Emission Totals - Emissions (N2O) - Manure applied to Soils 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
193
Highest
165.62
China
Lowest
0.0008
Nauru
Median
0.8716
Years covered
90
1961–2050
Data points
10,721

What the numbers show

Emission Totals - Emissions (N2O) - Manure applied to Soils is currently reported for 193 countries. The highest value is 165.62 in China; the lowest is 0.0008 in Nauru.

The median across all reporting countries is 0.8716, and the mean is 4.07.

Emission Totals - Emissions (N2O) - Manure applied to Soils: full country ranking

#Country LatestYear 10-year changeTrend
1 China 165.62 2050 β€” rising
2 India 70.02 2050 β€” rising
3 United States 64.85 2050 β€” rising
4 Brazil 46.34 2050 β€” rising
5 Russia 31.32 2050 β€” falling
6 Indonesia 23.37 2050 β€” volatile
7 Pakistan 20.3 2050 β€” volatile
8 France 18.36 2050 β€” falling
9 Germany 15.41 2050 β€” falling
10 Mexico 13.78 2050 β€” rising
11 Vietnam 12.35 2050 β€” volatile
12 Iran 11.62 2050 β€” rising
13 Myanmar 11.01 2050 β€” volatile
14 Spain 10.67 2050 β€” rising
15 United Kingdom 10.5 2050 β€” falling
16 Colombia 9.81 2050 β€” rising
17 Ukraine 9.11 2050 β€” falling
18 Poland 8.77 2050 β€” falling
19 Italy 8.37 2050 β€” falling
20 Bangladesh 8.25 2050 β€” rising
21 Philippines 7.4 2050 β€” rising
22 Mozambique 6.9 2050 β€” volatile
23 Canada 6.86 2050 β€” rising
24 Nigeria 5.94 2050 β€” volatile
25 Netherlands 5.83 2050 β€” rising
26 Thailand 5.58 2050 β€” rising
27 Argentina 5.24 2050 β€” rising
28 Romania 5.04 2050 β€” falling
29 Ireland 4.87 2050 β€” rising
30 Uzbekistan 4.78 2050 β€” rising
31 Uganda 4.57 2050 β€” volatile
32 Venezuela 4.49 2050 β€” rising
33 Kazakhstan 4.36 2050 β€” flat
34 Belarus 4.18 2050 β€” falling
35 Australia 4.07 2050 β€” rising
36 Japan 3.98 2050 β€” rising
37 Peru 3.84 2050 β€” rising
38 Denmark 3.7 2050 β€” falling
39 South Korea 3.23 2050 β€” volatile
40 Ecuador 3.14 2050 β€” rising
41 Belgium 3.12 2050 β€” falling
42 Guatemala 3.11 2050 β€” volatile
43 Chile 3.11 2050 β€” rising
44 Burkina Faso 3.1 2050 β€” volatile
45 Afghanistan 3.01 2050 β€” rising
46 Mongolia 2.74 2050 β€” rising
47 Turkey 2.73 2050 β€” rising
48 Nepal 2.6 2050 β€” rising
49 Dominican Republic 2.54 2050 β€” volatile
50 Bolivia 2.46 2050 β€” volatile
51 Malaysia 2.38 2050 β€” rising
52 Cambodia 2.25 2050 β€” rising
53 Laos 2.22 2050 β€” volatile
54 Ethiopia 2.2 2050 β€” rising
55 Turkmenistan 2.2 2050 β€” rising
56 Tanzania 2.15 2050 β€” rising
57 Austria 2.09 2050 β€” falling
58 Serbia 2.03 2050 β€” rising
59 Sudan 1.96 2019 up 7.2% rising
60 Hungary 1.86 2050 β€” falling
61 Switzerland 1.85 2050 β€” falling
62 Kenya 1.8 2050 β€” rising
63 Cuba 1.77 2050 β€” rising
64 Portugal 1.72 2050 β€” rising
65 South Africa 1.71 2050 β€” rising
66 Czechia 1.69 2050 β€” falling
67 Nicaragua 1.53 2050 β€” rising
68 Angola 1.52 2050 β€” volatile
69 New Zealand 1.52 2050 β€” rising
70 Taiwan 1.51 2050 β€” rising
71 Madagascar 1.5 2050 β€” rising
72 Sweden 1.45 2050 β€” falling
73 Cameroon 1.37 2050 β€” rising
74 Greece 1.36 2050 β€” falling
75 Norway 1.24 2050 β€” falling
76 South Sudan 1.23 2019 up 9.8% rising
77 Honduras 1.22 2050 β€” rising
78 North Korea 1.19 2050 β€” rising
79 Democratic Republic of Congo 1.18 2050 β€” rising
80 Morocco 1.14 2050 β€” rising
81 Paraguay 1.06 2050 β€” rising
82 Mali 1.03 2050 β€” volatile
83 Tajikistan 1.03 2050 β€” rising
84 Chad 1.03 2050 β€” volatile
85 Bulgaria 1.03 2050 β€” falling
86 Uruguay 1.01 2050 β€” rising
87 Finland 1.01 2050 β€” falling
88 Costa Rica 1 2050 β€” rising
89 Haiti 0.9837 2050 β€” rising
90 Lithuania 0.9699 2050 β€” falling
91 Egypt 0.956 2050 β€” rising
92 Albania 0.954 2050 β€” rising
93 Kyrgyzstan 0.95 2050 β€” rising
94 Ghana 0.9405 2050 β€” volatile
95 El Salvador 0.91 2050 β€” rising
96 Somalia 0.8842 2050 β€” rising
