Vegetables — 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
Vegetables — Feed is currently reported for 113 countries. The highest value is 34,574 1000 t in China; the lowest is 0 1000 t in Australia and New Zealand.
The median across all reporting countries is 0 1000 t, and the mean is 716.3 1000 t.
Over the past decade 27 countries rose and 26 fell. The largest increase was in Morocco (up 450.0%), and the largest decrease in Switzerland (down 100.0%).
Vegetables — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 34,574 1000 t | 2023 | up 2.3% | rising |
| 1 | China, mainland | 34,574 1000 t | 2023 | up 2.3% | rising |
| 3 | Russian Federation | 2,302 1000 t | 2023 | down 16.5% | falling |
| 4 | Ukraine | 1,919 1000 t | 2023 | down 21.9% | rising |
| 5 | Türkiye | 1,754 1000 t | 2023 | down 53.9% | falling |
| 6 | Uzbekistan | 1,649 1000 t | 2023 | up 27.3% | rising |
| 7 | Kazakhstan | 1,174 1000 t | 2023 | up 29.0% | rising |
| 8 | Italy | 354 1000 t | 2023 | down 35.9% | falling |
| 9 | Tajikistan | 275 1000 t | 2023 | down 27.1% | falling |
| 10 | Spain | 245 1000 t | 2023 | down 24.1% | falling |
| 11 | Caribbean | 237 1000 t | 2023 | up 355.8% | volatile |
| 12 | Dominican Republic | 210 1000 t | 2023 | — | volatile |
| 13 | Turkmenistan | 188 1000 t | 2023 | up 138.0% | rising |
| 14 | Belarus | 175 1000 t | 2023 | up 17.4% | falling |
| 15 | Hungary | 116 1000 t | 2023 | down 11.5% | rising |
| 16 | Kyrgyzstan | 113 1000 t | 2023 | up 41.2% | rising |
| 17 | Germany | 111 1000 t | 2023 | up 23.3% | rising |
| 18 | Peru | 100 1000 t | 2023 | up 6.4% | rising |
| 19 | Albania | 92 1000 t | 2023 | up 39.4% | rising |
| 20 | Tunisia | 74 1000 t | 2023 | up 5.7% | rising |
| 21 | Colombia | 61 1000 t | 2023 | up 32.6% | rising |
| 21 | Romania | 61 1000 t | 2023 | down 70.4% | falling |
| 23 | North Macedonia | 58 1000 t | 2023 | up 48.7% | rising |
| 24 | Armenia | 52 1000 t | 2023 | up 79.3% | volatile |
| 25 | United Kingdom of Great Britain and Northern Ireland | 47 1000 t | 2023 | down 44.7% | falling |
| 26 | Greece | 42 1000 t | 2023 | down 88.7% | volatile |
| 27 | Israel | 41 1000 t | 2023 | down 51.2% | falling |
| 28 | Cuba | 39 1000 t | 2019 | up 5.4% | rising |
| 29 | Bulgaria | 38 1000 t | 2023 | up 18.8% | rising |
| 30 | Georgia | 36 1000 t | 2023 | down 48.6% | rising |
| 31 | Azerbaijan | 35 1000 t | 2023 | up 9.4% | rising |
| 31 | Democratic People's Republic of Korea | 35 1000 t | 2018 | up 9.4% | flat |
| 33 | Ecuador | 31 1000 t | 2023 | up 14.8% | rising |
| 34 | Morocco | 22 1000 t | 2023 | up 450.0% | rising |
| 35 | Ireland | 19 1000 t | 2023 | down 45.7% | falling |
| 36 | Croatia | 12 1000 t | 2023 | down 7.7% | rising |
| 37 | Lithuania | 10 1000 t | 2023 | down 9.1% | volatile |
| 37 | Syrian Arab Republic | 10 1000 t | 2023 | unchanged | falling |
| 39 | Belgium | 8 1000 t | 2023 | down 95.4% | volatile |
| 40 | Cyprus | 7 1000 t | 2018 | unchanged | flat |
| 41 | Thailand | 6 1000 t | 2023 | down 53.8% | falling |
| 42 | Republic of Moldova | 5 1000 t | 2023 | down 16.7% | falling |
| 43 | Algeria | 4 1000 t | 2023 | up 300.0% | volatile |
| 43 | Jordan | 4 1000 t | 2023 | up 100.0% | volatile |
| 45 | Finland | 3 1000 t | 2023 | up 50.0% | rising |
| 45 | Lebanon | 3 1000 t | 2023 | up 50.0% | rising |
| 45 | Poland | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | Serbia | 3 1000 t | 2023 | unchanged | rising |
| 49 | Czechia | 2 1000 t | 2023 | up 100.0% | rising |
| 49 | Egypt | 2 1000 t | 2023 | — | volatile |
