Apples and products — 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
Apples and products — Export quantity is currently reported for 130 countries. The highest value is 3,428 1000 t in Poland; the lowest is 0 1000 t in Democratic Republic of the Congo.
The median across all reporting countries is 8 1000 t, and the mean is 151.48 1000 t.
Over the past decade 31 countries rose and 56 fell. The largest increase was in Kazakhstan (up 5,000.0%), and the largest decrease in Egypt (down 100.0%).
Apples and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Poland | 3,428 1000 t | 2023 | up 57.8% | rising |
| 2 | China | 1,219 1000 t | 2023 | down 36.5% | falling |
| 3 | Turkey | 1,209 1000 t | 2023 | up 194.9% | volatile |
| 3 | Türkiye | 1,209 1000 t | 2023 | up 194.9% | volatile |
| 5 | China, mainland | 1,180 1000 t | 2023 | down 36.4% | falling |
| 6 | United States | 1,151 1000 t | 2023 | down 0.9% | rising |
| 7 | Italy | 1,132 1000 t | 2023 | up 11.5% | flat |
| 8 | Iran (Islamic Republic of) | 833 1000 t | 2023 | up 880.0% | rising |
| 9 | South Africa | 752 1000 t | 2023 | up 13.9% | rising |
| 10 | Austria | 542 1000 t | 2023 | up 36.9% | rising |
| 11 | Chile | 534 1000 t | 2023 | down 50.6% | falling |
| 12 | Moldova | 525 1000 t | 2023 | up 1.0% | rising |
| 12 | Republic of Moldova | 525 1000 t | 2023 | up 1.0% | rising |
| 14 | Germany | 470 1000 t | 2023 | down 22.7% | falling |
| 15 | Ukraine | 457 1000 t | 2023 | down 13.0% | rising |
| 16 | Spain | 419 1000 t | 2023 | up 76.1% | rising |
| 17 | France | 406 1000 t | 2023 | down 36.2% | falling |
| 18 | Netherlands (Kingdom of the) | 367 1000 t | 2023 | down 17.3% | falling |
| 19 | Australia and New Zealand | 330 1000 t | 2023 | down 9.6% | rising |
| 20 | New Zealand | 321 1000 t | 2023 | down 8.3% | rising |
| 21 | Uzbekistan | 218 1000 t | 2023 | up 772.0% | volatile |
| 22 | Belgium | 214 1000 t | 2023 | down 26.5% | falling |
| 23 | Hungary | 213 1000 t | 2023 | down 25.8% | falling |
| 24 | Argentina | 180 1000 t | 2023 | down 43.0% | falling |
| 25 | Serbia | 151 1000 t | 2023 | down 0.7% | rising |
| 26 | Brazil | 125 1000 t | 2023 | down 36.9% | falling |
| 27 | Canada | 120 1000 t | 2023 | up 62.2% | rising |
| 28 | Azerbaijan | 114 1000 t | 2023 | up 153.3% | rising |
| 29 | United Arab Emirates | 105 1000 t | 2023 | up 138.6% | volatile |
| 30 | Portugal | 103 1000 t | 2023 | up 145.2% | rising |
| 31 | Greece | 85 1000 t | 2023 | up 30.8% | rising |
| 32 | Belarus | 71 1000 t | 2023 | down 40.8% | volatile |
| 33 | North Macedonia | 63 1000 t | 2023 | down 19.2% | falling |
| 34 | Ireland | 55 1000 t | 2023 | up 77.4% | rising |
| 35 | Kazakhstan | 51 1000 t | 2023 | up 5,000.0% | volatile |
| 35 | Lebanon | 51 1000 t | 2023 | down 29.2% | flat |
| 37 | Afghanistan | 48 1000 t | 2023 | up 585.7% | volatile |
| 38 | Guatemala | 46 1000 t | 2023 | up 91.7% | rising |
| 39 | Czechia | 40 1000 t | 2023 | down 54.5% | falling |
| 40 | Israel | 34 1000 t | 2023 | down 26.1% | falling |
| 40 | China, Hong Kong SAR | 34 1000 t | 2023 | down 44.3% | falling |
| 42 | United Kingdom | 31 1000 t | 2023 | down 16.2% | falling |
| 42 | Georgia | 31 1000 t | 2023 | up 520.0% | volatile |
| 42 | United Kingdom of Great Britain and Northern Ireland | 31 1000 t | 2023 | down 16.2% | falling |
| 45 | Croatia | 30 1000 t | 2023 | up 130.8% | rising |
| 45 | Russia | 30 1000 t | 2023 | down 6.2% | rising |
| 45 | Russian Federation | 30 1000 t | 2023 | down 6.2% | rising |
| 48 | Denmark | 29 1000 t | 2023 | up 3.6% | rising |
| 49 | Pakistan | 26 1000 t | 2023 | down 43.5% | volatile |
| 50 | India | 23 1000 t | 2023 | down 37.8% | volatile |
| 51 | Cyprus | 22 1000 t | 2023 | up 46.7% | rising |
| 52 | El Salvador | 21 1000 t | 2023 | down 61.1% | falling |
| 53 | Honduras | 19 1000 t | 2023 | down 67.8% | falling |
| 54 | Slovakia | 16 1000 t | 2023 | down 38.5% | falling |
| 55 | Lithuania | 15 1000 t | 2023 | down 82.1% | volatile |
| 55 | Romania | 15 1000 t | 2023 | down 68.1% | falling |
| 55 | Slovenia | 15 1000 t | 2023 | down 63.4% | falling |
| 55 | Syria | 15 1000 t | 2023 | down 70.0% | volatile |
| 55 | Syrian Arab Republic | 15 1000 t | 2023 | down 70.0% | volatile |
| 60 | Bulgaria | 14 1000 t | 2023 | down 12.5% | rising |
| 61 | Thailand | 13 1000 t | 2023 | down 50.0% | volatile |
| 62 | Saudi Arabia | 11 1000 t | 2023 | down 82.8% | volatile |
| 63 | Sweden | 10 1000 t | 2023 | up 150.0% | rising |
| 64 | Australia | 9 1000 t | 2023 | down 40.0% | falling |
