Alcoholic Beverages — Other uses (non-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...
Countries reporting
156
Highest
3,669 1000 t
India
Lowest
0 1000 t
Micronesia
Median
12.5 1000 t
Years covered
14
2010–2023
Data points
2,793
What the numbers show
Alcoholic Beverages — Other uses (non-food) is currently reported for 156 countries. The highest value is 3,669 1000 t in India; the lowest is 0 1000 t in Micronesia.
The median across all reporting countries is 12.5 1000 t, and the mean is 140.51 1000 t.
Over the past decade 75 countries rose and 53 fell. The largest increase was in Austria (up 10,250.0%), and the largest decrease in Bulgaria (down 100.0%).
Alcoholic Beverages — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 3,669 1000 t | 2023 | up 29.1% | rising |
| 2 | Canada | 2,249 1000 t | 2023 | up 112.0% | rising |
| 3 | Brazil | 1,356 1000 t | 2023 | down 86.5% | volatile |
| 4 | United States | 1,121 1000 t | 2023 | up 134.5% | volatile |
| 5 | Republic of Korea | 1,095 1000 t | 2023 | up 406.9% | volatile |
| 6 | France | 959 1000 t | 2023 | up 2,806.1% | volatile |
| 7 | Germany | 947 1000 t | 2023 | down 6.2% | falling |
| 8 | United Kingdom | 771 1000 t | 2023 | up 32.5% | volatile |
| 8 | United Kingdom of Great Britain and Northern Ireland | 771 1000 t | 2023 | up 32.5% | volatile |
| 10 | Mexico | 646 1000 t | 2023 | up 104.4% | rising |
| 11 | Philippines | 574 1000 t | 2023 | up 106.5% | rising |
| 12 | Italy | 523 1000 t | 2023 | up 62.4% | rising |
| 13 | Thailand | 421 1000 t | 2023 | up 40.8% | rising |
| 14 | Russia | 399 1000 t | 2023 | up 5,600.0% | volatile |
| 14 | Russian Federation | 399 1000 t | 2023 | up 5,600.0% | volatile |
| 16 | Belgium | 370 1000 t | 2023 | up 281.4% | volatile |
| 17 | Myanmar | 347 1000 t | 2023 | down 69.0% | falling |
| 18 | China | 259 1000 t | 2023 | up 13.1% | volatile |
| 19 | Colombia | 243 1000 t | 2023 | up 118.9% | volatile |
| 20 | Denmark | 220 1000 t | 2023 | up 74.6% | rising |
| 21 | Nigeria | 216 1000 t | 2023 | up 8.5% | rising |
| 21 | China, mainland | 216 1000 t | 2023 | up 50.0% | volatile |
| 23 | Austria | 207 1000 t | 2023 | up 10,250.0% | volatile |
| 24 | Tajikistan | 198 1000 t | 2023 | — | volatile |
| 25 | Argentina | 177 1000 t | 2023 | up 261.2% | rising |
| 26 | Sweden | 163 1000 t | 2023 | up 25.4% | rising |
| 27 | Romania | 153 1000 t | 2023 | up 350.0% | volatile |
| 28 | Egypt | 148 1000 t | 2023 | up 2,366.7% | volatile |
| 29 | Turkey | 145 1000 t | 2023 | up 22.9% | rising |
| 29 | Türkiye | 145 1000 t | 2023 | up 22.9% | rising |
| 31 | Pakistan | 138 1000 t | 2023 | up 15.0% | volatile |
| 32 | Czechia | 129 1000 t | 2023 | up 821.4% | volatile |
| 33 | Caribbean | 118 1000 t | 2023 | down 42.7% | falling |
| 34 | Switzerland | 114 1000 t | 2023 | up 178.0% | rising |
| 35 | Guatemala | 110 1000 t | 2023 | up 96.4% | rising |
| 36 | United Arab Emirates | 102 1000 t | 2023 | down 57.1% | volatile |
| 36 | Saudi Arabia | 102 1000 t | 2023 | up 500.0% | volatile |
| 38 | Spain | 97 1000 t | 2023 | up 54.0% | falling |
| 39 | Greece | 88 1000 t | 2023 | up 238.5% | volatile |
| 40 | Peru | 85 1000 t | 2023 | up 672.7% | volatile |
| 41 | Jamaica | 79 1000 t | 2023 | down 60.3% | falling |
| 42 | Netherlands (Kingdom of the) | 78 1000 t | 2022 | down 37.6% | volatile |
| 43 | Finland | 75 1000 t | 2023 | up 226.1% | volatile |
| 43 | Norway | 75 1000 t | 2023 | up 25.0% | rising |
| 43 | Nepal | 75 1000 t | 2023 | up 92.3% | rising |
| 46 | Portugal | 59 1000 t | 2023 | up 268.8% | rising |
| 47 | Eswatini | 58 1000 t | 2023 | down 46.3% | falling |
| 48 | Angola | 56 1000 t | 2023 | up 51.4% | rising |
| 48 | Cameroon | 56 1000 t | 2023 | up 133.3% | rising |
