Statizoid

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
134
Highest
589,912 t
Republic of Korea
Lowest
-112 t
Paraguay
Median
191.5 t
Years covered
53
1961–2013
Data points
8,143

What the numbers show

Copra Cake — Domestic supply quantity is currently reported for 134 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 191.5 t, and the mean is 15,500 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 45 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
3 Viet Nam 277,138 t 2013 up 55.0% volatile
4 Indonesia 255,833 t 2013 up 64.6% volatile
5 China, mainland 129,046 t 2013 up 120,504.0% volatile
6 Belgium-Luxembourg 94,393 t 1999 up 28.2% volatile
7 Mexico 69,909 t 2013 up 6.7% rising
8 Philippines 55,501 t 2013 down 83.7% volatile
9 China, Taiwan Province of 35,070 t 2013 up 51.1% volatile
10 Malaysia 28,741 t 2013 up 43.2% falling
11 Sri Lanka 23,794 t 2013 up 797.5% volatile
12 Thailand 14,575 t 2013 down 50.9% volatile
13 C�te d'Ivoire 14,508 t 2013 up 20.2% volatile
14 Mozambique 14,130 t 2013 up 150.1% volatile
15 Japan 12,323 t 2013 down 37.2% falling
16 Australia and New Zealand 12,213 t 2013 down 71.4% volatile
17 Caribbean 12,194 t 2013 up 13.5% falling
18 Melanesia 11,139 t 2013 up 69.4% rising
19 Australia 9,791 t 2013 down 76.2% volatile
20 Venezuela (Bolivarian Republic of) 9,562 t 2013 up 38.0% volatile
21 Bangladesh 8,337 t 2013 down 40.2% volatile
22 Polynesia 6,817 t 2013 up 57.6% volatile
23 United Republic of Tanzania 6,652 t 2013 down 36.1% volatile
24 Poland 6,636 t 2013 — volatile
25 Nigeria 6,360 t 2013 up 29.8% rising
26 Pakistan 6,231 t 2013 up 22.3% volatile
27 Madagascar 6,139 t 2013 up 49.8% rising
28 Jamaica 6,125 t 2013 up 34.6% rising
29 Cambodia 5,998 t 2013 up 55.8% rising
30 Belgium 5,950 t 2013 down 88.8% volatile
31 Solomon Islands 5,850 t 2013 up 90.6% volatile
32 Ghana 4,968 t 2013 up 23.4% rising
33 Italy 4,514 t 2013 down 21.1% volatile
34 Dominican Republic 4,200 t 2013 unchanged volatile
35 Samoa 3,600 t 2013 up 88.5% volatile
36 Guinea-Bissau 3,307 t 2013 up 5.0% rising
37 French Polynesia 3,217 t 2013 up 33.2% volatile
38 Fiji 2,709 t 2013 down 10.4% volatile
39 Kenya 2,610 t 2013 down 31.3% volatile
40 Vanuatu 2,491 t 2013 up 507.6% volatile
41 New Zealand 2,422 t 2013 up 49.2% volatile
42 Sao Tome and Principe 1,547 t 2013 up 750.0% volatile
43 Kiribati 1,443 t 2013 down 8.0% volatile
43 Micronesia 1,443 t 2013 down 8.0% volatile
45 Brazil 1,399 t 2013 down 0.1% rising
46 Netherlands (Kingdom of the) 1,054 t 2013 down 99.3% volatile
47 France 991 t 2013 down 90.4% volatile
48 Ecuador 970 t 2013 up 8.7% volatile
49 Benin 910 t 2013 down 13.3% flat
50 Togo 843 t 2013 up 26.8% rising
51 Trinidad and Tobago 779 t 2013 up 15.2% volatile
52 Guinea 773 t 2013 up 10.4% rising
53 Nicaragua 755 t 2013 up 920.3% volatile
54 Iran (Islamic Republic of) 667 t 2013 — volatile
55 Suriname 604 t 2013 up 5.0% flat
56 El Salvador 593 t 2013 down 56.2% rising
57 Cameroon 578 t 2013 up 65.1% rising
58 Guyana 528 t 2013 down 43.3% falling
