Millet and products — Seed 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 — Seed is currently reported for 70 countries. The highest value is 253 1000 t in India; the lowest is 0 1000 t in Republic of Moldova.
The median across all reporting countries is 1 1000 t, and the mean is 8.63 1000 t.
Over the past decade 13 countries rose and 16 fell. The largest increase was in Ghana (up 600.0%), and the largest decrease in Argentina (down 100.0%).
Millet and products — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 253 1000 t | 2023 | up 1.2% | falling |
| 2 | Niger | 77 1000 t | 2023 | down 22.2% | falling |
| 3 | Nigeria | 49 1000 t | 2023 | up 75.0% | volatile |
| 4 | China | 47 1000 t | 2023 | up 14.6% | rising |
| 4 | China, mainland | 47 1000 t | 2023 | up 14.6% | rising |
| 6 | Ethiopia | 17 1000 t | 2023 | up 6.2% | rising |
| 7 | Russian Federation | 16 1000 t | 2023 | down 15.8% | falling |
| 8 | Burkina Faso | 9 1000 t | 2023 | down 71.0% | falling |
| 9 | Myanmar | 8 1000 t | 2023 | down 11.1% | falling |
| 9 | Guinea | 8 1000 t | 2023 | up 60.0% | rising |
| 11 | Ghana | 7 1000 t | 2023 | up 600.0% | volatile |
| 12 | Ukraine | 5 1000 t | 2023 | down 16.7% | volatile |
| 12 | Nepal | 5 1000 t | 2023 | down 16.7% | falling |
| 14 | Cameroon | 4 1000 t | 2023 | unchanged | flat |
| 14 | Pakistan | 4 1000 t | 2023 | down 33.3% | falling |
| 14 | United Republic of Tanzania | 4 1000 t | 2023 | down 20.0% | falling |
| 14 | Zimbabwe | 4 1000 t | 2023 | up 33.3% | flat |
| 18 | Senegal | 3 1000 t | 2023 | down 75.0% | volatile |
| 18 | Zambia | 3 1000 t | 2023 | up 200.0% | volatile |
| 18 | Yemen | 3 1000 t | 2023 | down 25.0% | falling |
| 18 | Uganda | 3 1000 t | 2023 | down 62.5% | falling |
| 18 | Malawi | 3 1000 t | 2023 | up 200.0% | volatile |
| 18 | Namibia | 3 1000 t | 2023 | unchanged | volatile |
| 24 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | rising |
| 24 | Democratic People's Republic of Korea | 2 1000 t | 2018 | up 100.0% | rising |
| 24 | Uzbekistan | 2 1000 t | 2023 | — | volatile |
| 24 | Kenya | 2 1000 t | 2023 | — | volatile |
| 24 | France | 2 1000 t | 2018 | up 100.0% | rising |
| 24 | Guinea-Bissau | 2 1000 t | 2023 | — | volatile |
| 24 | Sierra Leone | 2 1000 t | 2023 | unchanged | flat |
| 24 | Angola | 2 1000 t | 2023 | unchanged | flat |
| 32 | Poland | 1 1000 t | 2018 | unchanged | volatile |
| 32 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | rising |
| 32 | Mozambique | 1 1000 t | 2023 | unchanged | falling |
| 32 | Bangladesh | 1 1000 t | 2023 | down 50.0% | falling |
| 32 | Gambia | 1 1000 t | 2023 | unchanged | volatile |
| 32 | Kazakhstan | 1 1000 t | 2023 | down 66.7% | falling |
| 38 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 38 | Türkiye | 0 1000 t | 2023 | — | flat |
| 38 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 38 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 38 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 38 | Spain | 0 1000 t | 2018 | — | flat |
| 38 | Czechia | 0 1000 t | 2018 | — | flat |
| 38 | Botswana | 0 1000 t | 2023 | — | flat |
| 38 | Bhutan | 0 1000 t | 2023 | — | flat |
| 38 | Bulgaria | 0 1000 t | 2018 | — | flat |
| 38 | Austria | 0 1000 t | 2021 | — | flat |
| 38 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 38 | Australia | 0 1000 t | 2023 | — | flat |
| 38 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Morocco | 0 1000 t | 2023 | — | flat |
| 38 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 38 | Slovenia | 0 1000 t | 2018 | — | flat |
| 38 | Slovakia | 0 1000 t | 2018 | — | flat |
| 38 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 38 | Rwanda | 0 1000 t | 2023 | — | flat |
| 38 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 38 | Mexico | 0 1000 t | 2023 | — | flat |
| 38 | Maldives | 0 1000 t | 2023 | — | flat |
| 38 | Greece | 0 1000 t | 2014 | — | flat |
| 38 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 38 | Libya | 0 1000 t | 2023 | — | flat |
| 38 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Iraq | 0 1000 t | 2023 | — | flat |
| 38 | Hungary | 0 1000 t | 2018 | — | flat |
| 38 | Croatia | 0 1000 t | 2018 | — | flat |
| 38 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 38 | Republic of Moldova | 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 603 1000 t
- Asia 328 1000 t
- Southern Asia 264 1000 t
- Africa 253 1000 t
- Net Food Importing Developing Countries (NFIDCs) 211 1000 t
- Low Income Food Deficit Countries (LIFDCs) 199 1000 t
- Least Developed Countries (LDCs) 199 1000 t
- Western Africa 181 1000 t
- Land Locked Developing Countries (LLDCs) 154 1000 t
- Eastern Asia 49 1000 t
- Eastern Africa 38 1000 t
- Europe 21 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.