Emission Totals - Emissions (N2O) - Synthetic Fertilizers 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
166
Highest
650.61
China
Lowest
0
Tonga
Median
1.62
Years covered
90
1961–2050
Data points
8,403

What the numbers show

Emission Totals - Emissions (N2O) - Synthetic Fertilizers is currently reported for 166 countries. The highest value is 650.61 in China; the lowest is 0 in Tonga.

The median across all reporting countries is 1.62, and the mean is 17.

Over the past decade 4 countries rose and 2 fell. The largest increase was in Sudan (up 487.1%), and the largest decrease in Bermuda (down 54.5%).

Emission Totals - Emissions (N2O) - Synthetic Fertilizers: full country ranking

#Country LatestYear 10-year changeTrend
1 China 650.61 2050 β€” volatile
2 India 576.47 2050 β€” volatile
3 United States 223.54 2050 β€” rising
4 Brazil 177.81 2050 β€” volatile
5 Pakistan 131.54 2050 β€” volatile
6 Indonesia 77.73 2050 β€” volatile
7 Canada 47.22 2050 β€” volatile
8 France 46.53 2050 β€” rising
9 Bangladesh 42.66 2050 β€” volatile
10 Mexico 41.25 2050 β€” rising
11 Iran 39.95 2050 β€” volatile
12 Egypt 38.07 2050 β€” rising
13 Argentina 37.11 2050 β€” volatile
14 Turkey 35.94 2050 β€” volatile
15 Germany 35.47 2050 β€” rising
16 Russia 33.4 2050 β€” rising
17 Thailand 32.9 2050 β€” volatile
18 Vietnam 28.24 2050 β€” volatile
19 Australia 27.02 2050 β€” volatile
20 Philippines 25.59 2050 β€” volatile
21 Poland 21.83 2050 β€” rising
22 United Kingdom 20.99 2050 β€” rising
23 Uzbekistan 20.28 2050 β€” rising
24 Spain 19.67 2050 β€” rising
25 Colombia 18.44 2050 β€” volatile
26 Italy 16.48 2050 β€” rising
27 South Africa 14.93 2050 β€” rising
28 Ukraine 14.31 2050 β€” rising
29 Iraq 14 2050 β€” volatile
30 Belarus 13.42 2050 β€” rising
31 Morocco 13.12 2050 β€” volatile
32 Malaysia 12.95 2050 β€” volatile
33 Nigeria 12.67 2050 β€” volatile
34 Ethiopia 9.74 2050 β€” volatile
35 Syria 9.55 2050 β€” volatile
36 Malawi 8.64 2050 β€” volatile
37 Serbia 8.45 2050 β€” rising
38 Peru 8.27 2050 β€” volatile
39 Chile 8 2050 β€” volatile
40 Japan 8 2050 β€” falling
41 Venezuela 7.49 2050 β€” volatile
42 Sri Lanka 6.81 2050 β€” volatile
43 Ireland 6.67 2050 β€” rising
44 Hungary 5.94 2050 β€” falling
45 South Korea 5.91 2050 β€” falling
46 Uruguay 5.88 2050 β€” volatile
47 Kenya 5.75 2050 β€” volatile
48 Romania 5.58 2050 β€” volatile
49 Netherlands 5.52 2050 β€” falling
50 Croatia 5.32 2050 β€” rising
51 Tanzania 5.29 2050 β€” volatile
52 Guatemala 5.17 2050 β€” volatile
53 Tunisia 5.03 2050 β€” volatile
54 Czechia 4.62 2050 β€” rising
55 Ecuador 4.55 2050 β€” volatile
56 Taiwan 4.4 2050 β€” rising
57 Mali 4.36 2050 β€” volatile
58 Paraguay 4.07 2050 β€” volatile
59 Denmark 3.84 2050 β€” falling
60 Bulgaria 3.67 2050 β€” falling
61 Finland 3.65 2050 β€” rising
62 Honduras 3.63 2050 β€” volatile
63 Sudan 3.51 2019 up 487.1% volatile
64 Greece 3.5 2050 β€” falling
65 Sweden 3.34 2050 β€” falling
66 El Salvador 3.24 2050 β€” rising
67 Myanmar 3.14 2050 β€” volatile
68 Norway 3.07 2050 β€” rising
69 Belgium 2.99 2050 β€” flat
70 Saudi Arabia 2.76 2050 β€” volatile
71 Lithuania 2.51 2050 β€” rising
72 Burkina Faso 2.47 2050 β€” volatile
73 Costa Rica 2.25 2050 β€” rising
74 Dominican Republic 2.08 2050 β€” rising
75 Portugal 2.07 2050 β€” flat
76 New Zealand 2.05 2050 β€” volatile
77 Nicaragua 2.04 2050 β€” volatile
78 Austria 1.92 2050 β€” falling
79 Cameroon 1.87 2050 β€” volatile
80 Slovakia 1.74 2050 β€” rising
