Lemons, Limes and products — Import 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 — Import quantity is currently reported for 179 countries. The highest value is 327 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 2 1000 t, and the mean is 18.91 1000 t.
Over the past decade 70 countries rose and 26 fell. The largest increase was in Azerbaijan (up 1,900.0%), and the largest decrease in Botswana (down 100.0%).
Lemons, Limes and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 327 1000 t | 2023 | up 76.8% | rising |
| 2 | Russian Federation | 262 1000 t | 2023 | up 24.8% | rising |
| 3 | Germany | 230 1000 t | 2023 | up 51.3% | rising |
| 4 | Iraq | 226 1000 t | 2023 | up 310.9% | volatile |
| 5 | France | 173 1000 t | 2023 | up 16.1% | rising |
| 6 | Canada | 153 1000 t | 2023 | down 0.6% | rising |
| 7 | United Kingdom of Great Britain and Northern Ireland | 151 1000 t | 2023 | up 11.0% | rising |
| 8 | Poland | 142 1000 t | 2023 | up 49.5% | rising |
| 9 | Saudi Arabia | 123 1000 t | 2023 | up 80.9% | rising |
| 10 | United Arab Emirates | 118 1000 t | 2023 | up 38.8% | rising |
| 11 | Italy | 103 1000 t | 2023 | up 2.0% | rising |
| 12 | Romania | 75 1000 t | 2023 | up 87.5% | rising |
| 13 | Spain | 69 1000 t | 2023 | up 21.1% | rising |
| 14 | Belgium | 62 1000 t | 2023 | up 77.1% | rising |
| 15 | Ukraine | 46 1000 t | 2023 | down 27.0% | flat |
| 16 | China | 44 1000 t | 2023 | up 22.2% | rising |
| 17 | Portugal | 43 1000 t | 2023 | up 168.8% | volatile |
| 18 | Austria | 41 1000 t | 2023 | down 2.4% | flat |
| 18 | Yemen | 41 1000 t | 2023 | — | volatile |
| 20 | Malaysia | 40 1000 t | 2023 | up 233.3% | rising |
| 21 | Bulgaria | 39 1000 t | 2023 | up 160.0% | rising |
| 21 | Mexico | 39 1000 t | 2023 | up 1,850.0% | volatile |
| 23 | Czechia | 37 1000 t | 2023 | up 5.7% | rising |
| 23 | Caribbean | 37 1000 t | 2023 | up 85.0% | rising |
| 25 | Sweden | 34 1000 t | 2023 | up 41.7% | flat |
| 26 | Bahamas | 32 1000 t | 2023 | up 77.8% | volatile |
| 27 | Syrian Arab Republic | 31 1000 t | 2023 | up 287.5% | volatile |
| 28 | Switzerland | 30 1000 t | 2023 | up 50.0% | rising |
| 28 | Chile | 30 1000 t | 2023 | up 400.0% | volatile |
| 30 | Serbia | 29 1000 t | 2023 | up 81.2% | rising |
| 31 | Kuwait | 28 1000 t | 2023 | up 3.7% | rising |
| 32 | Greece | 27 1000 t | 2023 | up 8.0% | falling |
| 33 | China, Hong Kong SAR | 26 1000 t | 2023 | up 4.0% | flat |
| 34 | Denmark | 24 1000 t | 2023 | up 100.0% | rising |
| 34 | Republic of Korea | 24 1000 t | 2023 | up 41.2% | rising |
| 36 | Hungary | 22 1000 t | 2023 | up 37.5% | rising |
| 37 | Croatia | 21 1000 t | 2023 | up 75.0% | rising |
| 37 | Slovakia | 21 1000 t | 2023 | up 50.0% | rising |
| 39 | Azerbaijan | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 39 | Oman | 20 1000 t | 2023 | up 185.7% | volatile |
| 41 | Philippines | 17 1000 t | 2023 | up 750.0% | volatile |
| 42 | China, mainland | 16 1000 t | 2023 | up 77.8% | rising |
| 43 | Ireland | 13 1000 t | 2023 | up 44.4% | rising |
| 43 | Namibia | 13 1000 t | 2023 | down 71.1% | volatile |
| 43 | Qatar | 13 1000 t | 2023 | — | falling |
| 46 | Bosnia and Herzegovina | 12 1000 t | 2023 | up 50.0% | rising |
| 47 | Norway | 11 1000 t | 2023 | up 57.1% | rising |
| 48 | Belarus | 10 1000 t | 2023 | up 25.0% | rising |
| 48 | Indonesia | 10 1000 t | 2023 | up 66.7% | volatile |
| 48 | Jordan | 10 1000 t | 2023 | down 28.6% | rising |
| 48 | Lithuania | 10 1000 t | 2023 | down 23.1% | falling |
| 48 | Slovenia | 10 1000 t | 2023 | up 11.1% | rising |
| 53 | Bahrain | 9 1000 t | 2023 | — | falling |
