Emission Totals - Emissions (CO2eq) (AR5) - LULUCF 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
193
Highest
969,281
Indonesia
Lowest
-649,678
China
Median
36.59
Years covered
30
1990–2019
Data points
6,210
What the numbers show
Emission Totals - Emissions (CO2eq) (AR5) - LULUCF is currently reported for 193 countries. The highest value is 969,281 in Indonesia; the lowest is -649,678 in China.
The median across all reporting countries is 36.59, and the mean is 7,824.
Over the past decade 98 countries rose and 82 fell. The largest increase was in Denmark (up 4,600.1%), and the largest decrease in Kyrgyzstan (down 35,165.7%).
Emission Totals - Emissions (CO2eq) (AR5) - LULUCF: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 969,281 | 2019 | up 29.1% | rising |
| 2 | Democratic Republic of Congo | 624,558 | 2019 | up 59.2% | rising |
| 3 | Brazil | 394,364 | 2019 | down 64.3% | falling |
| 4 | Myanmar | 109,784 | 2019 | down 21.3% | falling |
| 5 | Peru | 89,928 | 2019 | up 38.5% | rising |
| 6 | Malaysia | 83,305 | 2019 | down 35.3% | volatile |
| 7 | Colombia | 83,187 | 2019 | up 3.2% | falling |
| 8 | Bolivia | 77,932 | 2019 | up 33.3% | falling |
| 9 | Mozambique | 71,338 | 2019 | up 2.3% | rising |
| 10 | Tanzania | 70,886 | 2019 | up 15.4% | rising |
| 11 | Angola | 48,610 | 2019 | down 0.1% | rising |
| 12 | Paraguay | 47,048 | 2019 | down 16.7% | rising |
| 13 | Nigeria | 46,146 | 2019 | up 0.0% | falling |
| 14 | Solomon Islands | 45,411 | 2019 | up 2,582.8% | volatile |
| 15 | Venezuela | 43,860 | 2019 | down 49.7% | falling |
| 16 | Botswana | 41,334 | 2019 | down 0.0% | flat |
| 17 | Papua New Guinea | 41,056 | 2019 | up 23.3% | rising |
| 18 | Canada | 37,359 | 2019 | down 87.6% | volatile |
| 19 | Cameroon | 34,663 | 2019 | down 17.7% | falling |
| 20 | Ethiopia | 32,405 | 2019 | up 1.4% | rising |
| 21 | Cambodia | 31,708 | 2019 | up 237.0% | volatile |
| 22 | Argentina | 29,857 | 2019 | down 68.7% | rising |
| 23 | Central African Republic | 26,854 | 2019 | down 5.6% | rising |
| 24 | Cote d'Ivoire | 26,649 | 2019 | up 0.1% | falling |
| 25 | Ecuador | 26,168 | 2019 | down 8.4% | falling |
| 26 | Burkina Faso | 24,101 | 2019 | up 46.5% | rising |
| 27 | Chad | 24,026 | 2019 | up 39.2% | rising |
| 28 | Australia | 22,501 | 2019 | down 31.3% | volatile |
| 29 | Bangladesh | 21,757 | 2019 | down 4.0% | flat |
| 30 | Sudan | 21,007 | 2019 | down 2.4% | flat |
| 31 | Nicaragua | 19,615 | 2019 | down 17.1% | falling |
| 32 | Somalia | 17,352 | 2019 | unchanged | flat |
| 33 | Mexico | 16,966 | 2019 | up 126.0% | volatile |
| 34 | Uganda | 15,853 | 2019 | down 0.1% | flat |
| 35 | Thailand | 15,096 | 2019 | up 148.8% | volatile |
| 36 | Guyana | 14,118 | 2019 | up 55.4% | rising |
| 37 | Liberia | 13,646 | 2019 | down 3.0% | flat |
| 38 | Guinea | 12,279 | 2019 | up 9.1% | rising |
| 39 | Congo | 10,870 | 2019 | up 17.4% | rising |
| 40 | Benin | 10,768 | 2019 | up 0.1% | falling |
