Emission Totals - Emissions (CO2eq) (AR5) - 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...
What the numbers show
Emission Totals - Emissions (CO2eq) (AR5) - Land Use change is currently reported for 211 countries. The highest value is 663,268 in Brazil; the lowest is 0 in Niue.
The median across all reporting countries is 46.59, and the mean is 16,357.
Over the past decade 50 countries rose and 71 fell. The largest increase was in United States (up 2,620,460.0%), and the largest decrease in Belgium (down 100.0%).
Emission Totals - Emissions (CO2eq) (AR5) - Land Use change: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 663,268 | 2019 | down 58.7% | falling |
| 2 | Indonesia | 657,566 | 2019 | up 33.5% | volatile |
| 3 | Democratic Republic of Congo | 623,745 | 2019 | up 59.3% | rising |
| 4 | Canada | 96,117 | 2019 | down 13.0% | falling |
| 5 | Peru | 93,002 | 2019 | up 19.2% | rising |
| 6 | Myanmar | 89,332 | 2019 | down 24.1% | falling |
| 7 | Colombia | 82,642 | 2019 | down 6.9% | falling |
| 8 | Bolivia | 76,773 | 2019 | up 30.6% | falling |
| 9 | Tanzania | 63,114 | 2019 | up 21.4% | rising |
| 10 | United States | 59,728 | 2019 | up 2,620,460.0% | volatile |
| 11 | Mozambique | 57,400 | 2019 | up 5.5% | rising |
| 12 | Argentina | 54,768 | 2019 | down 57.2% | flat |
| 13 | Paraguay | 48,225 | 2019 | down 15.0% | rising |
| 14 | Angola | 47,880 | 2019 | up 0.3% | rising |
| 15 | Nigeria | 46,146 | 2019 | up 0.0% | falling |
| 16 | Botswana | 40,514 | 2019 | unchanged | flat |
| 17 | Venezuela | 40,439 | 2019 | down 51.9% | falling |
| 18 | Malaysia | 39,445 | 2019 | down 27.6% | falling |
| 19 | Russia | 34,534 | 2019 | β | volatile |
| 20 | Cameroon | 33,745 | 2019 | down 18.4% | falling |
| 21 | Cambodia | 32,786 | 2019 | up 339.6% | volatile |
| 22 | Ethiopia | 31,401 | 2019 | up 3.6% | rising |
| 23 | Central African Republic | 26,278 | 2019 | down 4.9% | rising |
| 24 | Ecuador | 26,044 | 2019 | down 10.4% | falling |
| 25 | Chad | 23,976 | 2019 | up 39.1% | rising |
| 26 | Sweden | 23,845 | 2019 | down 34.9% | falling |
| 27 | Cote d'Ivoire | 23,661 | 2019 | down 0.1% | falling |
| 28 | Sudan | 21,003 | 2019 | down 2.7% | flat |
| 29 | Nicaragua | 20,528 | 2019 | down 13.9% | falling |
| 30 | Somalia | 17,352 | 2019 | unchanged | flat |
| 31 | Mexico | 15,375 | 2019 | down 0.6% | falling |
| 32 | Liberia | 13,870 | 2019 | down 2.9% | flat |
| 33 | Laos | 13,809 | 2019 | up 4.1% | rising |
| 34 | Thailand | 12,790 | 2019 | up 72.3% | falling |
| 35 | Papua New Guinea | 11,515 | 2019 | up 238.7% | volatile |
| 36 | Guinea | 11,491 | 2019 | up 9.8% | rising |
| 37 | Benin | 10,810 | 2019 | down 0.3% | falling |
| 38 | Namibia | 10,558 | 2019 | up 0.0% | flat |
| 39 | Uganda | 10,503 | 2019 | up 0.1% | flat |
| 40 | Guyana | 9,782 | 2019 | up 107.7% | volatile |
