Wine — Stock Variation by country

A 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
132
Highest
306 1000 t
United States
Lowest
-650 1000 t
Spain
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,986

What the numbers show

Wine — Stock Variation is currently reported for 132 countries. The highest value is 306 1000 t in United States; the lowest is -650 1000 t in Spain.

The median across all reporting countries is 0 1000 t, and the mean is 2.58 1000 t.

Over the past decade 39 countries rose and 32 fell. The largest increase was in Portugal (up 5,900.0%), and the largest decrease in North Macedonia (down 560.0%).

Wine — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 United States 306 1000 t 2023 — volatile
2 Netherlands (Kingdom of the) 203 1000 t 2023 up 2,355.6% volatile
3 France 145 1000 t 2023 up 3,000.0% volatile
4 Portugal 116 1000 t 2023 up 5,900.0% volatile
5 Australia and New Zealand 46 1000 t 2023 up 4,500.0% volatile
6 Czechia 44 1000 t 2023 — volatile
7 Italy 33 1000 t 2023 down 89.8% volatile
8 Australia 24 1000 t 2023 up 71.4% volatile
9 New Zealand 22 1000 t 2023 up 269.2% volatile
10 Croatia 18 1000 t 2023 — volatile
11 Morocco 10 1000 t 2023 — volatile
12 Argentina 8 1000 t 2023 down 87.3% volatile
13 Hungary 7 1000 t 2023 down 84.8% volatile
14 Bulgaria 5 1000 t 2023 up 400.0% volatile
14 Belarus 5 1000 t 2023 up 66.7% volatile
16 China 3 1000 t 2023 up 101.8% volatile
16 Georgia 3 1000 t 2023 down 66.7% volatile
16 Vietnam 3 1000 t 2023 up 200.0% volatile
16 Viet Nam 3 1000 t 2023 up 200.0% volatile
16 China, Taiwan Province of 3 1000 t 2023 up 400.0% volatile
21 Armenia 1 1000 t 2023 unchanged volatile
21 Brazil 1 1000 t 2023 up 106.2% volatile
21 Colombia 1 1000 t 2023 down 66.7% volatile
21 Egypt 1 1000 t 2023 — volatile
21 Guatemala 1 1000 t 2023 unchanged volatile
21 Iceland 1 1000 t 2023 — volatile
21 Israel 1 1000 t 2023 down 50.0% volatile
21 Myanmar 1 1000 t 2023 unchanged volatile
21 Peru 1 1000 t 2023 up 150.0% flat
21 Russia 1 1000 t 2023 up 100.5% volatile
21 Sweden 1 1000 t 2023 — volatile
21 Democratic Republic of the Congo 1 1000 t 2023 unchanged volatile
21 Republic of Korea 1 1000 t 2023 down 66.7% volatile
21 Russian Federation 1 1000 t 2023 up 100.5% volatile
21 China, Macao SAR 1 1000 t 2023 — volatile
36 Angola 0 1000 t 2023 — volatile
36 Albania 0 1000 t 2023 down 100.0% volatile
36 Antigua and Barbuda 0 1000 t 2023 — volatile
36 Austria 0 1000 t 2023 up 100.0% volatile
36 Azerbaijan 0 1000 t 2023 — volatile
36 Belgium 0 1000 t 2023 up 100.0% volatile
36 Burkina Faso 0 1000 t 2023 — volatile
36 Bahrain 0 1000 t 2023 — volatile
36 Bahamas 0 1000 t 2023 — volatile
36 Barbados 0 1000 t 2023 up 100.0% volatile
36 Canada 0 1000 t 2023 up 100.0% volatile
36 Switzerland 0 1000 t 2023 up 100.0% volatile
36 Chile 0 1000 t 2023 down 100.0% volatile
36 Cote d'Ivoire 0 1000 t 2023 up 100.0% volatile
36 Cameroon 0 1000 t 2023 — volatile
36 Congo 0 1000 t 2023 down 100.0% flat
36 Costa Rica 0 1000 t 2023 — volatile
36 Germany 0 1000 t 2023 up 100.0% volatile
36 Denmark 0 1000 t 2023 down 100.0% volatile
36 Dominican Republic 0 1000 t 2023 down 100.0% volatile
36 Algeria 0 1000 t 2023 up 100.0% volatile
36 Ecuador 0 1000 t 2023 — volatile
36 Estonia 0 1000 t 2023 down 100.0% volatile
36 Ethiopia 0 1000 t 2023 up 100.0% volatile
36 Finland 0 1000 t 2023 up 100.0% volatile
36 Fiji 0 1000 t 2023 — volatile
36 Gabon 0 1000 t 2023 — volatile
36 United Kingdom 0 1000 t 2023 — volatile
