Maize Germ Oil — Stock Variation 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 — Stock Variation is currently reported for 164 countries. The highest value is 9 1000 t in Austria; the lowest is -35 1000 t in Libya.
The median across all reporting countries is 0 1000 t, and the mean is -0.0671 1000 t.
Over the past decade 19 countries rose and 31 fell. The largest increase was in Croatia (up 300.0%), and the largest decrease in Libya (down 333.3%).
Maize Germ Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Austria | 9 1000 t | 2023 | — | volatile |
| 2 | Paraguay | 6 1000 t | 2023 | — | volatile |
| 3 | Croatia | 4 1000 t | 2023 | up 300.0% | rising |
| 4 | Azerbaijan | 3 1000 t | 2023 | unchanged | volatile |
| 4 | Democratic People's Republic of Korea | 3 1000 t | 2018 | up 160.0% | volatile |
| 6 | Belgium | 2 1000 t | 2023 | — | volatile |
| 6 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 6 | Brazil | 2 1000 t | 2023 | down 81.8% | volatile |
| 6 | India | 2 1000 t | 2023 | up 100.0% | volatile |
| 10 | Italy | 1 1000 t | 2023 | — | volatile |
| 10 | Mozambique | 1 1000 t | 2023 | up 114.3% | volatile |
| 12 | Angola | 0 1000 t | 2023 | — | flat |
| 12 | Albania | 0 1000 t | 2023 | — | volatile |
| 12 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Armenia | 0 1000 t | 2023 | — | flat |
| 12 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 12 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | flat |
| 12 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 12 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 12 | Bahamas | 0 1000 t | 2023 | — | flat |
| 12 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 12 | Belarus | 0 1000 t | 2023 | — | flat |
| 12 | Belize | 0 1000 t | 2023 | — | flat |
| 12 | Barbados | 0 1000 t | 2023 | — | flat |
| 12 | Botswana | 0 1000 t | 2023 | — | flat |
| 12 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Switzerland | 0 1000 t | 2023 | — | flat |
| 12 | Chile | 0 1000 t | 2023 | — | flat |
| 12 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Cameroon | 0 1000 t | 2023 | — | flat |
| 12 | Congo | 0 1000 t | 2023 | — | flat |
| 12 | Colombia | 0 1000 t | 2023 | — | volatile |
| 12 | Comoros | 0 1000 t | 2023 | — | flat |
| 12 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 12 | Cuba | 0 1000 t | 2019 | — | flat |
| 12 | Cyprus | 0 1000 t | 2023 | — | flat |
| 12 | Czechia | 0 1000 t | 2023 | — | flat |
| 12 | Denmark | 0 1000 t | 2023 | — | flat |
| 12 | Algeria | 0 1000 t | 2023 | — | flat |
| 12 | Ecuador | 0 1000 t | 2023 | — | flat |
| 12 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Estonia | 0 1000 t | 2023 | — | volatile |
| 12 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 12 | Finland | 0 1000 t | 2023 | — | volatile |
| 12 | Fiji | 0 1000 t | 2023 | — | flat |
| 12 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Gabon | 0 1000 t | 2023 | — | flat |
| 12 | Georgia | 0 1000 t | 2023 | — | flat |
| 12 | Ghana | 0 1000 t | 2023 | — | flat |
| 12 | Guinea | 0 1000 t | 2023 | — | flat |
| 12 | Gambia | 0 1000 t | 2023 | — | flat |
| 12 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Grenada | 0 1000 t | 2023 | — | flat |
| 12 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 12 | Guyana | 0 1000 t | 2023 | — | flat |
| 12 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Haiti | 0 1000 t | 2023 | — | flat |
| 12 | Hungary | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 12 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Iceland | 0 1000 t | 2023 | — | flat |
| 12 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 12 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 12 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 12 | Cambodia | 0 1000 t | 2023 | — | flat |
| 12 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 12 | Kuwait | 0 1000 t | 2023 | up 100.0% | flat |
| 12 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 12 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 12 | Lithuania | 0 1000 t | 2023 | — | flat |
| 12 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 12 | Latvia | 0 1000 t | 2023 | — | flat |
| 12 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Madagascar | 0 1000 t | 2023 | — | flat |
| 12 | Maldives | 0 1000 t | 2023 | — | flat |
