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 130 countries. The highest value is 3,677 1000 t in China; the lowest is 0 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 5 1000 t, and the mean is 194.19 1000 t.
Over the past decade 63 countries rose and 28 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 | 162 1000 t | 2023 | up 38.5% | rising |
| 19 | United Kingdom of Great Britain and Northern Ireland | 162 1000 t | 2023 | up 38.5% | rising |
| 21 | United States | 127 1000 t | 2023 | up 452.2% | volatile |
| 22 | Zimbabwe | 125 1000 t | 2023 | up 35.9% | rising |
| 23 | Cote d'Ivoire | 92 1000 t | 2023 | up 24.3% | rising |
| 23 | Côte d'Ivoire | 92 1000 t | 2023 | up 24.3% | rising |
| 25 | Mexico | 73 1000 t | 2023 | up 1,360.0% | volatile |
| 25 | Eswatini | 73 1000 t | 2023 | up 25.9% | rising |
| 27 | Hungary | 50 1000 t | 2023 | up 1,566.7% | volatile |
| 28 | Philippines | 41 1000 t | 2023 | up 485.7% | volatile |
| 29 | Australia and New Zealand | 35 1000 t | 2023 | down 20.5% | falling |
| 30 | South Africa | 34 1000 t | 2023 | up 100.0% | volatile |
| 31 | Czechia | 32 1000 t | 2023 | up 190.9% | volatile |
| 31 | China, Taiwan Province of | 32 1000 t | 2023 | up 3.2% | flat |
| 33 | Netherlands (Kingdom of the) | 31 1000 t | 2023 | up 1,450.0% | volatile |
| 34 | Spain | 30 1000 t | 2023 | down 21.1% | falling |
| 34 | Vietnam | 30 1000 t | 2023 | up 114.3% | volatile |
| 34 | Viet Nam | 30 1000 t | 2023 | up 114.3% | volatile |
| 37 | Guinea-Bissau | 29 1000 t | 2023 | up 31.8% | rising |
| 38 | Australia | 27 1000 t | 2023 | down 34.1% | falling |
| 39 | Botswana | 26 1000 t | 2023 | up 136.4% | volatile |
| 40 | Mozambique | 22 1000 t | 2023 | up 120.0% | rising |
| 41 | Belarus | 21 1000 t | 2023 | up 10.5% | rising |
| 42 | Gambia | 18 1000 t | 2023 | down 53.8% | falling |
| 42 | Russia | 18 1000 t | 2023 | down 69.0% | falling |
| 42 | Russian Federation | 18 1000 t | 2023 | down 69.0% | falling |
| 45 | India | 17 1000 t | 2023 | up 30.8% | rising |
| 45 | Namibia | 17 1000 t | 2023 | down 39.3% | rising |
| 47 | Romania | 13 1000 t | 2023 | up 333.3% | volatile |
| 48 | Lesotho | 12 1000 t | 2023 | up 33.3% | volatile |
| 48 | Latvia | 12 1000 t | 2023 | up 200.0% | volatile |
| 48 | Ukraine | 12 1000 t | 2023 | up 500.0% | volatile |
| 51 | Argentina | 11 1000 t | 2023 | up 175.0% | volatile |
| 51 | Switzerland | 11 1000 t | 2023 | down 38.9% | falling |
| 51 | Norway | 11 1000 t | 2023 | up 83.3% | rising |
| 51 | Turkey | 11 1000 t | 2023 | up 120.0% | rising |
| 51 | China, Hong Kong SAR | 11 1000 t | 2023 | up 57.1% | rising |
| 51 | Türkiye | 11 1000 t | 2023 | up 120.0% | rising |
| 57 | Serbia | 10 1000 t | 2023 | down 44.4% | falling |
| 58 | New Zealand | 9 1000 t | 2023 | up 200.0% | volatile |
| 59 | Italy | 8 1000 t | 2023 | up 700.0% | volatile |
| 59 | Caribbean | 8 1000 t | 2023 | up 100.0% | rising |
| 61 | Portugal | 7 1000 t | 2023 | up 75.0% | rising |
| 61 | Sweden | 7 1000 t | 2023 | — | volatile |
| 63 | Paraguay | 6 1000 t | 2023 | up 50.0% | rising |
| 64 | Bulgaria | 5 1000 t | 2023 | up 66.7% | volatile |
| 64 | Lithuania | 5 1000 t | 2023 | up 400.0% | volatile |
| 64 | Thailand | 5 1000 t | 2023 | unchanged | rising |
| 67 | Bosnia and Herzegovina | 4 1000 t | 2023 | unchanged | flat |
| 67 | Finland | 4 1000 t | 2023 | — | volatile |
| 67 | Greece | 4 1000 t | 2023 | up 100.0% | volatile |
| 67 | Israel | 4 1000 t | 2023 | up 100.0% | rising |
| 67 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | rising |
| 67 | Lebanon | 4 1000 t | 2023 | up 300.0% | rising |
| 67 | Pakistan | 4 1000 t | 2023 | down 87.1% | falling |
