Maize Germ Oil — Export quantity 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
Maize Germ Oil — Export quantity is currently reported for 115 countries. The highest value is 87 1000 t in Brazil; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 3.93 1000 t.
Over the past decade 7 countries rose and 21 fell. The largest increase was in Russian Federation (up 600.0%), and the largest decrease in Australia (down 100.0%).
Maize Germ Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 87 1000 t | 2023 | up 234.6% | volatile |
| 2 | Türkiye | 77 1000 t | 2023 | up 156.7% | rising |
| 3 | Canada | 60 1000 t | 2023 | up 150.0% | volatile |
| 4 | Belgium | 27 1000 t | 2023 | down 22.9% | falling |
| 5 | Hungary | 24 1000 t | 2023 | down 29.4% | rising |
| 6 | Saudi Arabia | 20 1000 t | 2023 | down 42.9% | falling |
| 7 | Tunisia | 18 1000 t | 2023 | down 48.6% | volatile |
| 8 | Italy | 17 1000 t | 2023 | down 10.5% | falling |
| 9 | France | 16 1000 t | 2023 | unchanged | falling |
| 10 | Spain | 12 1000 t | 2023 | down 40.0% | volatile |
| 11 | Egypt | 11 1000 t | 2023 | up 175.0% | rising |
| 12 | Argentina | 10 1000 t | 2023 | down 28.6% | falling |
| 13 | China | 9 1000 t | 2023 | up 28.6% | volatile |
| 14 | Republic of Korea | 8 1000 t | 2023 | unchanged | volatile |
| 14 | China, mainland | 8 1000 t | 2023 | up 60.0% | volatile |
| 16 | Poland | 7 1000 t | 2023 | — | volatile |
| 16 | Russian Federation | 7 1000 t | 2023 | up 600.0% | volatile |
| 18 | United Arab Emirates | 6 1000 t | 2023 | down 70.0% | falling |
| 19 | Austria | 4 1000 t | 2023 | down 42.9% | rising |
| 19 | Malaysia | 4 1000 t | 2023 | unchanged | volatile |
| 21 | Mexico | 3 1000 t | 2023 | down 40.0% | volatile |
| 22 | Czechia | 2 1000 t | 2023 | — | volatile |
| 22 | Dominican Republic | 2 1000 t | 2023 | — | volatile |
| 22 | Oman | 2 1000 t | 2023 | down 80.0% | volatile |
| 22 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 22 | Uruguay | 2 1000 t | 2023 | — | volatile |
| 22 | Caribbean | 2 1000 t | 2023 | — | volatile |
| 28 | Colombia | 1 1000 t | 2023 | — | volatile |
| 28 | Greece | 1 1000 t | 2023 | — | volatile |
| 28 | Sweden | 1 1000 t | 2023 | unchanged | falling |
| 28 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | flat |
| 28 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | unchanged | volatile |
| 33 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 33 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 33 | Bahrain | 0 1000 t | 2023 | — | flat |
| 33 | Bahamas | 0 1000 t | 2022 | — | flat |
| 33 | Belarus | 0 1000 t | 2021 | — | flat |
| 33 | Barbados | 0 1000 t | 2017 | — | flat |
| 33 | Botswana | 0 1000 t | 2023 | — | flat |
| 33 | Switzerland | 0 1000 t | 2023 | — | flat |
| 33 | Chile | 0 1000 t | 2023 | — | flat |
| 33 | Cameroon | 0 1000 t | 2022 | — | flat |
| 33 | Costa Rica | 0 1000 t | 2022 | — | flat |
| 33 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 33 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Denmark | 0 1000 t | 2023 | — | flat |
| 33 | Algeria | 0 1000 t | 2023 | — | flat |
| 33 | Ecuador | 0 1000 t | 2023 | — | flat |
| 33 | Estonia | 0 1000 t | 2023 | — | flat |
| 33 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 33 | Finland | 0 1000 t | 2022 | — | flat |
| 33 | Fiji | 0 1000 t | 2015 | — | flat |
| 33 | Georgia | 0 1000 t | 2023 | — | flat |
