Beverages, Fermented — 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...
What the numbers show
Beverages, Fermented — Import quantity is currently reported for 177 countries. The highest value is 231 1000 t in United Kingdom of Great Britain and Northern Ireland; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 0 1000 t, and the mean is 5.13 1000 t.
Over the past decade 36 countries rose and 29 fell. The largest increase was in Mozambique (up 1,500.0%), and the largest decrease in Brazil (down 100.0%).
Beverages, Fermented — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Kingdom of Great Britain and Northern Ireland | 231 1000 t | 2023 | up 28.3% | rising |
| 2 | Botswana | 34 1000 t | 2023 | up 209.1% | volatile |
| 2 | Germany | 34 1000 t | 2023 | down 17.1% | flat |
| 4 | China | 33 1000 t | 2023 | up 120.0% | rising |
| 4 | Czechia | 33 1000 t | 2023 | up 65.0% | rising |
| 6 | Australia and New Zealand | 27 1000 t | 2023 | down 27.0% | flat |
| 7 | Spain | 25 1000 t | 2023 | up 108.3% | rising |
| 8 | Australia | 24 1000 t | 2023 | down 33.3% | falling |
| 9 | Russian Federation | 21 1000 t | 2023 | down 65.6% | flat |
| 9 | Netherlands (Kingdom of the) | 21 1000 t | 2023 | up 90.9% | rising |
| 11 | Canada | 19 1000 t | 2023 | down 13.6% | rising |
| 11 | Republic of Korea | 19 1000 t | 2023 | up 137.5% | volatile |
| 13 | Italy | 17 1000 t | 2023 | up 30.8% | rising |
| 13 | Latvia | 17 1000 t | 2023 | up 70.0% | rising |
| 15 | Mozambique | 16 1000 t | 2023 | up 1,500.0% | volatile |
| 16 | Lithuania | 15 1000 t | 2023 | down 54.5% | falling |
| 16 | Namibia | 15 1000 t | 2023 | down 69.4% | volatile |
| 18 | China, mainland | 14 1000 t | 2023 | up 250.0% | volatile |
| 19 | Austria | 13 1000 t | 2023 | up 116.7% | rising |
| 19 | Norway | 13 1000 t | 2023 | up 116.7% | rising |
| 19 | Romania | 13 1000 t | 2023 | up 333.3% | volatile |
| 22 | France | 12 1000 t | 2023 | down 29.4% | flat |
| 22 | Ireland | 12 1000 t | 2023 | up 100.0% | rising |
| 22 | Sweden | 12 1000 t | 2023 | down 29.4% | falling |
| 22 | Caribbean | 12 1000 t | 2023 | up 200.0% | rising |
| 26 | Hungary | 11 1000 t | 2023 | down 26.7% | rising |
| 26 | China, Hong Kong SAR | 11 1000 t | 2023 | up 37.5% | rising |
| 28 | Lesotho | 10 1000 t | 2023 | up 150.0% | volatile |
| 28 | Portugal | 10 1000 t | 2023 | up 100.0% | rising |
| 28 | Ukraine | 10 1000 t | 2023 | up 400.0% | volatile |
| 31 | Slovakia | 9 1000 t | 2023 | down 62.5% | falling |
| 32 | Denmark | 8 1000 t | 2023 | down 42.9% | falling |
| 32 | Thailand | 8 1000 t | 2023 | up 166.7% | rising |
| 34 | Belgium | 7 1000 t | 2023 | down 12.5% | rising |
| 34 | Croatia | 7 1000 t | 2023 | up 16.7% | flat |
| 36 | Estonia | 6 1000 t | 2023 | down 70.0% | falling |
| 36 | Finland | 6 1000 t | 2023 | down 45.5% | falling |
| 36 | Paraguay | 6 1000 t | 2023 | up 50.0% | rising |
| 36 | Eswatini | 6 1000 t | 2023 | unchanged | rising |
| 36 | China, Taiwan Province of | 6 1000 t | 2023 | up 200.0% | rising |
| 41 | Bosnia and Herzegovina | 4 1000 t | 2023 | down 20.0% | flat |
| 41 | Ghana | 4 1000 t | 2023 | up 33.3% | rising |
| 41 | Greece | 4 1000 t | 2023 | up 100.0% | rising |
| 41 | Kazakhstan | 4 1000 t | 2023 | up 300.0% | volatile |
| 45 | Bulgaria | 3 1000 t | 2023 | up 200.0% | rising |
| 45 | Switzerland | 3 1000 t | 2023 | down 57.1% | falling |
| 45 | Cyprus | 3 1000 t | 2023 | up 200.0% | rising |
| 45 | Dominican Republic | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | Guyana | 3 1000 t | 2023 | — | volatile |
