Alcohol, Non-Food — Domestic supply 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
Alcohol, Non-Food — Domestic supply quantity is currently reported for 139 countries. The highest value is 3,669 1000 t in India; the lowest is -155 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 9 1000 t, and the mean is 133.84 1000 t.
The gap between the highest and lowest reporting country is a factor of about 24.
Over the past decade 59 countries rose and 46 fell. The largest increase was in Austria (up 10,250.0%), and the largest decrease in Netherlands (Kingdom of the) (down 202.6%).
Alcohol, Non-Food — Domestic supply quantity: 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 | Republic of Korea | 1,095 1000 t | 2023 | up 406.9% | volatile |
| 5 | France | 959 1000 t | 2023 | up 2,806.1% | volatile |
| 6 | Germany | 947 1000 t | 2023 | down 6.2% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 771 1000 t | 2023 | up 32.5% | volatile |
| 8 | Mexico | 646 1000 t | 2023 | up 104.4% | rising |
| 9 | Philippines | 574 1000 t | 2023 | up 106.5% | rising |
| 10 | Italy | 523 1000 t | 2023 | up 62.4% | rising |
| 11 | Thailand | 421 1000 t | 2023 | up 40.8% | rising |
| 12 | Russian Federation | 399 1000 t | 2023 | up 5,600.0% | volatile |
| 13 | Belgium | 370 1000 t | 2023 | up 1,441.7% | volatile |
| 14 | Myanmar | 347 1000 t | 2023 | down 69.0% | falling |
| 15 | China | 259 1000 t | 2023 | up 13.1% | volatile |
| 16 | Colombia | 243 1000 t | 2023 | up 118.9% | volatile |
| 17 | Denmark | 220 1000 t | 2023 | up 74.6% | rising |
| 18 | Nigeria | 216 1000 t | 2023 | up 8.5% | rising |
| 18 | China, mainland | 216 1000 t | 2023 | up 50.0% | volatile |
| 20 | Austria | 207 1000 t | 2023 | up 10,250.0% | volatile |
| 21 | Tajikistan | 198 1000 t | 2023 | — | volatile |
| 22 | Argentina | 177 1000 t | 2023 | up 261.2% | rising |
| 23 | Sweden | 163 1000 t | 2023 | up 25.4% | rising |
| 24 | Romania | 153 1000 t | 2023 | up 350.0% | volatile |
| 25 | Egypt | 148 1000 t | 2023 | up 2,366.7% | volatile |
| 26 | Pakistan | 138 1000 t | 2023 | up 15.0% | volatile |
| 27 | Czechia | 129 1000 t | 2023 | up 821.4% | volatile |
| 28 | Switzerland | 114 1000 t | 2023 | up 178.0% | rising |
| 29 | Guatemala | 110 1000 t | 2023 | up 96.4% | rising |
| 30 | United Arab Emirates | 102 1000 t | 2023 | down 57.1% | volatile |
| 30 | Saudi Arabia | 102 1000 t | 2023 | up 500.0% | volatile |
| 32 | Spain | 97 1000 t | 2023 | up 54.0% | falling |
| 33 | Greece | 88 1000 t | 2023 | up 238.5% | volatile |
| 34 | Peru | 85 1000 t | 2023 | up 672.7% | volatile |
| 35 | Jamaica | 79 1000 t | 2023 | down 60.3% | falling |
| 36 | Finland | 75 1000 t | 2023 | up 226.1% | volatile |
| 36 | Norway | 75 1000 t | 2023 | up 25.0% | rising |
| 36 | Nepal | 75 1000 t | 2023 | up 92.3% | rising |
| 39 | Portugal | 59 1000 t | 2023 | up 268.8% | rising |
| 40 | Eswatini | 58 1000 t | 2023 | down 46.3% | falling |
| 41 | Angola | 56 1000 t | 2023 | — | volatile |
| 41 | Cameroon | 56 1000 t | 2023 | up 133.3% | rising |
| 43 | Ireland | 52 1000 t | 2023 | up 271.4% | rising |
| 44 | China, Taiwan Province of | 43 1000 t | 2023 | down 48.8% | falling |
| 45 | Ghana | 40 1000 t | 2023 | up 5.3% | rising |
| 46 | Lithuania | 33 1000 t | 2023 | up 200.0% | rising |
| 46 | Australia and New Zealand | 33 1000 t | 2023 | down 28.3% | falling |
| 48 | Chile | 31 1000 t | 2023 | up 10.7% | rising |
| 48 | New Zealand | 31 1000 t | 2023 | down 16.2% | falling |
| 50 | Georgia | 30 1000 t | 2023 | down 18.9% | flat |
| 51 | Indonesia | 26 1000 t | 2023 | down 48.0% | falling |
| 52 | Kenya | 25 1000 t | 2023 | — | volatile |
| 53 | Cuba | 24 1000 t | 2019 | up 140.0% | volatile |
| 54 | Kazakhstan | 22 1000 t | 2023 | up 2,100.0% | volatile |
| 54 | Malaysia | 22 1000 t | 2023 | up 10.0% | rising |
| 56 | Kyrgyzstan | 18 1000 t | 2023 | up 50.0% | volatile |
| 56 | Turkmenistan | 18 1000 t | 2023 | — | rising |
| 58 | Dominican Republic | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 59 | Uganda | 13 1000 t | 2023 | down 35.0% | volatile |
| 60 | Ecuador | 12 1000 t | 2023 | up 140.0% | volatile |
| 60 | Rwanda | 12 1000 t | 2023 | up 500.0% | volatile |
| 60 | Serbia | 12 1000 t | 2023 | unchanged | volatile |
| 63 | Croatia | 11 1000 t | 2023 | up 120.0% | rising |
| 63 | Mongolia | 11 1000 t | 2023 | — | volatile |
