Rape and Mustard Oil — Production 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 — Production is currently reported for 67 countries. The highest value is 4,422 1000 t in Canada; the lowest is 0 1000 t in Slovenia.
The median across all reporting countries is 59 1000 t, and the mean is 503.79 1000 t.
Over the past decade 38 countries rose and 19 fell. The largest increase was in Estonia (up 914.3%), and the largest decrease in Israel (down 100.0%).
Rape and Mustard Oil — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 4,422 1000 t | 2023 | up 56.5% | rising |
| 2 | China, mainland | 4,326 1000 t | 2023 | down 14.5% | falling |
| 2 | China | 4,326 1000 t | 2023 | down 14.5% | falling |
| 4 | Germany | 4,182 1000 t | 2023 | up 33.2% | rising |
| 5 | India | 3,535 1000 t | 2023 | up 53.4% | rising |
| 6 | France | 1,887 1000 t | 2023 | up 1.7% | falling |
| 7 | Russian Federation | 1,602 1000 t | 2023 | up 543.4% | volatile |
| 8 | Poland | 1,482 1000 t | 2023 | up 53.1% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 732 1000 t | 2023 | down 2.3% | falling |
| 10 | Belgium | 665 1000 t | 2023 | up 17.5% | rising |
| 11 | Pakistan | 635 1000 t | 2023 | up 111.0% | rising |
| 12 | Australia | 554 1000 t | 2023 | up 62.5% | rising |
| 12 | Australia and New Zealand | 554 1000 t | 2023 | up 62.5% | rising |
| 14 | Mexico | 549 1000 t | 2023 | down 5.2% | falling |
| 15 | Czechia | 504 1000 t | 2023 | up 29.2% | rising |
| 16 | Belarus | 453 1000 t | 2023 | up 77.0% | rising |
| 17 | United Arab Emirates | 442 1000 t | 2023 | up 66.2% | rising |
| 18 | Ukraine | 388 1000 t | 2023 | up 646.2% | volatile |
| 19 | Denmark | 284 1000 t | 2023 | up 59.6% | rising |
| 20 | Bangladesh | 233 1000 t | 2023 | up 158.9% | rising |
| 21 | Romania | 162 1000 t | 2023 | up 25.6% | rising |
| 22 | Sweden | 155 1000 t | 2023 | up 32.5% | rising |
| 23 | Austria | 134 1000 t | 2023 | down 7.6% | flat |
| 24 | Hungary | 131 1000 t | 2023 | up 191.1% | volatile |
| 25 | Iran (Islamic Republic of) | 117 1000 t | 2023 | up 67.1% | rising |
| 26 | Nepal | 116 1000 t | 2023 | up 50.6% | rising |
| 27 | Lithuania | 109 1000 t | 2023 | up 67.7% | rising |
| 28 | Slovakia | 100 1000 t | 2023 | up 108.3% | rising |
| 29 | Spain | 95 1000 t | 2023 | up 163.9% | rising |
| 30 | Türkiye | 77 1000 t | 2023 | down 26.7% | falling |
| 31 | Kazakhstan | 75 1000 t | 2023 | up 102.7% | rising |
| 32 | Estonia | 71 1000 t | 2023 | up 914.3% | rising |
| 33 | Finland | 66 1000 t | 2023 | down 20.5% | falling |
| 34 | Greece | 59 1000 t | 2023 | up 391.7% | volatile |
| 34 | Bulgaria | 59 1000 t | 2023 | up 136.0% | rising |
| 36 | Uruguay | 58 1000 t | 2023 | up 480.0% | volatile |
| 37 | Portugal | 54 1000 t | 2023 | up 1.9% | falling |
| 38 | Latvia | 53 1000 t | 2023 | up 12.8% | rising |
| 38 | Brazil | 53 1000 t | 2023 | up 165.0% | rising |
| 40 | Chile | 43 1000 t | 2023 | down 23.2% | rising |
| 41 | Switzerland | 36 1000 t | 2023 | up 20.0% | rising |
| 42 | Italy | 34 1000 t | 2023 | unchanged | falling |
| 43 | Malaysia | 26 1000 t | 2023 | up 420.0% | volatile |
| 44 | Paraguay | 25 1000 t | 2023 | down 7.4% | falling |
| 45 | Serbia | 18 1000 t | 2023 | up 800.0% | volatile |
| 46 | Croatia | 13 1000 t | 2023 | up 44.4% | volatile |
| 46 | Ireland | 13 1000 t | 2023 | up 18.2% | falling |
| 48 | Netherlands (Kingdom of the) | 9 1000 t | 2023 | down 97.5% | volatile |
| 49 | Myanmar | 8 1000 t | 2023 | down 33.3% | falling |
| 49 | Algeria | 8 1000 t | 2023 | unchanged | flat |
| 51 | Ethiopia | 6 1000 t | 2023 | down 78.6% | volatile |
| 51 | Bosnia and Herzegovina | 6 1000 t | 2023 | up 100.0% | volatile |
| 53 | Norway | 4 1000 t | 2023 | down 33.3% | falling |
| 54 | Republic of Korea | 2 1000 t | 2023 | down 88.9% | volatile |
| 55 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 55 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 55 | Morocco | 1 1000 t | 2023 | unchanged | volatile |
| 55 | Mongolia | 1 1000 t | 2023 | — | volatile |
| 59 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Iceland | 0 1000 t | 2023 | — | flat |
| 59 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 59 | Bhutan | 0 1000 t | 2023 | — | flat |
| 59 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Colombia | 0 1000 t | 2018 | — | flat |
| 59 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 59 | Slovenia | 0 1000 t | 2023 | down 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 30,665 1000 t
- Europe 13,560 1000 t
- Asia 10,450 1000 t
- European Union (27) 10,320 1000 t
- Western Europe 6,912 1000 t
- Americas 6,013 1000 t
- Northern America 5,285 1000 t
- Eastern Asia 5,186 1000 t
- Eastern Europe 4,882 1000 t
- Southern Asia 4,636 1000 t
- Northern Europe 1,487 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,001 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.