Lemons, Limes and products — Export quantity 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 — Export quantity is currently reported for 148 countries. The highest value is 1,185 1000 t in Argentina; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 31.89 1000 t.
Over the past decade 28 countries rose and 29 fell. The largest increase was in Viet Nam (up 6,900.0%), and the largest decrease in Indonesia (down 100.0%).
Lemons, Limes and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Argentina | 1,185 1000 t | 2023 | up 13.9% | rising |
| 2 | Mexico | 769 1000 t | 2023 | up 24.0% | rising |
| 3 | Türkiye | 655 1000 t | 2023 | up 59.8% | rising |
| 4 | Spain | 617 1000 t | 2023 | up 13.4% | rising |
| 5 | Netherlands (Kingdom of the) | 249 1000 t | 2023 | up 72.9% | rising |
| 6 | Brazil | 217 1000 t | 2023 | up 174.7% | rising |
| 7 | Egypt | 195 1000 t | 2023 | up 828.6% | volatile |
| 8 | Peru | 90 1000 t | 2023 | up 119.5% | rising |
| 9 | Viet Nam | 70 1000 t | 2023 | up 6,900.0% | volatile |
| 10 | Colombia | 69 1000 t | 2023 | up 2,200.0% | volatile |
| 11 | Chile | 64 1000 t | 2023 | up 88.2% | rising |
| 12 | Italy | 59 1000 t | 2023 | down 19.2% | falling |
| 13 | United Arab Emirates | 56 1000 t | 2023 | up 1,300.0% | volatile |
| 13 | China | 56 1000 t | 2023 | up 154.5% | volatile |
| 15 | China, mainland | 54 1000 t | 2023 | up 260.0% | volatile |
| 16 | Portugal | 35 1000 t | 2023 | up 775.0% | volatile |
| 17 | Saudi Arabia | 20 1000 t | 2023 | up 300.0% | volatile |
| 18 | Greece | 19 1000 t | 2023 | up 171.4% | rising |
| 19 | Germany | 18 1000 t | 2023 | down 18.2% | falling |
| 20 | France | 17 1000 t | 2023 | up 54.5% | rising |
| 21 | Bulgaria | 16 1000 t | 2023 | up 433.3% | volatile |
| 22 | Uruguay | 14 1000 t | 2023 | down 41.7% | falling |
| 23 | India | 11 1000 t | 2023 | down 50.0% | falling |
| 24 | Ghana | 8 1000 t | 2023 | — | volatile |
| 24 | Australia and New Zealand | 8 1000 t | 2023 | up 300.0% | rising |
| 26 | Honduras | 7 1000 t | 2023 | up 133.3% | volatile |
| 27 | Australia | 6 1000 t | 2023 | up 500.0% | rising |
| 27 | Guatemala | 6 1000 t | 2023 | down 14.3% | falling |
| 27 | Hungary | 6 1000 t | 2023 | up 100.0% | rising |
| 27 | Morocco | 6 1000 t | 2023 | down 60.0% | falling |
| 27 | Eswatini | 6 1000 t | 2023 | — | volatile |
| 27 | Uzbekistan | 6 1000 t | 2023 | — | volatile |
| 33 | Barbados | 5 1000 t | 2019 | — | volatile |
| 33 | Czechia | 5 1000 t | 2023 | down 16.7% | flat |
| 33 | Ecuador | 5 1000 t | 2023 | up 150.0% | volatile |
| 33 | Croatia | 5 1000 t | 2023 | — | volatile |
| 33 | Thailand | 5 1000 t | 2023 | — | volatile |
| 38 | Austria | 4 1000 t | 2023 | down 55.6% | falling |
| 38 | Belgium | 4 1000 t | 2023 | down 66.7% | falling |
| 38 | Georgia | 4 1000 t | 2023 | up 300.0% | volatile |
| 38 | Lebanon | 4 1000 t | 2023 | down 86.2% | volatile |
| 38 | Zimbabwe | 4 1000 t | 2023 | — | volatile |
| 43 | Denmark | 3 1000 t | 2023 | up 200.0% | rising |
| 43 | Dominican Republic | 3 1000 t | 2023 | down 40.0% | falling |
| 43 | Lithuania | 3 1000 t | 2023 | down 62.5% | volatile |
| 43 | Malaysia | 3 1000 t | 2023 | down 25.0% | falling |
| 43 | Poland | 3 1000 t | 2023 | down 62.5% | falling |
| 43 | Caribbean | 3 1000 t | 2023 | down 40.0% | volatile |
| 49 | Cyprus | 2 1000 t | 2023 | down 33.3% | volatile |
| 49 | Latvia | 2 1000 t | 2023 | up 100.0% | rising |
| 49 | Mozambique | 2 1000 t | 2023 | — | volatile |
| 49 | Niger | 2 1000 t | 2021 | — | volatile |
| 49 | New Zealand | 2 1000 t | 2023 | up 100.0% | rising |
| 49 | Slovakia | 2 1000 t | 2023 | unchanged | falling |
| 49 | Slovenia | 2 1000 t | 2023 | down 75.0% | falling |
| 49 | Tajikistan | 2 1000 t | 2023 | — | volatile |
| 49 | China, Hong Kong SAR | 2 1000 t | 2023 | down 75.0% | volatile |
| 49 | Iran (Islamic Republic of) | 2 1000 t | 2023 | down 93.9% | volatile |
| 49 | Syrian Arab Republic | 2 1000 t | 2023 | down 75.0% | volatile |
| 49 | Côte d'Ivoire | 2 1000 t | 2023 | — | volatile |
| 49 | Lao People's Democratic Republic | 2 1000 t | 2023 | — | volatile |
| 62 | Belize | 1 1000 t | 2023 | — | volatile |
| 62 | Ethiopia | 1 1000 t | 2023 | unchanged | flat |
| 62 | Guyana | 1 1000 t | 2023 | — | volatile |
| 62 | Jordan | 1 1000 t | 2023 | down 66.7% | volatile |