| 53 | Mauritius | 9 1000 t | 2023 | up 800.0% | volatile |
| 53 | Nepal | 9 1000 t | 2023 | up 125.0% | rising |
| 56 | North Macedonia | 8 1000 t | 2023 | up 60.0% | rising |
| 56 | Senegal | 8 1000 t | 2023 | down 52.9% | volatile |
| 56 | Uzbekistan | 8 1000 t | 2023 | — | volatile |
| 59 | Albania | 7 1000 t | 2023 | up 250.0% | rising |
| 59 | Finland | 7 1000 t | 2023 | up 16.7% | rising |
| 59 | Kazakhstan | 7 1000 t | 2023 | up 40.0% | rising |
| 62 | Latvia | 6 1000 t | 2023 | up 50.0% | rising |
| 62 | Maldives | 6 1000 t | 2023 | up 500.0% | volatile |
| 64 | Armenia | 5 1000 t | 2023 | up 400.0% | volatile |
| 64 | Algeria | 5 1000 t | 2023 | up 150.0% | volatile |
| 64 | Georgia | 5 1000 t | 2023 | up 25.0% | rising |
| 64 | Libya | 5 1000 t | 2023 | up 400.0% | volatile |
| 64 | Peru | 5 1000 t | 2023 | up 150.0% | volatile |
| 64 | Republic of Moldova | 5 1000 t | 2023 | up 66.7% | rising |
| 70 | Colombia | 4 1000 t | 2023 | up 300.0% | volatile |
| 70 | Ghana | 4 1000 t | 2023 | down 82.6% | volatile |
| 70 | Montenegro | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | Mozambique | 4 1000 t | 2023 | — | volatile |
| 70 | Thailand | 4 1000 t | 2023 | up 300.0% | volatile |
| 70 | Türkiye | 4 1000 t | 2023 | up 100.0% | rising |
| 76 | Estonia | 3 1000 t | 2023 | up 50.0% | rising |
| 76 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 76 | Panama | 3 1000 t | 2023 | — | volatile |
| 76 | Paraguay | 3 1000 t | 2023 | up 200.0% | volatile |
| 76 | Melanesia | 3 1000 t | 2023 | — | volatile |
| 76 | Democratic Republic of the Congo | 3 1000 t | 2023 | — | volatile |
| 76 | Australia and New Zealand | 3 1000 t | 2023 | down 70.0% | falling |
| 76 | Côte d'Ivoire | 3 1000 t | 2023 | — | volatile |
| 84 | Australia | 2 1000 t | 2023 | down 75.0% | falling |
| 84 | Brazil | 2 1000 t | 2023 | down 33.3% | rising |
| 84 | Barbados | 2 1000 t | 2023 | up 100.0% | volatile |
| 84 | Cyprus | 2 1000 t | 2023 | up 100.0% | rising |
| 84 | Djibouti | 2 1000 t | 2023 | up 100.0% | rising |
| 84 | Dominican Republic | 2 1000 t | 2023 | down 60.0% | volatile |
| 84 | Fiji | 2 1000 t | 2023 | — | volatile |
| 84 | Luxembourg | 2 1000 t | 2023 | up 100.0% | rising |
| 84 | El Salvador | 2 1000 t | 2023 | — | volatile |
| 84 | Uruguay | 2 1000 t | 2023 | unchanged | rising |
| 84 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 84 | China, Macao SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 96 | Afghanistan | 1 1000 t | 2023 | unchanged | rising |
| 96 | Angola | 1 1000 t | 2023 | down 66.7% | falling |
| 96 | Argentina | 1 1000 t | 2023 | down 83.3% | volatile |
| 96 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 96 | Guyana | 1 1000 t | 2023 | — | volatile |
| 96 | Iceland | 1 1000 t | 2023 | unchanged | rising |
| 96 | Kenya | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Malta | 1 1000 t | 2023 | — | volatile |
| 96 | Mauritania | 1 1000 t | 2023 | down 80.0% | volatile |
| 96 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 96 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 96 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 96 | Cabo Verde | 1 1000 t | 2023 | — | volatile |
| 96 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 110 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 110 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 110 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 110 | Belize | 0 1000 t | 2023 | — | flat |
| 110 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 110 | Congo | 0 1000 t | 2023 | — | flat |
