Land-use change — Emissions (N2O) by country
The FAOSTAT domain on Emissions Totals summarizes the greenhouse gas (GHG) emissions disseminated in the FAOSTAT Climate Change domains of emissions from agrifood systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas...
What the numbers show
Land-use change — Emissions (N2O) is currently reported for 212 countries. The highest value is 26.14 kt in Central African Republic; the lowest is 0 kt in Svalbard and Jan Mayen Islands.
The median across all reporting countries is 0 kt, and the mean is 0.6285 kt.
Over the past decade 22 countries rose and 40 fell. The largest increase was in Suriname (up 704.5%), and the largest decrease in Comoros (down 100.0%).
Land-use change — Emissions: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Central African Republic | 26.14 kt | 2023 | down 24.1% | rising |
| 2 | Zambia | 23.95 kt | 2023 | down 34.6% | rising |
| 3 | Brazil | 17.64 kt | 2023 | up 202.1% | flat |
| 4 | Angola | 17.29 kt | 2023 | down 43.4% | rising |
| 5 | Myanmar | 13.56 kt | 2023 | down 8.1% | rising |
| 6 | Mozambique | 5.84 kt | 2023 | down 54.5% | rising |
| 7 | Thailand | 3.69 kt | 2023 | up 80.1% | volatile |
| 8 | Sudan (former) | 3.12 kt | 2011 | up 31.6% | flat |
| 9 | South Sudan | 2.82 kt | 2023 | up 10.8% | rising |
| 10 | Cambodia | 2.36 kt | 2023 | down 52.4% | rising |
| 11 | Nepal | 2.27 kt | 2023 | up 9.2% | volatile |
| 12 | Indonesia | 2.08 kt | 2023 | up 66.7% | volatile |
| 13 | India | 1.39 kt | 2023 | down 56.1% | volatile |
| 14 | Honduras | 1.1 kt | 2023 | up 76.8% | volatile |
| 15 | Cameroon | 1.09 kt | 2023 | down 25.8% | falling |
| 16 | OECD | 1.09 kt | 2023 | down 44.6% | volatile |
| 17 | Chad | 1.05 kt | 2023 | down 54.4% | rising |
| 18 | Mexico | 0.884 kt | 2023 | down 47.7% | volatile |
| 19 | Nicaragua | 0.6915 kt | 2023 | up 261.1% | volatile |
| 20 | Madagascar | 0.6304 kt | 2023 | down 26.3% | rising |
| 21 | Nigeria | 0.5945 kt | 2023 | down 22.5% | volatile |
| 22 | Congo | 0.5043 kt | 2023 | up 3.0% | rising |
| 23 | Malawi | 0.3226 kt | 2023 | down 56.8% | volatile |
| 24 | Colombia | 0.3079 kt | 2023 | up 13.2% | volatile |
| 25 | Ethiopia | 0.2802 kt | 2023 | down 62.1% | rising |
| 26 | Argentina | 0.2237 kt | 2023 | down 85.8% | volatile |
| 27 | Australia | 0.1996 kt | 2023 | down 25.9% | volatile |
| 27 | Australia and New Zealand | 0.1996 kt | 2023 | down 25.9% | volatile |
| 29 | Peru | 0.1989 kt | 2023 | up 5.4% | volatile |
| 30 | Belize | 0.1983 kt | 2023 | down 26.1% | volatile |
| 31 | Cuba | 0.1929 kt | 2023 | up 129.9% | volatile |
| 32 | Paraguay | 0.1903 kt | 2023 | down 70.7% | volatile |
| 33 | Guatemala | 0.1701 kt | 2023 | down 62.1% | volatile |
| 34 | Liberia | 0.1333 kt | 2023 | down 15.1% | volatile |
| 35 | Papua New Guinea | 0.1144 kt | 2023 | up 15.2% | volatile |
| 36 | Guinea-Bissau | 0.1064 kt | 2023 | down 84.1% | volatile |
| 37 | Guinea | 0.0874 kt | 2023 | down 83.6% | falling |
| 38 | Bangladesh | 0.0842 kt | 2023 | down 85.5% | volatile |
| 39 | Ghana | 0.0741 kt | 2023 | up 136.7% | volatile |
