Vegetables — Stock Variation 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...
Countries reporting
181
Highest
602 1000 t
China
Lowest
-272 1000 t
Belgium
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,888
What the numbers show
Vegetables — Stock Variation is currently reported for 181 countries. The highest value is 602 1000 t in China; the lowest is -272 1000 t in Belgium.
The median across all reporting countries is 0 1000 t, and the mean is 10.6 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 57 countries rose and 49 fell. The largest increase was in Zambia (up 2,800.0%), and the largest decrease in Belgium (down 27,100.0%).
Vegetables — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 602 1000 t | 2023 | up 73.5% | volatile |
| 2 | China, mainland | 558 1000 t | 2023 | up 70.1% | volatile |
| 3 | India | 119 1000 t | 2023 | up 16.7% | volatile |
| 4 | Austria | 81 1000 t | 2023 | up 125.0% | volatile |
| 5 | Viet Nam | 75 1000 t | 2023 | up 388.5% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 73 1000 t | 2023 | — | volatile |
| 7 | Germany | 65 1000 t | 2023 | up 482.4% | volatile |
| 8 | Czechia | 58 1000 t | 2023 | — | volatile |
| 9 | Ireland | 46 1000 t | 2023 | up 866.7% | volatile |
| 10 | Sweden | 42 1000 t | 2023 | — | volatile |
| 10 | China, Taiwan Province of | 42 1000 t | 2023 | up 520.0% | volatile |
| 12 | Norway | 30 1000 t | 2023 | up 850.0% | volatile |
| 12 | Slovakia | 30 1000 t | 2023 | up 528.6% | volatile |
| 14 | Zambia | 29 1000 t | 2023 | up 2,800.0% | volatile |
| 15 | Portugal | 28 1000 t | 2023 | up 40.0% | volatile |
| 16 | Denmark | 27 1000 t | 2023 | up 2,800.0% | volatile |
| 16 | Türkiye | 27 1000 t | 2023 | up 3.8% | volatile |
| 18 | Chile | 25 1000 t | 2023 | up 933.3% | volatile |
| 19 | Greece | 24 1000 t | 2023 | — | volatile |
| 20 | Romania | 23 1000 t | 2023 | up 227.8% | volatile |
| 21 | Hungary | 22 1000 t | 2023 | — | volatile |
| 21 | Slovenia | 22 1000 t | 2023 | up 340.0% | rising |
| 23 | Ukraine | 21 1000 t | 2023 | up 110.0% | volatile |
| 23 | Netherlands (Kingdom of the) | 21 1000 t | 2023 | — | volatile |
| 25 | Egypt | 20 1000 t | 2023 | up 147.6% | volatile |
| 26 | Brazil | 18 1000 t | 2023 | down 47.1% | volatile |
| 26 | Latvia | 18 1000 t | 2023 | up 238.5% | volatile |
| 26 | Thailand | 18 1000 t | 2023 | up 325.0% | volatile |
| 29 | Algeria | 13 1000 t | 2023 | down 81.7% | volatile |
| 29 | Iran (Islamic Republic of) | 13 1000 t | 2023 | up 85.7% | volatile |
| 31 | Indonesia | 11 1000 t | 2023 | down 59.3% | volatile |
| 31 | Tunisia | 11 1000 t | 2023 | up 126.2% | volatile |
| 33 | Estonia | 9 1000 t | 2023 | — | volatile |
| 33 | Kazakhstan | 9 1000 t | 2023 | — | volatile |
| 35 | Finland | 8 1000 t | 2023 | up 100.0% | volatile |
| 35 | Croatia | 8 1000 t | 2023 | — | volatile |
| 35 | Oman | 8 1000 t | 2023 | up 188.9% | volatile |
| 38 | Canada | 7 1000 t | 2023 | down 92.9% | volatile |
| 38 | Morocco | 7 1000 t | 2023 | down 85.1% | volatile |
| 38 | Niger | 7 1000 t | 2023 | down 12.5% | volatile |
| 41 | Colombia | 6 1000 t | 2023 | up 200.0% | volatile |
| 42 | Kuwait | 5 1000 t | 2023 | down 83.3% | volatile |
| 43 | Bulgaria | 4 1000 t | 2023 | up 300.0% | volatile |
| 43 | Lithuania | 4 1000 t | 2023 | — | volatile |
| 43 | Mauritius | 4 1000 t | 2023 | unchanged | volatile |
| 46 | Armenia | 3 1000 t | 2023 | up 200.0% | volatile |
| 46 | Cyprus | 3 1000 t | 2023 | up 175.0% | volatile |
| 46 | Ecuador | 3 1000 t | 2023 | up 137.5% | volatile |
| 46 | Israel | 3 1000 t | 2023 | down 87.0% | volatile |
| 46 | Jamaica | 3 1000 t | 2023 | — | volatile |
| 46 | Libya | 3 1000 t | 2023 | down 76.9% | volatile |
| 46 | Montenegro | 3 1000 t | 2023 | up 400.0% | volatile |
| 46 | Saudi Arabia | 3 1000 t | 2023 | — | volatile |
| 46 | Caribbean | 3 1000 t | 2023 | down 66.7% | volatile |
| 46 | China, Hong Kong SAR | 3 1000 t | 2023 | down 90.0% | volatile |
| 46 | Syrian Arab Republic | 3 1000 t | 2023 | up 130.0% | volatile |
| 46 | United Republic of Tanzania | 3 1000 t | 2023 | down 62.5% | volatile |
| 58 | Belarus | 2 1000 t | 2023 | down 88.2% | volatile |
| 58 | Switzerland | 2 1000 t | 2023 | — | volatile |
| 58 | Ethiopia | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Iraq | 2 1000 t | 2023 | down 50.0% | volatile |
| 58 | Italy | 2 1000 t | 2023 | up 103.1% | volatile |
| 58 | Lebanon | 2 1000 t | 2023 | up 166.7% | volatile |
| 58 | Sri Lanka | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Madagascar | 2 1000 t | 2023 | — | volatile |
| 58 | Nigeria | 2 1000 t | 2023 | up 200.0% | volatile |
| 58 | Peru | 2 1000 t | 2023 | down 75.0% | flat |
| 58 | Philippines | 2 1000 t | 2023 | down 81.8% | volatile |
| 58 | Poland | 2 1000 t | 2023 | up 125.0% | volatile |
| 58 | French Polynesia | 2 1000 t | 2023 | — | volatile |
| 58 | Eswatini | 2 1000 t | 2023 | unchanged | volatile |
| 58 | Tajikistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Zimbabwe | 2 1000 t | 2023 | — | rising |