| 41 | Suriname | 8,587 | 2019 | up 170.0% | volatile |
| 42 | Malawi | 7,273 | 2019 | up 1.0% | flat |
| 43 | Congo | 7,150 | 2019 | up 16.8% | rising |
| 44 | Pakistan | 6,995 | 2019 | down 1.0% | falling |
| 45 | South Africa | 6,664 | 2019 | up 0.4% | flat |
| 46 | Serbia | 6,636 | 2019 | β | volatile |
| 47 | Burkina Faso | 6,505 | 2019 | down 11.1% | falling |
| 48 | Gabon | 5,711 | 2019 | up 133.8% | rising |
| 49 | Honduras | 5,709 | 2019 | up 1.7% | flat |
| 50 | Belize | 5,104 | 2019 | up 65.2% | falling |
| 51 | Romania | 5,094 | 2019 | β | volatile |
| 52 | Madagascar | 4,861 | 2019 | down 77.9% | falling |
| 53 | Guatemala | 4,518 | 2019 | down 72.1% | falling |
| 54 | Senegal | 4,010 | 2019 | down 1.1% | falling |
| 55 | Panama | 3,847 | 2019 | down 10.3% | falling |
| 56 | Equatorial Guinea | 3,832 | 2019 | up 0.0% | falling |
| 57 | Sierra Leone | 3,487 | 2019 | down 0.6% | 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 | β | volatile |
| 62 | New Zealand | 1,795 | 2019 | up 1,116.3% | volatile |
| 63 | Japan | 1,720 | 2019 | up 118.7% | volatile |
| 64 | Guinea-Bissau | 1,636 | 2019 | down 6.6% | flat |
| 65 | Ukraine | 1,443 | 2019 | down 32.7% | volatile |
| 66 | Australia | 1,307 | 2019 | down 98.1% | volatile |
| 67 | Niger | 1,276 | 2019 | down 2.2% | volatile |
| 68 | Slovenia | 1,162 | 2019 | up 409.6% | volatile |
| 69 | Togo | 1,148 | 2019 | down 0.4% | falling |
| 70 | El Salvador | 1,146 | 2019 | up 0.3% | flat |
| 71 | Nepal | 1,131 | 2019 | up 70.4% | volatile |
| 72 | Czechia | 958.87 | 2019 | up 50.4% | rising |
| 73 | Northern Mariana Islands | 909.6 | 2019 | up 522.1% | volatile |
| 74 | Spain | 807.81 | 2019 | β | volatile |
| 75 | Lithuania | 696.68 | 2019 | β | volatile |
| 76 | Mauritania | 668.48 | 2019 | up 5.9% | rising |
| 77 | Eritrea | 656.38 | 2019 | up 6.1% | rising |
| 78 | Algeria | 637.9 | 2019 | β | volatile |
| 79 | Haiti | 624.45 | 2019 | up 201.3% | volatile |
| 80 | Dominican Republic | 605.31 | 2019 | up 61,938.1% | volatile |
| 81 | Sri Lanka | 598.46 | 2019 | down 45.0% | volatile |
| 82 | Latvia | 581.14 | 2019 | β | volatile |
| 83 | Gambia | 527.72 | 2019 | up 0.0% | falling |
| 84 | Switzerland | 511.02 | 2019 | up 6.0% | rising |
| 85 | South Sudan | 484.45 | 2019 | down 50.7% | falling |
| 86 | East Timor | 464.75 | 2019 | down 0.6% | flat |
| 87 | Azerbaijan | 454.88 | 2019 | up 151.7% | volatile |
| 88 | Croatia | 453.61 | 2019 | up 85.6% | volatile |
| 89 | Iraq | 451.77 | 2019 | β | volatile |
| 90 | India | 405.86 | 2019 | down 98.4% | volatile |
| 91 | Hungary | 363.11 | 2019 | β | volatile |
| 92 | Eswatini | 347.68 | 2019 | down 1.4% | flat |
| 93 | Syria | 336.16 | 2019 | β | volatile |
| 94 | Austria | 225.94 | 2019 | up 44.6% | volatile |
| 95 | Sao Tome and Principe | 215.31 | 2019 | up 2,284.6% | volatile |
