Millet and products — Stock Variation 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
159
Highest
280 1000 t
Senegal
Lowest
-50 1000 t
Ethiopia
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,366

What the numbers show

Millet and products — Stock Variation is currently reported for 159 countries. The highest value is 280 1000 t in Senegal; the lowest is -50 1000 t in Ethiopia.

The median across all reporting countries is 0 1000 t, and the mean is 2.53 1000 t.

The gap between the highest and lowest reporting country is a factor of about 6.

Over the past decade 13 countries rose and 9 fell. The largest increase was in Senegal (up 450.0%), and the largest decrease in Ethiopia (down 2,400.0%).

Millet and products — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Senegal 280 1000 t 2023 up 450.0% volatile
2 Niger 120 1000 t 2023 up 133.8% volatile
3 India 56 1000 t 2023 up 214.3% volatile
4 Zimbabwe 30 1000 t 2023 volatile
5 Uzbekistan 16 1000 t 2023 volatile
6 Argentina 4 1000 t 2023 volatile
6 Democratic People's Republic of Korea 4 1000 t 2018 up 100.0% volatile
8 United Republic of Tanzania 2 1000 t 2023 down 33.3% rising
9 Bangladesh 1 1000 t 2023 unchanged volatile
9 Congo 1 1000 t 2023 volatile
9 Germany 1 1000 t 2023 down 75.0% volatile
9 Myanmar 1 1000 t 2023 up 120.0% volatile
13 Afghanistan 0 1000 t 2023 flat
13 Angola 0 1000 t 2023 flat
13 Albania 0 1000 t 2023 flat
13 United Arab Emirates 0 1000 t 2023 flat
13 Armenia 0 1000 t 2023 flat
13 Antigua and Barbuda 0 1000 t 2023 flat
13 Australia 0 1000 t 2023 flat
13 Austria 0 1000 t 2023 volatile
13 Azerbaijan 0 1000 t 2023 flat
13 Belgium 0 1000 t 2023 flat
13 Burkina Faso 0 1000 t 2023 volatile
13 Bulgaria 0 1000 t 2023 volatile
13 Bahrain 0 1000 t 2023 flat
13 Bahamas 0 1000 t 2023 flat
13 Bosnia and Herzegovina 0 1000 t 2023 flat
13 Belarus 0 1000 t 2023 flat
13 Belize 0 1000 t 2023 flat
13 Brazil 0 1000 t 2023 flat
13 Barbados 0 1000 t 2023 flat
13 Bhutan 0 1000 t 2023 flat
13 Botswana 0 1000 t 2023 flat
13 Canada 0 1000 t 2023 flat
13 Switzerland 0 1000 t 2023 flat
13 Chile 0 1000 t 2023 flat
13 Cameroon 0 1000 t 2023 flat
13 Colombia 0 1000 t 2023 flat
13 Costa Rica 0 1000 t 2023 flat
13 Cuba 0 1000 t 2019 flat
13 Cyprus 0 1000 t 2023 flat
13 Czechia 0 1000 t 2023 flat
13 Denmark 0 1000 t 2023 up 100.0% flat
13 Algeria 0 1000 t 2023 flat
13 Ecuador 0 1000 t 2023 flat
13 Egypt 0 1000 t 2023 volatile
13 Spain 0 1000 t 2023 volatile
13 Estonia 0 1000 t 2023 flat
13 Finland 0 1000 t 2023 flat
13 Fiji 0 1000 t 2023 flat
13 France 0 1000 t 2023 up 100.0% volatile
13 Gabon 0 1000 t 2023 flat
13 Georgia 0 1000 t 2023 flat
13 Ghana 0 1000 t 2023 flat
13 Gambia 0 1000 t 2023 up 100.0% flat
13 Guinea-Bissau 0 1000 t 2023 flat
13 Greece 0 1000 t 2023 flat
13 Guatemala 0 1000 t 2023 flat
13 Guyana 0 1000 t 2023 flat
13 Honduras 0 1000 t 2023 flat
13 Croatia 0 1000 t 2023 flat
13 Hungary 0 1000 t 2023 volatile
13 Indonesia 0 1000 t 2023 down 100.0% volatile
13 Ireland 0 1000 t 2023 flat
13 Iraq 0 1000 t 2023 volatile
13 Iceland 0 1000 t 2023 flat
13 Israel 0 1000 t 2023 flat
13 Italy 0 1000 t 2023 flat
13 Jamaica 0 1000 t 2023 flat
13 Jordan 0 1000 t 2023 volatile
13 Kazakhstan 0 1000 t 2023 down 100.0% volatile
13 Kyrgyzstan 0 1000 t 2023 flat
13 Cambodia 0 1000 t 2023 flat
