Palmkernel Oil — Other uses (non-food) by country

A 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
83
Highest
1,136 1000 t
Indonesia
Lowest
0 1000 t
China, Taiwan Province of
Median
3 1000 t
Years covered
14
2010–2023
Data points
1,510

What the numbers show

Palmkernel Oil — Other uses (non-food) is currently reported for 83 countries. The highest value is 1,136 1000 t in Indonesia; the lowest is 0 1000 t in China, Taiwan Province of.

The median across all reporting countries is 3 1000 t, and the mean is 59.08 1000 t.

Over the past decade 29 countries rose and 15 fell. The largest increase was in Czechia (up 1,500.0%), and the largest decrease in Guatemala (down 100.0%).

Palmkernel Oil — Other uses: full country ranking

#Country LatestYear 10-year changeTrend
1 Indonesia 1,136 1000 t 2023 up 260.6% volatile
2 Malaysia 920 1000 t 2023 down 41.4% falling
3 China 609 1000 t 2023 up 10.9% rising
3 China, mainland 609 1000 t 2023 up 10.9% rising
5 Brazil 297 1000 t 2023 unchanged rising
6 Germany 282 1000 t 2023 down 21.7% falling
7 Thailand 193 1000 t 2023 up 53.2% rising
8 Netherlands (Kingdom of the) 121 1000 t 2023 up 3.4% rising
9 India 120 1000 t 2023 down 61.2% falling
10 Mexico 104 1000 t 2023 up 31.6% rising
11 Russian Federation 83 1000 t 2023 up 50.9% rising
12 Spain 59 1000 t 2023 up 68.6% rising
13 Ghana 43 1000 t 2023 up 48.3% rising
14 Sweden 34 1000 t 2023 up 36.0% rising
15 Italy 30 1000 t 2023 up 30.4% rising
16 Colombia 26 1000 t 2023 up 23.8% volatile
17 Cameroon 25 1000 t 2023 up 19.0% rising
18 Greece 18 1000 t 2023 down 35.7% falling
19 Czechia 16 1000 t 2023 up 1,500.0% volatile
20 Argentina 15 1000 t 2023 up 114.3% rising
21 Canada 13 1000 t 2023 up 160.0% rising
21 Ecuador 13 1000 t 2023 up 225.0% rising
23 Honduras 12 1000 t 2023 up 71.4% rising
24 Dominican Republic 11 1000 t 2023 up 83.3% rising
26 Australia 10 1000 t 2023 up 25.0% rising
26 Bangladesh 10 1000 t 2023 up 25.0% falling
26 Australia and New Zealand 10 1000 t 2023 up 25.0% rising
26 United Kingdom of Great Britain and Northern Ireland 10 1000 t 2023 down 52.4% falling
30 Austria 8 1000 t 2023 up 700.0% volatile
31 Morocco 6 1000 t 2023 rising
32 Costa Rica 5 1000 t 2023 volatile
32 Nicaragua 5 1000 t 2023 down 16.7% volatile
32 Tunisia 5 1000 t 2023 up 66.7% rising
32 Venezuela (Bolivarian Republic of) 5 1000 t 2023 up 150.0% volatile
36 Chile 4 1000 t 2023 up 100.0% volatile
36 France 4 1000 t 2023 down 60.0% volatile
36 Hungary 4 1000 t 2023 up 300.0% volatile
36 Senegal 4 1000 t 2023 down 20.0% flat
40 Angola 3 1000 t 2023 up 50.0% rising
40 Bulgaria 3 1000 t 2023 volatile
40 Ukraine 3 1000 t 2023 down 78.6% volatile
40 Syrian Arab Republic 3 1000 t 2023 unchanged falling
44 Kazakhstan 2 1000 t 2023 down 33.3% falling
44 Slovakia 2 1000 t 2023 volatile
44 Uruguay 2 1000 t 2023 up 100.0% rising
47 Bahrain 1 1000 t 2023 flat
47 Cuba 1 1000 t 2019 volatile
47 Algeria 1 1000 t 2023 volatile
47 Kuwait 1 1000 t 2023 unchanged volatile
47 Lithuania 1 1000 t 2023 volatile
47 Madagascar 1 1000 t 2023 unchanged flat
47 Serbia 1 1000 t 2023 volatile
54 Albania 0 1000 t 2023 flat
54 Antigua and Barbuda 0 1000 t 2023 flat
54 Bosnia and Herzegovina 0 1000 t 2023 flat
54 Belarus 0 1000 t 2022 volatile
54 Botswana 0 1000 t 2023 flat
54 Cyprus 0 1000 t 2023 flat
54 Denmark 0 1000 t 2023 volatile
54 Estonia 0 1000 t 2022 flat
54 Finland 0 1000 t 2023 flat
54 Georgia 0 1000 t 2023 flat
54 Guatemala 0 1000 t 2023 down 100.0% volatile
54 Guyana 0 1000 t 2023 flat
54 Croatia 0 1000 t 2023 volatile
54 Iceland 0 1000 t 2023 flat
54 Lebanon 0 1000 t 2023 flat
54 Libya 0 1000 t 2019 down 100.0% volatile
54 Latvia 0 1000 t 2023 flat
54 North Macedonia 0 1000 t 2022 volatile
54 Malta 0 1000 t 2023 flat
54 Norway 0 1000 t 2023 flat
54 Oman 0 1000 t 2023 down 100.0% volatile
54 Qatar 0 1000 t 2023 flat
54 Romania 0 1000 t 2023 volatile
54 El Salvador 0 1000 t 2023 down 100.0% volatile
54 Suriname 0 1000 t 2023 flat
54 Slovenia 0 1000 t 2023 flat
54 Eswatini 0 1000 t 2023 flat
54 Turkmenistan 0 1000 t 2018 flat
54 Uzbekistan 0 1000 t 2023 down 100.0% volatile
54 China, Hong Kong SAR 0 1000 t 2018 flat
54 China, Taiwan Province of 0 1000 t 2023 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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Palmkernel Oil — Other uses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/palmkernel-oil-other-uses-non-food/

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About this data

Indicator
Palmkernel Oil — Other uses (non-food)
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
115 places, 1,510 data points, 2010–2023
Last refreshed

A 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 capita 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.