Groundnut Cake — Production 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 — Production is currently reported for 99 countries. The highest value is 2.91 million t in China, mainland; the lowest is 0 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 3,099 t, and the mean is 74,957 t.
Over the past decade 51 countries rose and 37 fell. The largest increase was in Bolivia (Plurinational State of) (up 90,800.0%), and the largest decrease in Uzbekistan (down 100.0%).
Groundnut Cake — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 2.91 million t | 2013 | up 0.5% | volatile |
| 2 | India | 1.64 million t | 2013 | down 32.6% | rising |
| 3 | Nigeria | 1.05 million t | 2013 | up 73.6% | volatile |
| 4 | Myanmar | 304,700 t | 2013 | up 98.3% | rising |
| 5 | Senegal | 140,400 t | 2013 | up 8.3% | falling |
| 6 | Sudan (former) | 119,753 t | 2011 | down 22.9% | volatile |
| 7 | Mali | 115,908 t | 2013 | up 178.3% | rising |
| 8 | Guinea | 93,555 t | 2013 | up 52.6% | volatile |
| 9 | Brazil | 87,688 t | 2013 | up 204.6% | volatile |
| 10 | Netherlands (Kingdom of the) | 80,861 t | 2013 | up 34.6% | volatile |
| 11 | Ghana | 78,162 t | 2013 | down 27.5% | volatile |
| 12 | Argentina | 75,514 t | 2013 | up 26.5% | falling |
| 13 | Cameroon | 64,600 t | 2013 | up 893.8% | volatile |
| 14 | Chad | 51,276 t | 2013 | up 16.8% | volatile |
| 15 | Malawi | 51,000 t | 2013 | up 129.7% | volatile |
| 16 | Viet Nam | 37,960 t | 2013 | down 16.3% | volatile |
| 17 | Angola | 37,801 t | 2013 | up 227.9% | volatile |
| 18 | Niger | 36,400 t | 2013 | up 21.3% | volatile |
| 19 | Indonesia | 29,929 t | 2013 | up 8.6% | rising |
| 20 | Thailand | 28,075 t | 2013 | up 85.5% | volatile |
| 21 | Nicaragua | 25,400 t | 2013 | up 84.1% | volatile |
| 22 | Gambia | 25,119 t | 2013 | down 7.1% | rising |
| 23 | Egypt | 23,000 t | 2013 | down 23.3% | volatile |
| 24 | Algeria | 21,781 t | 2013 | up 0.3% | volatile |
| 25 | Pakistan | 21,019 t | 2013 | down 15.8% | rising |
| 26 | Uganda | 19,988 t | 2013 | up 56.8% | rising |
| 27 | Ethiopia PDR | 17,490 t | 1992 | up 73.7% | volatile |
| 28 | Zimbabwe | 17,000 t | 2013 | up 161.5% | volatile |
| 29 | Bangladesh | 15,023 t | 2013 | up 54.4% | rising |
| 30 | Guinea-Bissau | 14,000 t | 2013 | up 135.4% | rising |
| 31 | Sierra Leone | 13,468 t | 2013 | up 85.0% | volatile |
| 32 | Morocco | 12,617 t | 2013 | up 95.2% | volatile |
| 33 | Benin | 10,800 t | 2013 | down 9.1% | volatile |
| 34 | Burkina Faso | 10,747 t | 2013 | down 10.9% | volatile |
| 35 | United Republic of Tanzania | 10,311 t | 2013 | up 206.5% | volatile |
| 36 | Mozambique | 9,135 t | 2013 | down 28.9% | falling |
| 37 | Poland | 8,612 t | 2013 | up 261.1% | volatile |
| 38 | China, Taiwan Province of | 8,300 t | 2013 | down 1.2% | falling |
| 39 | Lao People's Democratic Republic | 8,169 t | 2013 | up 200.8% | volatile |
| 40 | Lebanon | 5,855 t | 2013 | up 30.2% | volatile |
| 41 | Zambia | 4,950 t | 2013 | up 80.0% | volatile |
| 42 | Malaysia | 4,943 t | 2013 | — | volatile |
| 43 | Italy | 4,700 t | 2013 | up 6.8% | volatile |
| 44 | Belgium | 4,680 t | 2013 | up 50.0% | rising |
| 45 | Greece | 4,505 t | 2013 | up 13.3% | volatile |
| 46 | Bulgaria | 3,924 t | 2013 | up 161.8% | volatile |
| 47 | Czechoslovakia | 3,900 t | 1992 | down 1.3% | volatile |
| 48 | Congo | 3,618 t | 2013 | up 21.8% | rising |
| 49 | Mexico | 3,400 t | 2013 | up 6.2% | volatile |
