Emission Totals - Emissions (N2O) - 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
208
Highest
40.16
Democratic Republic of Congo
Lowest
0
Niue
Median
0
Years covered
30
1990–2019
Data points
6,120
What the numbers show
Emission Totals - Emissions (N2O) - Land Use change is currently reported for 208 countries. The highest value is 40.16 in Democratic Republic of Congo; the lowest is 0 in Niue.
The median across all reporting countries is 0, and the mean is 0.7888.
Over the past decade 34 countries rose and 35 fell. The largest increase was in El Salvador (up 3,300.0%), and the largest decrease in Burkina Faso (down 100.0%).
Emission Totals - Emissions (N2O) - Land Use change: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Democratic Republic of Congo | 40.16 | 2019 | down 5.5% | rising |
| 2 | Angola | 22.24 | 2019 | up 1.2% | rising |
| 3 | Central African Republic | 21.62 | 2019 | down 9.8% | rising |
| 4 | Brazil | 17.26 | 2019 | up 361.4% | falling |
| 5 | Bolivia | 15.87 | 2019 | up 509.5% | volatile |
| 6 | Myanmar | 8.21 | 2019 | down 50.8% | rising |
| 7 | Mozambique | 7.36 | 2019 | down 17.9% | rising |
| 8 | Tanzania | 6.92 | 2019 | down 21.9% | rising |
| 9 | Indonesia | 3.94 | 2019 | up 14.6% | volatile |
| 10 | Cambodia | 2.72 | 2019 | down 45.7% | rising |
| 11 | Thailand | 2.33 | 2019 | down 32.1% | rising |
| 12 | Nepal | 1.98 | 2019 | up 70.4% | volatile |
| 13 | Cameroon | 1.56 | 2019 | up 22.7% | falling |
| 14 | Laos | 1.28 | 2019 | up 4.8% | volatile |
| 15 | Chad | 1.18 | 2019 | up 18.8% | rising |
| 16 | Mexico | 0.9685 | 2019 | down 19.5% | volatile |
| 17 | Venezuela | 0.9572 | 2019 | up 898.1% | volatile |
| 18 | South Sudan | 0.8474 | 2019 | down 50.7% | falling |
| 19 | India | 0.71 | 2019 | down 81.9% | volatile |
| 20 | Congo | 0.6994 | 2019 | up 59.6% | rising |
| 21 | Paraguay | 0.6596 | 2019 | up 375.9% | volatile |
| 22 | Liberia | 0.3656 | 2019 | down 66.5% | volatile |
| 23 | Ethiopia | 0.3582 | 2019 | down 13.9% | rising |
| 24 | Malawi | 0.3576 | 2019 | up 53.4% | volatile |
| 25 | Colombia | 0.332 | 2019 | up 151.9% | volatile |
| 26 | Honduras | 0.3226 | 2019 | down 28.7% | volatile |
| 27 | Madagascar | 0.2831 | 2019 | down 30.7% | rising |
| 28 | Nigeria | 0.2697 | 2019 | up 5.2% | volatile |
| 29 | Guinea-Bissau | 0.252 | 2019 | down 44.2% | rising |
| 30 | Guatemala | 0.1993 | 2019 | down 70.0% | volatile |
| 31 | Peru | 0.1904 | 2019 | up 146.3% | volatile |
| 32 | Vietnam | 0.1797 | 2019 | down 12.6% | flat |
| 33 | Nicaragua | 0.1706 | 2019 | up 452.1% | volatile |
| 34 | Belize | 0.117 | 2019 | up 216.2% | volatile |
