Palmkernel Oil — Stock Variation 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
165
Highest
15 1000 t
Belgium
Lowest
-25 1000 t
Colombia
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,372

What the numbers show

Palmkernel Oil — Stock Variation is currently reported for 165 countries. The highest value is 15 1000 t in Belgium; the lowest is -25 1000 t in Colombia.

The median across all reporting countries is 0 1000 t, and the mean is -0.2182 1000 t.

Over the past decade 9 countries rose and 13 fell. The largest increase was in Democratic Republic of the Congo (up 400.0%), and the largest decrease in Guatemala (down 533.3%).

Palmkernel Oil — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Belgium 15 1000 t 2023 volatile
2 Thailand 5 1000 t 2023 up 150.0% volatile
2 Melanesia 5 1000 t 2023 volatile
4 Malaysia 4 1000 t 2023 up 102.3% volatile
5 Ecuador 3 1000 t 2023 up 142.9% volatile
5 Solomon Islands 3 1000 t 2023 volatile
5 Democratic Republic of the Congo 3 1000 t 2023 up 400.0% volatile
8 Spain 2 1000 t 2023 volatile
8 Cambodia 2 1000 t 2023 volatile
8 Papua New Guinea 2 1000 t 2023 volatile
11 Angola 1 1000 t 2023 volatile
11 Cameroon 1 1000 t 2023 unchanged volatile
11 Philippines 1 1000 t 2023 volatile
11 Sierra Leone 1 1000 t 2023 up 133.3% volatile
15 Albania 0 1000 t 2023 flat
15 United Arab Emirates 0 1000 t 2023 up 100.0% volatile
15 Argentina 0 1000 t 2023 flat
15 Armenia 0 1000 t 2023 flat
15 Antigua and Barbuda 0 1000 t 2023 flat
15 Australia 0 1000 t 2023 flat
15 Austria 0 1000 t 2023 flat
15 Azerbaijan 0 1000 t 2023 flat
15 Burkina Faso 0 1000 t 2023 volatile
15 Bangladesh 0 1000 t 2023 flat
15 Bulgaria 0 1000 t 2023 flat
15 Bahrain 0 1000 t 2023 volatile
15 Bahamas 0 1000 t 2023 flat
15 Bosnia and Herzegovina 0 1000 t 2023 flat
15 Belarus 0 1000 t 2023 flat
15 Belize 0 1000 t 2023 flat
15 Brazil 0 1000 t 2023 flat
15 Barbados 0 1000 t 2023 flat
15 Botswana 0 1000 t 2023 flat
15 Canada 0 1000 t 2023 volatile
15 Switzerland 0 1000 t 2023 flat
15 Chile 0 1000 t 2023 flat
15 China 0 1000 t 2023 down 100.0% volatile
15 Congo 0 1000 t 2023 flat
15 Costa Rica 0 1000 t 2023 volatile
15 Cuba 0 1000 t 2019 flat
15 Cyprus 0 1000 t 2023 flat
15 Czechia 0 1000 t 2023 flat
15 Germany 0 1000 t 2023 volatile
15 Djibouti 0 1000 t 2023 flat
15 Denmark 0 1000 t 2023 flat
15 Dominican Republic 0 1000 t 2023 flat
15 Algeria 0 1000 t 2023 flat
15 Egypt 0 1000 t 2023 flat
15 Estonia 0 1000 t 2023 flat
15 Ethiopia 0 1000 t 2023 flat
15 Finland 0 1000 t 2023 flat
15 Fiji 0 1000 t 2023 flat
15 Gabon 0 1000 t 2023 flat
15 Georgia 0 1000 t 2023 flat
15 Ghana 0 1000 t 2023 volatile
15 Guinea 0 1000 t 2023 volatile
15 Gambia 0 1000 t 2021 flat
15 Guinea-Bissau 0 1000 t 2023 flat
15 Greece 0 1000 t 2023 flat
15 Grenada 0 1000 t 2023 flat
15 Guyana 0 1000 t 2023 flat
15 Croatia 0 1000 t 2023 flat
15 Haiti 0 1000 t 2023 flat
15 Hungary 0 1000 t 2023 flat
15 India 0 1000 t 2023 flat
15 Ireland 0 1000 t 2023 volatile
15 Iraq 0 1000 t 2023 flat
15 Iceland 0 1000 t 2023 flat
15 Israel 0 1000 t 2023 flat
15 Italy 0 1000 t 2023 volatile
15 Jamaica 0 1000 t 2023 flat
15 Jordan 0 1000 t 2023 volatile
15 Kazakhstan 0 1000 t 2023 flat
15 Kenya 0 1000 t 2023 down 100.0% volatile
15 Kyrgyzstan 0 1000 t 2021 flat
15 Kiribati 0 1000 t 2021 flat
15 Saint Kitts and Nevis 0 1000 t 2021 flat
15 Kuwait 0 1000 t 2023 flat
15 Lebanon 0 1000 t 2023 flat
15 Liberia 0 1000 t 2023 volatile
