Fruits, other — 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
Fruits, other — Residuals is currently reported for 182 countries. The highest value is 766 1000 t in Brazil; the lowest is -181 1000 t in Viet Nam.
The median across all reporting countries is 0 1000 t, and the mean is 21.29 1000 t.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 37 countries rose and 43 fell. The largest increase was in Armenia (up 2,500.0%), and the largest decrease in Uzbekistan (down 2,075.0%).
Fruits, other — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 766 1000 t | 2023 | up 316.3% | volatile |
| 2 | Thailand | 523 1000 t | 2023 | down 31.0% | falling |
| 3 | Mexico | 325 1000 t | 2023 | down 23.0% | falling |
| 4 | Saudi Arabia | 298 1000 t | 2023 | up 3.5% | rising |
| 5 | Philippines | 241 1000 t | 2023 | down 2.8% | flat |
| 6 | China | 211 1000 t | 2023 | down 16.3% | falling |
| 7 | India | 205 1000 t | 2023 | up 34.9% | rising |
| 8 | Myanmar | 193 1000 t | 2023 | up 49.6% | rising |
| 9 | Caribbean | 150 1000 t | 2023 | up 782.4% | volatile |
| 10 | Türkiye | 145 1000 t | 2023 | up 104.2% | rising |
| 11 | Dominican Republic | 128 1000 t | 2023 | — | volatile |
| 12 | China, Taiwan Province of | 127 1000 t | 2023 | down 31.0% | falling |
| 13 | Bangladesh | 112 1000 t | 2023 | up 57.7% | rising |
| 14 | Iraq | 110 1000 t | 2023 | up 189.5% | rising |
| 15 | Pakistan | 105 1000 t | 2023 | up 12.9% | rising |
| 16 | China, mainland | 91 1000 t | 2023 | up 35.8% | rising |
| 17 | United Arab Emirates | 82 1000 t | 2023 | up 43.9% | rising |
| 18 | Indonesia | 76 1000 t | 2023 | up 5.6% | rising |
| 19 | Algeria | 74 1000 t | 2023 | down 16.9% | falling |
| 20 | Malaysia | 70 1000 t | 2023 | up 191.7% | volatile |
| 21 | Egypt | 69 1000 t | 2023 | up 40.8% | volatile |
| 22 | Zambia | 67 1000 t | 2023 | — | volatile |
| 23 | Ecuador | 56 1000 t | 2023 | down 48.6% | falling |
| 24 | Colombia | 53 1000 t | 2023 | up 194.4% | volatile |
| 25 | Kenya | 50 1000 t | 2023 | up 28.2% | rising |
| 26 | Ukraine | 47 1000 t | 2023 | up 571.4% | volatile |
| 27 | Switzerland | 46 1000 t | 2023 | down 9.8% | flat |
| 28 | Guatemala | 45 1000 t | 2023 | down 2.2% | falling |
| 29 | Poland | 44 1000 t | 2023 | up 144.4% | volatile |
| 30 | Peru | 32 1000 t | 2023 | down 36.0% | falling |
| 31 | Argentina | 31 1000 t | 2023 | up 124.6% | volatile |
| 32 | Germany | 29 1000 t | 2023 | up 16.0% | rising |
| 33 | Italy | 28 1000 t | 2023 | up 154.5% | volatile |
| 34 | Armenia | 24 1000 t | 2023 | up 2,500.0% | volatile |
| 35 | Australia and New Zealand | 22 1000 t | 2023 | down 35.3% | falling |
| 36 | Australia | 21 1000 t | 2023 | down 32.3% | falling |
| 37 | Jordan | 19 1000 t | 2023 | unchanged | falling |
| 38 | Denmark | 14 1000 t | 2023 | up 180.0% | volatile |
| 39 | Trinidad and Tobago | 13 1000 t | 2023 | up 8.3% | flat |
| 39 | Tunisia | 13 1000 t | 2023 | up 18.2% | rising |
| 41 | Jamaica | 11 1000 t | 2023 | up 120.0% | rising |
| 42 | Ghana | 9 1000 t | 2023 | down 30.8% | falling |
| 43 | Romania | 6 1000 t | 2023 | up 100.0% | volatile |
| 43 | El Salvador | 6 1000 t | 2023 | down 89.5% | volatile |
| 43 | Serbia | 6 1000 t | 2023 | down 14.3% | falling |
| 46 | Austria | 5 1000 t | 2023 | down 82.1% | falling |
| 46 | Costa Rica | 5 1000 t | 2023 | — | volatile |
| 48 | Finland | 4 1000 t | 2023 | down 33.3% | falling |
| 48 | Morocco | 4 1000 t | 2023 | up 180.0% | volatile |
| 48 | Republic of Moldova | 4 1000 t | 2023 | unchanged | volatile |
| 51 | Sri Lanka | 3 1000 t | 2023 | down 50.0% | volatile |
| 52 | Bhutan | 2 1000 t | 2023 | — | falling |
| 52 | Chile | 2 1000 t | 2023 | down 50.0% | volatile |
