Cottonseed — Processing 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
86
Highest
8,644 1000 t
China
Lowest
0 1000 t
Caribbean
Median
8.5 1000 t
Years covered
14
2010–2023
Data points
1,546

What the numbers show

Cottonseed — Processing is currently reported for 86 countries. The highest value is 8,644 1000 t in China; the lowest is 0 1000 t in Caribbean.

The median across all reporting countries is 8.5 1000 t, and the mean is 374.81 1000 t.

Over the past decade 20 countries rose and 41 fell. The largest increase was in Viet Nam (up 200.0%), and the largest decrease in Colombia (down 100.0%).

Cottonseed — Processing: full country ranking

#Country LatestYear 10-year changeTrend
1 China 8,644 1000 t 2023 down 19.8% falling
1 China, mainland 8,644 1000 t 2023 down 19.8% falling
3 India 6,338 1000 t 2023 up 8.1% rising
4 Brazil 1,985 1000 t 2023 up 15.3% flat
5 Pakistan 1,182 1000 t 2023 down 53.0% falling
6 Türkiye 1,088 1000 t 2023 up 13.9% rising
7 Uzbekistan 1,079 1000 t 2023 down 29.8% falling
8 Mexico 307 1000 t 2023 up 10.4% rising
9 Cameroon 220 1000 t 2023 up 86.4% rising
10 United Republic of Tanzania 201 1000 t 2023 up 17.5% flat
11 Australia 199 1000 t 2023 down 58.1% falling
11 Australia and New Zealand 199 1000 t 2023 down 58.1% falling
13 Greece 166 1000 t 2023 up 9.2% rising
14 Tajikistan 160 1000 t 2023 up 102.5% rising
15 Saudi Arabia 150 1000 t 2023 up 82.9% rising
16 Turkmenistan 146 1000 t 2023 down 48.0% falling
16 Côte d'Ivoire 146 1000 t 2023 up 33.9% rising
18 Argentina 133 1000 t 2023 up 58.3% falling
19 Egypt 132 1000 t 2023 down 1.5% falling
20 Republic of Korea 127 1000 t 2023 down 16.4% flat
21 Myanmar 109 1000 t 2023 down 58.4% falling
22 Italy 107 1000 t 2023 down 19.5% falling
22 Nigeria 107 1000 t 2023 up 18.9% rising
24 Zimbabwe 92 1000 t 2023 down 30.3% falling
25 Afghanistan 77 1000 t 2023 up 196.2% rising
26 Kazakhstan 49 1000 t 2023 down 59.5% falling
27 Burkina Faso 44 1000 t 2023 down 89.7% volatile
28 Ethiopia 43 1000 t 2023 up 115.0% rising
29 Bangladesh 40 1000 t 2023 up 17.6% rising
30 Iran (Islamic Republic of) 37 1000 t 2023 down 54.3% falling
31 Spain 31 1000 t 2023 down 65.9% falling
32 Uganda 30 1000 t 2023 up 172.7% volatile
33 Democratic People's Republic of Korea 24 1000 t 2018 up 4.3% rising
34 Kyrgyzstan 20 1000 t 2023 down 47.4% falling
35 Peru 19 1000 t 2023 down 65.5% falling
35 Syrian Arab Republic 19 1000 t 2023 down 91.2% volatile
37 Malawi 18 1000 t 2023 down 83.8% volatile
38 Mozambique 16 1000 t 2023 down 30.4% volatile
38 Zambia 16 1000 t 2023 down 64.4% volatile
40 Azerbaijan 15 1000 t 2023 up 50.0% volatile
41 Israel 10 1000 t 2023 down 50.0% falling
41 Paraguay 10 1000 t 2023 down 66.7% volatile
43 Madagascar 9 1000 t 2023 unchanged falling
44 Senegal 8 1000 t 2023 down 38.5% falling
45 Bolivia (Plurinational State of) 5 1000 t 2023 down 92.5% volatile
46 Chile 3 1000 t 2023 down 66.7% falling
46 Niger 3 1000 t 2023 down 50.0% falling
46 Yemen 3 1000 t 2023 down 70.0% falling
46 Venezuela (Bolivarian Republic of) 3 1000 t 2023 down 57.1% volatile
46 Viet Nam 3 1000 t 2023 up 200.0% volatile
51 Angola 2 1000 t 2023 down 33.3% falling
51 Ecuador 2 1000 t 2023 unchanged flat
51 Honduras 2 1000 t 2023 unchanged flat
51 Kenya 2 1000 t 2023 down 81.8% falling
51 Nicaragua 2 1000 t 2023 up 100.0% rising
51 Democratic Republic of the Congo 2 1000 t 2023 down 87.5% volatile
57 Botswana 1 1000 t 2023 unchanged falling
57 Morocco 1 1000 t 2023 volatile
57 Namibia 1 1000 t 2019 down 83.3% volatile
57 Eswatini 1 1000 t 2023 unchanged volatile
57 Thailand 1 1000 t 2023 unchanged flat
57 Lao People's Democratic Republic 1 1000 t 2023 down 80.0% falling
63 Albania 0 1000 t 2023 flat
63 Antigua and Barbuda 0 1000 t 2023 flat
63 Bulgaria 0 1000 t 2018 volatile
63 Colombia 0 1000 t 2022 down 100.0% volatile
63 Costa Rica 0 1000 t 2023 flat
63 Dominican Republic 0 1000 t 2020 flat
63 France 0 1000 t 2014 flat
63 Grenada 0 1000 t 2023 flat
63 Guatemala 0 1000 t 2023 flat
63 Haiti 0 1000 t 2023 flat
63 Hungary 0 1000 t 2022 down 100.0% volatile
63 Indonesia 0 1000 t 2017 flat
63 Iraq 0 1000 t 2023 down 100.0% volatile
63 Saint Kitts and Nevis 0 1000 t 2023 flat
63 Lebanon 0 1000 t 2023 down 100.0% volatile
63 Sri Lanka 0 1000 t 2014 flat
63 Nepal 0 1000 t 2023 flat
63 Philippines 0 1000 t 2023 flat
63 Poland 0 1000 t 2014 flat
63 Portugal 0 1000 t 2023 down 100.0% volatile
63 Romania 0 1000 t 2023 flat
63 El Salvador 0 1000 t 2020 volatile
63 Uruguay 0 1000 t 2023 volatile
63 Caribbean 0 1000 t 2023 down 100.0% 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 — Processing
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
116 places, 1,546 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.