Apples and products — Import 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...
Countries reporting
187
Highest
13,247 1000 t
United States
Lowest
0 1000 t
Tonga
Median
20 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Apples and products — Import quantity is currently reported for 187 countries. The highest value is 13,247 1000 t in United States; the lowest is 0 1000 t in Tonga.
The median across all reporting countries is 20 1000 t, and the mean is 176.12 1000 t.
Over the past decade 87 countries rose and 61 fell. The largest increase was in Turkey (up 900.0%), and the largest decrease in Niger (down 100.0%).
Apples and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 13,247 1000 t | 2023 | up 280.3% | rising |
| 2 | Russia | 1,343 1000 t | 2023 | down 44.0% | falling |
| 2 | Russian Federation | 1,343 1000 t | 2023 | down 44.0% | falling |
| 4 | United Kingdom | 1,203 1000 t | 2023 | down 17.7% | flat |
| 4 | United Kingdom of Great Britain and Northern Ireland | 1,203 1000 t | 2023 | down 17.7% | flat |
| 6 | France | 1,049 1000 t | 2023 | up 22.4% | rising |
| 7 | Germany | 962 1000 t | 2023 | down 28.7% | falling |
| 8 | Netherlands (Kingdom of the) | 745 1000 t | 2023 | down 15.8% | rising |
| 9 | Austria | 615 1000 t | 2023 | up 44.0% | rising |
| 10 | China | 513 1000 t | 2023 | up 36.4% | rising |
| 11 | South Africa | 506 1000 t | 2023 | down 5.1% | rising |
| 12 | Canada | 503 1000 t | 2023 | down 3.5% | rising |
| 13 | India | 476 1000 t | 2023 | up 120.4% | rising |
| 14 | Spain | 402 1000 t | 2023 | up 15.2% | rising |
| 15 | Saudi Arabia | 328 1000 t | 2023 | down 17.6% | falling |
| 16 | Poland | 314 1000 t | 2023 | down 13.5% | rising |
| 17 | Mexico | 308 1000 t | 2023 | up 1.0% | rising |
| 18 | Vietnam | 303 1000 t | 2023 | up 269.5% | volatile |
| 18 | Viet Nam | 303 1000 t | 2023 | up 269.5% | volatile |
| 20 | Iraq | 281 1000 t | 2023 | up 430.2% | rising |
| 21 | United Arab Emirates | 277 1000 t | 2023 | up 30.7% | rising |
| 22 | Denmark | 246 1000 t | 2023 | up 26.2% | rising |
| 23 | China, Taiwan Province of | 244 1000 t | 2023 | up 27.1% | rising |
| 24 | Australia and New Zealand | 235 1000 t | 2023 | down 20.6% | falling |
| 25 | Australia | 232 1000 t | 2023 | down 19.7% | falling |
| 26 | Sweden | 221 1000 t | 2023 | down 14.7% | falling |
| 27 | Belgium | 189 1000 t | 2023 | down 44.9% | falling |
| 28 | Turkey | 180 1000 t | 2023 | up 900.0% | volatile |
| 28 | Türkiye | 180 1000 t | 2023 | up 900.0% | volatile |
| 30 | Bangladesh | 168 1000 t | 2023 | up 14.3% | rising |
| 30 | Thailand | 168 1000 t | 2023 | up 7.7% | rising |
| 32 | Kazakhstan | 158 1000 t | 2023 | down 33.1% | falling |
| 33 | China, Hong Kong SAR | 157 1000 t | 2023 | up 12.9% | rising |
| 34 | Brazil | 154 1000 t | 2023 | up 62.1% | rising |
| 35 | Indonesia | 144 1000 t | 2023 | up 5.9% | falling |
| 36 | Afghanistan | 137 1000 t | 2023 | — | volatile |
| 37 | Malaysia | 122 1000 t | 2023 | down 10.3% | flat |
| 37 | Republic of Korea | 122 1000 t | 2023 | up 28.4% | rising |
| 39 | Philippines | 119 1000 t | 2023 | up 17.8% | rising |
| 40 | Norway | 118 1000 t | 2023 | down 31.0% | falling |
| 41 | Egypt | 117 1000 t | 2023 | down 32.0% | falling |