97 Bosnia and Herzegovina 0.8716 2050 β€” rising
98 Croatia 0.8711 2050 β€” falling
99 Algeria 0.8614 2050 β€” rising
100 Moldova 0.8268 2050 β€” falling
101 Niger 0.8132 2050 β€” rising
102 Cote d'Ivoire 0.799 2050 β€” volatile
103 Rwanda 0.7651 2050 β€” volatile
104 Senegal 0.7534 2050 β€” volatile
105 Slovakia 0.7263 2050 β€” falling
106 Togo 0.7145 2050 β€” volatile
107 Iraq 0.7096 2050 β€” rising
108 Papua New Guinea 0.6846 2050 β€” rising
109 Benin 0.6635 2050 β€” rising
110 Central African Republic 0.6569 2050 β€” volatile
111 Saudi Arabia 0.6194 2050 β€” volatile
112 Yemen 0.5619 2050 β€” rising
113 Sri Lanka 0.539 2050 β€” falling
114 Malawi 0.5353 2050 β€” volatile
115 Tunisia 0.4961 2050 β€” volatile
116 Panama 0.4849 2050 β€” rising
117 Azerbaijan 0.4434 2050 β€” rising
118 Slovenia 0.4328 2050 β€” falling
119 Latvia 0.4291 2050 β€” falling
120 Syria 0.3995 2050 β€” volatile
121 Guinea 0.3722 2050 β€” volatile
122 North Macedonia 0.342 2050 β€” falling
123 Mauritania 0.327 2050 β€” rising
124 Georgia 0.3252 2050 β€” falling
125 Kuwait 0.3086 2050 β€” volatile
126 Israel 0.2959 2050 β€” rising
127 Estonia 0.2774 2050 β€” falling
128 Puerto Rico 0.2653 2050 β€” falling
129 Brunei 0.2382 2050 β€” volatile
130 Trinidad and Tobago 0.2333 2050 β€” volatile
131 Fiji 0.2292 2050 β€” volatile
132 Burundi 0.2266 2050 β€” volatile
133 Libya 0.2136 2050 β€” volatile
134 Guinea-Bissau 0.1955 2050 β€” rising
135 Namibia 0.194 2050 β€” rising
136 Eritrea 0.1781 2050 β€” rising
137 Liberia 0.1597 2050 β€” volatile
138 Botswana 0.1582 2050 β€” rising
139 East Timor 0.1569 2050 β€” rising
140 Jordan 0.1557 2050 β€” volatile
141 Jamaica 0.1508 2050 β€” rising
142 Cape Verde 0.1485 2050 β€” volatile
143 Cyprus 0.1441 2050 β€” rising
144 Lebanon 0.1386 2050 β€” volatile
145 Montenegro 0.1384 2050 β€” rising
146 Luxembourg 0.1376 2050 β€” falling
147 United Arab Emirates 0.1364 2050 β€” volatile
148 Guyana 0.1326 2050 β€” rising
149 Armenia 0.129 2050 β€” rising
150 Lesotho 0.111 2050 β€” rising
151 Suriname 0.1088 2050 β€” rising
152 Gabon 0.107 2050 β€” rising
153 Iceland 0.0964 2050 β€” falling
154 Barbados 0.09 2050 β€” rising
155 Sierra Leone 0.0797 2050 β€” volatile
156 Samoa 0.077 2050 β€” rising
157 Bhutan 0.0727 2050 β€” rising
158 Eswatini 0.0679 2050 β€” rising
159 Congo 0.0668 2050 β€” volatile
160 Bahamas 0.0605 2050 β€” volatile
161 Vanuatu 0.0583 2050 β€” rising
162 Belize 0.0467 2050 β€” rising
163 Gambia 0.0407 2050 β€” rising
164 Malta 0.0404 2050 β€” rising
165 New Caledonia 0.0394 2050 β€” rising
166 Tonga 0.0353 2050 β€” rising
167 Palestine 0.0352 2050 β€” rising
168 Oman 0.0349 2050 β€” volatile
169 Mauritius 0.0343 2050 β€” volatile
170 Singapore 0.0269 2050 β€” volatile
171 Solomon Islands 0.0259 2050 β€” rising
172 French Polynesia 0.021 2050 β€” rising
173 Saint Lucia 0.0208 2050 β€” rising
174 Qatar 0.0199 2050 β€” volatile
175 Kiribati 0.0194 2050 β€” volatile
176 Dominica 0.0158 2050 β€” rising
177 Micronesia (country) 0.0157 2050 β€” rising
178 Antigua and Barbuda 0.0141 2050 β€” rising
179 Macao 0.0131 2050 β€” volatile
180 Sao Tome and Principe 0.0126 2050 β€” volatile
181 Saint Vincent and the Grenadines 0.0105 2050 β€” rising
182 Cook Islands 0.0101 2050 β€” rising
183 Seychelles 0.0082 2050 β€” volatile
184 Grenada 0.0076 2050 β€” rising
185 Saint Kitts and Nevis 0.0072 2050 β€” rising
186 Comoros 0.0068 2050 β€” rising
187 Tuvalu 0.0055 2050 β€” volatile
188 Faroe Islands 0.0051 2050 β€” falling
189 Equatorial Guinea 0.0042 2050 β€” rising
190 Hong Kong 0.004 2050 β€” volatile
191 Bahrain 0.0034 2050 β€” volatile
192 Niue 0.0011 2050 β€” rising
193 Nauru 0.0008 2050 β€” rising

About this data

Indicator
Emission Totals - Emissions (N2O) - Manure applied to Soils
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
194 places, 10,721 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).