Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 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
196
Highest
303.29
China
Lowest
0
Guam
Median
1.85
Years covered
90
1961–2050
Data points
10,908

What the numbers show

Emission Totals - Indirect emissions (N2O) - IPCC Agriculture is currently reported for 196 countries. The highest value is 303.29 in China; the lowest is 0 in Guam.

The median across all reporting countries is 1.85, and the mean is 9.18.

Emission Totals - Indirect emissions (N2O) - IPCC Agriculture: full country ranking

#Country LatestYear 10-year changeTrend
1 China 303.29 2050 β€” rising
2 India 246.78 2050 β€” rising
3 Brazil 139.27 2050 β€” rising
4 United States 119.42 2050 β€” rising
5 Pakistan 61.26 2050 β€” volatile
6 Indonesia 38.75 2050 β€” volatile
7 Australia 38.41 2050 β€” flat
8 Argentina 37.41 2050 β€” rising
9 Mexico 32.65 2050 β€” rising
10 Nigeria 27 2050 β€” volatile
11 Iran 26.62 2050 β€” rising
12 Russia 26.58 2050 β€” falling
13 Ethiopia 25.11 2050 β€” rising
14 Bangladesh 24.63 2050 β€” volatile
15 France 22.63 2050 β€” rising
16 Turkey 22.31 2050 β€” rising
17 Canada 20.47 2050 β€” rising
18 Sudan 19.69 2019 up 9.6% rising
19 Colombia 19.02 2050 β€” rising
20 Germany 16.93 2050 β€” falling
21 Vietnam 16.73 2050 β€” volatile
22 Egypt 16.05 2050 β€” rising
23 Kenya 14.55 2050 β€” rising
24 Tanzania 14.14 2050 β€” rising
25 Chad 14.01 2050 β€” volatile
26 South Africa 13.63 2050 β€” rising
27 United Kingdom 13.26 2050 β€” rising
28 Thailand 13.08 2050 β€” rising
29 Philippines 12.86 2050 β€” rising
30 Spain 11.76 2050 β€” rising
31 Myanmar 11.17 2050 β€” rising
32 Mali 11.03 2050 β€” volatile
33 New Zealand 10.93 2050 β€” falling
34 Somalia 10.71 2050 β€” rising
35 Venezuela 10.29 2050 β€” rising
36 Niger 9.7 2050 β€” rising
37 Poland 9.36 2050 β€” falling
38 Burkina Faso 9.33 2050 β€” volatile
39 Ukraine 8.98 2050 β€” falling
40 Italy 8.94 2050 β€” falling
41 Morocco 8.9 2050 β€” rising
42 Uzbekistan 8.86 2050 β€” rising
43 Peru 7.94 2050 β€” rising
44 Uganda 7.86 2050 β€” volatile
45 South Sudan 7.41 2019 up 10.2% rising
46 Iraq 7.23 2050 β€” rising
47 Syria 7.23 2050 β€” volatile
48 Paraguay 7.18 2050 β€” rising
49 Uruguay 6.98 2050 β€” rising
50 Afghanistan 6.63 2050 β€” rising
51 Madagascar 5.9 2050 β€” rising
52 Algeria 5.36 2050 β€” rising
53 Chile 5.33 2050 β€” rising
54 Belarus 5.24 2050 β€” rising
55 Bolivia 5.22 2050 β€” rising
56 Kazakhstan 4.95 2050 β€” flat
57 Ecuador 4.74 2050 β€” rising
58 Malaysia 4.62 2050 β€” volatile
59 Romania 4.59 2050 β€” falling
60 Cameroon 4.56 2050 β€” rising
61 Senegal 4.55 2050 β€” rising
62 Mozambique 4.53 2050 β€” volatile
63 Japan 4.49 2050 β€” falling
64 Ireland 4.37 2050 β€” rising
65 Yemen 4.35 2050 β€” rising
66 Mongolia 4.25 2050 β€” rising
67 Nepal 4.14 2050 β€” rising
68 Mauritania 3.98 2050 β€” rising
69 Angola 3.82 2050 β€” rising
70 Netherlands 3.79 2050 β€” falling
71 Guatemala 3.72 2050 β€” rising
72 Malawi 3.71 2050 β€” volatile
73 South Korea 3.55 2050 β€” rising
74 Tunisia 3.38 2050 β€” rising
75 Serbia 3.36 2050 β€” rising
76 Central African Republic 3.26 2050 β€” volatile
77 Guinea 3.05 2050 β€” volatile
78 Greece 2.86 2050 β€” falling
79 Cuba 2.8 2050 β€” falling
80 Dominican Republic 2.79 2050 β€” rising
81 Nicaragua 2.76 2050 β€” rising
82 Hungary 2.75 2050 β€” falling
83 Cambodia 2.73 2050 β€” rising
84 Ghana 2.69 2050 β€” volatile
85 Denmark 2.65 2050 β€” falling
86 Turkmenistan 2.51 2050 β€” rising
87 Saudi Arabia 2.44 2050 β€” volatile
88 Azerbaijan 2.34 2050 β€” rising
89 Sri Lanka 2.33 2050 β€” rising
90 Democratic Republic of Congo 2.31 2050 β€” rising
91 Honduras 2.1 2050 β€” rising
92 Belgium 2.09 2050 β€” rising
93 Czechia 2.08 2050 β€” flat
94 Libya 2.03 2050 β€” rising
95 Benin 2.03 2050 β€” volatile
96 Cote d'Ivoire 1.93 2050 β€” rising
97 Laos 1.88 2050 β€” rising
