Palmkernel Cake — 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
98
Highest
1.63 million t
Australia and New Zealand
Lowest
0 t
Brunei Darussalam
Median
17.5 t
Years covered
53
1961–2013
Data points
6,392

What the numbers show

Palmkernel Cake — Import Quantity is currently reported for 98 countries. The highest value is 1.63 million t in Australia and New Zealand; the lowest is 0 t in Brunei Darussalam.

The median across all reporting countries is 17.5 t, and the mean is 92,174 t.

Over the past decade 19 countries rose and 23 fell. The largest increase was in China, mainland (up 384,169.0%), and the largest decrease in Brazil (down 100.0%).

Palmkernel Cake — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Australia and New Zealand 1.63 million t 2013 up 888.9% volatile
2 New Zealand 1.60 million t 2013 up 3,585.2% volatile
3 Netherlands (Kingdom of the) 1.30 million t 2013 down 11.1% volatile
4 Republic of Korea 871,082 t 2013 up 179.4% volatile
5 China, mainland 599,460 t 2013 up 384,169.0% volatile
6 Poland 542,058 t 2013 up 19,342.5% volatile
7 United Kingdom of Great Britain and Northern Ireland 533,659 t 2013 down 1.3% volatile
8 Germany 439,492 t 2013 down 15.3% rising
9 Spain 203,045 t 2013 up 114.1% volatile
10 Ireland 197,658 t 2013 up 122.3% volatile
11 Belgium 179,566 t 2013 up 47.9% rising
12 Saudi Arabia 136,193 t 2013 volatile
13 Japan 131,224 t 2013 up 3,227.2% volatile
14 T�rkiye 120,177 t 2013 volatile
15 Portugal 95,779 t 2013 up 46.2% volatile
16 France 77,862 t 2013 down 25.7% volatile
17 Belgium-Luxembourg 68,186 t 1999 down 21.7% volatile
18 China, Taiwan Province of 66,358 t 2013 up 1,787.3% volatile
19 Thailand 44,886 t 2013 volatile
20 Sweden 43,910 t 2013 down 37.7% volatile
21 Pakistan 42,299 t 2013 volatile
22 Australia 31,173 t 2013 down 74.3% volatile
23 Denmark 20,365 t 2013 up 2,257.1% volatile
24 Philippines 15,149 t 2013 volatile
25 El Salvador 11,083 t 2013 volatile
26 Malaysia 8,903 t 2013 down 36.0% volatile
27 Costa Rica 6,062 t 2013 down 13.0% volatile
28 Oman 3,840 t 2013 volatile
29 Nicaragua 3,074 t 2013 volatile
30 India 3,034 t 2013 down 63.3% volatile
31 Mexico 2,534 t 2013 up 98.3% volatile
32 Panama 2,096 t 2013 volatile
33 Colombia 1,504 t 2013 down 39.8% volatile
34 Luxembourg 1,241 t 2013 up 41.5% rising
35 Kuwait 1,101 t 2013 volatile
36 Czechia 962 t 2013 volatile
37 Lebanon 565 t 2013 up 1,214.0% volatile
38 United Arab Emirates 523 t 2013 up 371.2% volatile
39 Austria 303 t 2013 down 92.5% volatile
40 Rwanda 241 t 2013 volatile
41 Hungary 168 t 2013 volatile
42 Cuba 119 t 2013 up 230.6% volatile
42 Caribbean 119 t 2013 up 230.6% volatile
44 Finland 115 t 2013 down 97.9% volatile
45 Sri Lanka 99 t 2013 down 65.3% volatile
46 Romania 65 t 2013 up 1,525.0% volatile
47 Cabo Verde 37 t 2013 volatile
48 Namibia 33 t 2013 volatile
49 Morocco 20 t 2013 volatile
50 Bulgaria 15 t 2013 volatile
51 Canada 14 t 2013 down 97.3% volatile
52 Gambia 11 t 2013 volatile
53 Peru 8 t 2013 volatile
54 Zambia 1 t 2013 volatile
54 Bolivia (Plurinational State of) 1 t 2013 volatile
56 Albania 0 t 2013 volatile
56 Benin 0 t 2013 volatile
56 Burkina Faso 0 t 2013 volatile
56 Bangladesh 0 t 2013 volatile
56 Brazil 0 t 2013 down 100.0% volatile
56 Botswana 0 t 2013 volatile
56 Switzerland 0 t 2013 volatile
56 Chile 0 t 2013 volatile
56 Congo 0 t 2013 volatile
56 Algeria 0 t 2013 down 100.0% volatile
56 Ecuador 0 t 2013 volatile
56 Egypt 0 t 2013 volatile
56 Estonia 0 t 2013 volatile
56 Ghana 0 t 2013 volatile
56 Greece 0 t 2013 volatile
56 Honduras 0 t 2013 volatile
56 Croatia 0 t 2013 down 100.0% volatile
56 Indonesia 0 t 2013 volatile
56 Israel 0 t 2013 volatile
56 Italy 0 t 2013 down 100.0% volatile
56 Jordan 0 t 2013 volatile
56 Kenya 0 t 2013 volatile
56 Lithuania 0 t 2013 volatile
56 Latvia 0 t 2013 volatile
56 Madagascar 0 t 2013 volatile
56 North Macedonia 0 t 2013 volatile
56 Mali 0 t 2013 volatile
56 Mauritius 0 t 2013 volatile
56 Malawi 0 t 2013 volatile
56 Nigeria 0 t 2013 volatile
56 Nepal 0 t 2013 volatile
56 Slovakia 0 t 2013 volatile
56 Slovenia 0 t 2013 volatile
56 Togo 0 t 2013 down 100.0% volatile
56 Trinidad and Tobago 0 t 2013 volatile
56 Tunisia 0 t 2013 volatile
56 Zimbabwe 0 t 2013 volatile
56 Czechoslovakia 0 t 1992 volatile
56 China, Hong Kong SAR 0 t 2013 volatile
56 Iran (Islamic Republic of) 0 t 2013 down 100.0% volatile
56 Venezuela (Bolivarian Republic of) 0 t 2013 down 100.0% volatile
56 United Republic of Tanzania 0 t 2013 volatile
56 Brunei Darussalam 0 t 2013 down 100.0% 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
Palmkernel Cake — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
128 places, 6,392 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.