Maize (corn) — Crop residues (Emissions N2O) by country
The FAOSTAT domain on Emissions from Crops provides estimates of emissions associated with crop processes, namely 1) crop residues, 2) burning of crop residues, and 3) rice cultivation and the application of nitrogen (N) fertilizers, including mineral and chemical fertilizers, to soils. Estimates are computed at...
What the numbers show
Maize (corn) — Crop residues (Emissions N2O) is currently reported for 164 countries. The highest value is 79.71 kt in OECD; the lowest is 0 kt in Guadeloupe.
The median across all reporting countries is 0.0745 kt, and the mean is 1.42 kt.
Over the past decade 7 countries rose and 7 fell. The largest increase was in Belgium-Luxembourg (up 633.7%), and the largest decrease in Guadeloupe (down 100.0%).
Maize (corn) — Crop residues: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | OECD | 79.71 kt | 2050 | — | rising |
| 2 | China (People's Republic of) | 31.78 kt | 2050 | — | volatile |
| 3 | China, mainland | 31.76 kt | 2050 | — | volatile |
| 4 | Brazil | 12.35 kt | 2050 | — | volatile |
| 5 | Mexico | 5.88 kt | 2050 | — | rising |
| 6 | Argentina | 5.18 kt | 2050 | — | volatile |
| 7 | India | 4.99 kt | 2050 | — | volatile |
| 8 | Indonesia | 3.9 kt | 2050 | — | volatile |
| 9 | Nigeria | 3.06 kt | 2050 | — | volatile |
| 10 | France | 2.76 kt | 2050 | — | rising |
| 11 | South Africa | 2.63 kt | 2050 | — | rising |
| 12 | Philippines | 2.5 kt | 2050 | — | rising |
| 13 | Ethiopia | 2.23 kt | 2050 | — | volatile |
| 14 | Canada | 2.09 kt | 2050 | — | volatile |
| 15 | Italy | 2 kt | 2050 | — | rising |
| 16 | Yugoslav SFR | 1.83 kt | 1991 | up 15.1% | rising |
| 17 | Egypt | 1.82 kt | 2050 | — | rising |
| 18 | Romania | 1.65 kt | 2050 | — | rising |
| 19 | USSR | 1.65 kt | 1991 | up 0.4% | flat |
| 20 | Thailand | 1.54 kt | 2050 | — | rising |
| 21 | Ukraine | 1.49 kt | 2050 | — | volatile |
| 22 | Hungary | 1.44 kt | 2050 | — | rising |
| 23 | Malawi | 1.35 kt | 2050 | — | volatile |
| 24 | Kenya | 1.2 kt | 2050 | — | rising |
| 25 | Serbia and Montenegro | 1.12 kt | 2005 | up 17.9% | rising |
| 26 | Colombia | 1.06 kt | 2050 | — | volatile |
| 27 | Serbia | 1.05 kt | 2050 | — | rising |
| 28 | Pakistan | 0.9015 kt | 2050 | — | volatile |
| 29 | Zimbabwe | 0.8752 kt | 2050 | — | rising |
| 30 | Mozambique | 0.8479 kt | 2050 | — | volatile |
| 31 | Peru | 0.8468 kt | 2050 | — | volatile |
| 32 | Nepal | 0.7819 kt | 2050 | — | rising |
| 33 | Germany | 0.7431 kt | 2050 | — | volatile |
| 34 | Spain | 0.7309 kt | 2050 | — | rising |
| 35 | Russian Federation | 0.7123 kt | 2050 | — | volatile |
| 36 | Zambia | 0.6804 kt | 2050 | — | volatile |
| 37 | Uganda | 0.6209 kt | 2050 | — | volatile |
| 38 | Cambodia | 0.5975 kt | 2050 | — | volatile |
| 39 | Angola | 0.5913 kt | 2050 | — | volatile |
| 40 | Ghana | 0.5805 kt | 2050 | — | volatile |
| 41 | Paraguay | 0.5751 kt | 2050 | — | volatile |
| 42 | Myanmar | 0.5396 kt | 2050 | — | volatile |
| 43 | Benin | 0.5322 kt | 2050 | — | volatile |
| 44 | Chile | 0.5228 kt | 2050 | — | volatile |
| 45 | Guatemala | 0.5216 kt | 2050 | — | rising |
| 46 | Greece | 0.4855 kt | 2050 | — | volatile |
| 47 | Cameroon | 0.4675 kt | 2050 | — | volatile |
| 48 | Guinea | 0.4301 kt | 2050 | — | volatile |
| 49 | Burkina Faso | 0.4059 kt | 2050 | — | volatile |
| 50 | Ecuador | 0.4048 kt | 2050 | — | volatile |
| 51 | Austria | 0.3834 kt | 2050 | — | rising |
| 52 | El Salvador | 0.3829 kt | 2050 | — | rising |
