Millet — Crop residues (Direct 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
Millet — Crop residues (Direct emissions N2O) is currently reported for 86 countries. The highest value is 2.97 kt in India; the lowest is 0 kt in China, Taiwan Province of.
The median across all reporting countries is 0.0074 kt, and the mean is 0.1352 kt.
Over the past decade 4 countries rose and 3 fell. The largest increase was in South Sudan (up 514.3%), and the largest decrease in Ethiopia PDR (down 34.7%).
Millet — Crop residues: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2.97 kt | 2050 | — | rising |
| 2 | Nigeria | 2.46 kt | 2050 | — | volatile |
| 3 | Niger | 1.67 kt | 2050 | — | volatile |
| 4 | Mali | 0.5124 kt | 2050 | — | volatile |
| 5 | Burkina Faso | 0.4567 kt | 2050 | — | volatile |
| 6 | Uganda | 0.3583 kt | 2050 | — | volatile |
| 7 | USSR | 0.3286 kt | 1991 | down 3.4% | flat |
| 8 | China (People’s Republic of) | 0.3262 kt | 2050 | — | volatile |
| 8 | China, mainland | 0.3262 kt | 2050 | — | volatile |
| 10 | Chad | 0.2504 kt | 2050 | — | volatile |
| 11 | Ethiopia | 0.2345 kt | 2050 | — | volatile |
| 12 | Senegal | 0.2046 kt | 2050 | — | rising |
| 13 | Sudan | 0.1677 kt | 2023 | down 28.4% | rising |
| 14 | Sudan (former) | 0.1503 kt | 2011 | up 5.2% | rising |
| 15 | Guinea | 0.137 kt | 2050 | — | volatile |
| 16 | Russian Federation | 0.1362 kt | 2050 | — | volatile |
| 17 | Pakistan | 0.0942 kt | 2050 | — | falling |
| 18 | Nepal | 0.0905 kt | 2050 | — | rising |
| 19 | OECD | 0.0882 kt | 2050 | — | rising |
| 20 | Ghana | 0.0628 kt | 2050 | — | rising |
| 21 | Gambia | 0.0558 kt | 2050 | — | volatile |
| 22 | Angola | 0.0461 kt | 2050 | — | rising |
| 23 | Myanmar | 0.0442 kt | 2050 | — | rising |
| 24 | Yemen | 0.0435 kt | 2050 | — | rising |
| 25 | Namibia | 0.0327 kt | 2050 | — | volatile |
| 26 | Kenya | 0.0325 kt | 2050 | — | falling |
| 27 | Ukraine | 0.0308 kt | 2050 | — | falling |
| 28 | Eritrea | 0.03 kt | 2050 | — | volatile |
| 29 | Zimbabwe | 0.027 kt | 2050 | — | volatile |
| 30 | Ethiopia PDR | 0.0246 kt | 1992 | down 34.7% | rising |
| 31 | Cameroon | 0.024 kt | 2050 | — | rising |
| 32 | Benin | 0.0212 kt | 2050 | — | volatile |
| 33 | Malawi | 0.0174 kt | 2050 | — | volatile |
| 34 | Guinea-Bissau | 0.0171 kt | 2050 | — | volatile |
| 35 | Zambia | 0.0163 kt | 2050 | — | volatile |
| 36 | Togo | 0.0149 kt | 2050 | — | volatile |
| 37 | Sierra Leone | 0.0147 kt | 2050 | — | volatile |
| 38 | Afghanistan | 0.0093 kt | 2050 | — | falling |
| 38 | Bangladesh | 0.0093 kt | 2050 | — | volatile |
| 40 | Australia | 0.0087 kt | 2050 | — | rising |
| 40 | Australia and New Zealand | 0.0087 kt | 2050 | — | rising |
| 42 | South Sudan | 0.0086 kt | 2023 | up 514.3% | rising |
