Brans — 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
Brans — Stock Variation is currently reported for 85 countries. The highest value is 36,504 t in France; the lowest is -9,000 t in Spain.
The median across all reporting countries is 0 t, and the mean is 988.78 t.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 16 countries rose and 11 fell. The largest increase was in Sweden (up 500.0%), and the largest decrease in Estonia (down 100.0%).
Brans — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | France | 36,504 t | 2013 | up 372.9% | volatile |
| 2 | Poland | 20,000 t | 2013 | — | flat |
| 3 | Finland | 10,500 t | 2013 | up 400.0% | flat |
| 4 | Hungary | 6,000 t | 2013 | — | flat |
| 5 | Netherlands (Kingdom of the) | 5,000 t | 2013 | — | flat |
| 6 | Luxembourg | 3,600 t | 2013 | up 282.3% | volatile |
| 7 | Czechia | 2,200 t | 2013 | up 450.0% | flat |
| 8 | Germany | 2,000 t | 2013 | down 73.0% | volatile |
| 8 | Guinea | 2,000 t | 2013 | up 113.3% | volatile |
| 10 | United Arab Emirates | 1,500 t | 2013 | — | volatile |
| 11 | Benin | 1,000 t | 2013 | — | flat |
| 12 | Sweden | 800 t | 2013 | up 500.0% | flat |
| 13 | Denmark | 686 t | 2013 | down 80.9% | volatile |
| 14 | Egypt | 500 t | 2013 | — | flat |
| 15 | North Macedonia | 300 t | 2013 | — | flat |
| 16 | New Zealand | 200 t | 2013 | down 77.8% | flat |
| 16 | Australia and New Zealand | 200 t | 2013 | down 77.8% | flat |
| 18 | Austria | 15 t | 2013 | — | volatile |
| 18 | New Caledonia | 15 t | 2013 | — | flat |
| 18 | Melanesia | 15 t | 2013 | — | flat |
| 21 | El Salvador | 12 t | 2013 | — | flat |
| 22 | Argentina | 0 t | 2013 | — | flat |
| 22 | Australia | 0 t | 2013 | — | flat |
| 22 | Bulgaria | 0 t | 2013 | — | volatile |
| 22 | Bahamas | 0 t | 2013 | — | flat |
| 22 | Brazil | 0 t | 2013 | up 100.0% | flat |
| 22 | Botswana | 0 t | 2013 | up 100.0% | volatile |
| 22 | Canada | 0 t | 2013 | — | flat |
| 22 | Cameroon | 0 t | 2013 | — | flat |
| 22 | Congo | 0 t | 2013 | up 100.0% | flat |
| 22 | Colombia | 0 t | 2013 | — | flat |
| 22 | Estonia | 0 t | 2013 | down 100.0% | flat |
| 22 | Gabon | 0 t | 2013 | — | flat |
| 22 | Ghana | 0 t | 2013 | — | flat |
| 22 | Guatemala | 0 t | 2013 | — | volatile |
| 22 | Guyana | 0 t | 2013 | — | flat |
| 22 | Honduras | 0 t | 2013 | — | flat |
| 22 | Haiti | 0 t | 2013 | — | flat |
| 22 | Indonesia | 0 t | 2013 | — | flat |
| 22 | Ireland | 0 t | 2013 | — | flat |
| 22 | Israel | 0 t | 2013 | — | flat |
| 22 | Italy | 0 t | 2013 | — | flat |
| 22 | Kazakhstan | 0 t | 2013 | — | flat |
| 22 | Cambodia | 0 t | 2013 | — | flat |
| 22 | Kuwait | 0 t | 2013 | — | flat |
| 22 | Lebanon | 0 t | 2013 | up 100.0% | flat |
| 22 | Liberia | 0 t | 2013 | — | flat |
| 22 | Sri Lanka | 0 t | 2013 | — | volatile |
| 22 | Lithuania | 0 t | 2013 | up 100.0% | flat |
| 22 | Latvia | 0 t | 2013 | — | flat |
| 22 | Mongolia | 0 t | 2013 | — | flat |
| 22 | Mauritius | 0 t | 2013 | — | flat |
| 22 | Malawi | 0 t | 2013 | — | flat |
| 22 | Malaysia | 0 t | 2013 | — | flat |
| 22 | Namibia | 0 t | 2013 | down 100.0% | flat |
| 22 | Nicaragua | 0 t | 2013 | — | flat |
| 22 | Norway | 0 t | 2013 | — | flat |
| 22 | Nepal | 0 t | 2013 | — | flat |
| 22 | Oman | 0 t | 2013 | down 100.0% | flat |
| 22 | Portugal | 0 t | 2013 | — | flat |
| 22 | Romania | 0 t | 2013 | — | flat |
| 22 | Saudi Arabia | 0 t | 2013 | up 100.0% | flat |
| 22 | Serbia | 0 t | 2013 | up 100.0% | flat |
| 22 | Slovenia | 0 t | 2013 | — | flat |
| 22 | Eswatini | 0 t | 2013 | up 100.0% | flat |
| 22 | Togo | 0 t | 2013 | — | flat |
| 22 | Thailand | 0 t | 2013 | up 100.0% | volatile |
| 22 | Tunisia | 0 t | 2013 | — | flat |
| 22 | Uganda | 0 t | 2013 | — | flat |
| 22 | Ukraine | 0 t | 2013 | down 100.0% | flat |
| 22 | Zimbabwe | 0 t | 2013 | — | flat |
| 22 | Sudan (former) | 0 t | 2011 | up 100.0% | flat |
| 22 | Caribbean | 0 t | 2013 | — | flat |
| 22 | China, Hong Kong SAR | 0 t | 2013 | — | flat |
| 22 | Iran (Islamic Republic of) | 0 t | 2013 | down 100.0% | flat |
| 22 | Republic of Moldova | 0 t | 2013 | — | flat |
| 22 | Russian Federation | 0 t | 2013 | down 100.0% | flat |
| 22 | Viet Nam | 0 t | 2013 | — | flat |
| 22 | Belgium-Luxembourg | 0 t | 1999 | — | flat |
| 22 | China, mainland | 0 t | 2013 | — | volatile |
| 22 | United Republic of Tanzania | 0 t | 2013 | — | flat |
| 22 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2013 | — | flat |
| 22 | C�te d'Ivoire | 0 t | 2013 | — | flat |
| 22 | China, Macao SAR | 0 t | 2013 | — | flat |
| 85 | Spain | -9,000 t | 2013 | down 80.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 83,832 t
- Europe 78,605 t
- European Union (27) 78,305 t
- Western Europe 47,119 t
- Eastern Europe 28,200 t
- Northern Europe 11,986 t
- Net Food Importing Developing Countries 3,512 t
- Africa 3,500 t
- Least Developed Countries 3,000 t
- Western Africa 3,000 t
- Low Income Food Deficit Countries 3,000 t
- Asia 1,500 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.