Oilseed Cakes, Other — Stock Variation 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 — Stock Variation is currently reported for 71 countries. The highest value is 965,221 t in India; the lowest is -500 t in Croatia.
The median across all reporting countries is 0 t, and the mean is 14,155 t.
The gap between the highest and lowest reporting country is a factor of about 1,930.
Over the past decade 13 countries rose and 12 fell. The largest increase was in Hungary (up 2,600.0%), and the largest decrease in Croatia (down 1,100.0%).
Oilseed Cakes, Other — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 965,221 t | 2013 | up 1,996.5% | volatile |
| 2 | Hungary | 25,000 t | 2013 | up 2,600.0% | volatile |
| 3 | France | 13,653 t | 2013 | up 371.9% | volatile |
| 3 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | flat |
| 4 | Kazakhstan | 1,000 t | 2013 | — | flat |
| 5 | Argentina | 500 t | 2013 | — | flat |
| 6 | Ghana | 100 t | 2013 | — | volatile |
| 7 | Peru | 25 t | 2013 | — | flat |
| 8 | Jordan | 10 t | 2013 | up 102.0% | flat |
| 9 | T�rkiye | 0 t | 2013 | — | flat |
| 9 | Romania | 0 t | 2013 | — | flat |
| 9 | Senegal | 0 t | 2013 | — | flat |
| 9 | Slovakia | 0 t | 2013 | down 100.0% | volatile |
| 9 | Slovenia | 0 t | 2013 | — | flat |
| 9 | Sweden | 0 t | 2013 | up 100.0% | flat |
| 9 | Eswatini | 0 t | 2013 | down 100.0% | flat |
| 9 | Thailand | 0 t | 2013 | — | flat |
| 9 | Tunisia | 0 t | 2013 | — | flat |
| 9 | Ukraine | 0 t | 2013 | up 100.0% | flat |
| 9 | Uruguay | 0 t | 2013 | — | flat |
| 9 | Yugoslav SFR | 0 t | 1991 | — | flat |
| 9 | South Africa | 0 t | 2013 | down 100.0% | flat |
| 9 | Zambia | 0 t | 2013 | down 100.0% | flat |
| 9 | China, Hong Kong SAR | 0 t | 2013 | — | flat |
| 9 | Ethiopia PDR | 0 t | 1992 | — | flat |
| 9 | C�te d'Ivoire | 0 t | 2013 | — | flat |
| 9 | Sudan (former) | 0 t | 2011 | — | flat |
| 9 | Netherlands (Kingdom of the) | 0 t | 2013 | up 100.0% | flat |
| 9 | China, Macao SAR | 0 t | 2013 | — | flat |
| 9 | China, Taiwan Province of | 0 t | 2013 | — | flat |
| 9 | China, mainland | 0 t | 2013 | — | flat |
| 9 | Australia and New Zealand | 0 t | 2013 | down 100.0% | flat |
| 9 | Belgium-Luxembourg | 0 t | 1999 | — | flat |
| 9 | Russian Federation | 0 t | 2013 | up 100.0% | volatile |
| 9 | Estonia | 0 t | 2013 | — | flat |
| 9 | Ireland | 0 t | 2013 | — | flat |
| 9 | Indonesia | 0 t | 2013 | — | flat |
| 9 | Belgium | 0 t | 2013 | down 100.0% | flat |
| 9 | Greece | 0 t | 2013 | — | flat |
| 9 | Belarus | 0 t | 2013 | — | flat |
| 9 | Brazil | 0 t | 2013 | — | flat |
| 9 | Botswana | 0 t | 2013 | up 100.0% | flat |
| 9 | Central African Republic | 0 t | 2013 | — | flat |
| 9 | Finland | 0 t | 2013 | — | flat |
| 9 | Australia | 0 t | 2013 | down 100.0% | flat |
| 9 | Spain | 0 t | 2013 | up 100.0% | volatile |
| 9 | Egypt | 0 t | 2013 | down 100.0% | flat |
| 9 | Switzerland | 0 t | 2013 | — | flat |
| 9 | Colombia | 0 t | 2013 | down 100.0% | flat |
| 9 | Costa Rica | 0 t | 2013 | down 100.0% | flat |
| 9 | Denmark | 0 t | 2013 | up 100.0% | flat |
| 9 | Germany | 0 t | 2013 | — | flat |
| 9 | Cyprus | 0 t | 2013 | — | flat |
| 9 | Lithuania | 0 t | 2013 | — | flat |
| 9 | Philippines | 0 t | 2013 | — | flat |
| 9 | Pakistan | 0 t | 2013 | — | flat |
| 9 | Norway | 0 t | 2013 | up 100.0% | flat |
| 9 | Malaysia | 0 t | 2013 | — | flat |
| 9 | Malawi | 0 t | 2013 | — | flat |
| 9 | Mauritius | 0 t | 2013 | down 100.0% | flat |
| 9 | Malta | 0 t | 2013 | — | flat |
| 9 | Morocco | 0 t | 2013 | — | flat |
| 9 | Sri Lanka | 0 t | 2013 | — | flat |
| 9 | Lebanon | 0 t | 2013 | — | flat |
| 9 | Kuwait | 0 t | 2013 | — | flat |
| 9 | Kyrgyzstan | 0 t | 2013 | up 100.0% | flat |
| 9 | Japan | 0 t | 2013 | — | flat |
| 9 | Portugal | 0 t | 2013 | — | flat |
| 9 | Italy | 0 t | 2013 | — | flat |
| 9 | Israel | 0 t | 2013 | — | flat |
| 70 | Croatia | -500 t | 2013 | down 1,100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1.01 million t
- Asia 966,231 t
- Low Income Food Deficit Countries 965,321 t
- Land Locked Developing Countries 1,000 t
- Southern Asia 965,221 t
- Middle Africa 0 t
- Europe 38,153 t
- Eastern Europe 25,000 t
- Western Europe 13,653 t
- Central Asia 1,000 t
- Americas 525 t
- South America 525 t
- Africa 100 t
- Western Africa 100 t
- Net Food Importing Developing Countries 35 t
- Western Asia 10 t
- Eastern Asia 0 t
- South-Eastern Asia 0 t
- Northern Europe 0 t
- Central America 0 t
- Southern Africa 0 t
- Small Island Developing States 0 t
- Northern Africa 0 t
- Eastern Africa 0 t
- Least developed countries 0 t
- Oceania 0 t
- Southern Europe -500 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.