| 40 | Gabon | 0.0668 kt | 2023 | down 0.3% | rising |
| 41 | Senegal | 0.0474 kt | 2023 | down 84.5% | volatile |
| 42 | Sierra Leone | 0.0437 kt | 2023 | down 32.6% | volatile |
| 43 | Guyana | 0.0403 kt | 2023 | up 151.9% | volatile |
| 44 | Philippines | 0.0345 kt | 2023 | up 6.8% | volatile |
| 45 | Bahamas | 0.0287 kt | 2023 | down 79.7% | volatile |
| 46 | Benin | 0.0274 kt | 2023 | down 59.0% | volatile |
| 47 | Uganda | 0.0185 kt | 2023 | down 66.0% | volatile |
| 48 | Suriname | 0.0177 kt | 2023 | up 704.5% | volatile |
| 48 | Togo | 0.0177 kt | 2023 | up 302.3% | volatile |
| 50 | Malaysia | 0.0134 kt | 2023 | down 83.3% | volatile |
| 51 | Panama | 0.0102 kt | 2023 | up 277.8% | volatile |
| 52 | Fiji | 0.0078 kt | 2023 | — | volatile |
| 53 | Costa Rica | 0.0049 kt | 2023 | down 94.2% | volatile |
| 54 | Ecuador | 0.0024 kt | 2023 | up 100.0% | volatile |
| 55 | Bhutan | 0.0022 kt | 2023 | down 56.9% | volatile |
| 55 | French Guiana | 0.0022 kt | 2023 | up 340.0% | volatile |
| 57 | Equatorial Guinea | 0.0012 kt | 2023 | — | volatile |
| 57 | South Africa | 0.0012 kt | 2023 | down 36.8% | volatile |
| 59 | New Caledonia | 0.001 kt | 2023 | — | volatile |
| 60 | Dominican Republic | 0.0007 kt | 2023 | down 58.8% | volatile |
| 61 | China | 0.0005 kt | 2023 | unchanged | volatile |
| 61 | Sudan | 0.0005 kt | 2023 | up 150.0% | volatile |
| 61 | El Salvador | 0.0005 kt | 2023 | down 98.6% | volatile |
| 61 | China, mainland | 0.0005 kt | 2023 | unchanged | volatile |
| 61 | Brunei Darussalam | 0.0005 kt | 2023 | — | volatile |
| 66 | Aruba | 0 kt | 2023 | — | flat |
| 66 | Afghanistan | 0 kt | 2023 | — | flat |
| 66 | Albania | 0 kt | 2023 | — | flat |
| 66 | Andorra | 0 kt | 2023 | — | flat |
| 66 | United Arab Emirates | 0 kt | 2023 | — | flat |
| 66 | Armenia | 0 kt | 2023 | — | flat |
| 66 | American Samoa | 0 kt | 2023 | — | flat |
| 66 | Antigua and Barbuda | 0 kt | 2023 | — | flat |
| 66 | Austria | 0 kt | 2023 | — | flat |
| 66 | Azerbaijan | 0 kt | 2023 | — | flat |
| 66 | Burundi | 0 kt | 2023 | — | volatile |
| 66 | Belgium | 0 kt | 2023 | — | flat |
| 66 | Burkina Faso | 0 kt | 2023 | — | volatile |
| 66 | Bulgaria | 0 kt | 2023 | — | flat |
| 66 | Bahrain | 0 kt | 2023 | — | flat |
| 66 | Bosnia and Herzegovina | 0 kt | 2023 | — | flat |
| 66 | Belarus | 0 kt | 2023 | — | flat |
| 66 | Bermuda | 0 kt | 2023 | — | flat |
| 66 | Barbados | 0 kt | 2023 | — | flat |
| 66 | Botswana | 0 kt | 2023 | — | flat |
| 66 | Canada | 0 kt | 2023 | — | flat |
| 66 | Switzerland | 0 kt | 2023 | — | flat |
| 66 | Chile | 0 kt | 2023 | — | flat |
| 66 | Comoros | 0 kt | 2023 | down 100.0% | volatile |
| 66 | Cayman Islands | 0 kt | 2023 | — | volatile |
| 66 | Cyprus | 0 kt | 2023 | — | flat |
| 66 | Czechia | 0 kt | 2023 | — | flat |
| 66 | Germany | 0 kt | 2023 | — | flat |
| 66 | Djibouti | 0 kt | 2023 | — | flat |
| 66 | Dominica | 0 kt | 2023 | — | flat |
| 66 | Denmark | 0 kt | 2023 | — | flat |
| 66 | Algeria | 0 kt | 2023 | — | flat |
| 66 | Egypt | 0 kt | 2023 | — | flat |
| 66 | Eritrea | 0 kt | 2023 | — | flat |
