Oilcrops, Other — Processing 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
Oilcrops, Other — Processing is currently reported for 96 countries. The highest value is 2,579 1000 t in China; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 7 1000 t, and the mean is 120.9 1000 t.
Over the past decade 42 countries rose and 26 fell. The largest increase was in Afghanistan (up 2,750.0%), and the largest decrease in Lebanon (down 100.0%).
Oilcrops, Other — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,579 1000 t | 2023 | up 21.8% | rising |
| 2 | China, mainland | 2,572 1000 t | 2023 | up 21.8% | rising |
| 3 | India | 2,068 1000 t | 2023 | up 24.9% | rising |
| 4 | Peru | 1,004 1000 t | 2021 | — | volatile |
| 5 | Nigeria | 432 1000 t | 2023 | down 0.7% | flat |
| 6 | Belgium | 317 1000 t | 2023 | up 1.3% | falling |
| 7 | Ethiopia | 277 1000 t | 2023 | up 14.5% | rising |
| 8 | Pakistan | 234 1000 t | 2023 | up 34.5% | rising |
| 9 | Indonesia | 191 1000 t | 2023 | down 5.4% | falling |
| 10 | Germany | 116 1000 t | 2023 | down 21.6% | flat |
| 11 | Russian Federation | 113 1000 t | 2023 | up 606.2% | volatile |
| 12 | Poland | 98 1000 t | 2023 | up 113.0% | rising |
| 13 | Italy | 96 1000 t | 2023 | down 73.2% | volatile |
| 14 | Brazil | 91 1000 t | 2023 | up 56.9% | volatile |
| 15 | Mozambique | 89 1000 t | 2023 | up 3.5% | flat |
| 16 | Ghana | 82 1000 t | 2023 | up 182.8% | volatile |
| 17 | Kazakhstan | 79 1000 t | 2023 | up 88.1% | volatile |
| 18 | Thailand | 78 1000 t | 2023 | up 4.0% | falling |
| 19 | Spain | 76 1000 t | 2023 | down 22.4% | falling |
| 20 | Malaysia | 74 1000 t | 2023 | down 48.6% | falling |
| 21 | France | 63 1000 t | 2023 | up 215.0% | rising |
| 22 | Afghanistan | 57 1000 t | 2023 | up 2,750.0% | volatile |
| 23 | Nepal | 53 1000 t | 2023 | down 66.7% | falling |
| 23 | Republic of Korea | 53 1000 t | 2023 | up 3.9% | rising |
| 25 | Azerbaijan | 52 1000 t | 2023 | up 642.9% | volatile |
| 26 | Mexico | 51 1000 t | 2023 | down 12.1% | falling |
| 27 | Paraguay | 50 1000 t | 2023 | up 2.0% | flat |
| 28 | United Republic of Tanzania | 47 1000 t | 2023 | up 67.9% | rising |
| 29 | Uganda | 45 1000 t | 2023 | up 2.3% | rising |
| 30 | Kenya | 44 1000 t | 2023 | up 15.8% | rising |
| 31 | Côte d'Ivoire | 42 1000 t | 2023 | up 44.8% | rising |
| 32 | Uzbekistan | 38 1000 t | 2023 | up 65.2% | volatile |
| 33 | Canada | 37 1000 t | 2023 | up 23.3% | rising |
| 34 | Türkiye | 35 1000 t | 2023 | down 43.5% | volatile |
| 35 | United Kingdom of Great Britain and Northern Ireland | 34 1000 t | 2023 | up 112.5% | rising |
| 36 | Costa Rica | 18 1000 t | 2023 | up 260.0% | volatile |
| 37 | Czechia | 15 1000 t | 2023 | up 650.0% | volatile |
| 38 | Austria | 13 1000 t | 2023 | up 8.3% | rising |
| 38 | Egypt | 13 1000 t | 2023 | up 85.7% | rising |
| 40 | Australia and New Zealand | 12 1000 t | 2023 | up 20.0% | rising |
| 41 | Argentina | 11 1000 t | 2023 | down 85.1% | volatile |
| 41 | Philippines | 11 1000 t | 2023 | up 10.0% | rising |
| 41 | Sweden | 11 1000 t | 2023 | down 45.0% | falling |
| 41 | Ukraine | 11 1000 t | 2023 | down 52.2% | volatile |
| 45 | Australia | 10 1000 t | 2023 | up 11.1% | rising |
| 45 | Burkina Faso | 10 1000 t | 2022 | down 69.7% | falling |
