Cottonseed — 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
146
Highest
250 1000 t
Burkina Faso
Lowest
-161 1000 t
Uzbekistan
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,178

What the numbers show

Cottonseed — Stock Variation is currently reported for 146 countries. The highest value is 250 1000 t in Burkina Faso; the lowest is -161 1000 t in Uzbekistan.

The median across all reporting countries is 0 1000 t, and the mean is 1.68 1000 t.

The gap between the highest and lowest reporting country is a factor of about 2.

Over the past decade 20 countries rose and 14 fell. The largest increase was in Kenya (up 1,200.0%), and the largest decrease in Uzbekistan (down 3,120.0%).

Cottonseed — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Burkina Faso 250 1000 t 2023 up 1,100.0% volatile
2 Turkmenistan 134 1000 t 2023 volatile
3 Pakistan 132 1000 t 2023 up 232.0% volatile
4 Myanmar 94 1000 t 2023 volatile
5 Türkiye 44 1000 t 2023 down 67.6% volatile
6 Brazil 25 1000 t 2023 up 149.0% volatile
7 Kenya 22 1000 t 2023 up 1,200.0% volatile
8 Greece 15 1000 t 2023 volatile
9 Kazakhstan 14 1000 t 2023 up 240.0% volatile
10 Zambia 12 1000 t 2023 volatile
10 Republic of Korea 12 1000 t 2023 volatile
12 Israel 9 1000 t 2023 up 250.0% volatile
13 Ethiopia 8 1000 t 2023 down 20.0% volatile
14 Ghana 3 1000 t 2023 volatile
15 Azerbaijan 2 1000 t 2023 up 300.0% volatile
15 India 2 1000 t 2023 down 98.0% volatile
15 Kyrgyzstan 2 1000 t 2023 up 166.7% volatile
15 Malawi 2 1000 t 2023 down 60.0% volatile
19 Afghanistan 1 1000 t 2023 volatile
19 Iran (Islamic Republic of) 1 1000 t 2023 up 106.2% volatile
21 Angola 0 1000 t 2023 flat
21 Albania 0 1000 t 2023 flat
21 United Arab Emirates 0 1000 t 2023 down 100.0% volatile
21 Antigua and Barbuda 0 1000 t 2023 flat
21 Austria 0 1000 t 2023 flat
21 Belgium 0 1000 t 2023 flat
21 Bangladesh 0 1000 t 2023 flat
21 Bulgaria 0 1000 t 2023 volatile
21 Bahamas 0 1000 t 2023 flat
21 Bosnia and Herzegovina 0 1000 t 2023 flat
21 Barbados 0 1000 t 2023 flat
21 Bhutan 0 1000 t 2023 flat
21 Botswana 0 1000 t 2023 flat
21 Canada 0 1000 t 2023 volatile
21 Switzerland 0 1000 t 2023 flat
21 Chile 0 1000 t 2023 up 100.0% volatile
21 Costa Rica 0 1000 t 2023 flat
21 Cuba 0 1000 t 2019 flat
21 Cyprus 0 1000 t 2023 flat
21 Czechia 0 1000 t 2023 flat
21 Germany 0 1000 t 2023 flat
21 Denmark 0 1000 t 2023 flat
21 Dominican Republic 0 1000 t 2023 flat
21 Algeria 0 1000 t 2023 flat
21 Ecuador 0 1000 t 2023 flat
21 Egypt 0 1000 t 2023 up 100.0% volatile
21 Estonia 0 1000 t 2023 flat
21 Finland 0 1000 t 2023 flat
21 Fiji 0 1000 t 2023 flat
21 France 0 1000 t 2023 flat
21 Georgia 0 1000 t 2023 flat
21 Guinea 0 1000 t 2023 flat
21 Gambia 0 1000 t 2023 flat
21 Guinea-Bissau 0 1000 t 2023 flat
21 Grenada 0 1000 t 2023 flat
21 Guatemala 0 1000 t 2023 flat
21 Honduras 0 1000 t 2023 flat
21 Croatia 0 1000 t 2023 flat
21 Haiti 0 1000 t 2023 flat
21 Hungary 0 1000 t 2023 flat
21 Indonesia 0 1000 t 2023 volatile
21 Ireland 0 1000 t 2023 flat
21 Iraq 0 1000 t 2023 flat
21 Iceland 0 1000 t 2023 flat
21 Italy 0 1000 t 2023 down 100.0% volatile
21 Jamaica 0 1000 t 2020 flat
21 Jordan 0 1000 t 2023 flat
21 Cambodia 0 1000 t 2023 flat
