Emission Totals - Indirect emissions (N2O) - 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
20.7
United States
Lowest
0
Saint Vincent and the Grenadines
Median
0.1102
Years covered
90
1961–2050
Data points
10,084

What the numbers show

Emission Totals - Indirect emissions (N2O) - Crop Residues is currently reported for 185 countries. The highest value is 20.7 in United States; the lowest is 0 in Saint Vincent and the Grenadines.

The median across all reporting countries is 0.1102, and the mean is 0.7568.

Over the past decade 1 countries rose and 1 fell. The largest increase was in Sudan (up 77.4%), and the largest decrease in South Sudan (down 33.0%).

Emission Totals - Indirect emissions (N2O) - Crop Residues: full country ranking

#Country LatestYear 10-year changeTrend
1 United States 20.7 2050 β€” rising
2 China 18.8 2050 β€” rising
3 India 15.62 2050 β€” rising
4 Brazil 9.01 2050 β€” volatile
5 Argentina 5.76 2050 β€” volatile
6 Russia 4.94 2050 β€” rising
7 Indonesia 3.58 2050 β€” rising
8 Canada 2.92 2050 β€” rising
9 France 2.81 2050 β€” rising
10 Nigeria 2.62 2050 β€” volatile
11 Bangladesh 2.62 2050 β€” rising
12 Australia 2.55 2050 β€” rising
13 Myanmar 2.53 2050 β€” rising
14 Pakistan 1.98 2050 β€” rising
15 Germany 1.94 2050 β€” rising
16 Ukraine 1.92 2050 β€” rising
17 Vietnam 1.89 2050 β€” rising
18 Mexico 1.75 2050 β€” rising
19 Turkey 1.72 2050 β€” rising
20 Thailand 1.45 2050 β€” rising
21 Philippines 1.43 2050 β€” rising
22 Ethiopia 1.37 2050 β€” rising
23 Iran 1.34 2050 β€” rising
24 Egypt 1.2 2050 β€” rising
25 United Kingdom 1.01 2050 β€” rising
26 Italy 0.927 2050 β€” rising
27 Spain 0.898 2050 β€” rising
28 Poland 0.8896 2050 β€” falling
29 Cambodia 0.8836 2050 β€” volatile
30 Kazakhstan 0.8607 2050 β€” rising
31 Nepal 0.7853 2050 β€” rising
32 Tanzania 0.7582 2050 β€” volatile
33 South Africa 0.7468 2050 β€” rising
34 Romania 0.689 2050 β€” rising
35 Paraguay 0.6344 2050 β€” volatile
36 Niger 0.57 2050 β€” volatile
37 Hungary 0.5679 2050 β€” rising
38 Syria 0.5377 2050 β€” rising
39 Madagascar 0.4503 2050 β€” rising
40 Morocco 0.4441 2050 β€” rising
41 Afghanistan 0.4362 2050 β€” rising
42 Sudan 0.4356 2019 up 77.4% rising
43 North Korea 0.4297 2050 β€” rising
44 Uganda 0.4214 2050 β€” volatile
45 Burkina Faso 0.4137 2050 β€” volatile
46 Colombia 0.4113 2050 β€” rising
47 Denmark 0.4109 2050 β€” rising
48 Mali 0.4025 2050 β€” volatile
49 Iraq 0.3911 2050 β€” rising
50 Bolivia 0.3892 2050 β€” volatile
51 Peru 0.3808 2050 β€” rising
52 Kenya 0.377 2050 β€” rising
53 Uruguay 0.3685 2050 β€” volatile
54 Japan 0.3629 2050 β€” falling
55 Belarus 0.3596 2050 β€” flat
56 Serbia 0.3467 2050 β€” rising
57 Malawi 0.3426 2050 β€” volatile
58 Democratic Republic of Congo 0.335 2050 β€” volatile
59 Czechia 0.3319 2050 β€” rising
60 Laos 0.3021 2050 β€” rising
61 Algeria 0.2959 2050 β€” rising
62 Guinea 0.2883 2050 β€” volatile
63 Mozambique 0.2808 2050 β€” volatile
64 Uzbekistan 0.2736 2050 β€” rising
65 Venezuela 0.2667 2050 β€” volatile
66 Bulgaria 0.2506 2050 β€” rising
67 Chile 0.2204 2050 β€” rising
68 Greece 0.2183 2050 β€” rising
69 South Korea 0.2074 2050 β€” falling
70 Sweden 0.2063 2050 β€” rising
71 Cameroon 0.199 2050 β€” volatile
72 Ghana 0.1989 2050 β€” volatile
73 Austria 0.1986 2050 β€” rising
74 Ecuador 0.1826 2050 β€” rising
75 Chad 0.1797 2050 β€” volatile
76 Sri Lanka 0.1784 2050 β€” rising
77 Saudi Arabia 0.1771 2050 β€” volatile
78 Finland 0.1748 2050 β€” rising
79 Cote d'Ivoire 0.1744 2050 β€” rising
80 Senegal 0.1649 2050 β€” rising
81 Angola 0.163 2050 β€” volatile
82 Benin 0.1562 2050 β€” volatile
83 Malaysia 0.1487 2050 β€” rising
84 Slovakia 0.1453 2050 β€” rising
85 Belgium 0.1382 2050 β€” rising
86 Croatia 0.1326 2050 β€” rising
87 Tunisia 0.1317 2050 β€” rising
