Statizoid

Palm kernels — 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
111
Highest
23,416 t
Malaysia
Lowest
0 t
Yugoslav SFR
Median
0 t
Years covered
53
1961–2013
Data points
7,096

What the numbers show

Palm kernels — Import Quantity is currently reported for 111 countries. The highest value is 23,416 t in Malaysia; the lowest is 0 t in Yugoslav SFR.

The median across all reporting countries is 0 t, and the mean is 623.13 t.

Over the past decade 13 countries rose and 43 fell. The largest increase was in Costa Rica (up 118,300.0%), and the largest decrease in Angola (down 100.0%).

Palm kernels — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Malaysia 23,416 t 2013 down 2.5% volatile
2 Costa Rica 22,496 t 2013 up 118,300.0% volatile
3 Nigeria 15,000 t 2013 down 18.0% volatile
4 Italy 1,292 t 2013 up 3,300.0% volatile
5 India 1,182 t 2013 — volatile
6 Benin 1,158 t 2013 up 115.6% volatile
7 Thailand 961 t 2013 up 47,950.0% volatile
8 Hungary 408 t 2013 — volatile
9 Cameroon 395 t 2013 up 287.3% volatile
10 Indonesia 386 t 2013 down 45.8% volatile
11 Panama 375 t 2013 — volatile
12 Liberia 342 t 2013 — volatile
13 Belgium-Luxembourg 306 t 1999 up 229.0% volatile
14 Gabon 260 t 2013 — volatile
15 Netherlands (Kingdom of the) 169 t 2013 down 88.6% volatile
16 Ecuador 163 t 2013 up 2,616.7% volatile
16 Philippines 163 t 2013 up 1,711.1% volatile
18 Solomon Islands 137 t 2013 up 13,600.0% volatile
18 Melanesia 137 t 2013 up 93.0% volatile
20 Mexico 70 t 2013 up 483.3% volatile
21 Canada 68 t 2013 up 54.5% volatile
22 Belgium 65 t 2013 down 94.5% volatile
23 Greece 46 t 2013 down 65.2% volatile
24 Bulgaria 45 t 2013 up 4,400.0% volatile
25 United Kingdom of Great Britain and Northern Ireland 39 t 2013 down 99.8% volatile
26 France 20 t 2013 down 69.2% volatile
27 Germany 13 t 2013 down 27.8% volatile
27 Guatemala 13 t 2013 down 97.7% volatile
29 Ghana 9 t 2013 — volatile
29 Nicaragua 9 t 2013 down 80.0% volatile
31 Colombia 7 t 2013 down 99.7% volatile
31 Portugal 7 t 2013 down 85.1% volatile
33 Romania 3 t 2013 — volatile
34 Ireland 2 t 2013 down 92.3% volatile
35 United Arab Emirates 1 t 2013 down 87.5% volatile
35 Luxembourg 1 t 2013 down 80.0% volatile
35 Namibia 1 t 2013 — volatile
35 Slovenia 1 t 2013 — volatile
35 Bolivia (Plurinational State of) 1 t 2013 — volatile
40 Angola 0 t 2013 down 100.0% volatile
40 Albania 0 t 2013 — volatile
40 Argentina 0 t 2013 — volatile
40 Australia 0 t 2013 down 100.0% volatile
40 Austria 0 t 2013 down 100.0% volatile
40 Bangladesh 0 t 2013 — volatile
40 Brazil 0 t 2013 down 100.0% volatile
40 Botswana 0 t 2013 — volatile
40 Switzerland 0 t 2013 — volatile
40 Czechia 0 t 2013 down 100.0% volatile
40 Denmark 0 t 2013 — volatile
40 Algeria 0 t 2013 — volatile
40 Egypt 0 t 2013 — volatile
40 Spain 0 t 2013 down 100.0% volatile
40 Estonia 0 t 2013 — volatile
40 Ethiopia 0 t 2013 — volatile
40 Finland 0 t 2013 — volatile
40 Fiji 0 t 2013 down 100.0% volatile
40 Guinea 0 t 2013 — volatile
40 Gambia 0 t 2013 — volatile
40 Honduras 0 t 2013 down 100.0% volatile
40 Israel 0 t 2013 — volatile
40 Jordan 0 t 2013 — volatile
40 Japan 0 t 2013 — volatile
40 Kenya 0 t 2013 down 100.0% volatile
40 Saint Lucia 0 t 2013 — volatile
40 Sri Lanka 0 t 2013 down 100.0% volatile
40 Latvia 0 t 2013 down 100.0% volatile
40 Morocco 0 t 2013 — volatile
40 Mali 0 t 2013 — volatile
40 Malta 0 t 2013 — volatile
40 Mongolia 0 t 2013 — volatile
40 Mauritius 0 t 2013 down 100.0% volatile
40 Malawi 0 t 2013 — volatile
40 New Caledonia 0 t 2013 down 100.0% volatile
40 Niger 0 t 2013 down 100.0% volatile
40 Norway 0 t 2013 — volatile
40 Nepal 0 t 2013 down 100.0% volatile
40 New Zealand 0 t 2013 — volatile
40 Oman 0 t 2013 — volatile
40 Pakistan 0 t 2013 down 100.0% volatile
40 Peru 0 t 2013 down 100.0% volatile
40 Poland 0 t 2013 — volatile
40 Paraguay 0 t 2013 — volatile
40 Saudi Arabia 0 t 2013 down 100.0% volatile
40 Senegal 0 t 2013 — volatile
40 El Salvador 0 t 2013 down 100.0% volatile
40 Suriname 0 t 2013 — volatile
40 Slovakia 0 t 2013 — volatile
40 Sweden 0 t 2013 — volatile
40 Eswatini 0 t 2013 down 100.0% volatile
40 Togo 0 t 2013 down 100.0% volatile
40 Trinidad and Tobago 0 t 2013 — volatile
40 Yemen 0 t 2013 down 100.0% volatile
40 Zambia 0 t 2013 — volatile
40 Zimbabwe 0 t 2013 — volatile
40 USSR 0 t 1991 — volatile
40 Czechoslovakia 0 t 1992 — volatile
40 Sudan (former) 0 t 2011 — volatile
40 Caribbean 0 t 2013 — volatile
40 China, Hong Kong SAR 0 t 2013 down 100.0% volatile
40 Iran (Islamic Republic of) 0 t 2013 — volatile
40 Republic of Korea 0 t 2013 — volatile
40 Venezuela (Bolivarian Republic of) 0 t 2013 down 100.0% volatile
40 Australia and New Zealand 0 t 2013 down 100.0% volatile
40 China, mainland 0 t 2013 down 100.0% volatile
40 United Republic of Tanzania 0 t 2013 — volatile
40 Brunei Darussalam 0 t 2013 down 100.0% volatile
40 China, Taiwan Province of 0 t 2013 — volatile
40 C�te d'Ivoire 0 t 2013 — volatile
40 T�rkiye 0 t 2013 — volatile
40 Yugoslav SFR 0 t 1991 — 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
Palm kernels — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
141 places, 7,096 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.