Statizoid

Copra Cake — Import 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
105
Highest
589,535 t
Republic of Korea
Lowest
0 t
China, Macao SAR
Median
2 t
Years covered
53
1961–2013
Data points
6,618

What the numbers show

Copra Cake — Import Quantity is currently reported for 105 countries. The highest value is 589,535 t in Republic of Korea; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 2 t, and the mean is 10,700 t.

Over the past decade 12 countries rose and 31 fell. The largest increase was in China, mainland (up 120,504.0%), and the largest decrease in Austria (down 100.0%).

Copra Cake — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Republic of Korea 589,535 t 2013 up 61.0% volatile
2 Viet Nam 192,500 t 2013 up 94.2% volatile
3 China, mainland 129,046 t 2013 up 120,504.0% volatile
4 Belgium-Luxembourg 79,305 t 1999 up 2.3% volatile
5 China, Taiwan Province of 35,070 t 2013 up 51.1% volatile
6 India 27,219 t 2013 down 61.4% volatile
7 Japan 13,893 t 2013 down 29.2% volatile
8 Australia and New Zealand 12,215 t 2013 down 71.4% volatile
9 Australia 9,788 t 2013 down 76.2% volatile
10 Belgium 7,275 t 2013 down 87.4% volatile
11 Poland 6,475 t 2013 — volatile
12 Netherlands (Kingdom of the) 5,920 t 2013 down 96.8% volatile
13 Italy 4,386 t 2013 down 35.0% volatile
14 New Zealand 2,427 t 2013 up 49.4% volatile
15 Madagascar 1,752 t 2013 — volatile
16 Indonesia 1,330 t 2013 down 39.5% volatile
17 France 938 t 2013 down 90.9% volatile
18 Nicaragua 723 t 2013 up 1,506.7% volatile
19 Iran (Islamic Republic of) 667 t 2013 — volatile
20 Malaysia 605 t 2013 up 228.8% volatile
21 United Arab Emirates 395 t 2013 up 2,094.4% volatile
22 Philippines 300 t 2013 — volatile
23 Eswatini 278 t 2013 down 76.8% volatile
24 United Kingdom of Great Britain and Northern Ireland 249 t 2013 down 99.1% volatile
25 Mali 205 t 2013 — volatile
26 Portugal 178 t 2013 down 96.4% volatile
27 Denmark 114 t 2013 — volatile
28 Chile 112 t 2013 — volatile
29 Finland 101 t 2013 — volatile
30 Canada 59 t 2013 — volatile
31 Ethiopia 53 t 2013 down 32.9% volatile
32 Nigeria 51 t 2013 — volatile
33 Albania 49 t 2013 — volatile
34 Ireland 42 t 2013 down 99.5% volatile
35 New Caledonia 40 t 2013 up 60.0% volatile
35 Melanesia 40 t 2013 up 60.0% volatile
37 Caribbean 36 t 2013 down 73.9% volatile
38 Slovakia 22 t 2013 up 69.2% volatile
39 Saint Kitts and Nevis 13 t 2013 — volatile
40 Saint Lucia 12 t 2013 down 68.4% volatile
41 Trinidad and Tobago 11 t 2013 down 89.0% volatile
42 Czechia 10 t 2013 down 82.1% volatile
42 Romania 10 t 2013 — volatile
44 Morocco 9 t 2013 — volatile
44 Mexico 9 t 2013 — volatile
46 Bulgaria 8 t 2013 — volatile
47 Germany 6 t 2013 down 89.1% volatile
48 Latvia 4 t 2013 — volatile
48 Brunei Darussalam 4 t 2013 — volatile
50 Colombia 3 t 2013 — volatile
50 Kazakhstan 3 t 2013 — volatile
50 Zambia 3 t 2013 — volatile
53 Switzerland 2 t 2013 — volatile
53 Uganda 2 t 2013 — volatile
53 United Republic of Tanzania 2 t 2013 — volatile
56 Burkina Faso 1 t 2013 down 98.0% volatile
56 Rwanda 1 t 2013 — volatile
56 Sweden 1 t 2013 — volatile
59 Argentina 0 t 2013 — volatile
59 Austria 0 t 2013 down 100.0% volatile
59 Brazil 0 t 2013 — volatile
59 Barbados 0 t 2013 — volatile
59 Botswana 0 t 2013 down 100.0% volatile
59 Costa Rica 0 t 2013 — volatile
59 Cyprus 0 t 2013 — volatile
59 Ecuador 0 t 2013 — volatile
59 Spain 0 t 2013 down 100.0% volatile
59 Fiji 0 t 2013 — volatile
59 Georgia 0 t 2013 — volatile
59 Ghana 0 t 2013 — volatile
59 Greece 0 t 2013 — volatile
59 Grenada 0 t 2013 — volatile
59 Guatemala 0 t 2013 — volatile
59 Guyana 0 t 2013 — volatile
59 Honduras 0 t 2013 down 100.0% volatile
59 Croatia 0 t 2013 — volatile
59 Hungary 0 t 2013 — volatile
59 Kenya 0 t 2013 — volatile
59 Sri Lanka 0 t 2013 down 100.0% volatile
59 Lithuania 0 t 2013 — volatile
59 Luxembourg 0 t 2013 down 100.0% volatile
59 North Macedonia 0 t 2013 — volatile
59 Mauritania 0 t 2013 — volatile
59 Mauritius 0 t 2013 — volatile
59 Malawi 0 t 2013 down 100.0% volatile
59 Niger 0 t 2013 — volatile
59 Norway 0 t 2013 — volatile
59 Nepal 0 t 2013 — volatile
59 Pakistan 0 t 2013 — volatile
59 Paraguay 0 t 2013 — volatile
59 French Polynesia 0 t 2013 — volatile
59 Saudi Arabia 0 t 2013 down 100.0% volatile
59 Senegal 0 t 2013 — volatile
59 El Salvador 0 t 2013 down 100.0% volatile
59 Slovenia 0 t 2013 — volatile
59 Thailand 0 t 2013 — volatile
59 Ukraine 0 t 2013 — volatile
59 Zimbabwe 0 t 2013 down 100.0% volatile
59 Serbia and Montenegro 0 t 2005 — volatile
59 Polynesia 0 t 2013 — volatile
59 China, Hong Kong SAR 0 t 2013 — volatile
59 Russian Federation 0 t 2013 — volatile
59 Venezuela (Bolivarian Republic of) 0 t 2013 — volatile
59 C�te d'Ivoire 0 t 2013 — volatile
59 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.

About this data

Indicator
Copra Cake — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
135 places, 6,618 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.