36 Ghana 0 1000 t 2023 down 100.0% volatile
36 Guinea 0 1000 t 2023 — volatile
36 Greece 0 1000 t 2023 — volatile
36 Grenada 0 1000 t 2023 — volatile
36 Haiti 0 1000 t 2023 up 100.0% volatile
36 Indonesia 0 1000 t 2023 — volatile
36 India 0 1000 t 2023 — flat
36 Ireland 0 1000 t 2023 — volatile
36 Jamaica 0 1000 t 2023 — volatile
36 Kazakhstan 0 1000 t 2023 down 100.0% volatile
36 Kenya 0 1000 t 2023 — volatile
36 Kyrgyzstan 0 1000 t 2023 — volatile
36 Lebanon 0 1000 t 2023 down 100.0% volatile
36 Liberia 0 1000 t 2023 — volatile
36 Saint Lucia 0 1000 t 2023 — volatile
36 Lithuania 0 1000 t 2023 — volatile
36 Luxembourg 0 1000 t 2023 — volatile
36 Latvia 0 1000 t 2023 — volatile
36 Maldives 0 1000 t 2023 — volatile
36 Mexico 0 1000 t 2023 down 100.0% volatile
36 Malta 0 1000 t 2023 up 100.0% volatile
36 Montenegro 0 1000 t 2023 — volatile
36 Mongolia 0 1000 t 2023 — volatile
36 Mozambique 0 1000 t 2023 down 100.0% volatile
36 Mauritius 0 1000 t 2023 — volatile
36 Malawi 0 1000 t 2023 — volatile
36 Malaysia 0 1000 t 2023 — flat
36 Namibia 0 1000 t 2023 down 100.0% volatile
36 New Caledonia 0 1000 t 2023 down 100.0% volatile
36 Nigeria 0 1000 t 2023 down 100.0% volatile
36 Nicaragua 0 1000 t 2023 — volatile
36 Norway 0 1000 t 2023 — volatile
36 Panama 0 1000 t 2023 up 100.0% volatile
36 Philippines 0 1000 t 2023 up 100.0% volatile
36 Poland 0 1000 t 2023 down 100.0% volatile
36 Paraguay 0 1000 t 2023 — volatile
36 French Polynesia 0 1000 t 2023 — volatile
36 Qatar 0 1000 t 2023 — volatile
36 Romania 0 1000 t 2023 down 100.0% volatile
36 Senegal 0 1000 t 2023 — flat
36 Slovenia 0 1000 t 2023 — volatile
36 Eswatini 0 1000 t 2023 down 100.0% volatile
36 Seychelles 0 1000 t 2023 — volatile
36 Thailand 0 1000 t 2023 down 100.0% volatile
36 Turkmenistan 0 1000 t 2023 — volatile
36 Tunisia 0 1000 t 2023 down 100.0% volatile
36 Turkey 0 1000 t 2023 up 100.0% volatile
36 Ukraine 0 1000 t 2023 — volatile
36 Uruguay 0 1000 t 2023 — volatile
36 Uzbekistan 0 1000 t 2023 — volatile
36 South Africa 0 1000 t 2023 up 100.0% flat
36 Zambia 0 1000 t 2023 — volatile
36 Cabo Verde 0 1000 t 2023 up 100.0% volatile
36 Melanesia 0 1000 t 2023 down 100.0% volatile
36 Polynesia 0 1000 t 2023 — volatile
36 Caribbean 0 1000 t 2023 down 100.0% volatile
36 Bolivia (Plurinational State of) 0 1000 t 2023 — volatile
36 Türkiye 0 1000 t 2023 up 100.0% volatile
36 China, mainland 0 1000 t 2023 up 100.0% volatile
36 Côte d'Ivoire 0 1000 t 2023 up 100.0% volatile
36 United Republic of Tanzania 0 1000 t 2023 down 100.0% volatile
36 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 — volatile
186 Cyprus -1 1000 t 2023 — volatile
186 Slovakia -1 1000 t 2023 up 83.3% volatile
186 China, Hong Kong SAR -1 1000 t 2023 down 200.0% volatile
189 Moldova -3 1000 t 2023 up 50.0% volatile
189 Republic of Moldova -3 1000 t 2023 up 50.0% volatile
191 North Macedonia -23 1000 t 2023 down 560.0% volatile
192 Spain -650 1000 t 2023 down 158.3% 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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Wine — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/wine-stock-variation/

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About this data

Indicator
Wine — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
222 places, 2,986 data points, 2010–2023
Last refreshed

A 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 capita 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.