Fruits - Excluding Wine — 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...
Countries reporting
167
Highest
751 1000 t
Brazil
Lowest
-3,120 1000 t
Italy
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Fruits - Excluding Wine — Residuals is currently reported for 167 countries. The highest value is 751 1000 t in Brazil; the lowest is -3,120 1000 t in Italy.
The median across all reporting countries is 0 1000 t, and the mean is -14.44 1000 t.
Over the past decade 61 countries rose and 61 fell. The largest increase was in Armenia (up 700.0%), and the largest decrease in Tajikistan (down 11,500.0%).
Fruits - Excluding Wine — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 751 1000 t | 2023 | up 291.1% | volatile |
| 2 | Thailand | 750 1000 t | 2023 | down 8.4% | falling |
| 3 | Saudi Arabia | 538 1000 t | 2023 | up 31.2% | rising |
| 4 | Ecuador | 514 1000 t | 2023 | up 202.4% | volatile |
| 5 | China | 430 1000 t | 2023 | up 2.6% | flat |
| 6 | Iran (Islamic Republic of) | 408 1000 t | 2023 | up 10.0% | rising |
| 7 | India | 390 1000 t | 2023 | up 42.3% | rising |
| 8 | Mexico | 275 1000 t | 2023 | down 33.7% | falling |
| 9 | Philippines | 241 1000 t | 2023 | down 2.8% | volatile |
| 10 | China, Taiwan Province of | 221 1000 t | 2023 | down 11.2% | falling |
| 11 | China, mainland | 218 1000 t | 2023 | up 28.2% | rising |
| 12 | Myanmar | 192 1000 t | 2023 | up 48.8% | volatile |
| 13 | Germany | 164 1000 t | 2023 | down 86.8% | volatile |
| 14 | Turkey | 143 1000 t | 2023 | up 98.6% | volatile |
| 14 | Türkiye | 143 1000 t | 2023 | up 98.6% | volatile |
| 16 | South Africa | 141 1000 t | 2023 | up 251.6% | volatile |
| 17 | Dominican Republic | 128 1000 t | 2023 | — | volatile |
| 18 | Bangladesh | 111 1000 t | 2023 | up 58.6% | rising |
| 19 | Iraq | 110 1000 t | 2023 | up 189.5% | rising |
| 20 | Caribbean | 109 1000 t | 2023 | up 172.5% | volatile |
| 21 | Switzerland | 107 1000 t | 2023 | up 9.2% | falling |
| 22 | Pakistan | 83 1000 t | 2023 | up 654.5% | volatile |
| 23 | Nepal | 75 1000 t | 2023 | up 74.4% | rising |
| 24 | United Arab Emirates | 72 1000 t | 2023 | up 26.3% | volatile |
| 25 | Tunisia | 71 1000 t | 2023 | down 16.5% | falling |
| 26 | Malaysia | 70 1000 t | 2023 | up 191.7% | volatile |
| 27 | Poland | 67 1000 t | 2023 | down 16.2% | rising |
| 27 | Zambia | 67 1000 t | 2023 | — | volatile |
| 29 | Algeria | 63 1000 t | 2023 | down 37.6% | falling |
| 30 | Indonesia | 59 1000 t | 2023 | down 11.9% | rising |
| 31 | Morocco | 51 1000 t | 2023 | up 45.7% | volatile |
| 32 | Colombia | 44 1000 t | 2023 | up 193.3% | rising |
| 32 | Egypt | 44 1000 t | 2023 | down 12.0% | volatile |
| 34 | Netherlands (Kingdom of the) | 41 1000 t | 2023 | down 29.3% | volatile |
| 35 | Kenya | 38 1000 t | 2023 | up 144.2% | volatile |
| 35 | Peru | 38 1000 t | 2023 | down 20.8% | flat |
| 37 | Armenia | 32 1000 t | 2023 | up 700.0% | volatile |
| 37 | Israel | 32 1000 t | 2023 | down 5.9% | volatile |
| 39 | Argentina | 31 1000 t | 2023 | down 85.7% | volatile |
| 40 | Serbia | 17 1000 t | 2023 | down 10.5% | flat |
| 41 | Lebanon | 16 1000 t | 2023 | up 433.3% | volatile |
| 41 | New Zealand | 16 1000 t | 2023 | up 200.0% | volatile |
| 43 | Denmark | 14 1000 t | 2023 | up 180.0% | volatile |
| 44 | Romania | 13 1000 t | 2023 | down 82.4% | volatile |
| 45 | Jamaica | 11 1000 t | 2023 | up 120.0% | rising |
| 46 | Spain | 7 1000 t | 2023 | down 99.9% | volatile |
| 46 | El Salvador | 7 1000 t | 2023 | down 89.1% | volatile |
| 48 | Finland | 4 1000 t | 2023 | down 33.3% | falling |
| 49 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 50 | Kazakhstan | 2 1000 t | 2023 | up 120.0% | volatile |
