Oranges, Mandarines — Export quantity 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 — Export quantity is currently reported for 166 countries. The highest value is 10,345 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 4.5 1000 t, and the mean is 176.42 1000 t.
Over the past decade 47 countries rose and 58 fell. The largest increase was in Dominican Republic (up 1,033.3%), and the largest decrease in Burkina Faso (down 100.0%).
Oranges, Mandarines — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 10,345 1000 t | 2023 | down 15.3% | rising |
| 2 | Spain | 3,011 1000 t | 2023 | down 25.5% | falling |
| 3 | Netherlands (Kingdom of the) | 2,734 1000 t | 2023 | down 8.1% | rising |
| 4 | Egypt | 1,589 1000 t | 2023 | up 38.7% | rising |
| 5 | Belgium | 1,503 1000 t | 2023 | down 44.0% | falling |
| 6 | Türkiye | 1,259 1000 t | 2023 | up 52.1% | rising |
| 7 | China | 1,098 1000 t | 2023 | up 12.0% | flat |
| 8 | China, mainland | 982 1000 t | 2023 | up 11.8% | falling |
| 9 | Greece | 587 1000 t | 2023 | up 23.1% | rising |
| 10 | Morocco | 467 1000 t | 2023 | down 6.4% | rising |
| 11 | Germany | 426 1000 t | 2023 | down 39.8% | falling |
| 12 | Mexico | 412 1000 t | 2023 | up 20.5% | rising |
| 13 | Italy | 357 1000 t | 2023 | unchanged | falling |
| 14 | Pakistan | 337 1000 t | 2023 | down 20.7% | flat |
| 15 | Chile | 331 1000 t | 2023 | up 147.0% | rising |
| 16 | Australia and New Zealand | 283 1000 t | 2023 | up 25.8% | rising |
| 17 | Australia | 279 1000 t | 2023 | up 28.0% | rising |
| 18 | Costa Rica | 268 1000 t | 2023 | up 3.5% | rising |
| 19 | Peru | 223 1000 t | 2023 | up 139.8% | rising |
| 20 | Israel | 204 1000 t | 2023 | down 12.4% | flat |
| 21 | Canada | 178 1000 t | 2023 | down 14.0% | falling |
| 22 | Portugal | 175 1000 t | 2023 | up 76.8% | rising |
| 23 | United Arab Emirates | 171 1000 t | 2023 | up 113.8% | rising |
| 24 | France | 149 1000 t | 2023 | down 34.9% | falling |
| 25 | Argentina | 119 1000 t | 2023 | down 43.9% | falling |
| 26 | Poland | 113 1000 t | 2023 | down 12.4% | falling |
| 27 | China, Hong Kong SAR | 105 1000 t | 2023 | up 32.9% | rising |
| 28 | Thailand | 80 1000 t | 2023 | down 3.6% | flat |
| 29 | Austria | 75 1000 t | 2023 | down 17.6% | falling |
| 30 | India | 70 1000 t | 2023 | up 141.4% | volatile |
| 30 | Zimbabwe | 70 1000 t | 2023 | up 37.3% | rising |
| 32 | Denmark | 67 1000 t | 2023 | down 27.2% | falling |
| 33 | Saudi Arabia | 64 1000 t | 2023 | down 69.5% | volatile |
| 34 | Honduras | 61 1000 t | 2023 | down 29.1% | falling |
| 35 | Uruguay | 60 1000 t | 2023 | down 41.2% | falling |
| 36 | Iran (Islamic Republic of) | 59 1000 t | 2023 | up 490.0% | volatile |
| 37 | Ireland | 58 1000 t | 2023 | down 14.7% | falling |
| 38 | Cyprus | 56 1000 t | 2023 | down 9.7% | falling |
| 39 | Nicaragua | 51 1000 t | 2023 | down 22.7% | falling |
| 40 | Georgia | 50 1000 t | 2023 | up 35.1% | rising |
| 41 | Slovenia | 47 1000 t | 2023 | up 104.3% | rising |
| 41 | Caribbean | 47 1000 t | 2023 | up 46.9% | rising |
| 43 | Croatia | 44 1000 t | 2023 | up 91.3% | flat |
| 44 | Dominican Republic | 34 1000 t | 2023 | up 1,033.3% | volatile |
| 45 | Guatemala | 32 1000 t | 2023 | up 357.1% | volatile |
| 46 | Czechia | 31 1000 t | 2023 | down 40.4% | falling |
| 46 | Malaysia | 31 1000 t | 2023 | up 19.2% | falling |
| 46 | Romania | 31 1000 t | 2023 | up 181.8% | volatile |
