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...
What the numbers show
Soyabeans — Losses is currently reported for 110 countries. The highest value is 6,086 1000 t in Brazil; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 2 1000 t, and the mean is 105.39 1000 t.
Over the past decade 32 countries rose and 18 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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 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 | Paraguay | 565 1000 t | 2023 | down 17.4% | falling |
| 6 | Argentina | 354 1000 t | 2023 | down 28.2% | falling |
| 7 | Mexico | 170 1000 t | 2023 | up 46.6% | rising |
| 8 | Thailand | 160 1000 t | 2023 | up 92.8% | rising |
| 9 | Türkiye | 122 1000 t | 2023 | up 144.0% | rising |
| 10 | Egypt | 101 1000 t | 2023 | up 165.8% | volatile |
| 11 | Russian Federation | 80 1000 t | 2023 | up 185.7% | rising |
| 12 | Nigeria | 79 1000 t | 2023 | up 102.6% | rising |
| 13 | Indonesia | 67 1000 t | 2023 | down 48.9% | falling |
| 14 | Bolivia (Plurinational State of) | 50 1000 t | 2023 | up 2.0% | rising |
| 15 | Ghana | 46 1000 t | 2023 | up 70.4% | rising |
| 16 | Canada | 43 1000 t | 2023 | up 30.3% | rising |
| 17 | Viet Nam | 38 1000 t | 2023 | up 26.7% | rising |
| 18 | Zambia | 34 1000 t | 2023 | up 325.0% | volatile |
| 19 | Italy | 33 1000 t | 2023 | up 26.9% | rising |
| 20 | Spain | 20 1000 t | 2023 | down 66.7% | volatile |
| 20 | Serbia | 20 1000 t | 2023 | up 150.0% | rising |
| 20 | Uruguay | 20 1000 t | 2023 | down 75.9% | falling |
| 20 | Iran (Islamic Republic of) | 20 1000 t | 2023 | up 81.8% | rising |
| 24 | Malawi | 17 1000 t | 2023 | up 142.9% | rising |
| 25 | Ethiopia | 16 1000 t | 2023 | up 220.0% | volatile |
| 26 | Bangladesh | 12 1000 t | 2023 | up 200.0% | rising |
| 26 | Germany | 12 1000 t | 2023 | unchanged | rising |
| 28 | Cameroon | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 29 | Democratic People's Republic of Korea | 10 1000 t | 2018 | down 61.5% | falling |
| 30 | France | 9 1000 t | 2023 | unchanged | flat |
| 30 | Portugal | 9 1000 t | 2023 | down 62.5% | falling |
| 32 | Myanmar | 8 1000 t | 2023 | unchanged | falling |
| 32 | Poland | 8 1000 t | 2023 | — | volatile |
| 34 | Austria | 7 1000 t | 2023 | up 250.0% | rising |
| 34 | Colombia | 7 1000 t | 2023 | up 16.7% | rising |
| 34 | Israel | 7 1000 t | 2023 | down 30.0% | falling |
| 37 | Nepal | 6 1000 t | 2023 | up 50.0% | rising |
| 37 | Republic of Korea | 6 1000 t | 2023 | unchanged | falling |
| 37 | Republic of Moldova | 6 1000 t | 2023 | up 20.0% | falling |
| 40 | Belgium | 5 1000 t | 2023 | down 44.4% | rising |
| 40 | Iraq | 5 1000 t | 2023 | — | volatile |
| 40 | Slovakia | 5 1000 t | 2023 | up 66.7% | rising |
| 40 | Zimbabwe | 5 1000 t | 2023 | unchanged | flat |
| 44 | Greece | 4 1000 t | 2023 | up 300.0% | volatile |
| 44 | Uganda | 4 1000 t | 2023 | up 300.0% | volatile |
| 44 | Ukraine | 4 1000 t | 2023 | down 85.7% | volatile |
| 44 | China, Taiwan Province of | 4 1000 t | 2023 | unchanged | rising |
| 48 | Australia | 3 1000 t | 2023 | down 57.1% | volatile |
| 48 | Kazakhstan | 3 1000 t | 2023 | up 50.0% | rising |
| 48 | Democratic Republic of the Congo | 3 1000 t | 2023 | up 50.0% | rising |
| 48 | Venezuela (Bolivarian Republic of) | 3 1000 t | 2023 | up 200.0% | volatile |
| 48 | Australia and New Zealand | 3 1000 t | 2023 | down 57.1% | volatile |
| 48 | United Republic of Tanzania | 3 1000 t | 2023 | — | volatile |
