Rape and Mustard Oil — Export quantity 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 Mustard Oil — Export quantity is currently reported for 115 countries. The highest value is 3,260 1000 t in Canada; 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 94.72 1000 t.
Over the past decade 31 countries rose and 13 fell. The largest increase was in Uruguay (up 4,500.0%), and the largest decrease in Argentina (down 100.0%).
Rape and Mustard Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 3,260 1000 t | 2023 | up 42.5% | rising |
| 2 | Russian Federation | 1,425 1000 t | 2023 | up 367.2% | volatile |
| 3 | Germany | 1,335 1000 t | 2023 | up 15.3% | rising |
| 4 | France | 647 1000 t | 2023 | up 116.4% | rising |
| 5 | Netherlands (Kingdom of the) | 524 1000 t | 2023 | up 2.1% | falling |
| 6 | Belarus | 485 1000 t | 2023 | up 236.8% | volatile |
| 7 | Belgium | 447 1000 t | 2023 | up 23.1% | rising |
| 8 | Ukraine | 379 1000 t | 2023 | up 689.6% | volatile |
| 9 | United Arab Emirates | 350 1000 t | 2023 | up 17.8% | rising |
| 10 | Czechia | 317 1000 t | 2023 | up 3.6% | flat |
| 11 | Poland | 243 1000 t | 2023 | down 30.4% | volatile |
| 12 | Australia | 181 1000 t | 2023 | up 26.6% | rising |
| 12 | Australia and New Zealand | 181 1000 t | 2023 | up 26.6% | rising |
| 14 | Denmark | 165 1000 t | 2023 | up 101.2% | rising |
| 15 | Latvia | 81 1000 t | 2023 | up 406.2% | volatile |
| 16 | Hungary | 77 1000 t | 2023 | up 2.7% | volatile |
| 17 | Austria | 75 1000 t | 2023 | up 31.6% | rising |
| 18 | Malaysia | 74 1000 t | 2023 | up 105.6% | rising |
| 19 | United Kingdom of Great Britain and Northern Ireland | 66 1000 t | 2023 | down 70.0% | falling |
| 20 | Estonia | 64 1000 t | 2023 | up 93.9% | rising |
| 21 | Paraguay | 52 1000 t | 2023 | up 333.3% | volatile |
| 22 | Spain | 48 1000 t | 2023 | up 182.4% | volatile |
| 23 | Kazakhstan | 46 1000 t | 2023 | up 2,200.0% | volatile |
| 23 | Uruguay | 46 1000 t | 2023 | up 4,500.0% | volatile |
| 25 | Romania | 43 1000 t | 2023 | up 104.8% | rising |
| 26 | Slovakia | 41 1000 t | 2023 | down 53.4% | volatile |
| 27 | Serbia | 32 1000 t | 2023 | — | volatile |
| 28 | Greece | 31 1000 t | 2023 | — | volatile |
| 28 | Sweden | 31 1000 t | 2023 | up 3.3% | rising |
| 30 | Bulgaria | 20 1000 t | 2023 | down 13.0% | volatile |
| 31 | Lithuania | 17 1000 t | 2023 | down 5.6% | volatile |
| 32 | Croatia | 16 1000 t | 2023 | — | volatile |
| 33 | Türkiye | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 34 | India | 12 1000 t | 2023 | up 300.0% | volatile |
| 35 | Italy | 11 1000 t | 2023 | up 37.5% | flat |
| 36 | China | 10 1000 t | 2023 | down 50.0% | falling |
| 37 | Bosnia and Herzegovina | 9 1000 t | 2023 | up 50.0% | volatile |
| 37 | Slovenia | 9 1000 t | 2023 | up 50.0% | volatile |
| 39 | Bangladesh | 7 1000 t | 2023 | up 250.0% | volatile |
| 39 | China, mainland | 7 1000 t | 2023 | up 16.7% | volatile |
| 41 | Finland | 3 1000 t | 2023 | — | volatile |
| 41 | China, Hong Kong SAR | 3 1000 t | 2023 | down 78.6% | volatile |
| 43 | Ireland | 2 1000 t | 2023 | down 71.4% | rising |
| 43 | Portugal | 2 1000 t | 2023 | down 50.0% | volatile |
| 45 | Brazil | 1 1000 t | 2023 | — | volatile |
| 45 | Chile | 1 1000 t | 2023 | down 87.5% | volatile |
| 45 | Mexico | 1 1000 t | 2023 | down 50.0% | volatile |
| 45 | Mongolia | 1 1000 t | 2022 | — | volatile |
| 45 | Norway | 1 1000 t | 2023 | — | volatile |
| 45 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 51 | Albania | 0 1000 t | 2022 | — | flat |
