Millet and products — Domestic supply quantity 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 — Domestic supply quantity is currently reported for 118 countries. The highest value is 13,348 1000 t in India; the lowest is -20 1000 t in France.
The median across all reporting countries is 9 1000 t, and the mean is 262.46 1000 t.
The gap between the highest and lowest reporting country is a factor of about 667.
Over the past decade 43 countries rose and 44 fell. The largest increase was in Uzbekistan (up 850.0%), and the largest decrease in France (down 187.0%).
Millet and products — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 13,348 1000 t | 2023 | up 22.7% | flat |
| 2 | Niger | 3,226 1000 t | 2023 | down 1.6% | falling |
| 3 | China | 2,709 1000 t | 2023 | up 57.2% | rising |
| 4 | China, mainland | 2,706 1000 t | 2023 | up 57.5% | rising |
| 5 | Nigeria | 1,558 1000 t | 2023 | up 42.5% | falling |
| 6 | Ethiopia | 1,149 1000 t | 2023 | up 35.0% | rising |
| 7 | Senegal | 1,082 1000 t | 2023 | up 81.8% | rising |
| 8 | Burkina Faso | 863 1000 t | 2023 | down 19.9% | falling |
| 9 | United States | 372 1000 t | 2023 | down 10.6% | rising |
| 10 | Russia | 363 1000 t | 2023 | down 22.8% | falling |
| 10 | Russian Federation | 363 1000 t | 2023 | down 22.8% | falling |
| 12 | Nepal | 327 1000 t | 2023 | up 2.2% | rising |
| 13 | Pakistan | 293 1000 t | 2023 | down 3.9% | falling |
| 14 | United Republic of Tanzania | 272 1000 t | 2023 | down 19.8% | falling |
| 15 | Ghana | 244 1000 t | 2023 | up 56.4% | rising |
| 16 | Guinea | 221 1000 t | 2023 | up 2.8% | rising |
| 17 | Myanmar | 171 1000 t | 2023 | down 25.7% | falling |
| 18 | Kenya | 139 1000 t | 2023 | down 4.1% | rising |
| 19 | Ukraine | 134 1000 t | 2023 | up 112.7% | volatile |
| 20 | Uganda | 128 1000 t | 2023 | down 43.6% | falling |
| 21 | Cameroon | 100 1000 t | 2023 | up 4.2% | rising |
| 22 | Democratic People's Republic of Korea | 69 1000 t | 2018 | up 7.8% | flat |
| 23 | Cote d'Ivoire | 63 1000 t | 2023 | up 23.5% | rising |
| 23 | Côte d'Ivoire | 63 1000 t | 2023 | up 23.5% | rising |
| 25 | Zimbabwe | 59 1000 t | 2023 | up 59.5% | rising |
| 26 | Indonesia | 57 1000 t | 2023 | up 280.0% | volatile |
| 26 | Uzbekistan | 57 1000 t | 2023 | up 850.0% | volatile |
| 28 | Malawi | 49 1000 t | 2023 | up 25.6% | rising |
| 29 | Zambia | 47 1000 t | 2023 | up 95.8% | flat |
| 30 | Yemen | 45 1000 t | 2023 | down 56.7% | falling |
| 31 | Gambia | 42 1000 t | 2023 | down 62.2% | falling |
| 32 | Sierra Leone | 41 1000 t | 2023 | up 2.5% | flat |
| 32 | Democratic Republic of the Congo | 41 1000 t | 2023 | down 10.9% | flat |
| 34 | Australia and New Zealand | 38 1000 t | 2023 | up 11.8% | rising |
| 35 | Australia | 37 1000 t | 2023 | up 12.1% | rising |
| 36 | Kazakhstan | 31 1000 t | 2023 | down 3.1% | rising |
| 37 | Angola | 29 1000 t | 2023 | down 25.6% | flat |
| 38 | Guinea-Bissau | 27 1000 t | 2023 | up 50.0% | rising |
| 39 | Namibia | 22 1000 t | 2023 | down 48.8% | flat |
| 40 | United Arab Emirates | 20 1000 t | 2023 | up 42.9% | rising |
| 41 | Belgium | 19 1000 t | 2023 | up 11.8% | rising |
| 42 | Germany | 18 1000 t | 2023 | up 38.5% | rising |
| 42 | Morocco | 18 1000 t | 2023 | up 100.0% | rising |
| 42 | Saudi Arabia | 18 1000 t | 2023 | up 20.0% | rising |
| 45 | Mozambique | 17 1000 t | 2023 | down 43.3% | falling |
| 46 | Belarus | 16 1000 t | 2023 | down 20.0% | flat |
| 47 | Bangladesh | 15 1000 t | 2023 | down 21.1% | rising |
| 47 | Libya | 15 1000 t | 2023 | up 87.5% | rising |
| 49 | Congo | 13 1000 t | 2023 | down 7.1% | rising |
| 49 | United Kingdom | 13 1000 t | 2023 | down 18.8% | flat |
| 49 | Turkey | 13 1000 t | 2023 | up 62.5% | rising |
| 49 | Türkiye | 13 1000 t | 2023 | up 62.5% | rising |
| 49 | United Kingdom of Great Britain and Northern Ireland | 13 1000 t | 2023 | down 18.8% | flat |
| 54 | South Africa | 12 1000 t | 2023 | down 7.7% | falling |
| 54 | Iran (Islamic Republic of) | 12 1000 t | 2023 | up 20.0% | volatile |
| 56 | Azerbaijan | 11 1000 t | 2023 | — | volatile |
| 56 | Italy | 11 1000 t | 2023 | unchanged | flat |
| 58 | Iraq | 10 1000 t | 2023 | up 233.3% | volatile |
| 59 | Spain | 9 1000 t | 2023 | down 18.2% | rising |