| 50 | Ireland | 52 1000 t | 2023 | up 271.4% | rising |
| 50 | Laos | 52 1000 t | 2023 | up 147.6% | rising |
| 50 | Lao People's Democratic Republic | 52 1000 t | 2023 | up 147.6% | rising |
| 53 | China, Taiwan Province of | 43 1000 t | 2023 | down 48.8% | falling |
| 54 | Ghana | 40 1000 t | 2023 | up 5.3% | rising |
| 55 | Bolivia (Plurinational State of) | 37 1000 t | 2023 | up 37.0% | volatile |
| 56 | Lithuania | 33 1000 t | 2023 | up 200.0% | rising |
| 56 | Australia and New Zealand | 33 1000 t | 2023 | down 28.3% | falling |
| 58 | Iran (Islamic Republic of) | 32 1000 t | 2023 | up 220.0% | rising |
| 59 | Chile | 31 1000 t | 2023 | up 10.7% | rising |
| 59 | New Zealand | 31 1000 t | 2023 | down 16.2% | falling |
| 61 | Georgia | 30 1000 t | 2023 | down 18.9% | flat |
| 62 | United Republic of Tanzania | 29 1000 t | 2023 | up 26.1% | volatile |
| 63 | Indonesia | 26 1000 t | 2023 | down 48.0% | falling |
| 64 | Cote d'Ivoire | 25 1000 t | 2023 | up 316.7% | volatile |
| 64 | Kenya | 25 1000 t | 2023 | — | volatile |
| 64 | Democratic Republic of the Congo | 25 1000 t | 2023 | up 2,400.0% | volatile |
| 64 | Côte d'Ivoire | 25 1000 t | 2023 | up 316.7% | volatile |
| 64 | Democratic People's Republic of Korea | 25 1000 t | 2018 | — | rising |
| 69 | Cuba | 24 1000 t | 2019 | up 140.0% | volatile |
| 70 | Kazakhstan | 22 1000 t | 2023 | up 2,100.0% | volatile |
| 70 | Malaysia | 22 1000 t | 2023 | up 10.0% | rising |
| 72 | Moldova | 19 1000 t | 2023 | down 50.0% | volatile |
| 72 | Republic of Moldova | 19 1000 t | 2023 | down 50.0% | volatile |
| 74 | Kyrgyzstan | 18 1000 t | 2023 | up 50.0% | volatile |
| 74 | Turkmenistan | 18 1000 t | 2023 | down 45.5% | flat |
| 76 | Dominican Republic | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 76 | Venezuela (Bolivarian Republic of) | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 78 | Uganda | 13 1000 t | 2023 | down 35.0% | volatile |
| 79 | Ecuador | 12 1000 t | 2023 | up 140.0% | volatile |
| 79 | Rwanda | 12 1000 t | 2023 | up 500.0% | volatile |
| 79 | Serbia | 12 1000 t | 2023 | unchanged | volatile |
| 79 | Melanesia | 12 1000 t | 2023 | up 33.3% | rising |
| 83 | Croatia | 11 1000 t | 2023 | up 120.0% | rising |
| 83 | Mongolia | 11 1000 t | 2023 | — | volatile |
| 83 | Papua New Guinea | 11 1000 t | 2023 | up 22.2% | rising |
| 83 | Poland | 11 1000 t | 2023 | down 87.2% | volatile |
| 87 | Israel | 10 1000 t | 2023 | down 41.2% | falling |
| 87 | Mozambique | 10 1000 t | 2023 | down 79.6% | volatile |
| 89 | Iraq | 9 1000 t | 2023 | up 800.0% | volatile |
| 89 | Madagascar | 9 1000 t | 2023 | up 12.5% | rising |
| 89 | El Salvador | 9 1000 t | 2023 | unchanged | rising |
| 89 | Zimbabwe | 9 1000 t | 2023 | up 350.0% | rising |
| 93 | Panama | 8 1000 t | 2023 | down 27.3% | rising |
| 94 | Malawi | 7 1000 t | 2018 | — | volatile |
| 95 | Honduras | 6 1000 t | 2023 | up 500.0% | volatile |
| 95 | Morocco | 6 1000 t | 2023 | down 25.0% | falling |
| 95 | North Macedonia | 6 1000 t | 2023 | up 20.0% | rising |
| 95 | Mauritius | 6 1000 t | 2023 | down 79.3% | volatile |
| 95 | Vietnam | 6 1000 t | 2023 | down 14.3% | volatile |
| 95 | Viet Nam | 6 1000 t | 2023 | down 14.3% | volatile |
| 101 | Congo | 5 1000 t | 2023 | up 66.7% | rising |
| 101 | Estonia | 5 1000 t | 2023 | up 66.7% | rising |
| 101 | Jordan | 5 1000 t | 2023 | down 28.6% | volatile |
| 101 | Uruguay | 5 1000 t | 2023 | down 16.7% | falling |
| 105 | Belarus | 4 1000 t | 2023 | up 33.3% | volatile |
| 105 | Haiti | 4 1000 t | 2023 | up 300.0% | volatile |
| 105 | Latvia | 4 1000 t | 2023 | down 60.0% | rising |
| 105 | Slovenia | 4 1000 t | 2023 | down 20.0% | rising |
