Beverages, Fermented — Food 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 — Food is currently reported for 177 countries. The highest value is 3,677 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 1 1000 t, and the mean is 139.94 1000 t.
Over the past decade 57 countries rose and 27 fell. The largest increase was in Hungary (up 1,566.7%), and the largest decrease in Austria (down 100.0%).
Beverages, Fermented — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 3,677 1000 t | 2023 | up 28.9% | rising |
| 2 | China, mainland | 3,631 1000 t | 2023 | up 29.1% | rising |
| 3 | Uganda | 2,747 1000 t | 2023 | up 15.2% | flat |
| 4 | United Republic of Tanzania | 2,502 1000 t | 2023 | down 1.3% | rising |
| 5 | Cameroon | 1,757 1000 t | 2023 | up 76.2% | rising |
| 6 | Burkina Faso | 1,480 1000 t | 2023 | down 48.8% | falling |
| 7 | Republic of Korea | 1,262 1000 t | 2023 | down 11.1% | falling |
| 8 | Nigeria | 1,062 1000 t | 2023 | up 39.2% | falling |
| 9 | Ethiopia | 792 1000 t | 2023 | up 44.3% | rising |
| 10 | France | 742 1000 t | 2023 | up 50.2% | rising |
| 11 | Angola | 707 1000 t | 2023 | up 47.9% | rising |
| 12 | Rwanda | 659 1000 t | 2023 | up 855.1% | volatile |
| 13 | Kenya | 578 1000 t | 2023 | up 40.6% | rising |
| 14 | Democratic Republic of the Congo | 545 1000 t | 2023 | up 35.9% | rising |
| 15 | Ghana | 452 1000 t | 2023 | up 63.2% | rising |
| 16 | Zambia | 336 1000 t | 2023 | up 18.3% | rising |
| 17 | Malawi | 323 1000 t | 2023 | up 23.3% | rising |
| 18 | Canada | 260 1000 t | 2023 | up 14.0% | falling |
| 19 | United Kingdom of Great Britain and Northern Ireland | 162 1000 t | 2023 | up 38.5% | rising |
| 20 | Zimbabwe | 125 1000 t | 2023 | up 35.9% | rising |
| 21 | Côte d'Ivoire | 92 1000 t | 2023 | up 24.3% | rising |
| 22 | Mexico | 73 1000 t | 2023 | up 1,360.0% | volatile |
| 22 | Eswatini | 73 1000 t | 2023 | up 25.9% | rising |
| 24 | Hungary | 50 1000 t | 2023 | up 1,566.7% | volatile |
| 25 | Philippines | 41 1000 t | 2023 | up 485.7% | volatile |
| 26 | Australia and New Zealand | 35 1000 t | 2023 | down 20.5% | falling |
| 27 | Czechia | 32 1000 t | 2023 | up 190.9% | volatile |
| 27 | China, Taiwan Province of | 32 1000 t | 2023 | up 3.2% | flat |
| 29 | Netherlands (Kingdom of the) | 31 1000 t | 2023 | up 1,450.0% | volatile |
| 30 | Spain | 30 1000 t | 2023 | down 21.1% | falling |
| 30 | Viet Nam | 30 1000 t | 2023 | up 114.3% | volatile |
| 32 | Guinea-Bissau | 29 1000 t | 2023 | up 31.8% | rising |
| 33 | Australia | 27 1000 t | 2023 | down 34.1% | falling |
| 34 | Botswana | 26 1000 t | 2023 | up 136.4% | volatile |
| 35 | Mozambique | 22 1000 t | 2023 | up 120.0% | rising |
| 36 | Belarus | 21 1000 t | 2023 | up 10.5% | rising |
| 37 | Gambia | 18 1000 t | 2023 | down 53.8% | falling |
| 37 | Russian Federation | 18 1000 t | 2023 | down 69.0% | falling |
| 39 | India | 17 1000 t | 2023 | up 30.8% | rising |
| 39 | Namibia | 17 1000 t | 2023 | down 39.3% | rising |
| 41 | Romania | 13 1000 t | 2023 | up 333.3% | volatile |
| 42 | Lesotho | 12 1000 t | 2023 | up 33.3% | volatile |
| 42 | Latvia | 12 1000 t | 2023 | up 200.0% | volatile |
| 42 | Ukraine | 12 1000 t | 2023 | up 500.0% | volatile |
| 45 | Argentina | 11 1000 t | 2023 | up 175.0% | volatile |
| 45 | Switzerland | 11 1000 t | 2023 | down 38.9% | falling |
| 45 | Norway | 11 1000 t | 2023 | up 83.3% | rising |
| 45 | China, Hong Kong SAR | 11 1000 t | 2023 | up 57.1% | rising |
| 45 | Türkiye | 11 1000 t | 2023 | up 120.0% | rising |
| 50 | Serbia | 10 1000 t | 2023 | down 44.4% | falling |