| 59 | Sri Lanka | 9 1000 t | 2023 | unchanged | flat |
| 59 | Philippines | 9 1000 t | 2023 | up 125.0% | volatile |
| 62 | Malaysia | 8 1000 t | 2023 | up 60.0% | rising |
| 62 | Thailand | 8 1000 t | 2023 | up 60.0% | volatile |
| 64 | Afghanistan | 7 1000 t | 2023 | down 46.2% | volatile |
| 65 | Republic of Korea | 6 1000 t | 2023 | down 68.4% | falling |
| 66 | Israel | 5 1000 t | 2023 | up 66.7% | flat |
| 66 | Mauritania | 5 1000 t | 2023 | up 25.0% | rising |
| 66 | Portugal | 5 1000 t | 2023 | up 25.0% | rising |
| 69 | Canada | 4 1000 t | 2023 | down 20.0% | falling |
| 69 | Oman | 4 1000 t | 2023 | up 300.0% | volatile |
| 69 | Tunisia | 4 1000 t | 2023 | — | volatile |
| 69 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | down 50.0% | falling |
| 73 | Switzerland | 3 1000 t | 2023 | unchanged | flat |
| 73 | Algeria | 3 1000 t | 2023 | up 200.0% | volatile |
| 73 | China, Taiwan Province of | 3 1000 t | 2023 | down 40.0% | falling |
| 76 | Argentina | 2 1000 t | 2023 | down 60.0% | volatile |
| 76 | Bulgaria | 2 1000 t | 2023 | down 50.0% | volatile |
| 76 | Brazil | 2 1000 t | 2023 | down 60.0% | volatile |
| 76 | Greece | 2 1000 t | 2023 | — | volatile |
| 76 | Hungary | 2 1000 t | 2023 | down 60.0% | volatile |
| 76 | Jordan | 2 1000 t | 2023 | — | volatile |
| 76 | Qatar | 2 1000 t | 2023 | — | rising |
| 76 | Rwanda | 2 1000 t | 2023 | down 60.0% | falling |
| 76 | Vietnam | 2 1000 t | 2023 | up 100.0% | rising |
| 76 | Viet Nam | 2 1000 t | 2023 | up 100.0% | rising |
| 86 | Bahrain | 1 1000 t | 2023 | — | flat |
| 86 | Bhutan | 1 1000 t | 2023 | — | falling |
| 86 | Botswana | 1 1000 t | 2023 | down 50.0% | volatile |
| 86 | Chile | 1 1000 t | 2023 | — | volatile |
| 86 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 86 | Czechia | 1 1000 t | 2023 | unchanged | volatile |
| 86 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 86 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 86 | Mexico | 1 1000 t | 2023 | down 75.0% | volatile |
| 86 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 86 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 86 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 86 | Syria | 1 1000 t | 2023 | down 75.0% | volatile |
| 86 | Syrian Arab Republic | 1 1000 t | 2023 | down 75.0% | volatile |
| 100 | Armenia | 0 1000 t | 2023 | — | volatile |
| 100 | Colombia | 0 1000 t | 2023 | — | volatile |
| 100 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 100 | Denmark | 0 1000 t | 2023 | — | volatile |
| 100 | Finland | 0 1000 t | 2023 | — | volatile |
| 100 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 100 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 100 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Romania | 0 1000 t | 2023 | — | volatile |
| 100 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 100 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 100 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 100 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 178 | Austria | -1 1000 t | 2023 | down 125.0% | volatile |
| 178 | Egypt | -1 1000 t | 2023 | — | volatile |
| 180 | France | -20 1000 t | 2023 | down 187.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 31,498 1000 t
- Asia 17,281 1000 t
- Southern Asia 14,013 1000 t
- Africa 13,211 1000 t
- Net Food Importing Developing Countries (NFIDCs) 12,077 1000 t
- Low Income Food Deficit Countries (LIFDCs) 11,698 1000 t
- Least Developed Countries (LDCs) 11,523 1000 t
- Western Africa 9,395 1000 t
- Land Locked Developing Countries (LLDCs) 8,624 1000 t
- Eastern Asia 2,791 1000 t
- Eastern Africa 1,925 1000 t
- Northern Africa 1,028 1000 t
- Middle Africa 828 1000 t
- Europe 584 1000 t
- Eastern Europe 520 1000 t
- Americas 384 1000 t
- Northern America 375 1000 t
- United States of America 372 1000 t
- South-Eastern Asia 255 1000 t
- Western Asia 134 1000 t
- Central Asia 88 1000 t
- European Union (27) 52 1000 t
- Oceania 38 1000 t
- Southern Africa 34 1000 t
- Small island developing States (SIDS) 29 1000 t
- Southern Europe 28 1000 t
- Western Europe 22 1000 t
- Northern Europe 14 1000 t
- South America 5 1000 t
- Central America 3 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.