Statizoid

Palm kernels — Export 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
96
Highest
15,777 t
Thailand
Lowest
0 t
T�rkiye
Median
0 t
Years covered
53
1961–2013
Data points
6,305

What the numbers show

Palm kernels — Export Quantity is currently reported for 96 countries. The highest value is 15,777 t in Thailand; the lowest is 0 t in T�rkiye.

The median across all reporting countries is 0 t, and the mean is 592.1 t.

Over the past decade 10 countries rose and 34 fell. The largest increase was in Germany (up 4,100.0%), and the largest decrease in Viet Nam (down 100.0%).

Palm kernels — Export Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Thailand 15,777 t 2013 up 228.4% volatile
2 Costa Rica 13,020 t 2013 up 756.0% volatile
2 Melanesia 8,000 t 2013 up 19.4% volatile
3 Solomon Islands 8,000 t 2013 up 19.4% volatile
4 Nigeria 5,000 t 2013 down 21.9% volatile
4 Bolivia (Plurinational State of) 0 t 2013 — volatile
4 Iran (Islamic Republic of) 0 t 2013 — volatile
4 Venezuela (Bolivarian Republic of) 0 t 2013 — volatile
4 Viet Nam 0 t 2013 down 100.0% volatile
4 United Republic of Tanzania 0 t 2013 down 100.0% volatile
5 Malaysia 2,439 t 2013 up 150.2% volatile
6 Indonesia 2,008 t 2013 down 72.7% volatile
7 Ghana 1,956 t 2013 up 58.5% volatile
8 Benin 266 t 2013 down 74.3% volatile
9 Germany 126 t 2013 up 4,100.0% volatile
10 Greece 109 t 2013 down 54.8% volatile
11 United Kingdom of Great Britain and Northern Ireland 34 t 2013 up 112.5% volatile
12 France 18 t 2013 down 89.6% volatile
13 Colombia 15 t 2013 down 96.8% volatile
14 Belgium 14 t 2013 up 1,300.0% volatile
15 Spain 11 t 2013 down 82.8% volatile
16 Bulgaria 10 t 2013 — volatile
17 Brazil 8 t 2013 up 100.0% volatile
17 Canada 8 t 2013 — volatile
17 Poland 8 t 2013 — volatile
20 Italy 4 t 2013 — volatile
21 United Arab Emirates 3 t 2013 down 98.9% volatile
21 Honduras 3 t 2013 down 97.9% volatile
23 South Africa 2 t 2013 unchanged volatile
24 Cameroon 1 t 2013 — volatile
24 Ecuador 1 t 2013 — volatile
24 Mexico 1 t 2013 down 96.0% volatile
27 Angola 0 t 2013 down 100.0% volatile
27 Albania 0 t 2013 — volatile
27 Australia 0 t 2013 down 100.0% volatile
27 Austria 0 t 2013 — volatile
27 Azerbaijan 0 t 2013 — volatile
27 Bangladesh 0 t 2013 — volatile
27 Belize 0 t 2013 down 100.0% volatile
27 Botswana 0 t 2013 — volatile
27 Central African Republic 0 t 2013 — volatile
27 Congo 0 t 2013 down 100.0% volatile
27 Czechia 0 t 2013 down 100.0% volatile
27 Denmark 0 t 2013 down 100.0% volatile
27 Egypt 0 t 2013 — volatile
27 Ethiopia 0 t 2013 — volatile
27 Gabon 0 t 2013 — volatile
27 Guinea 0 t 2013 — volatile
27 Gambia 0 t 2013 — volatile
27 Guinea-Bissau 0 t 2013 — volatile
27 Guatemala 0 t 2013 down 100.0% volatile
27 Hungary 0 t 2013 — volatile
27 India 0 t 2013 down 100.0% volatile
27 Ireland 0 t 2013 down 100.0% volatile
27 Kenya 0 t 2013 down 100.0% volatile
27 Cambodia 0 t 2013 — volatile
27 Liberia 0 t 2013 — volatile
27 Sri Lanka 0 t 2013 — volatile
27 Latvia 0 t 2013 — volatile
27 Morocco 0 t 2013 down 100.0% volatile
27 Madagascar 0 t 2013 — volatile
27 Mauritius 0 t 2013 down 100.0% volatile
27 Malawi 0 t 2013 — volatile
27 Niger 0 t 2013 — volatile
27 Nicaragua 0 t 2013 down 100.0% volatile
27 Nepal 0 t 2013 — volatile
27 Panama 0 t 2013 — volatile
27 Peru 0 t 2013 — volatile
27 Philippines 0 t 2013 down 100.0% volatile
27 Portugal 0 t 2013 — volatile
27 Paraguay 0 t 2013 down 100.0% volatile
27 Romania 0 t 2013 — volatile
27 Saudi Arabia 0 t 2013 — volatile
27 Senegal 0 t 2013 — volatile
27 Sierra Leone 0 t 2013 — volatile
27 El Salvador 0 t 2013 down 100.0% volatile
27 Serbia 0 t 2013 — volatile
27 Sao Tome and Principe 0 t 2013 — volatile
27 Suriname 0 t 2013 — volatile
27 Slovakia 0 t 2013 — volatile
27 Slovenia 0 t 2013 — volatile
27 Eswatini 0 t 2013 — volatile
27 Togo 0 t 2013 down 100.0% volatile
27 Uganda 0 t 2013 — volatile
27 Ukraine 0 t 2013 — volatile
27 Zambia 0 t 2013 down 100.0% volatile
27 Zimbabwe 0 t 2013 — volatile
27 Sudan (former) 0 t 2011 — volatile
27 China, Hong Kong SAR 0 t 2013 — volatile
27 Republic of Korea 0 t 2013 — volatile
27 Belgium-Luxembourg 0 t 1999 — volatile
27 Australia and New Zealand 0 t 2013 down 100.0% volatile
27 China, mainland 0 t 2013 down 100.0% volatile
27 Netherlands (Kingdom of the) 0 t 2013 down 100.0% volatile
27 C�te d'Ivoire 0 t 2013 down 100.0% volatile
27 T�rkiye 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.

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Palm kernels — Export Quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/palm-kernels-export-quantity/

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About this data

Indicator
Palm kernels — Export Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
125 places, 6,305 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.