Apples 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
Apples and products — Residuals is currently reported for 181 countries. The highest value is 142 1000 t in China; the lowest is -65 1000 t in Ukraine.
The median across all reporting countries is 0 1000 t, and the mean is 2.61 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 20 countries rose and 14 fell. The largest increase was in Azerbaijan (up 450.0%), and the largest decrease in Ukraine (down 280.6%).
Apples and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 142 1000 t | 2023 | up 17.4% | rising |
| 2 | China, mainland | 127 1000 t | 2023 | up 23.3% | rising |
| 3 | Switzerland | 50 1000 t | 2023 | up 16.3% | volatile |
| 4 | Saudi Arabia | 42 1000 t | 2023 | — | volatile |
| 5 | Chile | 36 1000 t | 2023 | up 12.5% | falling |
| 6 | Morocco | 35 1000 t | 2023 | up 59.1% | rising |
| 7 | Israel | 27 1000 t | 2023 | up 22.7% | rising |
| 8 | Poland | 24 1000 t | 2023 | down 65.7% | volatile |
| 9 | New Zealand | 15 1000 t | 2023 | up 66.7% | rising |
| 9 | Australia and New Zealand | 15 1000 t | 2023 | up 66.7% | rising |
| 9 | China, Taiwan Province of | 15 1000 t | 2023 | down 21.1% | falling |
| 12 | Azerbaijan | 11 1000 t | 2023 | up 450.0% | volatile |
| 12 | Serbia | 11 1000 t | 2023 | unchanged | rising |
| 14 | Hungary | 9 1000 t | 2023 | up 80.0% | falling |
| 15 | Germany | 8 1000 t | 2023 | down 65.2% | volatile |
| 16 | Uzbekistan | 7 1000 t | 2023 | down 46.2% | rising |
| 17 | Romania | 6 1000 t | 2023 | — | volatile |
| 18 | Italy | 4 1000 t | 2023 | up 108.9% | volatile |
| 18 | North Macedonia | 4 1000 t | 2023 | — | volatile |
| 18 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | — | volatile |
| 21 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 22 | Georgia | 2 1000 t | 2023 | down 66.7% | falling |
| 22 | Lithuania | 2 1000 t | 2023 | up 150.0% | volatile |
| 22 | Latvia | 2 1000 t | 2023 | down 33.3% | volatile |
| 22 | Tunisia | 2 1000 t | 2023 | up 100.0% | rising |
| 26 | Bulgaria | 1 1000 t | 2023 | unchanged | rising |
| 26 | Pakistan | 1 1000 t | 2023 | unchanged | volatile |
| 26 | Slovenia | 1 1000 t | 2023 | down 50.0% | falling |
| 26 | Tajikistan | 1 1000 t | 2023 | unchanged | flat |
| 30 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 30 | Angola | 0 1000 t | 2023 | — | flat |
| 30 | Albania | 0 1000 t | 2023 | — | flat |
| 30 | Argentina | 0 1000 t | 2023 | — | flat |
| 30 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 30 | Australia | 0 1000 t | 2023 | — | flat |
| 30 | Austria | 0 1000 t | 2023 | — | flat |
| 30 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 30 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 30 | Bahrain | 0 1000 t | 2023 | — | flat |
| 30 | Bahamas | 0 1000 t | 2023 | — | flat |
| 30 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 30 | Belarus | 0 1000 t | 2023 | — | flat |
| 30 | Belize | 0 1000 t | 2023 | — | flat |
| 30 | Brazil | 0 1000 t | 2023 | — | flat |
| 30 | Barbados | 0 1000 t | 2023 | — | flat |
| 30 | Bhutan | 0 1000 t | 2023 | — | flat |
| 30 | Botswana | 0 1000 t | 2023 | — | flat |
| 30 | Canada | 0 1000 t | 2023 | — | volatile |
| 30 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 30 | Congo | 0 1000 t | 2023 | — | flat |
| 30 | Comoros | 0 1000 t | 2023 | — | flat |
| 30 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 30 | Cuba | 0 1000 t | 2019 | — | flat |
| 30 | Czechia | 0 1000 t | 2023 | — | volatile |
| 30 | Djibouti | 0 1000 t | 2023 | — | flat |
| 30 | Denmark | 0 1000 t | 2023 | — | flat |
| 30 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 30 | Algeria | 0 1000 t | 2023 | — | flat |
| 30 | Ecuador | 0 1000 t | 2023 | — | flat |
| 30 | Egypt | 0 1000 t | 2023 | — | flat |
| 30 | Estonia | 0 1000 t | 2023 | — | flat |
| 30 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 30 | Finland | 0 1000 t | 2023 | — | flat |
| 30 | Fiji | 0 1000 t | 2023 | — | flat |
| 30 | France | 0 1000 t | 2023 | — | volatile |
| 30 | Gabon | 0 1000 t | 2023 | — | flat |
| 30 | Ghana | 0 1000 t | 2023 | — | flat |
| 30 | Guinea | 0 1000 t | 2023 | — | flat |
| 30 | Gambia | 0 1000 t | 2023 | — | flat |
| 30 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 30 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Grenada | 0 1000 t | 2023 | — | flat |
| 30 | Guatemala | 0 1000 t | 2023 | — | flat |
| 30 | Guyana | 0 1000 t | 2023 | — | flat |
| 30 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Croatia | 0 1000 t | 2023 | — | flat |
| 30 | Haiti | 0 1000 t | 2023 | — | flat |
| 30 | Indonesia | 0 1000 t | 2023 | — | flat |
| 30 | India | 0 1000 t | 2023 | — | flat |
| 30 | Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Iraq | 0 1000 t | 2023 | — | flat |
| 30 | Iceland | 0 1000 t | 2023 | — | flat |
| 30 | Jamaica | 0 1000 t | 2023 | — | flat |
| 30 | Jordan | 0 1000 t | 2023 | — | flat |
| 30 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 30 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Cambodia | 0 1000 t | 2023 | — | flat |
| 30 | Kiribati | 0 1000 t | 2023 | — | flat |
