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
182
Highest
3,894 1000 t
France
Lowest
0 1000 t
Micronesia (Federated States of)
Median
7 1000 t
Years covered
14
2010–2023
Data points
2,889

What the numbers show

Wine — Domestic supply quantity is currently reported for 182 countries. The highest value is 3,894 1000 t in France; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 7 1000 t, and the mean is 136.16 1000 t.

Over the past decade 70 countries rose and 60 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 Italy 2,763 1000 t 2023 up 20.3% rising
3 China 2,054 1000 t 2023 down 6.1% rising
4 China, mainland 2,006 1000 t 2023 down 5.9% rising
5 Spain 1,508 1000 t 2023 down 14.6% falling
6 Germany 1,504 1000 t 2023 down 22.7% falling
7 United Kingdom of Great Britain and Northern Ireland 1,256 1000 t 2023 up 3.3% rising
8 Russian Federation 890 1000 t 2023 down 36.4% falling
9 Argentina 680 1000 t 2023 down 39.0% falling
10 Portugal 604 1000 t 2023 up 22.5% flat
11 Belgium 563 1000 t 2023 up 64.6% rising
12 Netherlands (Kingdom of the) 529 1000 t 2023 up 49.0% rising
13 Australia and New Zealand 523 1000 t 2023 down 27.4% flat
14 Brazil 498 1000 t 2023 up 45.6% rising
15 Chile 454 1000 t 2023 up 35.9% rising
16 Australia 414 1000 t 2023 down 30.2% flat
16 Romania 414 1000 t 2023 down 8.0% flat
18 Switzerland 282 1000 t 2023 down 6.9% falling
19 Austria 257 1000 t 2023 down 9.2% falling
20 Canada 219 1000 t 2023 down 47.6% falling
21 Sweden 212 1000 t 2023 up 5.0% rising
22 Poland 194 1000 t 2023 up 60.3% rising
23 Hungary 186 1000 t 2023 down 22.5% falling
24 Czechia 185 1000 t 2023 up 10.8% falling
25 Denmark 144 1000 t 2023 down 5.3% flat
26 Greece 127 1000 t 2023 down 60.6% falling
27 Mexico 125 1000 t 2023 up 33.0% rising
28 Ukraine 121 1000 t 2023 down 17.7% falling
29 New Zealand 109 1000 t 2023 down 13.5% rising
30 Peru 93 1000 t 2023 up 13.4% rising
31 Ireland 91 1000 t 2023 up 16.7% rising
31 Norway 91 1000 t 2023 up 9.6% rising
33 Türkiye 85 1000 t 2023 up 174.2% volatile
34 Belarus 82 1000 t 2023 up 3.8% rising
35 Côte d'Ivoire 77 1000 t 2023 up 165.5% rising
36 Bulgaria 69 1000 t 2023 down 16.9% falling
37 Croatia 58 1000 t 2023 down 1.7% rising
38 Caribbean 54 1000 t 2023 up 20.0% rising
39 Finland 53 1000 t 2023 down 19.7% falling
39 Morocco 53 1000 t 2023 up 39.5% rising
39 Turkmenistan 53 1000 t 2023 up 43.2% rising
42 United Arab Emirates 52 1000 t 2023 up 116.7% rising
42 Kazakhstan 52 1000 t 2023 up 18.2% rising
44 Luxembourg 51 1000 t 2023 up 70.0% rising
44 Uruguay 51 1000 t 2023 down 22.7% falling
46 Namibia 46 1000 t 2023 up 130.0% rising
47 Republic of Korea 42 1000 t 2023 up 40.0% rising
48 Georgia 36 1000 t 2023 down 34.5% falling
49 Angola 35 1000 t 2023 down 65.0% volatile
50 Serbia 34 1000 t 2023 down 2.9% rising
51 Latvia 33 1000 t 2023 up 266.7% volatile
52 Tunisia 32 1000 t 2023 up 33.3% rising
53 Republic of Moldova 29 1000 t 2023 down 31.0% rising
