Statizoid

Cotton lint — Domestic supply quantity by country

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
164
Highest
10.44 million t
China, mainland
Lowest
-213 t
Serbia and Montenegro
Median
1,911 t
Years covered
53
1961–2013
Data points
9,432

What the numbers show

Cotton lint — Domestic supply quantity is currently reported for 164 countries. The highest value is 10.44 million t in China, mainland; the lowest is -213 t in Serbia and Montenegro.

The median across all reporting countries is 1,911 t, and the mean is 162,373 t.

The gap between the highest and lowest reporting country is a factor of about 49,011.

Over the past decade 59 countries rose and 92 fell. The largest increase was in Kyrgyzstan (up 49,364.9%), and the largest decrease in Belize (down 400.0%).

Cotton lint — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China, mainland 10.44 million t 2013 up 85.8% volatile
2 India 3.86 million t 2013 up 59.6% rising
3 Pakistan 2.42 million t 2013 up 31.5% volatile
4 USSR 1.95 million t 1991 down 2.7% rising
5 T�rkiye 1.70 million t 2013 up 22.5% volatile
6 Uzbekistan 784,498 t 2013 up 172.9% volatile
7 Indonesia 672,504 t 2013 up 29.1% volatile
8 Viet Nam 580,506 t 2013 up 471.0% volatile
9 Brazil 567,907 t 2013 down 15.2% rising
10 Bangladesh 468,400 t 2013 up 199.4% volatile
11 Mexico 356,246 t 2013 down 27.2% volatile
12 Thailand 346,005 t 2013 down 16.0% volatile
13 Republic of Korea 293,760 t 2013 down 4.6% rising
14 China, Taiwan Province of 206,149 t 2013 down 11.5% rising
15 Argentina 165,489 t 2013 up 35.1% rising
16 Myanmar 136,837 t 2013 up 158.3% volatile
17 Egypt 122,839 t 2013 up 1,195.8% falling
18 Peru 95,277 t 2013 up 15.1% volatile
19 Tajikistan 76,613 t 2013 up 237.5% volatile
20 Iran (Islamic Republic of) 70,000 t 2013 down 38.6% rising
21 Japan 69,165 t 2013 down 65.3% volatile
22 Russian Federation 66,166 t 2013 down 76.9% falling
23 Kazakhstan 63,682 t 2013 up 507.0% volatile
24 Nigeria 61,440 t 2013 down 54.6% volatile
25 Czechoslovakia 58,685 t 1992 down 50.5% flat
26 Colombia 56,064 t 2013 down 43.3% rising
27 United Republic of Tanzania 49,731 t 2013 up 413.3% volatile
28 Zimbabwe 44,906 t 2013 up 194.2% volatile
29 Germany 44,805 t 2013 down 47.2% volatile
30 Italy 42,920 t 2013 down 82.0% falling
31 Greece 41,640 t 2013 down 51.8% volatile
32 Belgium-Luxembourg 39,707 t 1999 down 12.4% falling
33 Portugal 37,089 t 2013 down 61.4% falling
34 Morocco 35,407 t 2013 up 1.5% volatile
35 China, Hong Kong SAR 35,000 t 2013 down 54.2% falling
36 Ethiopia 31,340 t 2013 up 69.4% volatile
37 Malawi 30,956 t 2013 up 550.3% volatile
38 Yugoslav SFR 29,713 t 1991 down 70.2% rising
39 El Salvador 29,609 t 2013 up 32.8% volatile
40 Bolivia (Plurinational State of) 29,296 t 2013 up 28.3% volatile
41 Turkmenistan 25,681 t 2013 down 78.4% volatile
42 Guatemala 24,678 t 2013 up 68.6% volatile
43 Mauritius 21,308 t 2013 up 83.0% volatile
