Alcohol, Non-Food — Export 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
141
Highest
2,013 1000 t
Brazil
Lowest
0 1000 t
China, Taiwan Province of
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,116

What the numbers show

Alcohol, Non-Food — Export quantity is currently reported for 141 countries. The highest value is 2,013 1000 t in Brazil; the lowest is 0 1000 t in China, Taiwan Province of.

The median across all reporting countries is 1 1000 t, and the mean is 63.74 1000 t.

Over the past decade 29 countries rose and 42 fell. The largest increase was in Ukraine (up 3,850.0%), and the largest decrease in Armenia (down 100.0%).

Alcohol, Non-Food — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 2,013 1000 t 2023 down 13.3% flat
2 Netherlands (Kingdom of the) 1,589 1000 t 2023 up 223.0% rising
3 Pakistan 660 1000 t 2023 up 15.4% rising
4 Belgium 503 1000 t 2023 up 7.9% rising
5 France 493 1000 t 2023 down 28.9% falling
6 Hungary 480 1000 t 2023 up 51.9% rising
7 Germany 332 1000 t 2023 up 101.2% rising
8 Spain 326 1000 t 2023 up 74.3% rising
9 United Kingdom of Great Britain and Northern Ireland 228 1000 t 2023 up 130.3% volatile
10 Paraguay 187 1000 t 2023 up 1,600.0% volatile
11 Poland 169 1000 t 2023 up 322.5% volatile
12 Sweden 164 1000 t 2023 up 45.1% rising
13 Canada 161 1000 t 2023 up 177.6% rising
14 Slovakia 148 1000 t 2023 up 131.2% rising
15 Guatemala 144 1000 t 2023 down 23.4% rising
16 Austria 141 1000 t 2022 up 56.7% rising
17 India 132 1000 t 2023 down 46.8% falling
18 Peru 114 1000 t 2023 down 4.2% rising
19 Bulgaria 82 1000 t 2023 up 192.9% rising
20 Ukraine 79 1000 t 2023 up 3,850.0% volatile
21 Lithuania 65 1000 t 2023 up 261.1% volatile
22 Eswatini 64 1000 t 2023 up 300.0% rising
23 Australia 63 1000 t 2023 up 96.9% volatile
23 Australia and New Zealand 63 1000 t 2023 up 96.9% volatile
25 Italy 60 1000 t 2023 up 39.5% rising
26 Russian Federation 53 1000 t 2023 down 27.4% rising
27 Bolivia (Plurinational State of) 50 1000 t 2023 down 60.9% rising
28 Indonesia 47 1000 t 2023 down 30.9% rising
29 Republic of Korea 36 1000 t 2023 volatile
30 Czechia 28 1000 t 2023 down 15.2% flat
31 China 27 1000 t 2023 down 41.3% volatile
31 Uganda 27 1000 t 2023 up 2,600.0% volatile
31 China, mainland 27 1000 t 2023 down 41.3% volatile
34 Republic of Moldova 25 1000 t 2023 volatile
35 United Arab Emirates 23 1000 t 2023 up 2,200.0% volatile
36 Costa Rica 18 1000 t 2023 down 75.3% volatile
37 Argentina 14 1000 t 2023 up 100.0% rising
38 Kazakhstan 13 1000 t 2023 volatile
39 Nicaragua 11 1000 t 2023 up 57.1% rising
39 Türkiye 11 1000 t 2023 up 120.0% volatile
41 Egypt 10 1000 t 2023 down 44.4% volatile
42 Belarus 9 1000 t 2023 down 18.2% rising
43 Mauritius 8 1000 t 2023 up 60.0% volatile
43 Viet Nam 8 1000 t 2023 down 75.0% volatile
45 Colombia 7 1000 t 2023 volatile
45 Cuba 7 1000 t 2019 down 30.0% flat
47 Bhutan 5 1000 t 2023 rising
47 Thailand 5 1000 t 2023 down 95.5% volatile
47 Iran (Islamic Republic of) 5 1000 t 2023 down 44.4% volatile
50 Switzerland 4 1000 t 2023 up 300.0% volatile
50 Ecuador 4 1000 t 2023 down 81.0% falling
50 Latvia 4 1000 t 2023 down 33.3% falling
50 Nigeria 4 1000 t 2023 volatile
50 Portugal 4 1000 t 2023 up 300.0% volatile
50 Caribbean 4 1000 t 2023 down 97.0% volatile
56 Chile 3 1000 t 2023 volatile
56 Dominican Republic 3 1000 t 2023 down 40.0% falling
