Tomatoes and products — 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...
What the numbers show
Tomatoes and products — Stock Variation is currently reported for 174 countries. The highest value is 24 1000 t in China; the lowest is -8 1000 t in Greece.
The median across all reporting countries is 0 1000 t, and the mean is 0.8736 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 32 countries rose and 24 fell. The largest increase was in Ukraine (up 2,000.0%), and the largest decrease in Greece (down 700.0%).
Tomatoes and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 24 1000 t | 2023 | up 380.0% | volatile |
| 2 | Ukraine | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 2 | China, mainland | 21 1000 t | 2023 | up 600.0% | volatile |
| 4 | Austria | 17 1000 t | 2023 | up 666.7% | volatile |
| 5 | United Kingdom of Great Britain and Northern Ireland | 16 1000 t | 2023 | up 166.7% | volatile |
| 6 | Sweden | 12 1000 t | 2023 | up 71.4% | volatile |
| 7 | Brazil | 6 1000 t | 2023 | up 200.0% | volatile |
| 7 | Canada | 6 1000 t | 2023 | down 82.4% | volatile |
| 9 | Germany | 4 1000 t | 2023 | — | volatile |
| 9 | Ireland | 4 1000 t | 2023 | — | volatile |
| 9 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 9 | Slovakia | 4 1000 t | 2023 | up 300.0% | volatile |
| 13 | Czechia | 3 1000 t | 2023 | up 200.0% | volatile |
| 13 | Indonesia | 3 1000 t | 2023 | down 40.0% | volatile |
| 13 | Latvia | 3 1000 t | 2023 | — | volatile |
| 13 | Thailand | 3 1000 t | 2023 | — | volatile |
| 13 | China, Hong Kong SAR | 3 1000 t | 2023 | up 200.0% | volatile |
| 18 | Saudi Arabia | 2 1000 t | 2023 | — | volatile |
| 18 | Iran (Islamic Republic of) | 2 1000 t | 2023 | up 150.0% | volatile |
| 20 | Colombia | 1 1000 t | 2023 | — | volatile |
| 20 | Estonia | 1 1000 t | 2023 | — | volatile |
| 20 | India | 1 1000 t | 2023 | down 87.5% | volatile |
| 20 | Kazakhstan | 1 1000 t | 2023 | down 50.0% | volatile |
| 20 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 20 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 20 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 20 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 20 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 20 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 30 | Angola | 0 1000 t | 2023 | — | volatile |
| 30 | Albania | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Armenia | 0 1000 t | 2023 | — | flat |
| 30 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 30 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 30 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 30 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 30 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 30 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 30 | Bahamas | 0 1000 t | 2023 | — | flat |
| 30 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Belize | 0 1000 t | 2023 | — | flat |
| 30 | Barbados | 0 1000 t | 2023 | — | flat |
| 30 | Bhutan | 0 1000 t | 2023 | — | flat |
| 30 | Botswana | 0 1000 t | 2023 | — | flat |
| 30 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Cameroon | 0 1000 t | 2023 | — | flat |
| 30 | Congo | 0 1000 t | 2023 | — | volatile |
| 30 | Comoros | 0 1000 t | 2023 | — | flat |
| 30 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 30 | Cuba | 0 1000 t | 2019 | — | flat |
| 30 | Cyprus | 0 1000 t | 2023 | — | flat |
| 30 | Djibouti | 0 1000 t | 2023 | — | flat |
| 30 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Algeria | 0 1000 t | 2023 | — | volatile |
| 30 | Ecuador | 0 1000 t | 2023 | — | flat |
| 30 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 30 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Fiji | 0 1000 t | 2023 | — | volatile |
| 30 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Gabon | 0 1000 t | 2023 | down 100.0% | flat |
| 30 | Georgia | 0 1000 t | 2023 | — | flat |
| 30 | Ghana | 0 1000 t | 2023 | — | volatile |
| 30 | Guinea | 0 1000 t | 2023 | — | flat |
| 30 | Gambia | 0 1000 t | 2023 | up 100.0% | flat |
| 30 | Grenada | 0 1000 t | 2023 | — | flat |
| 30 | Guatemala | 0 1000 t | 2023 | — | flat |
| 30 | Guyana | 0 1000 t | 2023 | — | flat |
| 30 | Honduras | 0 1000 t | 2023 | — | flat |
| 30 | Croatia | 0 1000 t | 2023 | down 100.0% | flat |
| 30 | Haiti | 0 1000 t | 2023 | — | flat |
| 30 | Hungary | 0 1000 t | 2023 | — | volatile |
| 30 | Iraq | 0 1000 t | 2023 | — | flat |
| 30 | Iceland | 0 1000 t | 2023 | — | flat |
| 30 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 30 | Jordan | 0 1000 t | 2023 | — | flat |