| 110 | Comoros | 0 1000 t | 2023 | — | flat |
| 110 | Cuba | 0 1000 t | 2019 | — | flat |
| 110 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 110 | Gabon | 0 1000 t | 2023 | — | volatile |
| 110 | Guinea | 0 1000 t | 2023 | — | volatile |
| 110 | Gambia | 0 1000 t | 2023 | — | flat |
| 110 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 110 | Grenada | 0 1000 t | 2023 | — | volatile |
| 110 | Guatemala | 0 1000 t | 2023 | — | flat |
| 110 | Honduras | 0 1000 t | 2023 | — | flat |
| 110 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | India | 0 1000 t | 2023 | — | flat |
| 110 | Israel | 0 1000 t | 2023 | — | flat |
| 110 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 110 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Kiribati | 0 1000 t | 2023 | — | flat |
| 110 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 110 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Liberia | 0 1000 t | 2023 | — | volatile |
| 110 | Saint Lucia | 0 1000 t | 2022 | — | volatile |
| 110 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 110 | Lesotho | 0 1000 t | 2023 | — | flat |
| 110 | Morocco | 0 1000 t | 2023 | — | flat |
| 110 | Madagascar | 0 1000 t | 2023 | — | flat |
| 110 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 110 | Myanmar | 0 1000 t | 2021 | down 100.0% | volatile |
| 110 | Mongolia | 0 1000 t | 2023 | — | flat |
| 110 | Malawi | 0 1000 t | 2023 | — | volatile |
| 110 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 110 | Niger | 0 1000 t | 2023 | — | volatile |
| 110 | Nauru | 0 1000 t | 2023 | — | flat |
| 110 | Pakistan | 0 1000 t | 2023 | — | flat |
| 110 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 110 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 110 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 110 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 110 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 110 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 110 | Seychelles | 0 1000 t | 2023 | — | flat |
| 110 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 110 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 110 | Tonga | 0 1000 t | 2023 | — | flat |
| 110 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 110 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 110 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 110 | Uganda | 0 1000 t | 2023 | — | flat |
| 110 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 110 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 110 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Zambia | 0 1000 t | 2023 | — | volatile |
| 110 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 110 | Micronesia | 0 1000 t | 2023 | — | flat |
| 110 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 110 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Bolivia (Plurinational State of) | 0 1000 t | 2022 | — | volatile |
| 110 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2021 | — | flat |
| 110 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 110 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 110 | Democratic People's Republic of Korea | 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 8,440 1000 t
- Americas 5,338 1000 t
- Northern America 5,204 1000 t
- United States of America 5,051 1000 t
- Europe 2,118 1000 t
- European Union (27) 1,544 1000 t
- Asia 907 1000 t
- Western Europe 864 1000 t
- Western Asia 680 1000 t
- Eastern Europe 659 1000 t
- Southern Europe 335 1000 t
- Northern Europe 259 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.