Groundnut Cake — Domestic supply 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 — Domestic supply quantity is currently reported for 144 countries. The highest value is 2.93 million t in China, mainland; the lowest is -254 t in Melanesia.
The median across all reporting countries is 1,518 t, and the mean is 51,944 t.
The gap between the highest and lowest reporting country is a factor of about 11,546.
Over the past decade 57 countries rose and 48 fell. The largest increase was in Bolivia (Plurinational State of) (up 90,800.0%), and the largest decrease in Namibia (down 100.0%).
Groundnut Cake — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 2.93 million t | 2013 | up 1.6% | volatile |
| 2 | India | 1.63 million t | 2013 | down 28.8% | rising |
| 3 | Nigeria | 1.05 million t | 2013 | up 73.6% | volatile |
| 4 | Myanmar | 301,700 t | 2013 | up 101.1% | volatile |
| 5 | Senegal | 122,451 t | 2013 | up 29.0% | volatile |
| 6 | Sudan (former) | 119,723 t | 2011 | down 17.0% | volatile |
| 7 | Mali | 116,016 t | 2013 | up 179.9% | volatile |
| 8 | Guinea | 93,565 t | 2013 | up 52.6% | volatile |
| 9 | Brazil | 87,688 t | 2013 | up 204.5% | volatile |
| 10 | Ghana | 78,162 t | 2013 | down 28.1% | volatile |
| 11 | Netherlands (Kingdom of the) | 75,656 t | 2013 | up 25.3% | rising |
| 12 | Cameroon | 64,590 t | 2013 | up 893.7% | volatile |
| 13 | Argentina | 61,848 t | 2013 | up 55.9% | volatile |
| 14 | Chad | 51,255 t | 2013 | up 16.7% | volatile |
| 15 | Malawi | 51,000 t | 2013 | up 129.4% | volatile |
| 16 | Angola | 37,801 t | 2013 | up 227.9% | volatile |
| 17 | Viet Nam | 37,617 t | 2013 | down 16.0% | volatile |
| 18 | Niger | 36,435 t | 2013 | up 25.6% | volatile |
| 19 | Indonesia | 29,271 t | 2013 | down 8.9% | volatile |
| 20 | Belgium-Luxembourg | 28,475 t | 1999 | up 82.2% | volatile |
| 21 | Thailand | 28,059 t | 2013 | down 0.3% | volatile |
| 22 | Gambia | 25,119 t | 2013 | up 14.2% | volatile |
| 23 | Egypt | 22,981 t | 2013 | down 23.4% | volatile |
| 24 | Algeria | 21,781 t | 2013 | up 0.3% | volatile |
| 25 | Uganda | 19,988 t | 2013 | up 56.8% | rising |
| 26 | Pakistan | 19,379 t | 2013 | down 22.0% | rising |
| 27 | China, Taiwan Province of | 17,630 t | 2013 | up 24.3% | falling |
| 28 | Ethiopia PDR | 17,490 t | 1992 | up 116.7% | volatile |
| 29 | Zimbabwe | 16,995 t | 2013 | up 161.5% | volatile |
| 30 | France | 16,953 t | 2013 | down 61.8% | volatile |
| 31 | Bangladesh | 15,023 t | 2013 | up 36.6% | rising |
| 32 | Chile | 14,107 t | 2013 | up 98.0% | volatile |
| 33 | Guinea-Bissau | 14,000 t | 2013 | up 135.4% | volatile |
| 34 | Sierra Leone | 13,468 t | 2013 | up 85.0% | volatile |
| 35 | Morocco | 12,617 t | 2013 | up 95.2% | volatile |
| 36 | Benin | 10,800 t | 2013 | down 9.3% | volatile |
| 37 | Burkina Faso | 10,787 t | 2013 | down 10.3% | volatile |
| 38 | United Republic of Tanzania | 10,311 t | 2013 | up 204.7% | volatile |
| 39 | Mozambique | 9,133 t | 2013 | down 29.1% | rising |
| 40 | Poland | 8,612 t | 2013 | up 261.1% | volatile |
| 41 | Lao People's Democratic Republic | 8,169 t | 2013 | up 200.8% | volatile |
