168 2050 β€” flat
138 New Zealand 0.1143 2050 β€” falling
139 Gabon 0.1041 2050 β€” volatile
140 Estonia 0.0995 2050 β€” rising
141 Mongolia 0.0991 2050 β€” falling
142 Namibia 0.099 2050 β€” rising
143 Ireland 0.0963 2050 β€” rising
144 Cape Verde 0.0959 2050 β€” rising
145 Suriname 0.0957 2050 β€” rising
146 Israel 0.0949 2050 β€” falling
147 Norway 0.0856 2050 β€” volatile
148 Jamaica 0.0744 2050 β€” falling
149 Lebanon 0.0699 2050 β€” falling
150 Comoros 0.0469 2050 β€” rising
151 Trinidad and Tobago 0.0402 2050 β€” volatile
152 Jordan 0.0331 2050 β€” volatile
153 Papua New Guinea 0.0221 2050 β€” volatile
154 Palestine 0.0193 2050 β€” falling
155 Barbados 0.0157 2050 β€” falling
156 Luxembourg 0.0141 2050 β€” rising
157 Oman 0.0081 2050 β€” volatile
158 Cyprus 0.0058 2050 β€” volatile
159 Bahamas 0.0054 2050 β€” rising
160 Montenegro 0.005 2050 β€” volatile
161 Sao Tome and Principe 0.0046 2050 β€” volatile
162 Vanuatu 0.0038 2050 β€” rising
163 New Caledonia 0.0036 2050 β€” volatile
164 Malta 0.0028 2050 β€” rising
165 Kuwait 0.0025 2050 β€” volatile
166 Saint Kitts and Nevis 0.0021 2050 β€” falling
167 Saint Vincent and the Grenadines 0.002 2050 β€” volatile
168 Brunei 0.0014 2050 β€” volatile
168 Grenada 0.0014 2050 β€” falling
170 Solomon Islands 0.0012 2050 β€” volatile
171 Puerto Rico 0.0011 2050 β€” volatile
172 Dominica 0.001 2050 β€” rising
173 United Arab Emirates 0.0003 2050 β€” volatile
173 Micronesia (country) 0.0003 2050 β€” rising
173 Qatar 0.0003 2050 β€” volatile
176 American Samoa 0.0001 2050 β€” volatile
176 Antigua and Barbuda 0.0001 2050 β€” volatile
176 Maldives 0.0001 2050 β€” volatile
176 French Polynesia 0.0001 2050 β€” volatile
180 Guam 0 2050 β€” volatile
180 Hong Kong 0 2050 β€” volatile
180 Saint Lucia 0 1980 down 100.0% volatile
180 Singapore 0 1992 down 100.0% volatile
180 United States Virgin Islands 0 1992 β€” volatile
180 Samoa 0 2050 β€” flat

About this data

Indicator
Emission Totals - Emissions (CH4) - Burning - Crop residues
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
186 places, 10,039 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).