Alcohol, Non-Food — Import Quantity 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 — Import Quantity is currently reported for 164 countries. The highest value is 1.12 million t in Canada; the lowest is 0 t in Brunei Darussalam.
The median across all reporting countries is 999 t, and the mean is 49,956 t.
Over the past decade 99 countries rose and 46 fell. The largest increase was in Togo (up 81,533.3%), and the largest decrease in Micronesia (down 100.0%).
Alcohol, Non-Food — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 1.12 million t | 2013 | up 699.5% | volatile |
| 2 | Germany | 1.06 million t | 2013 | up 451.0% | volatile |
| 3 | United Kingdom of Great Britain and Northern Ireland | 680,208 t | 2013 | up 794.6% | volatile |
| 4 | Netherlands (Kingdom of the) | 642,123 t | 2013 | up 473.7% | volatile |
| 4 | United Republic of Tanzania | 25,400 t | 2013 | — | volatile |
| 5 | Japan | 589,602 t | 2013 | — | volatile |
| 5 | Iran (Islamic Republic of) | 1,209 t | 2013 | up 60,350.0% | volatile |
| 6 | Jamaica | 292,575 t | 2013 | — | volatile |
| 6 | Melanesia | 186 t | 2013 | up 135.4% | volatile |
| 7 | Philippines | 264,244 t | 2013 | up 974.4% | volatile |
| 7 | Republic of Moldova | 135 t | 2013 | down 96.1% | volatile |
| 8 | United Arab Emirates | 239,310 t | 2013 | up 3,035.2% | volatile |
| 8 | Polynesia | 46 t | 2013 | down 16.4% | volatile |
| 9 | Italy | 230,290 t | 2013 | up 81.9% | volatile |
| 9 | Venezuela (Bolivarian Republic of) | 13 t | 2013 | down 99.3% | volatile |
| 10 | Sweden | 226,133 t | 2013 | up 295.4% | volatile |
| 10 | Bolivia (Plurinational State of) | 6 t | 2013 | unchanged | volatile |
| 11 | Republic of Korea | 216,675 t | 2013 | up 20.4% | volatile |
| 11 | Micronesia | 0 t | 2013 | down 100.0% | volatile |
| 12 | France | 173,649 t | 2013 | up 111.8% | volatile |
| 13 | Belgium | 164,390 t | 2013 | up 717.7% | volatile |
| 14 | Nigeria | 156,901 t | 2013 | up 262.8% | volatile |
| 15 | Denmark | 129,922 t | 2013 | up 303.2% | volatile |
| 16 | Mexico | 129,620 t | 2013 | down 22.5% | volatile |
| 17 | Caribbean | 298,111 t | 2013 | up 2,240.5% | volatile |
| 17 | Colombia | 111,487 t | 2013 | up 856.1% | volatile |
| 18 | Brazil | 103,922 t | 2013 | up 1,993.9% | volatile |
| 19 | Spain | 100,976 t | 2013 | up 132.0% | volatile |
| 20 | Poland | 94,443 t | 2013 | — | volatile |
| 21 | Peru | 93,248 t | 2013 | up 1,108.7% | volatile |
| 22 | China, Taiwan Province of | 83,646 t | 2013 | up 162.5% | volatile |
| 23 | T�rkiye | 66,901 t | 2013 | up 1,335.3% | volatile |
| 24 | Romania | 58,257 t | 2013 | up 77,576.0% | volatile |
| 25 | Mozambique | 49,169 t | 2013 | — | volatile |
| 26 | El Salvador | 44,720 t | 2013 | up 37.5% | volatile |
| 27 | Costa Rica | 44,514 t | 2013 | up 0.0% | volatile |
| 28 | Norway | 44,035 t | 2013 | up 533.7% | volatile |
| 29 | Switzerland | 41,415 t | 2013 | up 47.6% | rising |
| 29 | Cabo Verde | 105 t | 2013 | down 0.9% | volatile |
| 30 | Ghana | 37,947 t | 2013 | up 596.1% | volatile |
| 31 | India | 33,739 t | 2013 | up 356.5% | volatile |
| 32 | Austria | 31,210 t | 2013 | up 16.0% | volatile |
| 33 | Hungary | 29,421 t | 2013 | up 68,320.9% | volatile |
| 34 | Chile | 27,808 t | 2013 | up 26.1% | volatile |
| 35 | Greece | 24,508 t | 2013 | up 930.6% | volatile |
| 36 | Cameroon | 23,642 t | 2013 | up 1,188.4% | volatile |
| 37 | Finland | 22,572 t | 2013 | up 33.4% | volatile |
| 38 | Uganda | 21,791 t | 2013 | up 2,228.1% | volatile |
| 39 | Thailand | 21,151 t | 2013 | up 392.2% | volatile |
| 40 | Ireland | 18,918 t | 2013 | up 36.2% | volatile |
| 41 | Israel | 17,475 t | 2013 | up 23.9% | volatile |
