Sorghum 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
158
Highest
105 1000 t
Brazil
Lowest
-258 1000 t
Australia and New Zealand
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,397

What the numbers show

Sorghum and products — Stock Variation is currently reported for 158 countries. The highest value is 105 1000 t in Brazil; the lowest is -258 1000 t in Australia and New Zealand.

The median across all reporting countries is 0 1000 t, and the mean is -4.34 1000 t.

Over the past decade 24 countries rose and 14 fell. The largest increase was in Saudi Arabia (up 950.0%), and the largest decrease in Australia (down 2,245.4%).

Sorghum and products — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 105 1000 t 2023 volatile
2 China 39 1000 t 2023 up 108.4% volatile
2 China, mainland 39 1000 t 2023 up 108.4% volatile
4 Bolivia (Plurinational State of) 38 1000 t 2023 up 192.7% volatile
5 Saudi Arabia 17 1000 t 2023 up 950.0% volatile
6 Angola 14 1000 t 2023 up 800.0% volatile
7 Hungary 9 1000 t 2023 volatile
8 Lesotho 4 1000 t 2023 down 20.0% volatile
9 Zimbabwe 3 1000 t 2023 volatile
9 Republic of Moldova 3 1000 t 2023 up 400.0% volatile
11 Belize 2 1000 t 2023 up 100.0% volatile
11 Canada 2 1000 t 2023 volatile
11 Egypt 2 1000 t 2023 up 140.0% volatile
14 Bulgaria 1 1000 t 2023 up 200.0% volatile
14 Democratic People's Republic of Korea 1 1000 t 2018 volatile
16 Albania 0 1000 t 2023 flat
16 United Arab Emirates 0 1000 t 2023 flat
16 Armenia 0 1000 t 2020 flat
16 Antigua and Barbuda 0 1000 t 2023 flat
16 Austria 0 1000 t 2023 volatile
16 Azerbaijan 0 1000 t 2023 flat
16 Belgium 0 1000 t 2023 flat
16 Bangladesh 0 1000 t 2023 volatile
16 Bahrain 0 1000 t 2023 flat
16 Bahamas 0 1000 t 2023 flat
16 Bosnia and Herzegovina 0 1000 t 2023 flat
16 Belarus 0 1000 t 2023 flat
16 Barbados 0 1000 t 2023 flat
16 Switzerland 0 1000 t 2023 flat
16 Chile 0 1000 t 2023 flat
16 Cameroon 0 1000 t 2023 flat
16 Congo 0 1000 t 2023 flat
16 Costa Rica 0 1000 t 2023 flat
16 Cuba 0 1000 t 2019 flat
16 Cyprus 0 1000 t 2023 flat
16 Czechia 0 1000 t 2023 flat
16 Germany 0 1000 t 2023 flat
16 Djibouti 0 1000 t 2023 down 100.0% volatile
16 Denmark 0 1000 t 2023 flat
16 Dominican Republic 0 1000 t 2023 flat
16 Algeria 0 1000 t 2023 flat
16 Ecuador 0 1000 t 2023 flat
16 Estonia 0 1000 t 2023 flat
16 Finland 0 1000 t 2023 flat
16 Fiji 0 1000 t 2023 flat
16 France 0 1000 t 2023 volatile
16 Gabon 0 1000 t 2023 flat
16 Georgia 0 1000 t 2023 flat
16 Guinea 0 1000 t 2023 volatile
16 Gambia 0 1000 t 2023 flat
16 Guinea-Bissau 0 1000 t 2023 flat
16 Greece 0 1000 t 2023 flat
16 Guatemala 0 1000 t 2023 flat
16 Honduras 0 1000 t 2023 volatile
16 Croatia 0 1000 t 2023 flat
16 Haiti 0 1000 t 2023 flat
16 Indonesia 0 1000 t 2023 flat
16 Ireland 0 1000 t 2023 flat
16 Iraq 0 1000 t 2023 flat
16 Iceland 0 1000 t 2023 flat
16 Italy 0 1000 t 2023 up 100.0% volatile
16 Jamaica 0 1000 t 2023 flat
16 Jordan 0 1000 t 2023 volatile
16 Kazakhstan 0 1000 t 2023 volatile
16 Kyrgyzstan 0 1000 t 2023 flat
16 Cambodia 0 1000 t 2023 flat
16 Kuwait 0 1000 t 2023 flat
16 Lebanon 0 1000 t 2023 flat
16 Libya 0 1000 t 2023 volatile
16 Sri Lanka 0 1000 t 2023 flat
16 Lithuania 0 1000 t 2023 flat
16 Luxembourg 0 1000 t 2023 flat
16 Latvia 0 1000 t 2023 flat
16 Morocco 0 1000 t 2023 volatile
16 Madagascar 0 1000 t 2023 volatile
16 Maldives 0 1000 t 2023 flat
16 North Macedonia 0 1000 t 2023 flat
16 Malta 0 1000 t 2023 flat
16 Montenegro 0 1000 t 2023 flat
16 Mozambique 0 1000 t 2023 up 100.0% volatile
16 Mauritania 0 1000 t 2023 flat
16 Malawi 0 1000 t 2023 down 100.0% volatile