| 51 | New Zealand | 9 1000 t | 2023 | up 200.0% | volatile |
| 52 | Italy | 8 1000 t | 2023 | up 700.0% | volatile |
| 52 | Caribbean | 8 1000 t | 2023 | up 100.0% | rising |
| 54 | Portugal | 7 1000 t | 2023 | up 75.0% | rising |
| 54 | Sweden | 7 1000 t | 2023 | — | volatile |
| 56 | Paraguay | 6 1000 t | 2023 | up 50.0% | rising |
| 57 | Bulgaria | 5 1000 t | 2023 | up 66.7% | volatile |
| 57 | Lithuania | 5 1000 t | 2023 | up 400.0% | volatile |
| 57 | Thailand | 5 1000 t | 2023 | unchanged | rising |
| 60 | Bosnia and Herzegovina | 4 1000 t | 2023 | unchanged | flat |
| 60 | Finland | 4 1000 t | 2023 | — | volatile |
| 60 | Greece | 4 1000 t | 2023 | up 100.0% | volatile |
| 60 | Israel | 4 1000 t | 2023 | up 100.0% | rising |
| 60 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | rising |
| 60 | Lebanon | 4 1000 t | 2023 | up 300.0% | rising |
| 60 | Pakistan | 4 1000 t | 2023 | down 87.1% | falling |
| 60 | Slovenia | 4 1000 t | 2023 | up 100.0% | volatile |
| 60 | China, Macao SAR | 4 1000 t | 2023 | up 100.0% | rising |
| 69 | Armenia | 3 1000 t | 2023 | — | volatile |
| 70 | Chile | 2 1000 t | 2023 | — | volatile |
| 70 | Cyprus | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | volatile |
| 70 | Guyana | 2 1000 t | 2023 | — | volatile |
| 70 | Kyrgyzstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 70 | Malaysia | 2 1000 t | 2023 | unchanged | rising |
| 70 | Slovakia | 2 1000 t | 2023 | down 86.7% | volatile |
| 70 | Tunisia | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Republic of Moldova | 2 1000 t | 2023 | — | volatile |
| 70 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | volatile |
| 80 | Belgium | 1 1000 t | 2023 | down 93.3% | volatile |
| 80 | Barbados | 1 1000 t | 2023 | — | volatile |
| 80 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 80 | Germany | 1 1000 t | 2023 | down 96.6% | volatile |
| 80 | Denmark | 1 1000 t | 2023 | down 83.3% | volatile |
| 80 | Georgia | 1 1000 t | 2023 | unchanged | volatile |
| 80 | Grenada | 1 1000 t | 2023 | — | volatile |
| 80 | Guatemala | 1 1000 t | 2023 | unchanged | falling |
| 80 | Honduras | 1 1000 t | 2023 | — | volatile |
| 80 | Haiti | 1 1000 t | 2023 | unchanged | volatile |
| 80 | Indonesia | 1 1000 t | 2023 | unchanged | flat |
| 80 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 80 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 80 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 80 | Malta | 1 1000 t | 2023 | — | volatile |
| 80 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 80 | Montenegro | 1 1000 t | 2023 | unchanged | rising |
| 80 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 80 | Poland | 1 1000 t | 2023 | down 99.7% | volatile |
| 80 | Uruguay | 1 1000 t | 2023 | down 50.0% | falling |
| 80 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 80 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 80 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 103 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 103 | Albania | 0 1000 t | 2023 | — | flat |
| 103 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 103 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 103 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 103 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 103 | Bahamas | 0 1000 t | 2023 | — | flat |
| 103 | Belize | 0 1000 t | 2023 | — | volatile |
| 103 | Brazil | 0 1000 t | 2023 | — | flat |
| 103 | Bhutan | 0 1000 t | 2023 | — | flat |
| 103 | Congo | 0 1000 t | 2023 | — | flat |
| 103 | Colombia | 0 1000 t | 2023 | — | volatile |
| 103 | Comoros | 0 1000 t | 2023 | — | flat |
