Rape and Mustard Cake — Export 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
Rape and Mustard Cake — Export Quantity is currently reported for 91 countries. The highest value is 3.30 million t in Canada; the lowest is 0 t in T�rkiye.
The median across all reporting countries is 1,781 t, and the mean is 121,261 t.
Over the past decade 28 countries rose and 13 fell. The largest increase was in Australia (up 2,727,600.0%), and the largest decrease in United Republic of Tanzania (down 100.0%).
Rape and Mustard Cake — Export Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 3.30 million t | 2013 | up 192.5% | volatile |
| 2 | Germany | 1.73 million t | 2013 | up 54.7% | volatile |
| 3 | India | 1.48 million t | 2013 | up 534.2% | volatile |
| 3 | Melanesia | 2 t | 2013 | — | volatile |
| 4 | Poland | 603,626 t | 2013 | up 283.5% | volatile |
| 4 | Iran (Islamic Republic of) | 0 t | 2013 | — | volatile |
| 4 | Republic of Moldova | 0 t | 2013 | — | volatile |
| 4 | United Republic of Tanzania | 0 t | 2013 | down 100.0% | volatile |
| 5 | Belgium | 494,179 t | 2013 | up 98.8% | rising |
| 6 | France | 477,879 t | 2013 | up 520.2% | volatile |
| 7 | Netherlands (Kingdom of the) | 352,425 t | 2013 | up 484.7% | volatile |
| 8 | Belgium-Luxembourg | 291,336 t | 1999 | up 3.5% | volatile |
| 9 | Russian Federation | 289,593 t | 2013 | up 1,250.5% | volatile |
| 10 | Czechia | 251,876 t | 2013 | up 77.3% | rising |
| 11 | United Arab Emirates | 173,178 t | 2013 | up 455,632.0% | volatile |
| 12 | Czechoslovakia | 161,600 t | 1992 | up 156.1% | volatile |
| 13 | Romania | 156,051 t | 2013 | up 12,226.3% | volatile |
| 14 | United Kingdom of Great Britain and Northern Ireland | 139,060 t | 2013 | down 27.5% | volatile |
| 15 | Lithuania | 101,735 t | 2013 | — | volatile |
| 16 | Austria | 85,421 t | 2013 | up 180.9% | volatile |
| 17 | Pakistan | 75,600 t | 2013 | up 188,900.0% | volatile |
| 18 | China, mainland | 72,992 t | 2013 | down 60.0% | volatile |
| 19 | Belarus | 70,929 t | 2013 | up 599.2% | volatile |
| 20 | Slovakia | 66,971 t | 2013 | up 80.7% | falling |
| 21 | Ukraine | 65,703 t | 2013 | up 1,548.8% | volatile |
| 22 | Australia and New Zealand | 54,555 t | 2013 | up 1,091,000.0% | volatile |
| 23 | Australia | 54,554 t | 2013 | up 2,727,600.0% | volatile |
| 24 | Denmark | 53,904 t | 2013 | down 17.0% | volatile |
| 25 | Kazakhstan | 49,044 t | 2013 | — | volatile |
| 26 | Sweden | 41,451 t | 2013 | up 49.9% | volatile |
| 27 | Latvia | 40,909 t | 2013 | up 2,050.8% | volatile |
| 28 | Bulgaria | 40,116 t | 2013 | — | volatile |
| 29 | Hungary | 33,552 t | 2013 | — | volatile |
| 30 | Finland | 31,741 t | 2013 | — | volatile |
| 31 | Portugal | 29,747 t | 2013 | — | volatile |
| 32 | Nepal | 24,749 t | 2013 | down 47.3% | volatile |
| 33 | Estonia | 23,503 t | 2013 | down 5.4% | volatile |
| 34 | Ireland | 19,236 t | 2013 | up 248.0% | volatile |
| 35 | Republic of Korea | 16,316 t | 2013 | — | volatile |
| 36 | Yugoslav SFR | 14,900 t | 1991 | — | volatile |
| 37 | Spain | 14,303 t | 2013 | up 204,229.0% | volatile |
| 38 | Italy | 10,364 t | 2013 | up 1,002.5% | volatile |
| 39 | Argentina | 8,575 t | 2013 | up 315.1% | volatile |
| 40 | Ethiopia | 8,438 t | 2013 | — | volatile |
