Emission Totals - Emissions (CH4) - 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
444.23
Democratic Republic of Congo
Lowest
0
Niue
Median
0.0088
Years covered
30
1990–2019
Data points
6,119

What the numbers show

Emission Totals - Emissions (CH4) - Forest fires is currently reported for 208 countries. The highest value is 444.23 in Democratic Republic of Congo; the lowest is 0 in Niue.

The median across all reporting countries is 0.0088, and the mean is 14.47.

Over the past decade 64 countries rose and 53 fell. The largest increase was in El Salvador (up 16,442.9%), and the largest decrease in Albania (down 100.0%).

Emission Totals - Emissions (CH4) - Forest fires: full country ranking

#Country LatestYear 10-year changeTrend
1 Democratic Republic of Congo 444.23 2019 down 5.6% falling
2 Australia 389.17 2019 up 504.5% volatile
3 Mozambique 354.63 2019 down 10.9% rising
4 Angola 249.4 2019 down 0.2% falling
5 Central African Republic 246.61 2019 down 11.0% rising
6 Bolivia 202.12 2019 up 564.9% volatile
7 Brazil 192.69 2019 up 348.4% volatile
8 Tanzania 130.01 2019 down 28.1% rising
9 Russia 124.31 2019 up 36.7% volatile
10 Myanmar 121.36 2019 down 54.7% falling
11 India 57.38 2019 down 70.4% rising
12 Cambodia 51.77 2019 down 53.7% falling
13 Mexico 48.24 2019 up 66.5% volatile
14 Indonesia 48.14 2019 up 26.0% volatile
15 Canada 40.01 2019 up 906.0% volatile
16 Thailand 39.36 2019 down 21.0% falling
17 United States 29.1 2019 up 38.3% volatile
18 Laos 28.34 2019 up 6.8% volatile
19 Nepal 23.12 2019 up 66.3% volatile
20 Paraguay 20.7 2019 up 577.1% volatile
21 Cameroon 17.34 2019 up 23.2% volatile
22 Venezuela 13.96 2019 up 817.9% volatile
23 Chad 13.27 2019 up 18.3% volatile
24 Ethiopia 13.26 2019 down 5.0% volatile
25 Madagascar 9.95 2019 up 2.6% volatile
26 South Sudan 9.88 2019 down 49.3% falling
27 Vietnam 8.52 2019 down 33.5% volatile
28 China 8.12 2019 down 44.3% volatile
29 Congo 7.68 2019 up 60.1% falling
30 Malawi 4.81 2019 up 30.4% rising
31 Honduras 4.3 2019 down 28.0% volatile
32 Ukraine 4.18 2019 up 49.5% volatile
33 Colombia 4.17 2019 up 158.5% volatile
34 Liberia 4.01 2019 down 66.4% volatile
35 South Africa 3.82 2019 up 71.2% volatile
36 Chile 3.27 2019 up 63.6% volatile
37 Argentina 3 2019 down 76.8% volatile
38 Nigeria 2.96 2019 up 4.3% volatile
39 Guinea-Bissau 2.76 2019 down 44.2% falling
40 Peru 2.59 2019 up 137.0% volatile
41 Guatemala 2.43 2019 down 67.7% volatile
42 Nicaragua 1.97 2019 up 481.5% volatile
43 Belize 1.28 2019 up 216.4% volatile
44 Benin 1.1 2019 up 22.2% volatile
45 North Korea 1.08 2019 down 79.3% volatile
46 Papua New Guinea 1.06 2019 up 25.7% volatile
47 Guinea 0.9806 2019 down 69.8% volatile
48 Philippines 0.9371 2019 up 188.1% volatile
49 France 0.9348 2019 up 82.9% volatile
50 Gabon 0.8401 2019 up 51.7% falling
51 Malaysia 0.8383 2019 down 70.3% volatile
52 Georgia 0.8077 2019 up 3,143.8% volatile
53 Costa Rica 0.7612 2019 up 302.8% volatile
54 Guyana 0.7438 2019 up 378.3% volatile
55 Senegal 0.6902 2019 down 65.8% volatile
