Sorghum and products — Losses 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
82
Highest
481 1000 t
China
Lowest
0 1000 t
Tunisia
Median
3 1000 t
Years covered
14
2010–2023
Data points
1,980

What the numbers show

Sorghum and products — Losses is currently reported for 82 countries. The highest value is 481 1000 t in China; the lowest is 0 1000 t in Tunisia.

The median across all reporting countries is 3 1000 t, and the mean is 42.22 1000 t.

Over the past decade 23 countries rose and 33 fell. The largest increase was in Oman (up 700.0%), and the largest decrease in Bulgaria (down 100.0%).

Sorghum and products — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 China 481 1000 t 2023 up 105.6% volatile
1 China, mainland 481 1000 t 2023 up 105.6% volatile
3 United States 367 1000 t 2023 down 13.0% falling
4 Nigeria 292 1000 t 2023 up 16.8% flat
5 Niger 238 1000 t 2023 up 24.0% rising
6 Mexico 224 1000 t 2023 down 22.0% falling
7 Ethiopia 179 1000 t 2023 up 4.1% rising
8 India 177 1000 t 2023 down 30.6% falling
9 Burkina Faso 129 1000 t 2023 up 44.9% rising
10 Cameroon 120 1000 t 2023 down 36.2% falling
11 Brazil 113 1000 t 2023 up 109.3% rising
12 United Republic of Tanzania 76 1000 t 2023 down 26.2% falling
13 Argentina 74 1000 t 2023 down 57.0% falling
14 Ghana 67 1000 t 2023 up 71.8% rising
15 Senegal 65 1000 t 2023 up 364.3% volatile
16 Egypt 55 1000 t 2023 up 44.7% rising
17 Australia 51 1000 t 2023 down 51.4% falling
17 Australia and New Zealand 51 1000 t 2023 down 51.4% falling
19 Kenya 34 1000 t 2023 up 9.7% rising
20 Guinea 13 1000 t 2023 up 62.5% rising
21 Uganda 10 1000 t 2023 down 28.6% falling
21 Bolivia (Plurinational State of) 10 1000 t 2023 up 66.7% volatile
23 Cote d'Ivoire 9 1000 t 2023 up 50.0% rising
23 Yemen 9 1000 t 2023 down 55.0% falling
23 Côte d'Ivoire 9 1000 t 2023 up 50.0% rising
26 Oman 8 1000 t 2023 up 700.0% volatile
26 Saudi Arabia 8 1000 t 2023 up 33.3% rising
28 Myanmar 7 1000 t 2023 down 36.4% falling
28 Mozambique 7 1000 t 2023 up 16.7% volatile
28 Mauritania 7 1000 t 2023 down 12.5% flat
31 South Africa 6 1000 t 2023 down 14.3% falling
32 Italy 5 1000 t 2023 unchanged rising
32 Malawi 5 1000 t 2023 up 25.0% rising
32 Paraguay 5 1000 t 2023 unchanged falling
32 Russia 5 1000 t 2023 up 400.0% volatile
32 El Salvador 5 1000 t 2023 down 28.6% falling
32 Russian Federation 5 1000 t 2023 up 400.0% volatile
38 France 3 1000 t 2023 down 57.1% volatile
38 Hungary 3 1000 t 2023 up 200.0% volatile
38 Nicaragua 3 1000 t 2023 down 70.0% falling
38 Sierra Leone 3 1000 t 2023 up 200.0% rising
38 Zimbabwe 3 1000 t 2023 unchanged rising
43 Angola 2 1000 t 2023 unchanged rising
43 Austria 2 1000 t 2023 — volatile
43 Israel 2 1000 t 2023 down 33.3% falling
43 Pakistan 2 1000 t 2023 down 66.7% falling
43 Romania 2 1000 t 2023 down 60.0% rising
43 Thailand 2 1000 t 2023 unchanged falling
43 Uruguay 2 1000 t 2023 down 80.0% volatile
43 Democratic People's Republic of Korea 2 1000 t 2018 unchanged flat
51 Belize 1 1000 t 2023 unchanged volatile
51 Botswana 1 1000 t 2023 — volatile
51 Ecuador 1 1000 t 2023 unchanged flat
51 Gambia 1 1000 t 2023 down 75.0% volatile
51 Guinea-Bissau 1 1000 t 2023 unchanged flat
51 Guatemala 1 1000 t 2023 down 50.0% falling
51 Honduras 1 1000 t 2023 down 50.0% falling
51 Haiti 1 1000 t 2023 down 80.0% volatile
51 Iraq 1 1000 t 2023 unchanged volatile
51 Morocco 1 1000 t 2023 unchanged volatile
51 Moldova 1 1000 t 2023 — volatile
51 Poland 1 1000 t 2023 — volatile
51 Rwanda 1 1000 t 2023 down 85.7% volatile
51 Slovakia 1 1000 t 2023 — volatile
51 Syria 1 1000 t 2023 — volatile
51 Turkey 1 1000 t 2023 — volatile
51 Ukraine 1 1000 t 2023 down 90.0% volatile
51 Uzbekistan 1 1000 t 2023 — volatile
51 Zambia 1 1000 t 2023 down 50.0% falling
51 Caribbean 1 1000 t 2023 down 83.3% volatile
51 Republic of Moldova 1 1000 t 2023 — volatile
51 Syrian Arab Republic 1 1000 t 2023 — volatile
51 Venezuela (Bolivarian Republic of) 1 1000 t 2023 down 96.3% volatile
51 Türkiye 1 1000 t 2023 — volatile
75 Bulgaria 0 1000 t 2023 down 100.0% volatile
75 Colombia 0 1000 t 2023 down 100.0% volatile
75 Cuba 0 1000 t 2019 — volatile
75 Spain 0 1000 t 2023 down 100.0% volatile
75 Jordan 0 1000 t 2023 down 100.0% volatile
75 Kazakhstan 0 1000 t 2023 — volatile
75 Lesotho 0 1000 t 2023 — volatile
75 Tunisia 0 1000 t 2023 — 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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Sorghum and products — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/sorghum-and-products-losses/

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About this data

Indicator
Sorghum and products — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
151 places, 1,980 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.