Statizoid

Emission Totals - Emissions (CO2eq) (AR5) - 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
23,187
Democratic Republic of Congo
Lowest
0
Niue
Median
0.4554
Years covered
30
1990–2019
Data points
6,120

What the numbers show

Emission Totals - Emissions (CO2eq) (AR5) - Forest fires is currently reported for 208 countries. The highest value is 23,187 in Democratic Republic of Congo; the lowest is 0 in Niue.

The median across all reporting countries is 0.4554, and the mean is 755.01.

Over the past decade 64 countries rose and 53 fell. The largest increase was in El Salvador (up 16,643.6%), and the largest decrease in Albania (down 100.0%).

Emission Totals - Emissions (CO2eq) (AR5) - Forest fires: full country ranking

#Country LatestYear 10-year changeTrend
1 Democratic Republic of Congo 23,187 2019 down 5.6% falling
2 Australia 20,313 2019 up 504.5% volatile
3 Mozambique 18,510 2019 down 10.9% rising
4 Angola 13,018 2019 down 0.2% falling
5 Central African Republic 12,872 2019 down 11.0% rising
6 Bolivia 10,550 2019 up 564.9% volatile
7 Brazil 10,057 2019 up 348.4% volatile
8 Tanzania 6,786 2019 down 28.1% rising
9 Russia 6,489 2019 up 36.7% volatile
10 Myanmar 6,335 2019 down 54.7% falling
11 India 2,995 2019 down 70.4% volatile
12 Cambodia 2,702 2019 down 53.7% flat
13 Mexico 2,518 2019 up 66.5% volatile
14 Indonesia 2,513 2019 up 26.0% volatile
15 Canada 2,088 2019 up 906.0% volatile
16 Thailand 2,054 2019 down 21.0% flat
17 United States 1,519 2019 up 38.3% falling
18 Laos 1,479 2019 up 6.8% volatile
19 Nepal 1,207 2019 up 66.3% volatile
20 Paraguay 1,080 2019 up 577.1% volatile
21 Cameroon 905.28 2019 up 23.2% volatile
22 Venezuela 728.54 2019 up 817.9% volatile
23 Chad 692.55 2019 up 18.3% volatile
24 Ethiopia 692.02 2019 down 5.0% volatile
25 Madagascar 519.22 2019 up 2.6% flat
26 South Sudan 515.88 2019 down 49.3% falling
27 Vietnam 444.67 2019 down 33.5% falling
28 China 423.71 2019 down 44.3% falling
29 Congo 401.11 2019 up 60.1% flat
30 Malawi 251.12 2019 up 30.4% rising
31 Honduras 224.29 2019 down 28.0% volatile
32 Ukraine 218.37 2019 up 49.5% volatile
33 Colombia 217.5 2019 up 158.5% volatile
34 Liberia 209.16 2019 down 66.4% volatile
35 South Africa 199.53 2019 up 71.2% volatile
36 Chile 170.53 2019 up 63.6% volatile
37 Argentina 156.53 2019 down 76.8% volatile
38 Nigeria 154.33 2019 up 4.3% volatile
39 Guinea-Bissau 144.07 2019 down 44.2% rising
40 Peru 135.37 2019 up 137.0% volatile
41 Guatemala 126.59 2019 down 67.7% volatile
42 Nicaragua 102.68 2019 up 481.4% volatile
43 Belize 66.88 2019 up 216.4% volatile
44 Benin 57.18 2019 up 22.2% volatile
45 North Korea 56.56 2019 down 79.3% volatile
46 Papua New Guinea 55.55 2019 up 25.7% volatile
47 Guinea 51.19 2019 down 69.8% volatile
48 Philippines 48.91 2019 up 188.1% volatile
49 France 48.79 2019 up 82.9% volatile
50 Gabon 43.85 2019 up 51.7% flat
