Millet and products — Losses 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 — Losses is currently reported for 55 countries. The highest value is 625 1000 t in India; the lowest is 0 1000 t in Vietnam.
The median across all reporting countries is 3 1000 t, and the mean is 40.95 1000 t.
Over the past decade 19 countries rose and 15 fell. The largest increase was in Ukraine (up 300.0%), and the largest decrease in Argentina (down 100.0%).
Millet and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 625 1000 t | 2023 | up 24.3% | rising |
| 2 | Niger | 438 1000 t | 2023 | up 14.4% | falling |
| 3 | Senegal | 237 1000 t | 2023 | up 166.3% | rising |
| 4 | Nigeria | 176 1000 t | 2023 | up 76.0% | volatile |
| 5 | China | 159 1000 t | 2023 | up 39.5% | rising |
| 5 | China, mainland | 159 1000 t | 2023 | up 39.5% | rising |
| 7 | Burkina Faso | 90 1000 t | 2023 | up 76.5% | rising |
| 8 | Ethiopia | 51 1000 t | 2023 | up 27.5% | rising |
| 9 | Guinea | 44 1000 t | 2023 | up 2.3% | rising |
| 10 | United Republic of Tanzania | 35 1000 t | 2023 | down 12.5% | flat |
| 11 | Ghana | 30 1000 t | 2023 | up 30.4% | flat |
| 12 | Nepal | 29 1000 t | 2023 | unchanged | rising |
| 13 | Russia | 26 1000 t | 2023 | down 58.7% | falling |
| 13 | Russian Federation | 26 1000 t | 2023 | down 58.7% | falling |
| 15 | United States | 22 1000 t | 2023 | unchanged | rising |
| 16 | Pakistan | 13 1000 t | 2023 | down 7.1% | falling |
| 17 | Kenya | 11 1000 t | 2023 | down 26.7% | falling |
| 18 | Myanmar | 8 1000 t | 2023 | down 27.3% | falling |
| 19 | Côte d'Ivoire | 7 1000 t | 2023 | up 16.7% | rising |
| 19 | Cote d'Ivoire | 7 1000 t | 2023 | up 16.7% | rising |
| 21 | Gambia | 6 1000 t | 2023 | down 50.0% | falling |
| 22 | Cameroon | 5 1000 t | 2023 | up 25.0% | rising |
| 23 | Democratic People's Republic of Korea | 4 1000 t | 2018 | unchanged | flat |
| 23 | Ukraine | 4 1000 t | 2023 | up 300.0% | rising |
| 23 | Uganda | 4 1000 t | 2023 | down 63.6% | falling |
| 26 | Zambia | 3 1000 t | 2023 | up 50.0% | falling |
| 26 | Zimbabwe | 3 1000 t | 2023 | up 50.0% | flat |
| 26 | Namibia | 3 1000 t | 2023 | up 200.0% | volatile |
| 29 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | flat |
| 29 | Türkiye | 2 1000 t | 2023 | up 100.0% | rising |
| 29 | Australia | 2 1000 t | 2023 | unchanged | flat |
| 29 | Malawi | 2 1000 t | 2023 | unchanged | rising |
| 29 | Democratic Republic of the Congo | 2 1000 t | 2023 | unchanged | falling |
| 29 | Sierra Leone | 2 1000 t | 2023 | unchanged | falling |
| 29 | Turkey | 2 1000 t | 2023 | up 100.0% | rising |
| 29 | Uzbekistan | 2 1000 t | 2023 | — | volatile |
| 29 | Yemen | 2 1000 t | 2023 | down 50.0% | falling |
| 38 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | rising |
| 38 | Iraq | 1 1000 t | 2023 | — | volatile |
| 38 | Belarus | 1 1000 t | 2023 | unchanged | rising |
| 38 | Morocco | 1 1000 t | 2023 | — | volatile |
| 38 | Congo | 1 1000 t | 2023 | unchanged | rising |
| 38 | Mozambique | 1 1000 t | 2023 | unchanged | falling |
| 38 | Bangladesh | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Mauritania | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Angola | 1 1000 t | 2023 | down 50.0% | flat |
| 47 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 47 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 47 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 47 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 47 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 47 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 47 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 47 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 47 | Vietnam | 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 2,568 1000 t
- Africa 1,664 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,502 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,479 1000 t
- Least Developed Countries (LDCs) 1,466 1000 t
- Western Africa 1,344 1000 t
- Land Locked Developing Countries (LLDCs) 1,016 1000 t
- Asia 848 1000 t
- Southern Asia 670 1000 t
- Eastern Asia 164 1000 t
- Eastern Africa 112 1000 t
- Northern Africa 107 1000 t
- Middle Africa 98 1000 t
- Eastern Europe 31 1000 t
- Europe 31 1000 t
- Americas 23 1000 t
- United States of America 22 1000 t
- Northern America 22 1000 t
- South-Eastern Asia 8 1000 t
- Western Asia 5 1000 t
- Southern Africa 4 1000 t
- Central Asia 2 1000 t
- Oceania 2 1000 t
- European Union (27) 1 1000 t
- South America 1 1000 t
- Small island developing States (SIDS) 1 1000 t
- Western Europe 0 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.