Rape and Mustard Cake — Feed 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
Rape and Mustard Cake — Feed is currently reported for 104 countries. The highest value is 6.96 million t in China, mainland; the lowest is 0 t in Brunei Darussalam.
The median across all reporting countries is 21,074 t, and the mean is 276,577 t.
Over the past decade 62 countries rose and 17 fell. The largest increase was in Uruguay (up 415,667.0%), and the largest decrease in Albania (down 100.0%).
Rape and Mustard Cake — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 6.96 million t | 2013 | up 25.2% | volatile |
| 2 | France | 2.60 million t | 2013 | up 149.8% | volatile |
| 3 | India | 2.57 million t | 2013 | up 53.9% | rising |
| 4 | Germany | 2.40 million t | 2013 | up 39.8% | volatile |
| 5 | Japan | 1.41 million t | 2013 | up 15.6% | volatile |
| 6 | Netherlands (Kingdom of the) | 1.25 million t | 2013 | up 242.3% | volatile |
| 7 | United Kingdom of Great Britain and Northern Ireland | 1.12 million t | 2013 | up 54.1% | volatile |
| 8 | Mexico | 913,572 t | 2013 | up 95.6% | volatile |
| 9 | Spain | 864,913 t | 2013 | up 2,546.0% | volatile |
| 10 | Poland | 719,927 t | 2013 | up 128.5% | rising |
| 11 | Canada | 523,504 t | 2013 | down 5.5% | volatile |
| 12 | Denmark | 480,000 t | 2013 | up 96.5% | volatile |
| 13 | Republic of Korea | 455,443 t | 2013 | up 71.8% | volatile |
| 14 | Australia and New Zealand | 428,858 t | 2013 | up 115.9% | volatile |
| 15 | Australia | 407,523 t | 2013 | up 105.2% | volatile |
| 16 | Thailand | 377,179 t | 2013 | up 172.9% | volatile |
| 17 | Czechia | 375,568 t | 2013 | up 146.2% | volatile |
| 18 | Pakistan | 351,808 t | 2013 | down 14.3% | volatile |
| 19 | Belgium | 348,387 t | 2013 | up 225.6% | rising |
| 20 | Belarus | 333,370 t | 2013 | up 2,627.8% | volatile |
| 21 | Finland | 308,274 t | 2013 | up 61.6% | volatile |
| 22 | Ireland | 292,499 t | 2013 | up 159.2% | volatile |
| 23 | USSR | 235,620 t | 1991 | up 381.1% | volatile |
| 24 | Sweden | 232,454 t | 2013 | up 38.8% | rising |
| 25 | Bangladesh | 219,644 t | 2013 | down 8.4% | rising |
| 26 | Iran (Islamic Republic of) | 219,064 t | 2013 | up 478.0% | volatile |
| 27 | Austria | 183,087 t | 2013 | up 167.5% | volatile |
| 28 | T�rkiye | 180,975 t | 2013 | up 4,566.7% | volatile |
| 29 | United Arab Emirates | 173,821 t | 2013 | up 22,651.4% | volatile |
| 30 | Indonesia | 152,346 t | 2013 | up 169.6% | volatile |
| 31 | Italy | 138,278 t | 2013 | up 152.7% | volatile |
| 32 | Belgium-Luxembourg | 135,028 t | 1999 | up 77.7% | volatile |
| 33 | Portugal | 125,883 t | 2013 | up 21,381.7% | volatile |
| 34 | Norway | 104,000 t | 2013 | up 79.3% | volatile |
| 35 | Switzerland | 96,195 t | 2013 | up 205.9% | volatile |
| 36 | Nepal | 90,000 t | 2013 | up 196.1% | volatile |
| 37 | Czechoslovakia | 87,300 t | 1992 | up 118.5% | volatile |
| 38 | Chile | 78,700 t | 2013 | up 774.4% | volatile |
| 39 | Israel | 66,803 t | 2013 | up 358.2% | volatile |
| 40 | China, Taiwan Province of | 63,717 t | 2013 | down 34.5% | volatile |
| 41 | Latvia | 63,696 t | 2013 | up 4,298.9% | volatile |
| 42 | Hungary | 62,875 t | 2013 | up 239.1% | volatile |
| 43 | Myanmar | 62,629 t | 2013 | up 131.6% | volatile |
| 44 | Brazil | 54,583 t | 2013 | up 35.8% | volatile |
| 45 | Morocco | 53,973 t | 2013 | up 9,713.3% | volatile |
| 46 | Ethiopia PDR | 48,085 t | 1992 | up 1,813.5% | volatile |
| 47 | Ukraine | 29,997 t | 2013 | up 170.4% | volatile |
