Lemons, Limes and products — Residuals 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 — Residuals is currently reported for 179 countries. The highest value is 186 1000 t in India; the lowest is -69 1000 t in Viet Nam.
The median across all reporting countries is 0 1000 t, and the mean is 2.2 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 9 countries rose and 4 fell. The largest increase was in Lebanon (up 800.0%), and the largest decrease in Greece (down 100.0%).
Lemons, Limes and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 186 1000 t | 2023 | up 51.2% | rising |
| 2 | Saudi Arabia | 131 1000 t | 2023 | up 227.5% | rising |
| 3 | Iran (Islamic Republic of) | 67 1000 t | 2023 | up 19.6% | rising |
| 4 | Spain | 56 1000 t | 2023 | up 9.8% | volatile |
| 5 | Jordan | 23 1000 t | 2023 | up 53.3% | rising |
| 6 | Thailand | 10 1000 t | 2023 | down 16.7% | falling |
| 7 | Lebanon | 7 1000 t | 2023 | up 800.0% | volatile |
| 8 | Peru | 6 1000 t | 2023 | up 200.0% | volatile |
| 9 | Zimbabwe | 3 1000 t | 2023 | up 200.0% | volatile |
| 10 | El Salvador | 2 1000 t | 2023 | down 66.7% | volatile |
| 11 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 11 | Angola | 0 1000 t | 2023 | — | flat |
| 11 | Albania | 0 1000 t | 2023 | — | flat |
| 11 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 11 | Argentina | 0 1000 t | 2023 | — | flat |
| 11 | Armenia | 0 1000 t | 2023 | — | flat |
| 11 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 11 | Australia | 0 1000 t | 2023 | — | flat |
| 11 | Austria | 0 1000 t | 2023 | — | flat |
| 11 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 11 | Belgium | 0 1000 t | 2023 | — | flat |
| 11 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 11 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 11 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 11 | Bahrain | 0 1000 t | 2023 | — | flat |
| 11 | Bahamas | 0 1000 t | 2023 | — | flat |
| 11 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 11 | Belarus | 0 1000 t | 2023 | — | flat |
| 11 | Barbados | 0 1000 t | 2023 | — | volatile |
| 11 | Botswana | 0 1000 t | 2023 | — | flat |
| 11 | Canada | 0 1000 t | 2023 | — | flat |
| 11 | Switzerland | 0 1000 t | 2023 | — | flat |
| 11 | Chile | 0 1000 t | 2023 | — | flat |
| 11 | China | 0 1000 t | 2023 | — | flat |
| 11 | Cameroon | 0 1000 t | 2023 | — | flat |
| 11 | Congo | 0 1000 t | 2023 | — | flat |
| 11 | Colombia | 0 1000 t | 2023 | — | flat |
| 11 | Comoros | 0 1000 t | 2023 | — | flat |
| 11 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 11 | Cuba | 0 1000 t | 2019 | — | flat |
| 11 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 11 | Czechia | 0 1000 t | 2023 | — | flat |
| 11 | Germany | 0 1000 t | 2023 | — | flat |
| 11 | Djibouti | 0 1000 t | 2023 | — | flat |
| 11 | Denmark | 0 1000 t | 2023 | — | flat |
| 11 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 11 | Algeria | 0 1000 t | 2023 | — | flat |
| 11 | Ecuador | 0 1000 t | 2023 | — | flat |
| 11 | Egypt | 0 1000 t | 2023 | — | flat |
| 11 | Estonia | 0 1000 t | 2023 | — | flat |
| 11 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 11 | Finland | 0 1000 t | 2023 | — | flat |
| 11 | Fiji | 0 1000 t | 2023 | — | flat |
| 11 | France | 0 1000 t | 2023 | — | flat |
| 11 | Gabon | 0 1000 t | 2023 | — | flat |
| 11 | Georgia | 0 1000 t | 2023 | — | flat |
| 11 | Guinea | 0 1000 t | 2023 | — | volatile |
| 11 | Gambia | 0 1000 t | 2023 | — | flat |
| 11 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 11 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Grenada | 0 1000 t | 2023 | — | flat |
| 11 | Guatemala | 0 1000 t | 2023 | — | flat |
| 11 | Honduras | 0 1000 t | 2023 | — | flat |
| 11 | Croatia | 0 1000 t | 2023 | — | flat |
| 11 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Indonesia | 0 1000 t | 2023 | — | flat |
| 11 | Ireland | 0 1000 t | 2023 | — | volatile |
| 11 | Iraq | 0 1000 t | 2023 | — | flat |
| 11 | Iceland | 0 1000 t | 2023 | — | flat |
| 11 | Israel | 0 1000 t | 2023 | — | flat |
| 11 | Italy | 0 1000 t | 2023 | — | flat |
| 11 | Jamaica | 0 1000 t | 2023 | — | flat |
| 11 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 11 | Kenya | 0 1000 t | 2023 | — | flat |
| 11 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 11 | Cambodia | 0 1000 t | 2023 | — | flat |
| 11 | Kiribati | 0 1000 t | 2023 | — | flat |
| 11 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 11 | Kuwait | 0 1000 t | 2023 | — | flat |
| 11 | Liberia | 0 1000 t | 2023 | — | flat |
| 11 | Libya | 0 1000 t | 2023 | — | flat |
| 11 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 11 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 11 | Lesotho | 0 1000 t | 2023 | — | flat |
| 11 | Lithuania | 0 1000 t | 2023 | — | flat |
| 11 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 11 | Latvia | 0 1000 t | 2023 | — | flat |
| 11 | Morocco | 0 1000 t | 2023 | — | flat |