| 41 | Romania | 117 1000 t | 2023 | up 69.6% | rising |
| 43 | Czechia | 105 1000 t | 2023 | down 1.9% | flat |
| 43 | China, mainland | 105 1000 t | 2023 | up 150.0% | rising |
| 45 | Colombia | 104 1000 t | 2023 | up 1.0% | rising |
| 46 | Caribbean | 103 1000 t | 2023 | up 51.5% | rising |
| 47 | Finland | 93 1000 t | 2023 | down 19.8% | falling |
| 48 | Ireland | 91 1000 t | 2023 | down 14.2% | rising |
| 48 | Portugal | 91 1000 t | 2023 | up 30.0% | rising |
| 50 | Nepal | 86 1000 t | 2023 | up 50.9% | rising |
| 51 | Italy | 80 1000 t | 2023 | down 13.0% | rising |
| 52 | Honduras | 79 1000 t | 2023 | up 23.4% | rising |
| 53 | Greece | 70 1000 t | 2023 | up 29.6% | rising |
| 53 | Hungary | 70 1000 t | 2023 | up 34.6% | rising |
| 55 | Nicaragua | 68 1000 t | 2023 | down 34.6% | falling |
| 56 | Israel | 65 1000 t | 2023 | up 30.0% | rising |
| 57 | Bulgaria | 64 1000 t | 2023 | up 82.9% | rising |
| 58 | Belarus | 63 1000 t | 2023 | down 71.0% | volatile |
| 59 | Slovakia | 62 1000 t | 2023 | up 47.6% | flat |
| 60 | Democratic People's Republic of Korea | 60 1000 t | 2018 | up 900.0% | volatile |
| 61 | Croatia | 59 1000 t | 2023 | up 68.6% | rising |
| 62 | Ecuador | 57 1000 t | 2023 | down 5.0% | rising |
| 63 | Nigeria | 53 1000 t | 2023 | up 657.1% | volatile |
| 64 | Guatemala | 51 1000 t | 2023 | up 82.1% | rising |
| 65 | Libya | 50 1000 t | 2023 | down 30.6% | falling |
| 65 | Panama | 50 1000 t | 2023 | up 4.2% | rising |
| 67 | Dominican Republic | 44 1000 t | 2023 | up 214.3% | volatile |
| 67 | Peru | 44 1000 t | 2023 | unchanged | flat |
| 69 | Kuwait | 43 1000 t | 2023 | down 8.5% | rising |
| 70 | Bosnia and Herzegovina | 40 1000 t | 2023 | up 48.1% | rising |
| 71 | Slovenia | 39 1000 t | 2023 | down 22.0% | rising |
| 72 | Jordan | 35 1000 t | 2023 | down 28.6% | falling |
| 72 | Lithuania | 35 1000 t | 2023 | down 46.2% | volatile |
| 72 | Namibia | 35 1000 t | 2023 | down 36.4% | rising |
| 75 | Syria | 32 1000 t | 2023 | down 25.6% | rising |
| 75 | Syrian Arab Republic | 32 1000 t | 2023 | down 25.6% | rising |
| 77 | Uzbekistan | 31 1000 t | 2023 | — | volatile |
| 78 | Latvia | 28 1000 t | 2023 | up 40.0% | rising |
| 78 | Mongolia | 28 1000 t | 2023 | up 27.3% | rising |
| 78 | Oman | 28 1000 t | 2023 | down 15.2% | volatile |
| 78 | Serbia | 28 1000 t | 2023 | down 22.2% | falling |
| 82 | Cyprus | 26 1000 t | 2023 | up 44.4% | rising |
| 82 | El Salvador | 26 1000 t | 2023 | up 30.0% | rising |
| 84 | Costa Rica | 25 1000 t | 2023 | down 28.6% | falling |
| 84 | Morocco | 25 1000 t | 2023 | up 92.3% | rising |
| 84 | Pakistan | 25 1000 t | 2023 | down 54.5% | volatile |
| 84 | Senegal | 25 1000 t | 2023 | up 150.0% | rising |
| 88 | Venezuela (Bolivarian Republic of) | 24 1000 t | 2023 | up 71.4% | volatile |
| 89 | Maldives | 23 1000 t | 2023 | up 76.9% | rising |
| 89 | Qatar | 23 1000 t | 2023 | — | falling |
| 91 | Botswana | 22 1000 t | 2023 | up 100.0% | rising |
| 92 | Estonia | 21 1000 t | 2023 | up 61.5% | rising |
| 92 | Bolivia (Plurinational State of) | 21 1000 t | 2023 | down 30.0% | rising |
| 94 | Ghana | 20 1000 t | 2023 | down 55.6% | flat |
| 95 | Bahrain | 19 1000 t | 2023 | — | falling |
| 96 | Kenya | 18 1000 t | 2023 | up 50.0% | rising |
