Statizoid

Alcoholic Beverages — Stock Variation 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
147
Highest
180,000 t
Pakistan
Lowest
-1.09 million t
Spain
Median
0 t
Years covered
53
1961–2013
Data points
8,536

What the numbers show

Alcoholic Beverages — Stock Variation is currently reported for 147 countries. The highest value is 180,000 t in Pakistan; the lowest is -1.09 million t in Spain.

The median across all reporting countries is 0 t, and the mean is -9,761 t.

Over the past decade 38 countries rose and 40 fell. The largest increase was in Zambia (up 14,385.7%), and the largest decrease in Benin (down 14,900.0%).

Alcoholic Beverages — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Pakistan 180,000 t 2013 up 6,100.0% volatile
2 South Africa 101,000 t 2013 — volatile
3 Serbia and Montenegro 65,000 t 2005 — volatile
3 Lao People's Democratic Republic 22,500 t 2013 — flat
4 Austria 43,550 t 2013 up 534.5% volatile
4 Republic of Moldova 500 t 2013 down 98.0% volatile
5 Canada 40,000 t 2013 — flat
5 Micronesia 0 t 2013 down 100.0% flat
5 Melanesia 0 t 2013 up 100.0% volatile
5 Polynesia 0 t 2013 — volatile
5 Bolivia (Plurinational State of) 0 t 2013 down 100.0% flat
5 Iran (Islamic Republic of) 0 t 2013 — flat
5 Venezuela (Bolivarian Republic of) 0 t 2013 down 100.0% volatile
5 United Republic of Tanzania 0 t 2013 down 100.0% flat
6 Costa Rica 29,000 t 2013 — flat
7 Switzerland 24,500 t 2013 — volatile
8 Portugal 20,215 t 2013 down 75.3% volatile
9 Guyana 17,300 t 2013 up 1,797.7% volatile
10 El Salvador 15,000 t 2013 — flat
11 Czechoslovakia 12,939 t 1992 up 122.5% volatile
12 Slovakia 12,418 t 2013 up 520.2% volatile
13 Tunisia 12,000 t 2013 up 200.0% flat
14 Estonia 6,000 t 2013 — volatile
15 Germany 5,000 t 2013 — flat
15 Croatia 5,000 t 2013 — volatile
15 Morocco 5,000 t 2013 up 10,100.0% flat
15 Zambia 5,000 t 2013 up 14,385.7% flat
16 Caribbean 3,300 t 2013 up 141.6% volatile
17 Cabo Verde 2,000 t 2013 up 200.0% volatile
19 Trinidad and Tobago 4,500 t 2013 up 1,000.0% volatile
20 Lesotho 4,000 t 2013 up 166.7% flat
20 Slovenia 4,000 t 2013 — volatile
22 Zimbabwe 3,000 t 2013 down 73.2% volatile
23 Armenia 2,500 t 2013 — flat
24 Saint Vincent and the Grenadines 2,000 t 2013 — flat
25 Peru 1,500 t 2013 — flat
26 Panama 1,200 t 2013 up 429.7% volatile
27 New Zealand 700 t 2013 up 109.0% volatile
28 Senegal 435 t 2013 up 514.3% volatile
29 Saint Kitts and Nevis 300 t 2013 up 146.2% volatile
30 Mauritius 140 t 2013 up 146.7% volatile
31 Cambodia 40 t 2013 — flat
32 Angola 0 t 2013 — volatile
32 Argentina 0 t 2013 down 100.0% volatile
32 Azerbaijan 0 t 2013 up 100.0% volatile
32 Belgium 0 t 2013 up 100.0% volatile
32 Bangladesh 0 t 2013 — flat
32 Bulgaria 0 t 2013 down 100.0% volatile
32 Bahamas 0 t 2013 up 100.0% volatile
32 Bosnia and Herzegovina 0 t 2013 down 100.0% volatile
32 Belarus 0 t 2013 — flat
32 Belize 0 t 2013 down 100.0% flat
32 Brazil 0 t 2013 — flat
32 Botswana 0 t 2013 — volatile
32 Central African Republic 0 t 2013 — flat
32 Cameroon 0 t 2013 — volatile
32 Colombia 0 t 2013 — flat
32 Cuba 0 t 2013 — flat
32 Czechia 0 t 2013 — flat
32 Djibouti 0 t 2013 — flat
32 Dominica 0 t 2013 — volatile
32 Algeria 0 t 2013 — volatile
32 Egypt 0 t 2013 down 100.0% flat
32 Ethiopia 0 t 2013 up 100.0% flat
32 Finland 0 t 2013 up 100.0% flat
32 Fiji 0 t 2013 — flat
32 France 0 t 2013 down 100.0% volatile
32 Gabon 0 t 2013 down 100.0% flat
32 Gambia 0 t 2013 down 100.0% flat
32 Greece 0 t 2013 up 100.0% volatile