88 Guatemala 0.1246 2050 β€” rising
89 Rwanda 0.1223 2050 β€” volatile
90 Lithuania 0.1208 2050 β€” rising
91 Sierra Leone 0.12 2050 β€” rising
92 Moldova 0.118 2050 β€” rising
93 Netherlands 0.1102 2050 β€” rising
94 Turkmenistan 0.1077 2050 β€” rising
95 Azerbaijan 0.1063 2050 β€” rising
96 Togo 0.1011 2050 β€” volatile
97 Ireland 0.0921 2050 β€” rising
98 El Salvador 0.0909 2050 β€” rising
99 Kyrgyzstan 0.0857 2050 β€” rising
100 Yemen 0.0827 2050 β€” volatile
101 Nicaragua 0.0819 2050 β€” rising
102 Cuba 0.0696 2050 β€” rising
103 Latvia 0.0673 2050 β€” rising
104 Norway 0.0618 2050 β€” rising
105 Dominican Republic 0.0601 2050 β€” rising
106 Taiwan 0.0594 2050 β€” falling
107 Bosnia and Herzegovina 0.0577 2050 β€” rising
108 Liberia 0.0532 2050 β€” rising
109 Honduras 0.0527 2050 β€” rising
110 Burundi 0.0521 2050 β€” rising
111 Switzerland 0.05 2050 β€” rising
112 Somalia 0.0493 2050 β€” rising
113 Eritrea 0.0485 2050 β€” rising
113 Haiti 0.0485 2050 β€” rising
115 Portugal 0.0472 2050 β€” falling
116 Tajikistan 0.0462 2050 β€” rising
117 New Zealand 0.0459 2050 β€” rising
118 South Sudan 0.0368 2019 down 33.0% falling
119 Estonia 0.0363 2050 β€” rising
120 North Macedonia 0.0308 2050 β€” flat
121 Guyana 0.0297 2050 β€” rising
122 Panama 0.0285 2050 β€” rising
123 Georgia 0.0278 2050 β€” falling
124 Central African Republic 0.0271 2050 β€” rising
125 Guinea-Bissau 0.0269 2050 β€” rising
126 Albania 0.0261 2050 β€” falling
127 Armenia 0.0232 2050 β€” rising
127 Gambia 0.0232 2050 β€” volatile
129 Slovenia 0.0228 2050 β€” rising
130 Mauritania 0.0216 2050 β€” rising
131 Libya 0.021 2050 β€” rising
132 Israel 0.0191 2050 β€” rising
133 Lebanon 0.0181 2050 β€” rising
134 Bhutan 0.0167 2050 β€” rising
134 Costa Rica 0.0167 2050 β€” falling
136 Namibia 0.0157 2050 β€” rising
137 East Timor 0.012 2050 β€” volatile
138 Suriname 0.0109 2050 β€” rising
139 Lesotho 0.0101 2050 β€” falling
140 Botswana 0.0078 2050 β€” volatile
141 Mongolia 0.0069 2050 β€” falling
142 Luxembourg 0.0065 2050 β€” rising
143 Jordan 0.0055 2050 β€” volatile
144 Eswatini 0.0048 2050 β€” flat
145 Cyprus 0.0045 2050 β€” falling
146 Belize 0.0041 2050 β€” volatile
147 Palestine 0.004 2050 β€” rising
148 Comoros 0.0039 2050 β€” rising
149 Congo 0.0031 2050 β€” rising
149 Gabon 0.0031 2050 β€” volatile
151 Oman 0.0016 2050 β€” volatile
152 Cape Verde 0.001 2050 β€” volatile
152 Kuwait 0.001 2050 β€” volatile
154 Fiji 0.0009 2050 β€” falling
154 Montenegro 0.0009 2050 β€” volatile
156 Malta 0.0008 2050 β€” rising
157 Papua New Guinea 0.0007 2050 β€” volatile
158 Trinidad and Tobago 0.0005 2050 β€” falling
159 Jamaica 0.0003 2050 β€” volatile
159 New Caledonia 0.0003 2050 β€” volatile
159 Qatar 0.0003 2050 β€” volatile
159 Sao Tome and Principe 0.0003 2050 β€” volatile
163 Mauritius 0.0002 2050 β€” rising
163 Solomon Islands 0.0002 2050 β€” volatile
165 United Arab Emirates 0.0001 2050 β€” volatile
165 Brunei 0.0001 2050 β€” volatile
165 Iceland 0.0001 2050 β€” volatile
165 Puerto Rico 0.0001 2050 β€” volatile
165 Vanuatu 0.0001 2050 β€” volatile
170 Antigua and Barbuda 0 2050 β€” flat
170 Bahrain 0 2050 β€” flat
170 Bahamas 0 2050 β€” flat
170 Bermuda 0 2050 β€” flat
170 Barbados 0 2050 β€” volatile
170 Dominica 0 2050 β€” flat
170 Faroe Islands 0 2050 β€” flat
170 Micronesia (country) 0 2050 β€” flat
170 Grenada 0 2050 β€” flat
170 Guam 0 2050 β€” flat
170 Hong Kong 0 1990 β€” volatile
170 Saint Kitts and Nevis 0 2050 β€” flat
170 Saint Lucia 0 1979 β€” flat
170 Maldives 0 2050 β€” volatile
170 French Polynesia 0 2050 β€” flat
170 Saint Vincent and the Grenadines 0 2050 β€” volatile

About this data

Indicator
Emission Totals - Indirect emissions (N2O) - 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, 10,084 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).