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
145
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 145 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 -10,592 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 Serbia and Montenegro 65,000 t 2005 — volatile
3 Austria 43,550 t 2013 up 534.5% volatile
4 Canada 40,000 t 2013 — flat
5 Costa Rica 29,000 t 2013 — flat
6 Switzerland 24,500 t 2013 — volatile
7 Lao People's Democratic Republic 22,500 t 2013 — flat
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
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 Caribbean 3,300 t 2013 up 141.6% volatile
23 Zimbabwe 3,000 t 2013 down 73.2% volatile
24 Armenia 2,500 t 2013 — flat
25 Saint Vincent and the Grenadines 2,000 t 2013 — flat
25 Cabo Verde 2,000 t 2013 up 200.0% volatile
27 Peru 1,500 t 2013 — flat
28 Panama 1,200 t 2013 up 429.7% volatile
29 New Zealand 700 t 2013 up 109.0% volatile
30 Republic of Moldova 500 t 2013 down 98.0% volatile
31 Senegal 435 t 2013 up 514.3% volatile
32 Saint Kitts and Nevis 300 t 2013 up 146.2% volatile
33 Mauritius 140 t 2013 up 146.7% volatile
34 Cambodia 40 t 2013 — flat
35 Angola 0 t 2013 — volatile
35 Argentina 0 t 2013 down 100.0% volatile
35 Azerbaijan 0 t 2013 up 100.0% volatile
35 Belgium 0 t 2013 up 100.0% volatile
35 Bangladesh 0 t 2013 — flat
35 Bulgaria 0 t 2013 down 100.0% volatile
35 Bahamas 0 t 2013 up 100.0% volatile
35 Bosnia and Herzegovina 0 t 2013 down 100.0% volatile
35 Belarus 0 t 2013 — flat
35 Belize 0 t 2013 down 100.0% flat
35 Brazil 0 t 2013 — flat
35 Botswana 0 t 2013 — volatile
35 Cameroon 0 t 2013 — volatile
35 Colombia 0 t 2013 — flat
35 Cuba 0 t 2013 — flat
35 Czechia 0 t 2013 — flat
35 Djibouti 0 t 2013 — flat
35 Dominica 0 t 2013 — volatile
35 Algeria 0 t 2013 — volatile
35 Egypt 0 t 2013 down 100.0% flat
35 Ethiopia 0 t 2013 up 100.0% flat
35 Finland 0 t 2013 up 100.0% flat
35 Fiji 0 t 2013 — flat
35 France 0 t 2013 down 100.0% volatile
35 Gabon 0 t 2013 down 100.0% flat
35 Gambia 0 t 2013 down 100.0% flat
35 Greece 0 t 2013 up 100.0% volatile
35 Grenada 0 t 2013 — flat
35 Guatemala 0 t 2013 — flat
35 Honduras 0 t 2013 — flat
35 Indonesia 0 t 2013 — volatile
35 India 0 t 2013 — volatile
35 Iraq 0 t 2013 — flat
35 Iceland 0 t 2013 — flat
35 Jamaica 0 t 2013 down 100.0% flat
35 Kazakhstan 0 t 2013 — volatile
35 Kenya 0 t 2013 up 100.0% flat
35 Kiribati 0 t 2013 down 100.0% flat
35 Kuwait 0 t 2013 — flat
35 Lebanon 0 t 2013 down 100.0% volatile
35 Liberia 0 t 2013 — flat
35 Lithuania 0 t 2013 — flat
35 Luxembourg 0 t 2013 up 100.0% volatile
35 Latvia 0 t 2013 — flat
35 Mali 0 t 2013 up 100.0% flat
35 Malta 0 t 2013 — flat
35 Myanmar 0 t 2013 — flat
35 Mongolia 0 t 2013 — flat
35 Mozambique 0 t 2013 — flat
35 Malawi 0 t 2013 — flat
35 Niger 0 t 2013 — flat
35 Norway 0 t 2013 — flat
35 Poland 0 t 2013 down 100.0% flat
35 Paraguay 0 t 2013 — flat
35 French Polynesia 0 t 2013 — flat
35 Rwanda 0 t 2013 — flat
35 Saudi Arabia 0 t 2013 — flat
35 Solomon Islands 0 t 2013 — flat
35 Serbia 0 t 2013 — flat
35 Sao Tome and Principe 0 t 2013 up 100.0% flat
35 Suriname 0 t 2013 up 100.0% flat
35 Sweden 0 t 2013 — flat
35 Eswatini 0 t 2013 down 100.0% flat
35 Togo 0 t 2013 — flat
35 Thailand 0 t 2013 up 100.0% volatile
35 Turkmenistan 0 t 2013 down 100.0% flat
35 Uruguay 0 t 2013 — volatile
35 Uzbekistan 0 t 2013 — flat
35 Vanuatu 0 t 2013 up 100.0% volatile
35 Samoa 0 t 2013 — volatile
35 Micronesia 0 t 2013 down 100.0% flat
35 Melanesia 0 t 2013 up 100.0% volatile
35 Polynesia 0 t 2013 — volatile
35 Bolivia (Plurinational State of) 0 t 2013 down 100.0% flat
35 China, Hong Kong SAR 0 t 2013 — flat
35 Iran (Islamic Republic of) 0 t 2013 — flat
35 Russian Federation 0 t 2013 — flat
35 Venezuela (Bolivarian Republic of) 0 t 2013 down 100.0% volatile
35 China, mainland 0 t 2013 — flat
35 United Republic of Tanzania 0 t 2013 down 100.0% flat
35 Netherlands (Kingdom of the) 0 t 2013 up 100.0% volatile
35 United Kingdom of Great Britain and Northern Ireland 0 t 2013 up 100.0% volatile
35 C�te d'Ivoire 0 t 2013 up 100.0% flat
35 China, Macao SAR 0 t 2013 up 100.0% flat
35 Netherlands Antilles (former) 0 t 2010 — volatile
120 Bermuda -100 t 2013 down 111.1% volatile
120 Saint Lucia -100 t 2013 up 95.6% volatile
122 United Arab Emirates -500 t 2013 down 66.7% volatile
123 Antigua and Barbuda -1,400 t 2013 down 26.1% volatile
124 Barbados -2,000 t 2013 down 11.1% volatile
125 Cyprus -2,902 t 2013 down 179.3% volatile
126 North Macedonia -5,000 t 2013 up 50.0% volatile
127 Denmark -5,969 t 2013 down 167.5% volatile
128 Republic of Korea -7,000 t 2013 — flat
129 Georgia -10,000 t 2013 down 312.8% volatile
129 Ireland -10,000 t 2013 down 162.9% volatile
131 Belgium-Luxembourg -14,000 t 1999 down 1,300.0% volatile
132 Albania -15,000 t 2013 — volatile
132 Benin -15,000 t 2013 down 14,900.0% volatile
134 Malaysia -15,300 t 2013 — volatile
135 Hungary -21,347 t 2013 up 18.4% volatile
136 Namibia -22,000 t 2013 down 540.0% volatile
137 China, Taiwan Province of -30,000 t 2013 down 175.0% volatile
138 Australia and New Zealand -66,122 t 2013 down 209.9% volatile
139 Australia -66,822 t 2013 down 198.4% volatile
140 Congo -70,000 t 2013 — volatile
141 Romania -80,000 t 2013 down 90.5% volatile
142 Chile -103,805 t 2013 down 149.3% volatile
143 Yugoslav SFR -106,280 t 1991 down 164.4% volatile
144 Italy -321,877 t 2013 down 164.5% volatile
145 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.

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.