Beverages, Alcoholic — 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
Beverages, Alcoholic — Export quantity is currently reported for 170 countries. The highest value is 1,053 1000 t in United Kingdom of Great Britain and Northern Ireland; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 2 1000 t, and the mean is 32.55 1000 t.
Over the past decade 55 countries rose and 39 fell. The largest increase was in Romania (up 1,100.0%), and the largest decrease in Burkina Faso (down 100.0%).
Beverages, Alcoholic — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Kingdom of Great Britain and Northern Ireland | 1,053 1000 t | 2023 | up 2.5% | rising |
| 2 | Mexico | 453 1000 t | 2023 | up 141.0% | rising |
| 3 | Italy | 409 1000 t | 2023 | up 71.1% | rising |
| 4 | France | 404 1000 t | 2023 | up 3.3% | flat |
| 5 | Netherlands (Kingdom of the) | 286 1000 t | 2023 | up 57.1% | rising |
| 6 | Germany | 282 1000 t | 2023 | up 14.6% | rising |
| 7 | Spain | 255 1000 t | 2023 | up 61.4% | rising |
| 8 | Ireland | 184 1000 t | 2023 | up 48.4% | rising |
| 9 | Canada | 166 1000 t | 2023 | down 1.8% | rising |
| 10 | Belgium | 157 1000 t | 2023 | up 282.9% | volatile |
| 11 | Armenia | 115 1000 t | 2023 | up 144.7% | rising |
| 12 | Caribbean | 110 1000 t | 2023 | up 3.8% | rising |
| 13 | Sweden | 105 1000 t | 2023 | down 8.7% | falling |
| 14 | Austria | 97 1000 t | 2023 | up 781.8% | volatile |
| 15 | India | 92 1000 t | 2023 | up 84.0% | rising |
| 16 | Republic of Korea | 88 1000 t | 2023 | down 4.3% | rising |
| 17 | Latvia | 86 1000 t | 2023 | up 3.6% | rising |
| 18 | Poland | 84 1000 t | 2023 | up 42.4% | rising |
| 19 | Finland | 53 1000 t | 2023 | up 10.4% | rising |
| 20 | Australia and New Zealand | 52 1000 t | 2023 | up 2.0% | rising |
| 21 | Georgia | 51 1000 t | 2023 | up 168.4% | rising |
| 22 | China | 47 1000 t | 2023 | down 19.0% | falling |
| 22 | Dominican Republic | 47 1000 t | 2023 | up 62.1% | rising |
| 24 | United Arab Emirates | 45 1000 t | 2023 | up 350.0% | volatile |
| 24 | Ukraine | 45 1000 t | 2023 | down 59.1% | falling |
| 26 | Australia | 39 1000 t | 2023 | down 17.0% | rising |
| 27 | Brazil | 37 1000 t | 2023 | up 60.9% | rising |
| 28 | Greece | 36 1000 t | 2023 | up 9.1% | rising |
| 28 | China, mainland | 36 1000 t | 2023 | up 24.1% | falling |
| 30 | Cuba | 26 1000 t | 2019 | down 13.3% | falling |
| 30 | Russian Federation | 26 1000 t | 2023 | down 81.3% | falling |
| 32 | Czechia | 25 1000 t | 2023 | down 16.7% | rising |
| 32 | Guatemala | 25 1000 t | 2023 | up 66.7% | rising |
| 32 | Lithuania | 25 1000 t | 2023 | up 108.3% | rising |
| 35 | Costa Rica | 24 1000 t | 2023 | up 100.0% | rising |
| 36 | Republic of Moldova | 23 1000 t | 2023 | down 11.5% | falling |
| 37 | Bulgaria | 21 1000 t | 2023 | up 90.9% | rising |
| 37 | Uganda | 21 1000 t | 2023 | up 425.0% | volatile |
| 39 | Nicaragua | 20 1000 t | 2023 | up 66.7% | rising |
| 40 | Slovakia | 18 1000 t | 2023 | up 200.0% | volatile |
| 41 | Jamaica | 17 1000 t | 2023 | down 10.5% | rising |
| 42 | Ghana | 16 1000 t | 2023 | down 33.3% | volatile |
| 42 | Thailand | 16 1000 t | 2023 | up 23.1% | rising |
| 42 | Viet Nam | 16 1000 t | 2023 | up 6.7% | falling |
| 45 | Guyana | 15 1000 t | 2023 | down 21.1% | flat |
| 46 | Estonia | 14 1000 t | 2023 | down 36.4% | falling |
| 46 | Portugal | 14 1000 t | 2023 | up 55.6% | rising |
| 48 | Barbados | 13 1000 t | 2023 | down 13.3% | falling |
