Coconut 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
173
Highest
24 1000 t
India
Lowest
-53 1000 t
Indonesia
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,655

What the numbers show

Coconut Oil — Stock Variation is currently reported for 173 countries. The highest value is 24 1000 t in India; the lowest is -53 1000 t in Indonesia.

The median across all reporting countries is 0 1000 t, and the mean is -0.185 1000 t.

Over the past decade 16 countries rose and 15 fell. The largest increase was in India (up 2,500.0%), and the largest decrease in United Kingdom of Great Britain and Northern Ireland (down 200.0%).

Coconut Oil — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 India 24 1000 t 2023 up 2,500.0% volatile
2 Sri Lanka 11 1000 t 2023 volatile
3 Papua New Guinea 4 1000 t 2023 unchanged volatile
4 Belgium 3 1000 t 2023 down 50.0% volatile
4 Brazil 3 1000 t 2023 up 400.0% volatile
4 Melanesia 3 1000 t 2023 down 25.0% volatile
7 Pakistan 2 1000 t 2023 up 100.0% volatile
7 Samoa 2 1000 t 2023 volatile
7 Polynesia 2 1000 t 2023 volatile
10 Ireland 1 1000 t 2023 volatile
10 Kiribati 1 1000 t 2023 volatile
10 Saudi Arabia 1 1000 t 2023 volatile
10 Sweden 1 1000 t 2023 volatile
10 Uzbekistan 1 1000 t 2023 volatile
10 Micronesia 1 1000 t 2023 volatile
10 Iran (Islamic Republic of) 1 1000 t 2023 up 150.0% volatile
10 Côte d'Ivoire 1 1000 t 2023 volatile
18 Angola 0 1000 t 2023 flat
18 Albania 0 1000 t 2023 flat
18 United Arab Emirates 0 1000 t 2023 down 100.0% volatile
18 Argentina 0 1000 t 2023 volatile
18 Armenia 0 1000 t 2023 flat
18 Antigua and Barbuda 0 1000 t 2023 flat
18 Australia 0 1000 t 2023 flat
18 Austria 0 1000 t 2023 down 100.0% volatile
18 Azerbaijan 0 1000 t 2023 flat
18 Burkina Faso 0 1000 t 2023 volatile
18 Bangladesh 0 1000 t 2023 down 100.0% volatile
18 Bulgaria 0 1000 t 2023 flat
18 Bahrain 0 1000 t 2023 flat
18 Bahamas 0 1000 t 2023 flat
18 Bosnia and Herzegovina 0 1000 t 2023 flat
18 Belarus 0 1000 t 2023 flat
18 Belize 0 1000 t 2023 flat
18 Barbados 0 1000 t 2023 flat
18 Bhutan 0 1000 t 2023 flat
18 Botswana 0 1000 t 2023 flat
18 Canada 0 1000 t 2023 volatile
18 Switzerland 0 1000 t 2023 flat
18 Chile 0 1000 t 2023 flat
18 China 0 1000 t 2023 flat
18 Cameroon 0 1000 t 2023 flat
18 Colombia 0 1000 t 2023 flat
18 Comoros 0 1000 t 2023 flat
18 Costa Rica 0 1000 t 2023 flat
18 Cuba 0 1000 t 2019 flat
18 Cyprus 0 1000 t 2023 flat
18 Czechia 0 1000 t 2023 flat
18 Djibouti 0 1000 t 2023 flat
18 Denmark 0 1000 t 2023 flat
18 Dominican Republic 0 1000 t 2023 flat
18 Algeria 0 1000 t 2023 up 100.0% volatile
18 Ecuador 0 1000 t 2023 flat
18 Egypt 0 1000 t 2023 up 100.0% volatile
18 Spain 0 1000 t 2023 flat
18 Estonia 0 1000 t 2023 flat
18 Ethiopia 0 1000 t 2023 flat
18 Finland 0 1000 t 2023 flat
18 Fiji 0 1000 t 2023 down 100.0% volatile
18 France 0 1000 t 2023 volatile
18 Gabon 0 1000 t 2023 flat
18 Georgia 0 1000 t 2023 flat
18 Ghana 0 1000 t 2023 down 100.0% flat
18 Guinea 0 1000 t 2023 flat
18 Gambia 0 1000 t 2023 flat
18 Guinea-Bissau 0 1000 t 2023 flat
18 Greece 0 1000 t 2023 flat
18 Grenada 0 1000 t 2023 flat
18 Guatemala 0 1000 t 2023 flat
18 Guyana 0 1000 t 2023 flat
18 Honduras 0 1000 t 2023 flat
18 Croatia 0 1000 t 2023 flat
18 Hungary 0 1000 t 2023 flat
18 Iraq 0 1000 t 2023 volatile
18 Iceland 0 1000 t 2023 flat
18 Israel 0 1000 t 2023 flat
18 Italy 0 1000 t 2023 volatile
18 Jamaica 0 1000 t 2023 up 100.0% volatile
18 Jordan 0 1000 t 2023 flat
18 Kazakhstan 0 1000 t 2023 flat
18 Kenya 0 1000 t 2023 up 100.0% volatile
18 Kyrgyzstan 0 1000 t 2023 flat
18 Cambodia 0 1000 t 2023 down 100.0% volatile
