Rape and Mustardseed — 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 Mustardseed — Production is currently reported for 69 countries. The highest value is 18,499 1000 t in Canada; the lowest is 0 1000 t in Bhutan.
The median across all reporting countries is 120 1000 t, and the mean is 1,677 1000 t.
Over the past decade 33 countries rose and 27 fell. The largest increase was in Uruguay (up 1,678.8%), and the largest decrease in North Macedonia (down 100.0%).
Rape and Mustardseed — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 18,499 1000 t | 2023 | down 1.1% | rising |
| 2 | China | 16,336 1000 t | 2023 | up 12.8% | rising |
| 2 | China, mainland | 16,336 1000 t | 2023 | up 12.8% | rising |
| 4 | India | 12,643 1000 t | 2023 | up 61.7% | rising |
| 5 | Australia and New Zealand | 8,920 1000 t | 2023 | up 115.2% | rising |
| 6 | Australia | 8,918 1000 t | 2023 | up 115.3% | rising |
| 7 | Russian Federation | 4,368 1000 t | 2023 | up 201.7% | volatile |
| 8 | France | 4,277 1000 t | 2023 | down 2.4% | falling |
| 9 | Ukraine | 4,261 1000 t | 2023 | up 78.9% | rising |
| 10 | Germany | 4,218 1000 t | 2023 | down 27.2% | falling |
| 11 | Poland | 3,575 1000 t | 2023 | up 33.5% | rising |
| 12 | Romania | 1,790 1000 t | 2023 | up 167.2% | rising |
| 13 | Czechia | 1,310 1000 t | 2023 | down 10.1% | flat |
| 14 | United Kingdom of Great Britain and Northern Ireland | 1,216 1000 t | 2023 | down 42.9% | falling |
| 15 | Belarus | 899 1000 t | 2023 | up 33.0% | rising |
| 16 | Denmark | 823 1000 t | 2023 | up 19.6% | rising |
| 17 | Lithuania | 819 1000 t | 2023 | up 48.1% | rising |
| 18 | Pakistan | 813 1000 t | 2023 | up 269.5% | volatile |
| 19 | Hungary | 626 1000 t | 2023 | up 16.8% | rising |
| 20 | Uruguay | 587 1000 t | 2023 | up 1,678.8% | volatile |
| 21 | Bangladesh | 547 1000 t | 2023 | up 86.1% | rising |
| 22 | Slovakia | 544 1000 t | 2023 | up 45.1% | rising |
| 23 | Latvia | 350 1000 t | 2023 | up 17.8% | rising |
| 24 | Sweden | 305 1000 t | 2023 | down 7.0% | rising |
| 25 | Iran (Islamic Republic of) | 290 1000 t | 2023 | up 65.7% | rising |
| 26 | Republic of Moldova | 211 1000 t | 2023 | up 390.7% | volatile |
| 27 | Nepal | 209 1000 t | 2023 | up 46.2% | rising |
| 28 | Bulgaria | 207 1000 t | 2023 | down 38.8% | falling |
| 29 | Brazil | 178 1000 t | 2023 | up 394.4% | volatile |
| 30 | Spain | 171 1000 t | 2023 | up 51.3% | rising |
| 31 | Estonia | 138 1000 t | 2023 | down 20.7% | rising |
| 31 | Kazakhstan | 138 1000 t | 2023 | down 44.8% | rising |
| 33 | Serbia | 136 1000 t | 2023 | up 369.0% | volatile |
| 34 | Chile | 123 1000 t | 2023 | down 21.2% | rising |
| 35 | Türkiye | 120 1000 t | 2023 | up 17.6% | rising |
| 36 | Ireland | 94 1000 t | 2023 | up 91.8% | rising |
| 37 | Austria | 87 1000 t | 2023 | down 55.8% | falling |
| 38 | Italy | 84 1000 t | 2023 | up 110.0% | rising |
| 39 | Switzerland | 82 1000 t | 2023 | up 12.3% | rising |
| 40 | Paraguay | 68 1000 t | 2023 | down 35.2% | falling |
| 41 | Mongolia | 55 1000 t | 2023 | up 31.0% | volatile |
| 42 | Belgium | 46 1000 t | 2023 | down 24.6% | falling |
| 43 | Croatia | 43 1000 t | 2023 | down 10.4% | volatile |
| 44 | Finland | 41 1000 t | 2023 | down 48.8% | falling |
| 45 | Argentina | 39 1000 t | 2023 | down 65.2% | volatile |
| 46 | Myanmar | 36 1000 t | 2023 | down 29.4% | falling |
| 47 | Ethiopia | 23 1000 t | 2023 | down 64.6% | falling |
| 47 | Algeria | 23 1000 t | 2023 | down 4.2% | falling |
| 49 | Greece | 16 1000 t | 2023 | up 33.3% | rising |
| 50 | Netherlands (Kingdom of the) | 8 1000 t | 2023 | down 20.0% | falling |
| 50 | Luxembourg | 8 1000 t | 2023 | down 46.7% | falling |
| 52 | Slovenia | 7 1000 t | 2023 | down 53.3% | falling |
| 53 | Tunisia | 6 1000 t | 2023 | up 50.0% | rising |
| 53 | Bosnia and Herzegovina | 6 1000 t | 2023 | up 200.0% | volatile |
| 55 | Norway | 5 1000 t | 2023 | down 16.7% | falling |
| 56 | Mexico | 2 1000 t | 2023 | down 33.3% | volatile |
| 56 | Morocco | 2 1000 t | 2023 | up 100.0% | rising |
| 56 | New Zealand | 2 1000 t | 2023 | down 33.3% | falling |
| 59 | Uzbekistan | 1 1000 t | 2023 | down 50.0% | falling |
| 59 | Republic of Korea | 1 1000 t | 2023 | unchanged | falling |
| 61 | Rwanda | 0 1000 t | 2023 | — | flat |
| 61 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 61 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 61 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 61 | Malta | 0 1000 t | 2023 | — | flat |
| 61 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 61 | Colombia | 0 1000 t | 2023 | — | flat |
| 61 | Bhutan | 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 92,794 1000 t
- Asia 31,342 1000 t
- Europe 30,769 1000 t
- Americas 21,459 1000 t
- Northern America 20,462 1000 t
- European Union (27) 19,585 1000 t
- Eastern Europe 17,790 1000 t
- Eastern Asia 16,396 1000 t
- Southern Asia 14,504 1000 t
- Oceania 8,920 1000 t
- Western Europe 8,725 1000 t
- Northern Europe 3,790 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.