Millet and products — Feed by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Millet and products — Feed is currently reported for 151 countries. The highest value is 1,600 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 39.61 1000 t.
Over the past decade 30 countries rose and 30 fell. The largest increase was in Uzbekistan (up 960.0%), and the largest decrease in Austria (down 100.0%).
Millet and products — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,600 1000 t | 2023 | up 945.8% | volatile |
| 2 | China | 1,169 1000 t | 2023 | up 63.0% | rising |
| 2 | China, mainland | 1,169 1000 t | 2023 | up 63.0% | rising |
| 4 | Niger | 445 1000 t | 2023 | up 7.0% | falling |
| 5 | Senegal | 370 1000 t | 2023 | up 176.1% | rising |
| 6 | Russian Federation | 190 1000 t | 2023 | down 5.0% | falling |
| 7 | Guinea | 160 1000 t | 2023 | up 1.9% | rising |
| 8 | Pakistan | 147 1000 t | 2023 | down 3.9% | falling |
| 9 | Myanmar | 134 1000 t | 2023 | down 26.8% | falling |
| 10 | Ukraine | 90 1000 t | 2023 | up 309.1% | volatile |
| 11 | Uzbekistan | 53 1000 t | 2023 | up 960.0% | volatile |
| 12 | Burkina Faso | 47 1000 t | 2023 | down 14.5% | volatile |
| 13 | Australia and New Zealand | 36 1000 t | 2023 | up 12.5% | rising |
| 14 | Australia | 35 1000 t | 2023 | up 12.9% | rising |
| 15 | Ethiopia | 25 1000 t | 2023 | up 66.7% | rising |
| 16 | United Arab Emirates | 20 1000 t | 2023 | up 42.9% | rising |
| 17 | Belgium | 19 1000 t | 2023 | up 11.8% | rising |
| 18 | Democratic People's Republic of Korea | 17 1000 t | 2018 | up 13.3% | falling |
| 19 | Belarus | 16 1000 t | 2023 | down 20.0% | flat |
| 20 | Libya | 15 1000 t | 2023 | up 87.5% | rising |
| 21 | Kenya | 13 1000 t | 2023 | up 30.0% | rising |
| 21 | United Kingdom of Great Britain and Northern Ireland | 13 1000 t | 2023 | down 18.8% | flat |
| 23 | Congo | 12 1000 t | 2023 | down 7.7% | rising |
| 24 | Azerbaijan | 11 1000 t | 2023 | — | volatile |
| 24 | Italy | 11 1000 t | 2023 | unchanged | flat |
| 24 | Iran (Islamic Republic of) | 11 1000 t | 2023 | up 22.2% | volatile |
| 24 | Türkiye | 11 1000 t | 2023 | up 57.1% | flat |
| 28 | Germany | 10 1000 t | 2023 | up 233.3% | rising |
| 28 | Iraq | 10 1000 t | 2023 | up 233.3% | volatile |
| 30 | Spain | 9 1000 t | 2023 | down 18.2% | rising |
| 30 | Philippines | 9 1000 t | 2023 | up 125.0% | volatile |
| 32 | Malaysia | 8 1000 t | 2023 | up 60.0% | rising |
| 32 | Thailand | 8 1000 t | 2023 | up 60.0% | rising |
| 34 | Nigeria | 7 1000 t | 2023 | down 75.9% | volatile |
| 35 | Ghana | 6 1000 t | 2023 | — | volatile |
| 36 | Israel | 5 1000 t | 2023 | up 66.7% | flat |
| 36 | Portugal | 5 1000 t | 2023 | up 25.0% | rising |
| 38 | Canada | 4 1000 t | 2023 | down 20.0% | falling |
| 38 | France | 4 1000 t | 2018 | down 71.4% | flat |
| 38 | Oman | 4 1000 t | 2023 | up 300.0% | volatile |
| 38 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | down 50.0% | falling |
| 42 | Switzerland | 3 1000 t | 2023 | unchanged | falling |
| 42 | Algeria | 3 1000 t | 2023 | up 200.0% | volatile |
| 42 | Kazakhstan | 3 1000 t | 2023 | down 66.7% | volatile |
| 42 | Morocco | 3 1000 t | 2023 | up 50.0% | rising |
| 46 | Bulgaria | 2 1000 t | 2023 | down 50.0% | volatile |
| 46 | Brazil | 2 1000 t | 2023 | down 60.0% | volatile |
| 46 | Cameroon | 2 1000 t | 2023 | up 100.0% | rising |
| 46 | Greece | 2 1000 t | 2023 | — | volatile |
| 46 | Hungary | 2 1000 t | 2023 | down 60.0% | volatile |
| 46 | Jordan | 2 1000 t | 2023 | — | volatile |
| 46 | Sierra Leone | 2 1000 t | 2023 | unchanged | flat |
| 46 | Democratic Republic of the Congo | 2 1000 t | 2023 | — | volatile |
| 46 | Republic of Korea | 2 1000 t | 2023 | down 66.7% | falling |
| 46 | Viet Nam | 2 1000 t | 2023 | up 100.0% | rising |
| 46 | United Republic of Tanzania | 2 1000 t | 2023 | unchanged | rising |
| 57 | Angola | 1 1000 t | 2023 | down 50.0% | rising |
| 57 | Argentina | 1 1000 t | 2023 | down 75.0% | volatile |
| 57 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 57 | Chile | 1 1000 t | 2023 | — | volatile |
| 57 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Czechia | 1 1000 t | 2023 | — | volatile |
| 57 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 57 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 57 | Mexico | 1 1000 t | 2023 | down 75.0% | volatile |
| 57 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 57 | Malawi | 1 1000 t | 2023 | — | volatile |