| 42 | Honduras | 7,837 t | 2013 | up 218.2% | volatile |
| 43 | Norway | 7,782 t | 2013 | up 259.1% | volatile |
| 44 | Nicaragua | 7,382 t | 2013 | down 8.7% | volatile |
| 45 | Belgium | 7,199 t | 2013 | up 115.2% | volatile |
| 46 | Mexico | 6,733 t | 2013 | down 18.3% | volatile |
| 47 | Guatemala | 6,256 t | 2013 | up 2,655.9% | volatile |
| 48 | Lebanon | 5,855 t | 2013 | up 30.2% | volatile |
| 49 | Zambia | 4,950 t | 2013 | up 80.0% | flat |
| 50 | Italy | 4,700 t | 2013 | up 6.8% | volatile |
| 51 | Greece | 4,505 t | 2013 | up 13.2% | volatile |
| 52 | Czechoslovakia | 4,300 t | 1992 | down 90.8% | volatile |
| 53 | El Salvador | 4,173 t | 2013 | down 23.0% | volatile |
| 54 | Germany | 3,853 t | 2013 | up 44.3% | volatile |
| 55 | Caribbean | 3,782 t | 2013 | down 36.2% | volatile |
| 56 | Bulgaria | 3,628 t | 2013 | up 142.4% | volatile |
| 57 | Congo | 3,618 t | 2013 | up 21.8% | volatile |
| 58 | C�te d'Ivoire | 2,997 t | 2013 | up 58.8% | rising |
| 59 | Madagascar | 2,960 t | 2013 | down 62.9% | volatile |
| 60 | Yugoslav SFR | 2,943 t | 1991 | up 11.1% | volatile |
| 61 | Iraq | 2,644 t | 2013 | down 65.3% | volatile |
| 62 | Dominican Republic | 2,642 t | 2013 | up 70.1% | volatile |
| 63 | Serbia and Montenegro | 2,627 t | 2005 | up 1,675.0% | volatile |
| 64 | Philippines | 2,423 t | 2013 | down 62.0% | volatile |
| 65 | Rwanda | 2,198 t | 2013 | up 36.4% | volatile |
| 66 | Canada | 2,155 t | 2013 | down 68.6% | volatile |
| 67 | Nepal | 1,886 t | 2013 | up 31,333.3% | volatile |
| 68 | Australia | 1,708 t | 2013 | down 43.3% | rising |
| 68 | Australia and New Zealand | 1,708 t | 2013 | down 43.3% | rising |
| 70 | Czechia | 1,700 t | 2013 | up 6.2% | volatile |
| 71 | Mauritania | 1,638 t | 2013 | down 27.9% | volatile |
| 72 | Ethiopia | 1,539 t | 2013 | down 41.9% | rising |
| 73 | Togo | 1,496 t | 2013 | up 221.7% | volatile |
| 74 | Saudi Arabia | 1,447 t | 2013 | down 9.4% | volatile |
| 75 | Portugal | 1,417 t | 2013 | up 101.6% | volatile |
| 76 | Switzerland | 1,300 t | 2013 | unchanged | volatile |
| 77 | Venezuela (Bolivarian Republic of) | 1,000 t | 2013 | down 41.6% | volatile |
| 78 | USSR | 972 t | 1991 | down 99.3% | volatile |
| 79 | Paraguay | 959 t | 2013 | down 72.5% | volatile |
| 80 | Denmark | 947 t | 2013 | down 57.4% | volatile |
| 81 | Cambodia | 915 t | 2013 | up 52.2% | volatile |
| 82 | Bolivia (Plurinational State of) | 909 t | 2013 | up 90,800.0% | volatile |
| 83 | United Arab Emirates | 906 t | 2013 | down 69.8% | volatile |
| 84 | Republic of Korea | 835 t | 2013 | down 2.0% | volatile |
| 85 | Cuba | 806 t | 2013 | down 78.1% | falling |
| 86 | Sri Lanka | 805 t | 2013 | down 9.0% | volatile |
| 87 | China, Hong Kong SAR | 700 t | 2013 | up 22.8% | volatile |
| 88 | Kuwait | 660 t | 2013 | up 243.8% | volatile |
| 89 | Uruguay | 559 t | 2013 | down 9.8% | volatile |
| 90 | Malaysia | 550 t | 2013 | up 2,519.1% | volatile |
| 91 | Japan | 534 t | 2013 | down 46.5% | volatile |
| 92 | Ukraine | 530 t | 2013 | — | volatile |
| 93 | Jordan | 482 t | 2013 | — | volatile |
| 94 | Trinidad and Tobago | 275 t | 2013 | down 54.5% | rising |
