Beverages, Fermented — Production 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 — Production is currently reported for 87 countries. The highest value is 3,725 1000 t in China; the lowest is 0 1000 t in North Macedonia.
The median across all reporting countries is 17 1000 t, and the mean is 295.78 1000 t.
Over the past decade 46 countries rose and 20 fell. The largest increase was in Rwanda (up 767.5%), and the largest decrease in Poland (down 95.6%).
Beverages, Fermented — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 3,725 1000 t | 2023 | up 28.6% | rising |
| 2 | China, mainland | 3,697 1000 t | 2023 | up 29.0% | rising |
| 3 | Uganda | 2,747 1000 t | 2023 | up 15.2% | flat |
| 4 | United Republic of Tanzania | 2,511 1000 t | 2023 | down 11.4% | flat |
| 5 | Cameroon | 1,959 1000 t | 2023 | up 30.3% | rising |
| 6 | Burkina Faso | 1,480 1000 t | 2023 | down 54.3% | falling |
| 7 | Republic of Korea | 1,302 1000 t | 2023 | down 19.2% | falling |
| 8 | Nigeria | 1,062 1000 t | 2023 | up 44.9% | volatile |
| 9 | Angola | 801 1000 t | 2023 | up 54.3% | rising |
| 10 | Ethiopia | 792 1000 t | 2023 | up 35.4% | rising |
| 11 | France | 769 1000 t | 2023 | up 50.8% | rising |
| 12 | Rwanda | 668 1000 t | 2023 | up 767.5% | volatile |
| 13 | Kenya | 578 1000 t | 2023 | up 20.4% | rising |
| 14 | Democratic Republic of the Congo | 542 1000 t | 2023 | up 23.2% | rising |
| 15 | Ghana | 470 1000 t | 2023 | up 67.3% | rising |
| 16 | Malawi | 403 1000 t | 2023 | up 38.0% | rising |
| 17 | Zambia | 378 1000 t | 2023 | up 20.4% | rising |
| 18 | Canada | 299 1000 t | 2023 | up 36.5% | rising |
| 19 | Zimbabwe | 128 1000 t | 2023 | up 23.1% | rising |
| 20 | South Africa | 126 1000 t | 2023 | up 38.5% | rising |
| 21 | Sweden | 101 1000 t | 2023 | up 3.1% | rising |
| 22 | Cote d'Ivoire | 95 1000 t | 2023 | up 25.0% | rising |
| 22 | Côte d'Ivoire | 95 1000 t | 2023 | up 25.0% | rising |
| 24 | Mexico | 82 1000 t | 2023 | — | volatile |
| 25 | Eswatini | 68 1000 t | 2023 | up 33.3% | rising |
| 26 | Italy | 66 1000 t | 2023 | up 164.0% | volatile |
| 27 | Hungary | 59 1000 t | 2023 | up 55.3% | rising |
| 28 | Philippines | 53 1000 t | 2023 | up 657.1% | volatile |
| 29 | Vietnam | 50 1000 t | 2023 | up 257.1% | volatile |
| 29 | Viet Nam | 50 1000 t | 2023 | up 257.1% | volatile |
| 31 | Germany | 49 1000 t | 2023 | up 8.9% | rising |
| 32 | Belgium | 44 1000 t | 2023 | down 47.0% | falling |
| 33 | Netherlands (Kingdom of the) | 35 1000 t | 2023 | down 10.3% | falling |
| 34 | Guinea-Bissau | 30 1000 t | 2023 | up 25.0% | rising |
| 35 | Spain | 28 1000 t | 2023 | down 12.5% | rising |
| 36 | China, Taiwan Province of | 25 1000 t | 2023 | down 10.7% | falling |
| 37 | Austria | 23 1000 t | 2023 | up 283.3% | volatile |
| 37 | Ireland | 23 1000 t | 2023 | down 53.1% | falling |
| 39 | Belarus | 20 1000 t | 2023 | up 5.3% | rising |
| 40 | Lithuania | 19 1000 t | 2023 | down 13.6% | rising |
| 40 | Australia and New Zealand | 19 1000 t | 2023 | up 18.8% | rising |
| 42 | Denmark | 18 1000 t | 2023 | down 10.0% | rising |
| 42 | Gambia | 18 1000 t | 2023 | down 63.3% | falling |
| 44 | India | 17 1000 t | 2023 | up 21.4% | rising |
| 45 | Croatia | 15 1000 t | 2023 | — | volatile |
| 45 | Poland | 15 1000 t | 2023 | down 95.6% | volatile |