| 42 | Saudi Arabia | 17,306 t | 2013 | up 903.2% | volatile |
| 43 | Latvia | 16,379 t | 2013 | up 818.6% | volatile |
| 44 | South Africa | 14,672 t | 2013 | up 63.0% | volatile |
| 45 | Lithuania | 13,789 t | 2013 | up 2,198.2% | volatile |
| 46 | Australia and New Zealand | 13,774 t | 2013 | up 80.8% | volatile |
| 47 | Czechia | 12,392 t | 2013 | up 605.7% | volatile |
| 48 | Togo | 12,245 t | 2013 | up 81,533.3% | volatile |
| 49 | Malaysia | 11,592 t | 2013 | up 958.6% | volatile |
| 50 | Portugal | 11,266 t | 2013 | down 36.7% | volatile |
| 51 | Sri Lanka | 10,774 t | 2013 | down 19.2% | volatile |
| 52 | Ecuador | 10,318 t | 2013 | up 4,836.8% | volatile |
| 53 | Slovakia | 9,855 t | 2013 | up 72.0% | volatile |
| 54 | Madagascar | 9,186 t | 2013 | up 1,418.3% | volatile |
| 55 | Sierra Leone | 8,316 t | 2013 | up 1,025.3% | volatile |
| 56 | Australia | 8,263 t | 2013 | up 22.6% | volatile |
| 57 | Nepal | 7,771 t | 2013 | up 40,800.0% | volatile |
| 58 | Guinea | 6,760 t | 2013 | up 61,354.5% | volatile |
| 59 | Jordan | 6,556 t | 2013 | up 52.7% | volatile |
| 60 | Zambia | 6,399 t | 2013 | up 1,464.5% | volatile |
| 61 | C�te d'Ivoire | 6,376 t | 2013 | up 90.9% | volatile |
| 62 | Uruguay | 6,029 t | 2013 | up 111.2% | volatile |
| 63 | Georgia | 5,935 t | 2013 | up 142.4% | volatile |
| 64 | Burkina Faso | 5,907 t | 2013 | up 2,609.6% | volatile |
| 65 | New Zealand | 5,511 t | 2013 | up 527.0% | volatile |
| 66 | Bulgaria | 4,981 t | 2013 | up 39.4% | volatile |
| 67 | Slovenia | 4,534 t | 2013 | down 12.9% | falling |
| 68 | Trinidad and Tobago | 4,172 t | 2013 | down 60.1% | volatile |
| 69 | Albania | 3,699 t | 2013 | up 289.8% | volatile |
| 70 | Tunisia | 3,498 t | 2013 | up 28.8% | volatile |
| 71 | Algeria | 3,385 t | 2013 | up 18.5% | volatile |
| 72 | Lebanon | 3,365 t | 2013 | up 368.0% | volatile |
| 73 | Estonia | 3,198 t | 2013 | down 30.9% | volatile |
| 74 | Croatia | 3,083 t | 2013 | up 197.0% | volatile |
| 75 | Malawi | 3,049 t | 2013 | up 4,898.4% | volatile |
| 76 | Congo | 2,722 t | 2013 | up 1,274.8% | volatile |
| 76 | Kenya | 2,722 t | 2013 | up 414.6% | volatile |
| 78 | Rwanda | 2,065 t | 2013 | up 4,389.1% | volatile |
| 79 | Benin | 1,013 t | 2013 | up 513.9% | volatile |
| 80 | Argentina | 985 t | 2013 | down 14.5% | volatile |
| 81 | Luxembourg | 983 t | 2013 | down 12.2% | rising |
| 82 | Botswana | 961 t | 2013 | up 234.8% | volatile |
| 83 | Serbia | 903 t | 2013 | down 51.6% | falling |
| 84 | Haiti | 865 t | 2013 | up 1,959.5% | volatile |
| 85 | Oman | 818 t | 2013 | up 990.7% | volatile |
| 86 | Honduras | 778 t | 2013 | down 11.8% | volatile |
| 87 | Morocco | 764 t | 2013 | up 363.0% | volatile |
| 88 | Namibia | 763 t | 2013 | up 2,019.4% | volatile |
| 89 | Egypt | 745 t | 2013 | up 3,286.4% | volatile |
| 90 | China, Hong Kong SAR | 700 t | 2013 | up 14.2% | volatile |
| 91 | Panama | 694 t | 2013 | up 951.5% | volatile |
| 92 | North Macedonia | 634 t | 2013 | up 391.5% | volatile |
| 93 | Iceland | 612 t | 2013 | up 135.4% | volatile |
| 94 | China, Macao SAR | 600 t | 2013 | up 76.0% | volatile |
| 95 | Kuwait | 550 t | 2013 | — | volatile |
| 96 | Mali | 540 t | 2013 | up 155.9% | volatile |
| 97 | Gabon | 527 t | 2013 | up 346.6% | volatile |
| 98 | Armenia | 516 t | 2013 | up 296.9% | volatile |
| 99 | Serbia and Montenegro | 489 t | 2005 | — | volatile |
| 100 | Nicaragua | 466 t | 2013 | down 2.5% | volatile |
| 101 | Azerbaijan | 426 t | 2013 | down 54.2% | volatile |
| 101 | Zimbabwe | 426 t | 2013 | down 63.4% | volatile |
| 103 | Indonesia | 359 t | 2013 | up 1,789.5% | volatile |
| 104 | Mauritius | 334 t | 2013 | up 4,075.0% | volatile |
