Maize Germ Oil — Domestic supply 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 — Domestic supply quantity is currently reported for 175 countries. The highest value is 544 1000 t in China; the lowest is -4 1000 t in Poland.
The median across all reporting countries is 0 1000 t, and the mean is 13.29 1000 t.
The gap between the highest and lowest reporting country is a factor of about 136.
Over the past decade 25 countries rose and 40 fell. The largest increase was in Hungary (up 1,800.0%), and the largest decrease in Poland (down 500.0%).
Maize Germ Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 544 1000 t | 2023 | up 117.6% | rising |
| 2 | China, mainland | 532 1000 t | 2023 | up 123.5% | rising |
| 3 | Brazil | 147 1000 t | 2023 | up 153.4% | volatile |
| 4 | Libya | 70 1000 t | 2023 | down 12.5% | falling |
| 5 | Venezuela (Bolivarian Republic of) | 68 1000 t | 2023 | unchanged | falling |
| 6 | Italy | 62 1000 t | 2023 | down 7.5% | falling |
| 7 | Belgium | 54 1000 t | 2023 | up 42.1% | rising |
| 7 | France | 54 1000 t | 2023 | down 1.8% | flat |
| 9 | Germany | 51 1000 t | 2023 | up 325.0% | volatile |
| 10 | Republic of Korea | 48 1000 t | 2023 | up 336.4% | rising |
| 11 | Argentina | 45 1000 t | 2023 | up 125.0% | rising |
| 11 | Kuwait | 45 1000 t | 2023 | up 40.6% | rising |
| 13 | United Republic of Tanzania | 42 1000 t | 2023 | up 82.6% | rising |
| 14 | United Kingdom of Great Britain and Northern Ireland | 40 1000 t | 2023 | up 48.1% | rising |
| 15 | Canada | 35 1000 t | 2023 | down 35.2% | falling |
| 16 | Mozambique | 33 1000 t | 2023 | up 6.5% | rising |
| 17 | Saudi Arabia | 32 1000 t | 2023 | down 33.3% | falling |
| 18 | Spain | 27 1000 t | 2023 | up 8.0% | volatile |
| 18 | Democratic People's Republic of Korea | 27 1000 t | 2018 | unchanged | flat |
| 20 | Azerbaijan | 22 1000 t | 2023 | down 31.2% | falling |
| 21 | Hungary | 19 1000 t | 2023 | up 1,800.0% | volatile |
| 22 | Greece | 18 1000 t | 2023 | down 41.9% | falling |
| 23 | Egypt | 16 1000 t | 2023 | down 51.5% | falling |
| 23 | Oman | 16 1000 t | 2023 | up 220.0% | volatile |
| 23 | Philippines | 16 1000 t | 2023 | up 60.0% | rising |
| 23 | Qatar | 16 1000 t | 2023 | — | rising |
| 27 | Tunisia | 15 1000 t | 2023 | down 31.8% | rising |
| 28 | United Arab Emirates | 14 1000 t | 2023 | down 12.5% | falling |
| 28 | Colombia | 14 1000 t | 2023 | up 55.6% | rising |
| 30 | Mexico | 13 1000 t | 2023 | down 53.6% | falling |
| 30 | Uzbekistan | 13 1000 t | 2023 | up 160.0% | rising |
| 30 | Zimbabwe | 13 1000 t | 2023 | down 7.1% | flat |
| 33 | Kenya | 11 1000 t | 2023 | down 45.0% | falling |
| 33 | Paraguay | 11 1000 t | 2023 | — | volatile |
| 35 | Honduras | 10 1000 t | 2023 | unchanged | falling |
| 35 | Croatia | 10 1000 t | 2023 | up 11.1% | rising |
| 37 | Jordan | 9 1000 t | 2023 | down 40.0% | falling |
| 38 | Uruguay | 8 1000 t | 2023 | up 33.3% | rising |
| 38 | Netherlands (Kingdom of the) | 8 1000 t | 2023 | up 100.0% | volatile |
| 40 | Bulgaria | 7 1000 t | 2023 | unchanged | flat |
| 40 | Israel | 7 1000 t | 2023 | down 36.4% | falling |
| 40 | Ukraine | 7 1000 t | 2023 | up 250.0% | volatile |
| 40 | Russian Federation | 7 1000 t | 2023 | unchanged | volatile |
| 40 | China, Taiwan Province of | 7 1000 t | 2023 | up 16.7% | falling |
| 45 | Türkiye | 6 1000 t | 2023 | down 89.1% | volatile |
| 46 | China, Hong Kong SAR | 5 1000 t | 2023 | down 16.7% | flat |
| 47 | India | 4 1000 t | 2023 | down 20.0% | falling |
| 47 | Portugal | 4 1000 t | 2023 | down 50.0% | falling |
| 47 | Serbia | 4 1000 t | 2023 | up 33.3% | rising |
| 47 | Sweden | 4 1000 t | 2023 | up 300.0% | volatile |
| 47 | Syrian Arab Republic | 4 1000 t | 2023 | unchanged | flat |
| 53 | Iraq | 3 1000 t | 2023 | down 78.6% | falling |
| 53 | Malaysia | 3 1000 t | 2023 | down 66.7% | volatile |
| 53 | Slovenia | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Australia and New Zealand | 3 1000 t | 2023 | down 57.1% | falling |
| 57 | Australia | 2 1000 t | 2023 | down 60.0% | falling |
| 57 | Austria | 2 1000 t | 2023 | down 60.0% | volatile |
| 57 | Haiti | 2 1000 t | 2023 | — | volatile |
| 60 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 60 | Albania | 1 1000 t | 2023 | unchanged | flat |
| 60 | Bahrain | 1 1000 t | 2023 | — | falling |
| 60 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 60 | Switzerland | 1 1000 t | 2023 | unchanged | falling |
| 60 | Chile | 1 1000 t | 2023 | unchanged | rising |
| 60 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 60 | Algeria | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Estonia | 1 1000 t | 2023 | — | volatile |
| 60 | Georgia | 1 1000 t | 2023 | unchanged | rising |
| 60 | Indonesia | 1 1000 t | 2023 | down 85.7% | falling |
| 60 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 60 | Morocco | 1 1000 t | 2023 | down 50.0% | falling |
| 60 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 60 | New Zealand | 1 1000 t | 2023 | down 50.0% | rising |
| 60 | Romania | 1 1000 t | 2023 | down 50.0% | volatile |
| 60 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 80.0% | volatile |
| 60 | Republic of Moldova | 1 1000 t | 2023 | unchanged | falling |
| 60 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 79 | Angola | 0 1000 t | 2023 | — | volatile |
