Copra Cake — 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
135
Highest
589,912 t
Republic of Korea
Lowest
-112 t
Paraguay
Median
205 t
Years covered
53
1961–2013
Data points
8,143

What the numbers show

Copra Cake — Domestic supply quantity is currently reported for 135 countries. The highest value is 589,912 t in Republic of Korea; the lowest is -112 t in Paraguay.

The median across all reporting countries is 205 t, and the mean is 15,405 t.

The gap between the highest and lowest reporting country is a factor of about 5,267.

Over the past decade 47 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 — Domestic supply quantity: 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 12,194 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 311 t 2013 up 253.4% 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 Denmark 138 t 2013 up 25.5% volatile
64 Costa Rica 129 t 2013 up 120.6% volatile
65 Chile 112 t 2013 — volatile
66 Finland 101 t 2013 — volatile
67 New Caledonia 89 t 2013 up 29.0% volatile
68 Canada 56 t 2013 — volatile
69 Honduras 55 t 2013 down 85.4% volatile
70 Ethiopia 53 t 2013 down 32.9% volatile
71 Albania 49 t 2013 — volatile
72 Ireland 47 t 2013 down 99.5% volatile
73 Slovakia 22 t 2013 up 69.2% volatile
74 Spain 20 t 2013 down 99.9% volatile
75 Myanmar 17 t 2013 down 50.0% volatile
76 Iraq 15 t 2013 — volatile
77 Panama 13 t 2013 up 18.2% volatile
78 Czechia 10 t 2013 down 82.1% volatile
78 Romania 10 t 2013 — volatile
80 Morocco 9 t 2013 — volatile
81 Bulgaria 8 t 2013 up 900.0% volatile
82 Mauritius 7 t 2013 down 93.3% volatile
83 Maldives 5 t 2013 down 99.8% volatile
84 Latvia 4 t 2013 — volatile
84 Brunei Darussalam 4 t 2013 — volatile
86 Colombia 3 t 2013 — volatile
86 Germany 3 t 2013 down 99.9% volatile
86 Kazakhstan 3 t 2013 — volatile
86 Zambia 3 t 2013 — volatile
90 Switzerland 2 t 2013 — volatile
90 Uganda 2 t 2013 — volatile
92 Burkina Faso 1 t 2013 down 98.0% volatile
92 Rwanda 1 t 2013 — volatile
92 Sweden 1 t 2013 — volatile
95 Argentina 0 t 2013 — volatile
95 Austria 0 t 2013 down 100.0% volatile
95 Barbados 0 t 2013 — volatile
95 Botswana 0 t 2013 down 100.0% volatile
95 Cyprus 0 t 2013 — volatile
95 Georgia 0 t 2013 — volatile
95 Greece 0 t 2013 — volatile
95 Guatemala 0 t 2013 — volatile
95 Croatia 0 t 2013 — volatile
95 Hungary 0 t 2013 — volatile
95 Israel 0 t 2013 — volatile
95 Lithuania 0 t 2013 — volatile
95 Luxembourg 0 t 2013 down 100.0% volatile
95 North Macedonia 0 t 2013 — volatile
95 Mauritania 0 t 2013 — volatile
95 Malawi 0 t 2013 down 100.0% volatile
95 Niger 0 t 2013 — volatile
95 Norway 0 t 2013 — volatile
95 Nepal 0 t 2013 down 100.0% volatile
95 Saudi Arabia 0 t 2013 down 100.0% volatile
95 Senegal 0 t 2013 — volatile
95 Slovenia 0 t 2013 — volatile
95 Ukraine 0 t 2013 — volatile
95 Zimbabwe 0 t 2013 down 100.0% volatile
95 USSR 0 t 1991 down 100.0% volatile
95 Serbia and Montenegro 0 t 2005 — volatile
95 Czechoslovakia 0 t 1992 — volatile
95 Russian Federation 0 t 2013 down 100.0% volatile
95 T�rkiye 0 t 2013 — volatile
95 Yugoslav SFR 0 t 1991 — volatile
95 China, Macao SAR 0 t 2013 down 100.0% volatile
126 Paraguay -112 t 2013 — 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 — 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/copra-cake-domestic-supply-quantity/

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About this data

Indicator
Copra Cake — Domestic supply quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
165 places, 8,143 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.