Grapefruit 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
Grapefruit and products — Stock Variation is currently reported for 165 countries. The highest value is 8 1000 t in Israel; the lowest is -26 1000 t in Bulgaria.
The median across all reporting countries is 0 1000 t, and the mean is -0.0364 1000 t.
Over the past decade 13 countries rose and 18 fell. The largest increase was in Spain (up 171.4%), and the largest decrease in Philippines (down 200.0%).
Grapefruit and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Israel | 8 1000 t | 2023 | up 33.3% | volatile |
| 2 | Spain | 5 1000 t | 2023 | up 171.4% | volatile |
| 3 | China | 4 1000 t | 2023 | down 33.3% | volatile |
| 3 | China, mainland | 4 1000 t | 2023 | down 33.3% | volatile |
| 5 | Eswatini | 2 1000 t | 2023 | up 100.0% | volatile |
| 5 | Thailand | 2 1000 t | 2023 | up 100.0% | volatile |
| 7 | Tunisia | 1 1000 t | 2018 | — | volatile |
| 8 | Angola | 0 1000 t | 2023 | — | flat |
| 8 | Albania | 0 1000 t | 2023 | — | flat |
| 8 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 8 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Armenia | 0 1000 t | 2023 | — | flat |
| 8 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 8 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Austria | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 8 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 8 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 8 | Bahrain | 0 1000 t | 2023 | — | flat |
| 8 | Bahamas | 0 1000 t | 2023 | — | flat |
| 8 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 8 | Belarus | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Brazil | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Barbados | 0 1000 t | 2023 | — | flat |
| 8 | Botswana | 0 1000 t | 2023 | — | flat |
| 8 | Canada | 0 1000 t | 2023 | — | volatile |
| 8 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 8 | Chile | 0 1000 t | 2023 | — | flat |
| 8 | Cameroon | 0 1000 t | 2023 | — | flat |
| 8 | Congo | 0 1000 t | 2023 | — | flat |
| 8 | Colombia | 0 1000 t | 2023 | — | flat |
| 8 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 8 | Cuba | 0 1000 t | 2019 | — | volatile |
| 8 | Czechia | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Germany | 0 1000 t | 2023 | — | volatile |
| 8 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Algeria | 0 1000 t | 2023 | — | flat |
| 8 | Ecuador | 0 1000 t | 2023 | — | flat |
| 8 | Egypt | 0 1000 t | 2023 | — | flat |
| 8 | Estonia | 0 1000 t | 2023 | — | flat |
| 8 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 8 | Finland | 0 1000 t | 2023 | — | volatile |
| 8 | Fiji | 0 1000 t | 2023 | — | flat |
| 8 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Gabon | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Georgia | 0 1000 t | 2023 | — | flat |
| 8 | Ghana | 0 1000 t | 2023 | — | volatile |
| 8 | Guinea | 0 1000 t | 2023 | — | flat |
| 8 | Grenada | 0 1000 t | 2023 | — | flat |
| 8 | Guatemala | 0 1000 t | 2023 | — | flat |
| 8 | Guyana | 0 1000 t | 2023 | — | flat |
| 8 | Honduras | 0 1000 t | 2023 | — | flat |
| 8 | Croatia | 0 1000 t | 2023 | — | volatile |
| 8 | Haiti | 0 1000 t | 2023 | — | flat |
| 8 | Hungary | 0 1000 t | 2023 | — | volatile |
| 8 | Indonesia | 0 1000 t | 2023 | — | flat |
| 8 | India | 0 1000 t | 2023 | — | volatile |
| 8 | Ireland | 0 1000 t | 2023 | — | volatile |
| 8 | Iraq | 0 1000 t | 2023 | — | flat |
| 8 | Iceland | 0 1000 t | 2023 | — | flat |
| 8 | Italy | 0 1000 t | 2023 | — | volatile |
| 8 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 8 | Jordan | 0 1000 t | 2023 | — | flat |
| 8 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 8 | Cambodia | 0 1000 t | 2023 | — | flat |
| 8 | Kiribati | 0 1000 t | 2023 | — | flat |
| 8 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 8 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 8 | Lebanon | 0 1000 t | 2023 | — | flat |
| 8 | Libya | 0 1000 t | 2023 | — | flat |
| 8 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 8 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 8 | Lithuania | 0 1000 t | 2023 | — | flat |
| 8 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 8 | Latvia | 0 1000 t | 2023 | — | volatile |
| 8 | Morocco | 0 1000 t | 2023 | — | flat |
| 8 | Madagascar | 0 1000 t | 2023 | — | flat |
| 8 | Maldives | 0 1000 t | 2023 | — | flat |