| 50 | Sri Lanka | 2 1000 t | 2023 | down 33.3% | volatile |
| 50 | Lithuania | 2 1000 t | 2023 | up 150.0% | volatile |
| 50 | Latvia | 2 1000 t | 2023 | down 33.3% | volatile |
| 50 | North Macedonia | 2 1000 t | 2023 | down 89.5% | volatile |
| 50 | Slovenia | 2 1000 t | 2023 | down 93.9% | volatile |
| 50 | Ukraine | 2 1000 t | 2023 | down 96.0% | volatile |
| 50 | Zimbabwe | 2 1000 t | 2023 | down 80.0% | volatile |
| 50 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | unchanged | volatile |
| 59 | Bhutan | 1 1000 t | 2023 | — | falling |
| 59 | French Polynesia | 1 1000 t | 2023 | down 50.0% | falling |
| 59 | Polynesia | 1 1000 t | 2023 | down 66.7% | volatile |
| 62 | Angola | 0 1000 t | 2023 | — | volatile |
| 62 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 62 | Burkina Faso | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 62 | Bosnia and Herzegovina | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Cuba | 0 1000 t | 2019 | up 100.0% | volatile |
| 62 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 62 | Gabon | 0 1000 t | 2023 | — | volatile |
| 62 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Guinea | 0 1000 t | 2023 | — | volatile |
| 62 | Gambia | 0 1000 t | 2023 | — | volatile |
| 62 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 62 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Iceland | 0 1000 t | 2023 | — | volatile |
| 62 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 62 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Liberia | 0 1000 t | 2023 | — | volatile |
| 62 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 62 | Maldives | 0 1000 t | 2023 | — | volatile |
| 62 | Malta | 0 1000 t | 2023 | — | volatile |
| 62 | Montenegro | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 62 | Malawi | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Niger | 0 1000 t | 2023 | — | volatile |
| 62 | Oman | 0 1000 t | 2023 | — | volatile |
| 62 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Suriname | 0 1000 t | 2023 | — | volatile |
| 62 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 62 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 62 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 62 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 62 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 62 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 132 | Fiji | -1 1000 t | 2023 | up 50.0% | volatile |
| 132 | Guyana | -1 1000 t | 2023 | — | volatile |
| 132 | Saint Lucia | -1 1000 t | 2023 | — | volatile |
| 132 | Senegal | -1 1000 t | 2023 | — | volatile |
| 132 | Republic of Korea | -1 1000 t | 2023 | down 114.3% | volatile |
| 137 | Barbados | -2 1000 t | 2023 | — | volatile |
| 137 | Ethiopia | -2 1000 t | 2023 | down 100.0% | volatile |
| 137 | Ireland | -2 1000 t | 2023 | unchanged | volatile |
| 137 | Syria | -2 1000 t | 2023 | up 50.0% | volatile |
| 137 | Syrian Arab Republic | -2 1000 t | 2023 | up 50.0% | volatile |
| 142 | Jordan | -3 1000 t | 2023 | down 113.0% | volatile |
| 142 | Russia | -3 1000 t | 2023 | down 100.3% | volatile |
| 142 | Russian Federation | -3 1000 t | 2023 | down 100.3% | volatile |
| 145 | Cameroon | -4 1000 t | 2023 | down 102.0% | volatile |
| 145 | Paraguay | -4 1000 t | 2023 | down 500.0% | flat |
| 145 | Sierra Leone | -4 1000 t | 2023 | — | volatile |
| 148 | Lesotho | -5 1000 t | 2023 | — | volatile |
| 148 | Sweden | -5 1000 t | 2023 | — | volatile |
| 150 | Albania | -6 1000 t | 2023 | down 20.0% | flat |
| 150 | Estonia | -6 1000 t | 2023 | — | volatile |
| 150 | Mozambique | -6 1000 t | 2023 | — | volatile |
| 153 | Belize | -7 1000 t | 2023 | up 90.5% | volatile |