54 Lithuania 28 1000 t 2023 down 36.4% falling
55 Venezuela (Bolivarian Republic of) 27 1000 t 2023 up 145.5% volatile
56 Colombia 24 1000 t 2023 down 7.7% rising
57 Estonia 23 1000 t 2023 up 9.5% rising
57 Uzbekistan 23 1000 t 2023 down 20.7% falling
59 Slovakia 22 1000 t 2023 down 71.8% falling
60 China, Hong Kong SAR 21 1000 t 2023 down 32.3% falling
61 Dominican Republic 19 1000 t 2023 up 72.7% rising
61 Viet Nam 19 1000 t 2023 up 90.0% volatile
63 Costa Rica 18 1000 t 2023 up 63.6% rising
63 Nigeria 18 1000 t 2023 down 35.7% flat
63 Slovenia 18 1000 t 2023 down 25.0% falling
63 China, Taiwan Province of 18 1000 t 2023 up 5.9% rising
67 Cyprus 17 1000 t 2023 down 5.6% flat
68 Cuba 16 1000 t 2019 down 11.1% flat
69 North Macedonia 15 1000 t 2023 up 200.0% volatile
69 Paraguay 15 1000 t 2023 down 25.0% falling
71 Philippines 14 1000 t 2023 up 27.3% rising
72 Ecuador 12 1000 t 2023 up 140.0% rising
72 Guinea-Bissau 12 1000 t 2023 up 100.0% rising
74 Algeria 11 1000 t 2023 down 38.9% rising
74 Israel 11 1000 t 2023 up 120.0% rising
74 Madagascar 11 1000 t 2023 up 1,000.0% volatile
77 Kenya 10 1000 t 2023 up 66.7% rising
78 Burkina Faso 9 1000 t 2023 up 200.0% volatile
78 Bosnia and Herzegovina 9 1000 t 2023 up 12.5% flat
78 Cameroon 9 1000 t 2023 down 18.2% falling
78 China, Macao SAR 9 1000 t 2023 up 28.6% flat
82 Armenia 8 1000 t 2023 up 100.0% rising
82 Azerbaijan 8 1000 t 2023 up 166.7% rising
82 Botswana 8 1000 t 2023 up 60.0% rising
82 Malta 8 1000 t 2023 unchanged flat
82 Montenegro 8 1000 t 2023 down 38.5% falling
82 Malaysia 8 1000 t 2023 up 100.0% volatile
82 Panama 8 1000 t 2023 up 33.3% rising
89 Albania 7 1000 t 2023 down 63.2% falling
89 Egypt 7 1000 t 2023 up 40.0% rising
89 Cambodia 7 1000 t 2023 up 600.0% volatile
89 Cabo Verde 7 1000 t 2023 up 40.0% rising
89 Bolivia (Plurinational State of) 7 1000 t 2023 down 22.2% falling
89 United Republic of Tanzania 7 1000 t 2023 up 40.0% rising
95 Gabon 6 1000 t 2023 down 14.3% falling
95 India 6 1000 t 2023 up 100.0% rising
95 Senegal 6 1000 t 2023 unchanged falling
95 Melanesia 6 1000 t 2023 down 25.0% falling
99 Bahamas 5 1000 t 2023 up 66.7% rising
99 Guatemala 5 1000 t 2023 up 66.7% rising
99 Indonesia 5 1000 t 2023 volatile
99 Iceland 5 1000 t 2023 up 25.0% rising
99 Democratic Republic of the Congo 5 1000 t 2023 down 16.7% falling
104 Congo 4 1000 t 2023 unchanged falling
104 Ghana 4 1000 t 2023 down 63.6% falling
104 Haiti 4 1000 t 2023 up 100.0% volatile
104 Lebanon 4 1000 t 2023 down 55.6% volatile
104 Liberia 4 1000 t 2023 volatile
104 Lesotho 4 1000 t 2023 up 300.0% volatile
104 Mozambique 4 1000 t 2023 down 50.0% volatile
104 Mauritius 4 1000 t 2023 up 100.0% rising
104 El Salvador 4 1000 t 2023 up 100.0% rising
104 Thailand 4 1000 t 2023 down 42.9% falling
104 Trinidad and Tobago 4 1000 t 2023 up 33.3% rising
115 Barbados 3 1000 t 2023 down 25.0% falling
115 Kyrgyzstan 3 1000 t 2023 unchanged flat