| 48 | Lithuania | 27,983 t | 2013 | up 13,484.0% | volatile |
| 49 | Malaysia | 27,778 t | 2013 | up 419.2% | volatile |
| 50 | Algeria | 23,278 t | 2013 | up 62.4% | volatile |
| 51 | New Zealand | 21,335 t | 2013 | — | volatile |
| 52 | Croatia | 21,089 t | 2013 | up 1,645.8% | volatile |
| 53 | Estonia | 21,058 t | 2013 | up 679.1% | volatile |
| 54 | Slovenia | 20,565 t | 2013 | up 358.0% | volatile |
| 55 | Paraguay | 20,465 t | 2013 | up 484.7% | volatile |
| 56 | Yugoslav SFR | 19,556 t | 1991 | down 38.2% | volatile |
| 57 | Slovakia | 16,862 t | 2013 | up 32.8% | volatile |
| 58 | Greece | 15,923 t | 2013 | — | volatile |
| 59 | Republic of Moldova | 14,784 t | 2013 | — | volatile |
| 60 | Ethiopia | 13,723 t | 2013 | up 11.9% | volatile |
| 61 | Luxembourg | 12,946 t | 2013 | up 60.5% | rising |
| 62 | Uruguay | 12,473 t | 2013 | up 415,667.0% | volatile |
| 63 | Russian Federation | 7,604 t | 2013 | down 58.7% | volatile |
| 64 | Kazakhstan | 5,174 t | 2013 | up 208.0% | volatile |
| 65 | Serbia | 3,649 t | 2013 | up 1,154.0% | volatile |
| 66 | Philippines | 3,498 t | 2013 | down 6.3% | volatile |
| 67 | Oman | 3,170 t | 2013 | up 201.9% | volatile |
| 68 | Sri Lanka | 2,144 t | 2013 | — | volatile |
| 69 | Serbia and Montenegro | 1,757 t | 2005 | down 1.6% | volatile |
| 70 | Cyprus | 1,650 t | 2013 | — | volatile |
| 71 | Argentina | 1,150 t | 2013 | up 758.2% | volatile |
| 72 | Egypt | 1,103 t | 2013 | — | volatile |
| 73 | Uzbekistan | 824 t | 2013 | down 17.8% | rising |
| 74 | New Caledonia | 325 t | 2013 | — | volatile |
| 74 | Melanesia | 325 t | 2013 | — | volatile |
| 76 | Lebanon | 316 t | 2013 | — | volatile |
| 77 | Jordan | 250 t | 2013 | — | volatile |
| 78 | Romania | 214 t | 2013 | down 75.2% | volatile |
| 79 | Cabo Verde | 165 t | 2013 | — | volatile |
| 80 | Kyrgyzstan | 150 t | 2013 | up 64.8% | volatile |
| 81 | North Macedonia | 110 t | 2013 | up 23.6% | volatile |
| 82 | Azerbaijan | 95 t | 2013 | — | volatile |
| 83 | Colombia | 77 t | 2013 | up 92.5% | volatile |
| 84 | Eswatini | 63 t | 2013 | up 600.0% | volatile |
| 85 | Niger | 28 t | 2013 | — | volatile |
| 86 | Bulgaria | 19 t | 2013 | down 97.5% | volatile |
| 86 | Peru | 19 t | 2013 | — | volatile |
| 88 | Burkina Faso | 9 t | 2013 | — | volatile |
| 88 | Guinea | 9 t | 2013 | — | volatile |
| 90 | Senegal | 4 t | 2013 | — | volatile |
| 91 | Albania | 0 t | 2013 | down 100.0% | volatile |
| 91 | Bosnia and Herzegovina | 0 t | 2013 | down 100.0% | volatile |
| 91 | Botswana | 0 t | 2013 | down 100.0% | volatile |
| 91 | Guatemala | 0 t | 2013 | — | volatile |
| 91 | Iceland | 0 t | 2013 | — | volatile |
| 91 | Mali | 0 t | 2013 | — | volatile |
| 91 | Malta | 0 t | 2013 | — | volatile |
| 91 | Mauritania | 0 t | 2013 | — | volatile |
| 91 | Nicaragua | 0 t | 2013 | — | volatile |
| 91 | French Polynesia | 0 t | 2013 | down 100.0% | volatile |
| 91 | Uganda | 0 t | 2013 | — | volatile |
| 91 | Polynesia | 0 t | 2013 | down 100.0% | volatile |
| 91 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 91 | 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 31.90 million t
- Asia 13.40 million t
- Europe 12.29 million t
- European Union (27) 10.58 million t
- Eastern Asia 8.89 million t
- Western Europe 6.88 million t
- Americas 5.64 million t
- Northern America 4.56 million t
- United States of America 4.04 million t
- Southern Asia 3.45 million t
- Low Income Food Deficit Countries 3.25 million t
- Northern Europe 2.65 million 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.