| 97 | Zambia | 17 1000 t | 2023 | up 54.5% | volatile |
| 97 | Zimbabwe | 17 1000 t | 2023 | up 30.8% | falling |
| 99 | Luxembourg | 16 1000 t | 2023 | up 6.7% | rising |
| 99 | Paraguay | 16 1000 t | 2023 | up 128.6% | rising |
| 99 | Yemen | 16 1000 t | 2023 | unchanged | volatile |
| 99 | Melanesia | 16 1000 t | 2023 | down 5.9% | flat |
| 103 | Albania | 15 1000 t | 2023 | up 66.7% | falling |
| 103 | Switzerland | 15 1000 t | 2023 | down 25.0% | rising |
| 105 | Cote d'Ivoire | 14 1000 t | 2023 | up 133.3% | rising |
| 105 | Montenegro | 14 1000 t | 2023 | up 16.7% | volatile |
| 105 | Côte d'Ivoire | 14 1000 t | 2023 | up 133.3% | rising |
| 108 | Jamaica | 13 1000 t | 2023 | up 116.7% | rising |
| 108 | Myanmar | 13 1000 t | 2023 | up 160.0% | volatile |
| 108 | Mauritius | 13 1000 t | 2023 | down 43.5% | falling |
| 108 | Ukraine | 13 1000 t | 2023 | down 80.0% | volatile |
| 112 | Trinidad and Tobago | 12 1000 t | 2023 | down 40.0% | falling |
| 113 | Cameroon | 11 1000 t | 2023 | up 57.1% | rising |
| 113 | Cuba | 11 1000 t | 2019 | up 83.3% | rising |
| 113 | Iceland | 11 1000 t | 2023 | unchanged | falling |
| 113 | Kyrgyzstan | 11 1000 t | 2023 | down 26.7% | rising |
| 117 | Angola | 10 1000 t | 2023 | down 54.5% | volatile |
| 117 | Chile | 10 1000 t | 2023 | up 233.3% | volatile |
| 119 | Fiji | 8 1000 t | 2023 | up 60.0% | rising |
| 119 | Mauritania | 8 1000 t | 2023 | up 100.0% | rising |
| 119 | Eswatini | 8 1000 t | 2023 | down 11.1% | rising |
| 119 | Uganda | 8 1000 t | 2023 | up 166.7% | rising |
| 119 | Democratic Republic of the Congo | 8 1000 t | 2023 | up 100.0% | volatile |
| 124 | Bahamas | 7 1000 t | 2023 | down 58.8% | falling |
| 124 | Georgia | 7 1000 t | 2023 | unchanged | rising |
| 124 | Guinea | 7 1000 t | 2023 | up 600.0% | volatile |
| 124 | Cambodia | 7 1000 t | 2023 | up 133.3% | rising |
| 124 | Laos | 7 1000 t | 2023 | up 600.0% | volatile |
| 124 | North Macedonia | 7 1000 t | 2023 | up 133.3% | rising |
| 124 | Turkmenistan | 7 1000 t | 2023 | up 600.0% | volatile |
| 124 | Lao People's Democratic Republic | 7 1000 t | 2023 | up 600.0% | volatile |
| 124 | China, Macao SAR | 7 1000 t | 2023 | up 75.0% | rising |
| 133 | Sri Lanka | 6 1000 t | 2023 | down 71.4% | falling |
| 133 | Malta | 6 1000 t | 2023 | up 50.0% | rising |
| 133 | Cabo Verde | 6 1000 t | 2023 | unchanged | falling |
| 133 | United Republic of Tanzania | 6 1000 t | 2023 | down 14.3% | flat |
| 137 | Armenia | 5 1000 t | 2023 | up 400.0% | rising |
| 137 | Algeria | 5 1000 t | 2023 | down 95.7% | volatile |
| 137 | Mozambique | 5 1000 t | 2023 | up 150.0% | volatile |
| 137 | Uruguay | 5 1000 t | 2023 | up 25.0% | rising |
| 137 | Polynesia | 5 1000 t | 2023 | unchanged | rising |
| 142 | Burkina Faso | 4 1000 t | 2023 | up 100.0% | rising |
| 142 | Barbados | 4 1000 t | 2023 | unchanged | rising |
| 142 | Saint Kitts and Nevis | 4 1000 t | 2023 | — | volatile |
| 142 | Saint Lucia | 4 1000 t | 2023 | — | volatile |
| 142 | Lesotho | 4 1000 t | 2023 | up 33.3% | falling |
| 142 | New Caledonia | 4 1000 t | 2023 | down 50.0% | falling |
| 142 | New Zealand | 4 1000 t | 2023 | down 50.0% | falling |
| 149 | Comoros | 3 1000 t | 2023 | — | volatile |