56 Turkey 0.6748 2019 up 5,298.4% volatile
57 Uganda 0.6692 2019 up 35.4% volatile
58 Sierra Leone 0.6013 2019 down 34.5% volatile
59 Algeria 0.5177 2019 up 15.6% volatile
60 Panama 0.5001 2019 up 59.6% volatile
61 Eswatini 0.4818 2019 up 223.4% volatile
62 Portugal 0.416 2019 up 255.3% volatile
63 Ghana 0.4087 2019 up 535.6% volatile
64 Bangladesh 0.4073 2019 down 88.4% volatile
65 Spain 0.4009 2019 up 60.9% volatile
66 El Salvador 0.3474 2019 up 16,442.9% volatile
67 Ecuador 0.3453 2019 up 206.4% volatile
68 Serbia 0.2892 2019 up 314.3% volatile
69 Japan 0.2835 2019 up 99.9% flat
70 Bahamas 0.2745 2019 down 50.8% volatile
71 Greece 0.269 2019 up 5,280.0% volatile
72 Suriname 0.2655 2019 up 137.1% volatile
73 East Timor 0.2322 2019 up 106.8% volatile
74 Belarus 0.2298 2019 up 267.7% volatile
75 Romania 0.192 2019 down 3.8% volatile
76 New Caledonia 0.1662 2019 β€” volatile
77 Uruguay 0.1368 2019 up 1,003.2% volatile
78 Togo 0.1328 2019 up 16.4% volatile
79 Kenya 0.121 2019 down 22.5% volatile
80 North Macedonia 0.1096 2019 β€” volatile
81 Cote d'Ivoire 0.1083 2019 down 73.4% volatile
82 Dominican Republic 0.0956 2019 down 11.5% volatile
83 Botswana 0.0943 2019 up 1,174.3% volatile
84 Italy 0.0848 2019 down 60.0% volatile
85 Namibia 0.0794 2019 up 973.0% volatile
86 Bosnia and Herzegovina 0.0748 2019 up 233.9% volatile
87 Sudan 0.0743 2019 up 49.8% rising
88 Morocco 0.0697 2019 up 597.0% volatile
89 Cuba 0.0681 2019 down 95.7% volatile
90 South Korea 0.0622 2019 down 70.6% volatile
91 Moldova 0.0599 2019 β€” volatile
92 Pakistan 0.0448 2019 down 56.1% volatile
93 Bulgaria 0.0399 2019 up 698.0% volatile
93 Croatia 0.0399 2019 up 100.5% volatile
95 Montenegro 0.0374 2019 β€” volatile
96 Bhutan 0.0319 2019 down 77.7% volatile
97 United Kingdom 0.03 2019 up 1,400.0% volatile
98 Trinidad and Tobago 0.0291 2019 up 592.9% volatile
99 Tunisia 0.0274 2019 β€” volatile
100 New Zealand 0.0199 2019 up 59.2% volatile
101 Fiji 0.0166 2019 down 96.2% volatile
102 Burundi 0.0124 2019 up 25.3% volatile
103 Armenia 0.01 2019 β€” volatile
103 Azerbaijan 0.01 2019 β€” volatile
105 Austria 0.0075 2019 unchanged volatile
105 Iran 0.0075 2019 β€” volatile
105 Slovenia 0.0075 2019 down 25.0% volatile
105 Syria 0.0075 2019 β€” volatile
109 Mali 0.0062 2019 up 47.6% volatile
110 Hungary 0.005 2019 down 77.8% volatile
111 Finland 0.0041 2019 up 105.0% volatile
112 Kazakhstan 0.0025 2019 β€” volatile
113 Brunei 0.0021 2019 down 83.1% volatile
113 Comoros 0.0021 2019 down 83.2% volatile
115 Mongolia 0.002 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€” volatile
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€” volatile
116 Ireland 0 2019 β€” volatile
116 Iraq 0 2019 β€” volatile
116 Iceland 0 2019 β€” flat
116 Israel 0 2019 β€” volatile
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€” volatile
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€” volatile
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 (CH4) - 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, 6,119 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).