Rape and Mustardseed — 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...
Countries reporting
180
Highest
6,655 1000 t
Germany
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,830
What the numbers show
Rape and Mustardseed — Import quantity is currently reported for 180 countries. The highest value is 6,655 1000 t in Germany; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 174.5 1000 t.
Over the past decade 58 countries rose and 22 fell. The largest increase was in Bulgaria (up 4,850.0%), and the largest decrease in Lesotho (down 100.0%).
Rape and Mustardseed — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 6,655 1000 t | 2023 | up 43.1% | rising |
| 2 | China | 5,502 1000 t | 2023 | up 49.8% | rising |
| 3 | China, mainland | 5,496 1000 t | 2023 | up 50.0% | rising |
| 4 | Belgium | 2,894 1000 t | 2023 | up 44.7% | rising |
| 5 | France | 1,614 1000 t | 2023 | up 41.6% | rising |
| 6 | Mexico | 1,441 1000 t | 2023 | up 3.2% | falling |
| 7 | Pakistan | 1,113 1000 t | 2023 | up 117.4% | falling |
| 8 | United Arab Emirates | 1,077 1000 t | 2023 | up 89.6% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 777 1000 t | 2023 | up 300.5% | volatile |
| 10 | Netherlands (Kingdom of the) | 771 1000 t | 2023 | down 54.3% | falling |
| 11 | Czechia | 499 1000 t | 2023 | up 244.1% | volatile |
| 12 | Poland | 357 1000 t | 2023 | up 50.6% | rising |
| 13 | Bangladesh | 355 1000 t | 2023 | up 367.1% | volatile |
| 14 | Austria | 334 1000 t | 2023 | up 31.5% | rising |
| 15 | Canada | 312 1000 t | 2023 | up 202.9% | rising |
| 16 | Latvia | 203 1000 t | 2023 | up 178.1% | rising |
| 16 | Romania | 203 1000 t | 2023 | up 576.7% | volatile |
| 18 | Hungary | 189 1000 t | 2023 | up 44.3% | volatile |
| 19 | Portugal | 149 1000 t | 2023 | down 3.2% | falling |
| 20 | Spain | 134 1000 t | 2023 | up 179.2% | rising |
| 21 | Finland | 125 1000 t | 2023 | down 0.8% | falling |
| 22 | Greece | 121 1000 t | 2023 | up 404.2% | volatile |
| 23 | Bulgaria | 99 1000 t | 2023 | up 4,850.0% | volatile |
| 23 | Nepal | 99 1000 t | 2023 | up 30.3% | rising |
| 25 | Türkiye | 86 1000 t | 2023 | down 37.7% | volatile |
| 26 | Sweden | 82 1000 t | 2023 | up 256.5% | rising |
| 27 | Denmark | 65 1000 t | 2023 | down 11.0% | falling |
| 28 | Malaysia | 60 1000 t | 2023 | up 328.6% | volatile |
| 29 | Estonia | 53 1000 t | 2023 | up 253.3% | volatile |
| 30 | Lithuania | 51 1000 t | 2023 | up 537.5% | volatile |
| 31 | Slovakia | 50 1000 t | 2023 | up 163.2% | volatile |
| 32 | Kazakhstan | 31 1000 t | 2023 | up 520.0% | volatile |
| 33 | Republic of Korea | 29 1000 t | 2023 | down 59.7% | falling |
| 34 | Australia and New Zealand | 27 1000 t | 2023 | up 80.0% | rising |
| 35 | Italy | 22 1000 t | 2023 | down 54.2% | volatile |
| 35 | Ukraine | 22 1000 t | 2023 | up 633.3% | volatile |
| 35 | Russian Federation | 22 1000 t | 2023 | up 175.0% | volatile |
| 38 | Iran (Islamic Republic of) | 19 1000 t | 2023 | up 11.8% | volatile |
| 39 | Croatia | 18 1000 t | 2023 | up 1,700.0% | volatile |
| 40 | Tajikistan | 17 1000 t | 2023 | up 750.0% | volatile |
| 41 | New Zealand | 14 1000 t | 2023 | up 250.0% | volatile |
| 42 | Australia | 13 1000 t | 2023 | up 18.2% | rising |
| 42 | Saudi Arabia | 13 1000 t | 2023 | up 225.0% | volatile |
| 44 | Côte d'Ivoire | 12 1000 t | 2023 | up 500.0% | volatile |
| 45 | Bosnia and Herzegovina | 11 1000 t | 2023 | down 21.4% | volatile |
| 46 | Chile | 10 1000 t | 2023 | up 400.0% | volatile |
| 47 | Brazil | 9 1000 t | 2023 | down 67.9% | volatile |
| 48 | Mongolia | 7 1000 t | 2023 | up 600.0% | volatile |
| 49 | Honduras | 6 1000 t | 2023 | up 50.0% | rising |
| 49 | El Salvador | 6 1000 t | 2023 | up 20.0% | rising |