81 Mozambique 1.7 2050 β€” volatile
82 Cuba 1.69 2050 β€” volatile
83 Afghanistan 1.65 2050 β€” volatile
84 Algeria 1.59 2050 β€” rising
85 Libya 1.59 2050 β€” volatile
86 Switzerland 1.51 2050 β€” rising
87 Yemen 1.34 2050 β€” volatile
88 Ghana 1.33 2050 β€” volatile
89 Cambodia 1.3 2050 β€” volatile
90 Cote d'Ivoire 1.27 2050 β€” volatile
91 Armenia 1.2 2050 β€” volatile
92 Israel 1.12 2050 β€” rising
93 Senegal 1.1 2050 β€” volatile
94 Kazakhstan 1.08 2050 β€” volatile
95 Kyrgyzstan 1.04 2050 β€” rising
96 Jordan 1.02 2050 β€” volatile
97 Albania 0.997 2050 β€” volatile
98 Niger 0.9565 2050 β€” volatile
99 Latvia 0.8973 2050 β€” rising
100 Angola 0.8832 2050 β€” volatile
101 Georgia 0.8084 2050 β€” rising
102 Panama 0.7673 2050 β€” rising
103 Madagascar 0.767 2050 β€” volatile
104 Bolivia 0.7654 2050 β€” volatile
105 Azerbaijan 0.6914 2050 β€” volatile
106 Bosnia and Herzegovina 0.6196 2050 β€” volatile
107 Slovenia 0.6014 2050 β€” falling
108 North Macedonia 0.5443 2050 β€” falling
109 Uganda 0.4743 2050 β€” volatile
110 Estonia 0.4623 2050 β€” rising
111 Moldova 0.4506 2050 β€” volatile
112 Botswana 0.4405 2019 up 55.2% volatile
113 United Arab Emirates 0.4257 2050 β€” volatile
114 Lebanon 0.4111 2050 β€” rising
115 Papua New Guinea 0.3949 2050 β€” volatile
116 Guinea 0.3709 2050 β€” volatile
117 Iceland 0.3499 2050 β€” flat
118 Tajikistan 0.3257 2050 β€” volatile
119 Nepal 0.3109 2050 β€” volatile
120 Rwanda 0.3037 2050 β€” volatile
121 Guyana 0.2893 2050 β€” rising
122 Luxembourg 0.284 2050 β€” flat
123 Democratic Republic of Congo 0.2403 2050 β€” volatile
124 Mongolia 0.2041 2050 β€” volatile
125 Singapore 0.192 2050 β€” volatile
126 Suriname 0.1759 2050 β€” volatile
127 Mauritius 0.1724 2019 up 19.1% falling
128 Burundi 0.1649 2050 β€” volatile
129 Fiji 0.1569 2050 β€” falling
130 Gambia 0.1519 2050 β€” volatile
131 Trinidad and Tobago 0.1471 2050 β€” rising
132 Cyprus 0.138 2050 β€” falling
133 Jamaica 0.131 2050 β€” falling
134 Belize 0.1206 2050 β€” volatile
135 Namibia 0.1175 2050 β€” volatile
136 Oman 0.1061 2050 β€” volatile
137 Bhutan 0.0562 2050 β€” volatile
138 Montenegro 0.0472 2050 β€” rising
139 Eritrea 0.0438 2050 β€” volatile
140 Gabon 0.0315 2050 β€” volatile
141 Bahrain 0.0296 2050 β€” volatile
141 Barbados 0.0296 2050 β€” volatile
143 Benin 0.0278 2050 β€” volatile
144 Central African Republic 0.0249 2050 β€” volatile
145 New Caledonia 0.0233 2050 β€” volatile
146 Hong Kong 0.02 2050 β€” volatile
147 Togo 0.0164 2050 β€” volatile
148 Malta 0.0142 2050 β€” volatile
149 Bahamas 0.0138 2019 down 4.8% volatile
150 Kuwait 0.0133 2050 β€” volatile
150 Qatar 0.0133 2050 β€” volatile
152 French Polynesia 0.01 2050 β€” rising
153 Dominica 0.0098 2050 β€” volatile
154 Brunei 0.0054 2050 β€” volatile
155 Congo 0.0047 2050 β€” volatile
156 Maldives 0.0043 2050 β€” volatile
157 Saint Lucia 0.0038 2019 up 100.0% volatile
158 Seychelles 0.0019 2050 β€” volatile
159 Macao 0.0009 2050 β€” volatile
160 Saint Kitts and Nevis 0.0008 2050 β€” volatile
161 Bermuda 0.0005 2019 down 54.5% falling
161 Cook Islands 0.0005 2050 β€” rising
163 Samoa 0.0004 2050 β€” volatile
164 Antigua and Barbuda 0.0002 2050 β€” volatile
165 Nauru 0 2019 β€” flat
165 Tonga 0 2050 β€” volatile

About this data

Indicator
Emission Totals - Emissions (N2O) - Synthetic Fertilizers
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
166 places, 8,403 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).