Emission Totals - Emissions (N2O) - Forest 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
40.56
Democratic Republic of Congo
Lowest
0
Niue
Median
0.0008
Years covered
30
1990–2019
Data points
6,120

What the numbers show

Emission Totals - Emissions (N2O) - Forest fires is currently reported for 208 countries. The highest value is 40.56 in Democratic Republic of Congo; the lowest is 0 in Niue.

The median across all reporting countries is 0.0008, and the mean is 1.32.

Over the past decade 64 countries rose and 53 fell. The largest increase was in El Salvador (up 15,750.0%), and the largest decrease in Albania (down 100.0%).

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

#Country LatestYear 10-year changeTrend
1 Democratic Republic of Congo 40.56 2019 down 5.6% rising
2 Australia 35.53 2019 up 504.5% volatile
3 Mozambique 32.38 2019 down 10.9% rising
4 Angola 22.77 2019 down 0.2% rising
5 Central African Republic 22.52 2019 down 11.0% rising
6 Bolivia 18.45 2019 up 564.9% volatile
7 Brazil 17.59 2019 up 348.4% falling
8 Tanzania 11.87 2019 down 28.1% rising
9 Russia 11.35 2019 up 36.7% falling
10 Myanmar 11.08 2019 down 54.7% rising
11 India 5.24 2019 down 70.4% volatile
12 Cambodia 4.73 2019 down 53.7% rising
13 Mexico 4.4 2019 up 66.5% volatile
14 Indonesia 4.4 2019 up 26.0% volatile
15 Canada 3.65 2019 up 906.0% volatile
16 Thailand 3.59 2019 down 21.0% rising
17 United States 2.66 2019 up 38.3% flat
18 Laos 2.59 2019 up 6.8% volatile
19 Nepal 2.11 2019 up 66.3% volatile
20 Paraguay 1.89 2019 up 577.1% volatile
21 Cameroon 1.58 2019 up 23.2% falling
22 Venezuela 1.27 2019 up 818.2% volatile
23 Chad 1.21 2019 up 18.3% falling
24 Ethiopia 1.21 2019 down 5.0% falling
25 Madagascar 0.9083 2019 up 2.6% rising
26 South Sudan 0.9024 2019 down 49.3% falling
27 Vietnam 0.7778 2019 down 33.5% flat
28 China 0.7412 2019 down 44.3% falling
29 Congo 0.7017 2019 up 60.1% rising
30 Malawi 0.4393 2019 up 30.4% rising
31 Honduras 0.3923 2019 down 28.0% volatile
32 Ukraine 0.382 2019 up 49.5% volatile
33 Colombia 0.3805 2019 up 158.5% volatile
34 Liberia 0.3659 2019 down 66.4% volatile
35 South Africa 0.349 2019 up 71.2% volatile
36 Chile 0.2983 2019 up 63.6% volatile
37 Argentina 0.2738 2019 down 76.8% volatile
38 Nigeria 0.27 2019 up 4.3% volatile
39 Guinea-Bissau 0.252 2019 down 44.2% rising
40 Peru 0.2368 2019 up 137.0% volatile
41 Guatemala 0.2214 2019 down 67.7% volatile
42 Nicaragua 0.1796 2019 up 481.2% volatile
43 Belize 0.117 2019 up 216.2% volatile
44 Benin 0.1 2019 up 22.2% volatile
45 North Korea 0.0989 2019 down 79.3% volatile
46 Papua New Guinea 0.0972 2019 up 25.7% volatile
47 Guinea 0.0895 2019 down 69.8% falling
48 Philippines 0.0856 2019 up 188.2% volatile
49 France 0.0853 2019 up 82.7% volatile
50 Gabon 0.0767 2019 up 51.6% rising
51 Malaysia 0.0765 2019 down 70.4% volatile
52 Georgia 0.0737 2019 up 3,104.3% volatile
53 Costa Rica 0.0695 2019 up 301.7% volatile
54 Guyana 0.0679 2019 up 378.2% volatile