| 33 | Ghana | 0 1000 t | 2022 | — | flat |
| 33 | Guinea | 0 1000 t | 2022 | — | flat |
| 33 | Guatemala | 0 1000 t | 2023 | — | flat |
| 33 | Guyana | 0 1000 t | 2017 | — | flat |
| 33 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Croatia | 0 1000 t | 2023 | — | flat |
| 33 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 33 | India | 0 1000 t | 2023 | — | flat |
| 33 | Ireland | 0 1000 t | 2021 | — | flat |
| 33 | Iceland | 0 1000 t | 2023 | — | flat |
| 33 | Israel | 0 1000 t | 2021 | — | flat |
| 33 | Jamaica | 0 1000 t | 2023 | — | flat |
| 33 | Jordan | 0 1000 t | 2019 | — | volatile |
| 33 | Kazakhstan | 0 1000 t | 2021 | — | flat |
| 33 | Kenya | 0 1000 t | 2023 | — | volatile |
| 33 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 33 | Lebanon | 0 1000 t | 2023 | — | flat |
| 33 | Libya | 0 1000 t | 2022 | — | flat |
| 33 | Saint Lucia | 0 1000 t | 2022 | — | flat |
| 33 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 33 | Lithuania | 0 1000 t | 2023 | — | flat |
| 33 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 33 | Latvia | 0 1000 t | 2023 | — | flat |
| 33 | Morocco | 0 1000 t | 2023 | — | volatile |
| 33 | North Macedonia | 0 1000 t | 2022 | — | flat |
| 33 | Malta | 0 1000 t | 2022 | — | flat |
| 33 | Namibia | 0 1000 t | 2019 | — | flat |
| 33 | Nigeria | 0 1000 t | 2023 | — | flat |
| 33 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 33 | Norway | 0 1000 t | 2023 | — | flat |
| 33 | Nepal | 0 1000 t | 2019 | — | flat |
| 33 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 33 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 33 | Peru | 0 1000 t | 2023 | — | flat |
| 33 | Philippines | 0 1000 t | 2015 | — | flat |
| 33 | Portugal | 0 1000 t | 2023 | — | flat |
| 33 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 33 | Romania | 0 1000 t | 2023 | — | volatile |
| 33 | Senegal | 0 1000 t | 2021 | — | flat |
| 33 | El Salvador | 0 1000 t | 2023 | — | flat |
| 33 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Suriname | 0 1000 t | 2016 | — | flat |
| 33 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Eswatini | 0 1000 t | 2022 | — | flat |
| 33 | Thailand | 0 1000 t | 2023 | — | volatile |
| 33 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 33 | Uganda | 0 1000 t | 2022 | — | flat |
| 33 | Ukraine | 0 1000 t | 2023 | down 100.0% | falling |
| 33 | Uzbekistan | 0 1000 t | 2020 | — | flat |
| 33 | Yemen | 0 1000 t | 2023 | — | volatile |
| 33 | Zambia | 0 1000 t | 2020 | — | flat |
| 33 | Melanesia | 0 1000 t | 2015 | — | flat |
| 33 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 33 | Syrian Arab Republic | 0 1000 t | 2021 | down 100.0% | volatile |
| 33 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2014 | — | volatile |
| 33 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 33 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 33 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | United Kingdom of Great Britain and Northern Ireland | 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.
- World 564 1000 t
- Americas 277 1000 t
- Northern America 171 1000 t
- Asia 128 1000 t
- Europe 123 1000 t
- European Union (27) 115 1000 t
- United States of America 111 1000 t
- Western Asia 105 1000 t
- South America 100 1000 t
- Western Europe 48 1000 t
- Eastern Europe 43 1000 t
- Africa 37 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.