| 66 | Spain | 0 kt | 2023 | — | flat |
| 66 | Estonia | 0 kt | 2023 | — | flat |
| 66 | Finland | 0 kt | 2023 | — | flat |
| 66 | France | 0 kt | 2023 | — | flat |
| 66 | Faroe Islands | 0 kt | 2023 | — | flat |
| 66 | Georgia | 0 kt | 2023 | — | flat |
| 66 | Gibraltar | 0 kt | 2023 | — | flat |
| 66 | Gambia | 0 kt | 2023 | — | volatile |
| 66 | Greece | 0 kt | 2023 | — | flat |
| 66 | Grenada | 0 kt | 2023 | — | flat |
| 66 | Greenland | 0 kt | 2023 | — | flat |
| 66 | Guam | 0 kt | 2023 | — | flat |
| 66 | Croatia | 0 kt | 2023 | — | flat |
| 66 | Haiti | 0 kt | 2023 | — | volatile |
| 66 | Hungary | 0 kt | 2023 | — | flat |
| 66 | Isle of Man | 0 kt | 2023 | — | flat |
| 66 | Ireland | 0 kt | 2023 | — | flat |
| 66 | Iraq | 0 kt | 2023 | — | flat |
| 66 | Iceland | 0 kt | 2023 | — | flat |
| 66 | Israel | 0 kt | 2023 | — | flat |
| 66 | Italy | 0 kt | 2023 | — | flat |
| 66 | Jamaica | 0 kt | 2023 | — | volatile |
| 66 | Jordan | 0 kt | 2023 | — | flat |
| 66 | Japan | 0 kt | 2023 | — | flat |
| 66 | Kazakhstan | 0 kt | 2023 | — | flat |
| 66 | Kenya | 0 kt | 2023 | — | volatile |
| 66 | Kyrgyzstan | 0 kt | 2023 | — | flat |
| 66 | Kiribati | 0 kt | 2023 | — | flat |
| 66 | Saint Kitts and Nevis | 0 kt | 2023 | — | flat |
| 66 | Kuwait | 0 kt | 2023 | — | flat |
| 66 | Lebanon | 0 kt | 2023 | — | flat |
| 66 | Libya | 0 kt | 2023 | — | flat |
| 66 | Saint Lucia | 0 kt | 2023 | — | flat |
| 66 | Sri Lanka | 0 kt | 2023 | — | volatile |
| 66 | Lesotho | 0 kt | 2023 | — | flat |
| 66 | Lithuania | 0 kt | 2023 | — | flat |
| 66 | Luxembourg | 0 kt | 2023 | — | flat |
| 66 | Latvia | 0 kt | 2023 | — | flat |
| 66 | Morocco | 0 kt | 2023 | — | flat |
| 66 | Maldives | 0 kt | 2023 | — | flat |
| 66 | Marshall Islands | 0 kt | 2023 | — | flat |
| 66 | North Macedonia | 0 kt | 2023 | — | flat |
| 66 | Mali | 0 kt | 2023 | down 100.0% | volatile |
| 66 | Malta | 0 kt | 2023 | — | flat |
| 66 | Montenegro | 0 kt | 2023 | — | flat |
| 66 | Mongolia | 0 kt | 2023 | — | flat |
| 66 | Northern Mariana Islands | 0 kt | 2023 | — | flat |
| 66 | Mauritania | 0 kt | 2023 | — | flat |
| 66 | Mauritius | 0 kt | 2023 | — | flat |
| 66 | Namibia | 0 kt | 2023 | — | flat |
| 66 | Niger | 0 kt | 2023 | — | flat |
| 66 | Norway | 0 kt | 2023 | — | flat |
| 66 | Nauru | 0 kt | 2023 | — | flat |
| 66 | New Zealand | 0 kt | 2023 | — | flat |
| 66 | Oman | 0 kt | 2023 | — | flat |
| 66 | Pakistan | 0 kt | 2023 | — | flat |
| 66 | Palau | 0 kt | 2023 | — | flat |
| 66 | Poland | 0 kt | 2023 | — | flat |
| 66 | Puerto Rico | 0 kt | 2023 | — | volatile |
| 66 | Portugal | 0 kt | 2023 | — | flat |
| 66 | Palestine | 0 kt | 2023 | — | flat |
| 66 | French Polynesia | 0 kt | 2023 | — | flat |
| 66 | Qatar | 0 kt | 2023 | — | flat |
| 66 | Romania | 0 kt | 2023 | — | flat |
| 66 | Rwanda | 0 kt | 2023 | — | flat |
| 66 | Saudi Arabia | 0 kt | 2023 | — | flat |
| 66 | Singapore | 0 kt | 2023 | — | volatile |
| 66 | Solomon Islands | 0 kt | 2023 | — | volatile |
| 66 | Somalia | 0 kt | 2023 | — | flat |
| 66 | Serbia | 0 kt | 2023 | — | flat |
| 66 | Sao Tome and Principe | 0 kt | 2023 | — | flat |
