Cottonseed Cake — Feed 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
135
Highest
2.88 million t
India
Lowest
0 t
Netherlands (Kingdom of the)
Median
2,951 t
Years covered
53
1961–2013
Data points
8,183

What the numbers show

Cottonseed Cake — Feed is currently reported for 135 countries. The highest value is 2.88 million t in India; the lowest is 0 t in Netherlands (Kingdom of the).

The median across all reporting countries is 2,951 t, and the mean is 100,470 t.

Over the past decade 54 countries rose and 54 fell. The largest increase was in Oman (up 63,955.0%), and the largest decrease in Azerbaijan (down 100.0%).

Cottonseed Cake — Feed: full country ranking

#Country LatestYear 10-year changeTrend
1 India 2.88 million t 2013 up 140.5% volatile
2 China, mainland 2.32 million t 2013 up 22.6% volatile
3 USSR 1.68 million t 1991 down 10.1% rising
4 Pakistan 1.26 million t 2013 up 23.4% volatile
5 Brazil 966,269 t 2013 up 25.6% rising
6 Uzbekistan 616,070 t 2013 up 8.7% falling
7 T�rkiye 555,928 t 2013 up 1.4% volatile
8 Australia 485,319 t 2013 up 124.9% volatile
8 Australia and New Zealand 485,319 t 2013 up 124.9% volatile
10 Mexico 279,413 t 2013 up 26.9% falling
11 Turkmenistan 250,250 t 2013 up 229.7% rising
12 Myanmar 130,853 t 2013 up 181.0% volatile
13 Mali 127,701 t 2013 up 19.0% volatile
14 Burkina Faso 111,380 t 2013 up 36.4% volatile
15 Republic of Korea 106,575 t 2013 down 18.5% volatile
16 C�te d'Ivoire 82,769 t 2013 up 52.9% volatile
17 Iran (Islamic Republic of) 77,000 t 2013 down 49.8% rising
18 Italy 70,853 t 2013 down 35.5% volatile
19 Cameroon 63,630 t 2013 up 4.3% volatile
20 Egypt 58,822 t 2013 down 55.1% falling
21 Greece 56,351 t 2013 down 67.2% volatile
22 Kazakhstan 54,944 t 2013 down 33.8% falling
23 Saudi Arabia 49,310 t 2013 up 81.5% volatile
24 Spain 48,323 t 2013 down 59.9% rising
25 Argentina 43,368 t 2013 up 222.7% volatile
26 Nigeria 40,600 t 2013 up 24.5% volatile
27 Tajikistan 39,150 t 2013 down 46.6% falling
28 Ethiopia 35,265 t 2013 up 82.9% rising
29 United Republic of Tanzania 32,796 t 2013 down 15.2% volatile
30 Malawi 31,965 t 2013 up 482.0% volatile
31 Bolivia (Plurinational State of) 30,853 t 2013 up 10.9% volatile
32 Kenya 29,037 t 2013 up 21.8% volatile
33 Benin 26,564 t 2013 down 42.4% volatile
34 Mozambique 23,357 t 2013 up 50.7% volatile
35 Zimbabwe 23,297 t 2013 down 67.5% volatile
36 Peru 23,096 t 2013 down 22.2% falling
37 Uruguay 22,042 t 2013 up 15,989.1% volatile
38 Chad 20,129 t 2013 down 41.8% volatile
39 Sudan (former) 17,875 t 2011 down 73.5% volatile
40 Bangladesh 17,686 t 2013 up 23.6% volatile
41 United Arab Emirates 16,558 t 2013 up 3,861.2% volatile
42 Kyrgyzstan 16,457 t 2013 up 63.7% rising
43 Paraguay 15,513 t 2013 down 38.6% volatile
44 Togo 14,634 t 2013 up 78.0% volatile
45 Portugal 14,242 t 2013 up 6.3% volatile
46 Colombia 13,436 t 2013 down 46.0% volatile
47 Lebanon 13,090 t 2013 up 17.9% falling
48 Oman 12,811 t 2013 up 63,955.0% volatile
49 Japan 12,267 t 2013 down 51.7% volatile
50 Uganda 12,038 t 2013 down 53.9% volatile
51 Namibia 11,850 t 2013 up 1,842.6% volatile
52 Zambia 11,795 t 2013 down 3.9% volatile
53 Afghanistan 11,769 t 2013 up 27.7% falling
54 Democratic People's Republic of Korea 11,223 t 2013 up 6.7% volatile
55 Iraq 9,832 t 2013 down 0.6% volatile
56 Ethiopia PDR 9,350 t 1992 down 42.5% volatile
57 Israel 9,045 t 2013 down 31.8% volatile
