Millet — 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
Millet — Crop residues (Emissions N2O) is currently reported for 87 countries. The highest value is 3.64 kt in India; the lowest is 0 kt in China, Taiwan Province of.
The median across all reporting countries is 0.0079 kt, and the mean is 0.1638 kt.
Over the past decade 5 countries rose and 3 fell. The largest increase was in South Sudan (up 517.6%), and the largest decrease in Ethiopia PDR (down 34.6%).
Millet — Crop residues: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 3.64 kt | 2050 | — | rising |
| 2 | Nigeria | 3.01 kt | 2050 | — | volatile |
| 3 | Niger | 2.05 kt | 2050 | — | volatile |
| 4 | Mali | 0.6277 kt | 2050 | — | volatile |
| 5 | Burkina Faso | 0.5595 kt | 2050 | — | volatile |
| 6 | Uganda | 0.4389 kt | 2050 | — | volatile |
| 7 | USSR | 0.4025 kt | 1991 | down 3.4% | flat |
| 8 | China (People’s Republic of) | 0.3996 kt | 2050 | — | volatile |
| 9 | China, mainland | 0.3995 kt | 2050 | — | volatile |
| 10 | Chad | 0.3067 kt | 2050 | — | volatile |
| 11 | Ethiopia | 0.2873 kt | 2050 | — | volatile |
| 12 | Senegal | 0.2506 kt | 2050 | — | rising |
| 13 | Sudan | 0.2054 kt | 2023 | down 28.4% | rising |
| 14 | Sudan (former) | 0.1842 kt | 2011 | up 5.2% | rising |
| 15 | Guinea | 0.1678 kt | 2050 | — | volatile |
| 16 | Russian Federation | 0.1668 kt | 2050 | — | volatile |
| 17 | Pakistan | 0.1154 kt | 2050 | — | falling |
| 18 | Nepal | 0.1109 kt | 2050 | — | rising |
| 19 | OECD | 0.1081 kt | 2050 | — | rising |
| 20 | Ghana | 0.0769 kt | 2050 | — | rising |
| 21 | Gambia | 0.0683 kt | 2050 | — | volatile |
| 22 | Angola | 0.0565 kt | 2050 | — | rising |
| 23 | Myanmar | 0.0541 kt | 2050 | — | rising |
| 24 | Yemen | 0.0533 kt | 2050 | — | rising |
| 25 | Namibia | 0.04 kt | 2050 | — | volatile |
| 26 | Kenya | 0.0398 kt | 2050 | — | falling |
| 27 | Ukraine | 0.0378 kt | 2050 | — | falling |
| 28 | Eritrea | 0.0367 kt | 2050 | — | volatile |
| 29 | Zimbabwe | 0.0331 kt | 2050 | — | volatile |
| 30 | Ethiopia PDR | 0.0302 kt | 1992 | down 34.6% | rising |
| 31 | Cameroon | 0.0294 kt | 2050 | — | rising |
| 32 | Benin | 0.0259 kt | 2050 | — | volatile |
| 33 | Malawi | 0.0213 kt | 2050 | — | volatile |
| 34 | Guinea-Bissau | 0.021 kt | 2050 | — | volatile |
| 35 | Zambia | 0.02 kt | 2050 | — | volatile |
| 36 | Togo | 0.0182 kt | 2050 | — | volatile |
| 37 | Sierra Leone | 0.018 kt | 2050 | — | volatile |
| 38 | Afghanistan | 0.0114 kt | 2050 | — | falling |
| 38 | Bangladesh | 0.0114 kt | 2050 | — | volatile |
| 40 | Australia | 0.0107 kt | 2050 | — | rising |
| 40 | Australia and New Zealand | 0.0107 kt | 2050 | — | rising |
| 42 | South Sudan | 0.0105 kt | 2023 | up 517.6% | rising |
| 43 | Mozambique | 0.0102 kt | 2050 | — | volatile |