| 95 | Slovakia | 200 t | 2013 | down 28.6% | volatile |
| 96 | Costa Rica | 145 t | 2013 | — | volatile |
| 97 | Peru | 130 t | 2013 | — | volatile |
| 98 | Eswatini | 66 t | 2013 | down 7.0% | volatile |
| 99 | Saint Vincent and the Grenadines | 65 t | 2013 | down 13.3% | rising |
| 100 | Albania | 20 t | 2013 | down 58.3% | volatile |
| 101 | Mauritius | 18 t | 2013 | — | volatile |
| 102 | Ireland | 13 t | 2013 | up 18.2% | volatile |
| 103 | Saint Kitts and Nevis | 11 t | 2013 | up 10.0% | volatile |
| 104 | T�rkiye | 10 t | 2013 | down 33.3% | volatile |
| 105 | Sweden | 7 t | 2013 | — | volatile |
| 106 | Spain | 6 t | 2013 | up 50.0% | volatile |
| 107 | Botswana | 4 t | 2013 | down 98.0% | volatile |
| 108 | United Kingdom of Great Britain and Northern Ireland | 3 t | 2013 | down 99.8% | volatile |
| 109 | Gabon | 1 t | 2013 | down 99.9% | volatile |
| 110 | Austria | 0 t | 2013 | — | volatile |
| 110 | Colombia | 0 t | 2013 | — | volatile |
| 110 | Cyprus | 0 t | 2013 | — | volatile |
| 110 | Djibouti | 0 t | 2013 | — | volatile |
| 110 | Ecuador | 0 t | 2013 | — | volatile |
| 110 | Estonia | 0 t | 2013 | — | volatile |
| 110 | Finland | 0 t | 2013 | — | volatile |
| 110 | Fiji | 0 t | 2013 | — | volatile |
| 110 | Georgia | 0 t | 2013 | — | volatile |
| 110 | Guyana | 0 t | 2013 | — | volatile |
| 110 | Hungary | 0 t | 2013 | — | volatile |
| 110 | Israel | 0 t | 2013 | — | volatile |
| 110 | Kazakhstan | 0 t | 2013 | — | volatile |
| 110 | Kenya | 0 t | 2013 | — | volatile |
| 110 | Liberia | 0 t | 2013 | — | volatile |
| 110 | Lithuania | 0 t | 2013 | — | volatile |
| 110 | Latvia | 0 t | 2013 | — | volatile |
| 110 | North Macedonia | 0 t | 2013 | — | volatile |
| 110 | Malta | 0 t | 2013 | — | volatile |
| 110 | Namibia | 0 t | 2013 | down 100.0% | volatile |
| 110 | New Zealand | 0 t | 2013 | — | volatile |
| 110 | Oman | 0 t | 2013 | down 100.0% | volatile |
| 110 | Romania | 0 t | 2013 | — | volatile |
| 110 | Uzbekistan | 0 t | 2013 | down 100.0% | volatile |
| 110 | Yemen | 0 t | 2013 | — | volatile |
| 110 | Cabo Verde | 0 t | 2013 | — | volatile |
| 110 | Iran (Islamic Republic of) | 0 t | 2013 | — | volatile |
| 110 | Russian Federation | 0 t | 2013 | — | volatile |
| 110 | Brunei Darussalam | 0 t | 2013 | — | volatile |
| 110 | Democratic People's Republic of Korea | 0 t | 2013 | — | volatile |
| 110 | China, Macao SAR | 0 t | 2013 | — | volatile |
| 141 | Serbia | -1 t | 2013 | — | volatile |
| 142 | Jamaica | -17 t | 2013 | — | volatile |
| 143 | Solomon Islands | -254 t | 2013 | — | volatile |
| 143 | Melanesia | -254 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 7.68 million t
- Asia 5.04 million t
- Low Income Food Deficit Countries 3.74 million t
- Eastern Asia 2.95 million t
- Africa 2.17 million t
- Southern Asia 1.67 million t
- Western Africa 1.58 million t
- Net Food Importing Developing Countries 1.29 million t
- Least Developed Countries 1.22 million t
- South-eastern Asia 408,704 t
- Land Locked Developing Countries 376,979 t
- Americas 321,518 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.