Groundnut 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
Groundnut Cake — Import Quantity is currently reported for 122 countries. The highest value is 34,095 t in Belgium-Luxembourg; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0 t, and the mean is 1,197 t.
Over the past decade 13 countries rose and 35 fell. The largest increase was in Norway (up 22,291.3%), and the largest decrease in Albania (down 100.0%).
Groundnut Cake — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Belgium-Luxembourg | 34,095 t | 1999 | up 115.8% | falling |
| 2 | China, mainland | 26,740 t | 2013 | — | volatile |
| 3 | France | 17,023 t | 2013 | down 63.9% | volatile |
| 4 | Chile | 14,107 t | 2013 | up 98.0% | volatile |
| 5 | China, Taiwan Province of | 9,330 t | 2013 | up 61.2% | volatile |
| 6 | Honduras | 7,837 t | 2013 | up 218.2% | volatile |
| 7 | Guatemala | 6,077 t | 2013 | up 2,577.1% | volatile |
| 8 | Norway | 5,150 t | 2013 | up 22,291.3% | volatile |
| 9 | El Salvador | 4,173 t | 2013 | down 23.0% | volatile |
| 10 | Belgium | 3,886 t | 2013 | down 58.6% | volatile |
| 11 | Germany | 3,853 t | 2013 | up 43.1% | volatile |
| 12 | Mexico | 3,333 t | 2013 | down 33.9% | volatile |
| 13 | Canada | 2,156 t | 2013 | down 68.5% | volatile |
| 14 | Mauritania | 1,462 t | 2013 | down 17.6% | volatile |
| 15 | Netherlands (Kingdom of the) | 1,241 t | 2013 | down 69.3% | volatile |
| 16 | Dominican Republic | 700 t | 2013 | up 16.7% | volatile |
| 16 | Caribbean | 700 t | 2013 | up 16.7% | volatile |
| 16 | China, Hong Kong SAR | 700 t | 2013 | up 22.8% | volatile |
| 19 | Malaysia | 560 t | 2013 | up 2,566.7% | volatile |
| 20 | Jordan | 482 t | 2013 | — | volatile |
| 21 | United Arab Emirates | 406 t | 2013 | — | volatile |
| 22 | Czechoslovakia | 400 t | 1992 | down 99.1% | volatile |
| 23 | Rwanda | 277 t | 2013 | — | volatile |
| 24 | India | 196 t | 2013 | down 46.6% | volatile |
| 25 | Serbia and Montenegro | 193 t | 2005 | — | volatile |
| 26 | Costa Rica | 145 t | 2013 | — | volatile |
| 27 | Peru | 130 t | 2013 | — | volatile |
| 28 | Sri Lanka | 125 t | 2013 | — | volatile |
| 29 | Mali | 108 t | 2013 | — | volatile |
| 30 | Yugoslav SFR | 70 t | 1991 | — | volatile |
| 31 | Eswatini | 66 t | 2013 | down 30.5% | volatile |
| 32 | Japan | 51 t | 2013 | down 82.9% | volatile |
| 33 | Burkina Faso | 40 t | 2013 | — | volatile |
| 33 | Saudi Arabia | 40 t | 2013 | down 60.4% | volatile |
| 35 | Niger | 35 t | 2013 | down 62.8% | volatile |
| 35 | Republic of Korea | 35 t | 2013 | — | volatile |
| 37 | Mozambique | 26 t | 2013 | down 42.2% | volatile |
| 38 | Mauritius | 18 t | 2013 | — | volatile |
| 39 | Ireland | 13 t | 2013 | up 18.2% | volatile |
| 40 | Guinea | 10 t | 2013 | — | volatile |
| 41 | Sweden | 7 t | 2013 | — | volatile |
| 42 | Spain | 6 t | 2013 | up 50.0% | volatile |
| 43 | Philippines | 2 t | 2013 | down 33.3% | volatile |
| 44 | Gabon | 1 t | 2013 | down 99.9% | volatile |
| 44 | United Kingdom of Great Britain and Northern Ireland | 1 t | 2013 | down 99.9% | volatile |
| 46 | Albania | 0 t | 2013 | down 100.0% | volatile |
| 46 | Argentina | 0 t | 2013 | — | volatile |
| 46 | Austria | 0 t | 2013 | — | volatile |
| 46 | Benin | 0 t | 2013 | down 100.0% | volatile |
| 46 | Bangladesh | 0 t | 2013 | down 100.0% | volatile |
| 46 | Bulgaria | 0 t | 2013 | — | volatile |
| 46 | Brazil | 0 t | 2013 | down 100.0% | volatile |
| 46 | Botswana | 0 t | 2013 | down 100.0% | volatile |
| 46 | Switzerland | 0 t | 2013 | — | volatile |
| 46 | Cameroon | 0 t | 2013 | — | volatile |
| 46 | Congo | 0 t | 2013 | — | volatile |