| 45 | Mexico | 3 1000 t | 2023 | down 50.0% | volatile |
| 45 | New Zealand | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | Poland | 3 1000 t | 2023 | up 50.0% | volatile |
| 45 | Slovenia | 3 1000 t | 2023 | unchanged | rising |
| 45 | Trinidad and Tobago | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | United Republic of Tanzania | 3 1000 t | 2023 | up 200.0% | volatile |
| 56 | United Arab Emirates | 2 1000 t | 2023 | unchanged | rising |
| 56 | Belarus | 2 1000 t | 2023 | unchanged | volatile |
| 56 | Chile | 2 1000 t | 2023 | — | volatile |
| 56 | Israel | 2 1000 t | 2023 | up 100.0% | volatile |
| 56 | Malaysia | 2 1000 t | 2023 | unchanged | rising |
| 56 | Zimbabwe | 2 1000 t | 2023 | down 50.0% | volatile |
| 56 | Democratic Republic of the Congo | 2 1000 t | 2023 | — | volatile |
| 56 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | volatile |
| 64 | Angola | 1 1000 t | 2023 | down 93.8% | volatile |
| 64 | Antigua and Barbuda | 1 1000 t | 2023 | — | volatile |
| 64 | Burkina Faso | 1 1000 t | 2023 | down 50.0% | volatile |
| 64 | Barbados | 1 1000 t | 2023 | — | volatile |
| 64 | Colombia | 1 1000 t | 2023 | — | volatile |
| 64 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 64 | Guatemala | 1 1000 t | 2023 | unchanged | volatile |
| 64 | Haiti | 1 1000 t | 2023 | — | volatile |
| 64 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 64 | Malta | 1 1000 t | 2023 | — | volatile |
| 64 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 64 | Montenegro | 1 1000 t | 2023 | unchanged | rising |
| 64 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 64 | Serbia | 1 1000 t | 2023 | — | volatile |
| 64 | Uganda | 1 1000 t | 2023 | — | volatile |
| 64 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 64 | Zambia | 1 1000 t | 2023 | down 75.0% | volatile |
| 64 | Melanesia | 1 1000 t | 2023 | unchanged | volatile |
| 64 | Viet Nam | 1 1000 t | 2023 | down 50.0% | falling |
| 64 | China, Macao SAR | 1 1000 t | 2023 | unchanged | rising |
| 84 | Afghanistan | 0 1000 t | 2021 | — | volatile |
| 84 | Albania | 0 1000 t | 2023 | — | flat |
| 84 | Argentina | 0 1000 t | 2023 | — | flat |
| 84 | Armenia | 0 1000 t | 2023 | — | flat |
| 84 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 84 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 84 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 84 | Bahamas | 0 1000 t | 2023 | — | flat |
| 84 | Belize | 0 1000 t | 2023 | — | volatile |
| 84 | Brazil | 0 1000 t | 2023 | down 100.0% | falling |
| 84 | Cameroon | 0 1000 t | 2023 | — | flat |
| 84 | Congo | 0 1000 t | 2023 | — | flat |
| 84 | Comoros | 0 1000 t | 2023 | — | flat |
| 84 | Cuba | 0 1000 t | 2019 | down 100.0% | falling |
| 84 | Djibouti | 0 1000 t | 2023 | — | flat |
| 84 | Algeria | 0 1000 t | 2023 | — | flat |
| 84 | Ecuador | 0 1000 t | 2023 | — | flat |
| 84 | Egypt | 0 1000 t | 2022 | — | flat |
| 84 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 84 | Fiji | 0 1000 t | 2023 | — | flat |
| 84 | Gabon | 0 1000 t | 2023 | — | flat |
| 84 | Georgia | 0 1000 t | 2023 | — | flat |
| 84 | Guinea | 0 1000 t | 2023 | — | flat |
| 84 | Gambia | 0 1000 t | 2023 | — | flat |
| 84 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 84 | Grenada | 0 1000 t | 2023 | — | flat |
| 84 | Honduras | 0 1000 t | 2023 | — | flat |
| 84 | Indonesia | 0 1000 t | 2023 | — | flat |
| 84 | India | 0 1000 t | 2023 | — | flat |
| 84 | Iraq | 0 1000 t | 2023 | — | flat |
| 84 | Iceland | 0 1000 t | 2023 | — | volatile |
| 84 | Jamaica | 0 1000 t | 2023 | — | flat |
