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 103 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 1.65 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 37 countries rose and 26 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 | 16 1000 t | 2023 | up 166.7% | volatile |
| 5 | United Kingdom of Great Britain and Northern Ireland | 16 1000 t | 2023 | up 166.7% | volatile |
| 7 | Sweden | 12 1000 t | 2023 | up 71.4% | volatile |
| 8 | Brazil | 6 1000 t | 2023 | up 200.0% | volatile |
| 8 | Canada | 6 1000 t | 2023 | down 82.4% | volatile |
| 10 | Germany | 4 1000 t | 2023 | — | volatile |
| 10 | Ireland | 4 1000 t | 2023 | — | volatile |
| 10 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 10 | Slovakia | 4 1000 t | 2023 | up 300.0% | volatile |
| 14 | Czechia | 3 1000 t | 2023 | up 200.0% | volatile |
| 14 | Indonesia | 3 1000 t | 2023 | down 40.0% | volatile |
| 14 | Latvia | 3 1000 t | 2023 | — | volatile |
| 14 | Thailand | 3 1000 t | 2023 | — | volatile |
| 14 | China, Hong Kong SAR | 3 1000 t | 2023 | up 200.0% | volatile |
| 19 | Saudi Arabia | 2 1000 t | 2023 | — | volatile |
| 19 | Iran (Islamic Republic of) | 2 1000 t | 2023 | up 150.0% | volatile |
| 21 | Colombia | 1 1000 t | 2023 | — | volatile |
| 21 | Estonia | 1 1000 t | 2023 | — | volatile |
| 21 | India | 1 1000 t | 2023 | down 87.5% | volatile |
| 21 | Kazakhstan | 1 1000 t | 2023 | down 50.0% | volatile |
| 21 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 21 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 21 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 21 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 21 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 21 | South Africa | 1 1000 t | 2023 | up 150.0% | volatile |
| 21 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 21 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 33 | Angola | 0 1000 t | 2023 | — | volatile |
| 33 | Albania | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 33 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 33 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Congo | 0 1000 t | 2023 | — | volatile |
| 33 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 33 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Algeria | 0 1000 t | 2023 | — | volatile |
| 33 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 33 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Fiji | 0 1000 t | 2023 | — | volatile |
| 33 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Gabon | 0 1000 t | 2023 | down 100.0% | flat |
| 33 | Ghana | 0 1000 t | 2023 | — | volatile |
| 33 | Gambia | 0 1000 t | 2023 | up 100.0% | flat |
| 33 | Croatia | 0 1000 t | 2023 | down 100.0% | flat |
| 33 | Hungary | 0 1000 t | 2023 | — | volatile |
| 33 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 33 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Morocco | 0 1000 t | 2023 | down 100.0% | flat |
| 33 | Moldova | 0 1000 t | 2023 | up 100.0% | flat |
| 33 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 33 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 33 | Mauritania | 0 1000 t | 2023 | up 100.0% | flat |
| 33 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Namibia | 0 1000 t | 2023 | — | volatile |
| 33 | Nepal | 0 1000 t | 2023 | — | volatile |
| 33 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Oman | 0 1000 t | 2023 | — | volatile |
| 33 | Panama | 0 1000 t | 2023 | — | volatile |
| 33 | Philippines | 0 1000 t | 2023 | — | volatile |
| 33 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Portugal | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Qatar | 0 1000 t | 2023 | — | flat |
| 33 | Romania | 0 1000 t | 2023 | — | volatile |
| 33 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 33 | Syria | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 33 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 33 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 33 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Republic of Moldova | 0 1000 t | 2023 | up 100.0% | flat |
| 33 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 33 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | flat |
| 33 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 185 | United Arab Emirates | -8 1000 t | 2023 | unchanged | volatile |
| 185 | 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
- Africa 3 1000 t
- Southern Asia 3 1000 t
- Eastern Africa 2 1000 t
- Land Locked Developing Countries (LLDCs) 2 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Central Asia 1 1000 t
- Southern Africa 1 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1 1000 t
- Oceania 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Northern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Middle Africa 0 1000 t
- United States of America 0 1000 t
- Western Asia -4 1000 t
- Southern Europe -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.