Millet and products — Import 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 — Import quantity is currently reported for 97 countries. The highest value is 57 1000 t in Indonesia; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 2 1000 t, and the mean is 5.01 1000 t.
Over the past decade 23 countries rose and 26 fell. The largest increase was in Turkey (up 866.7%), and the largest decrease in Cameroon (down 100.0%).
Millet and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 57 1000 t | 2023 | up 216.7% | volatile |
| 2 | Turkey | 29 1000 t | 2023 | up 866.7% | volatile |
| 2 | Türkiye | 29 1000 t | 2023 | up 866.7% | volatile |
| 4 | Germany | 24 1000 t | 2023 | up 26.3% | rising |
| 5 | United Arab Emirates | 20 1000 t | 2023 | up 42.9% | rising |
| 5 | Belgium | 20 1000 t | 2023 | down 4.8% | falling |
| 5 | Kenya | 20 1000 t | 2023 | up 150.0% | volatile |
| 8 | Nepal | 16 1000 t | 2023 | up 6.7% | rising |
| 9 | United Kingdom | 13 1000 t | 2023 | down 18.8% | flat |
| 9 | Italy | 13 1000 t | 2023 | up 8.3% | rising |
| 9 | Morocco | 13 1000 t | 2023 | up 333.3% | volatile |
| 9 | United Kingdom of Great Britain and Northern Ireland | 13 1000 t | 2023 | down 18.8% | flat |
| 13 | Poland | 11 1000 t | 2023 | up 450.0% | volatile |
| 13 | Senegal | 11 1000 t | 2023 | — | volatile |
| 13 | Uganda | 11 1000 t | 2023 | — | volatile |
| 16 | Canada | 10 1000 t | 2023 | unchanged | rising |
| 17 | Spain | 9 1000 t | 2023 | down 18.2% | rising |
| 17 | Libya | 9 1000 t | 2023 | up 350.0% | volatile |
| 17 | Philippines | 9 1000 t | 2023 | up 125.0% | volatile |
| 20 | Iraq | 8 1000 t | 2023 | — | volatile |
| 20 | Malaysia | 8 1000 t | 2023 | up 60.0% | rising |
| 20 | Thailand | 8 1000 t | 2023 | up 60.0% | rising |
| 20 | Netherlands (Kingdom of the) | 8 1000 t | 2023 | down 33.3% | falling |
| 24 | South Africa | 6 1000 t | 2023 | down 14.3% | rising |
| 25 | Afghanistan | 5 1000 t | 2023 | — | volatile |
| 25 | Israel | 5 1000 t | 2023 | up 66.7% | flat |
| 25 | Portugal | 5 1000 t | 2023 | up 25.0% | rising |
| 25 | Saudi Arabia | 5 1000 t | 2023 | down 50.0% | falling |
| 25 | Republic of Korea | 5 1000 t | 2023 | down 72.2% | falling |
| 30 | Bulgaria | 4 1000 t | 2023 | — | volatile |
| 30 | Oman | 4 1000 t | 2023 | up 300.0% | volatile |
| 30 | Tunisia | 4 1000 t | 2023 | — | volatile |
| 33 | Austria | 3 1000 t | 2023 | unchanged | flat |
| 33 | Bangladesh | 3 1000 t | 2023 | — | volatile |
| 33 | Czechia | 3 1000 t | 2023 | up 200.0% | volatile |
| 33 | Algeria | 3 1000 t | 2023 | up 200.0% | volatile |
| 33 | France | 3 1000 t | 2023 | unchanged | flat |
| 33 | Hungary | 3 1000 t | 2023 | up 50.0% | volatile |
| 33 | United States | 3 1000 t | 2023 | down 85.7% | volatile |
| 40 | Burkina Faso | 2 1000 t | 2023 | — | volatile |
| 40 | Brazil | 2 1000 t | 2023 | down 60.0% | volatile |
| 40 | Switzerland | 2 1000 t | 2023 | down 33.3% | falling |
| 40 | China | 2 1000 t | 2023 | down 50.0% | falling |
| 40 | Cote d'Ivoire | 2 1000 t | 2023 | up 100.0% | volatile |
| 40 | Greece | 2 1000 t | 2023 | — | volatile |
| 40 | Jordan | 2 1000 t | 2023 | — | volatile |
| 40 | Kazakhstan | 2 1000 t | 2023 | — | volatile |
| 40 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 40 | Pakistan | 2 1000 t | 2023 | down 50.0% | volatile |
| 40 | Qatar | 2 1000 t | 2023 | — | flat |
| 40 | Vietnam | 2 1000 t | 2023 | down 33.3% | flat |
| 40 | Yemen | 2 1000 t | 2023 | down 91.3% | volatile |
| 40 | Viet Nam | 2 1000 t | 2023 | down 33.3% | flat |
| 40 | Australia and New Zealand | 2 1000 t | 2023 | up 100.0% | volatile |
| 40 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | volatile |
| 40 | China, Taiwan Province of | 2 1000 t | 2023 | down 50.0% | falling |
| 57 | Australia | 1 1000 t | 2023 | — | volatile |
| 57 | Bahrain | 1 1000 t | 2023 | — | flat |
| 57 | Chile | 1 1000 t | 2023 | — | volatile |
| 57 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Egypt | 1 1000 t | 2023 | — | volatile |
| 57 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 57 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 57 | Mexico | 1 1000 t | 2023 | down 66.7% | volatile |
| 57 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 57 | Namibia | 1 1000 t | 2023 | down 83.3% | volatile |
| 57 | Niger | 1 1000 t | 2023 | — | volatile |
| 57 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 57 | Serbia | 1 1000 t | 2023 | — | volatile |
| 57 | Slovakia | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 57 | Syria | 1 1000 t | 2023 | — | volatile |
| 57 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 57 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 76 | Armenia | 0 1000 t | 2023 | — | volatile |
| 76 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 76 | Belarus | 0 1000 t | 2022 | — | volatile |
| 76 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 76 | Colombia | 0 1000 t | 2023 | — | volatile |
| 76 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 76 | Denmark | 0 1000 t | 2023 | — | volatile |
| 76 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 76 | India | 0 1000 t | 2023 | — | volatile |
| 76 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 76 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 76 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 76 | Myanmar | 0 1000 t | 2022 | down 100.0% | volatile |
| 76 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 76 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 76 | Russia | 0 1000 t | 2023 | — | volatile |
| 76 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 76 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 76 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 76 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 76 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 76 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 446 1000 t
- Asia 211 1000 t
- Europe 125 1000 t
- European Union (27) 109 1000 t
- Net Food Importing Developing Countries (NFIDCs) 101 1000 t
- Africa 88 1000 t
- South-Eastern Asia 83 1000 t
- Western Asia 81 1000 t
- Low Income Food Deficit Countries (LIFDCs) 73 1000 t
- Western Europe 60 1000 t
- Least Developed Countries (LDCs) 55 1000 t
- Land Locked Developing Countries (LLDCs) 38 1000 t
- Eastern Africa 31 1000 t
- Northern Africa 30 1000 t
- Southern Europe 30 1000 t
- Southern Asia 29 1000 t
- Eastern Europe 21 1000 t
- Americas 20 1000 t
- Western Africa 19 1000 t
- Eastern Asia 16 1000 t
- Northern Europe 14 1000 t
- Northern America 13 1000 t
- Southern Africa 7 1000 t
- South America 4 1000 t
- Central America 3 1000 t
- United States of America 3 1000 t
- Oceania 2 1000 t
- Small island developing States (SIDS) 2 1000 t
- Central Asia 2 1000 t
- Middle Africa 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.