Oilcrops — Other uses (non-food) 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 uses (non-food) is currently reported for 131 countries. The highest value is 7,446 1000 t in China; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 1 1000 t, and the mean is 236.69 1000 t.
Over the past decade 31 countries rose and 26 fell. The largest increase was in Ecuador (up 13,900.0%), and the largest decrease in Italy (down 100.0%).
Oilcrops — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 7,446 1000 t | 2023 | up 194.1% | volatile |
| 1 | China, mainland | 7,446 1000 t | 2023 | up 194.1% | volatile |
| 3 | Philippines | 4,457 1000 t | 2023 | down 21.3% | rising |
| 4 | Thailand | 2,623 1000 t | 2023 | down 62.4% | falling |
| 5 | Indonesia | 2,316 1000 t | 2023 | down 15.3% | falling |
| 6 | Brazil | 1,823 1000 t | 2023 | up 520.1% | volatile |
| 7 | Pakistan | 934 1000 t | 2023 | up 262.0% | volatile |
| 8 | Ukraine | 861 1000 t | 2023 | down 58.2% | volatile |
| 9 | Colombia | 860 1000 t | 2023 | up 24.5% | rising |
| 10 | Egypt | 387 1000 t | 2023 | up 567.2% | volatile |
| 11 | Greece | 357 1000 t | 2023 | up 178.9% | volatile |
| 12 | Argentina | 310 1000 t | 2023 | up 39.0% | rising |
| 13 | Ecuador | 280 1000 t | 2023 | up 13,900.0% | volatile |
| 14 | Costa Rica | 134 1000 t | 2023 | up 396.3% | volatile |
| 15 | Mexico | 105 1000 t | 2023 | down 85.8% | volatile |
| 16 | Kiribati | 95 1000 t | 2023 | up 13.1% | flat |
| 17 | Sri Lanka | 67 1000 t | 2023 | down 16.2% | volatile |
| 17 | Netherlands (Kingdom of the) | 67 1000 t | 2023 | up 131.0% | rising |
| 19 | Uruguay | 59 1000 t | 2023 | up 1,375.0% | volatile |
| 20 | Cameroon | 57 1000 t | 2023 | up 103.6% | volatile |
| 21 | Canada | 39 1000 t | 2023 | down 15.2% | volatile |
| 22 | France | 30 1000 t | 2023 | down 16.7% | volatile |
| 23 | India | 23 1000 t | 2022 | up 43.8% | rising |
| 24 | Guinea | 21 1000 t | 2023 | up 10.5% | flat |
| 25 | Belgium | 18 1000 t | 2023 | down 81.6% | volatile |
| 26 | Malaysia | 17 1000 t | 2023 | up 30.8% | volatile |
| 27 | Kyrgyzstan | 15 1000 t | 2023 | up 114.3% | rising |
| 28 | Serbia | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 28 | United Kingdom of Great Britain and Northern Ireland | 12 1000 t | 2023 | down 67.6% | volatile |
| 30 | Czechia | 11 1000 t | 2023 | up 266.7% | volatile |
| 30 | Poland | 11 1000 t | 2023 | down 91.2% | volatile |
| 32 | Germany | 9 1000 t | 2023 | up 200.0% | volatile |
| 32 | Russian Federation | 9 1000 t | 2023 | up 28.6% | rising |
| 34 | Paraguay | 8 1000 t | 2023 | up 14.3% | rising |
| 35 | Ghana | 7 1000 t | 2023 | up 250.0% | rising |
| 35 | Myanmar | 7 1000 t | 2023 | down 94.1% | volatile |
| 37 | Australia | 4 1000 t | 2023 | up 300.0% | volatile |
| 37 | Austria | 4 1000 t | 2023 | up 33.3% | rising |
| 37 | Chile | 4 1000 t | 2023 | up 100.0% | rising |
| 37 | Haiti | 4 1000 t | 2023 | up 33.3% | rising |
| 37 | Oman | 4 1000 t | 2023 | — | volatile |
| 37 | Qatar | 4 1000 t | 2023 | — | rising |
| 37 | Australia and New Zealand | 4 1000 t | 2023 | up 300.0% | volatile |
| 44 | Guinea-Bissau | 3 1000 t | 2023 | unchanged | flat |
| 44 | Guatemala | 3 1000 t | 2023 | — | volatile |
| 44 | Guyana | 3 1000 t | 2023 | — | volatile |
| 44 | Hungary | 3 1000 t | 2023 | down 62.5% | volatile |
| 44 | Peru | 3 1000 t | 2023 | up 50.0% | rising |
| 44 | Saudi Arabia | 3 1000 t | 2023 | — | volatile |
| 44 | Slovenia | 3 1000 t | 2023 | up 200.0% | volatile |
| 51 | Algeria | 2 1000 t | 2023 | down 33.3% | flat |
| 51 | Ireland | 2 1000 t | 2023 | unchanged | volatile |
| 51 | Jordan | 2 1000 t | 2023 | — | volatile |
| 51 | Panama | 2 1000 t | 2023 | down 86.7% | volatile |
| 51 | Tunisia | 2 1000 t | 2023 | down 33.3% | falling |
| 56 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 56 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 56 | Finland | 1 1000 t | 2023 | — | volatile |
| 56 | Fiji | 1 1000 t | 2023 | — | volatile |
| 56 | Croatia | 1 1000 t | 2023 | down 50.0% | falling |
