Cottonseed 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
161
Highest
24 1000 t
India
Lowest
-30 1000 t
China, mainland
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,455

What the numbers show

Cottonseed Oil — Stock Variation is currently reported for 161 countries. The highest value is 24 1000 t in India; the lowest is -30 1000 t in China, mainland.

The median across all reporting countries is 0 1000 t, and the mean is -0.0248 1000 t.

Over the past decade 10 countries rose and 9 fell. The largest increase was in Türkiye (up 350.0%), and the largest decrease in China (down 127.0%).

Cottonseed Oil — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 India 24 1000 t 2023 up 140.0% volatile
2 Brazil 13 1000 t 2023 up 125.5% volatile
3 Türkiye 10 1000 t 2023 up 350.0% volatile
4 Uzbekistan 8 1000 t 2023 volatile
5 Saudi Arabia 5 1000 t 2023 volatile
6 Afghanistan 2 1000 t 2023 volatile
6 Cameroon 2 1000 t 2023 volatile
6 Côte d'Ivoire 2 1000 t 2023 down 33.3% volatile
9 Bulgaria 1 1000 t 2023 volatile
9 Ethiopia 1 1000 t 2023 volatile
11 Angola 0 1000 t 2023 flat
11 Albania 0 1000 t 2023 flat
11 United Arab Emirates 0 1000 t 2023 flat
11 Argentina 0 1000 t 2023 up 100.0% volatile
11 Armenia 0 1000 t 2023 flat
11 Antigua and Barbuda 0 1000 t 2023 flat
11 Australia 0 1000 t 2023 volatile
11 Austria 0 1000 t 2023 flat
11 Azerbaijan 0 1000 t 2023 volatile
11 Burkina Faso 0 1000 t 2023 down 100.0% volatile
11 Bangladesh 0 1000 t 2023 volatile
11 Bahrain 0 1000 t 2023 flat
11 Bahamas 0 1000 t 2023 flat
11 Bosnia and Herzegovina 0 1000 t 2023 flat
11 Belarus 0 1000 t 2023 flat
11 Belize 0 1000 t 2023 flat
11 Barbados 0 1000 t 2023 flat
11 Botswana 0 1000 t 2023 flat
11 Canada 0 1000 t 2023 flat
11 Switzerland 0 1000 t 2023 flat
11 Chile 0 1000 t 2023 flat
11 Congo 0 1000 t 2023 flat
11 Colombia 0 1000 t 2023 volatile
11 Costa Rica 0 1000 t 2023 flat
11 Cuba 0 1000 t 2019 flat
11 Cyprus 0 1000 t 2023 flat
11 Czechia 0 1000 t 2023 flat
11 Germany 0 1000 t 2023 flat
11 Djibouti 0 1000 t 2023 flat
11 Denmark 0 1000 t 2023 flat
11 Dominican Republic 0 1000 t 2023 flat
11 Algeria 0 1000 t 2023 flat
11 Ecuador 0 1000 t 2023 flat
11 Spain 0 1000 t 2023 volatile
11 Estonia 0 1000 t 2023 flat
11 Finland 0 1000 t 2021 flat
11 Fiji 0 1000 t 2023 flat
11 France 0 1000 t 2023 flat
11 Gabon 0 1000 t 2023 flat
11 Georgia 0 1000 t 2023 flat
11 Ghana 0 1000 t 2023 volatile
11 Gambia 0 1000 t 2021 flat
11 Grenada 0 1000 t 2023 flat
11 Guatemala 0 1000 t 2023 flat
11 Guyana 0 1000 t 2023 flat
11 Honduras 0 1000 t 2023 flat
11 Croatia 0 1000 t 2023 flat
11 Haiti 0 1000 t 2023 flat
11 Hungary 0 1000 t 2023 flat
11 Indonesia 0 1000 t 2023 flat
11 Ireland 0 1000 t 2023 flat
11 Iraq 0 1000 t 2023 volatile
11 Iceland 0 1000 t 2023 flat
11 Israel 0 1000 t 2023 volatile
11 Italy 0 1000 t 2023 flat
11 Jamaica 0 1000 t 2023 flat
11 Jordan 0 1000 t 2023 flat
11 Kenya 0 1000 t 2023 flat
11 Kyrgyzstan 0 1000 t 2023 flat
11 Cambodia 0 1000 t 2023 flat
11 Saint Kitts and Nevis 0 1000 t 2023 flat
11 Kuwait 0 1000 t 2023 flat
11 Lebanon 0 1000 t 2023 flat
11 Libya 0 1000 t 2023 flat
11 Sri Lanka 0 1000 t 2023 flat
11 Lithuania 0 1000 t 2023 flat
11 Luxembourg 0 1000 t 2023 flat
11 Latvia 0 1000 t 2023 flat
11 Morocco 0 1000 t 2023 volatile
11 Madagascar 0 1000 t 2023 flat