| 58 | Polynesia | 2 1000 t | 2023 | — | volatile |
| 58 | Democratic Republic of the Congo | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Russian Federation | 2 1000 t | 2023 | — | volatile |
| 77 | Bangladesh | 1 1000 t | 2023 | down 66.7% | volatile |
| 77 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 77 | Bahamas | 1 1000 t | 2023 | down 50.0% | volatile |
| 77 | Bosnia and Herzegovina | 1 1000 t | 2023 | up 200.0% | volatile |
| 77 | Bhutan | 1 1000 t | 2023 | — | volatile |
| 77 | Cameroon | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Iceland | 1 1000 t | 2023 | — | volatile |
| 77 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Malta | 1 1000 t | 2023 | — | volatile |
| 77 | New Zealand | 1 1000 t | 2023 | up 105.3% | volatile |
| 77 | Senegal | 1 1000 t | 2023 | — | volatile |
| 77 | Australia and New Zealand | 1 1000 t | 2023 | up 114.3% | volatile |
| 77 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 90 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 90 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Albania | 0 1000 t | 2023 | — | volatile |
| 90 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 90 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Belize | 0 1000 t | 2023 | — | volatile |
| 90 | Barbados | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Botswana | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Comoros | 0 1000 t | 2023 | — | volatile |
| 90 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Cuba | 0 1000 t | 2019 | — | flat |
| 90 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 90 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Fiji | 0 1000 t | 2023 | — | volatile |
| 90 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Guinea | 0 1000 t | 2023 | — | volatile |
| 90 | Gambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 90 | Grenada | 0 1000 t | 2023 | — | volatile |
| 90 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 90 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Haiti | 0 1000 t | 2023 | — | volatile |
| 90 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 90 | Kiribati | 0 1000 t | 2023 | — | flat |
| 90 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 90 | Liberia | 0 1000 t | 2023 | — | flat |
| 90 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 90 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 90 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 90 | Maldives | 0 1000 t | 2023 | — | volatile |
| 90 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 90 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Mozambique | 0 1000 t | 2023 | — | flat |
| 90 | Mauritania | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 90 | Nepal | 0 1000 t | 2023 | — | volatile |
| 90 | Nauru | 0 1000 t | 2023 | — | flat |
| 90 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Qatar | 0 1000 t | 2023 | — | volatile |
| 90 | Rwanda | 0 1000 t | 2023 | — | flat |
| 90 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 90 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 90 | Serbia | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 90 | Suriname | 0 1000 t | 2023 | down 100.0% | flat |
| 90 | Seychelles | 0 1000 t | 2023 | — | flat |
| 90 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 90 | Tonga | 0 1000 t | 2023 | — | volatile |
| 90 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 90 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 90 | Uganda | 0 1000 t | 2023 | — | flat |
| 90 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 90 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 90 | Samoa | 0 1000 t | 2023 | — | flat |
| 90 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 90 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 90 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Republic of Moldova | 0 1000 t | 2023 | up 100.0% | volatile |
| 90 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 90 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 172 | North Macedonia | -1 1000 t | 2023 | — | volatile |
| 172 | Myanmar | -1 1000 t | 2023 | down 150.0% | volatile |
| 172 | Micronesia | -1 1000 t | 2023 | — | volatile |
| 172 | Micronesia (Federated States of) | -1 1000 t | 2023 | — | flat |
| 176 | Malawi | -2 1000 t | 2023 | down 100.0% | flat |
| 177 | Jordan | -14 1000 t | 2023 | down 450.0% | volatile |
| 178 | Kenya | -45 1000 t | 2023 | down 114.3% | volatile |
| 179 | United Arab Emirates | -60 1000 t | 2023 | down 106.9% | volatile |
| 180 | Malaysia | -69 1000 t | 2023 | down 531.2% | volatile |
| 181 | Belgium | -272 1000 t | 2023 | down 27,100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,489 1000 t
- Asia 935 1000 t
- Eastern Asia 764 1000 t
- Europe 407 1000 t
- European Union (27) 277 1000 t
- Northern Europe 258 1000 t
- Eastern Europe 164 1000 t
- Southern Asia 136 1000 t
- Southern Europe 87 1000 t
- Americas 77 1000 t
- Africa 67 1000 t
- Northern Africa 55 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.