Rape and Mustard Oil — Import 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
Rape and Mustard Oil — Import quantity is currently reported for 179 countries. The highest value is 2,429 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 0 1000 t, and the mean is 56.4 1000 t.
Over the past decade 36 countries rose and 35 fell. The largest increase was in Russian Federation (up 12,000.0%), and the largest decrease in Afghanistan (down 100.0%).
Rape and Mustard Oil — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,429 1000 t | 2023 | up 51.5% | rising |
| 2 | China, mainland | 2,359 1000 t | 2023 | up 54.5% | rising |
| 3 | Netherlands (Kingdom of the) | 1,055 1000 t | 2023 | up 81.3% | rising |
| 4 | Belgium | 642 1000 t | 2023 | up 88.8% | rising |
| 5 | Norway | 455 1000 t | 2023 | up 43.5% | rising |
| 6 | Germany | 446 1000 t | 2023 | up 139.8% | flat |
| 7 | Poland | 197 1000 t | 2023 | up 137.3% | rising |
| 7 | Sweden | 197 1000 t | 2023 | up 20.1% | rising |
| 9 | Mexico | 176 1000 t | 2023 | up 266.7% | volatile |
| 10 | Spain | 160 1000 t | 2023 | up 300.0% | volatile |
| 11 | Republic of Korea | 152 1000 t | 2023 | up 130.3% | rising |
| 12 | France | 142 1000 t | 2023 | down 47.2% | falling |
| 13 | United Kingdom of Great Britain and Northern Ireland | 140 1000 t | 2023 | up 12.0% | rising |
| 14 | Austria | 137 1000 t | 2023 | down 1.4% | falling |
| 14 | Latvia | 137 1000 t | 2023 | up 110.8% | volatile |
| 16 | Russian Federation | 121 1000 t | 2023 | up 12,000.0% | volatile |
| 17 | Chile | 105 1000 t | 2023 | up 133.3% | rising |
| 18 | Australia and New Zealand | 87 1000 t | 2023 | up 55.4% | rising |
| 19 | Israel | 76 1000 t | 2023 | up 111.1% | rising |
| 20 | Lithuania | 73 1000 t | 2023 | down 19.8% | rising |
| 21 | New Zealand | 72 1000 t | 2023 | up 89.5% | rising |
| 22 | Malaysia | 66 1000 t | 2023 | up 26.9% | rising |
| 23 | Denmark | 56 1000 t | 2023 | down 1.8% | rising |
| 24 | Hungary | 55 1000 t | 2023 | up 27.9% | rising |
| 25 | Ireland | 40 1000 t | 2023 | up 2.6% | rising |
| 26 | Slovakia | 35 1000 t | 2023 | down 47.8% | falling |
| 26 | China, Hong Kong SAR | 35 1000 t | 2023 | down 31.4% | falling |
| 28 | China, Taiwan Province of | 33 1000 t | 2023 | up 57.1% | rising |
| 29 | Czechia | 32 1000 t | 2023 | down 64.0% | volatile |
| 30 | Switzerland | 26 1000 t | 2023 | up 225.0% | rising |
| 31 | Philippines | 25 1000 t | 2023 | — | volatile |
| 31 | Portugal | 25 1000 t | 2023 | down 60.9% | falling |
| 33 | Italy | 24 1000 t | 2023 | down 80.8% | volatile |
| 34 | Finland | 23 1000 t | 2023 | up 360.0% | volatile |
| 35 | Canada | 22 1000 t | 2023 | down 72.8% | volatile |
| 36 | Pakistan | 21 1000 t | 2023 | — | volatile |
| 37 | Greece | 17 1000 t | 2023 | up 142.9% | volatile |
| 38 | Australia | 15 1000 t | 2023 | down 16.7% | falling |
| 38 | Brazil | 15 1000 t | 2023 | up 36.4% | rising |
| 38 | Türkiye | 15 1000 t | 2023 | — | volatile |
| 41 | Estonia | 12 1000 t | 2023 | up 9.1% | rising |
| 42 | Viet Nam | 10 1000 t | 2023 | up 233.3% | volatile |
| 43 | Indonesia | 9 1000 t | 2023 | up 80.0% | rising |
| 43 | Tunisia | 9 1000 t | 2023 | — | volatile |
| 45 | Saudi Arabia | 8 1000 t | 2023 | up 166.7% | volatile |
| 45 | Slovenia | 8 1000 t | 2023 | down 27.3% | falling |
| 47 | United Arab Emirates | 7 1000 t | 2023 | up 250.0% | volatile |
| 47 | Algeria | 7 1000 t | 2023 | — | volatile |
| 47 | Croatia | 7 1000 t | 2023 | down 75.0% | volatile |
