Alcohol, Non-Food — Other uses (non-food) by country
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 — Other uses (non-food) is currently reported for 153 countries. The highest value is 9.56 million t in Brazil; the lowest is 0 t in Brunei Darussalam.
The median across all reporting countries is 4,387 t, and the mean is 139,233 t.
Over the past decade 92 countries rose and 49 fell. The largest increase was in Togo (up 81,533.3%), and the largest decrease in Central African Republic (down 100.0%).
Alcohol, Non-Food — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 9.56 million t | 2013 | down 33.6% | volatile |
| 2 | India | 2.78 million t | 2013 | up 21.1% | volatile |
| 3 | Canada | 1.06 million t | 2013 | up 781.7% | volatile |
| 4 | Myanmar | 1.04 million t | 2013 | up 44.3% | volatile |
| 5 | Germany | 1.01 million t | 2013 | up 238.6% | volatile |
| 6 | Japan | 589,385 t | 2013 | — | volatile |
| 7 | United Kingdom of Great Britain and Northern Ireland | 581,704 t | 2013 | up 17,771.1% | volatile |
| 8 | Argentina | 376,821 t | 2013 | up 1,239.0% | volatile |
| 9 | Thailand | 358,447 t | 2013 | up 1,216.7% | volatile |
| 10 | Philippines | 330,511 t | 2013 | up 245.7% | volatile |
| 11 | Italy | 322,219 t | 2013 | up 73.9% | rising |
| 12 | Mexico | 256,625 t | 2013 | down 9.5% | volatile |
| 13 | United Arab Emirates | 238,128 t | 2013 | up 3,259.1% | volatile |
| 14 | Republic of Korea | 216,182 t | 2013 | up 21.2% | volatile |
| 15 | Jamaica | 199,378 t | 2013 | — | volatile |
| 16 | Nigeria | 156,901 t | 2013 | up 262.8% | volatile |
| 17 | China, mainland | 154,171 t | 2013 | up 661.4% | volatile |
| 18 | Netherlands (Kingdom of the) | 150,548 t | 2013 | up 34.5% | volatile |
| 19 | Sweden | 130,377 t | 2013 | up 55.0% | volatile |
| 20 | Denmark | 126,273 t | 2013 | up 298.6% | volatile |
| 21 | Colombia | 111,460 t | 2013 | up 882.3% | volatile |
| 22 | T�rkiye | 107,563 t | 2013 | up 143.3% | volatile |
| 23 | Eswatini | 100,884 t | 2013 | up 4,717.8% | volatile |
| 24 | Belgium | 96,707 t | 2013 | up 14,847.0% | volatile |
| 25 | China, Taiwan Province of | 83,510 t | 2013 | up 162.5% | volatile |
| 26 | Guatemala | 80,278 t | 2013 | up 1,496.6% | volatile |
| 27 | Poland | 80,242 t | 2013 | down 35.6% | falling |
| 28 | Spain | 62,547 t | 2013 | down 28.5% | volatile |
| 29 | Norway | 60,316 t | 2013 | up 92.6% | volatile |
| 30 | France | 56,052 t | 2013 | down 69.3% | falling |
| 31 | Mozambique | 49,169 t | 2013 | — | volatile |
| 32 | Australia and New Zealand | 46,301 t | 2013 | up 82.2% | rising |
| 33 | Switzerland | 40,710 t | 2013 | up 47.8% | rising |
| 34 | South Africa | 37,732 t | 2013 | up 216.6% | volatile |
| 35 | Ghana | 37,701 t | 2013 | up 592.5% | volatile |
| 36 | Romania | 36,912 t | 2013 | up 803.8% | volatile |
| 37 | New Zealand | 32,043 t | 2013 | up 1,281.2% | volatile |
| 38 | Chile | 27,572 t | 2013 | up 28.8% | volatile |
| 39 | Greece | 25,749 t | 2013 | up 225.8% | volatile |
| 40 | Cameroon | 23,642 t | 2013 | up 1,545.2% | volatile |
| 41 | Finland | 22,572 t | 2013 | up 73.6% | volatile |
| 42 | Uganda | 20,465 t | 2013 | up 2,086.4% | volatile |
| 43 | Indonesia | 20,365 t | 2013 | down 63.6% | rising |
| 44 | Malaysia | 19,911 t | 2013 | up 497.2% | volatile |
| 45 | Israel | 17,447 t | 2013 | up 25.2% | volatile |
| 46 | Saudi Arabia | 17,187 t | 2013 | up 1,011.7% | volatile |
| 47 | Ireland | 14,437 t | 2013 | up 8.1% | volatile |
| 48 | Paraguay | 14,299 t | 2013 | up 1.4% | volatile |
| 49 | Australia | 14,258 t | 2013 | down 38.3% | rising |
| 50 | Panama | 14,169 t | 2013 | up 135.3% | volatile |
| 51 | Czechia | 14,027 t | 2013 | down 32.6% | rising |
