Statizoid

Emission Totals - Emissions (N2O) - Savanna fires 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
208
Highest
54.56
Australia
Lowest
0
Niue
Median
0.0072
Years covered
30
1990–2019
Data points
6,119

What the numbers show

Emission Totals - Emissions (N2O) - Savanna fires is currently reported for 208 countries. The highest value is 54.56 in Australia; the lowest is 0 in Niue.

The median across all reporting countries is 0.0072, and the mean is 1.62.

Over the past decade 56 countries rose and 78 fell. The largest increase was in Syria (up 34,682.4%), and the largest decrease in Brunei (down 100.0%).

Emission Totals - Emissions (N2O) - Savanna fires: full country ranking

#Country LatestYear 10-year changeTrend
1 Australia 54.56 2019 down 17.1% falling
2 Angola 45.99 2019 up 3.8% rising
3 Democratic Republic of Congo 38.1 2019 down 5.1% rising
4 Mozambique 21.37 2019 down 4.0% flat
5 Brazil 21.17 2019 up 129.4% rising
6 South Sudan 21.02 2019 down 40.5% falling
7 Central African Republic 14.25 2019 down 16.8% falling
8 Tanzania 12.15 2019 down 30.0% falling
9 Russia 8.74 2019 up 35.0% rising
10 Kazakhstan 6.73 2019 up 68.5% volatile
11 Chad 5.48 2019 down 24.2% falling
12 Mali 5.23 2019 down 13.0% falling
13 Guinea 4.72 2019 down 8.0% rising
14 Ghana 4.63 2019 down 14.3% falling
15 Sudan 4.52 2019 down 38.8% falling
16 Bolivia 4.48 2019 up 95.5% flat
17 Ethiopia 4.31 2019 down 35.0% falling
18 Venezuela 4.07 2019 up 33.5% rising
19 Congo 4.06 2019 up 18.3% rising
20 Madagascar 3.92 2019 down 22.5% falling
21 Senegal 3.85 2019 up 0.4% falling
22 Nigeria 3.74 2019 down 26.8% falling
23 Paraguay 2.99 2019 up 47.7% rising
24 South Africa 2.71 2019 down 39.6% falling
25 Argentina 2.53 2019 down 25.5% falling
26 Iraq 2.24 2019 up 5,197.6% volatile
27 Colombia 2.12 2019 down 9.9% rising
28 Cambodia 1.85 2019 down 13.9% falling
29 United States 1.78 2019 down 24.9% rising
30 Mexico 1.75 2019 up 17.1% flat
31 Indonesia 1.72 2019 up 10.2% volatile
32 Cameroon 1.67 2019 down 57.9% falling
33 Botswana 1.61 2019 down 46.9% volatile
34 Cote d'Ivoire 1.53 2019 down 54.9% falling
35 Burkina Faso 1.48 2019 down 46.2% falling
36 Sierra Leone 1.23 2019 down 34.0% volatile
37 Benin 1.15 2019 down 12.8% falling
38 Namibia 1.03 2019 down 88.6% volatile
39 Myanmar 0.9417 2019 down 55.6% rising
40 Togo 0.6985 2019 down 46.6% falling
41 Uganda 0.6722 2019 down 65.5% falling
42 Canada 0.6142 2019 up 38.4% volatile
43 Syria 0.5913 2019 up 34,682.4% volatile
44 Gabon 0.5145 2019 up 56.8% rising
45 Turkmenistan 0.4947 2019 up 822.9% volatile
46 Guinea-Bissau 0.4881 2019 down 1.6% falling
47 India 0.4783 2019 down 59.4% rising
48 Malawi 0.4111 2019 up 6.1% falling
49 Thailand 0.4069 2019 down 37.0% flat
50 Laos 0.3811 2019 down 5.4% volatile
51 Honduras 0.3314 2019 up 39.7% volatile
52 China 0.3186 2019 down 61.7% volatile
53 Mongolia 0.2919 2019 down 19.6% falling
54 Iran 0.2227 2019 up 332.4% flat
55 Niger 0.2135 2019 up 6.3% falling
56 Vietnam 0.1932 2019 down 51.9% flat