| 63 | Papua New Guinea | 11 1000 t | 2023 | up 22.2% | rising |
| 63 | Poland | 11 1000 t | 2023 | down 87.2% | volatile |
| 67 | Israel | 10 1000 t | 2023 | down 41.2% | falling |
| 67 | Mozambique | 10 1000 t | 2023 | down 79.6% | volatile |
| 69 | Iraq | 9 1000 t | 2023 | — | volatile |
| 69 | Madagascar | 9 1000 t | 2023 | up 12.5% | rising |
| 69 | El Salvador | 9 1000 t | 2023 | unchanged | rising |
| 69 | Zimbabwe | 9 1000 t | 2023 | — | volatile |
| 73 | Panama | 8 1000 t | 2023 | down 27.3% | rising |
| 74 | Honduras | 6 1000 t | 2023 | up 500.0% | volatile |
| 74 | Liberia | 6 1000 t | 2023 | up 50.0% | rising |
| 74 | Morocco | 6 1000 t | 2023 | down 25.0% | falling |
| 74 | North Macedonia | 6 1000 t | 2023 | up 20.0% | rising |
| 74 | Mauritius | 6 1000 t | 2023 | down 79.3% | volatile |
| 79 | Congo | 5 1000 t | 2023 | up 66.7% | rising |
| 79 | Estonia | 5 1000 t | 2023 | up 66.7% | rising |
| 79 | Jordan | 5 1000 t | 2023 | down 28.6% | volatile |
| 79 | Uruguay | 5 1000 t | 2023 | down 16.7% | falling |
| 83 | Belarus | 4 1000 t | 2023 | up 33.3% | volatile |
| 83 | Haiti | 4 1000 t | 2023 | up 300.0% | volatile |
| 83 | Latvia | 4 1000 t | 2023 | down 60.0% | rising |
| 83 | Slovenia | 4 1000 t | 2023 | down 20.0% | rising |
| 87 | Burkina Faso | 3 1000 t | 2023 | down 25.0% | falling |
| 87 | Luxembourg | 3 1000 t | 2023 | up 200.0% | volatile |
| 87 | Oman | 3 1000 t | 2023 | up 200.0% | volatile |
| 87 | Trinidad and Tobago | 3 1000 t | 2023 | down 25.0% | volatile |
| 87 | Zambia | 3 1000 t | 2023 | down 50.0% | volatile |
| 92 | Albania | 2 1000 t | 2023 | down 50.0% | volatile |
| 92 | Australia | 2 1000 t | 2023 | down 77.8% | volatile |
| 92 | Azerbaijan | 2 1000 t | 2023 | — | volatile |
| 92 | Algeria | 2 1000 t | 2023 | down 33.3% | volatile |
| 92 | Guinea | 2 1000 t | 2023 | down 71.4% | falling |
| 92 | Iceland | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Lebanon | 2 1000 t | 2023 | down 33.3% | rising |
| 92 | Sierra Leone | 2 1000 t | 2023 | down 75.0% | falling |
| 92 | Slovakia | 2 1000 t | 2023 | down 86.7% | volatile |
| 92 | South Africa | 2 1000 t | 2023 | down 95.0% | volatile |
| 102 | Armenia | 1 1000 t | 2023 | down 96.3% | volatile |
| 102 | Costa Rica | 1 1000 t | 2023 | down 50.0% | volatile |
| 102 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 102 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 102 | Gabon | 1 1000 t | 2023 | unchanged | volatile |
| 102 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | falling |
| 102 | Guyana | 1 1000 t | 2023 | — | volatile |
| 102 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 102 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 102 | Senegal | 1 1000 t | 2023 | — | volatile |
| 102 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 102 | Ukraine | 1 1000 t | 2023 | down 93.3% | volatile |
| 102 | Yemen | 1 1000 t | 2023 | — | volatile |
| 102 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | flat |
| 116 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 116 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 116 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 116 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 116 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 116 | Barbados | 0 1000 t | 2023 | — | volatile |
| 116 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 116 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Cambodia | 0 1000 t | 2023 | up 100.0% | volatile |
| 116 | Libya | 0 1000 t | 2023 | — | volatile |
| 116 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 116 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 116 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Qatar | 0 1000 t | 2023 | — | volatile |
| 116 | Tunisia | 0 1000 t | 2023 | down 100.0% | falling |
| 116 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 116 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 161 | Netherlands (Kingdom of the) | -155 1000 t | 2023 | down 202.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Americas 6,232 1000 t
- European Union (27) 3,962 1000 t
- Türkiye 145 1000 t
- Southern Asia 3,915 1000 t
- Northern America 3,370 1000 t
- Western Europe 2,445 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) 1,371 1000 t
- United States of America 1,121 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.