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...

Countries reporting
151
Highest
472,698 t
Republic of Korea
Lowest
0 t
China, Macao SAR
Median
88 t
Years covered
53
1961–2013
Data points
8,855

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 LatestYear 10-year changeTrend
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.

About this data

Indicator
Oilseed Cakes, Other — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
183 places, 8,855 data points, 1961–2013
Last refreshed

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.