Emission Totals - Indirect 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
159.58
China
Lowest
0
Tonga
Median
0.3977
Years covered
90
1961–2050
Data points
8,403

What the numbers show

Emission Totals - Indirect emissions (N2O) - Synthetic Fertilizers is currently reported for 166 countries. The highest value is 159.58 in China; the lowest is 0 in Tonga.

The median across all reporting countries is 0.3977, and the mean is 4.17.

Over the past decade 4 countries rose and 2 fell. The largest increase was in Sudan (up 487.0%), and the largest decrease in Bermuda (down 66.7%).

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

#Country LatestYear 10-year changeTrend
1 China 159.58 2050 β€” volatile
2 India 141.4 2050 β€” volatile
3 United States 54.83 2050 β€” rising
4 Brazil 43.61 2050 β€” volatile
5 Pakistan 32.27 2050 β€” volatile
6 Indonesia 19.07 2050 β€” volatile
7 Canada 11.58 2050 β€” volatile
8 France 11.41 2050 β€” rising
9 Bangladesh 10.46 2050 β€” volatile
10 Mexico 10.12 2050 β€” rising
11 Iran 9.8 2050 β€” volatile
12 Egypt 9.34 2050 β€” rising
13 Argentina 9.1 2050 β€” volatile
14 Turkey 8.82 2050 β€” volatile
15 Germany 8.7 2050 β€” rising
16 Russia 8.19 2050 β€” rising
17 Thailand 8.07 2050 β€” volatile
18 Vietnam 6.93 2050 β€” volatile
19 Australia 6.63 2050 β€” volatile
20 Philippines 6.28 2050 β€” volatile
21 Poland 5.35 2050 β€” rising
22 United Kingdom 5.15 2050 β€” rising
23 Uzbekistan 4.97 2050 β€” rising
24 Spain 4.82 2050 β€” rising
25 Colombia 4.52 2050 β€” volatile
26 Italy 4.04 2050 β€” rising
27 South Africa 3.66 2050 β€” rising
28 Ukraine 3.51 2050 β€” rising
29 Iraq 3.43 2050 β€” volatile
30 Belarus 3.29 2050 β€” rising
31 Morocco 3.22 2050 β€” volatile
32 Malaysia 3.18 2050 β€” volatile
33 Nigeria 3.11 2050 β€” volatile
34 Ethiopia 2.39 2050 β€” volatile
35 Syria 2.34 2050 β€” volatile
36 Malawi 2.12 2050 β€” volatile
37 Serbia 2.07 2050 β€” rising
38 Peru 2.03 2050 β€” volatile
39 Chile 1.96 2050 β€” volatile
40 Japan 1.96 2050 β€” falling
41 Venezuela 1.84 2050 β€” volatile
42 Sri Lanka 1.67 2050 β€” volatile
43 Ireland 1.63 2050 β€” rising
44 Hungary 1.46 2050 β€” falling
45 South Korea 1.45 2050 β€” falling
46 Uruguay 1.44 2050 β€” volatile
47 Kenya 1.41 2050 β€” volatile
48 Romania 1.37 2050 β€” volatile
49 Netherlands 1.35 2050 β€” falling
50 Croatia 1.3 2050 β€” rising
51 Tanzania 1.3 2050 β€” volatile
52 Guatemala 1.27 2050 β€” volatile
53 Tunisia 1.23 2050 β€” volatile
54 Czechia 1.13 2050 β€” rising
55 Ecuador 1.12 2050 β€” volatile
56 Taiwan 1.08 2050 β€” rising
57 Mali 1.07 2050 β€” volatile
58 Paraguay 0.9979 2050 β€” volatile
59 Denmark 0.9422 2050 β€” falling
60 Bulgaria 0.8997 2050 β€” falling
61 Finland 0.8964 2050 β€” rising
62 Honduras 0.891 2050 β€” volatile
63 Sudan 0.8611 2019 up 487.0% volatile
64 Greece 0.8596 2050 β€” falling
65 Sweden 0.8192 2050 β€” falling
66 El Salvador 0.7947 2050 β€” rising
67 Myanmar 0.7711 2050 β€” volatile
68 Norway 0.7518 2050 β€” rising
69 Belgium 0.7329 2050 β€” flat
70 Saudi Arabia 0.6762 2050 β€” volatile
71 Lithuania 0.6166 2050 β€” rising
72 Burkina Faso 0.6061 2050 β€” volatile
73 Costa Rica 0.553 2050 β€” rising
74 Dominican Republic 0.5098 2050 β€” rising
75 Portugal 0.5078 2050 β€” flat
76 New Zealand 0.504 2050 β€” volatile
77 Nicaragua 0.5011 2050 β€” volatile
78 Austria 0.4719 2050 β€” falling
79 Cameroon 0.4598 2050 β€” volatile