| 47 | Bangladesh | 8 1000 t | 2023 | up 33.3% | rising |
| 48 | Denmark | 7 1000 t | 2023 | down 22.2% | falling |
| 48 | Hungary | 7 1000 t | 2023 | up 600.0% | volatile |
| 50 | Israel | 6 1000 t | 2023 | unchanged | rising |
| 50 | Zimbabwe | 6 1000 t | 2023 | unchanged | falling |
| 50 | China, Taiwan Province of | 6 1000 t | 2023 | unchanged | rising |
| 53 | Bulgaria | 5 1000 t | 2023 | down 37.5% | volatile |
| 53 | Switzerland | 5 1000 t | 2023 | up 66.7% | rising |
| 53 | Uruguay | 5 1000 t | 2023 | unchanged | falling |
| 53 | Netherlands (Kingdom of the) | 5 1000 t | 2023 | up 150.0% | volatile |
| 57 | Morocco | 4 1000 t | 2023 | down 20.0% | rising |
| 57 | Malawi | 4 1000 t | 2023 | unchanged | rising |
| 57 | Romania | 4 1000 t | 2023 | down 69.2% | volatile |
| 60 | Croatia | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Madagascar | 3 1000 t | 2023 | unchanged | flat |
| 60 | Tunisia | 3 1000 t | 2023 | up 50.0% | rising |
| 63 | Angola | 2 1000 t | 2023 | unchanged | flat |
| 63 | Chile | 2 1000 t | 2023 | unchanged | rising |
| 63 | Ecuador | 2 1000 t | 2023 | unchanged | flat |
| 63 | Finland | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Haiti | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | New Zealand | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Portugal | 2 1000 t | 2023 | down 90.5% | volatile |
| 63 | Caribbean | 2 1000 t | 2023 | up 100.0% | rising |
| 71 | Belarus | 1 1000 t | 2023 | unchanged | volatile |
| 71 | Greece | 1 1000 t | 2023 | down 92.9% | volatile |
| 71 | Iraq | 1 1000 t | 2023 | — | volatile |
| 71 | Cambodia | 1 1000 t | 2023 | unchanged | falling |
| 71 | Panama | 1 1000 t | 2019 | down 66.7% | falling |
| 71 | Slovakia | 1 1000 t | 2023 | unchanged | flat |
| 71 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | flat |
| 78 | Barbados | 0 1000 t | 2023 | — | flat |
| 78 | Colombia | 0 1000 t | 2022 | — | volatile |
| 78 | Cyprus | 0 1000 t | 2023 | — | flat |
| 78 | Algeria | 0 1000 t | 2019 | — | flat |
| 78 | Georgia | 0 1000 t | 2023 | — | volatile |
| 78 | Jamaica | 0 1000 t | 2023 | — | flat |
| 78 | Lebanon | 0 1000 t | 2020 | down 100.0% | volatile |
| 78 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Lithuania | 0 1000 t | 2016 | down 100.0% | volatile |
| 78 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Latvia | 0 1000 t | 2023 | — | flat |
| 78 | Malta | 0 1000 t | 2023 | — | flat |
| 78 | Mauritius | 0 1000 t | 2023 | — | flat |
| 78 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 78 | Eswatini | 0 1000 t | 2023 | — | flat |
| 78 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 78 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 78 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 8,536 1000 t
- Asia 5,620 1000 t
- Eastern Asia 2,634 1000 t
- Southern Asia 2,420 1000 t
- Africa 1,365 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,188 1000 t
- Europe 1,005 1000 t
- Low Income Food Deficit Countries (LIFDCs) 925 1000 t
- Land Locked Developing Countries (LLDCs) 907 1000 t
- Least Developed Countries (LDCs) 847 1000 t
- European Union (27) 840 1000 t
- Western Africa 757 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.