| 12 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 12 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 12 | Malta | 0 1000 t | 2023 | — | flat |
| 12 | Montenegro | 0 1000 t | 2023 | — | flat |
| 12 | Mongolia | 0 1000 t | 2023 | — | flat |
| 12 | Mauritania | 0 1000 t | 2023 | — | flat |
| 12 | Mauritius | 0 1000 t | 2023 | — | flat |
| 12 | Malawi | 0 1000 t | 2023 | — | flat |
| 12 | Namibia | 0 1000 t | 2023 | — | flat |
| 12 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 12 | Niger | 0 1000 t | 2023 | — | flat |
| 12 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 12 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 12 | Norway | 0 1000 t | 2023 | — | flat |
| 12 | Nepal | 0 1000 t | 2023 | — | flat |
| 12 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Pakistan | 0 1000 t | 2023 | — | flat |
| 12 | Panama | 0 1000 t | 2023 | — | flat |
| 12 | Peru | 0 1000 t | 2023 | — | flat |
| 12 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 12 | Poland | 0 1000 t | 2023 | — | flat |
| 12 | Portugal | 0 1000 t | 2023 | — | volatile |
| 12 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 12 | Qatar | 0 1000 t | 2023 | — | volatile |
| 12 | Romania | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Rwanda | 0 1000 t | 2023 | — | flat |
| 12 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 12 | Senegal | 0 1000 t | 2023 | — | flat |
| 12 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 12 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 12 | El Salvador | 0 1000 t | 2023 | — | flat |
| 12 | Serbia | 0 1000 t | 2023 | — | flat |
| 12 | Suriname | 0 1000 t | 2021 | — | flat |
| 12 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 12 | Slovenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Sweden | 0 1000 t | 2023 | — | flat |
| 12 | Eswatini | 0 1000 t | 2023 | — | flat |
| 12 | Seychelles | 0 1000 t | 2023 | — | flat |
| 12 | Thailand | 0 1000 t | 2023 | — | flat |
| 12 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 12 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Uganda | 0 1000 t | 2023 | — | flat |
| 12 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 12 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 12 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 12 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 12 | Samoa | 0 1000 t | 2020 | — | flat |
| 12 | Yemen | 0 1000 t | 2023 | — | flat |
| 12 | Zambia | 0 1000 t | 2023 | — | flat |
| 12 | Zimbabwe | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Micronesia | 0 1000 t | 2023 | — | flat |
| 12 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 12 | Melanesia | 0 1000 t | 2023 | — | flat |
| 12 | Polynesia | 0 1000 t | 2023 | — | flat |
| 12 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 12 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 12 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 12 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 12 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 12 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | flat |
| 12 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | flat |
| 12 | Türkiye | 0 1000 t | 2023 | up 100.0% | volatile |
| 12 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | China, mainland | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 12 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 12 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 12 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 158 | Germany | -1 1000 t | 2023 | down 133.3% | volatile |
| 158 | Dominican Republic | -1 1000 t | 2023 | down 200.0% | flat |
| 158 | Malaysia | -1 1000 t | 2023 | down 200.0% | volatile |
| 158 | Philippines | -1 1000 t | 2023 | down 200.0% | volatile |
| 158 | Caribbean | -1 1000 t | 2023 | down 200.0% | volatile |
| 163 | United Arab Emirates | -6 1000 t | 2023 | down 200.0% | volatile |
| 164 | Libya | -35 1000 t | 2023 | down 333.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Americas 26 1000 t
- Northern America 19 1000 t
- United States of America 19 1000 t
- European Union (27) 17 1000 t
- Europe 17 1000 t
- World 12 1000 t
- Western Europe 11 1000 t
- Land Locked Developing Countries (LLDCs) 10 1000 t
- South America 8 1000 t
- Southern Europe 5 1000 t
- Eastern Asia 3 1000 t
- Asia 2 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.