Oranges, Mandarines — 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
Oranges, Mandarines — Residuals is currently reported for 182 countries. The highest value is 127 1000 t in Germany; the lowest is -50 1000 t in Costa Rica.
The median across all reporting countries is 0 1000 t, and the mean is 3.03 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 15 countries rose and 10 fell. The largest increase was in Tunisia (up 400.0%), and the largest decrease in Cyprus (down 3,000.0%).
Oranges, Mandarines — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 127 1000 t | 2023 | up 41.1% | rising |
| 2 | Netherlands (Kingdom of the) | 125 1000 t | 2023 | up 237.8% | volatile |
| 3 | Nepal | 77 1000 t | 2023 | up 75.0% | rising |
| 4 | Spain | 75 1000 t | 2023 | down 79.8% | volatile |
| 5 | Tunisia | 50 1000 t | 2023 | up 400.0% | volatile |
| 6 | Saudi Arabia | 49 1000 t | 2023 | down 2.0% | rising |
| 7 | Thailand | 37 1000 t | 2023 | down 22.9% | falling |
| 8 | China | 27 1000 t | 2023 | up 68.8% | rising |
| 8 | China, Taiwan Province of | 27 1000 t | 2023 | up 68.8% | rising |
| 10 | Algeria | 14 1000 t | 2023 | up 55.6% | rising |
| 11 | Lebanon | 13 1000 t | 2023 | up 18.2% | rising |
| 12 | Côte d'Ivoire | 11 1000 t | 2023 | up 22.2% | rising |
| 13 | Morocco | 10 1000 t | 2023 | unchanged | rising |
| 13 | Iran (Islamic Republic of) | 10 1000 t | 2023 | down 16.7% | falling |
| 15 | Israel | 4 1000 t | 2023 | down 60.0% | volatile |
| 16 | Switzerland | 3 1000 t | 2023 | unchanged | flat |
| 17 | Australia | 2 1000 t | 2023 | up 100.0% | rising |
| 17 | Romania | 2 1000 t | 2023 | down 86.7% | volatile |
| 17 | Zimbabwe | 2 1000 t | 2023 | down 77.8% | volatile |
| 17 | Australia and New Zealand | 2 1000 t | 2023 | up 100.0% | volatile |
| 21 | Jordan | 1 1000 t | 2023 | up 109.1% | volatile |
| 22 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 22 | Angola | 0 1000 t | 2023 | — | flat |
| 22 | Albania | 0 1000 t | 2023 | — | flat |
| 22 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 22 | Argentina | 0 1000 t | 2023 | — | flat |
| 22 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 22 | Austria | 0 1000 t | 2023 | — | flat |
| 22 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 22 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 22 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 22 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 22 | Bahrain | 0 1000 t | 2023 | — | flat |
| 22 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 22 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 22 | Belarus | 0 1000 t | 2023 | — | flat |
| 22 | Brazil | 0 1000 t | 2023 | — | flat |
| 22 | Barbados | 0 1000 t | 2023 | — | volatile |
| 22 | Bhutan | 0 1000 t | 2023 | — | flat |
| 22 | Botswana | 0 1000 t | 2023 | — | flat |
| 22 | Canada | 0 1000 t | 2023 | — | flat |
| 22 | Chile | 0 1000 t | 2023 | — | flat |
| 22 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 22 | Congo | 0 1000 t | 2023 | — | flat |
| 22 | Colombia | 0 1000 t | 2023 | — | flat |
| 22 | Comoros | 0 1000 t | 2023 | — | flat |
| 22 | Cuba | 0 1000 t | 2019 | — | flat |
| 22 | Czechia | 0 1000 t | 2023 | — | flat |
| 22 | Djibouti | 0 1000 t | 2023 | — | flat |
| 22 | Denmark | 0 1000 t | 2023 | — | volatile |
| 22 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 22 | Ecuador | 0 1000 t | 2023 | — | flat |
| 22 | Egypt | 0 1000 t | 2023 | — | volatile |
| 22 | Estonia | 0 1000 t | 2023 | — | flat |
| 22 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 22 | Finland | 0 1000 t | 2023 | — | flat |
| 22 | Fiji | 0 1000 t | 2023 | — | flat |
| 22 | France | 0 1000 t | 2023 | — | flat |
| 22 | Gabon | 0 1000 t | 2023 | — | flat |
| 22 | Georgia | 0 1000 t | 2023 | — | volatile |
| 22 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Guinea | 0 1000 t | 2023 | — | volatile |
| 22 | Gambia | 0 1000 t | 2023 | — | flat |
| 22 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 22 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Grenada | 0 1000 t | 2023 | — | flat |
| 22 | Guyana | 0 1000 t | 2023 | — | flat |
| 22 | Honduras | 0 1000 t | 2023 | — | volatile |
| 22 | Croatia | 0 1000 t | 2023 | — | flat |
| 22 | Haiti | 0 1000 t | 2023 | — | flat |
| 22 | Hungary | 0 1000 t | 2023 | — | flat |
| 22 | Indonesia | 0 1000 t | 2023 | — | flat |
| 22 | India | 0 1000 t | 2023 | — | volatile |
| 22 | Ireland | 0 1000 t | 2023 | — | volatile |
| 22 | Iraq | 0 1000 t | 2023 | — | flat |
| 22 | Iceland | 0 1000 t | 2023 | — | flat |
| 22 | Italy | 0 1000 t | 2023 | — | flat |
| 22 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 22 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 22 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 22 | Cambodia | 0 1000 t | 2023 | — | flat |
| 22 | Kiribati | 0 1000 t | 2023 | — | flat |
| 22 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 22 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 22 | Liberia | 0 1000 t | 2023 | — | flat |
| 22 | Libya | 0 1000 t | 2023 | — | flat |
| 22 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 22 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 22 | Lesotho | 0 1000 t | 2023 | — | flat |