| 41 | Madagascar | 10,636 | 2019 | down 52.8% | falling |
| 42 | Namibia | 10,565 | 2019 | up 0.0% | flat |
| 43 | Laos | 10,148 | 2019 | down 25.2% | falling |
| 44 | South Sudan | 9,417 | 2019 | up 24.1% | rising |
| 45 | Suriname | 9,374 | 2019 | up 135.9% | rising |
| 46 | Malawi | 8,394 | 2019 | up 0.2% | flat |
| 47 | Pakistan | 6,998 | 2019 | down 1.0% | falling |
| 48 | Finland | 6,942 | 2019 | up 146.7% | volatile |
| 49 | South Africa | 6,753 | 2019 | up 3.7% | falling |
| 50 | Gabon | 6,509 | 2019 | up 102.2% | rising |
| 51 | Honduras | 5,749 | 2019 | up 1.4% | flat |
| 52 | Belize | 5,305 | 2019 | up 62.1% | falling |
| 53 | Panama | 4,423 | 2019 | up 0.2% | falling |
| 54 | Senegal | 4,366 | 2019 | down 32.6% | falling |
| 55 | Nepal | 4,152 | 2019 | up 221.0% | volatile |
| 56 | Equatorial Guinea | 3,833 | 2019 | up 0.0% | flat |
| 57 | Burundi | 3,477 | 2019 | down 1.6% | volatile |
| 58 | Guatemala | 3,397 | 2019 | down 75.9% | falling |
| 59 | Sierra Leone | 3,377 | 2019 | down 0.5% | flat |
| 60 | North Korea | 3,344 | 2019 | up 69.6% | volatile |
| 61 | Mongolia | 3,097 | 2019 | down 25.6% | falling |
| 62 | Philippines | 2,511 | 2019 | up 4.6% | flat |
| 63 | Estonia | 1,952 | 2019 | up 247.4% | volatile |
| 64 | Sri Lanka | 1,911 | 2019 | down 22.5% | volatile |
| 65 | Hungary | 1,892 | 2019 | down 16.4% | rising |
| 66 | Rwanda | 1,655 | 2019 | down 38.0% | falling |
| 67 | Guinea-Bissau | 1,631 | 2019 | down 6.6% | flat |
| 68 | Greece | 1,403 | 2019 | up 229.1% | volatile |
| 69 | Netherlands | 1,357 | 2019 | up 21.5% | falling |
| 70 | Niger | 1,244 | 2019 | up 1.0% | volatile |
| 71 | El Salvador | 1,099 | 2019 | up 1.7% | flat |
| 72 | Northern Mariana Islands | 970.53 | 2019 | up 577.0% | volatile |
| 73 | Denmark | 856.26 | 2019 | up 4,600.1% | volatile |
| 74 | Togo | 818.88 | 2019 | down 13.9% | volatile |
| 75 | Haiti | 634.63 | 2019 | up 814.6% | volatile |
| 76 | Gambia | 527.72 | 2019 | up 0.0% | falling |
| 77 | Iraq | 496.1 | 2019 | up 1,059.5% | volatile |
| 78 | East Timor | 475.35 | 2019 | up 1.3% | flat |
| 79 | Eritrea | 446.86 | 2019 | down 2.4% | falling |
| 80 | Slovenia | 344.66 | 2019 | up 103.0% | volatile |
| 81 | Brunei | 338.41 | 2019 | down 73.5% | volatile |
| 82 | Portugal | 316.18 | 2019 | down 46.9% | volatile |
| 83 | Algeria | 224.14 | 2019 | up 109.4% | volatile |
| 84 | Sao Tome and Principe | 215.31 | 2019 | up 2,284.6% | volatile |
| 85 | Egypt | 182.82 | 2019 | up 207.0% | volatile |
| 86 | Jamaica | 179.61 | 2019 | up 107.4% | volatile |
| 87 | Belgium | 159.31 | 2019 | up 105.3% | volatile |
| 88 | Afghanistan | 154.66 | 2019 | up 26.9% | volatile |
| 89 | Trinidad and Tobago | 127.4 | 2019 | down 6.7% | rising |
| 90 | Moldova | 109.52 | 2019 | up 110.9% | volatile |
| 91 | Samoa | 106.63 | 2019 | down 0.0% | flat |
| 92 | Israel | 81.77 | 2019 | up 1,233.1% | volatile |