| 52 | Serbia and Montenegro | 13,291 t | 2005 | down 51.6% | falling |
| 53 | Togo | 12,245 t | 2013 | up 81,533.3% | volatile |
| 54 | Slovakia | 10,891 t | 2013 | up 539.1% | volatile |
| 55 | Sri Lanka | 10,774 t | 2013 | down 19.2% | volatile |
| 56 | Lithuania | 10,548 t | 2013 | down 13.9% | rising |
| 57 | Portugal | 10,396 t | 2013 | up 19.1% | volatile |
| 58 | Latvia | 10,272 t | 2013 | up 476.1% | volatile |
| 59 | Kyrgyzstan | 10,000 t | 2013 | unchanged | rising |
| 60 | El Salvador | 8,991 t | 2013 | up 12.7% | volatile |
| 61 | Madagascar | 8,461 t | 2013 | up 1,298.5% | volatile |
| 62 | Georgia | 8,395 t | 2013 | up 147.6% | volatile |
| 63 | Sierra Leone | 8,316 t | 2013 | up 1,025.3% | volatile |
| 64 | Ukraine | 7,843 t | 2013 | up 137.4% | volatile |
| 65 | Nepal | 7,771 t | 2013 | up 40,800.0% | volatile |
| 66 | Russian Federation | 6,856 t | 2013 | down 85.2% | volatile |
| 67 | Guinea | 6,760 t | 2013 | up 61,354.5% | volatile |
| 68 | Jordan | 6,531 t | 2013 | up 58.6% | volatile |
| 69 | Serbia | 6,430 t | 2013 | up 77.3% | rising |
| 70 | Zambia | 6,399 t | 2013 | up 1,472.2% | volatile |
| 71 | Morocco | 6,100 t | 2013 | down 6.8% | volatile |
| 72 | Uruguay | 6,028 t | 2013 | up 111.2% | volatile |
| 73 | C�te d'Ivoire | 5,787 t | 2013 | up 74.0% | volatile |
| 74 | Croatia | 4,967 t | 2013 | up 20.7% | falling |
| 75 | North Macedonia | 4,788 t | 2013 | up 12.7% | rising |
| 76 | Slovenia | 4,518 t | 2013 | down 7.0% | falling |
| 77 | Burkina Faso | 4,387 t | 2013 | up 1,912.4% | volatile |
| 78 | Pakistan | 4,131 t | 2013 | up 56.7% | volatile |
| 79 | Belarus | 4,098 t | 2013 | up 156.4% | volatile |
| 80 | Austria | 3,802 t | 2013 | down 93.7% | volatile |
| 81 | Egypt | 3,776 t | 2013 | up 90.3% | volatile |
| 82 | Albania | 3,699 t | 2013 | up 289.8% | volatile |
| 83 | Tunisia | 3,498 t | 2013 | up 28.9% | volatile |
| 84 | Algeria | 3,385 t | 2013 | up 18.5% | volatile |
| 85 | Estonia | 3,120 t | 2013 | up 2.0% | volatile |
| 86 | Lebanon | 3,087 t | 2013 | up 383.1% | volatile |
| 87 | Congo | 2,722 t | 2013 | up 1,274.8% | volatile |
| 88 | Trinidad and Tobago | 2,660 t | 2013 | up 657.8% | volatile |
| 89 | Bulgaria | 2,636 t | 2013 | down 92.2% | falling |
| 90 | Mali | 2,180 t | 2013 | up 124.3% | volatile |
| 91 | Malawi | 2,056 t | 2013 | up 3,444.8% | volatile |
| 92 | Rwanda | 2,022 t | 2013 | up 4,295.6% | volatile |
| 93 | Kenya | 1,848 t | 2013 | down 59.7% | volatile |
| 94 | Hungary | 1,785 t | 2013 | down 92.5% | volatile |
| 95 | Mauritius | 1,482 t | 2013 | up 502.4% | volatile |
| 96 | Benin | 1,013 t | 2013 | up 1,507.9% | volatile |
| 97 | Luxembourg | 966 t | 2013 | down 10.1% | rising |
| 98 | Botswana | 961 t | 2013 | up 236.0% | volatile |
| 99 | Kazakhstan | 942 t | 2013 | up 17.8% | volatile |
| 100 | Haiti | 865 t | 2013 | up 1,959.5% | volatile |
| 101 | Honduras | 778 t | 2013 | down 9.7% | volatile |
| 102 | Oman | 764 t | 2013 | up 918.7% | volatile |
| 103 | Namibia | 747 t | 2013 | up 2,666.7% | volatile |
| 104 | China, Hong Kong SAR | 699 t | 2013 | up 38.1% | volatile |
| 105 | Costa Rica | 636 t | 2013 | down 95.1% | volatile |
| 106 | Iceland | 612 t | 2013 | up 135.4% | volatile |
| 107 | China, Macao SAR | 600 t | 2013 | up 115.1% | volatile |
| 108 | Kuwait | 550 t | 2013 | — | volatile |
| 109 | Gabon | 527 t | 2013 | up 346.6% | volatile |
| 110 | Armenia | 447 t | 2013 | up 243.8% | volatile |
| 111 | Azerbaijan | 426 t | 2013 | down 54.2% | volatile |
| 112 | Cuba | 418 t | 2013 | down 98.0% | volatile |
| 113 | Peru | 355 t | 2013 | down 37.9% | volatile |
| 114 | Yemen | 322 t | 2013 | — | volatile |