| 51 | Argentina | 0 1000 t | 2017 | down 100.0% | volatile |
| 51 | Bahrain | 0 1000 t | 2023 | — | flat |
| 51 | Bahamas | 0 1000 t | 2017 | — | flat |
| 51 | Botswana | 0 1000 t | 2023 | — | flat |
| 51 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 51 | Cameroon | 0 1000 t | 2022 | — | flat |
| 51 | Colombia | 0 1000 t | 2023 | — | flat |
| 51 | Costa Rica | 0 1000 t | 2020 | — | flat |
| 51 | Cyprus | 0 1000 t | 2015 | — | flat |
| 51 | Algeria | 0 1000 t | 2022 | — | volatile |
| 51 | Ecuador | 0 1000 t | 2021 | — | flat |
| 51 | Egypt | 0 1000 t | 2023 | — | volatile |
| 51 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 51 | Fiji | 0 1000 t | 2023 | — | flat |
| 51 | Georgia | 0 1000 t | 2022 | — | flat |
| 51 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 51 | Guatemala | 0 1000 t | 2023 | — | flat |
| 51 | Guyana | 0 1000 t | 2023 | — | flat |
| 51 | Honduras | 0 1000 t | 2021 | — | flat |
| 51 | Indonesia | 0 1000 t | 2023 | — | flat |
| 51 | Iceland | 0 1000 t | 2023 | — | flat |
| 51 | Israel | 0 1000 t | 2023 | — | flat |
| 51 | Kenya | 0 1000 t | 2023 | — | flat |
| 51 | Kyrgyzstan | 0 1000 t | 2021 | — | flat |
| 51 | Kuwait | 0 1000 t | 2023 | — | flat |
| 51 | Lebanon | 0 1000 t | 2023 | — | flat |
| 51 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 51 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 51 | Morocco | 0 1000 t | 2023 | — | volatile |
| 51 | North Macedonia | 0 1000 t | 2021 | — | flat |
| 51 | Malta | 0 1000 t | 2021 | — | flat |
| 51 | Mauritius | 0 1000 t | 2023 | — | flat |
| 51 | Namibia | 0 1000 t | 2023 | — | flat |
| 51 | Niger | 0 1000 t | 2020 | — | flat |
| 51 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 51 | Nepal | 0 1000 t | 2023 | — | flat |
| 51 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 51 | Oman | 0 1000 t | 2023 | — | volatile |
| 51 | Peru | 0 1000 t | 2023 | — | flat |
| 51 | Philippines | 0 1000 t | 2023 | — | flat |
| 51 | Rwanda | 0 1000 t | 2022 | — | flat |
| 51 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 51 | Senegal | 0 1000 t | 2023 | — | flat |
| 51 | El Salvador | 0 1000 t | 2020 | — | flat |
| 51 | Eswatini | 0 1000 t | 2022 | — | flat |
| 51 | Thailand | 0 1000 t | 2023 | — | volatile |
| 51 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 51 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 51 | Uganda | 0 1000 t | 2022 | — | flat |
| 51 | Samoa | 0 1000 t | 2021 | — | flat |
| 51 | Yemen | 0 1000 t | 2021 | — | flat |
| 51 | Zambia | 0 1000 t | 2014 | — | flat |
| 51 | Zimbabwe | 0 1000 t | 2021 | — | flat |
| 51 | Melanesia | 0 1000 t | 2023 | — | flat |
| 51 | Polynesia | 0 1000 t | 2021 | — | flat |
| 51 | Caribbean | 0 1000 t | 2023 | — | flat |
| 51 | Iran (Islamic Republic of) | 0 1000 t | 2022 | — | flat |
| 51 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 51 | Republic of Moldova | 0 1000 t | 2021 | — | flat |
| 51 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 51 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 51 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 51 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 51 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 10,795 1000 t
- Europe 6,645 1000 t
- European Union (27) 4,248 1000 t
- Americas 3,444 1000 t
- Northern America 3,342 1000 t
- Eastern Europe 3,030 1000 t
- Western Europe 3,028 1000 t
- Asia 521 1000 t
- Northern Europe 429 1000 t
- Western Asia 363 1000 t
- Oceania 181 1000 t
- Southern Europe 158 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.