Millet and products — Protein supply quantity (g/capita/day) 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 — Protein supply quantity (g/capita/day) is currently reported for 52 countries. The highest value is 18.96 g/cap/d in Niger; the lowest is 0 g/cap/d in Lesotho.
The median across all reporting countries is 0.14 g/cap/d, and the mean is 0.9696 g/cap/d.
Over the past decade 12 countries rose and 30 fell. The largest increase was in Morocco (up 75.0%), and the largest decrease in Ukraine (down 93.3%).
Millet and products — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 18.96 g/cap/d | 2023 | down 23.6% | falling |
| 2 | Burkina Faso | 6.02 g/cap/d | 2023 | down 41.4% | falling |
| 3 | Senegal | 4.37 g/cap/d | 2023 | down 0.5% | falling |
| 4 | Gambia | 2.75 g/cap/d | 2023 | down 70.0% | volatile |
| 5 | Nepal | 2.36 g/cap/d | 2023 | down 4.8% | flat |
| 6 | Guinea-Bissau | 2.08 g/cap/d | 2023 | up 20.9% | rising |
| 7 | India | 1.81 g/cap/d | 2023 | down 1.6% | falling |
| 8 | Ethiopia | 1.65 g/cap/d | 2023 | up 3.1% | rising |
| 9 | Nigeria | 1.27 g/cap/d | 2023 | up 12.4% | flat |
| 10 | Ghana | 1.18 g/cap/d | 2023 | up 25.5% | falling |
| 11 | Namibia | 1.16 g/cap/d | 2023 | down 68.8% | falling |
| 12 | Sierra Leone | 0.92 g/cap/d | 2023 | down 17.1% | falling |
| 13 | Cameroon | 0.73 g/cap/d | 2023 | down 21.5% | falling |
| 14 | Zimbabwe | 0.57 g/cap/d | 2023 | up 39.0% | flat |
| 15 | Malawi | 0.5 g/cap/d | 2023 | down 9.1% | flat |
| 16 | Uganda | 0.44 g/cap/d | 2023 | down 57.3% | volatile |
| 17 | Kenya | 0.36 g/cap/d | 2023 | down 20.0% | flat |
| 18 | Kazakhstan | 0.28 g/cap/d | 2023 | up 21.7% | volatile |
| 19 | Yemen | 0.24 g/cap/d | 2023 | down 68.4% | falling |
| 20 | Russian Federation | 0.2 g/cap/d | 2023 | down 28.6% | falling |
| 21 | China | 0.19 g/cap/d | 2023 | up 58.3% | rising |
| 21 | China, mainland | 0.19 g/cap/d | 2023 | up 46.2% | rising |
| 21 | Zambia | 0.19 g/cap/d | 2023 | up 58.3% | falling |
| 24 | Bhutan | 0.16 g/cap/d | 2023 | — | falling |
| 25 | Mauritania | 0.15 g/cap/d | 2023 | down 11.8% | flat |
| 26 | Guinea | 0.14 g/cap/d | 2023 | down 22.2% | falling |
| 26 | Angola | 0.14 g/cap/d | 2023 | down 46.2% | falling |
| 28 | Qatar | 0.13 g/cap/d | 2023 | — | rising |
| 28 | Pakistan | 0.13 g/cap/d | 2023 | down 13.3% | falling |
| 28 | Saudi Arabia | 0.13 g/cap/d | 2023 | up 8.3% | flat |
| 31 | Maldives | 0.12 g/cap/d | 2023 | down 14.3% | falling |
| 32 | Mozambique | 0.11 g/cap/d | 2023 | down 56.0% | volatile |
| 33 | Bahrain | 0.1 g/cap/d | 2023 | — | flat |
| 34 | Sri Lanka | 0.09 g/cap/d | 2023 | unchanged | falling |
| 34 | Myanmar | 0.09 g/cap/d | 2023 | down 30.8% | falling |
| 34 | New Caledonia | 0.09 g/cap/d | 2023 | up 12.5% | rising |
| 37 | Botswana | 0.08 g/cap/d | 2023 | down 46.7% | volatile |
| 38 | Morocco | 0.07 g/cap/d | 2023 | up 75.0% | rising |
| 39 | Tunisia | 0.06 g/cap/d | 2023 | — | volatile |
| 40 | Afghanistan | 0.03 g/cap/d | 2023 | down 62.5% | volatile |
| 40 | China, Taiwan Province of | 0.03 g/cap/d | 2023 | down 40.0% | falling |
| 40 | Rwanda | 0.03 g/cap/d | 2023 | down 66.7% | falling |
| 43 | Seychelles | 0.02 g/cap/d | 2023 | — | volatile |
| 43 | Germany | 0.02 g/cap/d | 2023 | down 33.3% | falling |
| 43 | Bangladesh | 0.02 g/cap/d | 2023 | down 33.3% | falling |
| 43 | South Africa | 0.02 g/cap/d | 2023 | unchanged | flat |
| 47 | Indonesia | 0.01 g/cap/d | 2023 | down 50.0% | falling |
| 47 | Republic of Korea | 0.01 g/cap/d | 2023 | down 80.0% | falling |
| 47 | Montenegro | 0.01 g/cap/d | 2023 | — | volatile |
| 47 | Ukraine | 0.01 g/cap/d | 2023 | down 93.3% | volatile |
| 51 | Liberia | 0 g/cap/d | 2023 | — | volatile |
| 51 | Lesotho | 0 g/cap/d | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Western Africa 3.09 g/cap/d
- Least Developed Countries (LDCs) 1.5 g/cap/d
- Land Locked Developing Countries (LLDCs) 2.42 g/cap/d
- Middle Africa 0.74 g/cap/d
- Low Income Food Deficit Countries (LIFDCs) 1.68 g/cap/d
- Asia 0.64 g/cap/d
- Africa 1.39 g/cap/d
- United Republic of Tanzania 0.42 g/cap/d
- Southern Asia 1.33 g/cap/d
- Democratic People's Republic of Korea 0.32 g/cap/d
- Net Food Importing Developing Countries (NFIDCs) 1 g/cap/d
- Small island developing States (SIDS) 0.07 g/cap/d
- Northern Africa 0.7 g/cap/d
- Democratic Republic of the Congo 0.06 g/cap/d
- Eastern Africa 0.67 g/cap/d
- Syrian Arab Republic 0 g/cap/d
- World 0.63 g/cap/d
- Côte d'Ivoire 0.27 g/cap/d
- Eastern Asia 0.17 g/cap/d
- Eastern Europe 0.1 g/cap/d
- Central Asia 0.07 g/cap/d
- Southern Africa 0.06 g/cap/d
- Western Asia 0.05 g/cap/d
- Europe 0.04 g/cap/d
- South-Eastern Asia 0.01 g/cap/d
- Western Europe 0.01 g/cap/d
- European Union (27) 0 g/cap/d
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.