56 Cambodia 3 1000 t 2020 down 78.6% volatile
56 Romania 3 1000 t 2023 down 88.5% volatile
60 Kenya 2 1000 t 2023 down 88.2% volatile
60 Morocco 2 1000 t 2022 up 100.0% volatile
60 Philippines 2 1000 t 2023 down 33.3% volatile
60 Zambia 2 1000 t 2023 volatile
64 Barbados 1 1000 t 2023 volatile
64 Denmark 1 1000 t 2023 down 83.3% volatile
64 Ghana 1 1000 t 2023 volatile
64 Ireland 1 1000 t 2023 down 75.0% volatile
64 Myanmar 1 1000 t 2023 volatile
64 Malawi 1 1000 t 2023 unchanged volatile
64 Rwanda 1 1000 t 2022 volatile
64 Sierra Leone 1 1000 t 2023 down 80.0% falling
64 Venezuela (Bolivarian Republic of) 1 1000 t 2019 unchanged volatile
64 United Republic of Tanzania 1 1000 t 2023 down 66.7% volatile
74 Afghanistan 0 1000 t 2019 flat
74 Angola 0 1000 t 2023 flat
74 Armenia 0 1000 t 2023 down 100.0% volatile
74 Antigua and Barbuda 0 1000 t 2023 flat
74 Azerbaijan 0 1000 t 2023 volatile
74 Burkina Faso 0 1000 t 2022 volatile
74 Bangladesh 0 1000 t 2014 flat
74 Bahrain 0 1000 t 2023 flat
74 Bosnia and Herzegovina 0 1000 t 2023 flat
74 Botswana 0 1000 t 2023 flat
74 Cameroon 0 1000 t 2023 flat
74 Cyprus 0 1000 t 2021 flat
74 Djibouti 0 1000 t 2023 flat
74 Algeria 0 1000 t 2020 flat
74 Estonia 0 1000 t 2023 volatile
74 Ethiopia 0 1000 t 2022 flat
74 Finland 0 1000 t 2023 flat
74 Fiji 0 1000 t 2020 flat
74 Georgia 0 1000 t 2023 volatile
74 Gambia 0 1000 t 2023 flat
74 Greece 0 1000 t 2023 volatile
74 Grenada 0 1000 t 2023 flat
74 Guyana 0 1000 t 2023 flat
74 Honduras 0 1000 t 2023 flat
74 Croatia 0 1000 t 2023 down 100.0% volatile
74 Haiti 0 1000 t 2023 flat
74 Israel 0 1000 t 2023 flat
74 Jamaica 0 1000 t 2021 down 100.0% volatile
74 Jordan 0 1000 t 2023 flat
74 Kyrgyzstan 0 1000 t 2022 volatile
74 Kuwait 0 1000 t 2023 flat
74 Lebanon 0 1000 t 2023 volatile
74 Saint Lucia 0 1000 t 2020 volatile
74 Sri Lanka 0 1000 t 2023 flat
74 Luxembourg 0 1000 t 2023 flat
74 Madagascar 0 1000 t 2023 down 100.0% volatile
74 Mexico 0 1000 t 2023 down 100.0% volatile
74 North Macedonia 0 1000 t 2023 flat
74 Malta 0 1000 t 2022 flat
74 Montenegro 0 1000 t 2020 flat
74 Malaysia 0 1000 t 2023 volatile
74 Namibia 0 1000 t 2023 flat
74 New Caledonia 0 1000 t 2022 flat
74 Norway 0 1000 t 2023 volatile
74 New Zealand 0 1000 t 2023 flat
74 Oman 0 1000 t 2022 volatile
74 Panama 0 1000 t 2023 down 100.0% volatile
74 Papua New Guinea 0 1000 t 2021 volatile
74 French Polynesia 0 1000 t 2023 flat
74 Saudi Arabia 0 1000 t 2023 volatile
74 Senegal 0 1000 t 2023 down 100.0% volatile
74 El Salvador 0 1000 t 2023 down 100.0% volatile
74 Serbia 0 1000 t 2023 volatile
74 Suriname 0 1000 t 2022 flat
74 Slovenia 0 1000 t 2023 volatile
74 Trinidad and Tobago 0 1000 t 2023 down 100.0% volatile
74 Tunisia 0 1000 t 2020 flat
74 Uruguay 0 1000 t 2023 volatile
74 Saint Vincent and the Grenadines 0 1000 t 2023 flat
74 Samoa 0 1000 t 2019 flat
74 Zimbabwe 0 1000 t 2023 down 100.0% volatile
74 Melanesia 0 1000 t 2022 down 100.0% volatile
74 Polynesia 0 1000 t 2023 flat
74 China, Hong Kong SAR 0 1000 t 2023 flat
74 Syrian Arab Republic 0 1000 t 2023 flat
74 Côte d'Ivoire 0 1000 t 2023 down 100.0% volatile
74 Lao People's Democratic Republic 0 1000 t 2019 volatile
74 China, Taiwan Province 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
Alcohol, Non-Food — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
172 places, 2,116 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.