Sunflowerseed 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
Sunflowerseed Cake — Production is currently reported for 85 countries. The highest value is 3.26 million t in Ukraine; the lowest is 0 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 22,300 t, and the mean is 202,471 t.
Over the past decade 49 countries rose and 36 fell. The largest increase was in Bosnia and Herzegovina (up 97,182.6%), and the largest decrease in Latvia (down 100.0%).
Sunflowerseed Cake — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ukraine | 3.26 million t | 2013 | up 154.0% | volatile |
| 2 | Russian Federation | 3.12 million t | 2013 | up 126.2% | rising |
| 3 | USSR | 2.15 million t | 1991 | up 37.1% | falling |
| 3 | United Republic of Tanzania | 203,800 t | 2013 | up 191.1% | volatile |
| 4 | Argentina | 1.13 million t | 2013 | down 17.4% | volatile |
| 4 | Bolivia (Plurinational State of) | 72,853 t | 2013 | up 58.4% | volatile |
| 5 | T�rkiye | 951,657 t | 2013 | up 67.8% | volatile |
| 5 | Republic of Moldova | 62,196 t | 2013 | down 15.6% | volatile |
| 6 | France | 714,100 t | 2013 | up 13.5% | volatile |
| 6 | Iran (Islamic Republic of) | 36,600 t | 2013 | up 86.7% | volatile |
| 7 | Hungary | 547,600 t | 2013 | up 184.0% | volatile |
| 7 | Venezuela (Bolivarian Republic of) | 32,761 t | 2013 | up 2,192.6% | volatile |
| 8 | Spain | 453,043 t | 2013 | up 0.9% | volatile |
| 9 | China, mainland | 449,409 t | 2013 | down 35.8% | volatile |
| 10 | Romania | 344,810 t | 2013 | down 25.7% | rising |
| 11 | Netherlands (Kingdom of the) | 315,200 t | 2013 | up 29.7% | volatile |
| 12 | India | 264,375 t | 2013 | down 34.6% | volatile |
| 13 | Bulgaria | 252,500 t | 2013 | up 65.0% | rising |
| 14 | South Africa | 246,431 t | 2013 | down 26.2% | volatile |
| 15 | Pakistan | 200,142 t | 2013 | up 230.2% | volatile |
| 16 | Italy | 197,700 t | 2013 | down 9.3% | volatile |
| 17 | Serbia and Montenegro | 195,250 t | 2005 | up 34.5% | flat |
| 18 | Serbia | 189,028 t | 2013 | up 21.0% | rising |
| 19 | Kazakhstan | 180,450 t | 2013 | up 40.2% | volatile |
| 20 | Germany | 172,700 t | 2013 | up 57.0% | volatile |
| 21 | Yugoslav SFR | 163,000 t | 1991 | up 26.7% | rising |
| 22 | Belgium-Luxembourg | 160,200 t | 1999 | up 17.3% | volatile |
| 23 | Portugal | 149,300 t | 2013 | up 18.2% | volatile |
| 24 | Myanmar | 147,202 t | 2013 | up 34.6% | volatile |
| 25 | Greece | 101,110 t | 2013 | up 214.3% | volatile |
| 26 | Uganda | 85,000 t | 2013 | up 45.9% | volatile |
| 27 | Brazil | 66,200 t | 2013 | up 91.3% | volatile |
| 28 | Sudan (former) | 61,680 t | 2011 | up 3,079.4% | volatile |
| 29 | Austria | 47,239 t | 2013 | down 30.2% | volatile |
| 30 | Czechoslovakia | 41,552 t | 1992 | down 33.6% | rising |
| 31 | Paraguay | 41,141 t | 2013 | up 174.7% | volatile |
| 32 | Czechia | 40,800 t | 2013 | up 16.6% | rising |
| 33 | Poland | 28,957 t | 2013 | up 95.2% | volatile |
| 34 | Australia | 25,100 t | 2013 | up 109.3% | volatile |
| 34 | Australia and New Zealand | 25,100 t | 2013 | up 109.3% | volatile |
| 36 | Egypt | 24,293 t | 2013 | up 90.9% | volatile |
| 37 | Bosnia and Herzegovina | 22,375 t | 2013 | up 97,182.6% | volatile |
| 38 | Slovakia | 22,300 t | 2013 | down 36.0% | rising |
| 39 | Morocco | 20,677 t | 2013 | down 58.5% | volatile |