32 Grenada 0 t 2013 — flat
32 Guatemala 0 t 2013 — flat
32 Honduras 0 t 2013 — flat
32 Indonesia 0 t 2013 — volatile
32 India 0 t 2013 — volatile
32 Iraq 0 t 2013 — flat
32 Iceland 0 t 2013 — flat
32 Jamaica 0 t 2013 down 100.0% flat
32 Kazakhstan 0 t 2013 — volatile
32 Kenya 0 t 2013 up 100.0% flat
32 Kiribati 0 t 2013 down 100.0% flat
32 Kuwait 0 t 2013 — flat
32 Lebanon 0 t 2013 down 100.0% volatile
32 Liberia 0 t 2013 — flat
32 Lithuania 0 t 2013 — flat
32 Luxembourg 0 t 2013 up 100.0% volatile
32 Latvia 0 t 2013 — flat
32 Mali 0 t 2013 up 100.0% flat
32 Malta 0 t 2013 — flat
32 Myanmar 0 t 2013 — flat
32 Mongolia 0 t 2013 — flat
32 Mozambique 0 t 2013 — flat
32 Malawi 0 t 2013 — flat
32 Niger 0 t 2013 — flat
32 Norway 0 t 2013 — flat
32 Poland 0 t 2013 down 100.0% flat
32 Paraguay 0 t 2013 — flat
32 French Polynesia 0 t 2013 — flat
32 Rwanda 0 t 2013 — flat
32 Saudi Arabia 0 t 2013 — flat
32 Solomon Islands 0 t 2013 — flat
32 Serbia 0 t 2013 — flat
32 Sao Tome and Principe 0 t 2013 up 100.0% flat
32 Suriname 0 t 2013 up 100.0% flat
32 Sweden 0 t 2013 — flat
32 Eswatini 0 t 2013 down 100.0% flat
32 Togo 0 t 2013 — flat
32 Thailand 0 t 2013 up 100.0% volatile
32 Turkmenistan 0 t 2013 down 100.0% flat
32 Uruguay 0 t 2013 — volatile
32 Uzbekistan 0 t 2013 — flat
32 Vanuatu 0 t 2013 up 100.0% volatile
32 Samoa 0 t 2013 — volatile
32 China, Hong Kong SAR 0 t 2013 — flat
32 Russian Federation 0 t 2013 — flat
32 China, mainland 0 t 2013 — flat
32 Netherlands (Kingdom of the) 0 t 2013 up 100.0% volatile
32 United Kingdom of Great Britain and Northern Ireland 0 t 2013 up 100.0% volatile
32 C�te d'Ivoire 0 t 2013 up 100.0% flat
32 China, Macao SAR 0 t 2013 up 100.0% flat
32 Netherlands Antilles (former) 0 t 2010 — volatile
111 Bermuda -100 t 2013 down 111.1% volatile
111 Saint Lucia -100 t 2013 up 95.6% volatile
113 United Arab Emirates -500 t 2013 down 66.7% volatile
114 Antigua and Barbuda -1,400 t 2013 down 26.1% volatile
115 Barbados -2,000 t 2013 down 11.1% volatile
116 Cyprus -2,902 t 2013 down 179.3% volatile
117 North Macedonia -5,000 t 2013 up 50.0% volatile
118 Denmark -5,969 t 2013 down 167.5% volatile
119 Republic of Korea -7,000 t 2013 — flat
120 Georgia -10,000 t 2013 down 312.8% volatile
120 Ireland -10,000 t 2013 down 162.9% volatile
122 Belgium-Luxembourg -14,000 t 1999 down 1,300.0% volatile
123 Albania -15,000 t 2013 — volatile
123 Benin -15,000 t 2013 down 14,900.0% volatile
125 Malaysia -15,300 t 2013 — volatile
126 Hungary -21,347 t 2013 up 18.4% volatile
127 Namibia -22,000 t 2013 down 540.0% volatile
128 China, Taiwan Province of -30,000 t 2013 down 175.0% volatile
129 Australia and New Zealand -66,122 t 2013 down 209.9% volatile
130 Australia -66,822 t 2013 down 198.4% volatile
131 Congo -70,000 t 2013 — volatile
132 Romania -80,000 t 2013 down 90.5% volatile
133 Chile -103,805 t 2013 down 149.3% volatile
134 Yugoslav SFR -106,280 t 1991 down 164.4% volatile
135 Italy -321,877 t 2013 down 164.5% volatile
136 Spain -1.09 million t 2013 down 47.1% 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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Alcoholic Beverages — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/alcoholic-beverages-stock-variation/

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About this data

Indicator
Alcoholic Beverages — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
177 places, 8,536 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.