Alcohol, Non-Food — 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
178
Highest
2,410 1000 t
Canada
Lowest
0 1000 t
China, Macao SAR
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,803
What the numbers show
Alcohol, Non-Food — Import quantity is currently reported for 178 countries. The highest value is 2,410 1000 t in Canada; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 2 1000 t, and the mean is 75.96 1000 t.
Over the past decade 58 countries rose and 38 fell. The largest increase was in Democratic Republic of the Congo (up 2,400.0%), and the largest decrease in Armenia (down 100.0%).
Alcohol, Non-Food — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 2,410 1000 t | 2023 | up 115.4% | rising |
| 2 | Netherlands (Kingdom of the) | 1,434 1000 t | 2023 | up 123.4% | rising |
| 3 | Germany | 1,178 1000 t | 2023 | up 10.8% | rising |
| 4 | Republic of Korea | 1,131 1000 t | 2023 | up 421.2% | volatile |
| 5 | United Kingdom of Great Britain and Northern Ireland | 999 1000 t | 2023 | up 46.9% | rising |
| 6 | France | 814 1000 t | 2023 | up 367.8% | volatile |
| 7 | Belgium | 574 1000 t | 2023 | up 250.0% | volatile |
| 8 | Philippines | 468 1000 t | 2023 | up 77.3% | rising |
| 9 | Mexico | 344 1000 t | 2023 | up 164.6% | rising |
| 10 | Sweden | 318 1000 t | 2023 | up 40.7% | rising |
| 11 | India | 273 1000 t | 2023 | up 702.9% | volatile |
| 12 | Spain | 272 1000 t | 2023 | up 169.3% | rising |
| 13 | Colombia | 251 1000 t | 2023 | up 126.1% | volatile |
| 14 | Italy | 246 1000 t | 2023 | up 7.0% | rising |
| 15 | Peru | 188 1000 t | 2023 | up 102.2% | rising |
| 16 | Denmark | 184 1000 t | 2023 | up 41.5% | rising |
| 17 | Romania | 150 1000 t | 2023 | up 158.6% | rising |
| 18 | Poland | 133 1000 t | 2023 | up 41.5% | rising |
| 19 | United Arab Emirates | 124 1000 t | 2023 | down 48.1% | volatile |
| 20 | Switzerland | 118 1000 t | 2023 | up 187.8% | rising |
| 21 | Nigeria | 117 1000 t | 2023 | down 25.5% | rising |
| 22 | Caribbean | 104 1000 t | 2023 | down 65.1% | volatile |
| 23 | Saudi Arabia | 102 1000 t | 2023 | up 500.0% | volatile |
| 24 | Greece | 85 1000 t | 2023 | up 240.0% | volatile |
| 25 | Türkiye | 84 1000 t | 2023 | up 25.4% | rising |
| 26 | Lithuania | 81 1000 t | 2023 | up 478.6% | volatile |
| 27 | Jamaica | 79 1000 t | 2023 | down 73.0% | volatile |
| 28 | Czechia | 77 1000 t | 2023 | up 541.7% | rising |
| 29 | Finland | 75 1000 t | 2023 | up 226.1% | volatile |
| 30 | Austria | 71 1000 t | 2023 | up 129.0% | rising |
| 31 | Portugal | 58 1000 t | 2023 | up 427.3% | rising |
| 32 | Norway | 57 1000 t | 2023 | up 29.5% | rising |
| 33 | Angola | 56 1000 t | 2023 | up 51.4% | rising |
| 33 | Cameroon | 56 1000 t | 2023 | up 133.3% | rising |
| 35 | Ireland | 53 1000 t | 2023 | up 178.9% | rising |
| 36 | Brazil | 47 1000 t | 2023 | down 54.8% | volatile |
| 37 | Kenya | 46 1000 t | 2023 | up 1,433.3% | volatile |
| 38 | China | 44 1000 t | 2023 | down 48.2% | volatile |
| 39 | China, Taiwan Province of | 43 1000 t | 2023 | down 48.8% | falling |
| 40 | Ghana | 40 1000 t | 2023 | up 5.3% | rising |
| 41 | Chile | 34 1000 t | 2023 | up 21.4% | rising |
| 42 | Hungary | 30 1000 t | 2023 | up 3.4% | falling |
| 42 | United Republic of Tanzania | 30 1000 t | 2023 | up 20.0% | falling |
| 44 | Democratic Republic of the Congo | 25 1000 t | 2023 | up 2,400.0% | volatile |
| 44 | Côte d'Ivoire | 25 1000 t | 2023 | up 316.7% | volatile |
| 44 | Democratic People's Republic of Korea | 25 1000 t | 2018 | — | rising |
| 47 | Ecuador | 19 1000 t | 2023 | up 90.0% | volatile |
| 48 | Dominican Republic | 18 1000 t | 2023 | up 157.1% | rising |
| 48 | Thailand | 18 1000 t | 2023 | down 14.3% | rising |