| 40 | Zambia | 19,600 t | 2013 | up 409.1% | volatile |
| 41 | Canada | 19,000 t | 2013 | down 9.5% | volatile |
| 42 | Croatia | 13,800 t | 2013 | down 35.2% | rising |
| 43 | Sweden | 11,030 t | 2013 | down 5.4% | volatile |
| 44 | Azerbaijan | 9,690 t | 2013 | down 14.0% | volatile |
| 45 | Mozambique | 9,354 t | 2013 | up 172.9% | volatile |
| 46 | Georgia | 9,071 t | 2013 | down 19.6% | volatile |
| 47 | Finland | 8,675 t | 2013 | down 7.5% | volatile |
| 48 | Mexico | 8,300 t | 2013 | down 88.7% | volatile |
| 49 | Zimbabwe | 7,800 t | 2013 | up 14.7% | volatile |
| 50 | Kenya | 7,422 t | 2013 | up 23.0% | volatile |
| 51 | Switzerland | 7,300 t | 2013 | down 47.9% | volatile |
| 52 | Norway | 6,820 t | 2013 | up 15.2% | volatile |
| 53 | Angola | 6,296 t | 2013 | up 1.7% | rising |
| 54 | Tunisia | 6,072 t | 2013 | down 9.3% | volatile |
| 55 | Belgium | 6,000 t | 2013 | down 60.0% | volatile |
| 56 | Malawi | 5,148 t | 2013 | up 196.7% | volatile |
| 57 | Iraq | 3,905 t | 2013 | down 52.3% | volatile |
| 58 | Israel | 3,760 t | 2013 | down 44.0% | volatile |
| 59 | Indonesia | 3,128 t | 2013 | down 57.4% | volatile |
| 60 | Tajikistan | 3,060 t | 2013 | up 512.0% | volatile |
| 61 | Uruguay | 3,012 t | 2013 | down 78.2% | falling |
| 62 | Lithuania | 2,635 t | 2013 | up 99.5% | volatile |
| 63 | Chile | 2,300 t | 2013 | up 1,177.8% | volatile |
| 64 | Afghanistan | 1,817 t | 2013 | down 82.1% | falling |
| 65 | North Macedonia | 1,778 t | 2013 | up 19.9% | volatile |
| 66 | Algeria | 1,263 t | 2013 | up 30.2% | volatile |
| 67 | Japan | 1,148 t | 2013 | down 16.0% | volatile |
| 68 | Lebanon | 1,107 t | 2013 | down 74.3% | volatile |
| 69 | Kyrgyzstan | 987 t | 2013 | down 85.4% | volatile |
| 70 | Colombia | 973 t | 2013 | up 406.8% | volatile |
| 71 | Armenia | 900 t | 2013 | down 59.2% | volatile |
| 72 | Malaysia | 870 t | 2013 | down 55.0% | volatile |
| 73 | Belarus | 765 t | 2013 | down 78.2% | volatile |
| 74 | Botswana | 751 t | 2013 | up 98.2% | volatile |
| 75 | Albania | 750 t | 2013 | up 25.0% | volatile |
| 76 | Luxembourg | 218 t | 2013 | up 651.7% | volatile |
| 77 | Namibia | 96 t | 2013 | down 20.7% | volatile |
| 78 | Denmark | 28 t | 2013 | down 99.5% | volatile |
| 79 | Latvia | 0 t | 2013 | down 100.0% | volatile |
| 79 | United Kingdom of Great Britain and Northern Ireland | 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 14.69 million t
- Asia 2.27 million t
- Europe 10.10 million t
- Land Locked Developing Countries 493,171 t
- Eastern Europe 7.68 million t
- European Union (27) 3.43 million t
- Americas 1.60 million t
- South America 1.35 million t
- Western Europe 1.26 million t
- Southern Europe 1.13 million t
- Middle Africa 6,296 t
- Western Asia 980,090 t
- Low Income Food Deficit Countries 831,726 t
- Net Food Importing Developing Countries 813,252 t
- Africa 686,824 t
- Least developed countries 521,038 t
- Southern Asia 502,934 t
- Eastern Asia 450,557 t
- Eastern Africa 338,124 t
- Southern Africa 247,278 t
- Northern America 245,000 t
- United States of America 226,000 t
- Central Asia 184,497 t
- South-Eastern Asia 151,200 t
- Northern Africa 95,126 t
- Northern Europe 29,188 t
- Oceania 25,100 t
- Central America 8,300 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.