Emission Totals - Emissions (CO2) - Land Use change 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
211
Highest
653,403
Brazil
Lowest
0
Niue
Median
26.07
Years covered
30
1990–2019
Data points
6,210
What the numbers show
Emission Totals - Emissions (CO2) - Land Use change is currently reported for 211 countries. The highest value is 653,403 in Brazil; the lowest is 0 in Niue.
The median across all reporting countries is 26.07, and the mean is 15,371.
Over the past decade 49 countries rose and 60 fell. The largest increase was in Sao Tome and Principe (up 2,284.6%), and the largest decrease in Belgium (down 100.0%).
Emission Totals - Emissions (CO2) - Land Use change: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 653,403 | 2019 | down 59.3% | falling |
| 2 | Democratic Republic of Congo | 600,790 | 2019 | up 63.6% | rising |
| 3 | Indonesia | 543,913 | 2019 | up 41.7% | volatile |
| 4 | Canada | 96,117 | 2019 | down 13.0% | falling |
| 5 | Peru | 92,893 | 2019 | up 19.2% | rising |
| 6 | Myanmar | 83,843 | 2019 | down 21.7% | falling |
| 7 | Colombia | 82,453 | 2019 | down 7.0% | falling |
| 8 | Bolivia | 67,701 | 2019 | up 18.1% | falling |
| 9 | United States | 59,727 | 2019 | — | volatile |
| 10 | Tanzania | 59,156 | 2019 | up 26.1% | rising |
| 11 | Argentina | 54,702 | 2019 | down 57.2% | flat |
| 12 | Mozambique | 53,193 | 2019 | up 7.9% | flat |
| 13 | Paraguay | 47,848 | 2019 | down 15.5% | rising |
| 14 | Nigeria | 45,991 | 2019 | down 0.0% | flat |
| 15 | Botswana | 40,514 | 2019 | unchanged | flat |
| 16 | Venezuela | 39,891 | 2019 | down 52.5% | falling |
| 17 | Malaysia | 37,352 | 2019 | down 23.4% | falling |
| 18 | Angola | 35,169 | 2019 | up 0.0% | rising |
| 19 | Russia | 34,534 | 2019 | — | volatile |
| 20 | Cameroon | 32,851 | 2019 | down 19.1% | falling |
| 21 | Cambodia | 31,230 | 2019 | up 580.3% | volatile |
| 22 | Ethiopia | 31,196 | 2019 | up 3.8% | rising |
| 23 | Ecuador | 26,042 | 2019 | down 10.4% | falling |
| 24 | Sweden | 23,845 | 2019 | down 34.9% | falling |
| 25 | Cote d'Ivoire | 23,656 | 2019 | up 0.0% | falling |
| 26 | Chad | 23,299 | 2019 | up 39.7% | rising |
| 27 | Sudan | 21,003 | 2019 | down 2.7% | flat |
| 28 | Nicaragua | 20,430 | 2019 | down 14.3% | falling |
| 29 | Somalia | 17,352 | 2019 | unchanged | flat |
| 30 | Mexico | 14,821 | 2019 | up 0.2% | falling |
| 31 | Central African Republic | 13,917 | 2019 | unchanged | flat |
| 32 | Liberia | 13,661 | 2019 | up 0.0% | flat |
| 33 | Laos | 13,079 | 2019 | up 4.0% | rising |
| 34 | Papua New Guinea | 11,466 | 2019 | up 240.5% | volatile |
| 35 | Thailand | 11,455 | 2019 | up 110.0% | volatile |
| 36 | Guinea | 11,440 | 2019 | up 11.1% | rising |
| 37 | Benin | 10,753 | 2019 | down 0.4% | falling |
| 38 | Namibia | 10,558 | 2019 | up 0.0% | flat |
| 39 | Uganda | 10,472 | 2019 | down 0.0% | flat |