| 30 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 30 | Cambodia | 0 1000 t | 2023 | — | flat |
| 30 | Kiribati | 0 1000 t | 2023 | — | flat |
| 30 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 30 | Lebanon | 0 1000 t | 2023 | — | flat |
| 30 | Libya | 0 1000 t | 2023 | — | flat |
| 30 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 30 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 30 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Morocco | 0 1000 t | 2023 | down 100.0% | flat |
| 30 | Madagascar | 0 1000 t | 2023 | — | flat |
| 30 | Maldives | 0 1000 t | 2023 | — | flat |
| 30 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 30 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 30 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Myanmar | 0 1000 t | 2023 | — | flat |
| 30 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 30 | Mozambique | 0 1000 t | 2023 | — | flat |
| 30 | Mauritania | 0 1000 t | 2023 | up 100.0% | flat |
| 30 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Malawi | 0 1000 t | 2023 | — | flat |
| 30 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Namibia | 0 1000 t | 2023 | — | volatile |
| 30 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 30 | Niger | 0 1000 t | 2023 | — | flat |
| 30 | Nigeria | 0 1000 t | 2023 | — | flat |
| 30 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 30 | Nepal | 0 1000 t | 2023 | — | volatile |
| 30 | Nauru | 0 1000 t | 2023 | — | flat |
| 30 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Oman | 0 1000 t | 2023 | — | volatile |
| 30 | Pakistan | 0 1000 t | 2023 | — | flat |
| 30 | Panama | 0 1000 t | 2023 | — | volatile |
| 30 | Peru | 0 1000 t | 2023 | — | flat |
| 30 | Philippines | 0 1000 t | 2023 | — | volatile |
| 30 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 30 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Portugal | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Paraguay | 0 1000 t | 2023 | — | flat |
| 30 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 30 | Qatar | 0 1000 t | 2023 | — | flat |
| 30 | Romania | 0 1000 t | 2023 | — | volatile |
| 30 | Rwanda | 0 1000 t | 2023 | — | flat |
| 30 | Senegal | 0 1000 t | 2023 | — | flat |
| 30 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 30 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 30 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 30 | Serbia | 0 1000 t | 2023 | — | flat |
| 30 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 30 | Suriname | 0 1000 t | 2023 | — | flat |
| 30 | Eswatini | 0 1000 t | 2023 | — | flat |
| 30 | Seychelles | 0 1000 t | 2023 | — | flat |
| 30 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 30 | Tonga | 0 1000 t | 2023 | — | flat |
| 30 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 30 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 30 | Uganda | 0 1000 t | 2023 | — | flat |
| 30 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 30 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 30 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 30 | Samoa | 0 1000 t | 2023 | — | flat |
| 30 | Yemen | 0 1000 t | 2023 | — | flat |
| 30 | Zambia | 0 1000 t | 2023 | — | flat |
| 30 | Micronesia | 0 1000 t | 2023 | — | flat |
| 30 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 30 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 30 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 30 | Polynesia | 0 1000 t | 2023 | — | flat |
| 30 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 30 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 30 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 30 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Republic of Moldova | 0 1000 t | 2023 | up 100.0% | flat |
| 30 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | flat |
| 30 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 30 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 30 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 30 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 30 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 173 | United Arab Emirates | -8 1000 t | 2023 | unchanged | volatile |
| 173 | Greece | -8 1000 t | 2023 | down 700.0% | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 130 1000 t
- Europe 83 1000 t
- European Union (27) 41 1000 t
- Northern Europe 40 1000 t
- Asia 32 1000 t
- Eastern Europe 28 1000 t
- Eastern Asia 25 1000 t
- Western Europe 21 1000 t
- Americas 12 1000 t
- South-eastern Asia 8 1000 t
- South America 6 1000 t
- Northern America 6 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.