| 96 | Solomon Islands | 210.09 | 2019 | up 11.2% | falling |
| 97 | Egypt | 182.82 | 2019 | β | volatile |
| 98 | Mongolia | 154.27 | 2019 | down 86.2% | volatile |
| 99 | Vietnam | 116.56 | 2019 | down 11.3% | volatile |
| 100 | Samoa | 104.26 | 2019 | down 0.5% | flat |
| 101 | Trinidad and Tobago | 83.89 | 2019 | down 0.8% | falling |
| 102 | Israel | 81.77 | 2019 | β | volatile |
| 103 | Mali | 80.26 | 2019 | down 98.3% | volatile |
| 104 | Comoros | 59.96 | 2019 | down 0.9% | flat |
| 105 | Singapore | 49.65 | 2019 | β | volatile |
| 106 | Netherlands | 46.59 | 2019 | up 4.4% | volatile |
| 107 | New Caledonia | 39.61 | 2019 | β | volatile |
| 108 | Armenia | 36.07 | 2019 | down 82.6% | volatile |
| 109 | Costa Rica | 35.85 | 2019 | down 87.1% | volatile |
| 110 | Cyprus | 30.34 | 2019 | up 161.1% | volatile |
| 111 | Brunei | 28.53 | 2019 | down 97.3% | volatile |
| 112 | Oman | 22.98 | 2019 | β | volatile |
| 113 | Ghana | 21.33 | 2019 | down 99.9% | volatile |
| 114 | Bangladesh | 21.26 | 2019 | down 96.9% | volatile |
| 115 | Philippines | 20.69 | 2019 | down 99.9% | volatile |
| 116 | Tunisia | 16.21 | 2019 | up 39.7% | volatile |
| 117 | Bahamas | 14.33 | 2019 | down 31.6% | volatile |
| 118 | American Samoa | 9.23 | 2019 | up 15.0% | rising |
| 119 | Saint Vincent and the Grenadines | 3.75 | 2019 | unchanged | volatile |
| 120 | Cuba | 3.04 | 2019 | down 96.2% | volatile |
| 121 | Mauritius | 2.69 | 2019 | down 97.1% | volatile |
| 122 | Kazakhstan | 2.62 | 2019 | down 99.8% | volatile |
| 123 | Fiji | 0.8671 | 2019 | down 96.2% | volatile |
| 124 | Bhutan | 0.1086 | 2019 | down 97.8% | volatile |
| 125 | Kenya | 0.1083 | 2019 | down 100.0% | volatile |
| 126 | Greece | 0.0475 | 2019 | β | volatile |
| 127 | Aruba | 0 | 2019 | β | flat |
| 127 | Afghanistan | 0 | 2019 | β | flat |
| 127 | Albania | 0 | 2019 | β | flat |
| 127 | Andorra | 0 | 2019 | β | flat |
| 127 | United Arab Emirates | 0 | 2019 | β | flat |
| 127 | Antigua and Barbuda | 0 | 2019 | β | flat |
| 127 | Burundi | 0 | 2019 | β | volatile |
| 127 | Belgium | 0 | 2019 | down 100.0% | volatile |
| 127 | Bahrain | 0 | 2019 | β | flat |
| 127 | Bosnia and Herzegovina | 0 | 2019 | β | flat |
| 127 | Belarus | 0 | 2019 | β | volatile |
| 127 | Bermuda | 0 | 2019 | β | flat |
| 127 | Barbados | 0 | 2019 | β | flat |
| 127 | Chile | 0 | 2019 | β | volatile |
| 127 | China | 0 | 2019 | β | volatile |
| 127 | Cape Verde | 0 | 2019 | β | flat |
| 127 | Cayman Islands | 0 | 2019 | down 100.0% | volatile |
| 127 | Germany | 0 | 2019 | β | flat |
| 127 | Dominica | 0 | 2019 | β | volatile |
| 127 | Estonia | 0 | 2019 | β | flat |
| 127 | Finland | 0 | 2019 | down 100.0% | volatile |
| 127 | France | 0 | 2019 | β | flat |
| 127 | Faroe Islands | 0 | 2019 | β | flat |
| 127 | Micronesia (country) | 0 | 2019 | down 100.0% | volatile |
