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 164 countries. The highest value is 57 1000 t in Indonesia; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 2.62 1000 t.
Over the past decade 21 countries rose and 22 fell. The largest increase was in Türkiye (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 | Türkiye | 29 1000 t | 2023 | up 866.7% | volatile |
| 3 | Germany | 24 1000 t | 2023 | up 26.3% | rising |
| 4 | United Arab Emirates | 20 1000 t | 2023 | up 42.9% | rising |
| 4 | Belgium | 20 1000 t | 2023 | down 4.8% | falling |
| 4 | Kenya | 20 1000 t | 2023 | up 150.0% | volatile |
| 7 | Nepal | 16 1000 t | 2023 | up 6.7% | rising |
| 8 | Italy | 13 1000 t | 2023 | up 8.3% | rising |
| 8 | Morocco | 13 1000 t | 2023 | up 333.3% | volatile |
| 8 | United Kingdom of Great Britain and Northern Ireland | 13 1000 t | 2023 | down 18.8% | flat |
| 11 | Poland | 11 1000 t | 2023 | up 450.0% | volatile |
| 11 | Senegal | 11 1000 t | 2023 | — | volatile |
| 11 | Uganda | 11 1000 t | 2023 | — | volatile |
| 14 | Canada | 10 1000 t | 2023 | unchanged | rising |
| 15 | Spain | 9 1000 t | 2023 | down 18.2% | rising |
| 15 | Libya | 9 1000 t | 2023 | up 350.0% | volatile |
| 15 | Philippines | 9 1000 t | 2023 | up 125.0% | volatile |
| 18 | Iraq | 8 1000 t | 2023 | — | volatile |
| 18 | Malaysia | 8 1000 t | 2023 | up 60.0% | rising |
| 18 | Thailand | 8 1000 t | 2023 | up 60.0% | rising |
| 18 | Netherlands (Kingdom of the) | 8 1000 t | 2023 | down 33.3% | falling |
| 22 | Afghanistan | 5 1000 t | 2023 | — | volatile |
| 22 | Israel | 5 1000 t | 2023 | up 66.7% | flat |
| 22 | Portugal | 5 1000 t | 2023 | up 25.0% | rising |
| 22 | Saudi Arabia | 5 1000 t | 2023 | down 50.0% | falling |
| 22 | Republic of Korea | 5 1000 t | 2023 | down 72.2% | falling |
| 27 | Bulgaria | 4 1000 t | 2023 | — | volatile |
| 27 | Oman | 4 1000 t | 2023 | up 300.0% | volatile |
| 27 | Tunisia | 4 1000 t | 2023 | — | volatile |
| 30 | Austria | 3 1000 t | 2023 | unchanged | flat |
| 30 | Bangladesh | 3 1000 t | 2023 | — | volatile |
| 30 | Czechia | 3 1000 t | 2023 | up 200.0% | volatile |
| 30 | Algeria | 3 1000 t | 2023 | up 200.0% | volatile |
| 30 | France | 3 1000 t | 2023 | unchanged | flat |
| 30 | Hungary | 3 1000 t | 2023 | up 50.0% | volatile |
| 36 | Burkina Faso | 2 1000 t | 2023 | — | volatile |
| 36 | Brazil | 2 1000 t | 2023 | down 60.0% | volatile |
| 36 | Switzerland | 2 1000 t | 2023 | down 33.3% | falling |
| 36 | China | 2 1000 t | 2023 | down 50.0% | falling |
| 36 | Greece | 2 1000 t | 2023 | — | volatile |
| 36 | Jordan | 2 1000 t | 2023 | — | volatile |
| 36 | Kazakhstan | 2 1000 t | 2023 | — | volatile |
| 36 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 36 | Pakistan | 2 1000 t | 2023 | down 50.0% | volatile |
| 36 | Qatar | 2 1000 t | 2023 | — | flat |
| 36 | Yemen | 2 1000 t | 2023 | down 91.3% | volatile |
| 36 | Viet Nam | 2 1000 t | 2023 | down 33.3% | flat |
| 36 | Australia and New Zealand | 2 1000 t | 2023 | up 100.0% | volatile |
| 36 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | volatile |
| 36 | China, Taiwan Province of | 2 1000 t | 2023 | down 50.0% | falling |
| 51 | Australia | 1 1000 t | 2023 | — | volatile |
| 51 | Bahrain | 1 1000 t | 2023 | — | flat |
| 51 | Chile | 1 1000 t | 2023 | — | volatile |
| 51 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 51 | Egypt | 1 1000 t | 2023 | — | volatile |
| 51 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 51 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 51 | Mexico | 1 1000 t | 2023 | down 66.7% | volatile |
| 51 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 51 | Namibia | 1 1000 t | 2023 | down 83.3% | volatile |
| 51 | Niger | 1 1000 t | 2023 | — | volatile |
| 51 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 51 | Serbia | 1 1000 t | 2023 | — | volatile |
| 51 | Slovakia | 1 1000 t | 2023 | unchanged | volatile |
| 51 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 51 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 51 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | volatile |
| 51 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 69 | Angola | 0 1000 t | 2023 | — | flat |
| 69 | Albania | 0 1000 t | 2023 | — | flat |
| 69 | Argentina | 0 1000 t | 2023 | — | flat |
| 69 | Armenia | 0 1000 t | 2023 | — | volatile |
| 69 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 69 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 69 | Bahamas | 0 1000 t | 2023 | — | flat |
| 69 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 69 | Belarus | 0 1000 t | 2022 | — | volatile |