| 67 | Slovenia | 4 1000 t | 2023 | up 100.0% | volatile |
| 67 | China, Macao SAR | 4 1000 t | 2023 | up 100.0% | rising |
| 76 | Armenia | 3 1000 t | 2023 | — | volatile |
| 77 | Chile | 2 1000 t | 2023 | — | volatile |
| 77 | Cyprus | 2 1000 t | 2023 | up 100.0% | rising |
| 77 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | volatile |
| 77 | Guyana | 2 1000 t | 2023 | — | volatile |
| 77 | Kyrgyzstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 77 | Moldova | 2 1000 t | 2023 | — | volatile |
| 77 | Malaysia | 2 1000 t | 2023 | unchanged | rising |
| 77 | Slovakia | 2 1000 t | 2023 | down 86.7% | volatile |
| 77 | Tunisia | 2 1000 t | 2023 | up 100.0% | rising |
| 77 | Republic of Moldova | 2 1000 t | 2023 | — | volatile |
| 77 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | volatile |
| 88 | Belgium | 1 1000 t | 2023 | down 93.3% | volatile |
| 88 | Barbados | 1 1000 t | 2023 | — | volatile |
| 88 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 88 | Germany | 1 1000 t | 2023 | down 96.6% | volatile |
| 88 | Denmark | 1 1000 t | 2023 | down 83.3% | volatile |
| 88 | Georgia | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Grenada | 1 1000 t | 2023 | — | volatile |
| 88 | Guatemala | 1 1000 t | 2023 | unchanged | falling |
| 88 | Honduras | 1 1000 t | 2023 | — | volatile |
| 88 | Haiti | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Indonesia | 1 1000 t | 2023 | unchanged | flat |
| 88 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 88 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 88 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 88 | Malta | 1 1000 t | 2023 | — | volatile |
| 88 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 88 | Montenegro | 1 1000 t | 2023 | unchanged | rising |
| 88 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 88 | Poland | 1 1000 t | 2023 | down 99.7% | volatile |
| 88 | Uruguay | 1 1000 t | 2023 | down 50.0% | falling |
| 88 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 88 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 88 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 111 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 111 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 111 | Belize | 0 1000 t | 2023 | — | volatile |
| 111 | Colombia | 0 1000 t | 2023 | — | volatile |
| 111 | Cuba | 0 1000 t | 2019 | down 100.0% | falling |
| 111 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Ireland | 0 1000 t | 2021 | down 100.0% | volatile |
| 111 | Laos | 0 1000 t | 2023 | — | volatile |
| 111 | Liberia | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Libya | 0 1000 t | 2023 | — | volatile |
| 111 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 111 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 111 | Panama | 0 1000 t | 2023 | — | volatile |
| 111 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 111 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Lao People's Democratic Republic | 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 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
- European Union (27) 963 1000 t
- Western Europe 787 1000 t
- Americas 499 1000 t
- Northern America 387 1000 t
- Northern Europe 203 1000 t
- Southern Africa 161 1000 t
- Eastern Europe 154 1000 t
- United States of America 127 1000 t
- South-Eastern Asia 81 1000 t
- Central America 78 1000 t
- Southern Europe 71 1000 t
- Small island developing States (SIDS) 42 1000 t
- Oceania 37 1000 t
- South America 27 1000 t
- Western Asia 26 1000 t
- Southern Asia 22 1000 t
- Central Asia 6 1000 t
- Northern Africa 2 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.