| 44 | Kazakhstan | 0.0079 kt | 2050 | — | volatile |
| 45 | France | 0.0073 kt | 2050 | — | volatile |
| 46 | Argentina | 0.0067 kt | 2050 | — | volatile |
| 47 | Burundi | 0.0055 kt | 2050 | — | rising |
| 48 | Central African Republic | 0.005 kt | 2050 | — | rising |
| 49 | Congo | 0.0046 kt | 2050 | — | rising |
| 50 | Belarus | 0.0037 kt | 2050 | — | rising |
| 51 | Mauritania | 0.0032 kt | 2050 | — | volatile |
| 51 | Rwanda | 0.0032 kt | 2050 | — | volatile |
| 53 | Bhutan | 0.0031 kt | 2050 | — | flat |
| 54 | Hungary | 0.0025 kt | 2050 | — | rising |
| 55 | Morocco | 0.0024 kt | 2050 | — | rising |
| 56 | Portugal | 0.0022 kt | 1972 | up 29.4% | rising |
| 56 | South Africa | 0.0022 kt | 2050 | — | falling |
| 58 | Sri Lanka | 0.0018 kt | 2050 | — | volatile |
| 58 | Saudi Arabia | 0.0018 kt | 2050 | — | volatile |
| 60 | Austria | 0.0017 kt | 2050 | — | volatile |
| 60 | Poland | 0.0017 kt | 2050 | — | volatile |
| 62 | Libya | 0.0014 kt | 2050 | — | volatile |
| 63 | Uzbekistan | 0.0012 kt | 2050 | — | volatile |
| 64 | Iraq | 0.0011 kt | 2050 | — | volatile |
| 65 | Czechoslovakia | 0.0008 kt | 1992 | up 300.0% | volatile |
| 66 | Bulgaria | 0.0007 kt | 2050 | — | volatile |
| 67 | Republic of Korea | 0.0005 kt | 2050 | — | volatile |
| 67 | Yugoslav SFR | 0.0005 kt | 1991 | up 25.0% | volatile |
| 69 | Czechia | 0.0004 kt | 2050 | — | volatile |
| 69 | Slovak Republic | 0.0004 kt | 2050 | — | rising |
| 71 | Mexico | 0.0003 kt | 2050 | — | volatile |
| 72 | Botswana | 0.0002 kt | 2050 | — | volatile |
| 72 | Switzerland | 0.0002 kt | 2023 | — | volatile |
| 74 | Spain | 0.0001 kt | 2050 | — | volatile |
| 74 | Croatia | 0.0001 kt | 2050 | — | volatile |
| 74 | Japan | 0.0001 kt | 2050 | — | volatile |
| 74 | Serbia | 0.0001 kt | 2050 | — | volatile |
| 74 | Slovenia | 0.0001 kt | 2050 | — | volatile |
| 74 | Serbia and Montenegro | 0.0001 kt | 2005 | — | volatile |
| 80 | Azerbaijan | 0 kt | 2050 | — | volatile |
| 80 | Greece | 0 kt | 2050 | — | volatile |
| 80 | Jordan | 0 kt | 2050 | — | volatile |
| 80 | Kyrgyzstan | 0 kt | 2050 | — | volatile |
| 80 | Maldives | 0 kt | 2023 | — | volatile |
| 80 | North Macedonia | 0 kt | 2023 | — | volatile |
| 80 | Tajikistan | 0 kt | 2050 | — | volatile |
| 80 | 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.
- World 13.17 kt
- Non-Annex I countries 12.86 kt
- Africa 8.4 kt
- Sub-Saharan Africa 8.39 kt
- Western Africa 6.92 kt
- Net Food Importing Developing Countries (NFIDCs) 5.6 kt
- Low Income Food Deficit Countries (LIFDCs) 5.36 kt
- Land Locked Developing Countries (LLDCs) 4.49 kt
- Southern Asia 3.92 kt
- Türkiye 0.0024 kt
- Eastern Africa 1.01 kt
- Eastern Asia 0.4186 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).