11 Mexico 0 1000 t 2023 up 100.0% volatile
11 Marshall Islands 0 1000 t 2023 flat
11 North Macedonia 0 1000 t 2020 flat
11 Malta 0 1000 t 2023 flat
11 Myanmar 0 1000 t 2023 down 100.0% volatile
11 Montenegro 0 1000 t 2023 flat
11 Mozambique 0 1000 t 2023 volatile
11 Mauritius 0 1000 t 2023 volatile
11 Malawi 0 1000 t 2023 down 100.0% volatile
11 Namibia 0 1000 t 2023 flat
11 New Caledonia 0 1000 t 2023 flat
11 Niger 0 1000 t 2023 flat
11 Nigeria 0 1000 t 2023 volatile
11 Nicaragua 0 1000 t 2023 flat
11 Norway 0 1000 t 2023 flat
11 Nepal 0 1000 t 2023 flat
11 New Zealand 0 1000 t 2023 flat
11 Oman 0 1000 t 2023 flat
11 Panama 0 1000 t 2019 flat
11 Peru 0 1000 t 2023 down 100.0% flat
11 Philippines 0 1000 t 2023 flat
11 Papua New Guinea 0 1000 t 2021 flat
11 Poland 0 1000 t 2023 flat
11 Portugal 0 1000 t 2023 flat
11 Paraguay 0 1000 t 2023 volatile
11 French Polynesia 0 1000 t 2023 flat
11 Qatar 0 1000 t 2023 flat
11 Romania 0 1000 t 2023 up 100.0% volatile
11 Rwanda 0 1000 t 2023 flat
11 Senegal 0 1000 t 2023 flat
11 Solomon Islands 0 1000 t 2020 flat
11 Sierra Leone 0 1000 t 2023 flat
11 El Salvador 0 1000 t 2023 flat
11 Serbia 0 1000 t 2023 flat
11 Slovakia 0 1000 t 2023 flat
11 Slovenia 0 1000 t 2023 flat
11 Sweden 0 1000 t 2023 volatile
11 Eswatini 0 1000 t 2023 flat
11 Seychelles 0 1000 t 2023 flat
11 Thailand 0 1000 t 2023 flat
11 Tajikistan 0 1000 t 2023 up 100.0% volatile
11 Trinidad and Tobago 0 1000 t 2023 flat
11 Tunisia 0 1000 t 2023 flat
11 Uganda 0 1000 t 2023 volatile
11 Ukraine 0 1000 t 2023 flat
11 Uruguay 0 1000 t 2023 flat
11 Saint Vincent and the Grenadines 0 1000 t 2021 flat
11 Vanuatu 0 1000 t 2023 flat
11 Yemen 0 1000 t 2023 flat
11 Zambia 0 1000 t 2023 volatile
11 Zimbabwe 0 1000 t 2023 volatile
11 Micronesia 0 1000 t 2023 flat
11 Cabo Verde 0 1000 t 2023 flat
11 Melanesia 0 1000 t 2023 flat
11 Polynesia 0 1000 t 2023 flat
11 Democratic Republic of the Congo 0 1000 t 2023 flat
11 Bolivia (Plurinational State of) 0 1000 t 2023 flat
11 China, Hong Kong SAR 0 1000 t 2023 flat
11 Iran (Islamic Republic of) 0 1000 t 2023 flat
11 Republic of Korea 0 1000 t 2023 down 100.0% volatile
11 Russian Federation 0 1000 t 2023 flat
11 Syrian Arab Republic 0 1000 t 2023 flat
11 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
11 Viet Nam 0 1000 t 2023 flat
11 Australia and New Zealand 0 1000 t 2023 volatile
11 Lao People's Democratic Republic 0 1000 t 2023 flat
11 United Republic of Tanzania 0 1000 t 2023 down 100.0% flat
11 China, Taiwan Province of 0 1000 t 2023 up 100.0% volatile
11 Netherlands (Kingdom of the) 0 1000 t 2023 volatile
11 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
11 Democratic People's Republic of Korea 0 1000 t 2018 volatile
11 China, Macao SAR 0 1000 t 2023 flat
154 Egypt -1 1000 t 2023 volatile
154 Greece -1 1000 t 2023 volatile
154 Pakistan -1 1000 t 2023 unchanged volatile
154 Turkmenistan -1 1000 t 2023 unchanged volatile
158 Malaysia -2 1000 t 2023 up 50.0% volatile
159 Belgium -3 1000 t 2023 flat
159 Kazakhstan -3 1000 t 2023 up 25.0% volatile
161 China -30 1000 t 2023 down 127.0% volatile
161 China, mainland -30 1000 t 2023 down 127.0% 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
Cottonseed 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
193 places, 2,455 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.