| 35 | Argentina | 0.1147 | 2019 | down 71.9% | volatile |
| 36 | Benin | 0.1 | 2019 | up 22.2% | volatile |
| 37 | Guinea | 0.0889 | 2019 | down 69.9% | falling |
| 38 | Australia | 0.088 | 2019 | down 68.8% | volatile |
| 39 | Papua New Guinea | 0.0868 | 2019 | up 54.2% | volatile |
| 40 | Gabon | 0.0767 | 2019 | up 51.6% | rising |
| 41 | Malaysia | 0.0741 | 2019 | down 71.0% | volatile |
| 42 | Guyana | 0.0661 | 2019 | up 404.6% | volatile |
| 43 | Costa Rica | 0.0627 | 2019 | up 1,040.0% | volatile |
| 44 | Senegal | 0.0612 | 2019 | down 66.8% | volatile |
| 45 | Uganda | 0.0545 | 2019 | up 83.5% | volatile |
| 46 | Sierra Leone | 0.0481 | 2019 | down 42.3% | volatile |
| 47 | Panama | 0.0398 | 2019 | up 39.2% | volatile |
| 48 | Ghana | 0.0373 | 2019 | up 532.2% | volatile |
| 49 | Bangladesh | 0.0372 | 2019 | down 88.4% | volatile |
| 50 | Philippines | 0.0362 | 2019 | up 42.5% | volatile |
| 51 | Bahamas | 0.0251 | 2019 | down 31.4% | volatile |
| 52 | Suriname | 0.0242 | 2019 | up 137.3% | volatile |
| 53 | New Caledonia | 0.0152 | 2019 | — | volatile |
| 54 | Togo | 0.0121 | 2019 | up 16.3% | volatile |
| 55 | Cote d'Ivoire | 0.0097 | 2019 | down 73.9% | volatile |
| 56 | El Salvador | 0.0068 | 2019 | up 3,300.0% | volatile |
| 57 | Cuba | 0.0053 | 2019 | down 96.2% | volatile |
| 58 | South Africa | 0.0051 | 2019 | up 537.5% | volatile |
| 59 | Ecuador | 0.003 | 2019 | up 400.0% | volatile |
| 60 | Dominican Republic | 0.0028 | 2019 | up 64.7% | volatile |
| 61 | East Timor | 0.0027 | 2019 | down 65.4% | volatile |
| 61 | Trinidad and Tobago | 0.0027 | 2019 | up 575.0% | volatile |
| 63 | Fiji | 0.0015 | 2019 | down 96.3% | volatile |
| 64 | United States | 0.0009 | 2019 | down 77.5% | volatile |
| 65 | Mali | 0.0006 | 2019 | up 50.0% | volatile |
| 66 | Brunei | 0.0002 | 2019 | down 81.8% | volatile |
| 66 | Bhutan | 0.0002 | 2019 | down 97.7% | volatile |
| 66 | Comoros | 0.0002 | 2019 | down 81.8% | volatile |
| 66 | Kenya | 0.0002 | 2019 | — | volatile |
| 70 | Aruba | 0 | 2019 | — | flat |
| 70 | Afghanistan | 0 | 2019 | — | flat |
| 70 | Albania | 0 | 2019 | — | flat |
| 70 | Andorra | 0 | 2019 | — | flat |
| 70 | United Arab Emirates | 0 | 2019 | — | flat |
| 70 | Armenia | 0 | 2019 | — | flat |
| 70 | American Samoa | 0 | 2019 | — | flat |
| 70 | Antigua and Barbuda | 0 | 2019 | — | flat |
| 70 | Austria | 0 | 2019 | — | flat |
| 70 | Azerbaijan | 0 | 2019 | — | flat |
| 70 | Burundi | 0 | 2019 | — | volatile |
| 70 | Belgium | 0 | 2019 | — | flat |
| 70 | Burkina Faso | 0 | 2019 | down 100.0% | volatile |
| 70 | Bulgaria | 0 | 2019 | — | flat |
| 70 | Bahrain | 0 | 2019 | — | flat |
