Statizoid

Copra 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
133
Highest
589,912 t
Republic of Korea
Lowest
0 t
China, Macao SAR
Median
205 t
Years covered
53
1961–2013
Data points
8,069

What the numbers show

Copra Cake — Feed is currently reported for 133 countries. The highest value is 589,912 t in Republic of Korea; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 205 t, and the mean is 15,636 t.

Over the past decade 45 countries rose and 46 fell. The largest increase was in China, mainland (up 120,504.0%), and the largest decrease in Austria (down 100.0%).

Copra Cake — Feed: full country ranking

#Country LatestYear 10-year changeTrend
1 Republic of Korea 589,912 t 2013 up 61.1% volatile
2 India 282,510 t 2013 down 9.5% rising
2 Viet Nam 277,138 t 2013 up 55.0% volatile
3 Indonesia 255,833 t 2013 up 64.6% volatile
3 Melanesia 11,139 t 2013 up 69.4% rising
4 China, mainland 129,046 t 2013 up 120,504.0% volatile
4 Venezuela (Bolivarian Republic of) 9,562 t 2013 up 38.0% volatile
5 Belgium-Luxembourg 94,393 t 1999 up 28.2% volatile
5 Polynesia 6,817 t 2013 up 57.6% volatile
6 Mexico 69,909 t 2013 up 6.7% rising
6 United Republic of Tanzania 6,652 t 2013 down 36.1% volatile
7 Philippines 55,501 t 2013 down 83.7% volatile
8 China, Taiwan Province of 35,070 t 2013 up 51.1% volatile
8 Micronesia 1,443 t 2013 down 8.0% volatile
9 Malaysia 28,741 t 2013 up 43.2% falling
9 Iran (Islamic Republic of) 667 t 2013 — volatile
10 Sri Lanka 23,794 t 2013 up 797.5% volatile
11 Thailand 14,575 t 2013 down 50.9% volatile
11 Timor-Leste 210 t 2013 up 100.0% rising
12 C�te d'Ivoire 14,508 t 2013 up 20.2% volatile
13 Mozambique 14,130 t 2013 up 150.1% volatile
14 Japan 12,323 t 2013 down 37.2% falling
15 Australia and New Zealand 12,213 t 2013 down 71.4% volatile
16 Australia 9,791 t 2013 down 76.2% volatile
17 Bangladesh 8,337 t 2013 down 40.2% volatile
18 Caribbean 12,193 t 2013 up 13.5% falling
18 Poland 6,636 t 2013 — volatile
19 Nigeria 6,360 t 2013 up 29.8% rising
20 Pakistan 6,231 t 2013 up 22.3% volatile
21 Madagascar 6,139 t 2013 up 49.8% rising
22 Jamaica 6,125 t 2013 up 34.6% rising
23 Cambodia 5,998 t 2013 up 55.8% rising
24 Belgium 5,950 t 2013 down 88.8% volatile
25 Solomon Islands 5,850 t 2013 up 90.6% volatile
26 Ghana 4,968 t 2013 up 23.4% rising
27 Italy 4,514 t 2013 down 21.1% volatile
28 Dominican Republic 4,200 t 2013 unchanged volatile
29 Samoa 3,600 t 2013 up 88.5% volatile
30 Guinea-Bissau 3,307 t 2013 up 5.0% rising
31 French Polynesia 3,217 t 2013 up 33.2% volatile
32 Fiji 2,709 t 2013 down 10.4% volatile
33 South Africa 2,680 t 2013 down 72.9% volatile
34 Kenya 2,610 t 2013 down 31.3% volatile
35 Vanuatu 2,491 t 2013 up 507.6% volatile
36 New Zealand 2,422 t 2013 up 49.2% volatile
37 Sao Tome and Principe 1,547 t 2013 up 750.0% volatile
38 Kiribati 1,443 t 2013 down 8.0% volatile
39 Brazil 1,399 t 2013 down 0.1% rising
40 Netherlands (Kingdom of the) 1,054 t 2013 down 99.3% volatile
41 France 991 t 2013 down 90.4% volatile
42 Ecuador 970 t 2013 up 8.7% volatile
43 Benin 910 t 2013 down 13.3% flat
44 Togo 843 t 2013 up 26.8% rising
45 Trinidad and Tobago 779 t 2013 up 15.2% volatile
46 Guinea 773 t 2013 up 10.4% rising
47 Nicaragua 755 t 2013 up 920.3% volatile
48 Suriname 604 t 2013 up 5.0% flat
49 El Salvador 593 t 2013 down 56.2% rising