| 149 | Ethiopia | 3 1000 t | 2023 | unchanged | rising |
| 149 | Gabon | 3 1000 t | 2023 | down 40.0% | falling |
| 149 | Moldova | 3 1000 t | 2023 | up 50.0% | volatile |
| 149 | Papua New Guinea | 3 1000 t | 2023 | down 25.0% | rising |
| 149 | French Polynesia | 3 1000 t | 2023 | down 25.0% | falling |
| 149 | Tajikistan | 3 1000 t | 2023 | — | volatile |
| 149 | Republic of Moldova | 3 1000 t | 2023 | up 50.0% | volatile |
| 157 | Argentina | 2 1000 t | 2023 | — | volatile |
| 157 | Antigua and Barbuda | 2 1000 t | 2023 | unchanged | rising |
| 157 | Congo | 2 1000 t | 2023 | unchanged | rising |
| 157 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 157 | Gambia | 2 1000 t | 2023 | — | volatile |
| 157 | Guyana | 2 1000 t | 2023 | up 100.0% | rising |
| 157 | Lebanon | 2 1000 t | 2023 | down 75.0% | falling |
| 157 | Malawi | 2 1000 t | 2023 | up 100.0% | rising |
| 157 | Tunisia | 2 1000 t | 2023 | down 50.0% | volatile |
| 157 | Saint Vincent and the Grenadines | 2 1000 t | 2023 | up 100.0% | rising |
| 167 | Azerbaijan | 1 1000 t | 2023 | unchanged | volatile |
| 167 | Belize | 1 1000 t | 2023 | — | volatile |
| 167 | Bhutan | 1 1000 t | 2023 | — | flat |
| 167 | Guinea-Bissau | 1 1000 t | 2023 | — | volatile |
| 167 | Grenada | 1 1000 t | 2023 | — | volatile |
| 167 | Haiti | 1 1000 t | 2023 | unchanged | flat |
| 167 | Liberia | 1 1000 t | 2023 | — | volatile |
| 167 | Madagascar | 1 1000 t | 2023 | unchanged | rising |
| 167 | Rwanda | 1 1000 t | 2023 | unchanged | rising |
| 167 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 167 | Seychelles | 1 1000 t | 2023 | down 50.0% | falling |
| 167 | East Timor | 1 1000 t | 2023 | unchanged | rising |
| 167 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 167 | Samoa | 1 1000 t | 2023 | unchanged | volatile |
| 167 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 167 | Timor-Leste | 1 1000 t | 2023 | unchanged | rising |
| 167 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 50.0% | volatile |
| 184 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 184 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 184 | Suriname | 0 1000 t | 2023 | — | volatile |
| 184 | Tonga | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 29,660 1000 t
- Americas 14,900 1000 t
- Northern America 13,750 1000 t
- United States of America 13,247 1000 t
- Europe 8,661 1000 t
- European Union (27) 5,814 1000 t
- Asia 4,768 1000 t
- Western Europe 3,591 1000 t
- Eastern Europe 2,154 1000 t
- Northern Europe 2,066 1000 t
- Western Asia 1,379 1000 t
- Eastern Asia 1,370 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,228 1000 t
- Africa 1,073 1000 t
- Southern Asia 924 1000 t
- South-Eastern Asia 885 1000 t
- Southern Europe 850 1000 t
- Land Locked Developing Countries (LLDCs) 623 1000 t
- Central America 608 1000 t
- Least Developed Countries (LDCs) 582 1000 t
- Southern Africa 576 1000 t
- Low Income Food Deficit Countries (LIFDCs) 550 1000 t
- South America 439 1000 t
- Oceania 257 1000 t
- Central Asia 210 1000 t
- Northern Africa 200 1000 t
- Small island developing States (SIDS) 178 1000 t
- Western Africa 149 1000 t
- Eastern Africa 111 1000 t
- Middle Africa 38 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.