Wine — Domestic supply quantity 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
170
Highest
3,894 1000 t
France
Lowest
0 1000 t
Syrian Arab Republic
Median
9.5 1000 t
Years covered
14
2010–2023
Data points
3,034

What the numbers show

Wine — Domestic supply quantity is currently reported for 170 countries. The highest value is 3,894 1000 t in France; the lowest is 0 1000 t in Syrian Arab Republic.

The median across all reporting countries is 9.5 1000 t, and the mean is 180.12 1000 t.

Over the past decade 75 countries rose and 65 fell. The largest increase was in Madagascar (up 1,000.0%), and the largest decrease in Djibouti (down 100.0%).

Wine — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 France 3,894 1000 t 2023 up 16.9% falling
2 United States 2,914 1000 t 2023 down 25.9% falling
3 Italy 2,763 1000 t 2023 up 20.3% rising
4 China 2,054 1000 t 2023 down 6.1% rising
5 China, mainland 2,006 1000 t 2023 down 5.9% rising
6 Spain 1,508 1000 t 2023 down 14.6% falling
7 Germany 1,504 1000 t 2023 down 22.7% falling
8 United Kingdom 1,256 1000 t 2023 up 3.3% rising
8 United Kingdom of Great Britain and Northern Ireland 1,256 1000 t 2023 up 3.3% rising
10 Russia 890 1000 t 2023 down 36.4% falling
10 Russian Federation 890 1000 t 2023 down 36.4% falling
12 Argentina 680 1000 t 2023 down 39.0% falling
13 Portugal 604 1000 t 2023 up 22.5% flat
14 South Africa 568 1000 t 2023 up 9.0% rising
15 Belgium 563 1000 t 2023 up 64.6% rising
16 Netherlands (Kingdom of the) 529 1000 t 2023 up 49.0% rising
17 Australia and New Zealand 523 1000 t 2023 down 27.4% flat
18 Brazil 498 1000 t 2023 up 45.6% rising
19 Chile 454 1000 t 2023 up 35.9% rising
20 Australia 414 1000 t 2023 down 30.2% flat
20 Romania 414 1000 t 2023 down 8.0% flat
22 Switzerland 282 1000 t 2023 down 6.9% falling
23 Austria 257 1000 t 2023 down 9.2% falling
24 Canada 219 1000 t 2023 down 47.6% falling
25 Sweden 212 1000 t 2023 up 5.0% rising
26 Poland 194 1000 t 2023 up 60.3% rising
27 Hungary 186 1000 t 2023 down 22.5% falling
28 Czechia 185 1000 t 2023 up 10.8% falling
29 Denmark 144 1000 t 2023 down 5.3% flat
30 Greece 127 1000 t 2023 down 60.6% falling
31 Mexico 125 1000 t 2023 up 33.0% rising
32 Ukraine 121 1000 t 2023 down 17.7% falling
33 New Zealand 109 1000 t 2023 down 13.5% rising
34 Peru 93 1000 t 2023 up 13.4% rising
35 Ireland 91 1000 t 2023 up 16.7% rising
35 Norway 91 1000 t 2023 up 9.6% rising
37 Turkey 85 1000 t 2023 up 174.2% volatile
37 Türkiye 85 1000 t 2023 up 174.2% volatile
39 Belarus 82 1000 t 2023 up 3.8% rising
40 Cote d'Ivoire 77 1000 t 2023 up 165.5% rising
40 Côte d'Ivoire 77 1000 t 2023 up 165.5% rising
42 Bulgaria 69 1000 t 2023 down 16.9% falling
43 Croatia 58 1000 t 2023 down 1.7% rising
44 Caribbean 54 1000 t 2023 up 20.0% rising
45 Finland 53 1000 t 2023 down 19.7% falling
45 Morocco 53 1000 t 2023 up 39.5% rising
45 Turkmenistan 53 1000 t 2023 up 43.2% rising
48 United Arab Emirates 52 1000 t 2023 up 116.7% rising