| 65 | Latvia | 8 1000 t | 2023 | down 33.3% | flat |
| 65 | Malaysia | 8 1000 t | 2023 | down 74.2% | volatile |
| 67 | Kyrgyzstan | 6 1000 t | 2023 | down 78.6% | volatile |
| 68 | Armenia | 5 1000 t | 2023 | up 400.0% | volatile |
| 68 | Caribbean | 5 1000 t | 2023 | up 400.0% | volatile |
| 68 | Republic of Korea | 5 1000 t | 2023 | unchanged | falling |
| 68 | China, Taiwan Province of | 5 1000 t | 2023 | up 25.0% | falling |
| 72 | Bosnia and Herzegovina | 4 1000 t | 2023 | down 55.6% | falling |
| 72 | Morocco | 4 1000 t | 2023 | up 300.0% | volatile |
| 74 | Cameroon | 3 1000 t | 2022 | — | volatile |
| 75 | Albania | 2 1000 t | 2023 | down 33.3% | volatile |
| 75 | Barbados | 2 1000 t | 2023 | — | volatile |
| 75 | Colombia | 2 1000 t | 2023 | — | volatile |
| 75 | Cuba | 2 1000 t | 2019 | — | volatile |
| 75 | Algeria | 2 1000 t | 2023 | — | volatile |
| 75 | Kenya | 2 1000 t | 2023 | down 33.3% | volatile |
| 75 | Mexico | 2 1000 t | 2023 | down 81.8% | volatile |
| 75 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 75 | Trinidad and Tobago | 2 1000 t | 2023 | up 100.0% | volatile |
| 84 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 84 | Switzerland | 1 1000 t | 2023 | down 97.8% | volatile |
| 84 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 84 | Dominican Republic | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Ecuador | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Estonia | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Finland | 1 1000 t | 2023 | down 66.7% | falling |
| 84 | Ghana | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Kuwait | 1 1000 t | 2023 | down 80.0% | volatile |
| 84 | Laos | 1 1000 t | 2021 | — | volatile |
| 84 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 84 | Norway | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Peru | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Philippines | 1 1000 t | 2023 | — | volatile |
| 84 | Turkmenistan | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Uruguay | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Vietnam | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Viet Nam | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Lao People's Democratic Republic | 1 1000 t | 2021 | — | volatile |
| 84 | United Republic of Tanzania | 1 1000 t | 2023 | — | volatile |
| 105 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 105 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 105 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Fiji | 0 1000 t | 2023 | — | volatile |
| 105 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 105 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 105 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 105 | Nicaragua | 0 1000 t | 2022 | — | volatile |
| 105 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 105 | Senegal | 0 1000 t | 2022 | — | volatile |
| 105 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 105 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 105 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 105 | Uganda | 0 1000 t | 2023 | — | volatile |
| 105 | Samoa | 0 1000 t | 2020 | — | volatile |
| 105 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Zambia | 0 1000 t | 2023 | — | volatile |
| 105 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 105 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 105 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 105 | Democratic Republic of the Congo | 0 1000 t | 2019 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 16,363 1000 t
- Europe 8,967 1000 t
- European Union (27) 7,652 1000 t
- Eastern Europe 4,809 1000 t
- Asia 4,093 1000 t
- Americas 2,209 1000 t
- Southern Europe 2,006 1000 t
- Western Europe 2,001 1000 t
- Western Asia 1,602 1000 t
- Northern America 1,271 1000 t
- Eastern Asia 1,262 1000 t
- United States of America 1,151 1000 t
- Land Locked Developing Countries (LLDCs) 1,032 1000 t
- Southern Asia 931 1000 t
- South America 844 1000 t
- Africa 764 1000 t
- Southern Africa 753 1000 t
- Oceania 331 1000 t
- Low Income Food Deficit Countries (LIFDCs) 290 1000 t
- Central Asia 275 1000 t
- Northern Europe 150 1000 t
- Net Food Importing Developing Countries (NFIDCs) 130 1000 t
- Central America 88 1000 t
- Least Developed Countries (LDCs) 50 1000 t
- South-Eastern Asia 23 1000 t
- Small island developing States (SIDS) 6 1000 t
- Northern Africa 6 1000 t
- Eastern Africa 4 1000 t
- Western Africa 1 1000 t
- Middle Africa 0 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.