| 40 | Guyana | 9,744 | 2019 | up 107.3% | volatile |
| 41 | Suriname | 8,573 | 2019 | up 170.1% | volatile |
| 42 | Malawi | 7,069 | 2019 | unchanged | flat |
| 43 | Pakistan | 6,995 | 2019 | down 1.0% | falling |
| 44 | Congo | 6,750 | 2019 | up 15.0% | rising |
| 45 | South Africa | 6,661 | 2019 | up 0.3% | flat |
| 46 | Serbia | 6,636 | 2019 | — | volatile |
| 47 | Burkina Faso | 6,505 | 2019 | down 11.1% | falling |
| 48 | Gabon | 5,668 | 2019 | up 134.8% | rising |
| 49 | Honduras | 5,524 | 2019 | up 3.1% | flat |
| 50 | Romania | 5,094 | 2019 | — | volatile |
| 51 | Belize | 5,037 | 2019 | up 64.2% | falling |
| 52 | Madagascar | 4,699 | 2019 | down 78.4% | falling |
| 53 | Guatemala | 4,404 | 2019 | down 72.2% | falling |
| 54 | Senegal | 3,975 | 2019 | up 0.7% | falling |
| 55 | Equatorial Guinea | 3,832 | 2019 | up 0.0% | falling |
| 56 | Panama | 3,825 | 2019 | down 10.5% | falling |
| 57 | Sierra Leone | 3,460 | 2019 | up 0.0% | flat |
| 58 | Bulgaria | 3,248 | 2019 | down 6.5% | falling |
| 59 | North Korea | 3,123 | 2019 | up 1.6% | falling |
| 60 | South Korea | 2,795 | 2019 | down 21.8% | rising |
| 61 | Denmark | 2,261 | 2019 | — | volatile |
| 62 | New Zealand | 1,795 | 2019 | up 1,116.3% | volatile |
| 63 | Japan | 1,720 | 2019 | up 118.7% | volatile |
| 64 | Guinea-Bissau | 1,491 | 2019 | down 0.1% | flat |
| 65 | Ukraine | 1,443 | 2019 | down 32.7% | volatile |
| 66 | Niger | 1,276 | 2019 | down 2.2% | volatile |
| 67 | Australia | 1,256 | 2019 | down 98.2% | volatile |
| 68 | Slovenia | 1,162 | 2019 | up 409.6% | volatile |
| 69 | El Salvador | 1,143 | 2019 | down 0.0% | flat |
| 70 | Togo | 1,141 | 2019 | down 0.5% | falling |
| 71 | Czechia | 958.87 | 2019 | up 50.4% | rising |
| 72 | Northern Mariana Islands | 909.6 | 2019 | up 522.1% | volatile |
| 73 | Spain | 807.81 | 2019 | — | volatile |
| 74 | Lithuania | 696.68 | 2019 | — | volatile |
| 75 | Mauritania | 668.48 | 2019 | up 5.9% | rising |
| 76 | Eritrea | 656.38 | 2019 | up 6.1% | rising |
| 77 | Algeria | 637.9 | 2019 | — | volatile |
| 78 | Haiti | 624.45 | 2019 | up 201.3% | volatile |
| 79 | Dominican Republic | 603.68 | 2019 | — | volatile |
| 80 | Sri Lanka | 598.46 | 2019 | down 45.0% | volatile |
| 81 | Latvia | 581.14 | 2019 | — | volatile |
| 82 | Gambia | 527.72 | 2019 | up 0.0% | flat |
| 83 | Switzerland | 511.02 | 2019 | up 6.0% | rising |
| 84 | East Timor | 463.23 | 2019 | unchanged | flat |
| 85 | Azerbaijan | 454.88 | 2019 | up 151.7% | volatile |
| 86 | Croatia | 453.61 | 2019 | up 85.6% | volatile |
| 87 | Iraq | 451.77 | 2019 | — | volatile |
| 88 | Hungary | 363.11 | 2019 | — | volatile |
| 89 | Eswatini | 347.68 | 2019 | down 1.4% | flat |
| 90 | Syria | 336.16 | 2019 | — | volatile |
| 91 | Austria | 225.94 | 2019 | up 44.6% | volatile |
| 92 | Sao Tome and Principe | 215.31 | 2019 | up 2,284.6% | volatile |