55 Senegal 0.063 2019 down 65.8% volatile
56 Turkey 0.0616 2019 up 5,500.0% volatile
57 Uganda 0.0611 2019 up 35.5% volatile
58 Sierra Leone 0.0549 2019 down 34.5% volatile
59 Algeria 0.0473 2019 up 15.6% volatile
60 Panama 0.0457 2019 up 59.8% volatile
61 Eswatini 0.044 2019 up 223.5% volatile
62 Portugal 0.038 2019 up 255.1% volatile
63 Ghana 0.0373 2019 up 532.2% volatile
64 Bangladesh 0.0372 2019 down 88.4% volatile
65 Spain 0.0366 2019 up 61.2% volatile
66 El Salvador 0.0317 2019 up 15,750.0% volatile
67 Ecuador 0.0315 2019 up 205.8% volatile
68 Serbia 0.0264 2019 up 312.5% volatile
69 Japan 0.0259 2019 up 100.8% volatile
70 Bahamas 0.0251 2019 down 50.7% volatile
71 Greece 0.0246 2019 up 4,820.0% volatile
72 Suriname 0.0242 2019 up 137.3% volatile
73 East Timor 0.0212 2019 up 105.8% volatile
74 Belarus 0.021 2019 up 268.4% volatile
75 Romania 0.0175 2019 down 3.8% volatile
76 New Caledonia 0.0152 2019 β€” volatile
77 Uruguay 0.0125 2019 up 1,036.4% volatile
78 Togo 0.0121 2019 up 16.3% volatile
79 Kenya 0.011 2019 down 22.5% volatile
80 North Macedonia 0.01 2019 β€” volatile
81 Cote d'Ivoire 0.0099 2019 down 73.3% volatile
82 Dominican Republic 0.0087 2019 down 12.1% volatile
83 Botswana 0.0086 2019 up 1,128.6% volatile
84 Italy 0.0077 2019 down 60.1% volatile
85 Namibia 0.0072 2019 up 928.6% volatile
86 Bosnia and Herzegovina 0.0068 2019 up 240.0% volatile
86 Sudan 0.0068 2019 up 51.1% rising
88 Morocco 0.0064 2019 up 611.1% volatile
89 Cuba 0.0062 2019 down 95.7% volatile
90 South Korea 0.0057 2019 down 70.5% volatile
91 Moldova 0.0055 2019 β€” volatile
92 Pakistan 0.0041 2019 down 55.9% volatile
93 Bulgaria 0.0036 2019 up 620.0% volatile
93 Croatia 0.0036 2019 up 100.0% volatile
95 Montenegro 0.0034 2019 β€” volatile
96 Bhutan 0.0029 2019 down 77.7% volatile
97 United Kingdom 0.0027 2019 up 1,250.0% volatile
97 Trinidad and Tobago 0.0027 2019 up 575.0% volatile
99 Tunisia 0.0025 2019 β€” volatile
100 New Zealand 0.0018 2019 up 63.6% volatile
101 Fiji 0.0015 2019 down 96.3% volatile
102 Burundi 0.0011 2019 up 22.2% volatile
103 Armenia 0.0009 2019 β€” volatile
103 Azerbaijan 0.0009 2019 β€” volatile
105 Austria 0.0007 2019 unchanged volatile
105 Iran 0.0007 2019 β€” volatile
105 Slovenia 0.0007 2019 down 22.2% volatile
105 Syria 0.0007 2019 β€” volatile
109 Mali 0.0006 2019 up 50.0% volatile
110 Hungary 0.0005 2019 down 76.2% volatile
111 Finland 0.0004 2019 up 100.0% volatile
112 Brunei 0.0002 2019 down 81.8% volatile
112 Comoros 0.0002 2019 down 81.8% volatile
112 Kazakhstan 0.0002 2019 β€” volatile
112 Mongolia 0.0002 2019 down 99.8% volatile
116 Aruba 0 2019 β€” flat
116 Afghanistan 0 2019 β€” volatile
116 Albania 0 2019 down 100.0% volatile
116 Andorra 0 2019 β€” flat
116 United Arab Emirates 0 2019 β€” flat
116 American Samoa 0 2019 β€” flat
116 Antigua and Barbuda 0 2019 β€” flat
116 Belgium 0 2019 β€” volatile
116 Burkina Faso 0 2019 down 100.0% volatile
116 Bahrain 0 2019 β€” flat
116 Bermuda 0 2019 β€” flat