| 115 | Cyprus | 303 t | 2013 | down 26.5% | volatile |
| 116 | Mongolia | 300 t | 2013 | down 38.0% | volatile |
| 117 | Bahamas | 249 t | 2013 | down 86.7% | volatile |
| 118 | Sudan (former) | 232 t | 2011 | up 1,557.1% | volatile |
| 119 | Zimbabwe | 149 t | 2013 | down 64.9% | volatile |
| 120 | Malta | 139 t | 2013 | down 40.3% | volatile |
| 121 | Bosnia and Herzegovina | 124 t | 2013 | down 51.4% | volatile |
| 122 | Dominica | 103 t | 2013 | down 49.0% | volatile |
| 122 | New Caledonia | 103 t | 2013 | up 43.1% | volatile |
| 124 | Bangladesh | 100 t | 2013 | up 53.8% | volatile |
| 124 | Tajikistan | 100 t | 2013 | up 9,900.0% | volatile |
| 126 | Suriname | 95 t | 2013 | — | volatile |
| 127 | Solomon Islands | 82 t | 2013 | up 4,000.0% | volatile |
| 128 | Guyana | 77 t | 2013 | — | volatile |
| 129 | Montenegro | 51 t | 2013 | down 15.0% | falling |
| 130 | Samoa | 35 t | 2013 | down 5.4% | volatile |
| 130 | Netherlands Antilles (former) | 35 t | 2010 | down 96.7% | volatile |
| 132 | Saint Vincent and the Grenadines | 34 t | 2013 | up 3,300.0% | volatile |
| 133 | Saint Kitts and Nevis | 29 t | 2013 | up 7.4% | volatile |
| 134 | Niger | 25 t | 2013 | up 2,400.0% | volatile |
| 135 | Gambia | 14 t | 2013 | down 30.0% | volatile |
| 136 | Grenada | 11 t | 2013 | down 82.5% | volatile |
| 136 | French Polynesia | 11 t | 2013 | down 38.9% | volatile |
| 138 | Saint Lucia | 6 t | 2013 | down 88.2% | volatile |
| 138 | Sao Tome and Principe | 6 t | 2013 | — | volatile |
| 140 | Antigua and Barbuda | 2 t | 2013 | — | volatile |
| 141 | Belize | 1 t | 2013 | — | volatile |
| 141 | Djibouti | 1 t | 2013 | down 90.0% | volatile |
| 141 | Ethiopia | 1 t | 2013 | down 96.2% | volatile |
| 141 | Mauritania | 1 t | 2013 | down 98.9% | volatile |
| 141 | Senegal | 1 t | 2013 | down 99.9% | volatile |
| 141 | Chad | 1 t | 2013 | down 90.0% | volatile |
| 147 | Barbados | 0 t | 2013 | — | volatile |
| 147 | Central African Republic | 0 t | 2013 | down 100.0% | volatile |
| 147 | Fiji | 0 t | 2013 | down 100.0% | volatile |
| 147 | Cambodia | 0 t | 2013 | down 100.0% | volatile |
| 147 | Kiribati | 0 t | 2013 | down 100.0% | volatile |
| 147 | Vanuatu | 0 t | 2013 | down 100.0% | volatile |
| 147 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 21.77 million t
- Asia 6.05 million t
- Americas 12.21 million t
- Land locked developing countries 200,733 t
- South America 10.10 million t
- Middle Africa 26,898 t
- Low Income Food Deficit Countries 3.17 million t
- United Republic of Tanzania 22,707 t
- Europe 2.93 million t
- Lao People's Democratic Republic 15,000 t
- Southern Asia 2.81 million t
- Bolivia (Plurinational State of) 6,697 t
- European Union (27) 2.21 million t
- Iran (Islamic Republic of) 4,660 t
- South-Eastern Asia 1.78 million t
- Republic of Moldova 433 t
- Net Food Importing Developing Countries 1.57 million t
- Melanesia 185 t
- Northern America 1.54 million t
- Polynesia 46 t
- Western Europe 1.36 million t
- Micronesia 0 t
- Venezuela (Bolivarian Republic of) 0 t
- Least developed countries 1.21 million t
- Eastern Asia 1.04 million t
- Northern Europe 960,231 t
- Africa 534,646 t
- United States of America 477,542 t
- Southern Europe 445,627 t
- Western Asia 401,150 t
- Central America 361,478 t
- Western Africa 235,436 t
- Small island developing States 205,752 t
- Caribbean 203,755 t
- Eastern Europe 165,723 t
- Southern Africa 140,324 t
- Eastern Africa 114,760 t
- Oceania 46,532 t
- Northern Africa 17,228 t
- Central Asia 11,042 t
About this data
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 caput 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.