| 66 | Slovakia | 0 kt | 2023 | — | flat |
| 66 | Slovenia | 0 kt | 2023 | — | flat |
| 66 | Sweden | 0 kt | 2023 | — | flat |
| 66 | Eswatini | 0 kt | 2023 | — | flat |
| 66 | Seychelles | 0 kt | 2023 | — | flat |
| 66 | Turks and Caicos Islands | 0 kt | 2023 | — | volatile |
| 66 | Tajikistan | 0 kt | 2023 | — | flat |
| 66 | Turkmenistan | 0 kt | 2023 | — | flat |
| 66 | Tonga | 0 kt | 2023 | — | flat |
| 66 | Trinidad and Tobago | 0 kt | 2023 | down 100.0% | volatile |
| 66 | Tunisia | 0 kt | 2023 | — | flat |
| 66 | Tuvalu | 0 kt | 2023 | — | flat |
| 66 | Ukraine | 0 kt | 2023 | — | flat |
| 66 | Uruguay | 0 kt | 2023 | — | flat |
| 66 | Uzbekistan | 0 kt | 2023 | — | flat |
| 66 | Saint Vincent and the Grenadines | 0 kt | 2023 | — | flat |
| 66 | British Virgin Islands | 0 kt | 2023 | — | flat |
| 66 | United States Virgin Islands | 0 kt | 2023 | — | flat |
| 66 | Vanuatu | 0 kt | 2023 | — | volatile |
| 66 | Samoa | 0 kt | 2023 | — | volatile |
| 66 | Yemen | 0 kt | 2023 | — | flat |
| 66 | Zimbabwe | 0 kt | 2023 | — | flat |
| 66 | Guadeloupe | 0 kt | 2023 | — | flat |
| 66 | Martinique | 0 kt | 2023 | — | flat |
| 66 | Western Sahara | 0 kt | 2023 | — | flat |
| 66 | Saint Pierre and Miquelon | 0 kt | 2023 | — | flat |
| 66 | Serbia and Montenegro | 0 kt | 2005 | — | flat |
| 66 | Norfolk Island | 0 kt | 2023 | — | flat |
| 66 | Pitcairn | 0 kt | 2023 | — | flat |
| 66 | Ascension, Saint Helena and Tristan da Cunha | 0 kt | 2023 | — | flat |
| 66 | China, Hong Kong SAR | 0 kt | 2023 | — | flat |
| 66 | Republic of Korea | 0 kt | 2023 | — | flat |
| 66 | Russian Federation | 0 kt | 2023 | — | flat |
| 66 | Belgium-Luxembourg | 0 kt | 1999 | — | flat |
| 66 | China, Taiwan Province of | 0 kt | 2023 | — | flat |
| 66 | Netherlands (Kingdom of the) | 0 kt | 2023 | — | flat |
| 66 | United Kingdom of Great Britain and Northern Ireland | 0 kt | 2023 | — | flat |
| 66 | Réunion | 0 kt | 2023 | — | flat |
| 66 | China, Macao SAR | 0 kt | 2023 | — | flat |
| 66 | Netherlands Antilles (former) | 0 kt | 2010 | — | flat |
| 66 | Falkland Islands (Malvinas) | 0 kt | 2023 | — | flat |
| 66 | Svalbard and Jan Mayen Islands | 0 kt | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 193.52 kt
- Non-Annex I countries 193.31 kt
- Net Food Importing Developing Countries (NFIDCs) 147.64 kt
- Low Income Food Deficit Countries (LIFDCs) 85.15 kt
- Land Locked Developing Countries (LLDCs) 78.16 kt
- Americas 37.67 kt
- Annex I countries 0.2043 kt
- Northern America 0.0015 kt
- United States of America 0.0015 kt
- European Union (27) 0 kt
- Western Europe 0 kt
- Northern Europe 0 kt
About this data
The FAOSTAT domain on Emissions Totals summarizes the greenhouse gas (GHG) emissions disseminated in the FAOSTAT Climate Change domains of emissions from agrifood systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). Emissions from other economic sectors as defined by the IPCC are also disseminated in the domain for completeness. Methodological details can be found at: https://files-faostat.fao.org/production/GT/GT_en.pdf