51 Malaysia 43.76 2019 down 70.3% volatile
52 Georgia 42.16 2019 up 3,140.3% volatile
53 Costa Rica 39.73 2019 up 302.7% volatile
54 Guyana 38.82 2019 up 378.3% volatile
55 Senegal 36.03 2019 down 65.8% volatile
56 Turkey 35.22 2019 up 5,315.9% volatile
57 Uganda 34.93 2019 up 35.4% volatile
58 Sierra Leone 31.39 2019 down 34.5% volatile
59 Algeria 27.02 2019 up 15.6% volatile
60 Panama 26.1 2019 up 59.6% volatile
61 Eswatini 25.15 2019 up 223.3% volatile
62 Portugal 21.71 2019 up 255.2% volatile
63 Ghana 21.33 2019 up 535.5% volatile
64 Bangladesh 21.26 2019 down 88.4% volatile
65 Spain 20.93 2019 up 61.0% volatile
66 El Salvador 18.13 2019 up 16,643.6% volatile
67 Ecuador 18.02 2019 up 206.3% volatile
68 Serbia 15.09 2019 up 314.2% volatile
69 Japan 14.8 2019 up 100.0% rising
70 Bahamas 14.33 2019 down 50.8% volatile
71 Greece 14.04 2019 up 5,299.5% volatile
72 Suriname 13.86 2019 up 137.0% volatile
73 East Timor 12.12 2019 up 106.8% volatile
74 Belarus 12 2019 up 268.0% volatile
75 Romania 10.02 2019 down 3.8% volatile
76 New Caledonia 8.68 2019 — volatile
77 Uruguay 7.14 2019 up 1,000.3% volatile
78 Togo 6.93 2019 up 16.4% volatile
79 Kenya 6.31 2019 down 22.5% volatile
80 North Macedonia 5.72 2019 — volatile
81 Cote d'Ivoire 5.65 2019 down 73.4% volatile
82 Dominican Republic 4.99 2019 down 11.4% volatile
83 Botswana 4.92 2019 up 1,166.8% volatile
84 Italy 4.43 2019 down 60.0% volatile
85 Namibia 4.14 2019 up 966.6% volatile
86 Bosnia and Herzegovina 3.9 2019 up 233.3% volatile
87 Sudan 3.88 2019 up 50.0% rising
88 Morocco 3.64 2019 up 600.0% volatile
89 Cuba 3.55 2019 down 95.7% volatile
90 South Korea 3.25 2019 down 70.6% volatile
91 Moldova 3.13 2019 — volatile
92 Pakistan 2.34 2019 down 56.1% volatile
93 Croatia 2.08 2019 up 100.0% volatile
94 Bulgaria 2.08 2019 up 700.0% volatile
95 Montenegro 1.95 2019 — volatile
96 Bhutan 1.66 2019 down 77.7% volatile
97 United Kingdom 1.57 2019 up 1,375.1% volatile
98 Trinidad and Tobago 1.52 2019 up 600.0% volatile
99 Tunisia 1.43 2019 — volatile
100 New Zealand 1.04 2019 up 59.8% volatile
101 Fiji 0.8671 2019 down 96.2% volatile
102 Burundi 0.6465 2019 up 25.0% volatile
103 Armenia 0.5202 2019 — volatile
104 Azerbaijan 0.5201 2019 — volatile
105 Austria 0.3907 2019 unchanged volatile
106 Slovenia 0.3906 2019 down 25.0% volatile
107 Iran 0.3898 2019 — volatile
108 Syria 0.3897 2019 — volatile
109 Mali 0.3249 2019 up 49.9% volatile
110 Hungary 0.2605 2019 down 77.8% volatile
111 Finland 0.2125 2019 up 99.9% volatile
112 Kazakhstan 0.1302 2019 — volatile
113 Brunei 0.1083 2019 down 83.3% volatile
113 Comoros 0.1083 2019 down 83.3% volatile
115 Mongolia 0.1061 2019 down 99.8% volatile
116 Aruba 0 2019 — flat
116 Afghanistan 0 2019 — volatile
116 Albania 0 2019 down 100.0% volatile
116 Andorra 0 2019 — flat
116 United Arab Emirates 0 2019 — flat
116 American Samoa 0 2019 — flat
116 Antigua and Barbuda 0 2019 — flat