44 Chad 21,005 t 2013 up 44.3% volatile
45 Malaysia 18,569 t 2013 down 59.5% volatile
46 Kyrgyzstan 18,302 t 2013 up 49,364.9% volatile
47 Ecuador 16,529 t 2013 up 12.8% rising
48 Democratic People's Republic of Korea 16,000 t 2013 up 8.6% falling
49 Ethiopia PDR 14,600 t 1992 down 28.5% rising
50 Uganda 14,115 t 2013 down 23.3% volatile
51 Mali 14,061 t 2013 up 406.3% volatile
52 Belarus 13,858 t 2013 up 117.0% falling
53 Guinea 13,685 t 2013 up 20.8% volatile
54 France 13,139 t 2013 down 78.0% volatile
55 Iraq 12,099 t 2013 up 31.2% volatile
56 Azerbaijan 10,927 t 2013 up 126.7% volatile
57 Philippines 10,693 t 2013 down 62.9% falling
58 Tunisia 10,627 t 2013 down 49.0% volatile
59 Burkina Faso 8,810 t 2013 down 19.3% volatile
60 Sudan (former) 8,558 t 2011 up 63.7% volatile
61 Belgium 8,207 t 2013 down 72.2% volatile
62 Mozambique 7,783 t 2013 down 53.8% volatile
63 Venezuela (Bolivarian Republic of) 6,390 t 2013 down 51.0% volatile
64 Afghanistan 5,990 t 2013 up 44.8% volatile
65 Yemen 5,861 t 2013 down 40.8% volatile
66 Austria 5,394 t 2013 down 73.1% falling
67 Bulgaria 4,617 t 2013 down 76.1% volatile
68 Kenya 4,225 t 2013 down 47.9% volatile
69 Czechia 3,976 t 2013 down 92.2% volatile
70 Honduras 3,954 t 2013 up 254.0% volatile
71 Spain 3,755 t 2013 down 95.8% falling
72 United Arab Emirates 3,424 t 2013 up 164.9% volatile
73 Netherlands (Kingdom of the) 3,374 t 2013 up 54.1% volatile
74 Algeria 3,334 t 2013 down 83.1% volatile
75 Switzerland 3,320 t 2013 down 82.4% volatile
76 Poland 3,179 t 2013 down 93.4% volatile
77 Bosnia and Herzegovina 3,176 t 2013 up 376.9% volatile
78 Lao People's Democratic Republic 3,138 t 2013 up 100.1% volatile
79 Niger 2,963 t 2013 up 17.9% volatile
80 Zambia 2,730 t 2013 up 70.0% volatile
82 Ghana 2,193 t 2013 down 60.3% volatile
83 C�te d'Ivoire 1,957 t 2013 down 47.2% volatile
84 Cuba 1,865 t 2013 down 6.6% volatile
85 Nepal 1,814 t 2013 up 21.9% volatile
86 Ukraine 1,550 t 2013 — volatile
87 Eswatini 1,532 t 2013 down 46.2% volatile
88 Guinea-Bissau 1,350 t 2013 up 150.5% volatile
89 Djibouti 1,251 t 2013 — volatile
90 Slovenia 1,143 t 2013 down 89.8% volatile
91 Nicaragua 1,120 t 2013 up 15.8% volatile
92 Serbia 1,047 t 2013 down 60.4% volatile
93 Angola 1,007 t 2013 up 0.4% volatile
94 Sri Lanka 885 t 2013 down 81.9% volatile
95 Benin 818 t 2013 down 70.7% volatile
96 Romania 761 t 2013 down 96.5% volatile
97 Canada 704 t 2013 down 99.0% falling
98 North Macedonia 656 t 2013 down 48.9% volatile
99 Hungary 603 t 2013 down 89.7% volatile
100 Costa Rica 592 t 2013 up 1,941.4% volatile
101 Paraguay 553 t 2013 down 94.5% volatile
102 Haiti 474 t 2013 up 2.6% volatile
103 Lebanon 382 t 2013 down 25.1% volatile
104 Botswana 376 t 2013 up 43.0% volatile
105 United Kingdom of Great Britain and Northern Ireland 355 t 2013 down 98.0% volatile
106 Ireland 323 t 2013 up 7.0% volatile
107 Israel 309 t 2013 up 423.7% volatile
108 Australia 302 t 2013 down 35.7% volatile