59 United Arab Emirates 391 t 2013 up 2,072.2% volatile
60 Saint Kitts and Nevis 311 t 2013 up 253.4% volatile
61 Eswatini 278 t 2013 down 34.1% volatile
62 Dominica 259 t 2013 up 0.4% volatile
63 United Kingdom of Great Britain and Northern Ireland 229 t 2013 down 99.2% volatile
64 China, Hong Kong SAR 224 t 2013 up 11,100.0% volatile
65 Timor-Leste 210 t 2013 up 100.0% rising
66 Grenada 205 t 2013 up 6.8% rising
66 Mali 205 t 2013 — volatile
68 Portugal 178 t 2013 down 96.4% volatile
69 Saint Vincent and the Grenadines 167 t 2013 down 25.4% volatile
70 Saint Lucia 148 t 2013 down 73.5% falling
71 Denmark 138 t 2013 up 25.5% volatile
72 Costa Rica 129 t 2013 up 120.6% volatile
73 Chile 112 t 2013 — volatile
74 Finland 101 t 2013 — volatile
75 New Caledonia 89 t 2013 up 29.0% volatile
76 Canada 56 t 2013 — volatile
77 Honduras 55 t 2013 down 85.4% volatile
78 Ethiopia 53 t 2013 down 32.9% volatile
79 Albania 49 t 2013 — volatile
80 Ireland 47 t 2013 down 99.5% volatile
81 Slovakia 22 t 2013 up 69.2% volatile
82 Spain 20 t 2013 down 99.9% volatile
83 Myanmar 17 t 2013 down 50.0% volatile
84 Iraq 15 t 2013 — volatile
85 Panama 13 t 2013 up 18.2% volatile
86 Czechia 10 t 2013 down 82.1% volatile
86 Romania 10 t 2013 — volatile
88 Morocco 9 t 2013 — volatile
89 Bulgaria 8 t 2013 up 900.0% volatile
90 Mauritius 7 t 2013 down 93.3% volatile
91 Maldives 5 t 2013 down 99.8% volatile
92 Latvia 4 t 2013 — volatile
92 Brunei Darussalam 4 t 2013 — volatile
94 Colombia 3 t 2013 — volatile
94 Germany 3 t 2013 down 99.9% volatile
94 Kazakhstan 3 t 2013 — volatile
94 Zambia 3 t 2013 — volatile
98 Switzerland 2 t 2013 — volatile
98 Uganda 2 t 2013 — volatile
100 Burkina Faso 1 t 2013 down 98.0% volatile
100 Rwanda 1 t 2013 — volatile
100 Sweden 1 t 2013 — volatile
103 Argentina 0 t 2013 — volatile
103 Austria 0 t 2013 down 100.0% volatile
103 Barbados 0 t 2013 — volatile
103 Botswana 0 t 2013 down 100.0% volatile
103 Cyprus 0 t 2013 — volatile
103 Georgia 0 t 2013 — volatile
103 Greece 0 t 2013 — volatile
103 Guatemala 0 t 2013 — volatile
103 Croatia 0 t 2013 — volatile
103 Hungary 0 t 2013 — volatile
103 Israel 0 t 2013 — volatile
103 Lithuania 0 t 2013 — volatile
103 Luxembourg 0 t 2013 down 100.0% volatile
103 North Macedonia 0 t 2013 — volatile
103 Mauritania 0 t 2013 — volatile
103 Malawi 0 t 2013 down 100.0% volatile
103 Niger 0 t 2013 — volatile
103 Norway 0 t 2013 — volatile
103 Nepal 0 t 2013 down 100.0% volatile
103 Saudi Arabia 0 t 2013 down 100.0% volatile
103 Senegal 0 t 2013 — volatile
103 Slovenia 0 t 2013 — volatile
103 Ukraine 0 t 2013 — volatile
103 Zimbabwe 0 t 2013 down 100.0% volatile
103 USSR 0 t 1991 down 100.0% volatile
103 Serbia and Montenegro 0 t 2005 — volatile
103 Czechoslovakia 0 t 1992 — volatile
103 Russian Federation 0 t 2013 down 100.0% volatile
103 T�rkiye 0 t 2013 — volatile
103 Yugoslav SFR 0 t 1991 — volatile
103 China, Macao SAR 0 t 2013 down 100.0% volatile
134 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.

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.