13 Kuwait 0 1000 t 2023 flat
13 Lebanon 0 1000 t 2023 flat
13 Libya 0 1000 t 2023 flat
13 Saint Lucia 0 1000 t 2021 flat
13 Sri Lanka 0 1000 t 2023 volatile
13 Lithuania 0 1000 t 2023 flat
13 Luxembourg 0 1000 t 2023 flat
13 Latvia 0 1000 t 2023 flat
13 Morocco 0 1000 t 2023 volatile
13 Madagascar 0 1000 t 2023 flat
13 Maldives 0 1000 t 2023 flat
13 Mexico 0 1000 t 2023 flat
13 North Macedonia 0 1000 t 2023 flat
13 Malta 0 1000 t 2023 flat
13 Montenegro 0 1000 t 2023 flat
13 Mongolia 0 1000 t 2023 flat
13 Mozambique 0 1000 t 2023 up 100.0% volatile
13 Mauritania 0 1000 t 2023 flat
13 Mauritius 0 1000 t 2023 flat
13 Malawi 0 1000 t 2023 volatile
13 Malaysia 0 1000 t 2023 flat
13 Namibia 0 1000 t 2023 up 100.0% volatile
13 New Caledonia 0 1000 t 2023 flat
13 Nigeria 0 1000 t 2023 up 100.0% volatile
13 Nicaragua 0 1000 t 2023 flat
13 Norway 0 1000 t 2023 flat
13 Nepal 0 1000 t 2023 volatile
13 New Zealand 0 1000 t 2023 flat
13 Oman 0 1000 t 2023 flat
13 Pakistan 0 1000 t 2023 flat
13 Panama 0 1000 t 2023 flat
13 Peru 0 1000 t 2023 flat
13 Philippines 0 1000 t 2023 flat
13 Papua New Guinea 0 1000 t 2023 flat
13 Portugal 0 1000 t 2023 volatile
13 Paraguay 0 1000 t 2023 flat
13 French Polynesia 0 1000 t 2023 flat
13 Qatar 0 1000 t 2023 volatile
13 Romania 0 1000 t 2023 volatile
13 Rwanda 0 1000 t 2023 flat
13 Saudi Arabia 0 1000 t 2023 volatile
13 Sierra Leone 0 1000 t 2023 up 100.0% volatile
13 El Salvador 0 1000 t 2023 flat
13 Serbia 0 1000 t 2023 flat
13 Suriname 0 1000 t 2020 flat
13 Slovakia 0 1000 t 2023 flat
13 Slovenia 0 1000 t 2023 flat
13 Sweden 0 1000 t 2023 flat
13 Eswatini 0 1000 t 2023 flat
13 Thailand 0 1000 t 2023 flat
13 Tajikistan 0 1000 t 2023 flat
13 Turkmenistan 0 1000 t 2023 flat
13 Trinidad and Tobago 0 1000 t 2023 flat
13 Tunisia 0 1000 t 2023 volatile
13 Uganda 0 1000 t 2023 flat
13 Ukraine 0 1000 t 2023 flat
13 Uruguay 0 1000 t 2023 flat
13 Vanuatu 0 1000 t 2023 flat
13 Samoa 0 1000 t 2021 flat
13 Yemen 0 1000 t 2023 flat
13 Zambia 0 1000 t 2023 flat
13 Melanesia 0 1000 t 2023 flat
13 Polynesia 0 1000 t 2023 flat
13 Democratic Republic of the Congo 0 1000 t 2023 flat
13 Bolivia (Plurinational State of) 0 1000 t 2023 flat
13 China, Hong Kong SAR 0 1000 t 2023 flat
13 Iran (Islamic Republic of) 0 1000 t 2023 volatile
13 Republic of Korea 0 1000 t 2023 volatile
13 Republic of Moldova 0 1000 t 2023 flat
13 Russian Federation 0 1000 t 2023 up 100.0% volatile
13 Syrian Arab Republic 0 1000 t 2023 flat
13 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
13 Viet Nam 0 1000 t 2023 flat
13 Türkiye 0 1000 t 2023 volatile
13 Australia and New Zealand 0 1000 t 2023 flat
13 Côte d'Ivoire 0 1000 t 2023 flat
13 China, Taiwan Province of 0 1000 t 2023 flat
13 Netherlands (Kingdom of the) 0 1000 t 2023 flat
13 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
13 China, Macao SAR 0 1000 t 2023 flat
155 Guinea -1 1000 t 2023 volatile
156 Poland -6 1000 t 2023 down 100.0% volatile
157 China -12 1000 t 2023 down 180.0% volatile
157 China, mainland -12 1000 t 2023 down 185.7% volatile
159 Kenya -33 1000 t 2023 down 1,750.0% volatile
160 Ethiopia -50 1000 t 2023 down 2,400.0% volatile

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 — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
191 places, 2,366 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.