115 Maldives 3 1000 t 2023 up 200.0% rising
115 Myanmar 3 1000 t 2023 unchanged volatile
115 Mongolia 3 1000 t 2023 down 25.0% volatile
115 New Caledonia 3 1000 t 2023 down 50.0% falling
115 Sao Tome and Principe 3 1000 t 2023 down 25.0% falling
115 Uganda 3 1000 t 2023 up 50.0% rising
115 Zambia 3 1000 t 2023 up 50.0% rising
115 Zimbabwe 3 1000 t 2023 down 25.0% falling
115 Polynesia 3 1000 t 2023 unchanged falling
126 Antigua and Barbuda 2 1000 t 2023 unchanged rising
126 Fiji 2 1000 t 2023 up 100.0% volatile
126 Guinea 2 1000 t 2023 up 100.0% volatile
126 Honduras 2 1000 t 2023 unchanged rising
126 Saint Lucia 2 1000 t 2023 up 100.0% rising
126 Sri Lanka 2 1000 t 2023 up 100.0% rising
126 Nicaragua 2 1000 t 2023 up 100.0% rising
126 French Polynesia 2 1000 t 2023 down 33.3% falling
126 Seychelles 2 1000 t 2023 unchanged rising
135 Bahrain 1 1000 t 2023 rising
135 Belize 1 1000 t 2023 unchanged rising
135 Ethiopia 1 1000 t 2023 unchanged rising
135 Grenada 1 1000 t 2023 volatile
135 Jordan 1 1000 t 2023 volatile
135 Nepal 1 1000 t 2023 unchanged falling
135 Oman 1 1000 t 2023 unchanged volatile
135 Papua New Guinea 1 1000 t 2023 unchanged volatile
135 Qatar 1 1000 t 2023 flat
135 Rwanda 1 1000 t 2023 unchanged volatile
135 Sierra Leone 1 1000 t 2023 unchanged volatile
135 Suriname 1 1000 t 2023 unchanged falling
135 Eswatini 1 1000 t 2023 down 66.7% rising
135 Vanuatu 1 1000 t 2023 volatile
135 Lao People's Democratic Republic 1 1000 t 2023 down 50.0% falling
150 Afghanistan 0 1000 t 2023 flat
150 Bangladesh 0 1000 t 2023 flat
150 Bhutan 0 1000 t 2023 volatile
150 Comoros 0 1000 t 2023 flat
150 Djibouti 0 1000 t 2023 down 100.0% volatile
150 Gambia 0 1000 t 2023 down 100.0% volatile
150 Guyana 0 1000 t 2023 flat
150 Iraq 0 1000 t 2023 down 100.0% volatile
150 Jamaica 0 1000 t 2023 volatile
150 Kiribati 0 1000 t 2023 flat
150 Saint Kitts and Nevis 0 1000 t 2023 volatile
150 Kuwait 0 1000 t 2023 flat
150 Libya 0 1000 t 2023 flat
150 Marshall Islands 0 1000 t 2023 flat
150 Mauritania 0 1000 t 2023 flat
150 Malawi 0 1000 t 2023 flat
150 Niger 0 1000 t 2023 down 100.0% volatile
150 Nauru 0 1000 t 2023 flat
150 Pakistan 0 1000 t 2023 flat
150 Saudi Arabia 0 1000 t 2023 flat
150 Solomon Islands 0 1000 t 2023 flat
150 Tajikistan 0 1000 t 2023 volatile
150 Tonga 0 1000 t 2023 flat
150 Tuvalu 0 1000 t 2023 flat
150 Saint Vincent and the Grenadines 0 1000 t 2023 flat
150 Samoa 0 1000 t 2023 flat
150 Yemen 0 1000 t 2023 flat
150 Micronesia 0 1000 t 2023 flat
150 Timor-Leste 0 1000 t 2023 down 100.0% volatile
150 Iran (Islamic Republic of) 0 1000 t 2023 flat
150 Syrian Arab Republic 0 1000 t 2023 volatile
150 Democratic People's Republic of Korea 0 1000 t 2018 flat
150 Micronesia (Federated States of) 0 1000 t 2023 flat

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
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
213 places, 2,889 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.