Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid tropical forests 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
209
Highest
10,641
Congo, Democratic Republic of the
Lowest
0
Taiwan Province of China
Median
0
Years covered
30
1990β2019
Data points
6,119
What the numbers show
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid tropical forests is currently reported for 209 countries. The highest value is 10,641 in Congo, Democratic Republic of the; the lowest is 0 in Taiwan Province of China.
The median across all reporting countries is 0, and the mean is 208.03.
Over the past decade 34 countries rose and 35 fell. The largest increase was in El Salvador (up 3,501.6%), and the largest decrease in Burkina Faso (down 100.0%).
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Congo, Democratic Republic of the | 10,641 | 2019 | down 5.5% | rising |
| 1 | Cook Islands | 0 | 2019 | β | flat |
| 1 | Niue | 0 | 2019 | β | flat |
| 2 | Angola | 5,892 | 2019 | up 1.2% | rising |
| 3 | Central African Republic | 5,730 | 2019 | down 9.8% | rising |
| 4 | Brazil | 4,573 | 2019 | up 361.4% | falling |
| 5 | Bolivia | 4,205 | 2019 | up 509.5% | volatile |
| 6 | Myanmar | 2,176 | 2019 | down 50.8% | rising |
| 7 | Mozambique, Republic of | 1,950 | 2019 | down 17.9% | rising |
| 8 | Tanzania, United Republic of | 1,835 | 2019 | down 21.9% | rising |
| 9 | Indonesia | 1,044 | 2019 | up 14.6% | volatile |
| 10 | Cambodia | 721.53 | 2019 | down 45.7% | rising |
| 11 | Thailand | 618.48 | 2019 | down 32.1% | rising |
| 12 | Nepal | 524.3 | 2019 | up 70.4% | volatile |
| 13 | Cameroon | 414.73 | 2019 | up 22.7% | falling |
| 14 | Lao People's Democratic Republic | 338.56 | 2019 | up 4.8% | volatile |
| 15 | Chad | 313.9 | 2019 | up 18.8% | rising |
| 16 | Mexico | 256.65 | 2019 | down 19.5% | volatile |
| 17 | Venezuela, RepΓΊblica Bolivariana de | 253.66 | 2019 | up 898.6% | volatile |
| 18 | South Sudan, Republic of | 224.57 | 2019 | down 50.7% | falling |
| 19 | India | 188.14 | 2019 | down 81.9% | volatile |
| 20 | Congo, Republic of | 185.34 | 2019 | up 59.6% | rising |
| 21 | Paraguay | 174.8 | 2019 | up 376.0% | volatile |
| 22 | Liberia | 96.9 | 2019 | down 66.5% | volatile |
| 23 | Ethiopia, The Federal Democratic Republic of | 94.92 | 2019 | down 13.8% | rising |
| 24 | Malawi | 94.76 | 2019 | up 53.4% | volatile |
| 25 | Colombia | 87.99 | 2019 | up 151.9% | volatile |
| 26 | Honduras | 85.49 | 2019 | down 28.7% | volatile |
| 27 | Madagascar, Republic of | 75.01 | 2019 | down 30.8% | rising |
| 28 | Nigeria | 71.48 | 2019 | up 5.2% | volatile |
| 29 | Guinea-Bissau | 66.79 | 2019 | down 44.2% | rising |
| 30 | Guatemala | 52.8 | 2019 | down 70.0% | volatile |
| 31 | Peru | 50.46 | 2019 | up 146.3% | volatile |
| 32 | Vietnam | 47.62 | 2019 | down 12.6% | flat |
| 33 | Nicaragua | 45.2 | 2019 | up 452.1% | volatile |