57 Kenya 0.1892 2019 up 39.7% volatile
58 Nicaragua 0.1879 2019 up 139.4% volatile
59 Papua New Guinea 0.1875 2019 down 9.7% volatile
60 Mauritania 0.1623 2019 down 59.4% volatile
61 Guatemala 0.16 2019 down 46.6% volatile
62 Liberia 0.1254 2019 down 67.1% volatile
63 Ukraine 0.1221 2019 down 8.3% volatile
64 Eswatini 0.1188 2019 up 150.1% flat
65 Gambia 0.1101 2019 down 35.3% falling
66 Peru 0.1004 2019 up 114.5% volatile
67 Nepal 0.0925 2019 up 32.1% volatile
68 Azerbaijan 0.0916 2019 up 816.0% volatile
69 Guyana 0.082 2019 up 37.8% volatile
70 Suriname 0.0781 2019 up 0.5% volatile
71 Panama 0.0765 2019 down 6.2% volatile
72 Ecuador 0.0628 2019 up 58.2% volatile
73 Philippines 0.0603 2019 down 14.3% rising
74 Chile 0.0548 2019 down 0.9% volatile
75 Turkey 0.0506 2019 up 13.2% volatile
76 Algeria 0.0495 2019 down 70.1% volatile
77 Uzbekistan 0.0431 2019 down 0.9% falling
78 Spain 0.0427 2019 down 43.8% volatile
79 Belize 0.0423 2019 up 243.9% volatile
80 Rwanda 0.0417 2019 up 213.5% volatile
81 Burundi 0.0397 2019 up 9.4% falling
82 Cuba 0.0385 2019 down 75.7% volatile
83 Lesotho 0.0301 2019 down 44.4% volatile
84 Costa Rica 0.027 2019 up 92.9% rising
85 France 0.0257 2019 up 164.9% volatile
86 Bangladesh 0.0224 2019 down 77.6% volatile
87 Pakistan 0.0191 2019 down 46.6% rising
88 Portugal 0.0166 2019 down 69.7% volatile
89 New Caledonia 0.0164 2019 — volatile
90 Uruguay 0.0163 2019 down 36.6% flat
91 Romania 0.0156 2019 up 47.2% volatile
92 Malaysia 0.0149 2019 down 63.6% volatile
93 Georgia 0.0148 2019 up 1,038.5% volatile
94 Belarus 0.0136 2019 up 33.3% volatile
95 East Timor 0.0135 2019 up 0.7% volatile
96 El Salvador 0.0132 2019 up 633.3% volatile
97 Afghanistan 0.0131 2019 up 184.8% volatile
98 United Kingdom 0.013 2019 up 622.2% volatile
99 North Macedonia 0.0114 2019 up 2,750.0% volatile
100 Armenia 0.0112 2019 up 11,100.0% volatile
101 Egypt 0.0102 2019 up 3,300.0% volatile
102 Serbia 0.009 2019 up 373.7% volatile
103 Bulgaria 0.0075 2019 up 167.9% volatile
104 Eritrea 0.0073 2019 up 630.0% volatile
105 Sri Lanka 0.007 2019 down 94.2% volatile
106 Tunisia 0.0061 2019 up 6,000.0% volatile
107 Bosnia and Herzegovina 0.006 2019 up 500.0% volatile
108 Greece 0.0052 2019 down 83.2% volatile
109 Dominican Republic 0.0051 2019 down 42.7% volatile
110 Italy 0.0049 2019 down 60.8% volatile
110 Libya 0.0049 2019 — volatile
112 Bahamas 0.0042 2019 down 75.0% volatile
113 North Korea 0.0041 2019 down 86.3% volatile
114 Comoros 0.0032 2019 — volatile
115 Somalia 0.003 2019 down 82.8% volatile
116 Croatia 0.0028 2019 up 7.7% volatile
116 Morocco 0.0028 2019 down 53.3% volatile
118 Albania 0.0024 2019 down 20.0% volatile
118 Kyrgyzstan 0.0024 2019 up 41.2% volatile
120 Finland 0.0021 2019 down 4.5% volatile
120 New Zealand 0.0021 2019 — volatile
122 South Korea 0.0018 2019 down 37.9% volatile
123 Bhutan 0.0016 2019 up 300.0% volatile
123 Japan 0.0016 2019 down 48.4% volatile
123 Montenegro 0.0016 2019 up 1,500.0% volatile
126 Lebanon 0.0015 2019 — volatile