58 Yemen 6,228 t 2013 down 36.5% volatile
59 Niger 5,903 t 2013 up 1.1% volatile
60 Senegal 5,543 t 2013 down 51.9% volatile
61 Canada 4,608 t 2013 up 646.8% volatile
62 Madagascar 3,934 t 2013 up 14.7% volatile
63 China, Taiwan Province of 3,811 t 2013 up 480.1% volatile
64 Rwanda 3,667 t 2013 up 2,905.7% volatile
65 Chile 3,633 t 2013 down 45.0% volatile
66 Ireland 3,500 t 2013 down 84.4% volatile
67 Thailand 3,045 t 2013 up 12.2% volatile
68 Venezuela (Bolivarian Republic of) 2,951 t 2013 up 17.0% volatile
69 Lao People's Democratic Republic 2,366 t 2013 up 35.0% volatile
70 Eswatini 2,072 t 2013 up 808.8% volatile
71 Ecuador 1,934 t 2013 up 57.9% volatile
72 Botswana 1,615 t 2013 up 279.1% falling
73 Hungary 1,528 t 2013 down 35.0% volatile
74 Angola 1,316 t 2013 up 97.6% volatile
75 Austria 1,024 t 2013 down 47.7% volatile
76 Honduras 791 t 2013 up 50.1% volatile
77 France 579 t 2013 down 95.9% volatile
78 Belgium-Luxembourg 575 t 1999 down 98.1% volatile
79 Nicaragua 551 t 2013 down 30.0% volatile
80 Mauritania 518 t 2013 volatile
81 Albania 424 t 2013 up 75.2% volatile
82 Bulgaria 371 t 2013 up 307.7% volatile
83 Caribbean 339 t 2013 down 97.4% volatile
84 Mauritius 322 t 2013 down 80.6% volatile
85 El Salvador 279 t 2013 up 1,228.6% volatile
86 Haiti 250 t 2013 down 29.0% volatile
87 Malta 225 t 2013 down 67.3% volatile
88 Slovakia 222 t 2013 volatile
89 Yugoslav SFR 126 t 1991 down 29.2% volatile
90 Sri Lanka 116 t 2013 volatile
91 Germany 100 t 2013 down 28.6% volatile
92 Morocco 75 t 2013 down 99.0% volatile
93 Guatemala 63 t 2013 down 92.1% volatile
94 Dominican Republic 58 t 2013 up 5,700.0% volatile
95 Slovenia 21 t 2013 up 950.0% volatile
96 Czechoslovakia 20 t 1992 down 99.8% volatile
97 United Kingdom of Great Britain and Northern Ireland 19 t 2013 down 99.9% volatile
98 Antigua and Barbuda 18 t 2013 up 5.9% volatile
99 Indonesia 14 t 2013 down 99.4% volatile
99 Philippines 14 t 2013 down 90.5% volatile
101 Grenada 12 t 2013 up 50.0% falling
102 Poland 6 t 2013 volatile
103 Romania 4 t 2013 volatile
104 Costa Rica 3 t 2013 down 95.7% volatile
105 Gambia 1 t 2013 down 75.0% volatile
105 Saint Kitts and Nevis 1 t 2013 volatile
107 Azerbaijan 0 t 2013 down 100.0% volatile
107 Belgium 0 t 2013 down 100.0% volatile
107 Bahamas 0 t 2013 volatile
107 Switzerland 0 t 2013 volatile
107 Cuba 0 t 2013 down 100.0% volatile
107 Cyprus 0 t 2013 volatile
107 Denmark 0 t 2013 volatile
107 Algeria 0 t 2013 volatile
107 Estonia 0 t 2013 volatile
107 Finland 0 t 2013 down 100.0% volatile
107 Gabon 0 t 2013 volatile
107 Ghana 0 t 2013 volatile
107 Jordan 0 t 2013 down 100.0% volatile
107 Lithuania 0 t 2013 volatile
107 Latvia 0 t 2013 volatile
107 North Macedonia 0 t 2013 down 100.0% volatile
107 Mongolia 0 t 2013 volatile
107 Malaysia 0 t 2013 volatile
107 New Caledonia 0 t 2013 volatile
107 Norway 0 t 2013 volatile
107 Nepal 0 t 2013 volatile
107 Panama 0 t 2013 volatile
107 Sweden 0 t 2013 down 100.0% volatile
107 Trinidad and Tobago 0 t 2013 volatile
107 Saint Vincent and the Grenadines 0 t 2013 volatile
107 Melanesia 0 t 2013 volatile
107 Republic of Moldova 0 t 2013 volatile
107 Russian Federation 0 t 2013 volatile
107 Netherlands (Kingdom of the) 0 t 2013 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 Cake — Feed
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
167 places, 8,183 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.