Statizoid

Alcohol, Non-Food — Export 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...

Countries reporting
128
Highest
2.32 million t
Brazil
Lowest
0 t
China, Macao SAR
Median
931.5 t
Years covered
53
1961–2013
Data points
7,560

What the numbers show

Alcohol, Non-Food — Export Quantity is currently reported for 128 countries. The highest value is 2.32 million t in Brazil; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 931.5 t, and the mean is 59,810 t.

Over the past decade 53 countries rose and 43 fell. The largest increase was in Slovakia (up 83,619.7%), and the largest decrease in Benin (down 100.0%).

Alcohol, Non-Food — Export Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 2.32 million t 2013 up 283.3% volatile
2 France 693,062 t 2013 up 129.5% volatile
3 Pakistan 572,400 t 2013 up 1,221.3% volatile
3 Bolivia (Plurinational State of) 128,308 t 2013 up 249.9% volatile
4 Netherlands (Kingdom of the) 491,575 t 2013 — volatile
4 Iran (Islamic Republic of) 9,049 t 2013 up 2,049.4% volatile
5 Belgium 465,683 t 2013 up 380.3% volatile
5 United Republic of Tanzania 2,693 t 2013 up 12,723.8% volatile
6 Hungary 316,136 t 2013 — volatile
6 Venezuela (Bolivarian Republic of) 1,475 t 2013 up 22.9% volatile
7 India 248,038 t 2013 up 3,220.5% volatile
7 Republic of Moldova 202 t 2013 up 288.5% volatile
8 Guatemala 188,251 t 2013 up 736.2% volatile
8 Melanesia 1 t 2013 — volatile
9 Spain 186,732 t 2013 up 407.3% volatile
10 South Africa 177,764 t 2013 up 7.3% volatile
11 Germany 164,638 t 2013 up 136.7% volatile
12 Peru 118,573 t 2013 up 1,414.7% volatile
13 Sweden 113,010 t 2013 up 3,169.0% volatile
14 Thailand 110,138 t 2013 up 64.9% volatile
15 Austria 100,325 t 2013 up 7,529.3% volatile
16 United Kingdom of Great Britain and Northern Ireland 98,504 t 2013 down 53.8% volatile
17 Jamaica 93,197 t 2013 — volatile
18 Russian Federation 73,208 t 2013 up 1,889.9% volatile
19 Costa Rica 72,878 t 2013 up 131.8% volatile
20 Caribbean 133,393 t 2013 up 1,276.2% volatile
20 Indonesia 67,994 t 2013 up 156.2% volatile
21 Slovakia 63,627 t 2013 up 83,619.7% volatile
22 Canada 58,329 t 2013 up 196.4% volatile
23 El Salvador 50,729 t 2013 up 106.6% volatile
24 China, mainland 46,104 t 2013 down 83.8% volatile
25 Italy 42,615 t 2013 down 53.1% volatile
26 Poland 40,201 t 2013 up 1,618.7% volatile
27 Cuba 38,644 t 2013 up 315.1% volatile
28 Czechia 33,365 t 2013 up 865.1% volatile
29 Australia and New Zealand 32,254 t 2013 down 27.7% volatile
30 Australia 32,205 t 2013 down 11.5% volatile
31 Bulgaria 28,180 t 2013 up 24,619.3% volatile
32 Romania 26,095 t 2013 up 5,214.7% volatile
33 Ecuador 20,852 t 2013 up 23.9% volatile
34 Lithuania 18,241 t 2013 — volatile
35 Egypt 17,931 t 2013 up 291.8% volatile
36 Kenya 17,124 t 2013 up 229.9% volatile
37 Eswatini 15,577 t 2013 down 83.3% volatile
38 Zimbabwe 13,517 t 2013 up 5.6% volatile
39 Belarus 11,165 t 2013 up 2,677.4% volatile
40 Paraguay 10,726 t 2013 up 76,514.3% volatile
41 Cambodia 9,567 t 2013 — volatile
42 Serbia and Montenegro 7,880 t 2005 — volatile
43 Argentina 7,324 t 2013 down 83.0% volatile
44 Nicaragua 6,630 t 2013 down 40.1% volatile
45 Denmark 6,445 t 2013 down 40.5% volatile
46 Latvia 6,107 t 2013 up 917.8% volatile
47 T�rkiye 5,338 t 2013 up 40,961.5% volatile
48 Mauritius 4,852 t 2013 up 97.1% volatile
49 Ireland 4,481 t 2013 up 728.3% volatile