| 93 | Solomon Islands | 210.09 | 2019 | up 11.2% | falling |
| 94 | Egypt | 182.82 | 2019 | — | volatile |
| 95 | Mongolia | 154.27 | 2019 | down 86.2% | volatile |
| 96 | Samoa | 104.26 | 2019 | down 0.5% | flat |
| 97 | Trinidad and Tobago | 82.37 | 2019 | down 2.4% | falling |
| 98 | Israel | 81.77 | 2019 | — | volatile |
| 99 | Mali | 79.93 | 2019 | down 98.3% | volatile |
| 100 | Comoros | 59.86 | 2019 | unchanged | flat |
| 101 | Singapore | 49.65 | 2019 | — | volatile |
| 102 | Netherlands | 46.59 | 2019 | up 4.4% | volatile |
| 103 | Armenia | 36.07 | 2019 | down 82.6% | volatile |
| 104 | New Caledonia | 30.94 | 2019 | — | volatile |
| 105 | Cyprus | 30.34 | 2019 | up 161.1% | volatile |
| 106 | Brunei | 26.07 | 2019 | down 97.5% | volatile |
| 107 | Oman | 22.98 | 2019 | — | volatile |
| 108 | Tunisia | 16.21 | 2019 | up 39.7% | volatile |
| 109 | Vietnam | 10.27 | 2019 | up 0.0% | volatile |
| 110 | American Samoa | 9.23 | 2019 | up 15.0% | rising |
| 111 | Saint Vincent and the Grenadines | 3.75 | 2019 | unchanged | volatile |
| 112 | Mauritius | 2.69 | 2019 | down 97.1% | volatile |
| 113 | Kazakhstan | 2.62 | 2019 | down 99.8% | volatile |
| 114 | Greece | 0.0475 | 2019 | — | volatile |
| 115 | Aruba | 0 | 2019 | — | flat |
| 115 | Afghanistan | 0 | 2019 | — | flat |
| 115 | Albania | 0 | 2019 | — | flat |
| 115 | Andorra | 0 | 2019 | — | flat |
| 115 | United Arab Emirates | 0 | 2019 | — | flat |
| 115 | Antigua and Barbuda | 0 | 2019 | — | flat |
| 115 | Burundi | 0 | 2019 | — | volatile |
| 115 | Belgium | 0 | 2019 | down 100.0% | volatile |
| 115 | Bangladesh | 0 | 2019 | down 100.0% | volatile |
| 115 | Bahrain | 0 | 2019 | — | flat |
| 115 | Bahamas | 0 | 2019 | — | flat |
| 115 | Bosnia and Herzegovina | 0 | 2019 | — | flat |
| 115 | Belarus | 0 | 2019 | — | volatile |
| 115 | Bermuda | 0 | 2019 | — | flat |
| 115 | Barbados | 0 | 2019 | — | flat |
| 115 | Bhutan | 0 | 2019 | — | flat |
| 115 | Chile | 0 | 2019 | — | volatile |
| 115 | China | 0 | 2019 | — | flat |
| 115 | Cape Verde | 0 | 2019 | — | flat |
| 115 | Costa Rica | 0 | 2019 | down 100.0% | volatile |
| 115 | Cuba | 0 | 2019 | — | volatile |
| 115 | Cayman Islands | 0 | 2019 | down 100.0% | volatile |
| 115 | Germany | 0 | 2019 | — | flat |
| 115 | Dominica | 0 | 2019 | — | volatile |
| 115 | Estonia | 0 | 2019 | — | flat |
| 115 | Finland | 0 | 2019 | down 100.0% | volatile |
| 115 | Fiji | 0 | 2019 | — | flat |
| 115 | France | 0 | 2019 | — | flat |
| 115 | Faroe Islands | 0 | 2019 | — | flat |
| 115 | Micronesia (country) | 0 | 2019 | down 100.0% | volatile |
| 115 | United Kingdom | 0 | 2019 | — | flat |
| 115 | Georgia | 0 | 2019 | — | flat |
| 115 | Ghana | 0 | 2019 | down 100.0% | volatile |
| 115 | Gibraltar | 0 | 2019 | — | flat |
| 115 | Grenada | 0 | 2019 | — | flat |