| 48 | New Zealand | 13 1000 t | 2023 | up 225.0% | rising |
| 50 | Norway | 12 1000 t | 2023 | up 100.0% | rising |
| 50 | Romania | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 52 | Belarus | 11 1000 t | 2023 | down 69.4% | rising |
| 52 | Denmark | 11 1000 t | 2023 | down 50.0% | falling |
| 54 | Türkiye | 10 1000 t | 2023 | up 66.7% | rising |
| 55 | Kazakhstan | 9 1000 t | 2023 | up 800.0% | volatile |
| 55 | Luxembourg | 9 1000 t | 2023 | — | volatile |
| 57 | Angola | 8 1000 t | 2023 | — | volatile |
| 57 | Panama | 8 1000 t | 2023 | down 27.3% | volatile |
| 57 | Uzbekistan | 8 1000 t | 2023 | up 300.0% | volatile |
| 60 | Argentina | 7 1000 t | 2023 | down 12.5% | falling |
| 60 | Azerbaijan | 7 1000 t | 2023 | down 12.5% | falling |
| 60 | Colombia | 7 1000 t | 2023 | up 16.7% | rising |
| 60 | Croatia | 7 1000 t | 2023 | up 75.0% | rising |
| 60 | Malaysia | 7 1000 t | 2023 | down 58.8% | volatile |
| 65 | China, Hong Kong SAR | 6 1000 t | 2023 | down 25.0% | falling |
| 66 | Mauritius | 5 1000 t | 2023 | up 400.0% | volatile |
| 66 | Philippines | 5 1000 t | 2023 | up 400.0% | volatile |
| 66 | Serbia | 5 1000 t | 2023 | up 150.0% | rising |
| 66 | China, Taiwan Province of | 5 1000 t | 2023 | down 76.2% | volatile |
| 70 | Hungary | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | Jordan | 4 1000 t | 2023 | down 20.0% | falling |
| 70 | Kenya | 4 1000 t | 2023 | down 55.6% | rising |
| 70 | Montenegro | 4 1000 t | 2023 | — | volatile |
| 70 | Peru | 4 1000 t | 2023 | up 300.0% | rising |
| 70 | Slovenia | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | United Republic of Tanzania | 4 1000 t | 2023 | up 100.0% | volatile |
| 77 | Suriname | 3 1000 t | 2023 | up 50.0% | volatile |
| 77 | Eswatini | 3 1000 t | 2023 | up 50.0% | volatile |
| 77 | Trinidad and Tobago | 3 1000 t | 2023 | down 70.0% | volatile |
| 77 | Venezuela (Bolivarian Republic of) | 3 1000 t | 2023 | up 50.0% | volatile |
| 81 | Albania | 2 1000 t | 2023 | up 100.0% | volatile |
| 81 | Bahrain | 2 1000 t | 2023 | — | volatile |
| 81 | Bosnia and Herzegovina | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Chile | 2 1000 t | 2023 | down 50.0% | falling |
| 81 | Ethiopia | 2 1000 t | 2023 | unchanged | volatile |
| 81 | Honduras | 2 1000 t | 2023 | — | volatile |
| 81 | Iceland | 2 1000 t | 2023 | up 100.0% | volatile |
| 81 | Kyrgyzstan | 2 1000 t | 2023 | — | volatile |
| 81 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | volatile |
| 90 | Belize | 1 1000 t | 2023 | — | volatile |
| 90 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 90 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 90 | Gambia | 1 1000 t | 2023 | — | volatile |
| 90 | Haiti | 1 1000 t | 2023 | — | volatile |
| 90 | Indonesia | 1 1000 t | 2023 | — | volatile |
| 90 | Israel | 1 1000 t | 2023 | — | volatile |
| 90 | Lebanon | 1 1000 t | 2023 | down 66.7% | rising |
| 90 | Sri Lanka | 1 1000 t | 2023 | — | volatile |
| 90 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 90 | Namibia | 1 1000 t | 2023 | down 75.0% | volatile |
| 90 | Saudi Arabia | 1 1000 t | 2022 | — | volatile |
| 90 | El Salvador | 1 1000 t | 2023 | unchanged | falling |
| 90 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 104 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 104 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 104 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 104 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 104 | Bhutan | 0 1000 t | 2023 | — | flat |