| 47 | Argentina | 14 1000 t | 2023 | up 55.6% | rising |
| 47 | Serbia | 14 1000 t | 2023 | down 36.4% | rising |
| 49 | Turkey | 13 1000 t | 2023 | up 225.0% | volatile |
| 49 | Türkiye | 13 1000 t | 2023 | up 225.0% | volatile |
| 51 | Armenia | 12 1000 t | 2023 | up 500.0% | volatile |
| 52 | Australia | 10 1000 t | 2023 | unchanged | flat |
| 52 | Bulgaria | 10 1000 t | 2023 | up 11.1% | rising |
| 54 | New Zealand | 9 1000 t | 2023 | up 50.0% | rising |
| 55 | Brazil | 8 1000 t | 2023 | up 100.0% | rising |
| 55 | Switzerland | 8 1000 t | 2023 | down 27.3% | falling |
| 57 | Mozambique | 7 1000 t | 2023 | down 36.4% | falling |
| 57 | Slovakia | 7 1000 t | 2023 | up 250.0% | volatile |
| 59 | Finland | 5 1000 t | 2023 | down 16.7% | falling |
| 60 | Lebanon | 4 1000 t | 2023 | up 300.0% | rising |
| 60 | Pakistan | 4 1000 t | 2023 | down 87.1% | falling |
| 62 | Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 62 | Thailand | 3 1000 t | 2023 | unchanged | falling |
| 62 | Ukraine | 3 1000 t | 2023 | up 200.0% | volatile |
| 62 | Republic of Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 62 | China, Macao SAR | 3 1000 t | 2023 | up 50.0% | rising |
| 67 | Jamaica | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Lesotho | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | Namibia | 2 1000 t | 2023 | down 60.0% | falling |
| 67 | Slovenia | 2 1000 t | 2023 | down 50.0% | falling |
| 67 | Tunisia | 2 1000 t | 2023 | unchanged | falling |
| 67 | Caribbean | 2 1000 t | 2023 | — | volatile |
| 73 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 73 | Czechia | 1 1000 t | 2023 | — | volatile |
| 73 | Georgia | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Grenada | 1 1000 t | 2023 | — | volatile |
| 73 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 73 | Honduras | 1 1000 t | 2023 | unchanged | falling |
| 73 | Indonesia | 1 1000 t | 2023 | unchanged | flat |
| 73 | Israel | 1 1000 t | 2023 | unchanged | rising |
| 73 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Latvia | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 73 | Romania | 1 1000 t | 2023 | — | volatile |
| 73 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 73 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 87 | North Macedonia | 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 24,454 1000 t
- Africa 16,887 1000 t
- Low Income Food Deficit Countries (LIFDCs) 13,884 1000 t
- Net Food Importing Developing Countries (NFIDCs) 13,149 1000 t
- Least Developed Countries (LDCs) 12,396 1000 t
- Eastern Africa 8,379 1000 t
- Land Locked Developing Countries (LLDCs) 7,646 1000 t
- Asia 5,800 1000 t
- Eastern Asia 5,636 1000 t
- Western Africa 4,911 1000 t
- Middle Africa 3,396 1000 t
- Europe 1,340 1000 t
- European Union (27) 1,290 1000 t
- Western Europe 929 1000 t
- Americas 410 1000 t
- Northern America 299 1000 t
- Southern Africa 198 1000 t
- Northern Europe 166 1000 t
- Southern Europe 125 1000 t
- Eastern Europe 120 1000 t
- South-Eastern Asia 108 1000 t
- Central America 84 1000 t
- Small island developing States (SIDS) 34 1000 t
- Western Asia 32 1000 t
- South America 24 1000 t
- Southern Asia 22 1000 t
- Oceania 19 1000 t
- Central Asia 2 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.