Lemons, Limes 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
Lemons, Limes and products — Stock Variation is currently reported for 118 countries. The highest value is 3 1000 t in Ireland; the lowest is -4 1000 t in Bahrain.
The median across all reporting countries is 0 1000 t, and the mean is 0.0593 1000 t.
Over the past decade 5 countries rose and 14 fell. The largest increase was in Romania (up 400.0%), and the largest decrease in Australia (down 100.0%).
Lemons, Limes and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ireland | 3 1000 t | 2023 | — | volatile |
| 1 | Romania | 3 1000 t | 2023 | up 400.0% | volatile |
| 1 | Türkiye | 3 1000 t | 2023 | — | volatile |
| 4 | Peru | 2 1000 t | 2023 | unchanged | volatile |
| 5 | Ghana | 1 1000 t | 2023 | down 66.7% | volatile |
| 5 | Greece | 1 1000 t | 2023 | up 120.0% | flat |
| 5 | Israel | 1 1000 t | 2023 | down 50.0% | volatile |
| 5 | Lebanon | 1 1000 t | 2023 | down 50.0% | volatile |
| 5 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 10 | Angola | 0 1000 t | 2023 | — | flat |
| 10 | Albania | 0 1000 t | 2023 | — | flat |
| 10 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 10 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Austria | 0 1000 t | 2023 | — | volatile |
| 10 | Azerbaijan | 0 1000 t | 2019 | — | flat |
| 10 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 10 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 10 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 10 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 10 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Brazil | 0 1000 t | 2023 | — | volatile |
| 10 | Barbados | 0 1000 t | 2023 | — | flat |
| 10 | Botswana | 0 1000 t | 2020 | — | flat |
| 10 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Cameroon | 0 1000 t | 2023 | — | flat |
| 10 | Congo | 0 1000 t | 2023 | — | flat |
| 10 | Colombia | 0 1000 t | 2023 | — | flat |
| 10 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 10 | Cyprus | 0 1000 t | 2023 | — | flat |
| 10 | Czechia | 0 1000 t | 2023 | — | flat |
| 10 | Germany | 0 1000 t | 2023 | — | flat |
| 10 | Denmark | 0 1000 t | 2023 | — | flat |
| 10 | Algeria | 0 1000 t | 2023 | — | flat |
| 10 | Ecuador | 0 1000 t | 2023 | — | flat |
| 10 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 10 | Estonia | 0 1000 t | 2023 | — | flat |
| 10 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 10 | Finland | 0 1000 t | 2023 | — | flat |
| 10 | France | 0 1000 t | 2023 | — | flat |
| 10 | Gabon | 0 1000 t | 2018 | — | flat |
| 10 | Guinea | 0 1000 t | 2023 | — | flat |
| 10 | Grenada | 0 1000 t | 2020 | — | flat |
| 10 | Guatemala | 0 1000 t | 2023 | — | flat |
| 10 | Guyana | 0 1000 t | 2023 | — | flat |
| 10 | Haiti | 0 1000 t | 2023 | — | flat |
| 10 | Hungary | 0 1000 t | 2023 | — | flat |
| 10 | Indonesia | 0 1000 t | 2023 | — | flat |
| 10 | India | 0 1000 t | 2023 | — | flat |
| 10 | Iraq | 0 1000 t | 2023 | — | flat |
| 10 | Italy | 0 1000 t | 2023 | — | volatile |
| 10 | Jamaica | 0 1000 t | 2023 | — | flat |
| 10 | Kenya | 0 1000 t | 2023 | — | flat |
| 10 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 10 | Cambodia | 0 1000 t | 2023 | — | flat |
| 10 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 10 | Lithuania | 0 1000 t | 2023 | — | flat |
| 10 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 10 | Latvia | 0 1000 t | 2023 | — | flat |
| 10 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Madagascar | 0 1000 t | 2023 | — | flat |
| 10 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 10 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 10 | Malta | 0 1000 t | 2023 | — | flat |
| 10 | Mozambique | 0 1000 t | 2023 | — | flat |
| 10 | Malawi | 0 1000 t | 2023 | — | flat |
| 10 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Niger | 0 1000 t | 2023 | — | flat |
| 10 | Nigeria | 0 1000 t | 2023 | — | flat |
| 10 | Nepal | 0 1000 t | 2023 | — | flat |
| 10 | New Zealand | 0 1000 t | 2021 | — | flat |
| 10 | Pakistan | 0 1000 t | 2023 | — | flat |
| 10 | Philippines | 0 1000 t | 2023 | — | flat |
| 10 | Poland | 0 1000 t | 2023 | — | volatile |
| 10 | Portugal | 0 1000 t | 2023 | — | volatile |
| 10 | Paraguay | 0 1000 t | 2023 | — | flat |
| 10 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 10 | Rwanda | 0 1000 t | 2023 | — | flat |
| 10 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 10 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Sierra Leone | 0 1000 t | 2021 | — | flat |
| 10 | Slovakia | 0 1000 t | 2023 | — | flat |
| 10 | Slovenia | 0 1000 t | 2023 | — | flat |
| 10 | Sweden | 0 1000 t | 2023 | — | flat |
| 10 | Eswatini | 0 1000 t | 2023 | — | flat |
| 10 | Thailand | 0 1000 t | 2023 | — | flat |
| 10 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 10 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 10 | Tunisia | 0 1000 t | 2023 | — | flat |
| 10 | Uganda | 0 1000 t | 2023 | — | flat |
| 10 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 10 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 10 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 10 | Samoa | 0 1000 t | 2023 | — | flat |
| 10 | Zambia | 0 1000 t | 2023 | — | flat |
| 10 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 10 | Micronesia | 0 1000 t | 2023 | — | flat |
| 10 | Melanesia | 0 1000 t | 2023 | — | flat |
| 10 | Polynesia | 0 1000 t | 2023 | — | flat |
| 10 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 10 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 10 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 10 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 10 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 10 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 10 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 10 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 10 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | China, mainland | 0 1000 t | 2023 | — | flat |
| 10 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 10 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 10 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 117 | Myanmar | -2 1000 t | 2023 | — | volatile |
| 118 | Egypt | -3 1000 t | 2023 | — | volatile |
| 119 | Bahrain | -4 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.
- World 56 1000 t
- Americas 35 1000 t
- Northern America 33 1000 t
- United States of America 33 1000 t
- South Africa 15 1000 t
- Southern Africa 15 1000 t
- Africa 13 1000 t
- European Union (27) 8 1000 t
- Europe 8 1000 t
- Eastern Europe 3 1000 t
- Northern Europe 3 1000 t
- Caribbean 0 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.