| 84 | Jordan | 0 1000 t | 2023 | — | flat |
| 84 | Kenya | 0 1000 t | 2023 | — | volatile |
| 84 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 84 | Cambodia | 0 1000 t | 2023 | — | flat |
| 84 | Kiribati | 0 1000 t | 2023 | — | flat |
| 84 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 84 | Lebanon | 0 1000 t | 2023 | — | flat |
| 84 | Liberia | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | Libya | 0 1000 t | 2023 | — | volatile |
| 84 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 84 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 84 | Morocco | 0 1000 t | 2023 | — | flat |
| 84 | Madagascar | 0 1000 t | 2023 | — | flat |
| 84 | Maldives | 0 1000 t | 2023 | — | flat |
| 84 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 84 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 84 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 84 | Mauritania | 0 1000 t | 2022 | — | flat |
| 84 | Mauritius | 0 1000 t | 2023 | — | flat |
| 84 | Malawi | 0 1000 t | 2023 | — | volatile |
| 84 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 84 | Niger | 0 1000 t | 2023 | — | flat |
| 84 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 84 | Nepal | 0 1000 t | 2023 | — | flat |
| 84 | Nauru | 0 1000 t | 2023 | — | flat |
| 84 | Oman | 0 1000 t | 2023 | — | volatile |
| 84 | Pakistan | 0 1000 t | 2023 | — | flat |
| 84 | Panama | 0 1000 t | 2023 | — | volatile |
| 84 | Peru | 0 1000 t | 2023 | — | flat |
| 84 | Philippines | 0 1000 t | 2023 | — | volatile |
| 84 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 84 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 84 | Saudi Arabia | 0 1000 t | 2022 | — | flat |
| 84 | Senegal | 0 1000 t | 2023 | — | flat |
| 84 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 84 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | El Salvador | 0 1000 t | 2023 | — | flat |
| 84 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 84 | Suriname | 0 1000 t | 2023 | — | flat |
| 84 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 84 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 84 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 84 | Tonga | 0 1000 t | 2023 | — | flat |
| 84 | Tunisia | 0 1000 t | 2023 | — | flat |
| 84 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 84 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 84 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 84 | Samoa | 0 1000 t | 2023 | — | flat |
| 84 | Yemen | 0 1000 t | 2020 | — | flat |
| 84 | Micronesia | 0 1000 t | 2023 | — | flat |
| 84 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 84 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 84 | Polynesia | 0 1000 t | 2023 | — | flat |
| 84 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 84 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 84 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 84 | Syrian Arab Republic | 0 1000 t | 2022 | — | flat |
| 84 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 84 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 84 | Democratic People's Republic of Korea | 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 1,070 1000 t
- Europe 588 1000 t
- Northern Europe 320 1000 t
- European Union (27) 303 1000 t
- Americas 197 1000 t
- Northern America 165 1000 t
- United States of America 146 1000 t
- Asia 145 1000 t
- Eastern Asia 120 1000 t
- Net Food Importing Developing Countries (NFIDCs) 115 1000 t
- Africa 112 1000 t
- Eastern Europe 104 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.