| 53 | Croatia | 0.3779 kt | 2050 | — | rising |
| 54 | Madagascar | 0.3595 kt | 2050 | — | volatile |
| 55 | Poland | 0.341 kt | 2050 | — | volatile |
| 56 | Mali | 0.3326 kt | 2050 | — | volatile |
| 57 | Bangladesh | 0.3082 kt | 2050 | — | volatile |
| 58 | Ethiopia PDR | 0.3002 kt | 1992 | up 33.4% | rising |
| 59 | Bulgaria | 0.2877 kt | 2050 | — | flat |
| 60 | Togo | 0.2565 kt | 2050 | — | volatile |
| 61 | Iraq | 0.2133 kt | 2050 | — | volatile |
| 62 | Honduras | 0.205 kt | 2050 | — | rising |
| 63 | Afghanistan | 0.1985 kt | 2050 | — | falling |
| 64 | Senegal | 0.1914 kt | 2050 | — | volatile |
| 65 | Nicaragua | 0.1883 kt | 2050 | — | rising |
| 66 | Bosnia and Herzegovina | 0.1842 kt | 2050 | — | rising |
| 67 | Slovak Republic | 0.1746 kt | 2050 | — | rising |
| 68 | Cuba | 0.1506 kt | 2050 | — | volatile |
| 69 | Czechia | 0.1402 kt | 2050 | — | rising |
| 70 | Chad | 0.1365 kt | 2050 | — | volatile |
| 71 | Belgium | 0.1269 kt | 2050 | — | rising |
| 72 | Czechoslovakia | 0.1265 kt | 1992 | down 15.3% | rising |
| 73 | Rwanda | 0.1247 kt | 2050 | — | volatile |
| 74 | Australia and New Zealand | 0.1168 kt | 2050 | — | rising |
| 75 | Portugal | 0.1155 kt | 2050 | — | flat |
| 76 | Morocco | 0.1072 kt | 2050 | — | falling |
| 77 | Kyrgyzstan | 0.1066 kt | 2050 | — | rising |
| 78 | Kazakhstan | 0.1041 kt | 2050 | — | volatile |
| 79 | Haiti | 0.0975 kt | 2050 | — | rising |
| 80 | Somalia | 0.0911 kt | 2050 | — | rising |
| 81 | Georgia | 0.0843 kt | 2050 | — | falling |
| 82 | Australia | 0.078 kt | 2050 | — | rising |
| 83 | Sri Lanka | 0.071 kt | 2050 | — | volatile |
| 84 | Central African Republic | 0.0694 kt | 2050 | — | volatile |
| 85 | Uruguay | 0.0677 kt | 2050 | — | volatile |
| 86 | Belarus | 0.0647 kt | 2050 | — | volatile |
| 87 | Slovenia | 0.063 kt | 2050 | — | rising |
| 88 | Belgium-Luxembourg | 0.0609 kt | 1999 | up 633.7% | volatile |
| 89 | Burundi | 0.0601 kt | 2050 | — | volatile |
| 90 | Sierra Leone | 0.0546 kt | 2050 | — | volatile |
| 91 | Niger | 0.0482 kt | 2050 | — | volatile |
| 92 | Albania | 0.0474 kt | 2050 | — | rising |
| 93 | Uzbekistan | 0.0454 kt | 2050 | — | volatile |
| 94 | Netherlands (Kingdom of the) | 0.0398 kt | 2050 | — | volatile |
| 95 | New Zealand | 0.0388 kt | 2050 | — | rising |
| 96 | Bhutan | 0.0381 kt | 2050 | — | rising |
| 97 | Azerbaijan | 0.0372 kt | 2050 | — | volatile |
| 97 | Yemen | 0.0372 kt | 2050 | — | volatile |
| 99 | Switzerland | 0.0352 kt | 2050 | — | rising |
| 99 | Tajikistan | 0.0352 kt | 2050 | — | volatile |
| 101 | Saudi Arabia | 0.0321 kt | 2050 | — | volatile |
| 102 | South Sudan | 0.0317 kt | 2023 | down 37.5% | falling |
| 103 | North Macedonia | 0.029 kt | 2050 | — | rising |
| 104 | Namibia | 0.0278 kt | 2050 | — | volatile |
| 105 | Lesotho | 0.0272 kt | 2050 | — | falling |
| 106 | Republic of Korea | 0.0262 kt | 2050 | — | rising |
| 107 | Panama | 0.0247 kt | 2050 | — | rising |
| 108 | Gambia | 0.0235 kt | 2050 | — | volatile |
| 109 | Eswatini | 0.0226 kt | 2050 | — | rising |
| 110 | Dominican Republic | 0.0203 kt | 2050 | — | rising |
| 111 | Guinea-Bissau | 0.0183 kt | 2050 | — | volatile |
| 112 | China, Taiwan Province of | 0.0158 kt | 2050 | — | volatile |
| 113 | Eritrea | 0.0148 kt | 2050 | — | volatile |
| 114 | Mauritania | 0.0146 kt | 2050 | — | volatile |
| 115 | Gabon | 0.0139 kt | 2050 | — | volatile |
| 116 | Belize | 0.0136 kt | 2050 | — | volatile |