127 Jamaica 0.0012 2019 up 140.0% volatile
128 Moldova 0.0011 2019 — volatile
128 Saudi Arabia 0.0011 2019 down 92.3% volatile
130 Israel 0.001 2019 — volatile
131 Norway 0.0009 2019 — volatile
132 Haiti 0.0008 2019 up 14.3% falling
132 Ireland 0.0008 2019 — volatile
134 Greenland 0.0004 2019 — volatile
134 Hungary 0.0004 2019 down 63.6% volatile
134 Trinidad and Tobago 0.0004 2019 unchanged volatile
137 Palestine 0.0003 2019 — volatile
138 Estonia 0.0002 2019 — volatile
138 Poland 0.0002 2019 down 71.4% volatile
140 Cyprus 0.0001 2019 — volatile
140 Czechia 0.0001 2019 unchanged volatile
140 Germany 0.0001 2019 unchanged volatile
140 Fiji 0.0001 2019 down 98.1% volatile
140 Latvia 0.0001 2019 down 80.0% volatile
140 Puerto Rico 0.0001 2019 — volatile
140 Slovakia 0.0001 2019 — volatile
147 Aruba 0 2019 — flat
147 Andorra 0 2019 — flat
147 United Arab Emirates 0 2019 — volatile
147 American Samoa 0 2019 — flat
147 Antigua and Barbuda 0 2019 — flat
147 Austria 0 2019 — volatile
147 Belgium 0 2019 — volatile
147 Bahrain 0 2019 — flat
147 Bermuda 0 2019 — flat
147 Barbados 0 2019 — volatile
147 Brunei 0 2019 down 100.0% volatile
147 Switzerland 0 2019 — volatile
147 Cape Verde 0 2019 — flat
147 Cayman Islands 0 2019 — flat
147 Dominica 0 2019 — flat
147 Denmark 0 2019 — volatile
147 Faroe Islands 0 2019 — flat
147 Micronesia (country) 0 2019 — flat
147 Gibraltar 0 2019 — flat
147 Equatorial Guinea 0 2019 — flat
147 Grenada 0 2019 — flat
147 Guam 0 2019 — flat
147 Hong Kong 0 2019 down 100.0% volatile
147 Isle of Man 0 2019 — flat
147 Iceland 0 2019 — volatile
147 Jordan 0 2019 — volatile
147 Kiribati 0 2019 — flat
147 Saint Kitts and Nevis 0 2019 — volatile
147 Kuwait 0 2019 — flat
147 Saint Lucia 0 2019 — flat
147 Lithuania 0 2019 down 100.0% volatile
147 Luxembourg 0 2019 — flat
147 Macao 0 2019 — flat
147 Maldives 0 2019 — flat
147 Marshall Islands 0 2019 — flat
147 Malta 0 2019 — flat
147 Northern Mariana Islands 0 2019 — flat
147 Mauritius 0 2019 — volatile
147 Netherlands 0 2019 — flat
147 Nauru 0 2019 — flat
147 Oman 0 2019 — flat
147 Palau 0 2019 — flat
147 French Polynesia 0 2019 — flat
147 Qatar 0 2019 — flat
147 Singapore 0 2019 — flat
147 Solomon Islands 0 2019 — volatile
147 Sao Tome and Principe 0 2019 — flat
147 Slovenia 0 2019 — volatile
147 Sweden 0 2019 — volatile
147 Seychelles 0 2019 — flat
147 Turks and Caicos Islands 0 2019 down 100.0% volatile
147 Tajikistan 0 2019 down 100.0% volatile
147 Tonga 0 2019 — flat
147 Tuvalu 0 2019 — flat
147 Saint Vincent and the Grenadines 0 2019 — flat
147 British Virgin Islands 0 2019 — flat
147 United States Virgin Islands 0 2019 — flat
147 Vanuatu 0 2019 — volatile
147 Samoa 0 2019 — flat
147 Taiwan 0 2019 down 100.0% volatile
147 Cook Islands 0 2019 — flat
147 Niue 0 2019 — flat

About this data

Indicator
Emission Totals - Emissions (N2O) - Savanna fires
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
209 places, 6,119 data points, 1990–2019
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).