| 93 | Comoros | 59.96 | 2019 | down 0.9% | flat |
| 94 | Iran | 56.07 | 2019 | up 100.1% | volatile |
| 95 | Georgia | 42.16 | 2019 | up 101.2% | volatile |
| 96 | New Caledonia | 39.61 | 2019 | up 209.4% | volatile |
| 97 | Armenia | 36.59 | 2019 | down 70.3% | volatile |
| 98 | Singapore | 32.64 | 2019 | up 160.2% | volatile |
| 99 | Montenegro | 30.94 | 2019 | up 100.7% | volatile |
| 100 | Oman | 19.11 | 2019 | — | volatile |
| 101 | Faroe Islands | 16.53 | 2019 | up 0.2% | flat |
| 102 | Bahamas | 14.33 | 2019 | down 50.8% | volatile |
| 103 | North Macedonia | 5.72 | 2019 | — | volatile |
| 104 | Syria | 4.22 | 2019 | up 100.6% | rising |
| 105 | Isle of Man | 1.63 | 2019 | up 3.6% | flat |
| 106 | Mali | 0.3249 | 2019 | up 49.9% | volatile |
| 107 | Djibouti | 0.0059 | 2019 | — | volatile |
| 108 | Gibraltar | 0 | 2019 | — | volatile |
| 108 | Grenada | 0 | 2019 | — | volatile |
| 108 | Hong Kong | 0 | 2019 | down 100.0% | volatile |
| 108 | Liechtenstein | 0 | 2019 | down 100.0% | volatile |
| 108 | Lesotho | 0 | 2019 | — | volatile |
| 108 | French Polynesia | 0 | 2019 | up 100.0% | volatile |
| 108 | San Marino | 0 | 2019 | up 100.0% | rising |
| 108 | Turks and Caicos Islands | 0 | 2019 | — | volatile |
| 108 | Turkmenistan | 0 | 2019 | up 100.0% | volatile |
| 108 | Saint Vincent and the Grenadines | 0 | 2019 | — | volatile |
| 108 | British Virgin Islands | 0 | 2019 | — | volatile |
| 108 | Vanuatu | 0 | 2019 | — | volatile |
| 108 | Taiwan | 0 | 2019 | down 100.0% | volatile |
| 140 | Greenland | -0.0926 | 2019 | down 322.8% | volatile |
| 141 | Aruba | -0.1222 | 2019 | down 32.4% | volatile |
| 142 | Tuvalu | -0.1997 | 2019 | down 0.8% | rising |
| 143 | Barbados | -1.83 | 2019 | down 32.4% | volatile |
| 144 | Niue | -2.18 | 2019 | down 256.7% | volatile |
| 145 | Bahrain | -2.89 | 2019 | down 27.2% | falling |
| 146 | Kuwait | -2.98 | 2019 | up 87.1% | rising |
| 147 | Cook Islands | -3.11 | 2019 | up 14.1% | volatile |
| 148 | Cayman Islands | -3.7 | 2019 | down 291.7% | volatile |
| 149 | Malta | -4.53 | 2019 | down 908.9% | volatile |
| 150 | Dominica | -13.93 | 2019 | down 32.4% | volatile |
| 151 | Mauritius | -25.02 | 2019 | down 129.6% | volatile |
| 152 | Micronesia (country) | -34.93 | 2019 | down 18.1% | falling |
| 153 | American Samoa | -41.15 | 2019 | down 4.4% | rising |
| 154 | Cape Verde | -62.92 | 2019 | unchanged | volatile |
| 155 | Serbia | -71.11 | 2019 | up 99.8% | volatile |
| 156 | Lebanon | -78.51 | 2019 | down 1,194.7% | volatile |
| 157 | Iceland | -81.56 | 2019 | down 212.5% | volatile |
| 158 | Eswatini | -102.78 | 2019 | up 15.6% | falling |
| 159 | Tajikistan | -128.66 | 2019 | up 63.3% | volatile |
| 160 | Saint Lucia | -146.37 | 2019 | down 20.8% | falling |
| 161 | Guam | -158.4 | 2019 | — | volatile |
| 162 | United States Virgin Islands | -165.46 | 2019 | down 255.0% | volatile |
| 163 | Albania | -237.88 | 2019 | up 78.7% | volatile |