| 34 | Belize | 31 | 2019 | up 216.4% | volatile |
| 35 | Argentina | 30.39 | 2019 | down 72.0% | volatile |
| 36 | Benin | 26.51 | 2019 | up 22.2% | volatile |
| 37 | Guinea | 23.55 | 2019 | down 69.9% | falling |
| 38 | Australia | 23.32 | 2019 | down 68.8% | volatile |
| 39 | Papua New Guinea | 22.99 | 2019 | up 54.2% | volatile |
| 40 | Gabon | 20.33 | 2019 | up 51.7% | rising |
| 41 | Malaysia | 19.62 | 2019 | down 71.1% | volatile |
| 42 | Guyana | 17.52 | 2019 | up 405.8% | volatile |
| 43 | Costa Rica | 16.62 | 2019 | up 1,041.5% | volatile |
| 44 | Senegal | 16.22 | 2019 | down 66.8% | volatile |
| 45 | Uganda | 14.45 | 2019 | up 83.4% | volatile |
| 46 | Sierra Leone | 12.75 | 2019 | down 42.3% | volatile |
| 47 | Panama | 10.54 | 2019 | up 39.1% | volatile |
| 48 | Ghana | 9.89 | 2019 | up 535.5% | volatile |
| 49 | Bangladesh | 9.85 | 2019 | down 88.4% | volatile |
| 50 | Philippines | 9.59 | 2019 | up 42.5% | volatile |
| 51 | Bahamas, The | 6.64 | 2019 | down 31.6% | volatile |
| 52 | Suriname | 6.42 | 2019 | up 137.0% | volatile |
| 53 | New Caledonia | 4.02 | 2019 | β | volatile |
| 54 | Togo | 3.21 | 2019 | up 16.4% | volatile |
| 55 | CΓ΄te d'Ivoire | 2.56 | 2019 | down 74.0% | volatile |
| 56 | El Salvador | 1.81 | 2019 | up 3,501.6% | volatile |
| 57 | Cuba | 1.41 | 2019 | down 96.2% | volatile |
| 58 | South Africa | 1.36 | 2019 | up 575.1% | volatile |
| 59 | Ecuador | 0.803 | 2019 | up 433.2% | volatile |
| 60 | Dominican Republic | 0.7538 | 2019 | up 66.7% | volatile |
| 61 | Trinidad and Tobago | 0.7029 | 2019 | up 600.1% | volatile |
| 62 | Timor-Leste, Democratic Republic of | 0.7028 | 2019 | down 65.9% | volatile |
| 63 | Fiji, Republic of | 0.4019 | 2019 | down 96.2% | volatile |
| 64 | United States | 0.2516 | 2019 | down 76.2% | volatile |
| 65 | Mali | 0.1506 | 2019 | up 50.0% | volatile |
| 66 | Bhutan | 0.0503 | 2019 | down 97.8% | volatile |
| 67 | Brunei Darussalam | 0.0502 | 2019 | down 83.3% | volatile |
| 67 | Comoros, Union of the | 0.0502 | 2019 | down 83.3% | volatile |
| 67 | Kenya | 0.0502 | 2019 | β | volatile |
| 70 | Aruba, Kingdom of the Netherlands | 0 | 2019 | β | flat |
| 70 | Afghanistan, Islamic Republic of | 0 | 2019 | β | flat |
| 70 | Albania | 0 | 2019 | β | flat |
| 70 | Andorra, Principality of | 0 | 2019 | β | flat |
| 70 | United Arab Emirates | 0 | 2019 | β | flat |
| 70 | Armenia, Republic of | 0 | 2019 | β | flat |
| 70 | American Samoa | 0 | 2019 | β | flat |
| 70 | Antigua and Barbuda | 0 | 2019 | β | flat |
| 70 | Austria | 0 | 2019 | β | flat |
| 70 | Azerbaijan, Republic of | 0 | 2019 | β | flat |
| 70 | Burundi | 0 | 2019 | β | volatile |
| 70 | Belgium | 0 | 2019 | β | flat |
| 70 | Burkina Faso | 0 | 2019 | down 100.0% | volatile |
| 70 | Bulgaria | 0 | 2019 | β | flat |
| 70 | Bahrain, Kingdom of | 0 | 2019 | β | flat |
| 70 | Bosnia and Herzegovina | 0 | 2019 | β | flat |
