Oilseed Cakes, Other — Import Quantity by country
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
Oilseed Cakes, Other — Import Quantity is currently reported for 151 countries. The highest value is 472,698 t in Republic of Korea; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 88 t, and the mean is 10,830 t.
Over the past decade 35 countries rose and 49 fell. The largest increase was in New Zealand (up 18,311.1%), and the largest decrease in Bahamas (down 100.0%).
Oilseed Cakes, Other — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 472,698 t | 2013 | up 797.8% | volatile |
| 2 | Belgium-Luxembourg | 195,448 t | 1999 | down 54.3% | volatile |
| 3 | Bangladesh | 136,000 t | 2013 | up 246.6% | volatile |
| 4 | France | 133,042 t | 2013 | down 17.2% | rising |
| 5 | Israel | 77,928 t | 2013 | — | volatile |
| 6 | China, Taiwan Province of | 68,264 t | 2013 | down 20.3% | volatile |
| 7 | Indonesia | 64,041 t | 2013 | up 177.1% | volatile |
| 8 | Yemen | 61,150 t | 2013 | — | volatile |
| 9 | United Kingdom of Great Britain and Northern Ireland | 50,140 t | 2013 | up 474.0% | volatile |
| 10 | Japan | 38,716 t | 2013 | up 275.2% | volatile |
| 11 | Uruguay | 37,007 t | 2013 | up 144.8% | volatile |
| 12 | Belgium | 31,111 t | 2013 | down 71.2% | volatile |
| 13 | Spain | 27,224 t | 2013 | up 145.6% | volatile |
| 14 | Netherlands (Kingdom of the) | 24,720 t | 2013 | down 48.1% | volatile |
| 15 | India | 21,054 t | 2013 | up 92.4% | volatile |
| 16 | Oman | 17,804 t | 2013 | — | volatile |
| 17 | North Macedonia | 17,752 t | 2013 | — | volatile |
| 18 | Malaysia | 15,373 t | 2013 | up 134.2% | volatile |
| 19 | Italy | 14,203 t | 2013 | down 67.4% | volatile |
| 20 | T�rkiye | 13,825 t | 2013 | up 235.8% | volatile |
| 21 | Thailand | 11,610 t | 2013 | down 11.4% | volatile |
| 22 | Canada | 11,007 t | 2013 | up 77.5% | volatile |
| 23 | Mexico | 10,164 t | 2013 | down 22.8% | volatile |
| 24 | Austria | 9,769 t | 2013 | up 131.5% | falling |
| 25 | Czechia | 8,364 t | 2013 | up 7,865.7% | volatile |
| 26 | Poland | 8,253 t | 2013 | up 251.9% | volatile |
| 27 | Denmark | 6,828 t | 2013 | down 56.9% | volatile |
| 28 | Czechoslovakia | 6,600 t | 1992 | up 120.0% | volatile |
| 29 | Zimbabwe | 4,770 t | 2013 | up 707.1% | volatile |
| 30 | Chile | 4,257 t | 2013 | up 2,028.5% | volatile |
| 31 | Germany | 3,718 t | 2013 | down 54.6% | volatile |
| 32 | Belarus | 3,392 t | 2013 | up 448.0% | volatile |
| 33 | Portugal | 3,249 t | 2013 | — | volatile |
| 34 | Kyrgyzstan | 2,348 t | 2013 | up 1.1% | volatile |
| 35 | Australia and New Zealand | 1,814 t | 2013 | up 732.1% | volatile |
| 36 | New Zealand | 1,657 t | 2013 | up 18,311.1% | volatile |
| 37 | Switzerland | 1,656 t | 2013 | up 49.7% | volatile |
| 38 | Egypt | 1,634 t | 2013 | up 1,584.5% | volatile |
| 39 | Iran (Islamic Republic of) | 1,546 t | 2013 | — | volatile |
| 40 | Philippines | 1,348 t | 2013 | down 35.5% | volatile |
| 41 | Slovenia | 1,158 t | 2013 | up 72.8% | volatile |
| 42 | Nepal | 766 t | 2013 | down 40.9% | volatile |
| 43 | Latvia | 764 t | 2013 | up 1,314.8% | volatile |