| 50 | Argentina | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 50 | Georgia | 17 1000 t | 2023 | up 183.3% | volatile |
| 52 | Venezuela (Bolivarian Republic of) | 15 1000 t | 2023 | — | volatile |
| 52 | Viet Nam | 15 1000 t | 2023 | — | volatile |
| 54 | Slovakia | 14 1000 t | 2023 | up 40.0% | rising |
| 55 | Rwanda | 12 1000 t | 2023 | up 500.0% | volatile |
| 56 | Israel | 10 1000 t | 2023 | down 41.2% | falling |
| 56 | Mozambique | 10 1000 t | 2023 | down 79.6% | volatile |
| 56 | Malaysia | 10 1000 t | 2023 | down 16.7% | volatile |
| 56 | Serbia | 10 1000 t | 2023 | up 900.0% | volatile |
| 56 | Australia and New Zealand | 10 1000 t | 2023 | down 28.6% | volatile |
| 61 | Iraq | 9 1000 t | 2023 | up 800.0% | volatile |
| 61 | Madagascar | 9 1000 t | 2023 | unchanged | rising |
| 61 | El Salvador | 9 1000 t | 2023 | down 80.0% | volatile |
| 64 | Bulgaria | 8 1000 t | 2023 | up 60.0% | volatile |
| 64 | Croatia | 8 1000 t | 2023 | up 166.7% | volatile |
| 64 | Latvia | 8 1000 t | 2023 | down 50.0% | falling |
| 67 | Egypt | 6 1000 t | 2023 | up 500.0% | volatile |
| 67 | Honduras | 6 1000 t | 2023 | up 500.0% | volatile |
| 67 | Liberia | 6 1000 t | 2023 | up 50.0% | rising |
| 67 | New Zealand | 6 1000 t | 2023 | unchanged | volatile |
| 71 | Congo | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Estonia | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Jordan | 5 1000 t | 2023 | down 28.6% | volatile |
| 71 | Slovenia | 5 1000 t | 2023 | unchanged | rising |
| 71 | Uruguay | 5 1000 t | 2023 | down 16.7% | falling |
| 71 | Zambia | 5 1000 t | 2023 | down 16.7% | volatile |
| 77 | Haiti | 4 1000 t | 2023 | up 300.0% | volatile |
| 77 | Indonesia | 4 1000 t | 2023 | — | volatile |
| 79 | Australia | 3 1000 t | 2023 | down 62.5% | volatile |
| 79 | Burkina Faso | 3 1000 t | 2023 | down 50.0% | falling |
| 79 | Kazakhstan | 3 1000 t | 2023 | — | volatile |
| 79 | Luxembourg | 3 1000 t | 2023 | up 200.0% | rising |
| 79 | Trinidad and Tobago | 3 1000 t | 2023 | down 25.0% | volatile |
| 84 | Albania | 2 1000 t | 2023 | down 50.0% | volatile |
| 84 | Azerbaijan | 2 1000 t | 2023 | — | rising |
| 84 | Algeria | 2 1000 t | 2023 | down 33.3% | volatile |
| 84 | Guinea | 2 1000 t | 2023 | down 71.4% | falling |
| 84 | Iceland | 2 1000 t | 2023 | up 100.0% | volatile |
| 84 | Lebanon | 2 1000 t | 2023 | down 33.3% | rising |
| 84 | Nicaragua | 2 1000 t | 2023 | — | volatile |
| 84 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 84 | Senegal | 2 1000 t | 2023 | — | volatile |
| 84 | Sierra Leone | 2 1000 t | 2023 | down 75.0% | rising |
| 84 | Uganda | 2 1000 t | 2023 | down 90.9% | volatile |
| 84 | Zimbabwe | 2 1000 t | 2023 | — | volatile |
| 84 | Melanesia | 2 1000 t | 2023 | up 100.0% | volatile |
| 97 | Costa Rica | 1 1000 t | 2023 | down 97.8% | volatile |
| 97 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 97 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 97 | Gabon | 1 1000 t | 2023 | unchanged | volatile |
| 97 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | falling |
| 97 | Guyana | 1 1000 t | 2023 | — | volatile |
| 97 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 97 | Morocco | 1 1000 t | 2023 | unchanged | volatile |
| 97 | North Macedonia | 1 1000 t | 2023 | unchanged | volatile |
| 97 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 97 | Malawi | 1 1000 t | 2023 | down 66.7% | volatile |
| 97 | Nepal | 1 1000 t | 2023 | down 87.5% | falling |
| 97 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 97 | Panama | 1 1000 t | 2023 | unchanged | volatile |
| 97 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 97 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 97 | Yemen | 1 1000 t | 2023 | — | volatile |