50 Cameroon 578 t 2013 up 65.1% rising
51 Guyana 528 t 2013 down 43.3% falling
52 United Arab Emirates 391 t 2013 up 2,072.2% volatile
53 Saint Kitts and Nevis 310 t 2013 up 252.3% volatile
54 Eswatini 278 t 2013 down 34.1% volatile
55 Dominica 259 t 2013 up 0.4% volatile
56 United Kingdom of Great Britain and Northern Ireland 229 t 2013 down 99.2% volatile
57 China, Hong Kong SAR 224 t 2013 up 11,100.0% volatile
58 Grenada 205 t 2013 up 6.8% rising
58 Mali 205 t 2013 — volatile
60 Portugal 178 t 2013 down 96.4% volatile
61 Saint Vincent and the Grenadines 167 t 2013 down 25.4% volatile
62 Saint Lucia 148 t 2013 down 73.5% falling
63 Costa Rica 129 t 2013 — volatile
64 Chile 112 t 2013 — volatile
65 Finland 97 t 2013 — volatile
66 New Caledonia 89 t 2013 up 29.0% volatile
67 Canada 56 t 2013 — volatile
68 Honduras 54 t 2013 down 85.7% volatile
69 Denmark 50 t 2013 down 44.4% volatile
70 Albania 49 t 2013 — volatile
71 Ireland 47 t 2013 down 99.5% volatile
72 Slovakia 22 t 2013 up 69.2% volatile
73 Spain 20 t 2013 down 99.9% volatile
74 Myanmar 17 t 2013 down 50.0% volatile
75 Iraq 15 t 2013 — volatile
76 Panama 13 t 2013 up 18.2% volatile
77 Czechia 10 t 2013 down 82.1% volatile
77 Romania 10 t 2013 — volatile
79 Morocco 9 t 2013 — volatile
80 Bulgaria 8 t 2013 up 100.0% volatile
81 Mauritius 7 t 2013 down 93.3% volatile
82 Maldives 5 t 2013 down 99.8% volatile
83 Latvia 4 t 2013 — volatile
83 Brunei Darussalam 4 t 2013 — volatile
85 Colombia 3 t 2013 — volatile
85 Kazakhstan 3 t 2013 — volatile
87 Switzerland 2 t 2013 — volatile
87 Uganda 2 t 2013 — volatile
89 Burkina Faso 1 t 2013 down 98.0% volatile
89 Rwanda 1 t 2013 — volatile
89 Sweden 1 t 2013 — volatile
92 Argentina 0 t 2013 — volatile
92 Austria 0 t 2013 down 100.0% volatile
92 Barbados 0 t 2013 — volatile
92 Botswana 0 t 2013 down 100.0% volatile
92 Cyprus 0 t 2013 — volatile
92 Germany 0 t 2013 down 100.0% volatile
92 Georgia 0 t 2013 — volatile
92 Greece 0 t 2013 — volatile
92 Guatemala 0 t 2013 — volatile
92 Croatia 0 t 2013 — volatile
92 Hungary 0 t 2013 — volatile
92 Israel 0 t 2013 — volatile
92 Lithuania 0 t 2013 — volatile
92 Luxembourg 0 t 2013 down 100.0% volatile
92 North Macedonia 0 t 2013 — volatile
92 Mauritania 0 t 2013 — volatile
92 Malawi 0 t 2013 down 100.0% volatile
92 Niger 0 t 2013 — volatile
92 Norway 0 t 2013 — volatile
92 Nepal 0 t 2013 down 100.0% volatile
92 Paraguay 0 t 2013 — volatile
92 Saudi Arabia 0 t 2013 down 100.0% volatile
92 Senegal 0 t 2013 — volatile
92 Slovenia 0 t 2013 — volatile
92 Ukraine 0 t 2013 — volatile
92 Zimbabwe 0 t 2013 down 100.0% volatile
92 USSR 0 t 1991 down 100.0% volatile
92 Serbia and Montenegro 0 t 2005 — volatile
92 Czechoslovakia 0 t 1992 — volatile
92 Russian Federation 0 t 2013 down 100.0% volatile
92 T�rkiye 0 t 2013 — volatile
92 Yugoslav SFR 0 t 1991 — volatile
92 China, Macao SAR 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.

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Copra Cake — Feed by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/copra-cake-feed/

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About this data

Indicator
Copra Cake — Feed
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
163 places, 8,069 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.