| 44 | Kazakhstan | 762 t | 2013 | — | volatile |
| 45 | Ireland | 757 t | 2013 | down 85.6% | volatile |
| 46 | Madagascar | 746 t | 2013 | — | volatile |
| 47 | Hungary | 739 t | 2013 | up 4,826.7% | volatile |
| 48 | Croatia | 656 t | 2013 | down 19.6% | volatile |
| 49 | Iceland | 642 t | 2013 | — | volatile |
| 50 | Sri Lanka | 568 t | 2013 | — | volatile |
| 51 | Namibia | 473 t | 2013 | down 33.8% | volatile |
| 52 | Serbia | 465 t | 2013 | — | volatile |
| 53 | Kenya | 446 t | 2013 | — | volatile |
| 54 | Honduras | 427 t | 2013 | up 916.7% | volatile |
| 55 | Luxembourg | 400 t | 2013 | down 29.7% | volatile |
| 56 | Finland | 361 t | 2013 | down 36.2% | volatile |
| 57 | Eswatini | 346 t | 2013 | up 408.8% | volatile |
| 58 | Albania | 334 t | 2013 | up 133.6% | volatile |
| 59 | Argentina | 260 t | 2013 | — | volatile |
| 60 | Kuwait | 223 t | 2013 | down 71.9% | volatile |
| 61 | United Arab Emirates | 214 t | 2013 | up 79.8% | volatile |
| 62 | Lithuania | 186 t | 2013 | down 51.9% | volatile |
| 63 | Brunei Darussalam | 178 t | 2013 | up 423.5% | volatile |
| 64 | Australia | 157 t | 2013 | down 24.9% | volatile |
| 65 | Costa Rica | 154 t | 2013 | — | volatile |
| 66 | Slovakia | 122.96 t | 2013 | down 80.6% | volatile |
| 67 | C�te d'Ivoire | 118 t | 2013 | — | volatile |
| 68 | Sweden | 114 t | 2013 | down 81.7% | volatile |
| 69 | Bulgaria | 112 t | 2013 | up 148.9% | volatile |
| 70 | Estonia | 107 t | 2013 | up 30.5% | volatile |
| 71 | Cabo Verde | 104 t | 2013 | — | volatile |
| 72 | Yugoslav SFR | 98.62 t | 1991 | — | volatile |
| 73 | Brazil | 90 t | 2013 | up 2,900.0% | volatile |
| 73 | Romania | 90 t | 2013 | — | volatile |
| 73 | China, Hong Kong SAR | 90 t | 2013 | down 36.2% | volatile |
| 76 | China, mainland | 88 t | 2013 | down 85.6% | volatile |
| 77 | Niger | 80 t | 2013 | — | volatile |
| 78 | Caribbean | 73 t | 2013 | down 98.4% | volatile |
| 79 | Botswana | 66 t | 2013 | down 68.3% | volatile |
| 80 | Barbados | 54 t | 2013 | down 34.1% | volatile |
| 81 | Senegal | 40 t | 2013 | — | volatile |
| 82 | Greece | 35 t | 2013 | down 98.5% | volatile |
| 83 | Ukraine | 30 t | 2013 | — | volatile |
| 84 | Mauritania | 22 t | 2013 | — | volatile |
| 85 | Lebanon | 21 t | 2013 | — | volatile |
| 86 | Burkina Faso | 18 t | 2013 | — | volatile |
| 87 | Colombia | 17 t | 2013 | — | volatile |
| 88 | Russian Federation | 13 t | 2013 | down 99.4% | volatile |
| 89 | Haiti | 11 t | 2013 | down 98.1% | volatile |
| 89 | Nicaragua | 11 t | 2013 | down 83.3% | volatile |
| 91 | Malawi | 10 t | 2013 | up 150.0% | volatile |
| 92 | Bosnia and Herzegovina | 9 t | 2013 | — | volatile |
| 93 | Georgia | 8 t | 2013 | down 91.4% | volatile |
| 93 | Uganda | 8 t | 2013 | — | volatile |
| 95 | Zambia | 6 t | 2013 | — | volatile |
| 96 | Guatemala | 5 t | 2013 | — | volatile |
| 96 | Togo | 5 t | 2013 | — | volatile |
| 98 | Saint Kitts and Nevis | 4 t | 2013 | unchanged | volatile |
| 98 | Trinidad and Tobago | 4 t | 2013 | down 69.2% | volatile |
| 100 | Nigeria | 3 t | 2013 | — | volatile |
| 100 | Pakistan | 3 t | 2013 | — | volatile |