| 41 | Bosnia and Herzegovina | 7,351 t | 2013 | — | volatile |
| 42 | Malaysia | 6,136 t | 2013 | up 33,988.9% | volatile |
| 43 | Croatia | 3,513 t | 2013 | down 16.9% | volatile |
| 44 | Paraguay | 2,535 t | 2013 | — | volatile |
| 45 | Ethiopia PDR | 2,000 t | 1992 | down 64.7% | volatile |
| 46 | Slovenia | 1,781 t | 2013 | — | volatile |
| 47 | Greece | 757 t | 2013 | — | volatile |
| 48 | Uruguay | 745 t | 2013 | — | volatile |
| 49 | Togo | 610 t | 2013 | — | volatile |
| 50 | Iceland | 246 t | 2013 | — | volatile |
| 51 | Luxembourg | 208 t | 2013 | up 1.5% | volatile |
| 52 | Indonesia | 100 t | 2013 | — | volatile |
| 53 | Mozambique | 85 t | 2013 | — | volatile |
| 54 | Benin | 75 t | 2013 | — | volatile |
| 55 | Serbia and Montenegro | 73 t | 2005 | — | volatile |
| 56 | South Africa | 64 t | 2013 | — | volatile |
| 57 | Serbia | 49 t | 2013 | down 64.5% | volatile |
| 58 | Malawi | 16 t | 2013 | — | volatile |
| 59 | Japan | 10 t | 2013 | — | volatile |
| 60 | Fiji | 2 t | 2013 | — | volatile |
| 61 | New Zealand | 1 t | 2013 | down 66.7% | volatile |
| 62 | Azerbaijan | 0 t | 2013 | — | volatile |
| 62 | Bangladesh | 0 t | 2013 | — | volatile |
| 62 | Brazil | 0 t | 2013 | — | volatile |
| 62 | Switzerland | 0 t | 2013 | down 100.0% | volatile |
| 62 | Chile | 0 t | 2013 | — | volatile |
| 62 | Costa Rica | 0 t | 2013 | — | volatile |
| 62 | Algeria | 0 t | 2013 | — | volatile |
| 62 | Ghana | 0 t | 2013 | — | volatile |
| 62 | Honduras | 0 t | 2013 | — | volatile |
| 62 | Israel | 0 t | 2013 | — | volatile |
| 62 | Kenya | 0 t | 2013 | — | volatile |
| 62 | Lebanon | 0 t | 2013 | — | volatile |
| 62 | Morocco | 0 t | 2013 | — | volatile |
| 62 | Mexico | 0 t | 2013 | — | volatile |
| 62 | North Macedonia | 0 t | 2013 | — | volatile |
| 62 | Mali | 0 t | 2013 | — | volatile |
| 62 | Myanmar | 0 t | 2013 | — | volatile |
| 62 | Norway | 0 t | 2013 | — | volatile |
| 62 | Rwanda | 0 t | 2013 | — | volatile |
| 62 | Saudi Arabia | 0 t | 2013 | — | volatile |
| 62 | Eswatini | 0 t | 2013 | — | volatile |
| 62 | Thailand | 0 t | 2013 | — | volatile |
| 62 | Uganda | 0 t | 2013 | — | volatile |
| 62 | China, Hong Kong SAR | 0 t | 2013 | — | volatile |
| 62 | China, Taiwan Province of | 0 t | 2013 | down 100.0% | volatile |
| 62 | T�rkiye | 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 10.57 million t
- Asia 1.90 million t
- Europe 5.24 million t
- Land Locked Developing Countries 84,782 t
- European Union (27) 4.66 million t
- Americas 3.37 million t
- Northern America 3.36 million t
- Western Europe 3.14 million t
- Low Income Food Deficit Countries 1.59 million t
- Southern Asia 1.58 million t
- Eastern Europe 1.58 million t
- Northern Europe 451,785 t
- Western Asia 173,178 t
- Net Food Importing Developing Countries 109,573 t
- Eastern Asia 89,318 t
- Southern Europe 67,865 t
- United States of America 59,709 t
- Oceania 54,557 t
- Central Asia 49,044 t
- Least developed countries 33,973 t
- South America 11,855 t
- Africa 9,288 t
- Eastern Africa 8,539 t
- South-Eastern Asia 6,236 t
- Western Africa 685 t
- Southern Africa 64 t
- Small Island Developing States 2 t
- Northern Africa 0 t
- Central America 0 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.