Oilseed Cakes, Other — 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
Oilseed Cakes, Other — Production is currently reported for 100 countries. The highest value is 4.64 million t in India; the lowest is 0 t in Eswatini.
The median across all reporting countries is 12,054 t, and the mean is 102,413 t.
Over the past decade 61 countries rose and 34 fell. The largest increase was in Panama (up 85,500.0%), and the largest decrease in Jordan (down 100.0%).
Oilseed Cakes, Other — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 4.64 million t | 2013 | up 25.5% | volatile |
| 2 | China, mainland | 1.53 million t | 2013 | up 55.2% | rising |
| 3 | Japan | 331,092 t | 2013 | down 3.1% | falling |
| 4 | Thailand | 302,453 t | 2013 | up 72.1% | volatile |
| 5 | Belgium | 266,682 t | 2013 | up 12.2% | rising |
| 6 | Brazil | 243,193 t | 2013 | up 16.6% | rising |
| 7 | Belgium-Luxembourg | 228,438 t | 1999 | up 144.5% | volatile |
| 8 | Myanmar | 174,077 t | 2013 | down 62.8% | volatile |
| 9 | Italy | 173,843 t | 2013 | up 105.1% | rising |
| 10 | Nepal | 133,590 t | 2013 | up 30.8% | volatile |
| 11 | T�rkiye | 133,303 t | 2013 | up 163.0% | volatile |
| 12 | Ethiopia | 131,820 t | 2013 | up 62.6% | rising |
| 13 | Republic of Korea | 131,476 t | 2013 | up 4.6% | rising |
| 14 | South Africa | 124,174 t | 2013 | up 18.7% | rising |
| 15 | Argentina | 112,096 t | 2013 | up 90.3% | volatile |
| 16 | Germany | 108,075 t | 2013 | down 21.0% | rising |
| 17 | Pakistan | 104,604 t | 2013 | up 69.6% | volatile |
| 18 | Indonesia | 101,294 t | 2013 | down 24.0% | rising |
| 19 | Canada | 86,200 t | 2013 | down 9.2% | rising |
| 20 | Spain | 84,656 t | 2013 | up 49.6% | rising |
| 21 | Malaysia | 83,640 t | 2013 | up 3.0% | volatile |
| 22 | France | 76,240 t | 2013 | up 44.2% | falling |
| 23 | USSR | 72,368 t | 1991 | down 30.4% | falling |
| 24 | Mexico | 69,970 t | 2013 | down 40.6% | volatile |
| 25 | Ethiopia PDR | 58,313 t | 1992 | down 12.7% | rising |
| 26 | Cambodia | 57,385 t | 2013 | up 82.7% | volatile |
| 27 | Sri Lanka | 54,124 t | 2013 | up 52.1% | rising |
| 28 | Mozambique | 45,383 t | 2013 | up 13.1% | rising |
| 29 | United Kingdom of Great Britain and Northern Ireland | 39,450 t | 2013 | down 0.5% | falling |
| 30 | Sudan (former) | 37,128 t | 2011 | up 5,219.2% | volatile |
| 31 | Colombia | 35,514 t | 2013 | down 15.4% | volatile |
| 32 | Kenya | 34,786 t | 2013 | up 12.1% | volatile |
| 33 | Russian Federation | 29,386 t | 2013 | up 74.5% | rising |
| 34 | Poland | 22,600 t | 2013 | up 103.6% | volatile |
| 35 | Uganda | 22,394 t | 2013 | up 28.1% | volatile |
| 36 | Uzbekistan | 22,098 t | 2013 | up 173.5% | rising |
| 37 | Hungary | 21,507 t | 2013 | up 14.7% | volatile |
| 38 | Zimbabwe | 20,186 t | 2013 | up 4.1% | volatile |
| 39 | Yugoslav SFR | 19,452 t | 1991 | down 7.5% | falling |
| 40 | Bangladesh | 18,621 t | 2013 | up 44.9% | rising |
| 41 | Czechoslovakia | 17,333 t | 1992 | down 58.3% | rising |
| 42 | Portugal | 17,176 t | 2013 | down 7.3% | falling |
| 43 | Kazakhstan | 16,755 t | 2013 | up 99.3% | volatile |
| 44 | Ukraine | 16,116 t | 2013 | up 42.3% | rising |
| 45 | Nigeria | 15,300 t | 2013 | up 29.4% | volatile |
| 46 | China, Taiwan Province of | 13,792 t | 2013 | up 100.2% | volatile |
| 47 | Romania | 13,553 t | 2013 | up 912.2% | volatile |
| 48 | Philippines | 13,079 t | 2013 | up 18.4% | rising |
