Copra Cake — Export 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...
What the numbers show
Copra Cake — Export Quantity is currently reported for 82 countries. The highest value is 785,945 t in Philippines; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0 t, and the mean is 13,169 t.
Over the past decade 8 countries rose and 28 fell. The largest increase was in Thailand (up 3,258.0%), and the largest decrease in Bulgaria (down 100.0%).
Copra Cake — Export Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Philippines | 785,945 t | 2013 | up 54.8% | rising |
| 2 | Indonesia | 256,392 t | 2013 | down 5.4% | rising |
| 3 | Belgium-Luxembourg | 6,675 t | 1999 | up 72.1% | volatile |
| 4 | Netherlands (Kingdom of the) | 4,866 t | 2013 | down 87.3% | volatile |
| 5 | Melanesia | 4,244 t | 2013 | down 4.7% | volatile |
| 6 | Vanuatu | 4,243 t | 2013 | down 0.1% | volatile |
| 7 | Sri Lanka | 3,806 t | 2013 | up 76.1% | volatile |
| 8 | Malaysia | 2,064 t | 2013 | down 26.7% | volatile |
| 9 | Mozambique | 1,970 t | 2013 | down 78.7% | volatile |
| 10 | Thailand | 1,679 t | 2013 | up 3,258.0% | volatile |
| 11 | C�te d'Ivoire | 1,587 t | 2013 | up 22.5% | volatile |
| 12 | Japan | 1,570 t | 2013 | — | volatile |
| 13 | Belgium | 1,325 t | 2013 | down 80.4% | volatile |
| 14 | India | 709 t | 2013 | up 47.1% | volatile |
| 15 | Kiribati | 644 t | 2013 | — | volatile |
| 15 | Micronesia | 644 t | 2013 | — | volatile |
| 17 | French Polynesia | 372 t | 2013 | down 2.6% | volatile |
| 17 | Polynesia | 372 t | 2013 | down 61.7% | volatile |
| 19 | Honduras | 299 t | 2013 | up 79.0% | volatile |
| 20 | Spain | 180 t | 2013 | down 96.3% | volatile |
| 21 | Paraguay | 112 t | 2013 | — | volatile |
| 22 | Viet Nam | 66 t | 2013 | down 95.6% | volatile |
| 23 | Germany | 28 t | 2013 | down 99.3% | volatile |
| 24 | United Kingdom of Great Britain and Northern Ireland | 20 t | 2013 | down 94.0% | volatile |
| 25 | Australia and New Zealand | 14 t | 2013 | down 64.1% | volatile |
| 26 | Madagascar | 13 t | 2013 | — | volatile |
| 27 | Italy | 12 t | 2013 | down 50.0% | volatile |
| 28 | Australia | 9 t | 2013 | down 76.3% | volatile |
| 29 | Costa Rica | 7 t | 2013 | down 99.1% | volatile |
| 30 | New Zealand | 5 t | 2013 | up 400.0% | volatile |
| 31 | United Arab Emirates | 4 t | 2013 | — | volatile |
| 31 | France | 4 t | 2013 | — | volatile |
| 33 | Canada | 3 t | 2013 | — | volatile |
| 34 | Denmark | 2 t | 2013 | — | volatile |
| 34 | Guyana | 2 t | 2013 | down 99.1% | volatile |
| 36 | Dominica | 1 t | 2013 | down 50.0% | volatile |
| 36 | Fiji | 1 t | 2013 | down 97.1% | volatile |
| 36 | Caribbean | 1 t | 2013 | down 50.0% | volatile |
| 39 | Austria | 0 t | 2013 | — | volatile |
| 39 | Benin | 0 t | 2013 | — | volatile |
| 39 | Bangladesh | 0 t | 2013 | — | volatile |
| 39 | Bulgaria | 0 t | 2013 | down 100.0% | volatile |
| 39 | Brazil | 0 t | 2013 | — | volatile |
| 39 | Barbados | 0 t | 2013 | — | volatile |
| 39 | Switzerland | 0 t | 2013 | — | volatile |
| 39 | Cameroon | 0 t | 2013 | — | volatile |
| 39 | Czechia | 0 t | 2013 | — | volatile |
| 39 | Dominican Republic | 0 t | 2013 | — | volatile |
| 39 | Ghana | 0 t | 2013 | — | volatile |
| 39 | Guinea | 0 t | 2013 | — | volatile |
| 39 | Grenada | 0 t | 2013 | — | volatile |
| 39 | Guatemala | 0 t | 2013 | — | volatile |
| 39 | Ireland | 0 t | 2013 | down 100.0% | volatile |
| 39 | Jamaica | 0 t | 2013 | — | volatile |
| 39 | Kenya | 0 t | 2013 | — | volatile |
| 39 | Saint Lucia | 0 t | 2013 | — | volatile |
| 39 | Morocco | 0 t | 2013 | — | volatile |
| 39 | Mexico | 0 t | 2013 | — | volatile |
| 39 | Mali | 0 t | 2013 | — | volatile |
| 39 | Myanmar | 0 t | 2013 | — | volatile |
| 39 | Nigeria | 0 t | 2013 | — | volatile |
| 39 | Nicaragua | 0 t | 2013 | — | volatile |
| 39 | Norway | 0 t | 2013 | — | volatile |
| 39 | Nepal | 0 t | 2013 | down 100.0% | volatile |
| 39 | Pakistan | 0 t | 2013 | — | volatile |
| 39 | Panama | 0 t | 2013 | — | volatile |
| 39 | Portugal | 0 t | 2013 | — | volatile |
| 39 | Solomon Islands | 0 t | 2013 | down 100.0% | volatile |
| 39 | El Salvador | 0 t | 2013 | — | volatile |
| 39 | Suriname | 0 t | 2013 | — | volatile |
| 39 | Sweden | 0 t | 2013 | — | volatile |
| 39 | Eswatini | 0 t | 2013 | down 100.0% | volatile |
| 39 | Togo | 0 t | 2013 | — | volatile |
| 39 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 39 | Saint Vincent and the Grenadines | 0 t | 2013 | — | volatile |
| 39 | Samoa | 0 t | 2013 | down 100.0% | volatile |
| 39 | China, Hong Kong SAR | 0 t | 2013 | — | volatile |
| 39 | Republic of Korea | 0 t | 2013 | — | volatile |
| 39 | China, mainland | 0 t | 2013 | — | volatile |
| 39 | United Republic of Tanzania | 0 t | 2013 | down 100.0% | volatile |
| 39 | China, Taiwan Province of | 0 t | 2013 | — | volatile |
| 39 | China, Macao SAR | 0 t | 2013 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1.07 million t
- Asia 1.05 million t
- South-eastern Asia 1.05 million t
- Net Food Importing Developing Countries 12,563 t
- Least Developed Countries 6,870 t
- Europe 6,437 t
- European Union (27) 6,417 t
- Western Europe 6,223 t
- Oceania 5,274 t
- Small Island Developing States 5,263 t
- Southern Asia 4,515 t
- Low Income Food Deficit Countries 4,279 t
About this data
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.