| 70 | Bosnia and Herzegovina | 0 | 2019 | — | flat |
| 70 | Belarus | 0 | 2019 | — | flat |
| 70 | Bermuda | 0 | 2019 | — | flat |
| 70 | Barbados | 0 | 2019 | — | flat |
| 70 | Botswana | 0 | 2019 | — | flat |
| 70 | Canada | 0 | 2019 | — | flat |
| 70 | Switzerland | 0 | 2019 | — | flat |
| 70 | Chile | 0 | 2019 | — | flat |
| 70 | China | 0 | 2019 | — | volatile |
| 70 | Cape Verde | 0 | 2019 | — | flat |
| 70 | Cayman Islands | 0 | 2019 | — | flat |
| 70 | Cyprus | 0 | 2019 | — | flat |
| 70 | Czechia | 0 | 2019 | — | flat |
| 70 | Germany | 0 | 2019 | — | flat |
| 70 | Dominica | 0 | 2019 | — | flat |
| 70 | Denmark | 0 | 2019 | — | flat |
| 70 | Algeria | 0 | 2019 | — | flat |
| 70 | Egypt | 0 | 2019 | — | flat |
| 70 | Eritrea | 0 | 2019 | — | flat |
| 70 | Spain | 0 | 2019 | — | flat |
| 70 | Estonia | 0 | 2019 | — | flat |
| 70 | Finland | 0 | 2019 | — | flat |
| 70 | France | 0 | 2019 | — | flat |
| 70 | Faroe Islands | 0 | 2019 | — | flat |
| 70 | Micronesia (country) | 0 | 2019 | — | flat |
| 70 | United Kingdom | 0 | 2019 | — | flat |
| 70 | Georgia | 0 | 2019 | — | flat |
| 70 | Gibraltar | 0 | 2019 | — | flat |
| 70 | Gambia | 0 | 2019 | — | volatile |
| 70 | Equatorial Guinea | 0 | 2019 | — | volatile |
| 70 | Greece | 0 | 2019 | — | flat |
| 70 | Grenada | 0 | 2019 | — | flat |
| 70 | Greenland | 0 | 2019 | — | flat |
| 70 | Guam | 0 | 2019 | — | flat |
| 70 | Hong Kong | 0 | 2019 | — | flat |
| 70 | Croatia | 0 | 2019 | — | flat |
| 70 | Haiti | 0 | 2019 | — | volatile |
| 70 | Hungary | 0 | 2019 | — | flat |
| 70 | Isle of Man | 0 | 2019 | — | flat |
| 70 | Ireland | 0 | 2019 | — | flat |
| 70 | Iran | 0 | 2019 | — | flat |
| 70 | Iraq | 0 | 2019 | — | flat |
| 70 | Iceland | 0 | 2019 | — | flat |
| 70 | Israel | 0 | 2019 | — | flat |
| 70 | Italy | 0 | 2019 | — | flat |
| 70 | Jamaica | 0 | 2019 | — | volatile |
| 70 | Jordan | 0 | 2019 | — | flat |
| 70 | Japan | 0 | 2019 | — | flat |
| 70 | Kazakhstan | 0 | 2019 | — | flat |
| 70 | Kyrgyzstan | 0 | 2019 | — | flat |
| 70 | Kiribati | 0 | 2019 | — | flat |
| 70 | Saint Kitts and Nevis | 0 | 2019 | — | flat |
| 70 | South Korea | 0 | 2019 | — | flat |
| 70 | Kuwait | 0 | 2019 | — | flat |
| 70 | Lebanon | 0 | 2019 | — | flat |
| 70 | Libya | 0 | 2019 | — | flat |
| 70 | Saint Lucia | 0 | 2019 | — | flat |
| 70 | Sri Lanka | 0 | 2019 | down 100.0% | volatile |
| 70 | Lesotho | 0 | 2019 | — | flat |
| 70 | Lithuania | 0 | 2019 | — | flat |
| 70 | Luxembourg | 0 | 2019 | — | flat |
| 70 | Latvia | 0 | 2019 | — | flat |
| 70 | Macao | 0 | 2019 | — | flat |
| 70 | Morocco | 0 | 2019 | — | flat |