| 49 | Hungary | 30 1000 t | 2023 | up 57.9% | volatile |
| 50 | Belize | 29 1000 t | 2023 | down 84.7% | falling |
| 50 | United Kingdom of Great Britain and Northern Ireland | 29 1000 t | 2023 | down 80.4% | falling |
| 52 | Lithuania | 25 1000 t | 2023 | down 62.7% | falling |
| 53 | Bulgaria | 22 1000 t | 2023 | up 57.1% | rising |
| 54 | Kuwait | 20 1000 t | 2023 | unchanged | volatile |
| 55 | Lebanon | 15 1000 t | 2023 | down 76.9% | falling |
| 56 | Albania | 14 1000 t | 2023 | up 600.0% | volatile |
| 56 | Bhutan | 14 1000 t | 2023 | — | falling |
| 56 | Kenya | 14 1000 t | 2023 | up 366.7% | volatile |
| 56 | Latvia | 14 1000 t | 2023 | up 7.7% | rising |
| 60 | Ghana | 13 1000 t | 2023 | down 43.5% | rising |
| 60 | Slovakia | 13 1000 t | 2023 | down 48.0% | falling |
| 60 | Sweden | 13 1000 t | 2023 | up 18.2% | rising |
| 60 | Uganda | 13 1000 t | 2023 | up 333.3% | volatile |
| 60 | Russian Federation | 13 1000 t | 2023 | up 44.4% | rising |
| 65 | China, Taiwan Province of | 11 1000 t | 2023 | down 52.2% | falling |
| 66 | Colombia | 10 1000 t | 2023 | up 66.7% | volatile |
| 67 | Ecuador | 9 1000 t | 2023 | up 200.0% | volatile |
| 67 | Oman | 9 1000 t | 2023 | up 200.0% | volatile |
| 67 | Eswatini | 9 1000 t | 2023 | down 35.7% | falling |
| 67 | Syrian Arab Republic | 9 1000 t | 2023 | down 55.0% | volatile |
| 71 | Serbia | 8 1000 t | 2023 | up 14.3% | volatile |
| 72 | Finland | 7 1000 t | 2023 | down 41.7% | falling |
| 72 | Trinidad and Tobago | 7 1000 t | 2023 | up 16.7% | volatile |
| 72 | Tunisia | 7 1000 t | 2023 | down 78.1% | falling |
| 75 | Armenia | 6 1000 t | 2023 | up 500.0% | volatile |
| 75 | Barbados | 6 1000 t | 2023 | up 100.0% | volatile |
| 75 | Kazakhstan | 6 1000 t | 2023 | up 500.0% | volatile |
| 75 | El Salvador | 6 1000 t | 2023 | up 500.0% | volatile |
| 75 | Republic of Korea | 6 1000 t | 2023 | up 20.0% | rising |
| 80 | Azerbaijan | 5 1000 t | 2023 | up 400.0% | volatile |
| 80 | Algeria | 5 1000 t | 2023 | — | volatile |
| 80 | New Zealand | 5 1000 t | 2023 | down 28.6% | falling |
| 80 | Côte d'Ivoire | 5 1000 t | 2023 | — | volatile |
| 84 | Philippines | 4 1000 t | 2023 | up 33.3% | volatile |
| 85 | Switzerland | 3 1000 t | 2023 | down 96.1% | volatile |
| 85 | Paraguay | 3 1000 t | 2023 | unchanged | falling |
| 85 | Senegal | 3 1000 t | 2023 | up 200.0% | volatile |
| 85 | Viet Nam | 3 1000 t | 2023 | — | volatile |
| 89 | Bahrain | 2 1000 t | 2023 | — | volatile |
| 89 | Estonia | 2 1000 t | 2023 | down 33.3% | falling |
| 89 | Indonesia | 2 1000 t | 2023 | down 33.3% | falling |
| 89 | Luxembourg | 2 1000 t | 2023 | down 80.0% | volatile |
| 89 | Mozambique | 2 1000 t | 2023 | up 100.0% | volatile |
| 94 | Cuba | 1 1000 t | 2019 | down 96.7% | volatile |
| 94 | Jordan | 1 1000 t | 2023 | down 97.6% | volatile |
| 94 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 94 | Nigeria | 1 1000 t | 2023 | down 50.0% | volatile |
| 94 | Rwanda | 1 1000 t | 2022 | unchanged | volatile |
| 94 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Zambia | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Republic of Moldova | 1 1000 t | 2023 | down 75.0% | volatile |
| 94 | United Republic of Tanzania | 1 1000 t | 2023 | down 94.4% | volatile |
| 103 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 103 | Angola | 0 1000 t | 2023 | — | volatile |