| 51 | Switzerland | 5 1000 t | 2023 | down 50.0% | falling |
| 51 | Gabon | 5 1000 t | 2023 | up 66.7% | rising |
| 51 | Ireland | 5 1000 t | 2023 | down 16.7% | volatile |
| 51 | Norway | 5 1000 t | 2023 | down 50.0% | falling |
| 51 | Thailand | 5 1000 t | 2023 | up 150.0% | volatile |
| 51 | Caribbean | 5 1000 t | 2023 | up 66.7% | rising |
| 57 | Lebanon | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Luxembourg | 4 1000 t | 2023 | up 33.3% | falling |
| 57 | Senegal | 4 1000 t | 2023 | unchanged | rising |
| 57 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | up 100.0% | volatile |
| 61 | Egypt | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Gambia | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Jordan | 3 1000 t | 2023 | up 200.0% | volatile |
| 61 | Morocco | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Nigeria | 3 1000 t | 2023 | — | volatile |
| 61 | Panama | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Uruguay | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Republic of Moldova | 3 1000 t | 2023 | up 200.0% | volatile |
| 61 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | falling |
| 70 | Afghanistan | 2 1000 t | 2023 | — | volatile |
| 70 | Costa Rica | 2 1000 t | 2023 | unchanged | rising |
| 70 | Algeria | 2 1000 t | 2023 | down 50.0% | falling |
| 70 | Ecuador | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Guyana | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Israel | 2 1000 t | 2023 | down 96.4% | volatile |
| 70 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 70 | Sri Lanka | 2 1000 t | 2023 | unchanged | flat |
| 70 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 70 | Paraguay | 2 1000 t | 2023 | down 33.3% | falling |
| 70 | China, Hong Kong SAR | 2 1000 t | 2023 | down 50.0% | falling |
| 70 | Viet Nam | 2 1000 t | 2023 | up 100.0% | rising |
| 82 | Albania | 1 1000 t | 2023 | — | volatile |
| 82 | Argentina | 1 1000 t | 2023 | unchanged | rising |
| 82 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 82 | Bahamas | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Belarus | 1 1000 t | 2023 | down 75.0% | volatile |
| 82 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 82 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 82 | Congo | 1 1000 t | 2023 | — | volatile |
| 82 | Colombia | 1 1000 t | 2023 | unchanged | rising |
| 82 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 82 | Cyprus | 1 1000 t | 2023 | unchanged | rising |
| 82 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 82 | Georgia | 1 1000 t | 2023 | — | volatile |
| 82 | Guinea | 1 1000 t | 2023 | — | volatile |
| 82 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 82 | Haiti | 1 1000 t | 2023 | — | volatile |
| 82 | Indonesia | 1 1000 t | 2023 | unchanged | rising |
| 82 | India | 1 1000 t | 2023 | — | volatile |
| 82 | Iraq | 1 1000 t | 2023 | — | volatile |
| 82 | Iceland | 1 1000 t | 2023 | unchanged | flat |
| 82 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 82 | Kenya | 1 1000 t | 2023 | — | volatile |
| 82 | Maldives | 1 1000 t | 2023 | — | volatile |
| 82 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 82 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 82 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 82 | Nicaragua | 1 1000 t | 2023 | down 66.7% | falling |
| 82 | Peru | 1 1000 t | 2023 | unchanged | rising |
| 82 | Philippines | 1 1000 t | 2023 | — | volatile |
| 82 | Qatar | 1 1000 t | 2023 | — | volatile |
| 82 | Serbia | 1 1000 t | 2023 | — | volatile |
| 82 | Slovenia | 1 1000 t | 2023 | down 75.0% | volatile |
| 82 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Tunisia | 1 1000 t | 2023 | unchanged | flat |
| 82 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 82 | Melanesia | 1 1000 t | 2023 | unchanged | falling |