| 109 | Burkina Faso | 3 1000 t | 2023 | down 25.0% | falling |
| 109 | Luxembourg | 3 1000 t | 2023 | up 200.0% | volatile |
| 109 | Oman | 3 1000 t | 2023 | up 200.0% | volatile |
| 109 | Paraguay | 3 1000 t | 2022 | down 90.0% | volatile |
| 109 | Trinidad and Tobago | 3 1000 t | 2023 | down 25.0% | volatile |
| 109 | Zambia | 3 1000 t | 2023 | down 50.0% | volatile |
| 115 | Albania | 2 1000 t | 2023 | down 50.0% | volatile |
| 115 | Australia | 2 1000 t | 2023 | down 77.8% | volatile |
| 115 | Azerbaijan | 2 1000 t | 2023 | — | volatile |
| 115 | Algeria | 2 1000 t | 2023 | down 33.3% | volatile |
| 115 | Guinea | 2 1000 t | 2023 | down 71.4% | falling |
| 115 | Iceland | 2 1000 t | 2023 | up 100.0% | volatile |
| 115 | Lebanon | 2 1000 t | 2023 | down 33.3% | rising |
| 115 | Sierra Leone | 2 1000 t | 2023 | down 75.0% | falling |
| 115 | Slovakia | 2 1000 t | 2023 | down 86.7% | volatile |
| 115 | South Africa | 2 1000 t | 2023 | down 95.0% | volatile |
| 125 | Armenia | 1 1000 t | 2023 | down 96.3% | volatile |
| 125 | Costa Rica | 1 1000 t | 2023 | down 50.0% | volatile |
| 125 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 125 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 125 | Gabon | 1 1000 t | 2023 | unchanged | volatile |
| 125 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | falling |
| 125 | Guyana | 1 1000 t | 2023 | — | volatile |
| 125 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 125 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 125 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 125 | Syria | 1 1000 t | 2023 | down 75.0% | volatile |
| 125 | Ukraine | 1 1000 t | 2023 | down 93.3% | volatile |
| 125 | Yemen | 1 1000 t | 2023 | — | volatile |
| 125 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | flat |
| 125 | Syrian Arab Republic | 1 1000 t | 2023 | down 75.0% | volatile |
| 140 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 140 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 140 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 140 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 140 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Djibouti | 0 1000 t | 2022 | — | volatile |
| 140 | Hungary | 0 1000 t | 2018 | down 100.0% | volatile |
| 140 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 140 | Libya | 0 1000 t | 2023 | — | volatile |
| 140 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 140 | Sri Lanka | 0 1000 t | 2022 | down 100.0% | volatile |
| 140 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Qatar | 0 1000 t | 2023 | — | volatile |
| 140 | Tunisia | 0 1000 t | 2023 | down 100.0% | falling |
| 140 | Micronesia | 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 20,840 1000 t
- Asia 8,212 1000 t
- Americas 6,232 1000 t
- Europe 5,521 1000 t
- European Union (27) 4,116 1000 t
- Southern Asia 3,915 1000 t
- Northern America 3,370 1000 t
- Western Europe 2,600 1000 t
- Eastern Asia 2,177 1000 t
- South America 1,964 1000 t
- South-Eastern Asia 1,448 1000 t
- Northern Europe 1,400 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,364 1000 t
- United States of America 1,121 1000 t
- Africa 831 1000 t
- Southern Europe 804 1000 t
- Central America 780 1000 t
- Eastern Europe 717 1000 t
- Least Developed Countries (LDCs) 709 1000 t
- Land Locked Developing Countries (LLDCs) 585 1000 t
- Low Income Food Deficit Countries (LIFDCs) 562 1000 t
- Western Asia 415 1000 t
- Western Africa 316 1000 t
- Central Asia 257 1000 t
- Northern Africa 172 1000 t
- Middle Africa 164 1000 t
- Small island developing States (SIDS) 137 1000 t
- Eastern Africa 119 1000 t
- Southern Africa 60 1000 t
- Oceania 45 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.