| 30 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 30 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Lebanon | 0 1000 t | 2023 | — | flat |
| 30 | Liberia | 0 1000 t | 2023 | — | flat |
| 30 | Libya | 0 1000 t | 2023 | — | flat |
| 30 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 30 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 30 | Lesotho | 0 1000 t | 2023 | — | flat |
| 30 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 30 | Madagascar | 0 1000 t | 2023 | — | flat |
| 30 | Maldives | 0 1000 t | 2023 | — | flat |
| 30 | Mexico | 0 1000 t | 2023 | — | volatile |
| 30 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 30 | Malta | 0 1000 t | 2023 | — | flat |
| 30 | Myanmar | 0 1000 t | 2023 | — | flat |
| 30 | Montenegro | 0 1000 t | 2023 | — | flat |
| 30 | Mongolia | 0 1000 t | 2023 | — | flat |
| 30 | Mozambique | 0 1000 t | 2023 | — | flat |
| 30 | Mauritania | 0 1000 t | 2023 | — | flat |
| 30 | Mauritius | 0 1000 t | 2023 | — | flat |
| 30 | Malawi | 0 1000 t | 2023 | — | flat |
| 30 | Malaysia | 0 1000 t | 2023 | — | flat |
| 30 | Namibia | 0 1000 t | 2023 | — | flat |
| 30 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 30 | Niger | 0 1000 t | 2023 | — | flat |
| 30 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 30 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 30 | Norway | 0 1000 t | 2023 | — | flat |
| 30 | Nepal | 0 1000 t | 2023 | — | flat |
| 30 | Nauru | 0 1000 t | 2023 | — | flat |
| 30 | Oman | 0 1000 t | 2023 | — | flat |
| 30 | Panama | 0 1000 t | 2023 | — | flat |
| 30 | Peru | 0 1000 t | 2023 | — | flat |
| 30 | Philippines | 0 1000 t | 2023 | — | flat |
| 30 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 30 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Paraguay | 0 1000 t | 2023 | — | flat |
| 30 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 30 | Qatar | 0 1000 t | 2023 | — | flat |
| 30 | Rwanda | 0 1000 t | 2023 | — | flat |
| 30 | Senegal | 0 1000 t | 2023 | — | flat |
| 30 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 30 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 30 | El Salvador | 0 1000 t | 2023 | — | flat |
| 30 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 30 | Suriname | 0 1000 t | 2023 | — | flat |
| 30 | Slovakia | 0 1000 t | 2023 | — | flat |
| 30 | Sweden | 0 1000 t | 2023 | — | flat |
| 30 | Eswatini | 0 1000 t | 2023 | — | flat |
| 30 | Seychelles | 0 1000 t | 2023 | — | flat |
| 30 | Thailand | 0 1000 t | 2023 | — | flat |
| 30 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 30 | Tonga | 0 1000 t | 2023 | — | flat |
| 30 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 30 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 30 | Uganda | 0 1000 t | 2023 | — | flat |
| 30 | Uruguay | 0 1000 t | 2023 | — | flat |
| 30 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 30 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 30 | Samoa | 0 1000 t | 2023 | — | volatile |
| 30 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 30 | Zambia | 0 1000 t | 2023 | — | flat |
| 30 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 30 | Micronesia | 0 1000 t | 2023 | — | flat |
| 30 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 30 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 30 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 30 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 30 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 30 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 30 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 30 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 30 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 30 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 30 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 30 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 30 | Türkiye | 0 1000 t | 2023 | — | flat |
| 30 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 30 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 30 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 30 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 30 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 30 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 30 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 177 | Colombia | -1 1000 t | 2023 | — | volatile |
| 178 | United Arab Emirates | -9 1000 t | 2023 | — | volatile |
| 179 | Cyprus | -13 1000 t | 2023 | — | volatile |
| 180 | Republic of Moldova | -15 1000 t | 2023 | up 93.8% | volatile |
| 181 | Spain | -32 1000 t | 2023 | down 190.9% | volatile |
| 182 | Ukraine | -65 1000 t | 2023 | down 280.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 410 1000 t
- Asia 214 1000 t
- Eastern Asia 142 1000 t
- Africa 129 1000 t
- South Africa 93 1000 t
- Southern Africa 93 1000 t
- Western Europe 63 1000 t
- Western Asia 60 1000 t
- Americas 37 1000 t
- South America 36 1000 t
- Northern Africa 36 1000 t
- Net Food Importing Developing Countries (NFIDCs) 36 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.