| 70 | Belarus, Republic of | 0 | 2019 | β | flat |
| 70 | Bermuda | 0 | 2019 | β | flat |
| 70 | Barbados | 0 | 2019 | β | flat |
| 70 | Botswana | 0 | 2019 | β | flat |
| 70 | Canada | 0 | 2019 | β | flat |
| 70 | Switzerland | 0 | 2019 | β | flat |
| 70 | Chile | 0 | 2019 | β | flat |
| 70 | China (Peopleβs Republic of) | 0 | 2019 | β | volatile |
| 70 | Cabo Verde | 0 | 2019 | β | flat |
| 70 | Cayman Islands | 0 | 2019 | β | flat |
| 70 | Cyprus | 0 | 2019 | β | flat |
| 70 | Czechia | 0 | 2019 | β | flat |
| 70 | Germany | 0 | 2019 | β | flat |
| 70 | Djibouti | 0 | 2019 | β | flat |
| 70 | Dominica | 0 | 2019 | β | flat |
| 70 | Denmark | 0 | 2019 | β | flat |
| 70 | Algeria | 0 | 2019 | β | flat |
| 70 | Egypt, Arab Republic of | 0 | 2019 | β | flat |
| 70 | Eritrea, The State of | 0 | 2019 | β | flat |
| 70 | Spain | 0 | 2019 | β | flat |
| 70 | Estonia | 0 | 2019 | β | flat |
| 70 | Finland | 0 | 2019 | β | flat |
| 70 | France | 0 | 2019 | β | flat |
| 70 | Faroe Islands | 0 | 2019 | β | flat |
| 70 | Micronesia, Federated States of | 0 | 2019 | β | flat |
| 70 | United Kingdom | 0 | 2019 | β | flat |
| 70 | Georgia | 0 | 2019 | β | flat |
| 70 | Gibraltar | 0 | 2019 | β | flat |
| 70 | Gambia, The | 0 | 2019 | β | volatile |
| 70 | Equatorial Guinea, Republic of | 0 | 2019 | β | volatile |
| 70 | Greece | 0 | 2019 | β | flat |
| 70 | Grenada | 0 | 2019 | β | volatile |
| 70 | Greenland | 0 | 2019 | β | flat |
| 70 | Guam | 0 | 2019 | β | flat |
| 70 | Hong Kong Special Administrative Region, People's Republic of China | 0 | 2019 | β | flat |
| 70 | Croatia | 0 | 2019 | β | flat |
| 70 | Haiti | 0 | 2019 | β | volatile |
| 70 | Hungary | 0 | 2019 | β | flat |
| 70 | Isle of Man | 0 | 2019 | β | flat |
| 70 | Ireland | 0 | 2019 | β | flat |
| 70 | Iran, Islamic Republic of | 0 | 2019 | β | flat |
| 70 | Iraq | 0 | 2019 | β | flat |
| 70 | Iceland | 0 | 2019 | β | flat |
| 70 | Israel | 0 | 2019 | β | flat |
| 70 | Italy | 0 | 2019 | β | flat |
| 70 | Jamaica | 0 | 2019 | β | volatile |
| 70 | Jordan | 0 | 2019 | β | flat |
| 70 | Japan | 0 | 2019 | β | flat |
| 70 | Kazakhstan, Republic of | 0 | 2019 | β | flat |
| 70 | Kyrgyz Republic | 0 | 2019 | β | flat |
| 70 | Kiribati | 0 | 2019 | β | flat |
| 70 | St. Kitts and Nevis | 0 | 2019 | β | flat |
| 70 | Korea | 0 | 2019 | β | flat |
| 70 | Kuwait | 0 | 2019 | β | flat |
| 70 | Lebanon | 0 | 2019 | β | flat |
| 70 | Libya | 0 | 2019 | β | flat |
| 70 | St. Lucia | 0 | 2019 | β | flat |
| 70 | Sri Lanka | 0 | 2019 | down 100.0% | volatile |
| 70 | Lesotho, Kingdom of | 0 | 2019 | β | flat |
| 70 | Lithuania | 0 | 2019 | β | flat |
| 70 | Luxembourg | 0 | 2019 | β | flat |
| 70 | Latvia | 0 | 2019 | β | flat |
| 70 | Macao Special Administrative Region, People's Republic of China | 0 | 2019 | β | flat |
| 70 | Morocco | 0 | 2019 | β | flat |
| 70 | Moldova, Republic of | 0 | 2019 | β | flat |
