Rape and Mustardseed — 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
Rape and Mustardseed — Stock Variation is currently reported for 78 countries. The highest value is 534,091 t in Australia; the lowest is -2.98 million t in Canada.
The median across all reporting countries is 0 t, and the mean is -24,661 t.
Over the past decade 20 countries rose and 25 fell. The largest increase was in Netherlands (Kingdom of the) (up 23,700.0%), and the largest decrease in Hungary (down 32,100.0%).
Rape and Mustardseed — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 534,091 t | 2013 | up 181.5% | volatile |
| 1 | Australia and New Zealand | 534,091 t | 2013 | up 181.5% | volatile |
| 3 | Belgium | 350,000 t | 2013 | up 400.0% | flat |
| 4 | France | 300,000 t | 2013 | up 25.0% | volatile |
| 5 | Netherlands (Kingdom of the) | 295,000 t | 2013 | up 23,700.0% | volatile |
| 6 | Poland | 239,969 t | 2013 | up 167.3% | volatile |
| 7 | Ukraine | 221,490 t | 2013 | up 1,846.9% | volatile |
| 8 | Slovakia | 127,000 t | 2013 | up 284.8% | volatile |
| 9 | Mexico | 107,573 t | 2013 | up 304.1% | volatile |
| 10 | Belarus | 100,000 t | 2013 | — | flat |
| 11 | United Arab Emirates | 90,000 t | 2013 | — | flat |
| 12 | Bulgaria | 50,000 t | 2013 | up 1,350.0% | flat |
| 12 | Lithuania | 50,000 t | 2013 | up 733.3% | flat |
| 12 | Pakistan | 50,000 t | 2013 | up 162.5% | volatile |
| 15 | Argentina | 35,250 t | 2013 | up 701.2% | volatile |
| 16 | Yugoslav SFR | 30,000 t | 1991 | — | flat |
| 17 | Republic of Moldova | 28,000 t | 2013 | — | volatile |
| 18 | Romania | 22,000 t | 2013 | up 340.0% | volatile |
| 19 | Czechoslovakia | 20,000 t | 1992 | — | flat |
| 20 | Israel | 6,000 t | 2013 | — | volatile |
| 21 | Italy | 3,699 t | 2013 | up 1,034.7% | volatile |
| 22 | Serbia | 2,000 t | 2013 | — | volatile |
| 23 | Belgium-Luxembourg | 1,500 t | 1999 | — | flat |
| 24 | Norway | 1,000 t | 2013 | down 25.9% | volatile |
| 25 | Azerbaijan | 0 t | 2013 | down 100.0% | flat |
| 25 | Switzerland | 0 t | 2013 | down 100.0% | flat |
| 25 | Chile | 0 t | 2013 | up 100.0% | volatile |
| 25 | Czechia | 0 t | 2013 | down 100.0% | flat |
| 25 | Ecuador | 0 t | 2013 | — | flat |
| 25 | Egypt | 0 t | 2013 | — | flat |
| 25 | Estonia | 0 t | 2013 | — | volatile |
| 25 | Ethiopia | 0 t | 2013 | — | flat |
| 25 | Fiji | 0 t | 2013 | — | flat |
| 25 | Georgia | 0 t | 2013 | down 100.0% | flat |
| 25 | Ireland | 0 t | 2013 | — | flat |
| 25 | Kenya | 0 t | 2013 | — | flat |
| 25 | Kyrgyzstan | 0 t | 2013 | — | volatile |
| 25 | Luxembourg | 0 t | 2013 | down 100.0% | volatile |
| 25 | Morocco | 0 t | 2013 | — | flat |
| 25 | North Macedonia | 0 t | 2013 | down 100.0% | flat |
| 25 | Malta | 0 t | 2013 | — | flat |
| 25 | Mongolia | 0 t | 2013 | down 100.0% | flat |
| 25 | Mauritius | 0 t | 2013 | — | flat |
| 25 | Malaysia | 0 t | 2013 | down 100.0% | flat |
| 25 | Namibia | 0 t | 2013 | down 100.0% | flat |
| 25 | New Zealand | 0 t | 2013 | — | flat |
| 25 | Panama | 0 t | 2013 | — | flat |
| 25 | Philippines | 0 t | 2013 | up 100.0% | volatile |
| 25 | Portugal | 0 t | 2013 | — | flat |
| 25 | Saudi Arabia | 0 t | 2013 | — | flat |
| 25 | Senegal | 0 t | 2013 | — | flat |
| 25 | Slovenia | 0 t | 2013 | down 100.0% | volatile |
| 25 | Sweden | 0 t | 2013 | down 100.0% | volatile |
| 25 | Eswatini | 0 t | 2013 | — | volatile |
| 25 | Thailand | 0 t | 2013 | up 100.0% | flat |
| 25 | Zimbabwe | 0 t | 2013 | down 100.0% | flat |
| 25 | USSR | 0 t | 1991 | down 100.0% | flat |
| 25 | Sudan (former) | 0 t | 2011 | — | flat |
| 25 | Melanesia | 0 t | 2013 | — | flat |
| 25 | Iran (Islamic Republic of) | 0 t | 2013 | — | flat |
| 25 | Russian Federation | 0 t | 2013 | up 100.0% | volatile |
| 25 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | flat |
| 25 | China, mainland | 0 t | 2013 | down 100.0% | flat |
| 25 | United Republic of Tanzania | 0 t | 2013 | down 100.0% | flat |
| 25 | China, Taiwan Province of | 0 t | 2013 | — | flat |
| 25 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2013 | — | volatile |
| 67 | Denmark | -1,262 t | 2013 | up 96.7% | volatile |
| 68 | Bosnia and Herzegovina | -4,000 t | 2013 | — | volatile |
| 69 | Croatia | -5,500 t | 2013 | — | volatile |
| 70 | Austria | -9,531 t | 2013 | down 123.2% | volatile |
| 71 | Latvia | -11,209 t | 2013 | down 4.2% | volatile |
| 72 | Nepal | -20,000 t | 2013 | down 500.0% | volatile |
| 73 | Spain | -25,000 t | 2013 | down 189.9% | volatile |
| 74 | Kazakhstan | -45,000 t | 2013 | down 1,600.0% | volatile |
| 75 | Japan | -57,203 t | 2013 | down 379.3% | volatile |
| 76 | Hungary | -120,000 t | 2013 | down 32,100.0% | volatile |
| 77 | Germany | -1.84 million t | 2013 | down 2,048.3% | volatile |
| 78 | Canada | -2.98 million t | 2013 | down 371.5% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Europe 668,459 t
- Oceania 534,091 t
- Central America 107,573 t
- Western Asia 96,000 t
- Northern Europe 38,529 t
- South America 35,250 t
- Southern Asia 30,000 t
- Low Income Food Deficit Countries 30,000 t
- Net Food Importing Developing Countries 30,000 t
- Asia 23,797 t
- Africa 637.17 t
- South Africa 637.17 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.