| 105 | Yemen | 322 t | 2013 | — | volatile |
| 106 | Cyprus | 303 t | 2013 | down 26.5% | volatile |
| 107 | Myanmar | 300 t | 2013 | down 62.8% | volatile |
| 108 | China, mainland | 275 t | 2013 | down 93.7% | volatile |
| 109 | Bahamas | 249 t | 2013 | down 86.7% | volatile |
| 110 | Eswatini | 248 t | 2013 | up 34.1% | volatile |
| 111 | Sudan (former) | 232 t | 2011 | up 1,557.1% | volatile |
| 112 | Bosnia and Herzegovina | 179 t | 2013 | down 61.6% | volatile |
| 113 | Malta | 139 t | 2013 | down 40.9% | volatile |
| 114 | Senegal | 126 t | 2013 | down 93.1% | volatile |
| 115 | Dominica | 103 t | 2013 | down 49.0% | volatile |
| 115 | New Caledonia | 103 t | 2013 | up 43.1% | volatile |
| 117 | Guyana | 102 t | 2013 | down 59.2% | volatile |
| 118 | Bangladesh | 100 t | 2013 | up 53.8% | volatile |
| 118 | Tajikistan | 100 t | 2013 | up 9,900.0% | volatile |
| 120 | Guatemala | 95 t | 2013 | down 58.9% | volatile |
| 120 | Suriname | 95 t | 2013 | — | volatile |
| 122 | Solomon Islands | 82 t | 2013 | up 4,000.0% | volatile |
| 123 | Russian Federation | 64 t | 2013 | — | volatile |
| 124 | Belarus | 63 t | 2013 | — | volatile |
| 125 | Cuba | 62 t | 2013 | up 1,140.0% | volatile |
| 126 | Montenegro | 51 t | 2013 | down 15.0% | falling |
| 127 | Kazakhstan | 50 t | 2013 | — | volatile |
| 128 | Samoa | 35 t | 2013 | down 5.4% | volatile |
| 129 | Saint Vincent and the Grenadines | 34 t | 2013 | up 3,300.0% | volatile |
| 130 | Saint Kitts and Nevis | 29 t | 2013 | up 7.4% | volatile |
| 131 | Cambodia | 27 t | 2013 | up 92.9% | volatile |
| 132 | Niger | 25 t | 2013 | up 2,400.0% | volatile |
| 132 | Paraguay | 25 t | 2013 | down 77.9% | volatile |
| 134 | Gambia | 14 t | 2013 | down 30.0% | volatile |
| 135 | Grenada | 11 t | 2013 | down 82.5% | volatile |
| 135 | French Polynesia | 11 t | 2013 | down 38.9% | volatile |
| 137 | Saint Lucia | 6 t | 2013 | down 92.1% | volatile |
| 137 | Sao Tome and Principe | 6 t | 2013 | — | volatile |
| 139 | Barbados | 3 t | 2013 | unchanged | 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 | Fiji | 1 t | 2013 | down 50.0% | volatile |
| 141 | Mauritania | 1 t | 2013 | down 98.9% | volatile |
| 141 | Pakistan | 1 t | 2013 | down 85.7% | volatile |
| 141 | Chad | 1 t | 2013 | down 90.0% | volatile |
| 141 | Ukraine | 1 t | 2013 | down 100.0% | volatile |
| 149 | Central African Republic | 0 t | 2013 | down 100.0% | volatile |
| 149 | Kyrgyzstan | 0 t | 2013 | — | volatile |
| 149 | Kiribati | 0 t | 2013 | down 100.0% | volatile |
| 149 | Mongolia | 0 t | 2013 | — | volatile |
| 149 | Vanuatu | 0 t | 2013 | down 100.0% | volatile |
| 149 | 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 9.93 million t
- Asia 1.60 million t
- Americas 4.04 million t
- Land Locked Developing Countries 51,076 t
- Europe 3.86 million t
- Middle Africa 26,898 t
- Northern America 3.17 million t
- European Union (27) 3.09 million t
- Western Europe 2.12 million t
- United States of America 2.05 million t
- Northern Europe 1.16 million t
- Eastern Asia 891,498 t
- Net Food Importing Developing Countries 631,976 t
- Low Income Food Deficit Countries 417,545 t
- Africa 409,222 t
- Southern Europe 380,262 t
- Western Asia 359,783 t
- South America 354,038 t
- Small Island Developing States 298,986 t
- South-Eastern Asia 297,673 t
- Western Africa 236,276 t
- Central America 220,888 t
- Eastern Europe 209,612 t
- Least developed countries 161,951 t
- Eastern Africa 120,543 t
- Southern Asia 53,594 t
- Southern Africa 16,644 t
- Oceania 14,006 t
- Northern Africa 8,861 t
- Central Asia 150 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.