| 11 | Madagascar | 0 1000 t | 2023 | — | flat |
| 11 | Maldives | 0 1000 t | 2023 | — | flat |
| 11 | Mexico | 0 1000 t | 2023 | — | flat |
| 11 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 11 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 11 | Malta | 0 1000 t | 2023 | — | flat |
| 11 | Montenegro | 0 1000 t | 2023 | — | flat |
| 11 | Mongolia | 0 1000 t | 2023 | — | flat |
| 11 | Mozambique | 0 1000 t | 2023 | — | flat |
| 11 | Mauritania | 0 1000 t | 2023 | — | flat |
| 11 | Mauritius | 0 1000 t | 2023 | — | flat |
| 11 | Malawi | 0 1000 t | 2023 | — | flat |
| 11 | Malaysia | 0 1000 t | 2023 | — | flat |
| 11 | Namibia | 0 1000 t | 2023 | — | flat |
| 11 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 11 | Niger | 0 1000 t | 2023 | — | volatile |
| 11 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 11 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 11 | Norway | 0 1000 t | 2023 | — | flat |
| 11 | Nepal | 0 1000 t | 2023 | — | flat |
| 11 | Nauru | 0 1000 t | 2023 | — | flat |
| 11 | New Zealand | 0 1000 t | 2023 | — | flat |
| 11 | Oman | 0 1000 t | 2023 | — | flat |
| 11 | Pakistan | 0 1000 t | 2023 | — | flat |
| 11 | Panama | 0 1000 t | 2023 | — | flat |
| 11 | Philippines | 0 1000 t | 2023 | — | flat |
| 11 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 11 | Poland | 0 1000 t | 2023 | — | flat |
| 11 | Portugal | 0 1000 t | 2023 | — | flat |
| 11 | Paraguay | 0 1000 t | 2023 | — | flat |
| 11 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Qatar | 0 1000 t | 2023 | — | flat |
| 11 | Romania | 0 1000 t | 2023 | — | flat |
| 11 | Rwanda | 0 1000 t | 2023 | — | flat |
| 11 | Senegal | 0 1000 t | 2023 | — | flat |
| 11 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 11 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 11 | Serbia | 0 1000 t | 2023 | — | flat |
| 11 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 11 | Suriname | 0 1000 t | 2023 | — | flat |
| 11 | Slovakia | 0 1000 t | 2023 | — | flat |
| 11 | Slovenia | 0 1000 t | 2023 | — | flat |
| 11 | Sweden | 0 1000 t | 2023 | — | flat |
| 11 | Seychelles | 0 1000 t | 2023 | — | flat |
| 11 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 11 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 11 | Tonga | 0 1000 t | 2023 | — | flat |
| 11 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 11 | Tunisia | 0 1000 t | 2023 | — | flat |
| 11 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 11 | Uganda | 0 1000 t | 2023 | — | volatile |
| 11 | Ukraine | 0 1000 t | 2023 | — | flat |
| 11 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 11 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 11 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 11 | Samoa | 0 1000 t | 2023 | — | flat |
| 11 | Yemen | 0 1000 t | 2023 | — | flat |
| 11 | Zambia | 0 1000 t | 2023 | — | flat |
| 11 | Micronesia | 0 1000 t | 2023 | — | flat |
| 11 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 11 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 11 | Melanesia | 0 1000 t | 2023 | — | flat |
| 11 | Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 11 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 11 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 11 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 11 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 11 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 11 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 11 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 11 | Türkiye | 0 1000 t | 2023 | — | flat |
| 11 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 11 | China, mainland | 0 1000 t | 2023 | — | flat |
| 11 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 11 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 11 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 11 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 11 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 11 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 172 | Belize | -1 1000 t | 2023 | — | volatile |
| 172 | Guyana | -1 1000 t | 2023 | — | volatile |
| 172 | Hungary | -1 1000 t | 2023 | — | volatile |
| 172 | Myanmar | -1 1000 t | 2023 | — | volatile |
| 172 | Côte d'Ivoire | -1 1000 t | 2023 | — | volatile |
| 177 | Ghana | -4 1000 t | 2023 | — | volatile |
| 178 | Eswatini | -6 1000 t | 2023 | — | volatile |
| 179 | Brazil | -14 1000 t | 2023 | — | volatile |
| 180 | Viet Nam | -69 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 392 1000 t
- Asia 354 1000 t
- Southern Asia 252 1000 t
- Western Asia 161 1000 t
- Southern Europe 56 1000 t
- European Union (27) 55 1000 t
- Europe 55 1000 t
- Net Food Importing Developing Countries (NFIDCs) 24 1000 t
- Eastern Africa 3 1000 t
- Low Income Food Deficit Countries (LIFDCs) 3 1000 t
- South Africa 0 1000 t
- Oceania 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.