Emission Totals - Direct 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
491.02
China
Lowest
0
Tonga
Median
1.22
Years covered
90
1961–2050
Data points
8,403

What the numbers show

Emission Totals - Direct emissions (N2O) - Synthetic Fertilizers is currently reported for 166 countries. The highest value is 491.02 in China; the lowest is 0 in Tonga.

The median across all reporting countries is 1.22, and the mean is 12.83.

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 50.0%).

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

#Country LatestYear 10-year changeTrend
1 China 491.02 2050 β€” volatile
2 India 435.07 2050 β€” volatile
3 United States 168.71 2050 β€” rising
4 Brazil 134.2 2050 β€” volatile
5 Pakistan 99.28 2050 β€” volatile
6 Indonesia 58.67 2050 β€” volatile
7 Canada 35.64 2050 β€” volatile
8 France 35.12 2050 β€” rising
9 Bangladesh 32.2 2050 β€” volatile
10 Mexico 31.13 2050 β€” rising
11 Iran 30.15 2050 β€” volatile
12 Egypt 28.73 2050 β€” rising
13 Argentina 28.01 2050 β€” volatile
14 Turkey 27.13 2050 β€” volatile
15 Germany 26.77 2050 β€” rising
16 Russia 25.21 2050 β€” rising
17 Thailand 24.83 2050 β€” volatile
18 Vietnam 21.31 2050 β€” volatile
19 Australia 20.39 2050 β€” volatile
20 Philippines 19.31 2050 β€” volatile
21 Poland 16.47 2050 β€” rising
22 United Kingdom 15.84 2050 β€” rising
23 Uzbekistan 15.31 2050 β€” rising
24 Spain 14.85 2050 β€” rising
25 Colombia 13.92 2050 β€” volatile
26 Italy 12.44 2050 β€” rising
27 South Africa 11.27 2050 β€” rising
28 Ukraine 10.8 2050 β€” rising
29 Iraq 10.57 2050 β€” volatile
30 Belarus 10.13 2050 β€” rising
31 Morocco 9.91 2050 β€” volatile
32 Malaysia 9.77 2050 β€” volatile
33 Nigeria 9.56 2050 β€” volatile
34 Ethiopia 7.35 2050 β€” volatile
35 Syria 7.21 2050 β€” volatile
36 Malawi 6.52 2050 β€” volatile
37 Serbia 6.38 2050 β€” rising
38 Peru 6.24 2050 β€” volatile
39 Chile 6.04 2050 β€” volatile
40 Japan 6.04 2050 β€” falling
41 Venezuela 5.65 2050 β€” volatile
42 Sri Lanka 5.14 2050 β€” volatile
43 Ireland 5.03 2050 β€” rising
44 Hungary 4.48 2050 β€” falling
45 South Korea 4.46 2050 β€” falling
46 Uruguay 4.44 2050 β€” volatile
47 Kenya 4.34 2050 β€” volatile
48 Romania 4.21 2050 β€” volatile
49 Netherlands 4.17 2050 β€” falling
50 Croatia 4.01 2050 β€” rising
51 Tanzania 3.99 2050 β€” volatile
52 Guatemala 3.91 2050 β€” volatile
53 Tunisia 3.8 2050 β€” volatile
54 Czechia 3.49 2050 β€” rising
55 Ecuador 3.43 2050 β€” volatile
56 Taiwan 3.32 2050 β€” rising
57 Mali 3.29 2050 β€” volatile
58 Paraguay 3.07 2050 β€” volatile
59 Denmark 2.9 2050 β€” falling
60 Bulgaria 2.77 2050 β€” falling
61 Finland 2.76 2050 β€” rising
62 Honduras 2.74 2050 β€” volatile
63 Sudan 2.65 2019 up 487.1% volatile
64 Greece 2.65 2050 β€” falling
65 Sweden 2.52 2050 β€” falling
66 El Salvador 2.45 2050 β€” rising
67 Myanmar 2.37 2050 β€” volatile
68 Norway 2.31 2050 β€” rising
69 Belgium 2.26 2050 β€” flat
70 Saudi Arabia 2.08 2050 β€” volatile
71 Lithuania 1.9 2050 β€” rising
72 Burkina Faso 1.87 2050 β€” volatile
73 Costa Rica 1.7 2050 β€” rising
74 Dominican Republic 1.57 2050 β€” rising
75 Portugal 1.56 2050 β€” flat
76 New Zealand 1.55 2050 β€” volatile
77 Nicaragua 1.54 2050 β€” volatile
78 Austria 1.45 2050 β€” falling
79 Cameroon 1.41 2050 β€” volatile