| 22 | Lithuania | 0 1000 t | 2023 | — | flat |
| 22 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 22 | Latvia | 0 1000 t | 2023 | — | flat |
| 22 | Madagascar | 0 1000 t | 2023 | — | flat |
| 22 | Maldives | 0 1000 t | 2023 | — | flat |
| 22 | Mexico | 0 1000 t | 2023 | — | flat |
| 22 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 22 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 22 | Malta | 0 1000 t | 2023 | — | volatile |
| 22 | Myanmar | 0 1000 t | 2023 | — | flat |
| 22 | Montenegro | 0 1000 t | 2023 | — | flat |
| 22 | Mongolia | 0 1000 t | 2023 | — | flat |
| 22 | Mozambique | 0 1000 t | 2023 | — | flat |
| 22 | Mauritania | 0 1000 t | 2023 | — | flat |
| 22 | Mauritius | 0 1000 t | 2023 | — | flat |
| 22 | Malawi | 0 1000 t | 2023 | — | flat |
| 22 | Malaysia | 0 1000 t | 2023 | — | flat |
| 22 | Namibia | 0 1000 t | 2023 | — | flat |
| 22 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 22 | Niger | 0 1000 t | 2023 | — | flat |
| 22 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 22 | Norway | 0 1000 t | 2023 | — | flat |
| 22 | Nauru | 0 1000 t | 2023 | — | flat |
| 22 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 22 | Oman | 0 1000 t | 2023 | — | flat |
| 22 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Panama | 0 1000 t | 2023 | — | flat |
| 22 | Peru | 0 1000 t | 2023 | — | flat |
| 22 | Philippines | 0 1000 t | 2023 | — | flat |
| 22 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 22 | Poland | 0 1000 t | 2023 | — | flat |
| 22 | Portugal | 0 1000 t | 2023 | — | flat |
| 22 | Paraguay | 0 1000 t | 2023 | — | flat |
| 22 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Qatar | 0 1000 t | 2023 | — | flat |
| 22 | Rwanda | 0 1000 t | 2023 | — | flat |
| 22 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 22 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 22 | El Salvador | 0 1000 t | 2023 | — | flat |
| 22 | Serbia | 0 1000 t | 2023 | — | flat |
| 22 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 22 | Suriname | 0 1000 t | 2023 | — | flat |
| 22 | Slovakia | 0 1000 t | 2023 | — | flat |
| 22 | Slovenia | 0 1000 t | 2023 | — | flat |
| 22 | Sweden | 0 1000 t | 2023 | — | flat |
| 22 | Eswatini | 0 1000 t | 2023 | — | flat |
| 22 | Seychelles | 0 1000 t | 2023 | — | flat |
| 22 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 22 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 22 | Tonga | 0 1000 t | 2023 | — | flat |
| 22 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 22 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 22 | Ukraine | 0 1000 t | 2023 | — | flat |
| 22 | Uruguay | 0 1000 t | 2023 | — | flat |
| 22 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 22 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 22 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 22 | Samoa | 0 1000 t | 2023 | — | flat |
| 22 | Yemen | 0 1000 t | 2023 | — | flat |
| 22 | Zambia | 0 1000 t | 2023 | — | volatile |
| 22 | Micronesia | 0 1000 t | 2023 | — | flat |
| 22 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 22 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 22 | Melanesia | 0 1000 t | 2023 | — | flat |
| 22 | Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 22 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 22 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 22 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 22 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 22 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 22 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 22 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 22 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 22 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 22 | Türkiye | 0 1000 t | 2023 | — | flat |
| 22 | China, mainland | 0 1000 t | 2023 | — | flat |
| 22 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 22 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 22 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 22 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 22 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 22 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 174 | Armenia | -1 1000 t | 2023 | — | volatile |
| 174 | Nigeria | -1 1000 t | 2023 | — | volatile |
| 174 | Senegal | -1 1000 t | 2023 | — | volatile |
| 177 | Belize | -5 1000 t | 2023 | up 92.2% | volatile |
| 178 | Guatemala | -9 1000 t | 2023 | — | volatile |
| 178 | Kenya | -9 1000 t | 2023 | — | volatile |
| 180 | Uganda | -11 1000 t | 2023 | — | volatile |
| 181 | Cyprus | -29 1000 t | 2023 | down 3,000.0% | volatile |
| 182 | Costa Rica | -50 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 525 1000 t
- Europe 331 1000 t
- European Union (27) 300 1000 t
- Western Europe 255 1000 t
- Asia 189 1000 t
- Net Food Importing Developing Countries (NFIDCs) 130 1000 t
- Southern Asia 87 1000 t
- Southern Europe 75 1000 t
- Northern Africa 74 1000 t
- Africa 68 1000 t
- Land Locked Developing Countries (LLDCs) 68 1000 t
- Least Developed Countries (LDCs) 66 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.