| 8 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 8 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 8 | Malta | 0 1000 t | 2023 | — | flat |
| 8 | Myanmar | 0 1000 t | 2023 | — | flat |
| 8 | Montenegro | 0 1000 t | 2023 | — | flat |
| 8 | Mongolia | 0 1000 t | 2023 | — | flat |
| 8 | Mozambique | 0 1000 t | 2023 | — | flat |
| 8 | Mauritania | 0 1000 t | 2023 | — | flat |
| 8 | Mauritius | 0 1000 t | 2023 | — | flat |
| 8 | Malawi | 0 1000 t | 2023 | — | flat |
| 8 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 8 | Namibia | 0 1000 t | 2023 | — | volatile |
| 8 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 8 | Niger | 0 1000 t | 2023 | — | flat |
| 8 | Nigeria | 0 1000 t | 2023 | — | flat |
| 8 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 8 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Nepal | 0 1000 t | 2023 | — | flat |
| 8 | New Zealand | 0 1000 t | 2023 | — | flat |
| 8 | Oman | 0 1000 t | 2023 | — | flat |
| 8 | Pakistan | 0 1000 t | 2023 | — | flat |
| 8 | Panama | 0 1000 t | 2023 | — | volatile |
| 8 | Peru | 0 1000 t | 2023 | — | flat |
| 8 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 8 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Portugal | 0 1000 t | 2023 | — | flat |
| 8 | Paraguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 8 | Qatar | 0 1000 t | 2023 | — | volatile |
| 8 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Rwanda | 0 1000 t | 2023 | — | flat |
| 8 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Senegal | 0 1000 t | 2023 | — | flat |
| 8 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 8 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 8 | El Salvador | 0 1000 t | 2023 | — | flat |
| 8 | Serbia | 0 1000 t | 2023 | — | flat |
| 8 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 8 | Suriname | 0 1000 t | 2023 | — | flat |
| 8 | Slovakia | 0 1000 t | 2023 | — | flat |
| 8 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 8 | Sweden | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Seychelles | 0 1000 t | 2021 | — | flat |
| 8 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 8 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 8 | Uganda | 0 1000 t | 2023 | — | flat |
| 8 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 8 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 8 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 8 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 8 | Samoa | 0 1000 t | 2023 | — | flat |
| 8 | Yemen | 0 1000 t | 2023 | — | volatile |
| 8 | Zambia | 0 1000 t | 2023 | — | flat |
| 8 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 8 | Micronesia | 0 1000 t | 2023 | — | flat |
| 8 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 8 | Melanesia | 0 1000 t | 2023 | — | flat |
| 8 | Polynesia | 0 1000 t | 2023 | — | flat |
| 8 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 8 | Caribbean | 0 1000 t | 2023 | up 100.0% | flat |
| 8 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 8 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 8 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 8 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 8 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 8 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 8 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 8 | Türkiye | 0 1000 t | 2023 | — | flat |
| 8 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 8 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 8 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 8 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 8 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 160 | Belize | -1 1000 t | 2023 | — | volatile |
| 160 | Greece | -1 1000 t | 2023 | — | volatile |
| 160 | Kenya | -1 1000 t | 2023 | — | volatile |
| 160 | Philippines | -1 1000 t | 2023 | down 200.0% | flat |
| 164 | Cyprus | -2 1000 t | 2023 | — | volatile |
| 165 | Bulgaria | -26 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.
- Asia 11 1000 t
- Northern America 6 1000 t
- Southern Africa 6 1000 t
- Western Asia 6 1000 t
- United States of America 6 1000 t
- Africa 5 1000 t
- Americas 5 1000 t
- South Africa 4 1000 t
- Southern Europe 4 1000 t
- Eastern Asia 4 1000 t
- Land Locked Developing Countries (LLDCs) 2 1000 t
- World 1 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.