| 62 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 62 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 62 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 62 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 62 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 62 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 62 | Romania | 1 1000 t | 2023 | unchanged | volatile |
| 62 | El Salvador | 1 1000 t | 2023 | unchanged | volatile |
| 62 | Sweden | 1 1000 t | 2023 | — | volatile |
| 62 | Yemen | 1 1000 t | 2023 | down 66.7% | volatile |
| 62 | Republic of Korea | 1 1000 t | 2023 | unchanged | rising |
| 62 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 62 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | down 66.7% | volatile |
| 79 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 79 | Angola | 0 1000 t | 2023 | — | flat |
| 79 | Albania | 0 1000 t | 2023 | — | volatile |
| 79 | Armenia | 0 1000 t | 2022 | — | flat |
| 79 | Antigua and Barbuda | 0 1000 t | 2020 | — | flat |
| 79 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 79 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 79 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 79 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 79 | Bahamas | 0 1000 t | 2023 | — | flat |
| 79 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 79 | Belarus | 0 1000 t | 2022 | — | volatile |
| 79 | Botswana | 0 1000 t | 2023 | — | flat |
| 79 | Canada | 0 1000 t | 2023 | — | flat |
| 79 | Switzerland | 0 1000 t | 2023 | — | flat |
| 79 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 79 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 79 | Cuba | 0 1000 t | 2018 | — | flat |
| 79 | Algeria | 0 1000 t | 2023 | — | flat |
| 79 | Estonia | 0 1000 t | 2023 | — | flat |
| 79 | Finland | 0 1000 t | 2023 | — | flat |
| 79 | Fiji | 0 1000 t | 2023 | — | flat |
| 79 | Guinea | 0 1000 t | 2023 | — | volatile |
| 79 | Haiti | 0 1000 t | 2022 | — | flat |
| 79 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Ireland | 0 1000 t | 2023 | — | volatile |
| 79 | Iraq | 0 1000 t | 2023 | — | flat |
| 79 | Iceland | 0 1000 t | 2023 | — | flat |
| 79 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Jamaica | 0 1000 t | 2023 | — | flat |
| 79 | Kenya | 0 1000 t | 2023 | — | volatile |
| 79 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 79 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 79 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 79 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 79 | Madagascar | 0 1000 t | 2023 | — | flat |
| 79 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 79 | Malta | 0 1000 t | 2022 | — | flat |
| 79 | Montenegro | 0 1000 t | 2023 | — | flat |
| 79 | Mauritius | 0 1000 t | 2020 | — | flat |
| 79 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 79 | Nicaragua | 0 1000 t | 2022 | — | flat |
| 79 | Norway | 0 1000 t | 2023 | — | flat |
| 79 | Nepal | 0 1000 t | 2023 | — | flat |
| 79 | Panama | 0 1000 t | 2015 | — | flat |
| 79 | Philippines | 0 1000 t | 2023 | — | flat |
| 79 | Paraguay | 0 1000 t | 2022 | — | flat |
| 79 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 79 | Rwanda | 0 1000 t | 2022 | down 100.0% | volatile |
| 79 | Senegal | 0 1000 t | 2023 | — | volatile |
| 79 | Serbia | 0 1000 t | 2023 | — | flat |
| 79 | Suriname | 0 1000 t | 2021 | — | flat |
| 79 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 79 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 79 | Uganda | 0 1000 t | 2023 | — | volatile |
| 79 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 79 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 79 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 79 | Samoa | 0 1000 t | 2021 | down 100.0% | volatile |
| 79 | Zambia | 0 1000 t | 2022 | — | flat |
| 79 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 79 | Melanesia | 0 1000 t | 2023 | — | flat |
| 79 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 79 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 79 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 79 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 79 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 79 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,500 1000 t
- Americas 2,570 1000 t
- South America 1,645 1000 t
- European Union (27) 1,076 1000 t
- Europe 1,076 1000 t
- Africa 938 1000 t
- Asia 908 1000 t
- Central America 785 1000 t
- Western Asia 747 1000 t
- Southern Europe 738 1000 t
- Southern Africa 703 1000 t
- South Africa 697 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.