21 Saint Kitts and Nevis 0 1000 t 2023 flat
21 Kuwait 0 1000 t 2023 flat
21 Lebanon 0 1000 t 2023 flat
21 Sri Lanka 0 1000 t 2023 flat
21 Lithuania 0 1000 t 2023 flat
21 Luxembourg 0 1000 t 2023 flat
21 Latvia 0 1000 t 2023 flat
21 Morocco 0 1000 t 2023 volatile
21 Madagascar 0 1000 t 2023 flat
21 Maldives 0 1000 t 2023 flat
21 North Macedonia 0 1000 t 2023 flat
21 Malta 0 1000 t 2023 flat
21 Montenegro 0 1000 t 2023 flat
21 Mauritania 0 1000 t 2023 flat
21 Mauritius 0 1000 t 2023 flat
21 Namibia 0 1000 t 2023 volatile
21 Niger 0 1000 t 2023 flat
21 Nicaragua 0 1000 t 2023 volatile
21 Norway 0 1000 t 2023 flat
21 Nepal 0 1000 t 2023 flat
21 New Zealand 0 1000 t 2023 flat
21 Oman 0 1000 t 2023 flat
21 Panama 0 1000 t 2020 flat
21 Peru 0 1000 t 2023 up 100.0% volatile
21 Philippines 0 1000 t 2023 flat
21 Papua New Guinea 0 1000 t 2023 flat
21 Poland 0 1000 t 2023 flat
21 Portugal 0 1000 t 2023 flat
21 Paraguay 0 1000 t 2023 up 100.0% volatile
21 Qatar 0 1000 t 2023 volatile
21 Romania 0 1000 t 2023 flat
21 Rwanda 0 1000 t 2023 flat
21 Saudi Arabia 0 1000 t 2023 flat
21 Senegal 0 1000 t 2023 up 100.0% volatile
21 El Salvador 0 1000 t 2023 flat
21 Slovakia 0 1000 t 2023 flat
21 Slovenia 0 1000 t 2023 flat
21 Sweden 0 1000 t 2023 flat
21 Eswatini 0 1000 t 2023 flat
21 Thailand 0 1000 t 2023 flat
21 Tunisia 0 1000 t 2023 volatile
21 Uganda 0 1000 t 2023 volatile
21 Uruguay 0 1000 t 2023 flat
21 Vanuatu 0 1000 t 2020 flat
21 Samoa 0 1000 t 2021 flat
21 Yemen 0 1000 t 2023 flat
21 Melanesia 0 1000 t 2023 flat
21 Polynesia 0 1000 t 2021 flat
21 Caribbean 0 1000 t 2023 flat
21 Bolivia (Plurinational State of) 0 1000 t 2023 flat
21 China, Hong Kong SAR 0 1000 t 2019 flat
21 Russian Federation 0 1000 t 2023 flat
21 Syrian Arab Republic 0 1000 t 2023 volatile
21 Venezuela (Bolivarian Republic of) 0 1000 t 2023 up 100.0% volatile
21 Viet Nam 0 1000 t 2023 flat
21 Côte d'Ivoire 0 1000 t 2023 volatile
21 Lao People's Democratic Republic 0 1000 t 2023 flat
21 China, Taiwan Province of 0 1000 t 2023 flat
21 Netherlands (Kingdom of the) 0 1000 t 2023 flat
21 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
21 Democratic People's Republic of Korea 0 1000 t 2018 flat
130 Colombia -1 1000 t 2023 volatile
130 Spain -1 1000 t 2023 up 50.0% volatile
130 Malaysia -1 1000 t 2023 down 150.0% volatile
130 Nigeria -1 1000 t 2023 up 88.9% volatile
134 Democratic Republic of the Congo -2 1000 t 2023 volatile
135 Cameroon -4 1000 t 2023 up 69.2% volatile
136 Mozambique -7 1000 t 2023 up 46.2% volatile
137 Tajikistan -8 1000 t 2023 down 200.0% volatile
138 Mexico -20 1000 t 2023 down 1,100.0% volatile
139 China -29 1000 t 2023 volatile
139 China, mainland -29 1000 t 2023 volatile
141 United Republic of Tanzania -41 1000 t 2023 down 241.4% volatile
142 Argentina -45 1000 t 2023 up 15.1% volatile
143 Zimbabwe -53 1000 t 2023 down 562.5% volatile
144 Australia -68 1000 t 2023 down 236.0% volatile
144 Australia and New Zealand -68 1000 t 2023 down 236.0% volatile
146 Uzbekistan -161 1000 t 2023 down 3,120.0% 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 — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
177 places, 2,178 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.