| 52 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | unchanged | falling |
| 55 | Bulgaria | 1 1000 t | 2023 | unchanged | falling |
| 55 | Cyprus | 1 1000 t | 2023 | unchanged | rising |
| 55 | Croatia | 1 1000 t | 2023 | down 85.7% | volatile |
| 55 | Hungary | 1 1000 t | 2023 | down 90.9% | volatile |
| 55 | Lebanon | 1 1000 t | 2023 | down 50.0% | volatile |
| 55 | New Zealand | 1 1000 t | 2023 | down 66.7% | volatile |
| 55 | French Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 55 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 55 | Polynesia | 1 1000 t | 2023 | down 50.0% | volatile |
| 64 | Angola | 0 1000 t | 2023 | — | volatile |
| 64 | Albania | 0 1000 t | 2023 | — | volatile |
| 64 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 64 | Burkina Faso | 0 1000 t | 2023 | up 100.0% | volatile |
| 64 | Bahrain | 0 1000 t | 2023 | — | flat |
| 64 | Bahamas | 0 1000 t | 2023 | — | flat |
| 64 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 64 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 64 | Belize | 0 1000 t | 2023 | up 100.0% | volatile |
| 64 | Barbados | 0 1000 t | 2023 | — | flat |
| 64 | Botswana | 0 1000 t | 2023 | — | flat |
| 64 | Canada | 0 1000 t | 2023 | — | volatile |
| 64 | Congo | 0 1000 t | 2023 | — | flat |
| 64 | Comoros | 0 1000 t | 2023 | — | flat |
| 64 | Cuba | 0 1000 t | 2019 | — | flat |
| 64 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 64 | Gabon | 0 1000 t | 2023 | — | flat |
| 64 | Guinea | 0 1000 t | 2023 | — | volatile |
| 64 | Gambia | 0 1000 t | 2023 | — | volatile |
| 64 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 64 | Grenada | 0 1000 t | 2023 | — | flat |
| 64 | Guyana | 0 1000 t | 2023 | — | volatile |
| 64 | Honduras | 0 1000 t | 2023 | — | volatile |
| 64 | Haiti | 0 1000 t | 2023 | — | flat |
| 64 | Iceland | 0 1000 t | 2023 | — | flat |
| 64 | Israel | 0 1000 t | 2023 | — | flat |
| 64 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 64 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 64 | Kiribati | 0 1000 t | 2023 | — | flat |
| 64 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 64 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 64 | Liberia | 0 1000 t | 2023 | — | volatile |
| 64 | Libya | 0 1000 t | 2023 | — | flat |
| 64 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 64 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 64 | Latvia | 0 1000 t | 2023 | — | volatile |
| 64 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 64 | Maldives | 0 1000 t | 2023 | — | volatile |
| 64 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 64 | Malta | 0 1000 t | 2023 | — | flat |
| 64 | Montenegro | 0 1000 t | 2023 | — | flat |
| 64 | Mongolia | 0 1000 t | 2023 | — | flat |
| 64 | Mauritania | 0 1000 t | 2023 | — | flat |
| 64 | Mauritius | 0 1000 t | 2023 | — | flat |
| 64 | Malawi | 0 1000 t | 2023 | — | flat |
| 64 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 64 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 64 | Niger | 0 1000 t | 2023 | — | flat |
| 64 | Norway | 0 1000 t | 2023 | — | flat |
| 64 | Nepal | 0 1000 t | 2023 | — | flat |
| 64 | Nauru | 0 1000 t | 2023 | — | flat |
| 64 | Oman | 0 1000 t | 2023 | — | volatile |
| 64 | Panama | 0 1000 t | 2023 | — | flat |
| 64 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 64 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Qatar | 0 1000 t | 2023 | — | flat |
| 64 | Rwanda | 0 1000 t | 2023 | — | flat |
| 64 | Senegal | 0 1000 t | 2023 | — | flat |
| 64 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 64 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 64 | Suriname | 0 1000 t | 2023 | — | volatile |
| 64 | Slovakia | 0 1000 t | 2023 | — | flat |