| 104 | Botswana | 0 1000 t | 2023 | — | volatile |
| 104 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Congo | 0 1000 t | 2023 | — | volatile |
| 104 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Algeria | 0 1000 t | 2023 | — | flat |
| 104 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Fiji | 0 1000 t | 2023 | — | volatile |
| 104 | Gabon | 0 1000 t | 2023 | — | flat |
| 104 | Guinea | 0 1000 t | 2023 | — | flat |
| 104 | Guinea-Bissau | 0 1000 t | 2019 | — | flat |
| 104 | Grenada | 0 1000 t | 2023 | — | flat |
| 104 | Iraq | 0 1000 t | 2023 | — | flat |
| 104 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 104 | Kuwait | 0 1000 t | 2015 | — | flat |
| 104 | Liberia | 0 1000 t | 2023 | — | flat |
| 104 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 104 | Lesotho | 0 1000 t | 2022 | — | flat |
| 104 | Morocco | 0 1000 t | 2023 | — | volatile |
| 104 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 104 | Maldives | 0 1000 t | 2020 | — | flat |
| 104 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Malta | 0 1000 t | 2023 | — | flat |
| 104 | Mongolia | 0 1000 t | 2023 | — | flat |
| 104 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Malawi | 0 1000 t | 2023 | — | volatile |
| 104 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 104 | Niger | 0 1000 t | 2020 | — | flat |
| 104 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 104 | Nepal | 0 1000 t | 2023 | — | volatile |
| 104 | Oman | 0 1000 t | 2023 | — | flat |
| 104 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 104 | Paraguay | 0 1000 t | 2023 | — | flat |
| 104 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 104 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 104 | Senegal | 0 1000 t | 2023 | — | flat |
| 104 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 104 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 104 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 104 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 104 | Turkmenistan | 0 1000 t | 2022 | — | flat |
| 104 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 104 | Uruguay | 0 1000 t | 2023 | — | flat |
| 104 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 104 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 104 | Samoa | 0 1000 t | 2021 | — | flat |
| 104 | Yemen | 0 1000 t | 2023 | — | flat |
| 104 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Micronesia | 0 1000 t | 2022 | — | flat |
| 104 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 104 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 104 | Polynesia | 0 1000 t | 2023 | — | flat |
| 104 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 104 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 104 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 104 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 104 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 104 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 104 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,733 1000 t
- Europe 3,786 1000 t
- European Union (27) 2,601 1000 t
- Northern Europe 1,545 1000 t
- Western Europe 1,235 1000 t
- Americas 1,201 1000 t
- Southern Europe 738 1000 t
- Asia 592 1000 t
- Central America 534 1000 t
- Northern America 479 1000 t
- United States of America 313 1000 t
- Eastern Europe 268 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.