| 70 | Maldives | 0 | 2019 | β | flat |
| 70 | Marshall Islands, Republic of the | 0 | 2019 | β | flat |
| 70 | North Macedonia, Republic of | 0 | 2019 | β | flat |
| 70 | Malta | 0 | 2019 | β | flat |
| 70 | Montenegro | 0 | 2019 | β | flat |
| 70 | Mongolia | 0 | 2019 | β | flat |
| 70 | Northern Mariana Islands | 0 | 2019 | β | flat |
| 70 | Mauritania, Islamic Republic of | 0 | 2019 | β | flat |
| 70 | Mauritius | 0 | 2019 | β | flat |
| 70 | Namibia | 0 | 2019 | β | flat |
| 70 | Niger | 0 | 2019 | β | flat |
| 70 | Netherlands | 0 | 2019 | β | flat |
| 70 | Norway | 0 | 2019 | β | flat |
| 70 | Naoero | 0 | 2019 | β | flat |
| 70 | New Zealand | 0 | 2019 | β | flat |
| 70 | Oman | 0 | 2019 | β | flat |
| 70 | Pakistan | 0 | 2019 | β | flat |
| 70 | Palau | 0 | 2019 | β | flat |
| 70 | Poland | 0 | 2019 | β | flat |
| 70 | Puerto Rico | 0 | 2019 | β | volatile |
| 70 | Korea, Democratic People's Republic of | 0 | 2019 | β | flat |
| 70 | Portugal | 0 | 2019 | β | flat |
| 70 | Palestine, State of | 0 | 2019 | β | flat |
| 70 | French Polynesia | 0 | 2019 | β | volatile |
| 70 | Qatar | 0 | 2019 | β | flat |
| 70 | Romania | 0 | 2019 | β | flat |
| 70 | Russian Federation | 0 | 2019 | β | flat |
| 70 | Rwanda | 0 | 2019 | β | flat |
| 70 | Saudi Arabia | 0 | 2019 | β | flat |
| 70 | Sudan | 0 | 2019 | β | volatile |
| 70 | Singapore | 0 | 2019 | β | volatile |
| 70 | Solomon Islands | 0 | 2019 | β | volatile |
| 70 | Somalia | 0 | 2019 | β | flat |
| 70 | Serbia, Republic of | 0 | 2019 | β | flat |
| 70 | SΓ£o TomΓ© and PrΓncipe, Democratic Republic of | 0 | 2019 | β | flat |
| 70 | Slovak Republic | 0 | 2019 | β | flat |
| 70 | Slovenia | 0 | 2019 | β | flat |
| 70 | Sweden | 0 | 2019 | β | flat |
| 70 | Eswatini, Kingdom of | 0 | 2019 | β | flat |
| 70 | Seychelles | 0 | 2019 | β | flat |
| 70 | Syrian Arab Republic | 0 | 2019 | β | flat |
| 70 | Turks and Caicos Islands | 0 | 2019 | β | volatile |
| 70 | Tajikistan, Republic of | 0 | 2019 | β | flat |
| 70 | Turkmenistan | 0 | 2019 | β | flat |
| 70 | Tonga | 0 | 2019 | β | flat |
| 70 | Tunisia | 0 | 2019 | β | flat |
| 70 | TΓΌrkiye | 0 | 2019 | β | flat |
| 70 | Tuvalu | 0 | 2019 | β | flat |
| 70 | Ukraine | 0 | 2019 | β | flat |
| 70 | Uruguay | 0 | 2019 | β | flat |
| 70 | Uzbekistan, Republic of | 0 | 2019 | β | flat |
| 70 | St. Vincent and the Grenadines | 0 | 2019 | β | flat |
| 70 | British Virgin Islands | 0 | 2019 | β | volatile |
| 70 | United States Virgin Islands | 0 | 2019 | β | flat |
| 70 | Vanuatu | 0 | 2019 | β | volatile |
| 70 | Samoa | 0 | 2019 | β | volatile |
| 70 | Taiwan Province of China | 0 | 2019 | β | flat |
About this data
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 1961β2019 with projections for 2030 and 2050 for some categories of emissions or 1990β2019 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).