Palmkernel 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...
What the numbers show
Palmkernel Cake — Import Quantity is currently reported for 99 countries. The highest value is 1.63 million t in Australia and New Zealand; the lowest is 0 t in Brunei Darussalam.
The median across all reporting countries is 20 t, and the mean is 91,624 t.
Over the past decade 20 countries rose and 23 fell. The largest increase was in China, mainland (up 384,169.0%), and the largest decrease in Iran (Islamic Republic of) (down 100.0%).
Palmkernel Cake — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia and New Zealand | 1.63 million t | 2013 | up 888.9% | volatile |
| 2 | New Zealand | 1.60 million t | 2013 | up 3,585.2% | volatile |
| 3 | Netherlands (Kingdom of the) | 1.30 million t | 2013 | down 11.1% | volatile |
| 3 | Bolivia (Plurinational State of) | 1 t | 2013 | — | volatile |
| 4 | Republic of Korea | 871,082 t | 2013 | up 179.4% | volatile |
| 4 | Iran (Islamic Republic of) | 0 t | 2013 | down 100.0% | volatile |
| 4 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | down 100.0% | volatile |
| 4 | United Republic of Tanzania | 0 t | 2013 | — | volatile |
| 5 | China, mainland | 599,460 t | 2013 | up 384,169.0% | volatile |
| 6 | Poland | 542,058 t | 2013 | up 19,342.5% | volatile |
| 7 | United Kingdom of Great Britain and Northern Ireland | 533,659 t | 2013 | down 1.3% | volatile |
| 8 | Germany | 439,492 t | 2013 | down 15.3% | rising |
| 9 | Spain | 203,045 t | 2013 | up 114.1% | volatile |
| 10 | Ireland | 197,658 t | 2013 | up 122.3% | volatile |
| 11 | Belgium | 179,566 t | 2013 | up 47.9% | rising |
| 12 | Saudi Arabia | 136,193 t | 2013 | — | volatile |
| 13 | Japan | 131,224 t | 2013 | up 3,227.2% | volatile |
| 14 | T�rkiye | 120,177 t | 2013 | — | volatile |
| 15 | Portugal | 95,779 t | 2013 | up 46.2% | volatile |
| 16 | France | 77,862 t | 2013 | down 25.7% | volatile |
| 17 | Belgium-Luxembourg | 68,186 t | 1999 | down 21.7% | volatile |
| 18 | China, Taiwan Province of | 66,358 t | 2013 | up 1,787.3% | volatile |
| 19 | Thailand | 44,886 t | 2013 | — | volatile |
| 20 | Sweden | 43,910 t | 2013 | down 37.7% | volatile |
| 21 | Pakistan | 42,299 t | 2013 | — | volatile |
| 22 | South Africa | 37,783 t | 2013 | up 568.5% | volatile |
| 23 | Australia | 31,173 t | 2013 | down 74.3% | volatile |
| 23 | Caribbean | 119 t | 2013 | up 230.6% | volatile |
| 24 | Denmark | 20,365 t | 2013 | up 2,257.1% | volatile |
| 25 | Philippines | 15,149 t | 2013 | — | volatile |
| 25 | Cabo Verde | 37 t | 2013 | — | volatile |
| 26 | El Salvador | 11,083 t | 2013 | — | volatile |
| 27 | Malaysia | 8,903 t | 2013 | down 36.0% | volatile |
| 28 | Costa Rica | 6,062 t | 2013 | down 13.0% | volatile |
| 29 | Oman | 3,840 t | 2013 | — | volatile |
| 30 | Nicaragua | 3,074 t | 2013 | — | volatile |
| 31 | India | 3,034 t | 2013 | down 63.3% | volatile |
| 32 | Mexico | 2,534 t | 2013 | up 98.3% | volatile |
| 33 | Panama | 2,096 t | 2013 | — | volatile |
| 34 | Colombia | 1,504 t | 2013 | down 39.8% | volatile |
| 35 | Luxembourg | 1,241 t | 2013 | up 41.5% | rising |
| 36 | Kuwait | 1,101 t | 2013 | — | volatile |
| 37 | Czechia | 962 t | 2013 | — | volatile |
| 38 | Lebanon | 565 t | 2013 | up 1,214.0% | volatile |
| 39 | United Arab Emirates | 523 t | 2013 | up 371.2% | volatile |
| 40 | Austria | 303 t | 2013 | down 92.5% | volatile |