| 57 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 57 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Zambia | 1 1000 t | 2023 | down 50.0% | rising |
| 57 | Syrian Arab Republic | 1 1000 t | 2023 | down 50.0% | volatile |
| 72 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 72 | Albania | 0 1000 t | 2023 | — | flat |
| 72 | Armenia | 0 1000 t | 2023 | — | volatile |
| 72 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Bahamas | 0 1000 t | 2023 | — | flat |
| 72 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 72 | Belize | 0 1000 t | 2022 | — | flat |
| 72 | Barbados | 0 1000 t | 2023 | — | flat |
| 72 | Bhutan | 0 1000 t | 2023 | — | flat |
| 72 | Botswana | 0 1000 t | 2023 | — | flat |
| 72 | Colombia | 0 1000 t | 2023 | — | volatile |
| 72 | Cuba | 0 1000 t | 2017 | — | flat |
| 72 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 72 | Denmark | 0 1000 t | 2023 | — | volatile |
| 72 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 72 | Ecuador | 0 1000 t | 2022 | — | flat |
| 72 | Egypt | 0 1000 t | 2018 | — | volatile |
| 72 | Estonia | 0 1000 t | 2022 | — | flat |
| 72 | Finland | 0 1000 t | 2023 | — | flat |
| 72 | Fiji | 0 1000 t | 2023 | — | flat |
| 72 | Gabon | 0 1000 t | 2023 | — | flat |
| 72 | Georgia | 0 1000 t | 2023 | — | flat |
| 72 | Gambia | 0 1000 t | 2023 | — | flat |
| 72 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Guyana | 0 1000 t | 2023 | — | flat |
| 72 | Honduras | 0 1000 t | 2023 | — | flat |
| 72 | Croatia | 0 1000 t | 2023 | — | volatile |
| 72 | Ireland | 0 1000 t | 2023 | — | flat |
| 72 | Iceland | 0 1000 t | 2023 | — | flat |
| 72 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 72 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 72 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 72 | Lesotho | 0 1000 t | 2023 | — | flat |
| 72 | Lithuania | 0 1000 t | 2014 | — | flat |
| 72 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 72 | Latvia | 0 1000 t | 2017 | — | flat |
| 72 | Maldives | 0 1000 t | 2023 | — | flat |
| 72 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 72 | Malta | 0 1000 t | 2023 | — | flat |
| 72 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Mauritania | 0 1000 t | 2023 | — | flat |
| 72 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 72 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 72 | Norway | 0 1000 t | 2023 | — | flat |
| 72 | Nepal | 0 1000 t | 2023 | — | flat |
| 72 | Panama | 0 1000 t | 2023 | — | flat |
| 72 | Peru | 0 1000 t | 2023 | — | flat |
| 72 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Paraguay | 0 1000 t | 2023 | — | flat |
| 72 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 72 | Qatar | 0 1000 t | 2023 | — | volatile |
| 72 | Romania | 0 1000 t | 2023 | — | flat |
| 72 | Rwanda | 0 1000 t | 2023 | — | flat |
| 72 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 72 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 72 | Suriname | 0 1000 t | 2020 | — | flat |
| 72 | Slovakia | 0 1000 t | 2021 | down 100.0% | falling |
| 72 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 72 | Sweden | 0 1000 t | 2023 | — | flat |
| 72 | Eswatini | 0 1000 t | 2023 | — | flat |
| 72 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 72 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 72 | Uganda | 0 1000 t | 2023 | — | flat |
| 72 | Uruguay | 0 1000 t | 2023 | — | flat |
| 72 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 72 | Yemen | 0 1000 t | 2023 | — | flat |
| 72 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 72 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 72 | Melanesia | 0 1000 t | 2023 | — | flat |
| 72 | Polynesia | 0 1000 t | 2023 | — | flat |
| 72 | Caribbean | 0 1000 t | 2023 | — | flat |
| 72 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 72 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 72 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 72 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 72 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 72 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,426 1000 t
- Asia 3,256 1000 t
- Southern Asia 1,758 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,626 1000 t
- Least Developed Countries (LDCs) 1,457 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,403 1000 t
- Africa 1,395 1000 t
- Western Africa 1,238 1000 t
- Eastern Asia 1,173 1000 t
- Land Locked Developing Countries (LLDCs) 785 1000 t
- Europe 378 1000 t
- Americas 361 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.