108 Australia and New Zealand 302 t 2013 down 37.1% volatile
110 Togo 296 t 2013 up 529.8% volatile
111 Albania 237 t 2013 down 28.2% volatile
112 Saudi Arabia 215 t 2013 down 83.6% volatile
113 Gambia 193 t 2013 up 19,200.0% volatile
114 Denmark 143 t 2013 up 55.4% volatile
115 Cameroon 122 t 2013 down 90.8% volatile
116 Dominican Republic 120 t 2013 down 79.6% volatile
117 Uruguay 98 t 2013 down 55.5% volatile
118 Croatia 86 t 2013 down 95.9% volatile
119 Madagascar 69 t 2013 down 92.6% volatile
120 Armenia 66 t 2013 up 266.7% volatile
121 Kuwait 65 t 2013 up 2,066.7% volatile
122 Oman 63 t 2013 up 23.5% volatile
123 Norway 49 t 2013 down 31.0% volatile
124 Chile 42 t 2013 down 99.7% falling
125 Namibia 37 t 2013 down 98.3% volatile
126 Finland 31 t 2013 down 3.1% volatile
127 Sweden 30 t 2013 down 98.5% volatile
128 Lithuania 28 t 2013 down 99.6% volatile
128 Latvia 28 t 2013 down 99.1% volatile
130 Mauritania 25 t 2013 — volatile
131 Slovakia 24 t 2013 down 99.6% volatile
132 Trinidad and Tobago 21 t 2013 — volatile
133 Jordan 18 t 2013 down 96.7% volatile
134 Guyana 12 t 2013 up 300.0% volatile
134 Republic of Moldova 12 t 2013 — volatile
136 Grenada 10 t 2013 down 16.7% volatile
137 Mongolia 7 t 2013 down 91.7% volatile
138 Bahamas 6 t 2013 — volatile
139 Cambodia 4 t 2013 down 99.9% volatile
140 Estonia 3 t 2013 down 100.0% volatile
141 Saint Kitts and Nevis 2 t 2013 up 100.0% volatile
141 Luxembourg 2 t 2013 up 100.0% volatile
141 Rwanda 2 t 2013 down 99.1% volatile
144 Congo 1 t 2013 down 98.6% volatile
144 Jamaica 1 t 2013 down 97.7% volatile
144 Brunei Darussalam 1 t 2013 down 50.0% volatile
147 Cyprus 0 t 2013 down 100.0% volatile
147 Gabon 0 t 2013 down 100.0% volatile
147 Georgia 0 t 2013 down 100.0% volatile
147 Saint Lucia 0 t 2013 down 100.0% volatile
147 Malta 0 t 2013 — volatile
147 New Zealand 0 t 2013 down 100.0% volatile
147 Panama 0 t 2013 down 100.0% volatile
147 Senegal 0 t 2013 down 100.0% volatile
147 Suriname 0 t 2013 down 100.0% volatile
147 Saint Vincent and the Grenadines 0 t 2013 — volatile
147 Samoa 0 t 2013 — volatile
147 Timor-Leste 0 t 2013 — volatile
147 Cabo Verde 0 t 2013 — volatile
147 Polynesia 0 t 2013 — volatile
147 China, Macao SAR 0 t 2013 down 100.0% volatile
162 Belize -10 t 2013 down 400.0% volatile
163 Antigua and Barbuda -11.34 t 2013 down 118.4% volatile
164 Barbados -26 t 2013 down 36.8% volatile
165 Serbia and Montenegro -213 t 2005 — volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Cotton lint — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/stat/cotton-lint-domestic-supply-quantity/

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About this data

Indicator
Cotton lint — Domestic supply quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
197 places, 9,432 data points, 1961–2013
Last refreshed

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 caput 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.