Millet and products — Food 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 — Food is currently reported for 55 countries. The highest value is 10,871 1000 t in India; the lowest is 0 1000 t in Egypt.
The median across all reporting countries is 22 1000 t, and the mean is 383.09 1000 t.
Over the past decade 21 countries rose and 26 fell. The largest increase was in Morocco (up 120.0%), and the largest decrease in Syrian Arab Republic (down 100.0%).
Millet and products — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 10,871 1000 t | 2023 | up 9.0% | falling |
| 2 | Niger | 2,266 1000 t | 2023 | down 4.8% | falling |
| 3 | China | 1,334 1000 t | 2023 | up 56.8% | rising |
| 4 | China, mainland | 1,331 1000 t | 2023 | up 57.3% | rising |
| 5 | Nigeria | 1,326 1000 t | 2023 | up 41.8% | rising |
| 6 | Ethiopia | 898 1000 t | 2023 | up 35.4% | rising |
| 7 | Burkina Faso | 717 1000 t | 2023 | down 23.8% | falling |
| 8 | Senegal | 472 1000 t | 2023 | up 31.1% | rising |
| 9 | Nepal | 292 1000 t | 2023 | up 2.5% | rising |
| 10 | Ghana | 182 1000 t | 2023 | up 54.2% | rising |
| 11 | Russia | 131 1000 t | 2023 | down 30.3% | falling |
| 11 | Russian Federation | 131 1000 t | 2023 | down 30.3% | falling |
| 13 | Pakistan | 130 1000 t | 2023 | down 1.5% | falling |
| 14 | United Republic of Tanzania | 116 1000 t | 2023 | down 20.5% | falling |
| 15 | Uganda | 103 1000 t | 2023 | down 41.8% | falling |
| 16 | Cameroon | 90 1000 t | 2023 | up 4.7% | rising |
| 17 | Kenya | 86 1000 t | 2023 | down 1.1% | rising |
| 18 | Democratic People's Republic of Korea | 46 1000 t | 2018 | up 7.0% | flat |
| 19 | Zimbabwe | 44 1000 t | 2023 | up 63.0% | rising |
| 20 | Malawi | 43 1000 t | 2023 | up 19.4% | rising |
| 21 | Yemen | 40 1000 t | 2023 | down 58.3% | falling |
| 22 | Cote d'Ivoire | 38 1000 t | 2023 | up 26.7% | rising |
| 22 | Côte d'Ivoire | 38 1000 t | 2023 | up 26.7% | rising |
| 24 | Sierra Leone | 36 1000 t | 2023 | up 5.9% | flat |
| 25 | Gambia | 32 1000 t | 2023 | down 63.6% | falling |
| 26 | Kazakhstan | 26 1000 t | 2023 | up 44.4% | volatile |
| 26 | Democratic Republic of the Congo | 26 1000 t | 2023 | down 13.3% | flat |
| 28 | Angola | 22 1000 t | 2023 | down 24.1% | flat |
| 29 | Myanmar | 21 1000 t | 2023 | down 25.0% | falling |
| 30 | Guinea-Bissau | 20 1000 t | 2023 | up 53.8% | rising |
| 31 | Saudi Arabia | 17 1000 t | 2023 | up 21.4% | rising |
| 32 | Mozambique | 16 1000 t | 2023 | down 40.7% | falling |
| 32 | Zambia | 16 1000 t | 2023 | up 100.0% | flat |
| 34 | Namibia | 15 1000 t | 2023 | down 58.3% | falling |
| 35 | Indonesia | 14 1000 t | 2023 | down 6.7% | rising |
| 36 | Bangladesh | 13 1000 t | 2023 | down 13.3% | rising |
| 37 | Morocco | 11 1000 t | 2023 | up 120.0% | rising |
| 38 | Guinea | 10 1000 t | 2023 | unchanged | flat |
| 39 | Sri Lanka | 9 1000 t | 2023 | up 12.5% | flat |
| 40 | Germany | 8 1000 t | 2023 | down 20.0% | falling |
| 41 | Afghanistan | 7 1000 t | 2023 | down 41.7% | volatile |
| 42 | Republic of Korea | 4 1000 t | 2023 | down 69.2% | falling |
| 42 | South Africa | 4 1000 t | 2023 | down 20.0% | flat |
| 44 | Tunisia | 3 1000 t | 2023 | — | volatile |
| 44 | China, Taiwan Province of | 3 1000 t | 2023 | down 40.0% | falling |
| 44 | Mauritania | 3 1000 t | 2023 | unchanged | rising |
| 47 | Ukraine | 2 1000 t | 2023 | down 93.8% | volatile |
| 47 | Qatar | 2 1000 t | 2023 | — | rising |
| 47 | Rwanda | 2 1000 t | 2023 | down 60.0% | flat |
| 50 | Botswana | 1 1000 t | 2023 | unchanged | volatile |
| 50 | Bhutan | 1 1000 t | 2023 | — | flat |
| 50 | Bahrain | 1 1000 t | 2023 | — | rising |
| 53 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Egypt | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 22,377 1000 t
- Asia 12,849 1000 t
- Southern Asia 11,323 1000 t
- Africa 9,387 1000 t
- Net Food Importing Developing Countries (NFIDCs) 8,255 1000 t
- Low Income Food Deficit Countries (LIFDCs) 8,170 1000 t
- Least Developed Countries (LDCs) 7,962 1000 t
- Western Africa 6,499 1000 t
- Land Locked Developing Countries (LLDCs) 6,361 1000 t
- Eastern Asia 1,405 1000 t
- Eastern Africa 1,373 1000 t
- Northern Africa 814 1000 t
- Middle Africa 681 1000 t
- Europe 141 1000 t
- Eastern Europe 133 1000 t
- Western Asia 60 1000 t
- South-Eastern Asia 35 1000 t
- Central Asia 26 1000 t
- Small island developing States (SIDS) 21 1000 t
- Southern Africa 20 1000 t
- European Union (27) 8 1000 t
- Western Europe 8 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.