98 Croatia 1.85 2050 β€” rising
99 Taiwan 1.84 2050 β€” volatile
100 El Salvador 1.78 2050 β€” rising
101 North Korea 1.75 2050 β€” rising
102 Bulgaria 1.73 2050 β€” falling
103 Sweden 1.68 2050 β€” falling
104 Namibia 1.62 2050 β€” rising
105 Eritrea 1.57 2050 β€” rising
106 Austria 1.55 2050 β€” falling
107 Norway 1.55 2050 β€” rising
108 Portugal 1.51 2050 β€” falling
109 Finland 1.5 2050 β€” falling
110 Botswana 1.42 2050 β€” rising
111 Rwanda 1.38 2050 β€” volatile
112 Haiti 1.35 2050 β€” rising
113 Costa Rica 1.27 2050 β€” rising
114 Togo 1.27 2050 β€” volatile
115 Kyrgyzstan 1.24 2050 β€” rising
116 Switzerland 1.24 2050 β€” falling
117 Lithuania 1.14 2050 β€” rising
118 Georgia 1.01 2050 β€” rising
119 Tajikistan 0.9802 2050 β€” rising
120 Panama 0.9793 2050 β€” rising
121 Albania 0.9734 2050 β€” rising
122 Slovakia 0.8538 2050 β€” flat
123 Armenia 0.7338 2050 β€” rising
124 Jordan 0.7273 2050 β€” rising
125 Israel 0.719 2050 β€” rising
126 Burundi 0.6676 2050 β€” rising
127 Bosnia and Herzegovina 0.6521 2050 β€” rising
128 United Arab Emirates 0.6291 2050 β€” volatile
129 Moldova 0.6117 2050 β€” falling
130 Sierra Leone 0.5935 2050 β€” volatile
131 Lesotho 0.582 2050 β€” rising
132 Latvia 0.4657 2050 β€” rising
133 North Macedonia 0.4328 2050 β€” falling
134 Guinea-Bissau 0.395 2050 β€” rising
135 Kuwait 0.385 2050 β€” volatile
136 Slovenia 0.3634 2050 β€” falling
137 Gambia 0.3524 2050 β€” rising
138 Papua New Guinea 0.3515 2050 β€” rising
139 Lebanon 0.3495 2050 β€” rising
140 Eswatini 0.3309 2050 β€” rising
141 Oman 0.3108 2050 β€” volatile
142 Fiji 0.307 2050 β€” rising
143 Estonia 0.2652 2050 β€” falling
144 Jamaica 0.2582 2050 β€” rising
145 Puerto Rico 0.2501 2050 β€” falling
146 Liberia 0.229 2050 β€” rising
147 Guyana 0.2193 2050 β€” rising
148 Congo 0.2108 2050 β€” volatile
149 Iceland 0.1854 2050 β€” falling
150 Palestine 0.177 2050 β€” rising
151 Trinidad and Tobago 0.165 2050 β€” rising
152 Cyprus 0.1565 2050 β€” rising
153 East Timor 0.1475 2050 β€” rising
154 Luxembourg 0.1381 2050 β€” rising
155 Brunei 0.1318 2050 β€” volatile
156 Suriname 0.1239 2050 β€” rising
157 Bhutan 0.1192 2050 β€” rising
158 Vanuatu 0.0994 2050 β€” rising
159 Montenegro 0.095 2050 β€” rising
160 Gabon 0.0931 2050 β€” rising
161 Belize 0.0813 2050 β€” volatile
162 Cape Verde 0.0737 2050 β€” rising
163 New Caledonia 0.0675 2050 β€” flat
164 Singapore 0.0618 2050 β€” falling
165 Barbados 0.0558 2050 β€” falling
166 Mauritius 0.0513 2050 β€” rising
167 Qatar 0.0493 2050 β€” volatile
168 Comoros 0.0444 2050 β€” rising
169 Samoa 0.0396 2050 β€” rising
170 Bahamas 0.0325 2050 β€” rising
171 Malta 0.0205 2050 β€” rising
172 Tonga 0.0197 2050 β€” rising
173 Bahrain 0.0191 2050 β€” volatile
174 Micronesia (country) 0.0159 2050 β€” rising
175 Solomon Islands 0.0154 2050 β€” rising
176 Antigua and Barbuda 0.0153 2050 β€” rising
177 French Polynesia 0.0148 2050 β€” rising
178 Saint Lucia 0.0143 2050 β€” volatile
179 Dominica 0.0139 2050 β€” rising
180 Sao Tome and Principe 0.01 2050 β€” volatile
181 Faroe Islands 0.0085 2050 β€” flat
182 Equatorial Guinea 0.0083 2050 β€” rising
183 Saint Vincent and the Grenadines 0.0077 2050 β€” rising
184 Seychelles 0.0075 2050 β€” rising
185 Macao 0.0073 2050 β€” volatile
186 Hong Kong 0.0072 2050 β€” falling
187 Grenada 0.007 2050 β€” rising
188 Saint Kitts and Nevis 0.0064 2050 β€” falling
189 Kiribati 0.0059 2050 β€” volatile
190 Cook Islands 0.0034 2050 β€” rising
191 Tuvalu 0.0016 2050 β€” rising
192 Maldives 0.0011 2050 β€” volatile
193 Niue 0.0004 2050 β€” falling
194 Nauru 0.0003 2050 β€” rising
195 Bermuda 0 2050 β€” volatile
195 Guam 0 2050 β€” flat

About this data

Indicator
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture
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
197 places, 10,908 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).