| 46 | Colombia | 0 t | 2013 | — | volatile |
| 46 | Cyprus | 0 t | 2013 | — | volatile |
| 46 | Czechia | 0 t | 2013 | — | volatile |
| 46 | Djibouti | 0 t | 2013 | — | volatile |
| 46 | Denmark | 0 t | 2013 | down 100.0% | volatile |
| 46 | Algeria | 0 t | 2013 | — | volatile |
| 46 | Ecuador | 0 t | 2013 | — | volatile |
| 46 | Egypt | 0 t | 2013 | — | volatile |
| 46 | Estonia | 0 t | 2013 | — | volatile |
| 46 | Ethiopia | 0 t | 2013 | — | volatile |
| 46 | Finland | 0 t | 2013 | — | volatile |
| 46 | Fiji | 0 t | 2013 | — | volatile |
| 46 | Georgia | 0 t | 2013 | — | volatile |
| 46 | Ghana | 0 t | 2013 | down 100.0% | volatile |
| 46 | Greece | 0 t | 2013 | down 100.0% | volatile |
| 46 | Guyana | 0 t | 2013 | — | volatile |
| 46 | Hungary | 0 t | 2013 | — | volatile |
| 46 | Indonesia | 0 t | 2013 | down 100.0% | volatile |
| 46 | Israel | 0 t | 2013 | — | volatile |
| 46 | Italy | 0 t | 2013 | — | volatile |
| 46 | Jamaica | 0 t | 2013 | — | volatile |
| 46 | Kazakhstan | 0 t | 2013 | — | volatile |
| 46 | Kenya | 0 t | 2013 | — | volatile |
| 46 | Cambodia | 0 t | 2013 | — | volatile |
| 46 | Saint Kitts and Nevis | 0 t | 2013 | — | volatile |
| 46 | Lebanon | 0 t | 2013 | — | volatile |
| 46 | Liberia | 0 t | 2013 | — | volatile |
| 46 | Latvia | 0 t | 2013 | — | volatile |
| 46 | Morocco | 0 t | 2013 | — | volatile |
| 46 | North Macedonia | 0 t | 2013 | — | volatile |
| 46 | Malta | 0 t | 2013 | — | volatile |
| 46 | Malawi | 0 t | 2013 | down 100.0% | volatile |
| 46 | Namibia | 0 t | 2013 | down 100.0% | volatile |
| 46 | Nigeria | 0 t | 2013 | down 100.0% | volatile |
| 46 | Nicaragua | 0 t | 2013 | — | volatile |
| 46 | Nepal | 0 t | 2013 | down 100.0% | volatile |
| 46 | New Zealand | 0 t | 2013 | — | volatile |
| 46 | Oman | 0 t | 2013 | down 100.0% | volatile |
| 46 | Pakistan | 0 t | 2013 | — | volatile |
| 46 | Poland | 0 t | 2013 | — | volatile |
| 46 | Portugal | 0 t | 2013 | — | volatile |
| 46 | Romania | 0 t | 2013 | — | volatile |
| 46 | Senegal | 0 t | 2013 | — | volatile |
| 46 | Slovakia | 0 t | 2013 | — | volatile |
| 46 | Togo | 0 t | 2013 | down 100.0% | volatile |
| 46 | Thailand | 0 t | 2013 | down 100.0% | volatile |
| 46 | Uganda | 0 t | 2013 | — | volatile |
| 46 | Ukraine | 0 t | 2013 | — | volatile |
| 46 | Uruguay | 0 t | 2013 | — | volatile |
| 46 | Yemen | 0 t | 2013 | — | volatile |
| 46 | Zambia | 0 t | 2013 | — | volatile |
| 46 | Zimbabwe | 0 t | 2013 | — | volatile |
| 46 | USSR | 0 t | 1991 | down 100.0% | volatile |
| 46 | Sudan (former) | 0 t | 2011 | — | volatile |
| 46 | Cabo Verde | 0 t | 2013 | — | volatile |
| 46 | Melanesia | 0 t | 2013 | — | volatile |
| 46 | Iran (Islamic Republic of) | 0 t | 2013 | — | volatile |
| 46 | Russian Federation | 0 t | 2013 | — | volatile |
| 46 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 46 | Australia and New Zealand | 0 t | 2013 | — | volatile |
| 46 | United Republic of Tanzania | 0 t | 2013 | down 100.0% | volatile |
| 46 | Brunei Darussalam | 0 t | 2013 | — | volatile |
| 46 | C�te d'Ivoire | 0 t | 2013 | — | volatile |
| 46 | Democratic People's Republic of Korea | 0 t | 2013 | — | volatile |
| 46 | T�rkiye | 0 t | 2013 | — | volatile |
| 46 | 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 111,953 t
- Americas 40,060 t
- Asia 38,667 t
- Eastern Asia 36,856 t
- Europe 31,180 t
- European Union (27) 26,029 t
- Western Europe 26,003 t
- Central America 21,565 t
- Net Food Importing Developing Countries 15,490 t
- South America 14,237 t
- Northern Europe 5,171 t
- Northern America 3,558 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.