| 100 | Peru | 3 t | 2013 | down 99.1% | volatile |
| 100 | Rwanda | 3 t | 2013 | down 94.3% | volatile |
| 104 | Gabon | 2 t | 2013 | down 66.7% | volatile |
| 105 | Ghana | 1 t | 2013 | down 96.7% | volatile |
| 105 | Cambodia | 1 t | 2013 | — | volatile |
| 105 | Norway | 1 t | 2013 | down 93.3% | volatile |
| 105 | French Polynesia | 1 t | 2013 | — | volatile |
| 105 | Polynesia | 1 t | 2013 | — | volatile |
| 110 | Angola | 0 t | 2013 | — | volatile |
| 110 | Armenia | 0 t | 2013 | — | volatile |
| 110 | Antigua and Barbuda | 0 t | 2013 | — | volatile |
| 110 | Azerbaijan | 0 t | 2013 | — | volatile |
| 110 | Benin | 0 t | 2013 | — | volatile |
| 110 | Bahamas | 0 t | 2013 | down 100.0% | volatile |
| 110 | Cameroon | 0 t | 2013 | — | volatile |
| 110 | Congo | 0 t | 2013 | — | volatile |
| 110 | Cuba | 0 t | 2013 | down 100.0% | volatile |
| 110 | Cyprus | 0 t | 2013 | — | volatile |
| 110 | Dominican Republic | 0 t | 2013 | — | volatile |
| 110 | Algeria | 0 t | 2013 | — | volatile |
| 110 | Ecuador | 0 t | 2013 | down 100.0% | volatile |
| 110 | Ethiopia | 0 t | 2013 | — | volatile |
| 110 | Fiji | 0 t | 2013 | — | volatile |
| 110 | Guinea | 0 t | 2013 | down 100.0% | volatile |
| 110 | Gambia | 0 t | 2013 | — | volatile |
| 110 | Grenada | 0 t | 2013 | — | volatile |
| 110 | Guyana | 0 t | 2013 | — | volatile |
| 110 | Jamaica | 0 t | 2013 | down 100.0% | volatile |
| 110 | Jordan | 0 t | 2013 | — | volatile |
| 110 | Saint Lucia | 0 t | 2013 | — | volatile |
| 110 | Morocco | 0 t | 2013 | — | volatile |
| 110 | Mali | 0 t | 2013 | — | volatile |
| 110 | Malta | 0 t | 2013 | down 100.0% | volatile |
| 110 | Mongolia | 0 t | 2013 | — | volatile |
| 110 | Mauritius | 0 t | 2013 | — | volatile |
| 110 | New Caledonia | 0 t | 2013 | — | volatile |
| 110 | Panama | 0 t | 2013 | — | volatile |
| 110 | Paraguay | 0 t | 2013 | — | volatile |
| 110 | Saudi Arabia | 0 t | 2013 | down 100.0% | volatile |
| 110 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 110 | Suriname | 0 t | 2013 | down 100.0% | volatile |
| 110 | Tunisia | 0 t | 2013 | — | volatile |
| 110 | Samoa | 0 t | 2013 | — | volatile |
| 110 | USSR | 0 t | 1991 | — | flat |
| 110 | Melanesia | 0 t | 2013 | — | volatile |
| 110 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | down 100.0% | volatile |
| 110 | United Republic of Tanzania | 0 t | 2013 | down 100.0% | volatile |
| 110 | Democratic People's Republic of Korea | 0 t | 2013 | — | volatile |
| 110 | Ethiopia PDR | 0 t | 1992 | — | volatile |
| 110 | China, Macao SAR | 0 t | 2013 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1.45 million t
- Asia 1.01 million t
- Eastern Asia 579,856 t
- Europe 350,516 t
- European Union (27) 276,082 t
- Low Income Food Deficit Countries 227,613 t
- Western Europe 204,416 t
- Net Food Importing Developing Countries 203,014 t
- Least Developed Countries 198,866 t
- Western Asia 171,173 t
- Southern Asia 159,937 t
- South-eastern Asia 92,551 t
About this data
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 caput 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.