Rape and Mustardseed — Feed by country
A 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 — Feed is currently reported for 133 countries. The highest value is 3,659 1000 t in China; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 79.69 1000 t.
Over the past decade 14 countries rose and 23 fell. The largest increase was in Bulgaria (up 4,900.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Rape and Mustardseed — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 3,659 1000 t | 2023 | up 18.0% | rising |
| 1 | China, mainland | 3,659 1000 t | 2023 | up 18.0% | rising |
| 3 | India | 1,347 1000 t | 2023 | up 616.5% | volatile |
| 4 | Russian Federation | 737 1000 t | 2023 | up 9.0% | volatile |
| 5 | Ukraine | 203 1000 t | 2023 | up 1,253.3% | volatile |
| 6 | Belgium | 147 1000 t | 2023 | down 41.2% | falling |
| 7 | Pakistan | 126 1000 t | 2023 | up 600.0% | volatile |
| 8 | Mexico | 112 1000 t | 2023 | up 261.3% | volatile |
| 9 | Canada | 82 1000 t | 2023 | down 64.8% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 68 1000 t | 2023 | down 34.0% | volatile |
| 11 | Denmark | 56 1000 t | 2023 | down 42.9% | falling |
| 12 | Bulgaria | 50 1000 t | 2023 | up 4,900.0% | volatile |
| 13 | Germany | 46 1000 t | 2023 | down 68.5% | volatile |
| 14 | Austria | 38 1000 t | 2023 | — | volatile |
| 15 | Belarus | 34 1000 t | 2023 | down 32.0% | volatile |
| 15 | Sweden | 34 1000 t | 2023 | up 126.7% | volatile |
| 17 | Uruguay | 33 1000 t | 2023 | — | volatile |
| 18 | Greece | 22 1000 t | 2023 | up 450.0% | volatile |
| 19 | United Arab Emirates | 20 1000 t | 2023 | up 100.0% | volatile |
| 20 | Bangladesh | 19 1000 t | 2023 | up 280.0% | volatile |
| 20 | Kazakhstan | 19 1000 t | 2023 | down 5.0% | rising |
| 22 | Netherlands (Kingdom of the) | 15 1000 t | 2023 | down 42.3% | volatile |
| 23 | Argentina | 14 1000 t | 2023 | — | volatile |
| 24 | Hungary | 12 1000 t | 2023 | — | volatile |
| 25 | New Zealand | 7 1000 t | 2023 | up 600.0% | volatile |
| 25 | Australia and New Zealand | 7 1000 t | 2023 | up 600.0% | volatile |
| 27 | Slovakia | 6 1000 t | 2023 | — | volatile |
| 28 | Czechia | 5 1000 t | 2023 | down 90.9% | volatile |
| 28 | Republic of Moldova | 5 1000 t | 2023 | — | volatile |
| 30 | Mongolia | 4 1000 t | 2023 | down 80.0% | volatile |
| 31 | Finland | 3 1000 t | 2023 | — | volatile |
| 32 | Norway | 2 1000 t | 2023 | down 66.7% | falling |
| 32 | Portugal | 2 1000 t | 2023 | — | volatile |
| 32 | Tunisia | 2 1000 t | 2023 | down 50.0% | falling |
| 35 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 35 | Algeria | 1 1000 t | 2023 | — | volatile |
| 35 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 35 | Viet Nam | 1 1000 t | 2023 | down 92.9% | volatile |
| 39 | Angola | 0 1000 t | 2023 | — | flat |
| 39 | Albania | 0 1000 t | 2023 | — | flat |
| 39 | Armenia | 0 1000 t | 2022 | — | flat |
| 39 | Australia | 0 1000 t | 2021 | — | volatile |
| 39 | Burkina Faso | 0 1000 t | 2020 | — | flat |
| 39 | Bahrain | 0 1000 t | 2023 | — | flat |
| 39 | Bahamas | 0 1000 t | 2023 | — | flat |
| 39 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Belize | 0 1000 t | 2023 | — | flat |
| 39 | Barbados | 0 1000 t | 2023 | — | flat |
| 39 | Botswana | 0 1000 t | 2023 | — | flat |
| 39 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 39 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Colombia | 0 1000 t | 2023 | — | flat |
| 39 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 39 | Cyprus | 0 1000 t | 2023 | — | flat |
| 39 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 39 | Ecuador | 0 1000 t | 2023 | — | flat |
| 39 | Spain | 0 1000 t | 2021 | — | volatile |
| 39 | Estonia | 0 1000 t | 2022 | down 100.0% | volatile |
| 39 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 39 | Fiji | 0 1000 t | 2023 | — | flat |