| 97 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | flat |
| 97 | Syrian Arab Republic | 1 1000 t | 2023 | down 66.7% | volatile |
| 116 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 116 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 116 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 116 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 116 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 116 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 116 | Belarus | 0 1000 t | 2023 | — | volatile |
| 116 | Belize | 0 1000 t | 2023 | — | flat |
| 116 | Barbados | 0 1000 t | 2023 | — | flat |
| 116 | Bhutan | 0 1000 t | 2023 | — | flat |
| 116 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Comoros | 0 1000 t | 2023 | — | flat |
| 116 | Cuba | 0 1000 t | 2019 | — | flat |
| 116 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 116 | Fiji | 0 1000 t | 2023 | — | flat |
| 116 | Gambia | 0 1000 t | 2023 | — | flat |
| 116 | Grenada | 0 1000 t | 2023 | — | flat |
| 116 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 116 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 116 | Cambodia | 0 1000 t | 2023 | — | flat |
| 116 | Kiribati | 0 1000 t | 2023 | — | flat |
| 116 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 116 | Libya | 0 1000 t | 2023 | — | volatile |
| 116 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 116 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Lesotho | 0 1000 t | 2023 | — | flat |
| 116 | Maldives | 0 1000 t | 2023 | — | flat |
| 116 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 116 | Malta | 0 1000 t | 2023 | — | flat |
| 116 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 116 | Mongolia | 0 1000 t | 2022 | — | flat |
| 116 | Mauritania | 0 1000 t | 2023 | — | flat |
| 116 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 116 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 116 | Niger | 0 1000 t | 2023 | — | flat |
| 116 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 116 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 116 | Qatar | 0 1000 t | 2023 | — | volatile |
| 116 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 116 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 116 | Suriname | 0 1000 t | 2023 | — | flat |
| 116 | Eswatini | 0 1000 t | 2023 | — | flat |
| 116 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 116 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Tunisia | 0 1000 t | 2023 | down 100.0% | falling |
| 116 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 116 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 116 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 116 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 116 | Samoa | 0 1000 t | 2023 | — | flat |
| 116 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 116 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 116 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 116 | Polynesia | 0 1000 t | 2023 | — | flat |
| 116 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 116 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 116 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 116 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 116 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 116 | China, Macao SAR | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 14,741 1000 t
- Europe 7,074 1000 t
- European Union (27) 5,885 1000 t
- Western Europe 4,192 1000 t
- Americas 4,014 1000 t
- Asia 3,141 1000 t
- Northern America 2,968 1000 t
- Eastern Asia 1,987 1000 t
- Northern Europe 1,782 1000 t
- Southern Europe 688 1000 t
- Net Food Importing Developing Countries (NFIDCs) 608 1000 t
- South America 578 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.