80 Slovakia 0.4279 2050 β€” rising
81 Mozambique 0.4175 2050 β€” volatile
82 Cuba 0.4135 2050 β€” volatile
83 Afghanistan 0.4046 2050 β€” volatile
84 Algeria 0.3907 2050 β€” rising
85 Libya 0.3895 2050 β€” volatile
86 Switzerland 0.3701 2050 β€” rising
87 Yemen 0.3276 2050 β€” volatile
88 Ghana 0.326 2050 β€” volatile
89 Cambodia 0.3188 2050 β€” volatile
90 Cote d'Ivoire 0.3111 2050 β€” volatile
91 Armenia 0.2943 2050 β€” volatile
92 Israel 0.2753 2050 β€” rising
93 Senegal 0.27 2050 β€” volatile
94 Kazakhstan 0.2659 2050 β€” volatile
95 Kyrgyzstan 0.2559 2050 β€” rising
96 Jordan 0.2504 2050 β€” volatile
97 Albania 0.2445 2050 β€” volatile
98 Niger 0.2346 2050 β€” volatile
99 Latvia 0.2201 2050 β€” rising
100 Angola 0.2166 2050 β€” volatile
101 Georgia 0.1983 2050 β€” rising
102 Panama 0.1882 2050 β€” rising
103 Madagascar 0.1881 2050 β€” volatile
104 Bolivia 0.1877 2050 β€” volatile
105 Azerbaijan 0.1696 2050 β€” volatile
106 Bosnia and Herzegovina 0.152 2050 β€” volatile
107 Slovenia 0.1475 2050 β€” falling
108 North Macedonia 0.1335 2050 β€” falling
109 Uganda 0.1163 2050 β€” volatile
110 Estonia 0.1134 2050 β€” rising
111 Moldova 0.1105 2050 β€” volatile
112 Botswana 0.108 2019 up 55.2% volatile
113 United Arab Emirates 0.1044 2050 β€” volatile
114 Lebanon 0.1008 2050 β€” rising
115 Papua New Guinea 0.0969 2050 β€” volatile
116 Guinea 0.091 2050 β€” volatile
117 Iceland 0.0858 2050 β€” flat
118 Tajikistan 0.0799 2050 β€” volatile
119 Nepal 0.0763 2050 β€” volatile
120 Rwanda 0.0745 2050 β€” volatile
121 Guyana 0.071 2050 β€” rising
122 Luxembourg 0.0697 2050 β€” flat
123 Democratic Republic of Congo 0.0589 2050 β€” volatile
124 Mongolia 0.0501 2050 β€” volatile
125 Singapore 0.0471 2050 β€” volatile
126 Suriname 0.0432 2050 β€” volatile
127 Mauritius 0.0423 2019 up 19.2% falling
128 Burundi 0.0405 2050 β€” volatile
129 Fiji 0.0385 2050 β€” falling
130 Gambia 0.0373 2050 β€” volatile
131 Trinidad and Tobago 0.0361 2050 β€” rising
132 Cyprus 0.0339 2050 β€” falling
133 Jamaica 0.0321 2050 β€” falling
134 Belize 0.0296 2050 β€” volatile
135 Namibia 0.0288 2050 β€” volatile
136 Oman 0.026 2050 β€” volatile
137 Bhutan 0.0138 2050 β€” volatile
138 Montenegro 0.0116 2050 β€” rising
139 Eritrea 0.0107 2050 β€” volatile
140 Gabon 0.0077 2050 β€” volatile
141 Bahrain 0.0073 2050 β€” volatile
141 Barbados 0.0073 2050 β€” volatile
143 Benin 0.0068 2050 β€” volatile
144 Central African Republic 0.0061 2050 β€” volatile
145 New Caledonia 0.0057 2050 β€” volatile
146 Hong Kong 0.0049 2050 β€” volatile
147 Togo 0.004 2050 β€” volatile
148 Malta 0.0035 2050 β€” volatile
149 Bahamas 0.0034 2019 down 5.6% volatile
150 Kuwait 0.0033 2050 β€” volatile
150 Qatar 0.0033 2050 β€” volatile
152 French Polynesia 0.0025 2050 β€” rising
153 Dominica 0.0024 2050 β€” volatile
154 Brunei 0.0013 2050 β€” volatile
155 Congo 0.0012 2050 β€” volatile
156 Maldives 0.0011 2050 β€” volatile
157 Saint Lucia 0.0009 2019 up 80.0% volatile
158 Seychelles 0.0005 2050 β€” volatile
159 Saint Kitts and Nevis 0.0002 2050 β€” volatile
159 Macao 0.0002 2050 β€” volatile
161 Antigua and Barbuda 0.0001 2050 β€” volatile
161 Bermuda 0.0001 2019 down 66.7% falling
161 Samoa 0.0001 2050 β€” volatile
161 Cook Islands 0.0001 2050 β€” volatile
165 Nauru 0 2019 β€” flat
165 Tonga 0 2050 β€” volatile

About this data

Indicator
Emission Totals - Indirect 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).