| 43 | Mozambique | 0.0083 kt | 2050 | — | volatile |
| 44 | Kazakhstan | 0.0064 kt | 2050 | — | volatile |
| 45 | France | 0.006 kt | 2050 | — | volatile |
| 46 | Argentina | 0.0055 kt | 2050 | — | volatile |
| 47 | Burundi | 0.0045 kt | 2050 | — | rising |
| 48 | Central African Republic | 0.0041 kt | 2050 | — | rising |
| 49 | Congo | 0.0037 kt | 2050 | — | rising |
| 50 | Belarus | 0.003 kt | 2050 | — | rising |
| 51 | Bhutan | 0.0026 kt | 2050 | — | volatile |
| 51 | Mauritania | 0.0026 kt | 2050 | — | volatile |
| 51 | Rwanda | 0.0026 kt | 2050 | — | volatile |
| 54 | Hungary | 0.002 kt | 2050 | — | rising |
| 55 | Morocco | 0.0019 kt | 2050 | — | rising |
| 56 | Portugal | 0.0018 kt | 1972 | up 38.5% | rising |
| 56 | South Africa | 0.0018 kt | 2050 | — | falling |
| 58 | Sri Lanka | 0.0015 kt | 2050 | — | volatile |
| 59 | Austria | 0.0014 kt | 2050 | — | volatile |
| 59 | Poland | 0.0014 kt | 2050 | — | volatile |
| 59 | Saudi Arabia | 0.0014 kt | 2050 | — | volatile |
| 62 | Libya | 0.0011 kt | 2050 | — | volatile |
| 63 | Uzbekistan | 0.001 kt | 2050 | — | volatile |
| 64 | Iraq | 0.0009 kt | 2050 | — | volatile |
| 65 | Bulgaria | 0.0006 kt | 2050 | — | volatile |
| 65 | Czechoslovakia | 0.0006 kt | 1992 | up 200.0% | volatile |
| 67 | Republic of Korea | 0.0004 kt | 2050 | — | volatile |
| 67 | Yugoslav SFR | 0.0004 kt | 1991 | unchanged | volatile |
| 69 | Czechia | 0.0003 kt | 2050 | — | volatile |
| 69 | Slovak Republic | 0.0003 kt | 2050 | — | rising |
| 71 | Botswana | 0.0002 kt | 2050 | — | volatile |
| 71 | Switzerland | 0.0002 kt | 2023 | — | volatile |
| 71 | Mexico | 0.0002 kt | 2050 | — | volatile |
| 74 | Spain | 0.0001 kt | 2050 | — | volatile |
| 74 | Croatia | 0.0001 kt | 2050 | — | volatile |
| 74 | Japan | 0.0001 kt | 2050 | — | volatile |
| 74 | Slovenia | 0.0001 kt | 2050 | — | volatile |
| 74 | Serbia and Montenegro | 0.0001 kt | 2005 | — | volatile |
| 79 | Azerbaijan | 0 kt | 2050 | — | volatile |
| 79 | Greece | 0 kt | 2050 | — | volatile |
| 79 | Jordan | 0 kt | 2050 | — | volatile |
| 79 | Kyrgyzstan | 0 kt | 2050 | — | volatile |
| 79 | Maldives | 0 kt | 2023 | — | volatile |
| 79 | North Macedonia | 0 kt | 2023 | — | volatile |
| 79 | Tajikistan | 0 kt | 2050 | — | volatile |
| 79 | China, Taiwan Province of | 0 kt | 2050 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Non-Annex I countries 10.5 kt
- Africa 6.85 kt
- Sub-Saharan Africa 6.85 kt
- Western Africa 5.65 kt
- Net Food Importing Developing Countries (NFIDCs) 4.57 kt
- Low Income Food Deficit Countries (LIFDCs) 4.38 kt
- Land Locked Developing Countries (LLDCs) 3.67 kt
- Southern Asia 3.2 kt
- Türkiye 0.002 kt
- Eastern Africa 0.8226 kt
- Eastern Asia 0.3417 kt
- Annex I countries 0.2583 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).