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
167
Highest
10.44 million t
China, mainland
Lowest
-213 t
Serbia and Montenegro
Median
2,193 t
Years covered
53
1961–2013
Data points
9,432

What the numbers show

Cotton lint — Domestic supply quantity is currently reported for 167 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 2,193 t, and the mean is 159,758 t.

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

Over the past decade 60 countries rose and 94 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
3 Viet Nam 580,506 t 2013 up 471.0% volatile
4 USSR 1.95 million t 1991 down 2.7% rising
4 Iran (Islamic Republic of) 70,000 t 2013 down 38.6% rising
5 T�rkiye 1.70 million t 2013 up 22.5% volatile
5 United Republic of Tanzania 49,731 t 2013 up 413.3% volatile
6 Uzbekistan 784,498 t 2013 up 172.9% volatile
6 Bolivia (Plurinational State of) 29,296 t 2013 up 28.3% volatile
7 Indonesia 672,504 t 2013 up 29.1% volatile
8 Brazil 567,907 t 2013 down 15.2% rising
8 Democratic People's Republic of Korea 16,000 t 2013 up 8.6% falling
9 Bangladesh 468,400 t 2013 up 199.4% volatile
9 Venezuela (Bolivarian Republic of) 6,390 t 2013 down 51.0% volatile
10 Mexico 356,246 t 2013 down 27.2% volatile
10 Lao People's Democratic Republic 3,138 t 2013 up 100.1% volatile
11 Thailand 346,005 t 2013 down 16.0% volatile
11 Republic of Moldova 12 t 2013 — volatile
12 Republic of Korea 293,760 t 2013 down 4.6% rising
12 Timor-Leste 0 t 2013 — volatile
12 Polynesia 0 t 2013 — volatile
13 China, Taiwan Province of 206,149 t 2013 down 11.5% rising
14 Argentina 165,489 t 2013 up 35.1% rising
15 Myanmar 136,837 t 2013 up 158.3% volatile
16 Egypt 122,839 t 2013 up 1,195.8% falling
17 Peru 95,277 t 2013 up 15.1% volatile
18 Tajikistan 76,613 t 2013 up 237.5% volatile
19 Japan 69,165 t 2013 down 65.3% volatile
20 Russian Federation 66,166 t 2013 down 76.9% falling
21 Kazakhstan 63,682 t 2013 up 507.0% volatile
22 Nigeria 61,440 t 2013 down 54.6% volatile
23 Czechoslovakia 58,685 t 1992 down 50.5% flat
24 Colombia 56,064 t 2013 down 43.3% rising
25 Zimbabwe 44,906 t 2013 up 194.2% volatile
26 Germany 44,805 t 2013 down 47.2% volatile
26 Caribbean 2,462 t 2013 down 21.9% volatile
27 Italy 42,920 t 2013 down 82.0% falling
28 South Africa 41,920 t 2013 down 49.4% rising
29 Greece 41,640 t 2013 down 51.8% volatile
29 Cabo Verde 0 t 2013 — volatile
30 Belgium-Luxembourg 39,707 t 1999 down 12.4% falling
31 Portugal 37,089 t 2013 down 61.4% falling
32 Morocco 35,407 t 2013 up 1.5% volatile
33 China, Hong Kong SAR 35,000 t 2013 down 54.2% falling
34 Ethiopia 31,340 t 2013 up 69.4% volatile
35 Malawi 30,956 t 2013 up 550.3% volatile
36 Yugoslav SFR 29,713 t 1991 down 70.2% rising
37 El Salvador 29,609 t 2013 up 32.8% volatile
38 Turkmenistan 25,681 t 2013 down 78.4% volatile
39 Guatemala 24,678 t 2013 up 68.6% volatile
40 Mauritius 21,308 t 2013 up 83.0% volatile
41 Chad 21,005 t 2013 up 44.3% volatile
42 Malaysia 18,569 t 2013 down 59.5% volatile
43 Kyrgyzstan 18,302 t 2013 up 49,364.9% volatile
44 Ecuador 16,529 t 2013 up 12.8% rising
45 Ethiopia PDR 14,600 t 1992 down 28.5% rising
46 Uganda 14,115 t 2013 down 23.3% volatile
47 Mali 14,061 t 2013 up 406.3% volatile
48 Belarus 13,858 t 2013 up 117.0% falling
49 Guinea 13,685 t 2013 up 20.8% volatile
50 France 13,139 t 2013 down 78.0% volatile
51 Iraq 12,099 t 2013 up 31.2% volatile
52 Azerbaijan 10,927 t 2013 up 126.7% volatile
53 Philippines 10,693 t 2013 down 62.9% falling
54 Tunisia 10,627 t 2013 down 49.0% volatile
55 Burkina Faso 8,810 t 2013 down 19.3% volatile
56 Sudan (former) 8,558 t 2011 up 63.7% volatile
57 Belgium 8,207 t 2013 down 72.2% volatile
58 Mozambique 7,783 t 2013 down 53.8% volatile
59 Central African Republic 6,000 t 2013 up 85.8% volatile
60 Afghanistan 5,990 t 2013 up 44.8% volatile
61 Yemen 5,861 t 2013 down 40.8% volatile
62 Austria 5,394 t 2013 down 73.1% falling
63 Bulgaria 4,617 t 2013 down 76.1% volatile
64 Kenya 4,225 t 2013 down 47.9% volatile
65 Czechia 3,976 t 2013 down 92.2% volatile