| 153 | Nigeria | -7 1000 t | 2023 | — | volatile |
| 155 | China, Hong Kong SAR | -8 1000 t | 2023 | — | volatile |
| 156 | Bulgaria | -10 1000 t | 2023 | up 86.8% | rising |
| 157 | Afghanistan | -11 1000 t | 2023 | up 26.7% | volatile |
| 157 | Moldova | -11 1000 t | 2023 | up 95.4% | volatile |
| 157 | Republic of Moldova | -11 1000 t | 2023 | up 95.4% | volatile |
| 160 | Solomon Islands | -15 1000 t | 2023 | — | volatile |
| 161 | Ghana | -16 1000 t | 2023 | down 260.0% | volatile |
| 161 | Eswatini | -16 1000 t | 2023 | — | volatile |
| 161 | United States | -16 1000 t | 2023 | up 90.3% | volatile |
| 161 | Melanesia | -16 1000 t | 2023 | down 700.0% | volatile |
| 165 | Chile | -17 1000 t | 2023 | up 90.1% | volatile |
| 165 | Cambodia | -17 1000 t | 2023 | — | volatile |
| 167 | Azerbaijan | -24 1000 t | 2023 | down 900.0% | volatile |
| 168 | Croatia | -25 1000 t | 2023 | down 525.0% | volatile |
| 168 | Uganda | -25 1000 t | 2023 | down 2,400.0% | volatile |
| 170 | Trinidad and Tobago | -26 1000 t | 2023 | down 316.7% | volatile |
| 171 | United Republic of Tanzania | -28 1000 t | 2023 | down 1,300.0% | volatile |
| 172 | Greece | -38 1000 t | 2023 | up 97.5% | volatile |
| 173 | Nicaragua | -47 1000 t | 2023 | down 161.1% | volatile |
| 174 | Georgia | -52 1000 t | 2023 | — | volatile |
| 175 | Portugal | -62 1000 t | 2023 | up 46.1% | rising |
| 176 | Austria | -75 1000 t | 2023 | up 9.6% | rising |
| 177 | Cote d'Ivoire | -81 1000 t | 2023 | down 338.2% | volatile |
| 177 | Côte d'Ivoire | -81 1000 t | 2023 | down 338.2% | volatile |
| 179 | Australia and New Zealand | -85 1000 t | 2023 | up 64.6% | falling |
| 180 | Australia | -101 1000 t | 2023 | up 54.9% | volatile |
| 181 | Cyprus | -107 1000 t | 2023 | down 1,428.6% | volatile |
| 182 | Rwanda | -113 1000 t | 2023 | down 11,200.0% | volatile |
| 183 | Tajikistan | -114 1000 t | 2023 | down 11,500.0% | volatile |
| 184 | Hungary | -117 1000 t | 2023 | up 13.3% | flat |
| 185 | Guatemala | -161 1000 t | 2023 | down 235.3% | volatile |
| 186 | Belgium | -180 1000 t | 2023 | down 339.0% | volatile |
| 187 | Vietnam | -250 1000 t | 2023 | down 428.9% | volatile |
| 187 | Viet Nam | -250 1000 t | 2023 | down 428.9% | volatile |
| 189 | Costa Rica | -304 1000 t | 2023 | down 7.0% | falling |
| 190 | Uzbekistan | -306 1000 t | 2023 | down 1,900.0% | volatile |
| 191 | Laos | -647 1000 t | 2023 | — | volatile |
| 191 | Lao People's Democratic Republic | -647 1000 t | 2023 | — | volatile |
| 193 | France | -2,294 1000 t | 2023 | down 121.2% | falling |
| 194 | Italy | -3,120 1000 t | 2023 | down 181.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Asia 2,227 1000 t
- South America 1,357 1000 t
- Americas 1,214 1000 t
- Southern Asia 1,060 1000 t
- Western Asia 755 1000 t
- Eastern Asia 430 1000 t
- South-Eastern Asia 397 1000 t
- Northern Africa 229 1000 t
- Southern Africa 120 1000 t
- Africa 115 1000 t
- Small island developing States (SIDS) 86 1000 t
- Northern Europe 9 1000 t
- Middle Africa -2 1000 t
- Northern America -16 1000 t
- United States of America -16 1000 t
- Eastern Europe -59 1000 t
- Eastern Africa -83 1000 t
- Oceania -100 1000 t
- Net Food Importing Developing Countries (NFIDCs) -140 1000 t
- Western Africa -149 1000 t
- Central America -236 1000 t
- Central Asia -415 1000 t
- Least Developed Countries (LDCs) -484 1000 t
- Low Income Food Deficit Countries (LIFDCs) -604 1000 t
- Land Locked Developing Countries (LLDCs) -1,111 1000 t
- World -2,055 1000 t
- Western Europe -2,237 1000 t
- Southern Europe -3,223 1000 t
- Europe -5,510 1000 t
- European Union (27) -5,724 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.