| 103 | Antigua and Barbuda | 0 1000 t | 2020 | — | flat |
| 103 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Bahamas | 0 1000 t | 2022 | — | volatile |
| 103 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 103 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Botswana | 0 1000 t | 2023 | — | flat |
| 103 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Congo | 0 1000 t | 2023 | — | flat |
| 103 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Fiji | 0 1000 t | 2023 | — | volatile |
| 103 | Gabon | 0 1000 t | 2023 | — | flat |
| 103 | Guinea | 0 1000 t | 2023 | — | volatile |
| 103 | Gambia | 0 1000 t | 2023 | — | flat |
| 103 | Guinea-Bissau | 0 1000 t | 2017 | — | volatile |
| 103 | Grenada | 0 1000 t | 2023 | — | flat |
| 103 | Guyana | 0 1000 t | 2021 | — | volatile |
| 103 | Haiti | 0 1000 t | 2023 | — | flat |
| 103 | Iraq | 0 1000 t | 2023 | — | flat |
| 103 | Iceland | 0 1000 t | 2023 | — | flat |
| 103 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 103 | Cambodia | 0 1000 t | 2023 | — | flat |
| 103 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 103 | Liberia | 0 1000 t | 2023 | — | volatile |
| 103 | Libya | 0 1000 t | 2023 | — | flat |
| 103 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 103 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 103 | Lesotho | 0 1000 t | 2021 | — | flat |
| 103 | Madagascar | 0 1000 t | 2023 | — | flat |
| 103 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Montenegro | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Mongolia | 0 1000 t | 2018 | — | flat |
| 103 | Mauritania | 0 1000 t | 2022 | — | flat |
| 103 | Mauritius | 0 1000 t | 2023 | — | flat |
| 103 | Malawi | 0 1000 t | 2023 | — | volatile |
| 103 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 103 | Niger | 0 1000 t | 2021 | — | volatile |
| 103 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Nepal | 0 1000 t | 2023 | down 100.0% | falling |
| 103 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 103 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 103 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 103 | Suriname | 0 1000 t | 2021 | down 100.0% | volatile |
| 103 | Seychelles | 0 1000 t | 2016 | — | flat |
| 103 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 103 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 103 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 103 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 103 | Samoa | 0 1000 t | 2023 | — | flat |
| 103 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 103 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 103 | Polynesia | 0 1000 t | 2023 | — | flat |
| 103 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | flat |
| 103 | Bolivia (Plurinational State of) | 0 1000 t | 2022 | — | flat |
| 103 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 103 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 103 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 31,063 1000 t
- Americas 13,249 1000 t
- South America 11,100 1000 t
- Europe 9,604 1000 t
- European Union (27) 9,591 1000 t
- Western Europe 4,891 1000 t
- Africa 4,343 1000 t
- Southern Europe 4,244 1000 t
- Asia 3,584 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,806 1000 t
- Southern Africa 2,147 1000 t
- South Africa 2,138 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.