| 127 | United Kingdom | 0 | 2019 | β | flat |
| 127 | Georgia | 0 | 2019 | β | flat |
| 127 | Gibraltar | 0 | 2019 | β | flat |
| 127 | Grenada | 0 | 2019 | β | volatile |
| 127 | Greenland | 0 | 2019 | β | flat |
| 127 | Guam | 0 | 2019 | β | flat |
| 127 | Hong Kong | 0 | 2019 | β | flat |
| 127 | Isle of Man | 0 | 2019 | β | flat |
| 127 | Ireland | 0 | 2019 | down 100.0% | volatile |
| 127 | Iran | 0 | 2019 | β | flat |
| 127 | Iceland | 0 | 2019 | β | flat |
| 127 | Italy | 0 | 2019 | β | flat |
| 127 | Jamaica | 0 | 2019 | β | volatile |
| 127 | Jordan | 0 | 2019 | β | flat |
| 127 | Kyrgyzstan | 0 | 2019 | β | flat |
| 127 | Kiribati | 0 | 2019 | β | flat |
| 127 | Saint Kitts and Nevis | 0 | 2019 | β | flat |
| 127 | Kuwait | 0 | 2019 | β | flat |
| 127 | Lebanon | 0 | 2019 | down 100.0% | volatile |
| 127 | Libya | 0 | 2019 | β | flat |
| 127 | Saint Lucia | 0 | 2019 | down 100.0% | volatile |
| 127 | Liechtenstein | 0 | 2019 | down 100.0% | volatile |
| 127 | Lesotho | 0 | 2019 | β | flat |
| 127 | Luxembourg | 0 | 2019 | β | volatile |
| 127 | Macao | 0 | 2019 | β | flat |
| 127 | Morocco | 0 | 2019 | down 100.0% | volatile |
| 127 | Monaco | 0 | 2019 | β | flat |
| 127 | Moldova | 0 | 2019 | down 100.0% | volatile |
| 127 | Maldives | 0 | 2019 | β | flat |
| 127 | Marshall Islands | 0 | 2019 | β | flat |
| 127 | North Macedonia | 0 | 2019 | β | flat |
| 127 | Malta | 0 | 2019 | β | flat |
| 127 | Montenegro | 0 | 2019 | β | flat |
| 127 | Norway | 0 | 2019 | β | volatile |
| 127 | Nauru | 0 | 2019 | β | flat |
| 127 | Palau | 0 | 2019 | β | flat |
| 127 | Poland | 0 | 2019 | β | flat |
| 127 | Puerto Rico | 0 | 2019 | β | volatile |
| 127 | Portugal | 0 | 2019 | down 100.0% | volatile |
| 127 | Palestine | 0 | 2019 | β | flat |
| 127 | French Polynesia | 0 | 2019 | β | volatile |
| 127 | Qatar | 0 | 2019 | β | flat |
| 127 | Rwanda | 0 | 2019 | down 100.0% | volatile |
| 127 | Saudi Arabia | 0 | 2019 | β | flat |
| 127 | San Marino | 0 | 2019 | β | flat |
| 127 | Slovakia | 0 | 2019 | down 100.0% | volatile |
| 127 | Seychelles | 0 | 2019 | β | flat |
| 127 | Turks and Caicos Islands | 0 | 2019 | β | volatile |
| 127 | Tajikistan | 0 | 2019 | β | flat |
| 127 | Turkmenistan | 0 | 2019 | β | flat |
| 127 | Tonga | 0 | 2019 | β | flat |
| 127 | Turkey | 0 | 2019 | β | flat |
| 127 | Tuvalu | 0 | 2019 | β | flat |
| 127 | Uruguay | 0 | 2019 | β | flat |
| 127 | Uzbekistan | 0 | 2019 | β | volatile |
| 127 | British Virgin Islands | 0 | 2019 | β | volatile |
| 127 | United States Virgin Islands | 0 | 2019 | down 100.0% | volatile |
| 127 | Vanuatu | 0 | 2019 | β | volatile |
| 127 | Taiwan | 0 | 2019 | β | flat |
| 127 | Cook Islands | 0 | 2019 | β | flat |
| 127 | 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 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).