| 117 | Israel | 0.0134 kt | 2050 | — | volatile |
| 118 | Botswana | 0.0114 kt | 2050 | — | volatile |
| 119 | Sudan (former) | 0.0086 kt | 2011 | down 36.3% | rising |
| 120 | Costa Rica | 0.0084 kt | 2050 | — | volatile |
| 121 | Congo | 0.0075 kt | 2050 | — | volatile |
| 122 | Denmark | 0.0065 kt | 2023 | down 45.4% | falling |
| 122 | Réunion | 0.0065 kt | 2050 | — | rising |
| 124 | Sudan | 0.0052 kt | 2023 | down 38.1% | falling |
| 125 | Oman | 0.0045 kt | 2050 | — | falling |
| 126 | Turkmenistan | 0.004 kt | 2050 | — | volatile |
| 127 | Kuwait | 0.003 kt | 2050 | — | volatile |
| 128 | Armenia | 0.0028 kt | 2050 | — | rising |
| 128 | Comoros | 0.0028 kt | 2050 | — | volatile |
| 130 | Sweden | 0.0024 kt | 2023 | up 242.9% | rising |
| 131 | Lithuania | 0.0022 kt | 2050 | — | volatile |
| 131 | Papua New Guinea | 0.0022 kt | 2050 | — | volatile |
| 133 | New Caledonia | 0.0016 kt | 2050 | — | volatile |
| 134 | Guyana | 0.0015 kt | 2050 | — | rising |
| 134 | Sao Tome and Principe | 0.0015 kt | 2050 | — | volatile |
| 136 | Trinidad and Tobago | 0.0011 kt | 2050 | — | rising |
| 137 | Lebanon | 0.001 kt | 2050 | — | volatile |
| 137 | Montenegro | 0.001 kt | 2050 | — | volatile |
| 139 | Algeria | 0.0008 kt | 2050 | — | volatile |
| 139 | Libya | 0.0008 kt | 2050 | — | volatile |
| 141 | Jamaica | 0.0007 kt | 2050 | — | volatile |
| 142 | Jordan | 0.0006 kt | 1990 | up 500.0% | volatile |
| 143 | United Arab Emirates | 0.0005 kt | 2050 | — | volatile |
| 144 | Luxembourg | 0.0004 kt | 2050 | — | volatile |
| 145 | Qatar | 0.0003 kt | 2050 | — | volatile |
| 145 | Vanuatu | 0.0003 kt | 2050 | — | rising |
| 147 | Fiji | 0.0002 kt | 2050 | — | volatile |
| 147 | Puerto Rico | 0.0002 kt | 2050 | — | volatile |
| 147 | Saint Vincent and the Grenadines | 0.0002 kt | 2050 | — | volatile |
| 147 | United Kingdom of Great Britain and Northern Ireland | 0.0002 kt | 1980 | down 33.3% | volatile |
| 151 | Bahamas | 0.0001 kt | 2050 | — | flat |
| 151 | Barbados | 0.0001 kt | 2050 | — | volatile |
| 151 | Dominica | 0.0001 kt | 2050 | — | volatile |
| 151 | Grenada | 0.0001 kt | 2050 | — | falling |
| 151 | Mauritius | 0.0001 kt | 2050 | — | volatile |
| 151 | Malaysia | 0.0001 kt | 2023 | — | volatile |
| 157 | Antigua and Barbuda | 0 kt | 2050 | — | flat |
| 157 | Djibouti | 0 kt | 2050 | — | flat |
| 157 | Japan | 0 kt | 2050 | — | volatile |
| 157 | Saint Lucia | 0 kt | 1979 | — | flat |
| 157 | Maldives | 0 kt | 2050 | — | flat |
| 157 | Suriname | 0 kt | 2050 | — | volatile |
| 157 | French Guiana | 0 kt | 2050 | — | volatile |
| 157 | Guadeloupe | 0 kt | 1977 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 185.25 kt
- Non-Annex I countries 107.39 kt
- Americas 92.22 kt
- Annex I countries 77.86 kt
- Northern America 62.6 kt
- United States of America 60.51 kt
- Net Food Importing Developing Countries (NFIDCs) 22.81 kt
- Low Income Food Deficit Countries (LIFDCs) 16.08 kt
- European Union (27) 11.86 kt
- Land Locked Developing Countries (LLDCs) 10.08 kt
- Western Europe 4.09 kt
- Northern Europe 0.0022 kt
About this data
The FAOSTAT domain on Emissions from Crops provides estimates of emissions associated with crop processes, namely 1) crop residues, 2) burning of crop residues, and 3) rice cultivation and the application of nitrogen (N) fertilizers, including mineral and chemical fertilizers, to soils. Estimates are computed at Tier 1 following the 2006 IPCC Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 2006).