| 103 | Cuba | 0 1000 t | 2019 | down 100.0% | falling |
| 103 | Djibouti | 0 1000 t | 2023 | — | flat |
| 103 | Algeria | 0 1000 t | 2023 | — | flat |
| 103 | Ecuador | 0 1000 t | 2023 | — | flat |
| 103 | Egypt | 0 1000 t | 2023 | — | flat |
| 103 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Fiji | 0 1000 t | 2023 | — | flat |
| 103 | Gabon | 0 1000 t | 2023 | — | flat |
| 103 | Guinea | 0 1000 t | 2023 | — | flat |
| 103 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Ireland | 0 1000 t | 2021 | down 100.0% | volatile |
| 103 | Iraq | 0 1000 t | 2023 | — | flat |
| 103 | Iceland | 0 1000 t | 2023 | — | flat |
| 103 | Jordan | 0 1000 t | 2023 | — | flat |
| 103 | Cambodia | 0 1000 t | 2023 | — | flat |
| 103 | Kiribati | 0 1000 t | 2023 | — | flat |
| 103 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 103 | Liberia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Libya | 0 1000 t | 2023 | — | volatile |
| 103 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 103 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 103 | Morocco | 0 1000 t | 2023 | — | flat |
| 103 | Madagascar | 0 1000 t | 2023 | — | flat |
| 103 | Maldives | 0 1000 t | 2023 | — | flat |
| 103 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 103 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 103 | Mauritania | 0 1000 t | 2023 | — | flat |
| 103 | Mauritius | 0 1000 t | 2023 | — | flat |
| 103 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 103 | Niger | 0 1000 t | 2023 | — | flat |
| 103 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 103 | Nepal | 0 1000 t | 2023 | — | flat |
| 103 | Nauru | 0 1000 t | 2023 | — | flat |
| 103 | Oman | 0 1000 t | 2023 | — | flat |
| 103 | Panama | 0 1000 t | 2023 | — | volatile |
| 103 | Peru | 0 1000 t | 2023 | — | flat |
| 103 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 103 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 103 | Senegal | 0 1000 t | 2023 | — | flat |
| 103 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 103 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | El Salvador | 0 1000 t | 2023 | — | flat |
| 103 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 103 | Suriname | 0 1000 t | 2023 | — | flat |
| 103 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 103 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 103 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 103 | Tonga | 0 1000 t | 2023 | — | flat |
| 103 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 103 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 103 | Samoa | 0 1000 t | 2023 | — | flat |
| 103 | Yemen | 0 1000 t | 2023 | — | flat |
| 103 | Micronesia | 0 1000 t | 2023 | — | flat |
| 103 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 103 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 103 | Polynesia | 0 1000 t | 2023 | — | flat |
| 103 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 103 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 103 | Micronesia (Federated States of) | 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 23,871 1000 t
- Africa 16,407 1000 t
- Low Income Food Deficit Countries (LIFDCs) 13,610 1000 t
- Net Food Importing Developing Countries (NFIDCs) 12,995 1000 t
- Least Developed Countries (LDCs) 12,193 1000 t
- Eastern Africa 8,246 1000 t
- Land Locked Developing Countries (LLDCs) 7,546 1000 t
- Asia 5,713 1000 t
- Eastern Asia 5,579 1000 t
- Western Africa 4,896 1000 t
- Middle Africa 3,103 1000 t
- Europe 1,215 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.