15 Libya 0 1000 t 2020 flat
15 Saint Lucia 0 1000 t 2023 flat
15 Sri Lanka 0 1000 t 2023 down 100.0% volatile
15 Lithuania 0 1000 t 2023 flat
15 Luxembourg 0 1000 t 2023 flat
15 Latvia 0 1000 t 2023 flat
15 Morocco 0 1000 t 2023 flat
15 Madagascar 0 1000 t 2023 flat
15 Mexico 0 1000 t 2023 flat
15 North Macedonia 0 1000 t 2023 flat
15 Malta 0 1000 t 2023 flat
15 Myanmar 0 1000 t 2023 volatile
15 Montenegro 0 1000 t 2023 flat
15 Mongolia 0 1000 t 2023 flat
15 Mozambique 0 1000 t 2023 flat
15 Mauritania 0 1000 t 2023 volatile
15 Mauritius 0 1000 t 2023 flat
15 Malawi 0 1000 t 2023 flat
15 Namibia 0 1000 t 2023 volatile
15 New Caledonia 0 1000 t 2023 flat
15 Niger 0 1000 t 2023 flat
15 Nigeria 0 1000 t 2023 up 100.0% volatile
15 Nicaragua 0 1000 t 2023 flat
15 Norway 0 1000 t 2023 flat
15 Nepal 0 1000 t 2023 flat
15 New Zealand 0 1000 t 2023 flat
15 Oman 0 1000 t 2023 flat
15 Pakistan 0 1000 t 2023 down 100.0% volatile
15 Panama 0 1000 t 2023 flat
15 Peru 0 1000 t 2023 down 100.0% volatile
15 Poland 0 1000 t 2023 down 100.0% volatile
15 Portugal 0 1000 t 2023 volatile
15 Paraguay 0 1000 t 2023 down 100.0% volatile
15 French Polynesia 0 1000 t 2023 flat
15 Qatar 0 1000 t 2023 flat
15 Romania 0 1000 t 2023 flat
15 Rwanda 0 1000 t 2023 flat
15 Senegal 0 1000 t 2023 flat
15 El Salvador 0 1000 t 2023 flat
15 Serbia 0 1000 t 2023 flat
15 Sao Tome and Principe 0 1000 t 2023 flat
15 Suriname 0 1000 t 2023 flat
15 Slovakia 0 1000 t 2023 flat
15 Slovenia 0 1000 t 2023 flat
15 Eswatini 0 1000 t 2023 flat
15 Seychelles 0 1000 t 2023 flat
15 Turkmenistan 0 1000 t 2023 flat
15 Trinidad and Tobago 0 1000 t 2023 flat
15 Tunisia 0 1000 t 2023 flat
15 Uganda 0 1000 t 2023 flat
15 Uruguay 0 1000 t 2023 flat
15 Uzbekistan 0 1000 t 2023 flat
15 Saint Vincent and the Grenadines 0 1000 t 2021 flat
15 Yemen 0 1000 t 2023 flat
15 Zambia 0 1000 t 2023 volatile
15 Zimbabwe 0 1000 t 2023 flat
15 Micronesia 0 1000 t 2021 flat
15 Cabo Verde 0 1000 t 2023 flat
15 Polynesia 0 1000 t 2023 flat
15 Caribbean 0 1000 t 2023 flat
15 Bolivia (Plurinational State of) 0 1000 t 2023 flat
15 China, Hong Kong SAR 0 1000 t 2023 flat
15 Iran (Islamic Republic of) 0 1000 t 2023 down 100.0% volatile
15 Republic of Korea 0 1000 t 2023 up 100.0% flat
15 Republic of Moldova 0 1000 t 2023 flat
15 Russian Federation 0 1000 t 2023 up 100.0% volatile
15 Syrian Arab Republic 0 1000 t 2023 flat
15 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
15 Türkiye 0 1000 t 2023 volatile
15 Australia and New Zealand 0 1000 t 2023 flat
15 China, mainland 0 1000 t 2023 down 100.0% volatile
15 Côte d'Ivoire 0 1000 t 2023 volatile
15 United Republic of Tanzania 0 1000 t 2023 down 100.0% flat
15 China, Taiwan Province of 0 1000 t 2023 flat
15 Netherlands (Kingdom of the) 0 1000 t 2023 volatile
15 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 volatile
15 China, Macao SAR 0 1000 t 2023 flat
158 Ukraine -1 1000 t 2023 volatile
159 France -2 1000 t 2023 volatile
160 Honduras -3 1000 t 2023 volatile
160 Sweden -3 1000 t 2023 volatile
162 Guatemala -13 1000 t 2023 down 533.3% volatile
163 Indonesia -15 1000 t 2023 down 126.8% volatile
164 Saudi Arabia -22 1000 t 2023 down 466.7% flat
165 Colombia -25 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.

About this data

Indicator
Palmkernel Oil — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
196 places, 2,372 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.