48 Kazakhstan 52 1000 t 2023 up 18.2% rising
50 Luxembourg 51 1000 t 2023 up 70.0% rising
50 Uruguay 51 1000 t 2023 down 22.7% falling
52 Namibia 46 1000 t 2023 up 130.0% rising
53 Republic of Korea 42 1000 t 2023 up 40.0% rising
54 Georgia 36 1000 t 2023 down 34.5% falling
55 Angola 35 1000 t 2023 down 65.0% volatile
56 Serbia 34 1000 t 2023 down 2.9% rising
57 Latvia 33 1000 t 2023 up 266.7% volatile
58 Tunisia 32 1000 t 2023 up 33.3% rising
59 Moldova 29 1000 t 2023 down 31.0% rising
59 Republic of Moldova 29 1000 t 2023 down 31.0% rising
61 Lithuania 28 1000 t 2023 down 36.4% falling
62 Venezuela (Bolivarian Republic of) 27 1000 t 2023 up 145.5% volatile
63 Colombia 24 1000 t 2023 down 7.7% rising
64 Estonia 23 1000 t 2023 up 9.5% rising
64 Uzbekistan 23 1000 t 2023 down 20.7% falling
66 Slovakia 22 1000 t 2023 down 71.8% falling
67 China, Hong Kong SAR 21 1000 t 2023 down 32.3% falling
68 Dominican Republic 19 1000 t 2023 up 72.7% rising
68 Vietnam 19 1000 t 2023 up 90.0% volatile
68 Viet Nam 19 1000 t 2023 up 90.0% volatile
71 Costa Rica 18 1000 t 2023 up 63.6% rising
71 Nigeria 18 1000 t 2023 down 35.7% flat
71 Slovenia 18 1000 t 2023 down 25.0% falling
71 China, Taiwan Province of 18 1000 t 2023 up 5.9% rising
75 Cyprus 17 1000 t 2023 down 5.6% flat
76 Cuba 16 1000 t 2019 down 11.1% flat
77 North Macedonia 15 1000 t 2023 up 200.0% volatile
77 Paraguay 15 1000 t 2023 down 25.0% falling
79 Philippines 14 1000 t 2023 up 27.3% rising
80 Ecuador 12 1000 t 2023 up 140.0% rising
80 Guinea-Bissau 12 1000 t 2023 up 100.0% rising
82 Algeria 11 1000 t 2023 down 38.9% rising
82 Israel 11 1000 t 2023 up 120.0% rising
82 Madagascar 11 1000 t 2023 up 1,000.0% volatile
85 Kenya 10 1000 t 2023 up 66.7% rising
86 Burkina Faso 9 1000 t 2023 up 200.0% volatile
86 Bosnia and Herzegovina 9 1000 t 2023 up 12.5% flat
86 Cameroon 9 1000 t 2023 down 18.2% falling
86 China, Macao SAR 9 1000 t 2023 up 28.6% flat
90 Armenia 8 1000 t 2023 up 100.0% rising
90 Azerbaijan 8 1000 t 2023 up 166.7% rising
90 Botswana 8 1000 t 2023 up 60.0% rising
90 Malta 8 1000 t 2023 unchanged flat
90 Montenegro 8 1000 t 2023 down 38.5% falling
90 Malaysia 8 1000 t 2023 up 100.0% volatile
90 Panama 8 1000 t 2023 up 33.3% rising
97 Albania 7 1000 t 2023 down 63.2% falling
97 Egypt 7 1000 t 2023 up 40.0% rising
97 Cambodia 7 1000 t 2023 up 600.0% volatile
97 Cabo Verde 7 1000 t 2023 up 40.0% rising
97 Bolivia (Plurinational State of) 7 1000 t 2023 down 22.2% falling
97 United Republic of Tanzania 7 1000 t 2023 up 40.0% rising
103 Gabon 6 1000 t 2023 down 14.3% falling
103 India 6 1000 t 2023 up 100.0% rising
103 Senegal 6 1000 t 2023 unchanged falling
103 Melanesia 6 1000 t 2023 down 25.0% falling
107 Bahamas 5 1000 t 2023 up 66.7% rising
107 Guatemala 5 1000 t 2023 up 66.7% rising
107 Indonesia 5 1000 t 2023 — volatile
107 Iceland 5 1000 t 2023 up 25.0% rising
107 Democratic Republic of the Congo 5 1000 t 2023 down 16.7% falling
112 Congo 4 1000 t 2023 unchanged falling