18 Saint Kitts and Nevis 0 1000 t 2023 flat
18 Kuwait 0 1000 t 2023 flat
18 Lebanon 0 1000 t 2023 flat
18 Liberia 0 1000 t 2023 flat
18 Libya 0 1000 t 2023 flat
18 Saint Lucia 0 1000 t 2023 flat
18 Lithuania 0 1000 t 2023 flat
18 Luxembourg 0 1000 t 2023 flat
18 Latvia 0 1000 t 2023 flat
18 Morocco 0 1000 t 2023 volatile
18 Madagascar 0 1000 t 2023 flat
18 Maldives 0 1000 t 2023 flat
18 North Macedonia 0 1000 t 2023 flat
18 Malta 0 1000 t 2023 flat
18 Myanmar 0 1000 t 2023 flat
18 Montenegro 0 1000 t 2023 flat
18 Mongolia 0 1000 t 2023 flat
18 Mozambique 0 1000 t 2023 volatile
18 Mauritania 0 1000 t 2023 flat
18 Mauritius 0 1000 t 2023 flat
18 Malawi 0 1000 t 2023 volatile
18 Namibia 0 1000 t 2023 flat
18 New Caledonia 0 1000 t 2023 flat
18 Niger 0 1000 t 2023 flat
18 Nigeria 0 1000 t 2023 up 100.0% volatile
18 Nicaragua 0 1000 t 2023 flat
18 Norway 0 1000 t 2023 flat
18 Nepal 0 1000 t 2023 flat
18 Nauru 0 1000 t 2023 flat
18 New Zealand 0 1000 t 2023 flat
18 Oman 0 1000 t 2023 flat
18 Panama 0 1000 t 2023 flat
18 Peru 0 1000 t 2023 flat
18 Portugal 0 1000 t 2023 flat
18 Paraguay 0 1000 t 2023 flat
18 French Polynesia 0 1000 t 2023 volatile
18 Qatar 0 1000 t 2023 flat
18 Romania 0 1000 t 2023 flat
18 Rwanda 0 1000 t 2023 flat
18 Senegal 0 1000 t 2023 flat
18 El Salvador 0 1000 t 2023 volatile
18 Serbia 0 1000 t 2023 flat
18 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
18 Suriname 0 1000 t 2023 flat
18 Slovakia 0 1000 t 2023 flat
18 Slovenia 0 1000 t 2023 flat
18 Eswatini 0 1000 t 2023 flat
18 Seychelles 0 1000 t 2023 flat
18 Thailand 0 1000 t 2023 up 100.0% volatile
18 Tonga 0 1000 t 2023 flat
18 Trinidad and Tobago 0 1000 t 2023 flat
18 Tunisia 0 1000 t 2023 down 100.0% flat
18 Tuvalu 0 1000 t 2023 flat
18 Uganda 0 1000 t 2023 flat
18 Ukraine 0 1000 t 2023 flat
18 Uruguay 0 1000 t 2023 flat
18 Saint Vincent and the Grenadines 0 1000 t 2023 flat
18 Vanuatu 0 1000 t 2023 up 100.0% volatile
18 Yemen 0 1000 t 2023 flat
18 Zambia 0 1000 t 2023 flat
18 Zimbabwe 0 1000 t 2023 flat
18 Timor-Leste 0 1000 t 2023 volatile
18 Cabo Verde 0 1000 t 2023 flat
18 Democratic Republic of the Congo 0 1000 t 2023 flat
18 Caribbean 0 1000 t 2023 up 100.0% volatile
18 Bolivia (Plurinational State of) 0 1000 t 2023 flat
18 China, Hong Kong SAR 0 1000 t 2023 flat
18 Republic of Korea 0 1000 t 2023 volatile
18 Republic of Moldova 0 1000 t 2023 flat
18 Syrian Arab Republic 0 1000 t 2023 flat
18 Venezuela (Bolivarian Republic of) 0 1000 t 2023 up 100.0% volatile
18 Türkiye 0 1000 t 2023 flat
18 Australia and New Zealand 0 1000 t 2023 flat
18 China, mainland 0 1000 t 2023 flat
18 United Republic of Tanzania 0 1000 t 2023 down 100.0% flat
18 China, Taiwan Province of 0 1000 t 2023 flat
18 Democratic People's Republic of Korea 0 1000 t 2018 flat
18 Micronesia (Federated States of) 0 1000 t 2023 flat
18 China, Macao SAR 0 1000 t 2023 flat
163 Germany -1 1000 t 2023 volatile
163 Poland -1 1000 t 2023 up 75.0% volatile
163 Solomon Islands -1 1000 t 2023 volatile
163 Russian Federation -1 1000 t 2023 volatile
163 Viet Nam -1 1000 t 2023 down 133.3% volatile
163 United Kingdom of Great Britain and Northern Ireland -1 1000 t 2023 down 200.0% volatile
169 Mexico -2 1000 t 2023 down 100.0% volatile
170 Malaysia -10 1000 t 2023 up 66.7% volatile
171 Netherlands (Kingdom of the) -11 1000 t 2023 volatile
172 Philippines -12 1000 t 2023 up 84.0% volatile
173 Indonesia -53 1000 t 2023 down 96.3% 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
Coconut 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
204 places, 2,655 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.