66 Honduras 3,954 t 2013 up 254.0% volatile
67 Spain 3,755 t 2013 down 95.8% falling
68 United Arab Emirates 3,424 t 2013 up 164.9% volatile
69 Netherlands (Kingdom of the) 3,374 t 2013 up 54.1% volatile
70 Algeria 3,334 t 2013 down 83.1% volatile
71 Switzerland 3,320 t 2013 down 82.4% volatile
72 Poland 3,179 t 2013 down 93.4% volatile
73 Bosnia and Herzegovina 3,176 t 2013 up 376.9% volatile
74 Niger 2,963 t 2013 up 17.9% volatile
75 Zambia 2,730 t 2013 up 70.0% volatile
76 Ghana 2,193 t 2013 down 60.3% volatile
77 C�te d'Ivoire 1,957 t 2013 down 47.2% volatile
78 Cuba 1,865 t 2013 down 6.6% volatile
79 Nepal 1,814 t 2013 up 21.9% volatile
80 Ukraine 1,550 t 2013 — volatile
81 Eswatini 1,532 t 2013 down 46.2% volatile
82 Guinea-Bissau 1,350 t 2013 up 150.5% volatile
83 Djibouti 1,251 t 2013 — volatile
84 Slovenia 1,143 t 2013 down 89.8% volatile
85 Nicaragua 1,120 t 2013 up 15.8% volatile
86 Serbia 1,047 t 2013 down 60.4% volatile
87 Angola 1,007 t 2013 up 0.4% volatile
88 Sri Lanka 885 t 2013 down 81.9% volatile
89 Benin 818 t 2013 down 70.7% volatile
90 Romania 761 t 2013 down 96.5% volatile
91 Canada 704 t 2013 down 99.0% falling
92 North Macedonia 656 t 2013 down 48.9% volatile
93 Hungary 603 t 2013 down 89.7% volatile
94 Costa Rica 592 t 2013 up 1,941.4% volatile
95 Paraguay 553 t 2013 down 94.5% volatile
96 Haiti 474 t 2013 up 2.6% volatile
97 Lebanon 382 t 2013 down 25.1% volatile
98 Botswana 376 t 2013 up 43.0% volatile
99 United Kingdom of Great Britain and Northern Ireland 355 t 2013 down 98.0% volatile
100 Ireland 323 t 2013 up 7.0% volatile
101 Israel 309 t 2013 up 423.7% volatile
102 Australia 302 t 2013 down 35.7% volatile
102 Australia and New Zealand 302 t 2013 down 37.1% volatile
104 Togo 296 t 2013 up 529.8% volatile
105 Albania 237 t 2013 down 28.2% volatile
106 Saudi Arabia 215 t 2013 down 83.6% volatile
107 Gambia 193 t 2013 up 19,200.0% volatile
108 Denmark 143 t 2013 up 55.4% volatile
109 Cameroon 122 t 2013 down 90.8% volatile
110 Dominican Republic 120 t 2013 down 79.6% volatile
111 Uruguay 98 t 2013 down 55.5% volatile
112 Croatia 86 t 2013 down 95.9% volatile
113 Madagascar 69 t 2013 down 92.6% volatile
114 Armenia 66 t 2013 up 266.7% volatile
115 Kuwait 65 t 2013 up 2,066.7% volatile
116 Oman 63 t 2013 up 23.5% volatile
117 Norway 49 t 2013 down 31.0% volatile
118 Chile 42 t 2013 down 99.7% falling
119 Namibia 37 t 2013 down 98.3% volatile
120 Finland 31 t 2013 down 3.1% volatile
121 Sweden 30 t 2013 down 98.5% volatile
122 Lithuania 28 t 2013 down 99.6% volatile
122 Latvia 28 t 2013 down 99.1% volatile
124 Mauritania 25 t 2013 — volatile
125 Slovakia 24 t 2013 down 99.6% volatile
126 Trinidad and Tobago 21 t 2013 — volatile
127 Jordan 18 t 2013 down 96.7% volatile
128 Guyana 12 t 2013 up 300.0% volatile
129 Grenada 10 t 2013 down 16.7% volatile
130 Mongolia 7 t 2013 down 91.7% volatile
131 Bahamas 6 t 2013 — volatile
132 Cambodia 4 t 2013 down 99.9% volatile
133 Estonia 3 t 2013 down 100.0% volatile
134 Saint Kitts and Nevis 2 t 2013 up 100.0% volatile
134 Luxembourg 2 t 2013 up 100.0% volatile
134 Rwanda 2 t 2013 down 99.1% volatile
137 Congo 1 t 2013 down 98.6% volatile
137 Jamaica 1 t 2013 down 97.7% volatile
137 Brunei Darussalam 1 t 2013 down 50.0% volatile
140 Cyprus 0 t 2013 down 100.0% volatile
140 Gabon 0 t 2013 down 100.0% volatile
140 Georgia 0 t 2013 down 100.0% volatile
140 Saint Lucia 0 t 2013 down 100.0% volatile
140 Malta 0 t 2013 — volatile
140 New Zealand 0 t 2013 down 100.0% volatile
140 Panama 0 t 2013 down 100.0% volatile
140 Senegal 0 t 2013 down 100.0% volatile
140 Suriname 0 t 2013 down 100.0% volatile
140 Saint Vincent and the Grenadines 0 t 2013 — volatile
140 Samoa 0 t 2013 — volatile
140 China, Macao SAR 0 t 2013 down 100.0% volatile
152 Belize -10 t 2013 down 400.0% volatile
153 Antigua and Barbuda -11.34 t 2013 down 118.4% volatile
154 Barbados -26 t 2013 down 36.8% volatile
155 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 05 October 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.