| 82 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 82 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | volatile |
| 121 | Angola | 0 1000 t | 2023 | — | flat |
| 121 | Armenia | 0 1000 t | 2023 | — | flat |
| 121 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 121 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 121 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 121 | Belize | 0 1000 t | 2023 | — | flat |
| 121 | Bhutan | 0 1000 t | 2023 | — | flat |
| 121 | Botswana | 0 1000 t | 2023 | — | volatile |
| 121 | Comoros | 0 1000 t | 2023 | — | flat |
| 121 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 121 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 121 | Fiji | 0 1000 t | 2023 | — | flat |
| 121 | Ghana | 0 1000 t | 2023 | — | volatile |
| 121 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 121 | Grenada | 0 1000 t | 2023 | — | flat |
| 121 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 121 | Cambodia | 0 1000 t | 2023 | — | flat |
| 121 | Kiribati | 0 1000 t | 2023 | — | flat |
| 121 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 121 | Liberia | 0 1000 t | 2023 | — | flat |
| 121 | Libya | 0 1000 t | 2023 | — | volatile |
| 121 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 121 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Madagascar | 0 1000 t | 2023 | — | flat |
| 121 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 121 | Malta | 0 1000 t | 2023 | — | flat |
| 121 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 121 | Montenegro | 0 1000 t | 2023 | — | flat |
| 121 | Mozambique | 0 1000 t | 2023 | — | flat |
| 121 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 121 | Malawi | 0 1000 t | 2023 | — | flat |
| 121 | Niger | 0 1000 t | 2023 | — | volatile |
| 121 | Nauru | 0 1000 t | 2023 | — | flat |
| 121 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 121 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 121 | Rwanda | 0 1000 t | 2023 | — | flat |
| 121 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 121 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 121 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 121 | Suriname | 0 1000 t | 2023 | — | flat |
| 121 | Eswatini | 0 1000 t | 2023 | — | flat |
| 121 | Seychelles | 0 1000 t | 2023 | — | flat |
| 121 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 121 | Tonga | 0 1000 t | 2023 | — | flat |
| 121 | Uganda | 0 1000 t | 2023 | — | flat |
| 121 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 121 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 121 | Samoa | 0 1000 t | 2023 | — | flat |
| 121 | Yemen | 0 1000 t | 2023 | — | flat |
| 121 | Zambia | 0 1000 t | 2023 | — | flat |
| 121 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 121 | Micronesia | 0 1000 t | 2023 | — | flat |
| 121 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 121 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 121 | Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 121 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 121 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 121 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 121 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 121 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 28,398 1000 t
- Europe 15,547 1000 t
- European Union (27) 14,698 1000 t
- Western Europe 12,277 1000 t
- Asia 10,493 1000 t
- Eastern Asia 7,587 1000 t
- Americas 2,279 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,646 1000 t
- Southern Asia 1,592 1000 t
- Central America 1,460 1000 t
- Eastern Europe 1,444 1000 t
- Northern Europe 1,366 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.