| 69 | Belize | 0 1000 t | 2022 | — | flat |
| 69 | Barbados | 0 1000 t | 2023 | — | flat |
| 69 | Botswana | 0 1000 t | 2023 | — | flat |
| 69 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Congo | 0 1000 t | 2023 | — | flat |
| 69 | Colombia | 0 1000 t | 2023 | — | volatile |
| 69 | Cuba | 0 1000 t | 2017 | — | flat |
| 69 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 69 | Djibouti | 0 1000 t | 2023 | — | flat |
| 69 | Denmark | 0 1000 t | 2023 | — | volatile |
| 69 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 69 | Ecuador | 0 1000 t | 2022 | — | flat |
| 69 | Estonia | 0 1000 t | 2023 | — | flat |
| 69 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 69 | Finland | 0 1000 t | 2023 | — | flat |
| 69 | Fiji | 0 1000 t | 2023 | — | flat |
| 69 | Gabon | 0 1000 t | 2023 | — | flat |
| 69 | Georgia | 0 1000 t | 2023 | — | flat |
| 69 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Guinea | 0 1000 t | 2023 | — | flat |
| 69 | Gambia | 0 1000 t | 2023 | — | flat |
| 69 | Guyana | 0 1000 t | 2023 | — | flat |
| 69 | Honduras | 0 1000 t | 2023 | — | flat |
| 69 | Croatia | 0 1000 t | 2023 | — | flat |
| 69 | India | 0 1000 t | 2023 | — | volatile |
| 69 | Ireland | 0 1000 t | 2023 | — | flat |
| 69 | Iceland | 0 1000 t | 2023 | — | flat |
| 69 | Jamaica | 0 1000 t | 2023 | — | flat |
| 69 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 69 | Cambodia | 0 1000 t | 2023 | — | flat |
| 69 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 69 | Liberia | 0 1000 t | 2023 | — | flat |
| 69 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 69 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Lesotho | 0 1000 t | 2023 | — | flat |
| 69 | Lithuania | 0 1000 t | 2023 | — | flat |
| 69 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 69 | Latvia | 0 1000 t | 2023 | — | flat |
| 69 | Madagascar | 0 1000 t | 2023 | — | flat |
| 69 | Maldives | 0 1000 t | 2023 | — | flat |
| 69 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 69 | Malta | 0 1000 t | 2023 | — | flat |
| 69 | Myanmar | 0 1000 t | 2022 | down 100.0% | volatile |
| 69 | Montenegro | 0 1000 t | 2023 | — | flat |
| 69 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Mozambique | 0 1000 t | 2023 | — | flat |
| 69 | Malawi | 0 1000 t | 2023 | — | flat |
| 69 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 69 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 69 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 69 | Norway | 0 1000 t | 2023 | — | flat |
| 69 | Panama | 0 1000 t | 2023 | — | flat |
| 69 | Peru | 0 1000 t | 2023 | — | flat |
| 69 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 69 | Paraguay | 0 1000 t | 2023 | — | flat |
| 69 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 69 | Romania | 0 1000 t | 2023 | — | flat |
| 69 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 69 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 69 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 69 | Suriname | 0 1000 t | 2020 | — | flat |
| 69 | Sweden | 0 1000 t | 2023 | — | flat |
| 69 | Eswatini | 0 1000 t | 2023 | — | flat |
| 69 | Seychelles | 0 1000 t | 2023 | — | flat |
| 69 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 69 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 69 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 69 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Uruguay | 0 1000 t | 2023 | — | flat |
| 69 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 69 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 69 | Samoa | 0 1000 t | 2021 | — | flat |
| 69 | Zambia | 0 1000 t | 2023 | — | flat |
| 69 | Zimbabwe | 0 1000 t | 2022 | — | flat |
| 69 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 69 | Melanesia | 0 1000 t | 2023 | — | flat |
| 69 | Polynesia | 0 1000 t | 2023 | — | flat |
| 69 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 69 | Caribbean | 0 1000 t | 2023 | — | flat |
| 69 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 69 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 69 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 69 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 69 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 69 | China, mainland | 0 1000 t | 2023 | — | flat |
| 69 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | China, Macao SAR | 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 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
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.