| 115 | Greenland | 0 | 2019 | — | flat |
| 115 | Guam | 0 | 2019 | — | flat |
| 115 | Hong Kong | 0 | 2019 | — | flat |
| 115 | Isle of Man | 0 | 2019 | — | flat |
| 115 | India | 0 | 2019 | down 100.0% | volatile |
| 115 | Ireland | 0 | 2019 | down 100.0% | volatile |
| 115 | Iran | 0 | 2019 | — | flat |
| 115 | Iceland | 0 | 2019 | — | flat |
| 115 | Italy | 0 | 2019 | — | flat |
| 115 | Jamaica | 0 | 2019 | — | volatile |
| 115 | Jordan | 0 | 2019 | — | flat |
| 115 | Kenya | 0 | 2019 | down 100.0% | volatile |
| 115 | Kyrgyzstan | 0 | 2019 | — | flat |
| 115 | Kiribati | 0 | 2019 | — | flat |
| 115 | Saint Kitts and Nevis | 0 | 2019 | — | flat |
| 115 | Kuwait | 0 | 2019 | — | flat |
| 115 | Lebanon | 0 | 2019 | down 100.0% | volatile |
| 115 | Libya | 0 | 2019 | — | flat |
| 115 | Saint Lucia | 0 | 2019 | down 100.0% | volatile |
| 115 | Liechtenstein | 0 | 2019 | down 100.0% | volatile |
| 115 | Lesotho | 0 | 2019 | — | flat |
| 115 | Luxembourg | 0 | 2019 | — | volatile |
| 115 | Macao | 0 | 2019 | — | flat |
| 115 | Morocco | 0 | 2019 | down 100.0% | volatile |
| 115 | Monaco | 0 | 2019 | — | flat |
| 115 | Moldova | 0 | 2019 | down 100.0% | volatile |
| 115 | Maldives | 0 | 2019 | — | flat |
| 115 | Marshall Islands | 0 | 2019 | — | flat |
| 115 | North Macedonia | 0 | 2019 | — | flat |
| 115 | Malta | 0 | 2019 | — | flat |
| 115 | Montenegro | 0 | 2019 | — | flat |
| 115 | Norway | 0 | 2019 | — | volatile |
| 115 | Nepal | 0 | 2019 | — | flat |
| 115 | Nauru | 0 | 2019 | — | flat |
| 115 | Philippines | 0 | 2019 | down 100.0% | volatile |
| 115 | Palau | 0 | 2019 | — | flat |
| 115 | Poland | 0 | 2019 | — | flat |
| 115 | Puerto Rico | 0 | 2019 | — | flat |
| 115 | Portugal | 0 | 2019 | down 100.0% | volatile |
| 115 | Palestine | 0 | 2019 | — | flat |
| 115 | French Polynesia | 0 | 2019 | — | flat |
| 115 | Qatar | 0 | 2019 | — | flat |
| 115 | Rwanda | 0 | 2019 | down 100.0% | volatile |
| 115 | Saudi Arabia | 0 | 2019 | — | flat |
| 115 | San Marino | 0 | 2019 | — | flat |
| 115 | South Sudan | 0 | 2019 | — | flat |
| 115 | Slovakia | 0 | 2019 | down 100.0% | volatile |
| 115 | Seychelles | 0 | 2019 | — | flat |
| 115 | Turks and Caicos Islands | 0 | 2019 | — | flat |
| 115 | Tajikistan | 0 | 2019 | — | flat |
| 115 | Turkmenistan | 0 | 2019 | — | flat |
| 115 | Tonga | 0 | 2019 | — | flat |
| 115 | Turkey | 0 | 2019 | — | flat |
| 115 | Tuvalu | 0 | 2019 | — | flat |
| 115 | Uruguay | 0 | 2019 | — | flat |
| 115 | Uzbekistan | 0 | 2019 | — | volatile |
| 115 | British Virgin Islands | 0 | 2019 | — | flat |
| 115 | United States Virgin Islands | 0 | 2019 | down 100.0% | volatile |
| 115 | Vanuatu | 0 | 2019 | — | flat |
| 115 | Taiwan | 0 | 2019 | — | flat |
| 115 | Cook Islands | 0 | 2019 | — | flat |
| 115 | Niue | 0 | 2019 | down 100.0% | volatile |
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).