50 Croatia 4,325 t 2013 up 170.8% volatile
51 Armenia 3,319 t 2013 — volatile
52 Mexico 3,195 t 2013 down 73.1% volatile
53 Philippines 2,733 t 2013 up 463.5% volatile
54 Ukraine 2,158 t 2013 down 96.7% volatile
55 Burkina Faso 1,520 t 2013 — volatile
56 Trinidad and Tobago 1,512 t 2013 up 1,525.8% volatile
57 Uganda 1,326 t 2013 — volatile
58 United Arab Emirates 1,182 t 2013 up 117.3% volatile
59 Malawi 993 t 2013 up 33,000.0% volatile
60 Portugal 870 t 2013 down 93.5% volatile
61 Madagascar 725 t 2013 — volatile
62 Switzerland 705 t 2013 up 37.4% volatile
63 C�te d'Ivoire 589 t 2013 up 4,107.1% volatile
64 Senegal 560 t 2013 up 67.7% volatile
65 Panama 525 t 2013 down 91.6% volatile
66 Republic of Korea 493 t 2013 down 68.2% volatile
67 Serbia 473 t 2013 down 94.3% volatile
68 Malaysia 366 t 2013 down 76.5% volatile
69 Mali 360 t 2013 down 51.3% volatile
70 Lebanon 278 t 2013 up 247.5% volatile
71 Ghana 246 t 2013 up 3,414.3% volatile
72 Chile 236 t 2013 down 63.7% volatile
73 Japan 217 t 2013 — volatile
74 China, Taiwan Province of 136 t 2013 up 156.6% volatile
75 Saudi Arabia 119 t 2013 down 33.5% volatile
76 Kazakhstan 108 t 2013 — volatile
77 Estonia 78 t 2013 down 95.0% volatile
78 North Macedonia 68 t 2013 down 96.1% volatile
79 Bosnia and Herzegovina 55 t 2013 up 400.0% volatile
80 Oman 54 t 2013 — volatile
81 New Zealand 49 t 2013 down 99.4% volatile
82 Rwanda 43 t 2013 — volatile
83 Barbados 40 t 2013 down 86.2% volatile
83 Georgia 40 t 2013 down 97.4% volatile
85 Israel 28 t 2013 down 84.1% volatile
86 Colombia 27 t 2013 down 91.4% volatile
87 Guyana 25 t 2013 down 98.1% volatile
87 Jordan 25 t 2013 down 85.9% volatile
89 Morocco 20 t 2013 down 99.1% volatile
90 Luxembourg 17 t 2013 down 63.0% volatile
91 Namibia 16 t 2013 up 77.8% volatile
91 Norway 16 t 2013 — volatile
91 Slovenia 16 t 2013 down 95.4% volatile
94 Greece 7 t 2013 down 88.3% volatile
95 Fiji 1 t 2013 — volatile
95 Uruguay 1 t 2013 — volatile
95 China, Hong Kong SAR 1 t 2013 down 99.1% volatile
98 Azerbaijan 0 t 2013 — volatile
98 Benin 0 t 2013 down 100.0% volatile
98 Bangladesh 0 t 2013 — volatile
98 Botswana 0 t 2013 down 100.0% volatile
98 Cameroon 0 t 2013 down 100.0% volatile
98 Cyprus 0 t 2013 — volatile
98 Djibouti 0 t 2013 — volatile
98 Algeria 0 t 2013 — volatile
98 Ethiopia 0 t 2013 — volatile
98 Finland 0 t 2013 down 100.0% volatile
98 Gambia 0 t 2013 — volatile
98 Honduras 0 t 2013 down 100.0% volatile
98 Haiti 0 t 2013 — volatile
98 Kyrgyzstan 0 t 2013 — volatile
98 Saint Lucia 0 t 2013 — volatile
98 Sri Lanka 0 t 2013 — volatile
98 Malta 0 t 2013 down 100.0% volatile
98 Mongolia 0 t 2013 down 100.0% volatile
98 Niger 0 t 2013 — volatile
98 Suriname 0 t 2013 — volatile
98 Togo 0 t 2013 — volatile
98 Tunisia 0 t 2013 down 100.0% volatile
98 Zambia 0 t 2013 down 100.0% volatile
98 China, Macao SAR 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.

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Alcohol, Non-Food — Export Quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/alcohol-non-food-export-quantity/

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About this data

Indicator
Alcohol, Non-Food — Export Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
158 places, 7,560 data points, 1961–2013
Last refreshed

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.