116 Belgium 0 2019 — volatile
116 Burkina Faso 0 2019 down 100.0% volatile
116 Bahrain 0 2019 — flat
116 Bermuda 0 2019 — flat
116 Barbados 0 2019 — flat
116 Switzerland 0 2019 down 100.0% volatile
116 Cape Verde 0 2019 — flat
116 Cayman Islands 0 2019 — flat
116 Cyprus 0 2019 — volatile
116 Czechia 0 2019 down 100.0% volatile
116 Germany 0 2019 down 100.0% volatile
116 Dominica 0 2019 — flat
116 Denmark 0 2019 — volatile
116 Egypt 0 2019 — volatile
116 Eritrea 0 2019 — volatile
116 Estonia 0 2019 — volatile
116 Faroe Islands 0 2019 — flat
116 Micronesia (country) 0 2019 — flat
116 Gibraltar 0 2019 — volatile
116 Gambia 0 2019 — volatile
116 Equatorial Guinea 0 2019 — volatile
116 Grenada 0 2019 — volatile
116 Greenland 0 2019 — flat
116 Guam 0 2019 — flat
116 Hong Kong 0 2019 down 100.0% volatile
116 Haiti 0 2019 — volatile
116 Isle of Man 0 2019 — volatile
116 Ireland 0 2019 — volatile
116 Iraq 0 2019 — volatile
116 Iceland 0 2019 — flat
116 Israel 0 2019 — volatile
116 Jamaica 0 2019 — volatile
116 Jordan 0 2019 — flat
116 Kyrgyzstan 0 2019 — volatile
116 Kiribati 0 2019 — flat
116 Saint Kitts and Nevis 0 2019 — flat
116 Kuwait 0 2019 — flat
116 Lebanon 0 2019 — volatile
116 Libya 0 2019 — flat
116 Saint Lucia 0 2019 — flat
116 Sri Lanka 0 2019 down 100.0% volatile
116 Lesotho 0 2019 — volatile
116 Lithuania 0 2019 down 100.0% volatile
116 Luxembourg 0 2019 — volatile
116 Latvia 0 2019 down 100.0% volatile
116 Macao 0 2019 — flat
116 Maldives 0 2019 — flat
116 Marshall Islands 0 2019 — flat
116 Malta 0 2019 — flat
116 Northern Mariana Islands 0 2019 — flat
116 Mauritania 0 2019 — volatile
116 Mauritius 0 2019 — volatile
116 Niger 0 2019 — volatile
116 Netherlands 0 2019 — volatile
116 Norway 0 2019 — volatile
116 Nauru 0 2019 — flat
116 Oman 0 2019 — flat
116 Palau 0 2019 — flat
116 Poland 0 2019 down 100.0% volatile
116 Puerto Rico 0 2019 — volatile
116 Palestine 0 2019 — flat
116 French Polynesia 0 2019 — volatile
116 Qatar 0 2019 — flat
116 Rwanda 0 2019 down 100.0% volatile
116 Saudi Arabia 0 2019 — flat
116 Singapore 0 2019 — volatile
116 Solomon Islands 0 2019 — volatile
116 Somalia 0 2019 — volatile
116 Sao Tome and Principe 0 2019 — flat
116 Slovakia 0 2019 down 100.0% volatile
116 Sweden 0 2019 — volatile
116 Seychelles 0 2019 — flat
116 Turks and Caicos Islands 0 2019 — volatile
116 Tajikistan 0 2019 — volatile
116 Turkmenistan 0 2019 — volatile
116 Tonga 0 2019 — flat
116 Tuvalu 0 2019 — flat
116 Uzbekistan 0 2019 — volatile
116 Saint Vincent and the Grenadines 0 2019 — flat
116 British Virgin Islands 0 2019 — volatile
116 United States Virgin Islands 0 2019 — flat
116 Vanuatu 0 2019 — volatile
116 Samoa 0 2019 — volatile
116 Taiwan 0 2019 down 100.0% volatile
116 Cook Islands 0 2019 — flat
116 Niue 0 2019 — flat

About this data

Indicator
Emission Totals - Emissions (CO2eq) (AR5) - 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).