| 47 | India | 7 1000 t | 2023 | down 82.1% | volatile |
| 47 | Tajikistan | 7 1000 t | 2023 | — | volatile |
| 52 | Romania | 6 1000 t | 2023 | down 73.9% | falling |
| 53 | Colombia | 5 1000 t | 2023 | down 61.5% | rising |
| 53 | Caribbean | 5 1000 t | 2023 | up 150.0% | volatile |
| 55 | Dominican Republic | 4 1000 t | 2023 | unchanged | volatile |
| 55 | Iceland | 4 1000 t | 2023 | up 100.0% | rising |
| 57 | Kenya | 3 1000 t | 2023 | — | volatile |
| 57 | Thailand | 3 1000 t | 2023 | up 200.0% | volatile |
| 59 | Bulgaria | 2 1000 t | 2023 | down 81.8% | volatile |
| 59 | Bosnia and Herzegovina | 2 1000 t | 2023 | up 100.0% | volatile |
| 59 | Honduras | 2 1000 t | 2023 | unchanged | volatile |
| 59 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 59 | Qatar | 2 1000 t | 2023 | — | rising |
| 59 | Serbia | 2 1000 t | 2023 | up 100.0% | volatile |
| 59 | China, Macao SAR | 2 1000 t | 2023 | down 50.0% | falling |
| 66 | Argentina | 1 1000 t | 2023 | down 50.0% | flat |
| 66 | Bahrain | 1 1000 t | 2023 | — | flat |
| 66 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 66 | Cyprus | 1 1000 t | 2023 | down 80.0% | volatile |
| 66 | Ecuador | 1 1000 t | 2023 | unchanged | falling |
| 66 | Egypt | 1 1000 t | 2023 | — | volatile |
| 66 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 66 | Fiji | 1 1000 t | 2023 | down 66.7% | rising |
| 66 | Guatemala | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Kazakhstan | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Kuwait | 1 1000 t | 2023 | — | rising |
| 66 | Lebanon | 1 1000 t | 2023 | down 50.0% | falling |
| 66 | Morocco | 1 1000 t | 2023 | down 87.5% | volatile |
| 66 | Malta | 1 1000 t | 2023 | — | volatile |
| 66 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Panama | 1 1000 t | 2023 | down 50.0% | rising |
| 66 | El Salvador | 1 1000 t | 2023 | unchanged | rising |
| 66 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 66 | Ukraine | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 66 | Melanesia | 1 1000 t | 2023 | down 66.7% | rising |
| 89 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Albania | 0 1000 t | 2023 | — | flat |
| 89 | Armenia | 0 1000 t | 2023 | — | flat |
| 89 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 89 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 89 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 89 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 89 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 89 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Belize | 0 1000 t | 2023 | — | flat |
| 89 | Barbados | 0 1000 t | 2023 | — | flat |
| 89 | Bhutan | 0 1000 t | 2023 | — | flat |
| 89 | Botswana | 0 1000 t | 2023 | — | volatile |
| 89 | Cameroon | 0 1000 t | 2023 | — | flat |
| 89 | Congo | 0 1000 t | 2023 | — | flat |
| 89 | Comoros | 0 1000 t | 2023 | — | flat |
| 89 | Cuba | 0 1000 t | 2019 | — | volatile |
| 89 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 89 | Gabon | 0 1000 t | 2023 | — | flat |
| 89 | Georgia | 0 1000 t | 2023 | — | flat |
| 89 | Ghana | 0 1000 t | 2023 | — | volatile |
| 89 | Guinea | 0 1000 t | 2023 | — | flat |
| 89 | Gambia | 0 1000 t | 2023 | — | flat |
| 89 | Guinea-Bissau | 0 1000 t | 2021 | — | flat |
| 89 | Grenada | 0 1000 t | 2023 | — | flat |
| 89 | Guyana | 0 1000 t | 2023 | — | flat |
| 89 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Iraq | 0 1000 t | 2023 | — | volatile |
| 89 | Jamaica | 0 1000 t | 2023 | — | flat |