80 Slovakia 1.32 2050 β€” rising
81 Mozambique 1.28 2050 β€” volatile
82 Cuba 1.27 2050 β€” volatile
83 Afghanistan 1.24 2050 β€” volatile
84 Algeria 1.2 2050 β€” rising
85 Libya 1.2 2050 β€” volatile
86 Switzerland 1.14 2050 β€” rising
87 Yemen 1.01 2050 β€” volatile
88 Ghana 1 2050 β€” volatile
89 Cambodia 0.981 2050 β€” volatile
90 Cote d'Ivoire 0.9572 2050 β€” volatile
91 Armenia 0.9056 2050 β€” volatile
92 Israel 0.8469 2050 β€” rising
93 Senegal 0.8308 2050 β€” volatile
94 Kazakhstan 0.8182 2050 β€” volatile
95 Kyrgyzstan 0.7875 2050 β€” rising
96 Jordan 0.7704 2050 β€” volatile
97 Albania 0.7524 2050 β€” volatile
98 Niger 0.7219 2050 β€” volatile
99 Latvia 0.6772 2050 β€” rising
100 Angola 0.6666 2050 β€” volatile
101 Georgia 0.6101 2050 β€” rising
102 Panama 0.5791 2050 β€” rising
103 Madagascar 0.5789 2050 β€” volatile
104 Bolivia 0.5776 2050 β€” volatile
105 Azerbaijan 0.5218 2050 β€” volatile
106 Bosnia and Herzegovina 0.4676 2050 β€” volatile
107 Slovenia 0.4539 2050 β€” falling
108 North Macedonia 0.4108 2050 β€” falling
109 Uganda 0.358 2050 β€” volatile
110 Estonia 0.3489 2050 β€” rising
111 Moldova 0.3401 2050 β€” volatile
112 Botswana 0.3325 2019 up 55.2% volatile
113 United Arab Emirates 0.3213 2050 β€” volatile
114 Lebanon 0.3103 2050 β€” rising
115 Papua New Guinea 0.2981 2050 β€” volatile
116 Guinea 0.28 2050 β€” volatile
117 Iceland 0.2641 2050 β€” flat
118 Tajikistan 0.2458 2050 β€” volatile
119 Nepal 0.2347 2050 β€” volatile
120 Rwanda 0.2292 2050 β€” volatile
121 Guyana 0.2184 2050 β€” rising
122 Luxembourg 0.2143 2050 β€” flat
123 Democratic Republic of Congo 0.1814 2050 β€” volatile
124 Mongolia 0.154 2050 β€” volatile
125 Singapore 0.1449 2050 β€” volatile
126 Suriname 0.1328 2050 β€” volatile
127 Mauritius 0.1301 2019 up 19.0% falling
128 Burundi 0.1245 2050 β€” volatile
129 Fiji 0.1184 2050 β€” falling
130 Gambia 0.1146 2050 β€” volatile
131 Trinidad and Tobago 0.111 2050 β€” rising
132 Cyprus 0.1042 2050 β€” falling
133 Jamaica 0.0989 2050 β€” falling
134 Belize 0.0911 2050 β€” volatile
135 Namibia 0.0887 2050 β€” volatile
136 Oman 0.0801 2050 β€” volatile
137 Bhutan 0.0424 2050 β€” volatile
138 Montenegro 0.0356 2050 β€” rising
139 Eritrea 0.033 2050 β€” volatile
140 Gabon 0.0238 2050 β€” volatile
141 Bahrain 0.0224 2050 β€” volatile
141 Barbados 0.0224 2050 β€” volatile
143 Benin 0.021 2050 β€” volatile
144 Central African Republic 0.0188 2050 β€” volatile
145 New Caledonia 0.0176 2050 β€” volatile
146 Hong Kong 0.0151 2050 β€” volatile
147 Togo 0.0124 2050 β€” volatile
148 Malta 0.0107 2050 β€” volatile
149 Bahamas 0.0104 2019 down 4.6% volatile
150 Kuwait 0.0101 2050 β€” volatile
150 Qatar 0.0101 2050 β€” volatile
152 French Polynesia 0.0076 2050 β€” rising
153 Dominica 0.0074 2050 β€” volatile
154 Brunei 0.0041 2050 β€” volatile
155 Congo 0.0036 2050 β€” volatile
156 Maldives 0.0033 2050 β€” volatile
157 Saint Lucia 0.0028 2019 up 100.0% volatile
158 Seychelles 0.0014 2050 β€” volatile
159 Macao 0.0007 2050 β€” volatile
160 Saint Kitts and Nevis 0.0006 2050 β€” volatile
161 Bermuda 0.0004 2019 down 50.0% falling
161 Cook Islands 0.0004 2050 β€” rising
163 Samoa 0.0003 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 - Direct 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).