| 49 | Latvia | 2 1000 t | 2023 | — | volatile |
| 49 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | down 96.6% | volatile |
| 53 | Denmark | 1 1000 t | 2023 | down 66.7% | falling |
| 53 | France | 1 1000 t | 2023 | down 98.6% | volatile |
| 53 | Republic of Korea | 1 1000 t | 2023 | unchanged | rising |
| 56 | Angola | 0 1000 t | 2022 | — | flat |
| 56 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 56 | Argentina | 0 1000 t | 2023 | — | flat |
| 56 | Australia | 0 1000 t | 2023 | — | flat |
| 56 | Austria | 0 1000 t | 2023 | — | flat |
| 56 | Burkina Faso | 0 1000 t | 2021 | — | flat |
| 56 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 56 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 56 | Belize | 0 1000 t | 2022 | — | flat |
| 56 | Brazil | 0 1000 t | 2023 | — | flat |
| 56 | Barbados | 0 1000 t | 2023 | — | flat |
| 56 | Canada | 0 1000 t | 2023 | — | flat |
| 56 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Chile | 0 1000 t | 2023 | — | flat |
| 56 | Cameroon | 0 1000 t | 2023 | — | flat |
| 56 | Estonia | 0 1000 t | 2023 | — | flat |
| 56 | Ghana | 0 1000 t | 2022 | — | flat |
| 56 | Grenada | 0 1000 t | 2023 | — | flat |
| 56 | Haiti | 0 1000 t | 2023 | — | flat |
| 56 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Iraq | 0 1000 t | 2023 | — | flat |
| 56 | Iceland | 0 1000 t | 2023 | — | flat |
| 56 | Jamaica | 0 1000 t | 2023 | — | flat |
| 56 | Kenya | 0 1000 t | 2023 | — | flat |
| 56 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 56 | Libya | 0 1000 t | 2023 | — | flat |
| 56 | Sri Lanka | 0 1000 t | 2020 | — | flat |
| 56 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 56 | Madagascar | 0 1000 t | 2021 | — | flat |
| 56 | Mexico | 0 1000 t | 2023 | — | flat |
| 56 | Malta | 0 1000 t | 2023 | — | flat |
| 56 | Mauritius | 0 1000 t | 2023 | — | flat |
| 56 | Malawi | 0 1000 t | 2023 | — | flat |
| 56 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 56 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 56 | Norway | 0 1000 t | 2023 | — | flat |
| 56 | Nepal | 0 1000 t | 2023 | — | flat |
| 56 | New Zealand | 0 1000 t | 2023 | — | flat |
| 56 | Pakistan | 0 1000 t | 2018 | — | flat |
| 56 | Panama | 0 1000 t | 2019 | — | flat |
| 56 | Philippines | 0 1000 t | 2023 | — | flat |
| 56 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 56 | Rwanda | 0 1000 t | 2023 | — | flat |
| 56 | El Salvador | 0 1000 t | 2023 | — | flat |
| 56 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 56 | Slovakia | 0 1000 t | 2023 | — | flat |
| 56 | Slovenia | 0 1000 t | 2023 | — | flat |
| 56 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 56 | Uganda | 0 1000 t | 2023 | — | flat |
| 56 | Saint Vincent and the Grenadines | 0 1000 t | 2022 | — | flat |
| 56 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Melanesia | 0 1000 t | 2023 | — | flat |
| 56 | Polynesia | 0 1000 t | 2023 | — | flat |
| 56 | Bolivia (Plurinational State of) | 0 1000 t | 2016 | — | flat |
| 56 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 56 | Australia and New Zealand | 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 46,483 1000 t
- Asia 39,973 1000 t
- Eastern Asia 34,621 1000 t
- Europe 5,633 1000 t
- Eastern Europe 4,621 1000 t
- Land Locked Developing Countries (LLDCs) 3,549 1000 t
- Central Asia 3,399 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,086 1000 t
- Western Asia 1,936 1000 t
- European Union (27) 1,031 1000 t
- Southern Europe 807 1000 t
- Americas 713 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.