| 64 | Eswatini | 0 1000 t | 2023 | — | flat |
| 64 | Seychelles | 0 1000 t | 2023 | — | flat |
| 64 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 64 | Tonga | 0 1000 t | 2023 | — | flat |
| 64 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 64 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 64 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 64 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 64 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Yemen | 0 1000 t | 2023 | — | volatile |
| 64 | Micronesia | 0 1000 t | 2023 | — | flat |
| 64 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 64 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 64 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 64 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 64 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 64 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 64 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 64 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 64 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 64 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 149 | Fiji | -1 1000 t | 2023 | up 50.0% | volatile |
| 149 | Saint Lucia | -1 1000 t | 2023 | — | volatile |
| 149 | Syrian Arab Republic | -1 1000 t | 2023 | unchanged | volatile |
| 152 | Ethiopia | -2 1000 t | 2023 | down 100.0% | volatile |
| 152 | France | -2 1000 t | 2023 | up 66.7% | volatile |
| 152 | Ireland | -2 1000 t | 2023 | — | volatile |
| 152 | North Macedonia | -2 1000 t | 2023 | down 200.0% | volatile |
| 152 | Portugal | -2 1000 t | 2023 | down 100.0% | volatile |
| 157 | Russian Federation | -3 1000 t | 2023 | — | volatile |
| 158 | Cameroon | -4 1000 t | 2023 | down 300.0% | volatile |
| 159 | Lesotho | -5 1000 t | 2023 | — | volatile |
| 159 | Nigeria | -5 1000 t | 2023 | — | volatile |
| 159 | Sweden | -5 1000 t | 2023 | — | volatile |
| 159 | Zimbabwe | -5 1000 t | 2023 | — | volatile |
| 163 | Estonia | -6 1000 t | 2023 | — | volatile |
| 163 | Mozambique | -6 1000 t | 2023 | — | volatile |
| 165 | Uganda | -7 1000 t | 2023 | — | volatile |
| 165 | China, Hong Kong SAR | -7 1000 t | 2023 | — | volatile |
| 167 | Afghanistan | -11 1000 t | 2023 | up 26.7% | volatile |
| 167 | Georgia | -11 1000 t | 2023 | down 83.3% | volatile |
| 167 | Nicaragua | -11 1000 t | 2023 | up 31.2% | volatile |
| 170 | Solomon Islands | -15 1000 t | 2023 | — | volatile |
| 171 | Melanesia | -16 1000 t | 2023 | down 700.0% | volatile |
| 172 | Cambodia | -17 1000 t | 2023 | — | volatile |
| 173 | Belgium | -21 1000 t | 2023 | down 90.9% | volatile |
| 174 | United Republic of Tanzania | -27 1000 t | 2023 | down 1,250.0% | volatile |
| 175 | Azerbaijan | -35 1000 t | 2023 | down 683.3% | volatile |
| 175 | Greece | -35 1000 t | 2023 | down 183.3% | volatile |
| 177 | Uzbekistan | -79 1000 t | 2023 | down 2,075.0% | volatile |
| 178 | Spain | -91 1000 t | 2023 | down 750.0% | volatile |
| 179 | Côte d'Ivoire | -108 1000 t | 2023 | down 1,450.0% | volatile |
| 180 | Tajikistan | -115 1000 t | 2023 | — | volatile |
| 181 | Netherlands (Kingdom of the) | -120 1000 t | 2023 | down 1,233.3% | volatile |
| 182 | Viet Nam | -181 1000 t | 2023 | down 335.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,533 1000 t
- Asia 1,970 1000 t
- Americas 1,442 1000 t
- South America 940 1000 t
- South-eastern Asia 904 1000 t
- Western Asia 634 1000 t
- Net Food Importing Developing Countries (NFIDCs) 603 1000 t
- Southern Asia 416 1000 t
- Central America 369 1000 t
- Least Developed Countries (LDCs) 259 1000 t
- Eastern Asia 211 1000 t
- Africa 168 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.