| 56 | Israel | 1 1000 t | 2023 | down 80.0% | volatile |
| 56 | Cambodia | 1 1000 t | 2023 | unchanged | flat |
| 56 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 56 | Latvia | 1 1000 t | 2023 | — | rising |
| 56 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 56 | Norway | 1 1000 t | 2023 | unchanged | volatile |
| 56 | Romania | 1 1000 t | 2023 | down 50.0% | falling |
| 56 | Sweden | 1 1000 t | 2023 | unchanged | volatile |
| 56 | South Africa | 1 1000 t | 2023 | unchanged | falling |
| 56 | Zimbabwe | 1 1000 t | 2023 | down 66.7% | volatile |
| 71 | Angola | 0 1000 t | 2023 | — | flat |
| 71 | Albania | 0 1000 t | 2023 | — | flat |
| 71 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 71 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 71 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 71 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 71 | Belize | 0 1000 t | 2023 | — | flat |
| 71 | Barbados | 0 1000 t | 2018 | — | flat |
| 71 | Botswana | 0 1000 t | 2023 | — | flat |
| 71 | Switzerland | 0 1000 t | 2023 | — | flat |
| 71 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 71 | Denmark | 0 1000 t | 2023 | — | flat |
| 71 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 71 | Spain | 0 1000 t | 2021 | — | volatile |
| 71 | Gabon | 0 1000 t | 2021 | — | flat |
| 71 | Georgia | 0 1000 t | 2023 | — | flat |
| 71 | Gambia | 0 1000 t | 2023 | — | flat |
| 71 | Honduras | 0 1000 t | 2023 | — | flat |
| 71 | Iceland | 0 1000 t | 2023 | — | flat |
| 71 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 71 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Kenya | 0 1000 t | 2023 | — | flat |
| 71 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 71 | Lebanon | 0 1000 t | 2023 | — | flat |
| 71 | Libya | 0 1000 t | 2023 | — | flat |
| 71 | Lithuania | 0 1000 t | 2023 | — | flat |
| 71 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 71 | Morocco | 0 1000 t | 2023 | — | volatile |
| 71 | Madagascar | 0 1000 t | 2018 | — | flat |
| 71 | Maldives | 0 1000 t | 2023 | — | flat |
| 71 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 71 | Malta | 0 1000 t | 2023 | — | flat |
| 71 | Montenegro | 0 1000 t | 2023 | — | flat |
| 71 | Mauritius | 0 1000 t | 2023 | — | flat |
| 71 | Malawi | 0 1000 t | 2023 | — | flat |
| 71 | Namibia | 0 1000 t | 2023 | — | flat |
| 71 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Nigeria | 0 1000 t | 2022 | down 100.0% | volatile |
| 71 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Nepal | 0 1000 t | 2023 | — | volatile |
| 71 | Papua New Guinea | 0 1000 t | 2021 | — | flat |
| 71 | Portugal | 0 1000 t | 2023 | — | volatile |
| 71 | French Polynesia | 0 1000 t | 2022 | — | flat |
| 71 | Rwanda | 0 1000 t | 2023 | — | flat |
| 71 | Senegal | 0 1000 t | 2018 | — | flat |
| 71 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 71 | El Salvador | 0 1000 t | 2023 | — | flat |
| 71 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Eswatini | 0 1000 t | 2023 | — | flat |
| 71 | Seychelles | 0 1000 t | 2021 | — | flat |
| 71 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 71 | Uganda | 0 1000 t | 2023 | — | flat |
| 71 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 71 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 71 | Samoa | 0 1000 t | 2023 | — | volatile |
| 71 | Yemen | 0 1000 t | 2023 | — | flat |
| 71 | Zambia | 0 1000 t | 2023 | — | flat |
| 71 | China, Hong Kong SAR | 0 1000 t | 2018 | — | flat |
| 71 | Republic of Korea | 0 1000 t | 2022 | — | flat |
| 71 | China, Taiwan Province of | 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 24,211 1000 t
- Asia 18,014 1000 t
- South-Eastern Asia 9,465 1000 t
- Americas 3,719 1000 t
- Eastern Asia 7,447 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,998 1000 t
- South America 3,350 1000 t
- Low Income Food Deficit Countries (LIFDCs) 603 1000 t
- European Union (27) 521 1000 t
- Southern Asia 1,040 1000 t
- Land Locked Developing Countries (LLDCs) 223 1000 t
- Africa 952 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.