| 41 | Rwanda | 241 t | 2013 | — | volatile |
| 42 | Hungary | 168 t | 2013 | — | volatile |
| 43 | Cuba | 119 t | 2013 | up 230.6% | volatile |
| 44 | Finland | 115 t | 2013 | down 97.9% | volatile |
| 45 | Sri Lanka | 99 t | 2013 | down 65.3% | volatile |
| 46 | Romania | 65 t | 2013 | up 1,525.0% | volatile |
| 47 | Namibia | 33 t | 2013 | — | volatile |
| 48 | Morocco | 20 t | 2013 | — | volatile |
| 49 | Bulgaria | 15 t | 2013 | — | volatile |
| 50 | Canada | 14 t | 2013 | down 97.3% | volatile |
| 51 | Gambia | 11 t | 2013 | — | volatile |
| 52 | Peru | 8 t | 2013 | — | volatile |
| 53 | Zambia | 1 t | 2013 | — | volatile |
| 54 | Albania | 0 t | 2013 | — | volatile |
| 54 | Benin | 0 t | 2013 | — | volatile |
| 54 | Burkina Faso | 0 t | 2013 | — | volatile |
| 54 | Bangladesh | 0 t | 2013 | — | volatile |
| 54 | Brazil | 0 t | 2013 | down 100.0% | volatile |
| 54 | Botswana | 0 t | 2013 | — | volatile |
| 54 | Switzerland | 0 t | 2013 | — | volatile |
| 54 | Chile | 0 t | 2013 | — | volatile |
| 54 | Congo | 0 t | 2013 | — | volatile |
| 54 | Algeria | 0 t | 2013 | down 100.0% | volatile |
| 54 | Ecuador | 0 t | 2013 | — | volatile |
| 54 | Egypt | 0 t | 2013 | — | volatile |
| 54 | Estonia | 0 t | 2013 | — | volatile |
| 54 | Ghana | 0 t | 2013 | — | volatile |
| 54 | Greece | 0 t | 2013 | — | volatile |
| 54 | Honduras | 0 t | 2013 | — | volatile |
| 54 | Croatia | 0 t | 2013 | down 100.0% | volatile |
| 54 | Indonesia | 0 t | 2013 | — | volatile |
| 54 | Israel | 0 t | 2013 | — | volatile |
| 54 | Italy | 0 t | 2013 | down 100.0% | volatile |
| 54 | Jordan | 0 t | 2013 | — | volatile |
| 54 | Kenya | 0 t | 2013 | — | volatile |
| 54 | Lithuania | 0 t | 2013 | — | volatile |
| 54 | Latvia | 0 t | 2013 | — | volatile |
| 54 | Madagascar | 0 t | 2013 | — | volatile |
| 54 | North Macedonia | 0 t | 2013 | — | volatile |
| 54 | Mali | 0 t | 2013 | — | volatile |
| 54 | Mauritius | 0 t | 2013 | — | volatile |
| 54 | Malawi | 0 t | 2013 | — | volatile |
| 54 | Nigeria | 0 t | 2013 | — | volatile |
| 54 | Nepal | 0 t | 2013 | — | volatile |
| 54 | Slovakia | 0 t | 2013 | — | volatile |
| 54 | Slovenia | 0 t | 2013 | — | volatile |
| 54 | Togo | 0 t | 2013 | down 100.0% | volatile |
| 54 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 54 | Tunisia | 0 t | 2013 | — | volatile |
| 54 | Zimbabwe | 0 t | 2013 | — | volatile |
| 54 | Czechoslovakia | 0 t | 1992 | — | volatile |
| 54 | China, Hong Kong SAR | 0 t | 2013 | — | volatile |
| 54 | Brunei Darussalam | 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.
- World 7.37 million t
- Asia 2.04 million t
- Europe 3.64 million t
- Land Locked Developing Countries 243 t
- European Union (27) 3.10 million t
- Western Europe 2.00 million t
- Middle Africa 0 t
- Eastern Asia 1.67 million t
- Oceania 1.63 million t
- Northern Europe 795,707 t
- Eastern Europe 543,268 t
- Southern Europe 298,824 t
- Western Asia 262,399 t
- South-Eastern Asia 68,938 t
- Net Food Importing Developing Countries 53,914 t
- Low Income Food Deficit Countries 48,659 t
- Southern Asia 45,432 t
- Africa 38,126 t
- Southern Africa 37,816 t
- Americas 26,495 t
- Central America 24,849 t
- South America 1,513 t
- Least developed countries 253 t
- Eastern Africa 242 t
- Small Island Developing States 156 t
- Western Africa 48 t
- Northern Africa 20 t
- Northern America 14 t
- United States of America 0 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.