Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 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
75.5
China
Lowest
0
Tuvalu
Median
0.6193
Years covered
90
1961–2050
Data points
10,721

What the numbers show

Emission Totals - Indirect emissions (N2O) - Manure left on Pasture is currently reported for 193 countries. The highest value is 75.5 in China; the lowest is 0 in Tuvalu.

The median across all reporting countries is 0.6193, and the mean is 3.79.

Emission Totals - Indirect emissions (N2O) - Manure left on Pasture: full country ranking

#Country LatestYear 10-year changeTrend
1 China 75.5 2050 β€” rising
2 Brazil 72.83 2050 β€” rising
3 India 68.88 2050 β€” rising
4 Australia 28.02 2050 β€” falling
5 United States 24.55 2050 β€” falling
6 Argentina 20.99 2050 β€” falling
7 Pakistan 20.96 2050 β€” rising
8 Ethiopia 20.69 2050 β€” rising
9 Nigeria 19.51 2050 β€” volatile
10 Sudan 17.81 2019 up 4.6% flat
11 Mexico 16.66 2050 β€” rising
12 Chad 13.52 2050 β€” volatile
13 Kenya 12.22 2050 β€” rising
14 Iran 12.01 2050 β€” rising
15 Tanzania 11.44 2050 β€” rising
16 Colombia 11.17 2050 β€” rising
17 Turkey 10.96 2050 β€” falling
18 Somalia 10.39 2050 β€” rising
19 New Zealand 9.92 2050 β€” falling
20 Mali 9.25 2050 β€” volatile
21 Indonesia 9.13 2050 β€” rising
22 Bangladesh 9.09 2050 β€” rising
23 South Africa 8.71 2050 β€” rising
24 Niger 8.66 2050 β€” rising
25 Burkina Faso 7.39 2050 β€” volatile
26 South Sudan 7 2019 up 10.6% rising
27 Venezuela 6.85 2050 β€” rising
28 Uganda 5.95 2050 β€” volatile
29 Paraguay 5.23 2050 β€” rising
30 Egypt 5.23 2050 β€” rising
31 Morocco 4.89 2050 β€” rising
32 Afghanistan 4.89 2050 β€” rising
33 Uruguay 4.87 2050 β€” flat
34 Madagascar 4.82 2050 β€” rising
35 Myanmar 4.58 2050 β€” rising
36 Algeria 4.41 2050 β€” rising
37 Peru 4.39 2050 β€” rising
38 Vietnam 4.24 2050 β€” rising
39 Syria 4.23 2050 β€” rising
40 Russia 4.11 2050 β€” falling
41 United Kingdom 3.97 2050 β€” rising
42 Canada 3.92 2050 β€” rising
43 Bolivia 3.91 2050 β€” rising
44 Senegal 3.89 2050 β€” rising
45 Mauritania 3.86 2050 β€” rising
46 Yemen 3.77 2050 β€” rising
47 Cameroon 3.49 2050 β€” rising
48 Mongolia 3.37 2050 β€” rising
49 Iraq 3.19 2050 β€” falling
50 Central African Republic 3.03 2050 β€” volatile
51 Angola 2.99 2050 β€” rising
52 Philippines 2.95 2050 β€” rising
53 France 2.93 2050 β€” falling
54 Spain 2.85 2050 β€” rising
55 Guinea 2.56 2050 β€” volatile
56 Kazakhstan 2.52 2050 β€” flat
57 Ecuador 2.51 2050 β€” rising
58 Nepal 2.5 2050 β€” rising
59 Chile 2.22 2050 β€” rising
60 Uzbekistan 2.19 2050 β€” rising
61 Azerbaijan 1.94 2050 β€” rising
62 Ghana 1.89 2050 β€” rising
63 Thailand 1.89 2050 β€” falling
64 Tunisia 1.86 2050 β€” rising
65 Cuba 1.78 2050 β€” falling
66 Mozambique 1.78 2050 β€” rising
67 Turkmenistan 1.75 2050 β€” rising
68 Nicaragua 1.72 2050 β€” rising
69 Germany 1.7 2050 β€” falling
70 Benin 1.67 2050 β€” volatile
71 Libya 1.56 2050 β€” rising
72 Democratic Republic of Congo 1.56 2050 β€” rising
73 Namibia 1.52 2050 β€” rising
74 Italy 1.48 2050 β€” falling
75 Dominican Republic 1.46 2050 β€” rising
76 Eritrea 1.46 2050 β€” rising
77 Saudi Arabia 1.4 2050 β€” rising
78 Guatemala 1.39 2050 β€” rising
79 Greece 1.38 2050 β€” falling
80 Botswana 1.37 2050 β€” rising
81 Cote d'Ivoire 1.2 2050 β€” rising
82 Ireland 1.19 2050 β€” rising
83 Malawi 1.09 2050 β€” volatile
84 Romania 1.03 2050 β€” falling
85 Haiti 1.01 2050 β€” rising
86 Japan 0.981 2050 β€” rising
87 North Korea 0.9593 2050 β€” volatile
88 Rwanda 0.9517 2050 β€” rising
89 Togo 0.9469 2050 β€” volatile
90 South Korea 0.9281 2050 β€” rising
91 Laos 0.913 2050 β€” rising
92 Cambodia 0.8536 2050 β€” rising
93 Ukraine 0.8321 2050 β€” volatile
94 Honduras 0.7924 2050 β€” rising
95 Georgia 0.684 2050 β€” rising