| 49 | Bulgaria | 12,795 t | 2013 | up 83.8% | volatile |
| 50 | Greece | 12,767 t | 2013 | up 97.0% | rising |
| 51 | Sweden | 11,342 t | 2013 | down 42.9% | volatile |
| 52 | Australia and New Zealand | 9,668 t | 2013 | down 2.6% | volatile |
| 53 | Croatia | 8,757 t | 2013 | up 61.8% | volatile |
| 54 | Costa Rica | 8,496 t | 2013 | up 1,651.8% | volatile |
| 55 | Australia | 7,566 t | 2013 | down 11.7% | volatile |
| 56 | Azerbaijan | 7,552 t | 2013 | up 45.8% | volatile |
| 57 | Oman | 6,364 t | 2013 | up 275.7% | volatile |
| 58 | Denmark | 5,389 t | 2013 | down 23.9% | volatile |
| 59 | Morocco | 5,375 t | 2013 | up 335.9% | volatile |
| 60 | Israel | 4,744 t | 2013 | up 168.0% | volatile |
| 61 | Egypt | 4,458 t | 2013 | down 79.7% | volatile |
| 62 | Slovak Republic | 3,999 t | 2013 | up 49.6% | rising |
| 63 | Honduras | 3,651 t | 2013 | up 14.7% | rising |
| 64 | Austria | 3,483 t | 2013 | down 49.6% | volatile |
| 65 | Uruguay | 3,308 t | 2013 | up 86.2% | volatile |
| 66 | Serbia and Montenegro | 2,726 t | 2005 | up 9.0% | flat |
| 67 | Switzerland | 2,221 t | 2013 | down 46.4% | falling |
| 68 | New Zealand | 2,102 t | 2013 | up 55.0% | volatile |
| 69 | Slovenia | 1,763 t | 2013 | — | volatile |
| 70 | Norway | 1,749 t | 2013 | up 40.1% | volatile |
| 71 | Tunisia | 1,604 t | 2013 | down 26.2% | rising |
| 72 | Afghanistan | 1,475 t | 2013 | down 79.5% | falling |
| 73 | Netherlands (Kingdom of the) | 1,276 t | 2013 | down 93.1% | volatile |
| 74 | Chile | 1,221 t | 2013 | up 67.5% | volatile |
| 75 | Czechia | 1,182 t | 2013 | up 4.2% | falling |
| 76 | Lesotho | 900 t | 2013 | up 13.9% | volatile |
| 77 | Finland | 863 t | 2013 | up 218.4% | volatile |
| 78 | Panama | 856 t | 2013 | up 85,500.0% | volatile |
| 79 | China, Hong Kong SAR | 713 t | 2013 | up 10.0% | volatile |
| 80 | Belarus | 660 t | 2013 | down 52.2% | volatile |
| 81 | Serbia | 600 t | 2013 | up 224.3% | volatile |
| 82 | Estonia | 396 t | 2013 | up 80.0% | volatile |
| 83 | Luxembourg | 342 t | 2013 | down 14.3% | volatile |
| 84 | El Salvador | 251 t | 2013 | up 54.0% | volatile |
| 85 | Guatemala | 193 t | 2013 | — | volatile |
| 86 | Lithuania | 180 t | 2013 | up 50.0% | volatile |
| 86 | Latvia | 180 t | 2013 | down 25.0% | volatile |
| 88 | Lebanon | 172 t | 2013 | down 13.1% | volatile |
| 89 | Iraq | 88 t | 2013 | down 11.1% | volatile |
| 90 | Cyprus | 47 t | 2013 | down 30.9% | volatile |
| 91 | Barbados | 16 t | 2013 | up 100.0% | volatile |
| 91 | Malta | 16 t | 2013 | down 11.1% | volatile |
| 93 | Mauritius | 14 t | 2013 | down 44.0% | volatile |
| 94 | Jamaica | 11 t | 2013 | — | volatile |
| 95 | Saint Lucia | 4 t | 2013 | up 300.0% | volatile |
| 96 | Algeria | 1 t | 2013 | down 50.0% | volatile |
| 97 | Dominica | 0 t | 2013 | — | volatile |
| 97 | Ireland | 0 t | 2013 | — | volatile |
| 97 | Jordan | 0 t | 2013 | down 100.0% | volatile |
| 97 | Eswatini | 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 11.49 million t
- Low Income Food Deficit Countries 5.34 million t
- Americas 2.03 million t
- Northern America 1.36 million t
- United States of America 1.27 million t
- Net Food Importing Developing Countries 1.08 million t
- European Union (27) 849,109 t
- Least Developed Countries 670,692 t
- Western Europe 458,319 t
- Land Locked Developing Countries 386,663 t
- Northern Europe 59,549 t
- Small Island Developing States 45 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.