112 Ghana 4 1000 t 2023 down 63.6% falling
112 Haiti 4 1000 t 2023 up 100.0% volatile
112 Lebanon 4 1000 t 2023 down 55.6% volatile
112 Liberia 4 1000 t 2023 — volatile
112 Lesotho 4 1000 t 2023 up 300.0% volatile
112 Mozambique 4 1000 t 2023 down 50.0% volatile
112 Mauritius 4 1000 t 2023 up 100.0% rising
112 El Salvador 4 1000 t 2023 up 100.0% rising
112 Thailand 4 1000 t 2023 down 42.9% falling
112 Trinidad and Tobago 4 1000 t 2023 up 33.3% rising
123 Barbados 3 1000 t 2023 down 25.0% falling
123 Kyrgyzstan 3 1000 t 2023 unchanged flat
123 Maldives 3 1000 t 2023 up 200.0% rising
123 Myanmar 3 1000 t 2023 unchanged volatile
123 Mongolia 3 1000 t 2023 down 25.0% volatile
123 New Caledonia 3 1000 t 2023 down 50.0% falling
123 Sao Tome and Principe 3 1000 t 2023 down 25.0% falling
123 Uganda 3 1000 t 2023 up 50.0% rising
123 Zambia 3 1000 t 2023 up 50.0% rising
123 Zimbabwe 3 1000 t 2023 down 25.0% falling
123 Polynesia 3 1000 t 2023 unchanged falling
134 Antigua and Barbuda 2 1000 t 2023 unchanged rising
134 Fiji 2 1000 t 2023 up 100.0% volatile
134 Guinea 2 1000 t 2023 up 100.0% volatile
134 Honduras 2 1000 t 2023 unchanged rising
134 Saint Lucia 2 1000 t 2023 up 100.0% rising
134 Sri Lanka 2 1000 t 2023 up 100.0% rising
134 Nicaragua 2 1000 t 2023 up 100.0% rising
134 French Polynesia 2 1000 t 2023 down 33.3% falling
134 Seychelles 2 1000 t 2023 unchanged rising
143 Bahrain 1 1000 t 2023 — rising
143 Belize 1 1000 t 2023 unchanged rising
143 Ethiopia 1 1000 t 2023 unchanged rising
143 Grenada 1 1000 t 2023 — volatile
143 Jordan 1 1000 t 2023 — volatile
143 Laos 1 1000 t 2023 down 50.0% falling
143 Nepal 1 1000 t 2023 unchanged falling
143 Oman 1 1000 t 2023 unchanged volatile
143 Papua New Guinea 1 1000 t 2023 unchanged volatile
143 Qatar 1 1000 t 2023 — flat
143 Rwanda 1 1000 t 2023 unchanged volatile
143 Sierra Leone 1 1000 t 2023 unchanged volatile
143 Suriname 1 1000 t 2023 unchanged falling
143 Eswatini 1 1000 t 2023 down 66.7% rising
143 Vanuatu 1 1000 t 2023 — volatile
143 Lao People's Democratic Republic 1 1000 t 2023 down 50.0% falling
159 Bhutan 0 1000 t 2023 — volatile
159 Djibouti 0 1000 t 2023 down 100.0% volatile
159 Gambia 0 1000 t 2023 down 100.0% volatile
159 Iraq 0 1000 t 2023 down 100.0% volatile
159 Jamaica 0 1000 t 2023 — volatile
159 Saint Kitts and Nevis 0 1000 t 2023 — volatile
159 Niger 0 1000 t 2023 down 100.0% volatile
159 Syria 0 1000 t 2023 — volatile
159 Tajikistan 0 1000 t 2023 — volatile
159 East Timor 0 1000 t 2023 down 100.0% volatile
159 Timor-Leste 0 1000 t 2023 down 100.0% volatile
159 Syrian Arab Republic 0 1000 t 2023 — 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 — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/wine-domestic-supply-quantity/

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About this data

Indicator
Wine — Domestic supply quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 3,034 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.