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...

Countries reporting
164
Highest
57 1000 t
Indonesia
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,513

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 LatestYear 10-year changeTrend
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.

About this data

Indicator
Millet and products — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
195 places, 2,513 data points, 2010–2023
Last refreshed

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.