116 Barbados 0 2019 β€” flat
116 Switzerland 0 2019 down 100.0% volatile
116 Cape Verde 0 2019 β€” flat
116 Cayman Islands 0 2019 β€” flat
116 Cyprus 0 2019 β€” volatile
116 Czechia 0 2019 down 100.0% volatile
116 Germany 0 2019 down 100.0% volatile
116 Dominica 0 2019 β€” flat
116 Denmark 0 2019 β€” volatile
116 Egypt 0 2019 β€” volatile
116 Eritrea 0 2019 β€” volatile
116 Estonia 0 2019 β€” volatile
116 Faroe Islands 0 2019 β€” flat
116 Micronesia (country) 0 2019 β€” flat
116 Gibraltar 0 2019 β€” volatile
116 Gambia 0 2019 β€” volatile
116 Equatorial Guinea 0 2019 β€” volatile
116 Grenada 0 2019 β€” flat
116 Greenland 0 2019 β€” flat
116 Guam 0 2019 β€” flat
116 Hong Kong 0 2019 down 100.0% volatile
116 Haiti 0 2019 β€” volatile
116 Isle of Man 0 2019 β€” flat
116 Ireland 0 2019 β€” volatile
116 Iraq 0 2019 β€” volatile
116 Iceland 0 2019 β€” flat
116 Israel 0 2019 β€” flat
116 Jamaica 0 2019 β€” volatile
116 Jordan 0 2019 β€” flat
116 Kyrgyzstan 0 2019 β€” volatile
116 Kiribati 0 2019 β€” flat
116 Saint Kitts and Nevis 0 2019 β€” flat
116 Kuwait 0 2019 β€” flat
116 Lebanon 0 2019 β€” volatile
116 Libya 0 2019 β€” flat
116 Saint Lucia 0 2019 β€” flat
116 Sri Lanka 0 2019 down 100.0% volatile
116 Lesotho 0 2019 β€” volatile
116 Lithuania 0 2019 down 100.0% volatile
116 Luxembourg 0 2019 β€” volatile
116 Latvia 0 2019 down 100.0% volatile
116 Macao 0 2019 β€” flat
116 Maldives 0 2019 β€” flat
116 Marshall Islands 0 2019 β€” flat
116 Malta 0 2019 β€” flat
116 Northern Mariana Islands 0 2019 β€” flat
116 Mauritania 0 2019 β€” volatile
116 Mauritius 0 2019 β€” volatile
116 Niger 0 2019 β€” volatile
116 Netherlands 0 2019 β€” flat
116 Norway 0 2019 β€” volatile
116 Nauru 0 2019 β€” flat
116 Oman 0 2019 β€” flat
116 Palau 0 2019 β€” flat
116 Poland 0 2019 down 100.0% volatile
116 Puerto Rico 0 2019 β€” volatile
116 Palestine 0 2019 β€” flat
116 French Polynesia 0 2019 β€” flat
116 Qatar 0 2019 β€” flat
116 Rwanda 0 2019 down 100.0% volatile
116 Saudi Arabia 0 2019 β€” flat
116 Singapore 0 2019 β€” volatile
116 Solomon Islands 0 2019 β€” volatile
116 Somalia 0 2019 β€” volatile
116 Sao Tome and Principe 0 2019 β€” flat
116 Slovakia 0 2019 down 100.0% volatile
116 Sweden 0 2019 β€” volatile
116 Seychelles 0 2019 β€” flat
116 Turks and Caicos Islands 0 2019 β€” volatile
116 Tajikistan 0 2019 β€” volatile
116 Turkmenistan 0 2019 β€” volatile
116 Tonga 0 2019 β€” flat
116 Tuvalu 0 2019 β€” flat
116 Uzbekistan 0 2019 β€” volatile
116 Saint Vincent and the Grenadines 0 2019 β€” flat
116 British Virgin Islands 0 2019 β€” volatile
116 United States Virgin Islands 0 2019 β€” flat
116 Vanuatu 0 2019 β€” volatile
116 Samoa 0 2019 β€” volatile
116 Taiwan 0 2019 down 100.0% volatile
116 Cook Islands 0 2019 β€” flat
116 Niue 0 2019 β€” flat

About this data

Indicator
Emission Totals - Emissions (N2O) - Forest 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, 6,120 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).