96 El Salvador 0.6267 2050 β€” rising
97 Kyrgyzstan 0.6193 2050 β€” rising
98 Panama 0.6179 2050 β€” rising
99 Malaysia 0.5869 2050 β€” rising
100 Netherlands 0.5851 2050 β€” rising
101 Tajikistan 0.546 2050 β€” rising
102 Lesotho 0.5388 2050 β€” rising
103 Burundi 0.5075 2050 β€” rising
104 Poland 0.499 2050 β€” falling
105 United Arab Emirates 0.4839 2050 β€” volatile
106 Sierra Leone 0.4498 2050 β€” volatile
107 Portugal 0.4372 2050 β€” falling
108 Jordan 0.425 2050 β€” rising
109 Albania 0.4183 2050 β€” rising
110 Costa Rica 0.406 2050 β€” falling
111 Armenia 0.3778 2050 β€” rising
112 Norway 0.3621 2050 β€” rising
113 Belarus 0.3462 2050 β€” falling
114 Israel 0.3364 2050 β€” rising
115 Serbia 0.3321 2050 β€” rising
116 Sri Lanka 0.316 2050 β€” falling
117 Guinea-Bissau 0.3098 2050 β€” rising
118 Eswatini 0.3059 2050 β€” rising
119 Belgium 0.291 2050 β€” falling
120 Kuwait 0.2888 2050 β€” volatile
121 Gambia 0.2798 2050 β€” rising
122 Bulgaria 0.2728 2050 β€” volatile
123 Oman 0.2727 2050 β€” volatile
124 Switzerland 0.2683 2050 β€” falling
125 Austria 0.2597 2050 β€” falling
126 Taiwan 0.2515 2050 β€” rising
127 Sweden 0.2237 2050 β€” falling
128 Fiji 0.1992 2050 β€” rising
129 Denmark 0.1915 2050 β€” falling
130 Lebanon 0.1892 2050 β€” rising
131 Congo 0.1866 2050 β€” volatile
132 Bosnia and Herzegovina 0.1825 2050 β€” rising
133 Jamaica 0.1808 2050 β€” rising
134 Hungary 0.1724 2050 β€” falling
135 Puerto Rico 0.1709 2050 β€” falling
136 North Macedonia 0.1665 2050 β€” falling
137 Palestine 0.1625 2050 β€” rising
138 Croatia 0.1516 2050 β€” rising
139 Moldova 0.1366 2050 β€” falling
140 Liberia 0.1282 2050 β€” rising
141 Finland 0.1241 2050 β€” falling
142 Lithuania 0.1106 2050 β€” falling
143 Czechia 0.1071 2050 β€” falling
144 East Timor 0.0888 2050 β€” rising
145 Vanuatu 0.0819 2050 β€” rising
146 Guyana 0.0791 2050 β€” falling
147 Cyprus 0.0752 2050 β€” rising
148 Iceland 0.0708 2050 β€” falling
149 Bhutan 0.0671 2050 β€” rising
150 Slovakia 0.064 2050 β€” falling
150 Slovenia 0.064 2050 β€” rising
152 Brunei 0.0594 2050 β€” volatile
153 Trinidad and Tobago 0.0589 2050 β€” rising
154 Gabon 0.0505 2050 β€” rising
155 Latvia 0.0503 2050 β€” falling
156 Papua New Guinea 0.0498 2050 β€” rising
157 New Caledonia 0.0497 2050 β€” falling
158 Montenegro 0.0412 2050 β€” rising
159 Mauritius 0.0409 2050 β€” rising
160 Qatar 0.0397 2050 β€” volatile
161 Comoros 0.0385 2050 β€” rising
162 Suriname 0.0374 2050 β€” rising
163 Belize 0.0337 2050 β€” rising
164 Estonia 0.0328 2050 β€” falling
165 Cape Verde 0.0284 2050 β€” rising
166 Barbados 0.0217 2050 β€” rising
167 Luxembourg 0.0209 2050 β€” falling
168 Samoa 0.0165 2050 β€” rising
169 Bahamas 0.0145 2050 β€” rising
170 Micronesia (country) 0.0112 2050 β€” rising
171 Antigua and Barbuda 0.0111 2050 β€” rising
172 Bahrain 0.0108 2050 β€” volatile
173 Tonga 0.0092 2050 β€” rising
174 Saint Lucia 0.0081 2050 β€” rising
175 Solomon Islands 0.0075 2050 β€” rising
176 Equatorial Guinea 0.007 2050 β€” rising
177 Faroe Islands 0.0069 2050 β€” flat
178 Dominica 0.0067 2050 β€” rising
179 Singapore 0.0066 2050 β€” falling
180 French Polynesia 0.0061 2050 β€” falling
181 Sao Tome and Principe 0.006 2050 β€” rising
182 Grenada 0.0047 2050 β€” flat
183 Seychelles 0.0046 2050 β€” rising
184 Saint Vincent and the Grenadines 0.0045 2050 β€” rising
185 Malta 0.0042 2050 β€” falling
186 Saint Kitts and Nevis 0.0041 2050 β€” falling
187 Macao 0.0032 2050 β€” volatile
188 Hong Kong 0.0011 2050 β€” volatile
189 Cook Islands 0.0002 2050 β€” volatile
190 Kiribati 0.0001 2050 β€” volatile
190 Niue 0.0001 2050 β€” volatile
192 Nauru 0 2050 β€” flat
192 Tuvalu 0 2050 β€” flat

About this data

Indicator
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture
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).