| 164 | Cyprus | -248.71 | 2019 | up 5.6% | volatile |
| 165 | Luxembourg | -277.72 | 2019 | up 46.3% | rising |
| 166 | Lithuania | -630.55 | 2019 | down 1,902.6% | volatile |
| 167 | Slovakia | -1,066 | 2019 | up 87.3% | rising |
| 168 | Mauritania | -1,082 | 2019 | down 373.4% | volatile |
| 169 | Bhutan | -1,317 | 2019 | up 80.1% | rising |
| 170 | Dominican Republic | -1,552 | 2019 | up 19.6% | volatile |
| 171 | Bosnia and Herzegovina | -1,732 | 2019 | down 601.0% | volatile |
| 172 | Uruguay | -1,760 | 2019 | up 82.3% | rising |
| 173 | Azerbaijan | -1,916 | 2019 | down 5.6% | falling |
| 174 | Morocco | -1,936 | 2019 | up 57.2% | rising |
| 175 | Switzerland | -2,241 | 2019 | up 4.9% | falling |
| 176 | Fiji | -2,542 | 2019 | down 0.7% | flat |
| 177 | Puerto Rico | -2,598 | 2019 | down 19.6% | falling |
| 178 | Latvia | -2,778 | 2019 | up 79.9% | volatile |
| 179 | Ireland | -2,794 | 2019 | down 31.1% | flat |
| 180 | Kazakhstan | -2,984 | 2019 | down 97.1% | volatile |
| 181 | Cuba | -3,046 | 2019 | up 70.1% | rising |
| 182 | Kyrgyzstan | -3,267 | 2019 | down 35,165.7% | volatile |
| 183 | Uzbekistan | -3,365 | 2019 | up 71.0% | volatile |
| 184 | Tunisia | -3,784 | 2019 | down 189.3% | volatile |
| 185 | Croatia | -4,342 | 2019 | down 423.0% | volatile |
| 186 | Czechia | -5,816 | 2019 | up 16.3% | rising |
| 187 | Austria | -7,122 | 2019 | down 15.5% | rising |
| 188 | Costa Rica | -7,261 | 2019 | down 1,508.5% | volatile |
| 189 | Kenya | -7,615 | 2019 | down 150.4% | volatile |
| 190 | New Zealand | -10,613 | 2019 | up 53.5% | rising |
| 191 | United Kingdom | -10,957 | 2019 | down 0.2% | rising |
| 192 | Ukraine | -11,973 | 2019 | up 51.0% | volatile |
| 193 | Vietnam | -12,042 | 2019 | down 164.4% | volatile |
| 194 | Italy | -12,816 | 2019 | up 63.1% | rising |
| 195 | Spain | -13,866 | 2019 | up 27.5% | volatile |
| 196 | Sweden | -16,316 | 2019 | down 46.7% | volatile |
| 197 | Norway | -18,922 | 2019 | up 17.1% | falling |
| 198 | Belarus | -21,502 | 2019 | up 14.1% | rising |
| 199 | Romania | -22,875 | 2019 | down 753.1% | volatile |
| 200 | Ghana | -24,904 | 2019 | down 154.3% | volatile |
| 201 | Turkey | -28,615 | 2019 | up 33.4% | falling |
| 202 | Germany | -29,479 | 2019 | down 60.8% | rising |
| 203 | India | -31,278 | 2019 | down 306.9% | volatile |
| 204 | Japan | -32,056 | 2019 | up 67.3% | rising |
| 205 | Poland | -32,913 | 2019 | up 54.0% | volatile |
| 206 | Bulgaria | -33,804 | 2019 | down 43.5% | falling |
| 207 | South Korea | -45,796 | 2019 | up 23.8% | falling |
| 208 | Chile | -57,691 | 2019 | down 60.3% | volatile |
| 209 | France | -61,933 | 2019 | up 6.8% | falling |
| 210 | United States | -230,207 | 2019 | up 42.6% | rising |
| 211 | Russia | -552,013 | 2019 | up 27.8% | falling |
| 212 | China | -649,678 | 2019 | down 96.0% | falling |
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 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).