Soyabeans — 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
6,086 1000 t
Brazil
Lowest
0 1000 t
Kenya
Median
6.5 1000 t
Years covered
14
2010–2023
Data points
2,003

What the numbers show

Soyabeans — Losses is currently reported for 82 countries. The highest value is 6,086 1000 t in Brazil; the lowest is 0 1000 t in Kenya.

The median across all reporting countries is 6.5 1000 t, and the mean is 152.96 1000 t.

Over the past decade 37 countries rose and 19 fell. The largest increase was in Cameroon (up 1,000.0%), and the largest decrease in Ecuador (down 100.0%).

Soyabeans — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 6,086 1000 t 2023 — volatile
2 India 1,113 1000 t 2023 up 24.6% rising
3 China 1,074 1000 t 2023 up 62.7% rising
4 China, mainland 1,068 1000 t 2023 up 63.1% rising
5 United States 567 1000 t 2023 down 4.1% rising
6 Paraguay 565 1000 t 2023 down 17.4% falling
7 Argentina 354 1000 t 2023 down 28.2% falling
8 Mexico 170 1000 t 2023 up 46.6% rising
9 Thailand 160 1000 t 2023 up 92.8% rising
10 South Africa 136 1000 t 2023 up 130.5% rising
11 Turkey 122 1000 t 2023 up 144.0% rising
11 Türkiye 122 1000 t 2023 up 144.0% rising
13 Egypt 101 1000 t 2023 up 165.8% volatile
14 Russia 80 1000 t 2023 up 185.7% rising
14 Russian Federation 80 1000 t 2023 up 185.7% rising
16 Nigeria 79 1000 t 2023 up 102.6% rising
17 Indonesia 67 1000 t 2023 down 48.9% falling
18 Bolivia (Plurinational State of) 50 1000 t 2023 up 2.0% rising
19 Ghana 46 1000 t 2023 up 70.4% rising
20 Canada 43 1000 t 2023 up 30.3% rising
21 Vietnam 38 1000 t 2023 up 26.7% rising
21 Viet Nam 38 1000 t 2023 up 26.7% rising
23 Zambia 34 1000 t 2023 up 325.0% volatile
24 Italy 33 1000 t 2023 up 26.9% rising
25 Spain 20 1000 t 2023 down 66.7% volatile
25 Serbia 20 1000 t 2023 up 150.0% rising
25 Uruguay 20 1000 t 2023 down 75.9% falling
25 Iran (Islamic Republic of) 20 1000 t 2023 up 81.8% rising
29 Malawi 17 1000 t 2023 up 142.9% rising
30 Ethiopia 16 1000 t 2023 up 220.0% volatile
31 Bangladesh 12 1000 t 2023 up 200.0% rising
31 Germany 12 1000 t 2023 unchanged rising
33 Cameroon 11 1000 t 2023 up 1,000.0% volatile
34 Democratic People's Republic of Korea 10 1000 t 2018 down 61.5% falling
35 France 9 1000 t 2023 unchanged flat
35 Portugal 9 1000 t 2023 down 62.5% falling
37 Myanmar 8 1000 t 2023 unchanged falling
37 Poland 8 1000 t 2023 — volatile
39 Austria 7 1000 t 2023 up 250.0% rising
39 Colombia 7 1000 t 2023 up 16.7% rising
39 Israel 7 1000 t 2023 down 30.0% falling
42 Moldova 6 1000 t 2023 up 20.0% falling
42 Nepal 6 1000 t 2023 up 50.0% rising
42 Republic of Korea 6 1000 t 2023 unchanged falling
42 Republic of Moldova 6 1000 t 2023 up 20.0% falling
46 Belgium 5 1000 t 2023 down 44.4% rising
46 Iraq 5 1000 t 2023 — volatile
46 Slovakia 5 1000 t 2023 up 66.7% rising
46 Zimbabwe 5 1000 t 2023 unchanged flat
50 Greece 4 1000 t 2023 up 300.0% volatile
50 Uganda 4 1000 t 2023 up 300.0% volatile
50 Ukraine 4 1000 t 2023 down 85.7% volatile
50 China, Taiwan Province of 4 1000 t 2023 unchanged rising
54 Australia 3 1000 t 2023 down 57.1% volatile
54 Kazakhstan 3 1000 t 2023 up 50.0% rising
54 Democratic Republic of the Congo 3 1000 t 2023 up 50.0% rising
54 Venezuela (Bolivarian Republic of) 3 1000 t 2023 up 200.0% volatile
54 Australia and New Zealand 3 1000 t 2023 down 57.1% volatile
54 United Republic of Tanzania 3 1000 t 2023 — volatile
60 Angola 2 1000 t 2023 up 100.0% volatile
60 Burkina Faso 2 1000 t 2023 unchanged flat
60 Belize 2 1000 t 2023 — volatile
60 Guatemala 2 1000 t 2023 down 33.3% falling
60 Cambodia 2 1000 t 2023 down 83.3% volatile
60 Rwanda 2 1000 t 2023 unchanged falling
66 Bosnia and Herzegovina 1 1000 t 2023 unchanged rising
66 Czechia 1 1000 t 2023 unchanged volatile
66 Croatia 1 1000 t 2023 down 80.0% volatile
66 Hungary 1 1000 t 2023 — volatile
66 Laos 1 1000 t 2023 unchanged falling
66 Lebanon 1 1000 t 2023 — volatile
66 Sri Lanka 1 1000 t 2023 unchanged volatile
66 Nicaragua 1 1000 t 2023 unchanged volatile
66 Peru 1 1000 t 2023 — volatile
66 Romania 1 1000 t 2023 down 91.7% volatile
66 Slovenia 1 1000 t 2023 unchanged volatile
66 Uzbekistan 1 1000 t 2023 — volatile
66 China, Hong Kong SAR 1 1000 t 2023 down 50.0% falling
66 Lao People's Democratic Republic 1 1000 t 2023 unchanged falling
80 Bulgaria 0 1000 t 2023 — volatile
80 Ecuador 0 1000 t 2023 down 100.0% volatile
80 Kenya 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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Soyabeans — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/soyabeans-losses/

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About this data

Indicator
Soyabeans — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
150 places, 2,003 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.