Millet and products — Production 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
78
Highest
13,507 1000 t
India
Lowest
0 1000 t
China, Taiwan Province of
Median
21 1000 t
Years covered
14
2010–2023
Data points
1,592

What the numbers show

Millet and products — Production is currently reported for 78 countries. The highest value is 13,507 1000 t in India; the lowest is 0 1000 t in China, Taiwan Province of.

The median across all reporting countries is 21 1000 t, and the mean is 404.76 1000 t.

Over the past decade 33 countries rose and 32 fell. The largest increase was in Uzbekistan (up 1,650.0%), and the largest decrease in Mexico (down 100.0%).

Millet and products — Production: full country ranking

#Country LatestYear 10-year changeTrend
1 India 13,507 1000 t 2023 up 23.8% rising
2 Niger 3,346 1000 t 2023 up 14.5% falling
3 China 2,700 1000 t 2023 up 54.6% rising
3 China, mainland 2,700 1000 t 2023 up 54.6% rising
5 Nigeria 1,559 1000 t 2023 up 71.3% volatile
6 Senegal 1,353 1000 t 2023 up 162.7% rising
7 Ethiopia 1,100 1000 t 2023 up 29.6% rising
8 Burkina Faso 861 1000 t 2023 down 20.2% falling
9 United States 444 1000 t 2023 up 6.2% rising
10 Russia 440 1000 t 2023 up 5.0% falling
10 Russian Federation 440 1000 t 2023 up 5.0% falling
12 Nepal 311 1000 t 2023 up 1.6% rising
13 Pakistan 294 1000 t 2023 down 2.3% falling
14 United Republic of Tanzania 282 1000 t 2023 down 12.7% flat
15 Ghana 244 1000 t 2023 up 57.4% rising
16 Guinea 220 1000 t 2023 up 2.8% rising
17 Ukraine 204 1000 t 2023 up 100.0% flat
18 Myanmar 172 1000 t 2023 down 23.6% falling
19 Uganda 119 1000 t 2023 down 47.8% falling
20 Uzbekistan 105 1000 t 2023 up 1,650.0% volatile
21 Cameroon 100 1000 t 2023 up 5.3% rising
22 Zimbabwe 90 1000 t 2023 up 143.2% rising
23 Kenya 87 1000 t 2023 down 37.4% falling
24 Democratic People's Republic of Korea 73 1000 t 2018 up 12.3% rising
25 Cote d'Ivoire 62 1000 t 2023 up 24.0% rising
25 Côte d'Ivoire 62 1000 t 2023 up 24.0% rising
27 Malawi 50 1000 t 2023 up 28.2% rising
28 Zambia 47 1000 t 2023 up 95.8% flat
29 Yemen 45 1000 t 2023 down 45.8% falling
30 Gambia 42 1000 t 2023 down 55.3% falling
31 France 41 1000 t 2018 up 7.9% rising
31 Sierra Leone 41 1000 t 2023 up 5.1% flat
31 Democratic Republic of the Congo 41 1000 t 2023 down 10.9% flat
34 Australia 37 1000 t 2023 up 2.8% flat
34 Australia and New Zealand 37 1000 t 2023 up 2.8% flat
36 Kazakhstan 35 1000 t 2023 down 35.2% rising
37 Angola 30 1000 t 2023 down 23.1% flat
38 Guinea-Bissau 27 1000 t 2023 up 50.0% rising
39 Poland 22 1000 t 2018 up 15.8% rising
40 Namibia 20 1000 t 2023 down 20.0% rising
41 Belarus 17 1000 t 2023 down 15.0% flat
41 Mozambique 17 1000 t 2023 down 15.0% falling
43 Congo 14 1000 t 2023 unchanged rising
44 Saudi Arabia 13 1000 t 2023 up 225.0% rising
45 Bangladesh 12 1000 t 2023 down 40.0% falling
45 Iran (Islamic Republic of) 12 1000 t 2023 up 33.3% falling
47 Azerbaijan 11 1000 t 2023 — volatile
48 Argentina 10 1000 t 2023 down 9.1% volatile
48 Austria 10 1000 t 2020 up 42.9% rising
48 Sri Lanka 10 1000 t 2023 up 42.9% rising
51 Libya 6 1000 t 2023 unchanged falling
51 South Africa 6 1000 t 2023 down 14.3% falling
53 Bulgaria 5 1000 t 2018 down 16.7% falling
53 Morocco 5 1000 t 2023 down 16.7% falling
55 Turkey 4 1000 t 2023 down 33.3% falling
55 Türkiye 4 1000 t 2023 down 33.3% falling
57 Hungary 3 1000 t 2018 down 83.3% volatile
57 Mauritania 3 1000 t 2023 down 25.0% flat
59 Afghanistan 2 1000 t 2023 down 84.6% volatile
59 Spain 2 1000 t 2018 up 100.0% rising
59 Iraq 2 1000 t 2023 down 33.3% falling
59 Rwanda 2 1000 t 2023 down 60.0% falling
63 Bhutan 1 1000 t 2023 — falling
63 Botswana 1 1000 t 2023 unchanged volatile
63 Switzerland 1 1000 t 2023 — volatile
63 Czechia 1 1000 t 2018 down 50.0% falling
63 Slovakia 1 1000 t 2018 unchanged flat
63 Slovenia 1 1000 t 2018 — volatile
63 Syria 1 1000 t 2023 down 66.7% volatile
63 Vietnam 1 1000 t 2023 unchanged rising
63 Republic of Korea 1 1000 t 2023 down 50.0% falling
63 Syrian Arab Republic 1 1000 t 2023 down 66.7% volatile
63 Viet Nam 1 1000 t 2023 unchanged rising
74 Moldova 0 1000 t 2023 — volatile
74 Mexico 0 1000 t 2023 down 100.0% volatile
74 Tajikistan 0 1000 t 2023 — volatile
74 Republic of Moldova 0 1000 t 2023 — volatile
74 China, Taiwan Province of 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.

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Millet and products — Production by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/millet-and-products-production/

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About this data

Indicator
Millet and products — Production
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
121 places, 1,592 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.