| 50 | Caribbean | 3,099 t | 2013 | down 41.8% | volatile |
| 51 | C�te d'Ivoire | 2,997 t | 2013 | up 58.8% | rising |
| 52 | Madagascar | 2,960 t | 2013 | down 62.9% | rising |
| 53 | Yugoslav SFR | 2,873 t | 1991 | up 8.4% | volatile |
| 54 | Norway | 2,832 t | 2013 | up 32.1% | falling |
| 55 | Iraq | 2,644 t | 2013 | down 65.3% | volatile |
| 56 | Serbia and Montenegro | 2,434 t | 2005 | up 1,544.6% | volatile |
| 57 | Philippines | 2,421 t | 2013 | down 62.0% | volatile |
| 58 | Belgium-Luxembourg | 2,050 t | 1999 | up 161.1% | volatile |
| 59 | Dominican Republic | 1,942 t | 2013 | up 103.8% | volatile |
| 60 | Rwanda | 1,921 t | 2013 | up 19.2% | volatile |
| 61 | Nepal | 1,902 t | 2013 | up 1,012.3% | volatile |
| 62 | Saudi Arabia | 1,769 t | 2013 | up 17.5% | volatile |
| 63 | Australia | 1,708 t | 2013 | down 43.3% | rising |
| 63 | Australia and New Zealand | 1,708 t | 2013 | down 43.3% | rising |
| 65 | Czechia | 1,700 t | 2013 | up 6.2% | volatile |
| 66 | Ethiopia | 1,590 t | 2013 | down 40.0% | rising |
| 67 | Togo | 1,496 t | 2013 | down 0.3% | volatile |
| 68 | Portugal | 1,417 t | 2013 | up 101.6% | volatile |
| 69 | Switzerland | 1,300 t | 2013 | unchanged | volatile |
| 70 | Venezuela (Bolivarian Republic of) | 1,000 t | 2013 | down 41.6% | volatile |
| 71 | USSR | 972 t | 1991 | down 21.7% | volatile |
| 72 | Paraguay | 959 t | 2013 | down 72.5% | flat |
| 73 | Denmark | 947 t | 2013 | down 57.2% | volatile |
| 74 | Cambodia | 915 t | 2013 | up 52.2% | volatile |
| 75 | Bolivia (Plurinational State of) | 909 t | 2013 | up 90,800.0% | volatile |
| 76 | Cuba | 806 t | 2013 | down 78.1% | falling |
| 77 | Republic of Korea | 800 t | 2013 | down 6.1% | volatile |
| 78 | Sri Lanka | 696 t | 2013 | down 21.4% | volatile |
| 79 | Kuwait | 660 t | 2013 | up 243.8% | volatile |
| 80 | Uruguay | 559 t | 2013 | down 9.8% | volatile |
| 81 | Ukraine | 530 t | 2013 | — | volatile |
| 82 | United Arab Emirates | 500 t | 2013 | down 83.3% | volatile |
| 83 | Japan | 483 t | 2013 | down 31.0% | volatile |
| 84 | Trinidad and Tobago | 275 t | 2013 | down 54.5% | rising |
| 85 | Slovakia | 200 t | 2013 | down 28.6% | volatile |
| 86 | Guatemala | 179 t | 2013 | — | volatile |
| 87 | Mauritania | 176 t | 2013 | down 64.6% | volatile |
| 88 | Saint Vincent and the Grenadines | 65 t | 2013 | down 13.3% | rising |
| 89 | Albania | 20 t | 2013 | — | volatile |
| 90 | Saint Kitts and Nevis | 11 t | 2013 | up 10.0% | volatile |
| 91 | T�rkiye | 10 t | 2013 | down 33.3% | volatile |
| 92 | Botswana | 4 t | 2013 | down 96.0% | volatile |
| 93 | France | 0 t | 2013 | — | volatile |
| 93 | Hungary | 0 t | 2013 | — | volatile |
| 93 | Ireland | 0 t | 2013 | — | volatile |
| 93 | Israel | 0 t | 2013 | — | volatile |
| 93 | Mauritius | 0 t | 2013 | — | volatile |
| 93 | Uzbekistan | 0 t | 2013 | down 100.0% | volatile |
| 93 | United Kingdom of Great Britain and Northern Ireland | 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 7.66 million t
- Asia 5.02 million t
- Low Income Food Deficit Countries 3.78 million t
- Eastern Asia 2.92 million t
- Africa 2.19 million t
- Southern Asia 1.68 million t
- Western Africa 1.59 million t
- Net Food Importing Developing Countries 1.31 million t
- Least Developed Countries 1.24 million t
- South-eastern Asia 417,112 t
- Land Locked Developing Countries 376,546 t
- Americas 321,607 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.