| 70 | Moldova | 0 | 2019 | — | flat |
| 70 | Maldives | 0 | 2019 | — | flat |
| 70 | Marshall Islands | 0 | 2019 | — | flat |
| 70 | North Macedonia | 0 | 2019 | — | flat |
| 70 | Malta | 0 | 2019 | — | flat |
| 70 | Montenegro | 0 | 2019 | — | flat |
| 70 | Mongolia | 0 | 2019 | — | flat |
| 70 | Northern Mariana Islands | 0 | 2019 | — | flat |
| 70 | Mauritania | 0 | 2019 | — | flat |
| 70 | Mauritius | 0 | 2019 | — | flat |
| 70 | Namibia | 0 | 2019 | — | flat |
| 70 | Niger | 0 | 2019 | — | flat |
| 70 | Netherlands | 0 | 2019 | — | flat |
| 70 | Norway | 0 | 2019 | — | flat |
| 70 | Nauru | 0 | 2019 | — | flat |
| 70 | New Zealand | 0 | 2019 | — | flat |
| 70 | Oman | 0 | 2019 | — | flat |
| 70 | Pakistan | 0 | 2019 | — | flat |
| 70 | Palau | 0 | 2019 | — | flat |
| 70 | Poland | 0 | 2019 | — | flat |
| 70 | Puerto Rico | 0 | 2019 | — | volatile |
| 70 | North Korea | 0 | 2019 | — | flat |
| 70 | Portugal | 0 | 2019 | — | flat |
| 70 | Palestine | 0 | 2019 | — | flat |
| 70 | French Polynesia | 0 | 2019 | — | flat |
| 70 | Qatar | 0 | 2019 | — | flat |
| 70 | Romania | 0 | 2019 | — | flat |
| 70 | Russia | 0 | 2019 | — | flat |
| 70 | Rwanda | 0 | 2019 | — | flat |
| 70 | Saudi Arabia | 0 | 2019 | — | flat |
| 70 | Sudan | 0 | 2019 | — | volatile |
| 70 | Singapore | 0 | 2019 | — | volatile |
| 70 | Solomon Islands | 0 | 2019 | — | volatile |
| 70 | Somalia | 0 | 2019 | — | flat |
| 70 | Serbia | 0 | 2019 | — | flat |
| 70 | Sao Tome and Principe | 0 | 2019 | — | flat |
| 70 | Slovakia | 0 | 2019 | — | flat |
| 70 | Slovenia | 0 | 2019 | — | flat |
| 70 | Sweden | 0 | 2019 | — | flat |
| 70 | Eswatini | 0 | 2019 | — | flat |
| 70 | Seychelles | 0 | 2019 | — | flat |
| 70 | Syria | 0 | 2019 | — | flat |
| 70 | Turks and Caicos Islands | 0 | 2019 | — | volatile |
| 70 | Tajikistan | 0 | 2019 | — | flat |
| 70 | Turkmenistan | 0 | 2019 | — | flat |
| 70 | Tonga | 0 | 2019 | — | flat |
| 70 | Tunisia | 0 | 2019 | — | flat |
| 70 | Turkey | 0 | 2019 | — | flat |
| 70 | Tuvalu | 0 | 2019 | — | flat |
| 70 | Ukraine | 0 | 2019 | — | flat |
| 70 | Uruguay | 0 | 2019 | — | flat |
| 70 | Uzbekistan | 0 | 2019 | — | flat |
| 70 | Saint Vincent and the Grenadines | 0 | 2019 | — | flat |
| 70 | British Virgin Islands | 0 | 2019 | — | volatile |
| 70 | United States Virgin Islands | 0 | 2019 | — | flat |
| 70 | Vanuatu | 0 | 2019 | — | volatile |
| 70 | Samoa | 0 | 2019 | — | volatile |
| 70 | Taiwan | 0 | 2019 | — | flat |
| 70 | Cook Islands | 0 | 2019 | — | flat |
| 70 | Niue | 0 | 2019 | — | 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 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).