| 39 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Gabon | 0 1000 t | 2023 | — | flat |
| 39 | Georgia | 0 1000 t | 2023 | — | flat |
| 39 | Ghana | 0 1000 t | 2023 | — | flat |
| 39 | Guinea | 0 1000 t | 2023 | — | flat |
| 39 | Gambia | 0 1000 t | 2023 | — | flat |
| 39 | Grenada | 0 1000 t | 2023 | — | flat |
| 39 | Guatemala | 0 1000 t | 2023 | — | flat |
| 39 | Honduras | 0 1000 t | 2023 | — | flat |
| 39 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Haiti | 0 1000 t | 2023 | — | flat |
| 39 | Indonesia | 0 1000 t | 2023 | — | flat |
| 39 | Ireland | 0 1000 t | 2023 | — | volatile |
| 39 | Iraq | 0 1000 t | 2023 | — | flat |
| 39 | Iceland | 0 1000 t | 2023 | — | flat |
| 39 | Israel | 0 1000 t | 2023 | — | volatile |
| 39 | Italy | 0 1000 t | 2023 | — | volatile |
| 39 | Jamaica | 0 1000 t | 2023 | — | flat |
| 39 | Jordan | 0 1000 t | 2023 | — | flat |
| 39 | Kenya | 0 1000 t | 2023 | — | flat |
| 39 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 39 | Lebanon | 0 1000 t | 2023 | — | flat |
| 39 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 39 | Lesotho | 0 1000 t | 2023 | — | flat |
| 39 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 39 | Latvia | 0 1000 t | 2023 | — | flat |
| 39 | Morocco | 0 1000 t | 2023 | — | volatile |
| 39 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 39 | Malta | 0 1000 t | 2023 | — | flat |
| 39 | Mozambique | 0 1000 t | 2023 | — | flat |
| 39 | Mauritius | 0 1000 t | 2023 | — | flat |
| 39 | Malawi | 0 1000 t | 2023 | — | flat |
| 39 | Malaysia | 0 1000 t | 2023 | — | flat |
| 39 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 39 | Nigeria | 0 1000 t | 2023 | — | flat |
| 39 | Nepal | 0 1000 t | 2023 | — | flat |
| 39 | Oman | 0 1000 t | 2023 | — | flat |
| 39 | Philippines | 0 1000 t | 2023 | — | flat |
| 39 | Poland | 0 1000 t | 2023 | — | volatile |
| 39 | Paraguay | 0 1000 t | 2023 | — | flat |
| 39 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 39 | Romania | 0 1000 t | 2023 | — | volatile |
| 39 | Rwanda | 0 1000 t | 2023 | — | flat |
| 39 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 39 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 39 | El Salvador | 0 1000 t | 2023 | — | flat |
| 39 | Serbia | 0 1000 t | 2023 | — | flat |
| 39 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 39 | Eswatini | 0 1000 t | 2023 | — | flat |
| 39 | Seychelles | 0 1000 t | 2023 | — | flat |
| 39 | Thailand | 0 1000 t | 2023 | — | volatile |
| 39 | Tonga | 0 1000 t | 2023 | — | flat |
| 39 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 39 | Uganda | 0 1000 t | 2023 | — | flat |
| 39 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 39 | Saint Vincent and the Grenadines | 0 1000 t | 2021 | — | flat |
| 39 | Samoa | 0 1000 t | 2023 | — | flat |
| 39 | Yemen | 0 1000 t | 2023 | — | flat |
| 39 | Zambia | 0 1000 t | 2022 | — | flat |
| 39 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 39 | Cabo Verde | 0 1000 t | 2021 | — | flat |
| 39 | Melanesia | 0 1000 t | 2023 | — | flat |
| 39 | Polynesia | 0 1000 t | 2023 | — | flat |
| 39 | Democratic Republic of the Congo | 0 1000 t | 2022 | down 100.0% | volatile |
| 39 | Caribbean | 0 1000 t | 2023 | — | flat |
| 39 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 39 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 39 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 39 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 7,023 1000 t
- Asia 5,242 1000 t
- Eastern Asia 3,707 1000 t
- Southern Asia 1,493 1000 t
- Europe 1,483 1000 t
- Eastern Europe 1,052 1000 t
- European Union (27) 434 1000 t
- Americas 270 1000 t
- Western Europe 245 1000 t
- Net Food Importing Developing Countries (NFIDCs) 165 1000 t
- Northern Europe 163 1000 t
- Central America 112 1000 t
About this data
A 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 capita 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.