| 54 | Angola | 2 1000 t | 2023 | up 100.0% | volatile |
| 54 | Burkina Faso | 2 1000 t | 2023 | unchanged | flat |
| 54 | Belize | 2 1000 t | 2023 | — | volatile |
| 54 | Guatemala | 2 1000 t | 2023 | down 33.3% | falling |
| 54 | Cambodia | 2 1000 t | 2023 | down 83.3% | volatile |
| 54 | Rwanda | 2 1000 t | 2023 | unchanged | falling |
| 60 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | rising |
| 60 | Czechia | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Croatia | 1 1000 t | 2023 | down 80.0% | volatile |
| 60 | Hungary | 1 1000 t | 2023 | — | volatile |
| 60 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 60 | Sri Lanka | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Nicaragua | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Peru | 1 1000 t | 2023 | — | volatile |
| 60 | Romania | 1 1000 t | 2023 | down 91.7% | volatile |
| 60 | Slovenia | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 60 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 60 | Lao People's Democratic Republic | 1 1000 t | 2023 | unchanged | falling |
| 73 | Albania | 0 1000 t | 2023 | — | flat |
| 73 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 73 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 73 | Bahrain | 0 1000 t | 2023 | — | flat |
| 73 | Bhutan | 0 1000 t | 2023 | — | flat |
| 73 | Switzerland | 0 1000 t | 2023 | — | flat |
| 73 | Chile | 0 1000 t | 2019 | — | flat |
| 73 | Costa Rica | 0 1000 t | 2019 | — | flat |
| 73 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Gabon | 0 1000 t | 2023 | — | flat |
| 73 | Georgia | 0 1000 t | 2023 | — | flat |
| 73 | Guyana | 0 1000 t | 2023 | — | flat |
| 73 | Honduras | 0 1000 t | 2023 | — | flat |
| 73 | Jordan | 0 1000 t | 2023 | — | flat |
| 73 | Kenya | 0 1000 t | 2023 | — | volatile |
| 73 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 73 | Liberia | 0 1000 t | 2023 | — | flat |
| 73 | Lithuania | 0 1000 t | 2023 | — | flat |
| 73 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 73 | Latvia | 0 1000 t | 2023 | — | flat |
| 73 | Morocco | 0 1000 t | 2023 | — | flat |
| 73 | Madagascar | 0 1000 t | 2023 | — | flat |
| 73 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 73 | Malaysia | 0 1000 t | 2019 | — | flat |
| 73 | New Zealand | 0 1000 t | 2019 | — | flat |
| 73 | Pakistan | 0 1000 t | 2023 | — | flat |
| 73 | Panama | 0 1000 t | 2023 | — | flat |
| 73 | Philippines | 0 1000 t | 2023 | — | flat |
| 73 | Senegal | 0 1000 t | 2019 | — | flat |
| 73 | El Salvador | 0 1000 t | 2023 | — | flat |
| 73 | Suriname | 0 1000 t | 2023 | — | flat |
| 73 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 73 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 73 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 73 | Caribbean | 0 1000 t | 2023 | — | flat |
| 73 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 73 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 73 | Netherlands (Kingdom of the) | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 11,351 1000 t
- Americas 7,873 1000 t
- South America 7,087 1000 t
- Asia 2,711 1000 t
- Southern Asia 1,152 1000 t
- Eastern Asia 1,145 1000 t
- Land Locked Developing Countries (LLDCs) 717 1000 t
- Northern America 610 1000 t
- United States of America 567 1000 t
- Africa 536 1000 t
- Net Food Importing Developing Countries (NFIDCs) 293 1000 t
- South-eastern Asia 276 1000 t
About this data
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.