| 89 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Cambodia | 0 1000 t | 2023 | — | flat |
| 89 | Kiribati | 0 1000 t | 2023 | — | flat |
| 89 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 89 | Liberia | 0 1000 t | 2023 | — | flat |
| 89 | Libya | 0 1000 t | 2023 | — | flat |
| 89 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 89 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 89 | Lesotho | 0 1000 t | 2023 | — | flat |
| 89 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 89 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 89 | Maldives | 0 1000 t | 2023 | — | flat |
| 89 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 89 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 89 | Myanmar | 0 1000 t | 2023 | — | flat |
| 89 | Montenegro | 0 1000 t | 2023 | — | flat |
| 89 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Mozambique | 0 1000 t | 2023 | — | flat |
| 89 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Malawi | 0 1000 t | 2023 | — | flat |
| 89 | Namibia | 0 1000 t | 2023 | — | flat |
| 89 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 89 | Niger | 0 1000 t | 2023 | — | flat |
| 89 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 89 | Nepal | 0 1000 t | 2023 | — | volatile |
| 89 | Nauru | 0 1000 t | 2023 | — | flat |
| 89 | Peru | 0 1000 t | 2023 | — | volatile |
| 89 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 89 | Paraguay | 0 1000 t | 2023 | — | flat |
| 89 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 89 | Rwanda | 0 1000 t | 2023 | — | flat |
| 89 | Senegal | 0 1000 t | 2023 | — | flat |
| 89 | Solomon Islands | 0 1000 t | 2022 | — | flat |
| 89 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 89 | Suriname | 0 1000 t | 2023 | — | flat |
| 89 | Eswatini | 0 1000 t | 2023 | — | flat |
| 89 | Seychelles | 0 1000 t | 2023 | — | flat |
| 89 | Turkmenistan | 0 1000 t | 2022 | — | flat |
| 89 | Tonga | 0 1000 t | 2023 | — | flat |
| 89 | Uganda | 0 1000 t | 2023 | — | flat |
| 89 | Uruguay | 0 1000 t | 2023 | — | flat |
| 89 | Saint Vincent and the Grenadines | 0 1000 t | 2022 | — | flat |
| 89 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 89 | Samoa | 0 1000 t | 2023 | — | flat |
| 89 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Zambia | 0 1000 t | 2023 | — | flat |
| 89 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 89 | Micronesia | 0 1000 t | 2023 | — | flat |
| 89 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 89 | Cabo Verde | 0 1000 t | 2022 | — | flat |
| 89 | Polynesia | 0 1000 t | 2023 | — | flat |
| 89 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 89 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 89 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 89 | Syrian Arab Republic | 0 1000 t | 2019 | — | volatile |
| 89 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 89 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 89 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 89 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 89 | Democratic People's Republic of Korea | 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 10,592 1000 t
- Europe 4,279 1000 t
- European Union (27) 3,530 1000 t
- Americas 3,342 1000 t
- Northern America 3,026 1000 t
- United States of America 3,004 1000 t
- Asia 2,859 1000 t
- Eastern Asia 2,594 1000 t
- Western Europe 2,448 1000 t
- Northern Europe 1,137 1000 t
- Eastern Europe 449 1000 t
- Southern Europe 245 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.