Rape and Mustardseed — Processing 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 — Processing is currently reported for 66 countries. The highest value is 10,485 1000 t in Canada; the lowest is 0 1000 t in North Macedonia.
The median across all reporting countries is 158 1000 t, and the mean is 1,236 1000 t.
Over the past decade 39 countries rose and 20 fell. The largest increase was in Estonia (up 877.8%), and the largest decrease in Israel (down 100.0%).
Rape and Mustardseed — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 10,485 1000 t | 2023 | up 56.5% | rising |
| 2 | China, mainland | 10,031 1000 t | 2023 | down 14.5% | falling |
| 2 | China | 10,031 1000 t | 2023 | down 14.5% | falling |
| 4 | Germany | 9,956 1000 t | 2023 | up 21.9% | rising |
| 5 | India | 9,591 1000 t | 2023 | up 53.4% | rising |
| 6 | France | 4,389 1000 t | 2023 | up 1.7% | falling |
| 7 | Russian Federation | 3,828 1000 t | 2023 | up 542.3% | volatile |
| 8 | Poland | 3,588 1000 t | 2023 | up 56.7% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 1,722 1000 t | 2023 | down 2.3% | falling |
| 10 | Pakistan | 1,588 1000 t | 2023 | up 121.5% | rising |
| 11 | Belgium | 1,498 1000 t | 2023 | up 10.0% | rising |
| 12 | Australia | 1,317 1000 t | 2023 | up 63.6% | rising |
| 12 | Australia and New Zealand | 1,317 1000 t | 2023 | up 63.6% | rising |
| 14 | Mexico | 1,306 1000 t | 2023 | down 11.8% | falling |
| 15 | Czechia | 1,285 1000 t | 2023 | up 29.4% | rising |
| 16 | Belarus | 1,078 1000 t | 2023 | up 77.0% | rising |
| 17 | United Arab Emirates | 1,060 1000 t | 2023 | up 66.1% | rising |
| 18 | Ukraine | 925 1000 t | 2023 | up 628.3% | volatile |
| 19 | Denmark | 750 1000 t | 2023 | up 59.6% | rising |
| 20 | Bangladesh | 727 1000 t | 2023 | up 142.3% | rising |
| 21 | Romania | 427 1000 t | 2023 | up 25.6% | rising |
| 22 | Sweden | 390 1000 t | 2023 | up 33.1% | rising |
| 23 | Hungary | 328 1000 t | 2023 | up 192.9% | volatile |
| 24 | Austria | 322 1000 t | 2023 | down 6.7% | flat |
| 25 | Nepal | 317 1000 t | 2023 | up 52.4% | rising |
| 26 | Iran (Islamic Republic of) | 290 1000 t | 2023 | up 73.7% | rising |
| 27 | Lithuania | 274 1000 t | 2023 | up 60.2% | rising |
| 28 | Spain | 265 1000 t | 2023 | up 178.9% | rising |
| 29 | Slovakia | 254 1000 t | 2023 | up 108.2% | rising |
| 30 | Türkiye | 191 1000 t | 2023 | down 36.1% | falling |
| 31 | Kazakhstan | 178 1000 t | 2023 | up 102.3% | rising |
| 32 | Estonia | 176 1000 t | 2023 | up 877.8% | rising |
| 33 | Finland | 164 1000 t | 2023 | down 21.2% | falling |
| 34 | Brazil | 152 1000 t | 2023 | up 171.4% | rising |
| 35 | Portugal | 145 1000 t | 2023 | down 4.6% | falling |
| 36 | Greece | 142 1000 t | 2023 | up 407.1% | volatile |
| 37 | Uruguay | 137 1000 t | 2023 | up 372.4% | volatile |
| 37 | Bulgaria | 137 1000 t | 2023 | up 140.4% | rising |
| 39 | Latvia | 132 1000 t | 2023 | up 12.8% | rising |
| 40 | Chile | 103 1000 t | 2023 | down 27.0% | rising |
| 41 | Italy | 88 1000 t | 2023 | up 6.0% | falling |
| 42 | Switzerland | 84 1000 t | 2023 | up 5.0% | flat |
| 43 | Ireland | 63 1000 t | 2023 | up 80.0% | rising |
| 44 | Malaysia | 61 1000 t | 2023 | up 408.3% | volatile |
| 45 | Paraguay | 59 1000 t | 2023 | down 16.9% | falling |
| 46 | Serbia | 43 1000 t | 2023 | up 514.3% | volatile |
| 47 | Croatia | 33 1000 t | 2023 | up 43.5% | volatile |
| 47 | Myanmar | 33 1000 t | 2023 | down 29.8% | falling |
| 49 | Netherlands (Kingdom of the) | 26 1000 t | 2023 | down 97.4% | volatile |
| 50 | Algeria | 22 1000 t | 2023 | unchanged | flat |
| 51 | Ethiopia | 20 1000 t | 2023 | down 64.3% | volatile |
| 52 | Bosnia and Herzegovina | 14 1000 t | 2023 | up 55.6% | volatile |
| 53 | Norway | 10 1000 t | 2023 | down 33.3% | falling |
| 54 | Republic of Korea | 5 1000 t | 2023 | down 90.4% | volatile |
| 55 | Mongolia | 3 1000 t | 2023 | — | volatile |
| 56 | Uzbekistan | 2 1000 t | 2023 | up 100.0% | rising |
| 56 | Republic of Moldova | 2 1000 t | 2023 | down 60.0% | falling |
| 58 | Slovenia | 1 1000 t | 2023 | down 80.0% | volatile |
| 58 | Morocco | 1 1000 t | 2023 | unchanged | rising |
| 60 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 60 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 60 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 60 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 60 | Colombia | 0 1000 t | 2018 | — | flat |
| 60 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 60 | North Macedonia | 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 74,473 1000 t
- Europe 32,539 1000 t
- Asia 26,043 1000 t
- European Union (27) 24,833 1000 t
- Western Europe 16,275 1000 t
- Americas 14,307 1000 t
- Northern America 12,549 1000 t
- Southern Asia 12,512 1000 t
- Eastern Asia 12,005 1000 t
- Eastern Europe 11,851 1000 t
- Northern Europe 3,682 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,689 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.