| 79 | Armenia | 0 1000 t | 2023 | — | volatile |
| 79 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 79 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 79 | Bahamas | 0 1000 t | 2023 | — | flat |
| 79 | Belarus | 0 1000 t | 2023 | — | volatile |
| 79 | Belize | 0 1000 t | 2023 | — | flat |
| 79 | Barbados | 0 1000 t | 2023 | — | volatile |
| 79 | Botswana | 0 1000 t | 2023 | — | flat |
| 79 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Congo | 0 1000 t | 2023 | — | flat |
| 79 | Comoros | 0 1000 t | 2023 | — | flat |
| 79 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Cuba | 0 1000 t | 2019 | — | flat |
| 79 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Djibouti | 0 1000 t | 2021 | — | flat |
| 79 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 79 | Finland | 0 1000 t | 2023 | — | flat |
| 79 | Fiji | 0 1000 t | 2023 | — | flat |
| 79 | Gabon | 0 1000 t | 2023 | — | flat |
| 79 | Ghana | 0 1000 t | 2023 | — | flat |
| 79 | Guinea | 0 1000 t | 2023 | — | flat |
| 79 | Gambia | 0 1000 t | 2023 | — | flat |
| 79 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 79 | Grenada | 0 1000 t | 2023 | — | flat |
| 79 | Guatemala | 0 1000 t | 2023 | — | flat |
| 79 | Guyana | 0 1000 t | 2023 | — | flat |
| 79 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Iceland | 0 1000 t | 2023 | — | flat |
| 79 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 79 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 79 | Cambodia | 0 1000 t | 2023 | — | flat |
| 79 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 79 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Liberia | 0 1000 t | 2023 | — | flat |
| 79 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 79 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 79 | Lesotho | 0 1000 t | 2023 | — | flat |
| 79 | Lithuania | 0 1000 t | 2023 | — | flat |
| 79 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 79 | Latvia | 0 1000 t | 2023 | — | flat |
| 79 | Madagascar | 0 1000 t | 2023 | — | flat |
| 79 | Maldives | 0 1000 t | 2023 | — | flat |
| 79 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 79 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 79 | Malta | 0 1000 t | 2023 | — | flat |
| 79 | Montenegro | 0 1000 t | 2023 | — | flat |
| 79 | Mongolia | 0 1000 t | 2023 | — | flat |
| 79 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 79 | Mauritius | 0 1000 t | 2023 | — | flat |
| 79 | Malawi | 0 1000 t | 2023 | — | flat |
| 79 | Namibia | 0 1000 t | 2023 | — | flat |
| 79 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 79 | Niger | 0 1000 t | 2023 | — | volatile |
| 79 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 79 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 79 | Norway | 0 1000 t | 2023 | — | flat |
| 79 | Nepal | 0 1000 t | 2023 | — | flat |
| 79 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 79 | Panama | 0 1000 t | 2023 | — | volatile |
| 79 | Peru | 0 1000 t | 2023 | — | flat |
| 79 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 79 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 79 | Rwanda | 0 1000 t | 2023 | — | flat |
| 79 | Senegal | 0 1000 t | 2023 | — | flat |
| 79 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 79 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 79 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 79 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 79 | Suriname | 0 1000 t | 2021 | — | flat |
| 79 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Eswatini | 0 1000 t | 2023 | — | flat |
| 79 | Seychelles | 0 1000 t | 2023 | — | flat |
| 79 | Thailand | 0 1000 t | 2023 | — | volatile |
| 79 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 79 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 79 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 79 | Uganda | 0 1000 t | 2023 | — | flat |
| 79 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 79 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 79 | Samoa | 0 1000 t | 2020 | — | flat |
| 79 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Zambia | 0 1000 t | 2023 | — | flat |
| 79 | Micronesia | 0 1000 t | 2023 | — | flat |
| 79 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 79 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 79 | Melanesia | 0 1000 t | 2023 | — | flat |
| 79 | Polynesia | 0 1000 t | 2023 | — | flat |
| 79 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 79 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 79 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 79 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 79 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 175 | Czechia | -1 1000 t | 2023 | — | volatile |
| 176 | Poland | -4 1000 t | 2023 | down 500.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,956 1000 t
- Americas 1,370 1000 t
- Northern America 1,048 1000 t
- United States of America 1,013 1000 t
- Asia 919 1000 t
- Eastern Asia 696 1000 t
- Europe 382 1000 t
- European Union (27) 321 1000 t
- South America 294 1000 t
- Africa 282 1000 t
- Net Food Importing Developing Countries (NFIDCs) 214 1000 t
- Western Asia 181 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.