16 Malaysia 0 1000 t 2023 flat
16 Namibia 0 1000 t 2023 volatile
16 New Caledonia 0 1000 t 2023 flat
16 Nicaragua 0 1000 t 2023 up 100.0% volatile
16 Norway 0 1000 t 2023 flat
16 Nepal 0 1000 t 2023 flat
16 New Zealand 0 1000 t 2023 flat
16 Oman 0 1000 t 2023 volatile
16 Pakistan 0 1000 t 2023 flat
16 Panama 0 1000 t 2023 volatile
16 Peru 0 1000 t 2023 flat
16 Philippines 0 1000 t 2023 flat
16 Papua New Guinea 0 1000 t 2023 up 100.0% volatile
16 Poland 0 1000 t 2023 flat
16 Portugal 0 1000 t 2023 flat
16 Paraguay 0 1000 t 2023 flat
16 French Polynesia 0 1000 t 2018 flat
16 Qatar 0 1000 t 2023 volatile
16 Romania 0 1000 t 2023 up 100.0% volatile
16 Rwanda 0 1000 t 2023 down 100.0% volatile
16 Senegal 0 1000 t 2023 volatile
16 Solomon Islands 0 1000 t 2020 flat
16 Sierra Leone 0 1000 t 2023 volatile
16 El Salvador 0 1000 t 2023 flat
16 Serbia 0 1000 t 2023 flat
16 Slovakia 0 1000 t 2023 flat
16 Slovenia 0 1000 t 2023 flat
16 Sweden 0 1000 t 2023 flat
16 Eswatini 0 1000 t 2023 flat
16 Thailand 0 1000 t 2023 down 100.0% volatile
16 Tajikistan 0 1000 t 2023 flat
16 Turkmenistan 0 1000 t 2023 flat
16 Trinidad and Tobago 0 1000 t 2023 flat
16 Tunisia 0 1000 t 2023 flat
16 Uganda 0 1000 t 2023 flat
16 Uzbekistan 0 1000 t 2023 volatile
16 Vanuatu 0 1000 t 2023 flat
16 Samoa 0 1000 t 2020 flat
16 Yemen 0 1000 t 2023 up 100.0% volatile
16 Zambia 0 1000 t 2023 flat
16 Micronesia 0 1000 t 2023 flat
16 Melanesia 0 1000 t 2023 up 100.0% volatile
16 Polynesia 0 1000 t 2020 flat
16 Democratic Republic of the Congo 0 1000 t 2023 volatile
16 China, Hong Kong SAR 0 1000 t 2023 flat
16 Republic of Korea 0 1000 t 2023 flat
16 Russian Federation 0 1000 t 2023 up 100.0% volatile
16 Syrian Arab Republic 0 1000 t 2023 flat
16 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
16 Viet Nam 0 1000 t 2023 flat
16 Türkiye 0 1000 t 2023 flat
16 Côte d'Ivoire 0 1000 t 2023 flat
16 China, Taiwan Province of 0 1000 t 2023 up 100.0% volatile
16 Netherlands (Kingdom of the) 0 1000 t 2023 flat
16 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
16 Micronesia (Federated States of) 0 1000 t 2023 flat
140 Colombia -1 1000 t 2023 up 90.0% volatile
140 Israel -1 1000 t 2023 down 133.3% volatile
140 Ukraine -1 1000 t 2023 down 102.0% volatile
140 Iran (Islamic Republic of) -1 1000 t 2023 volatile
144 Uruguay -2 1000 t 2023 up 50.0% volatile
145 United Republic of Tanzania -5 1000 t 2023 volatile
146 Ghana -8 1000 t 2023 volatile
147 Myanmar -9 1000 t 2023 down 125.0% volatile
148 Botswana -11 1000 t 2023 volatile
149 Spain -19 1000 t 2023 volatile
149 Nigeria -19 1000 t 2023 up 97.8% volatile
151 Burkina Faso -21 1000 t 2023 up 30.0% volatile
152 Kenya -27 1000 t 2023 down 640.0% volatile
153 Ethiopia -30 1000 t 2023 up 70.0% volatile
154 Argentina -40 1000 t 2023 up 57.0% volatile
155 Mexico -56 1000 t 2023 down 307.4% volatile
156 Niger -75 1000 t 2023 down 266.7% volatile
157 India -123 1000 t 2023 down 1,657.1% volatile
158 Australia -258 1000 t 2023 down 2,245.4% volatile
158 Australia and New Zealand -258 1000 t 2023 down 2,245.4% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

Share, cite or embed this page

Cite this page

Sorghum and products — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/sorghum-and-products-stock-variation/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/sorghum-and-products-stock-variation/">Sorghum and products — Stock Variation by country</a> — Statizoid

About this data

Indicator
Sorghum 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
190 places, 2,397 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.