Beverages, Fermented — Import 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
116
Highest
231 1000 t
United Kingdom
Lowest
0 1000 t
Lao People's Democratic Republic
Median
3 1000 t
Years covered
14
2010–2023
Data points
2,897

What the numbers show

Beverages, Fermented — Import quantity is currently reported for 116 countries. The highest value is 231 1000 t in United Kingdom; the lowest is 0 1000 t in Lao People's Democratic Republic.

The median across all reporting countries is 3 1000 t, and the mean is 11.32 1000 t.

Over the past decade 38 countries rose and 33 fell. The largest increase was in Mozambique (up 1,500.0%), and the largest decrease in Brazil (down 100.0%).

Beverages, Fermented — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 United Kingdom 231 1000 t 2023 up 28.3% rising
1 United Kingdom of Great Britain and Northern Ireland 231 1000 t 2023 up 28.3% rising
3 United States 146 1000 t 2023 up 192.0% volatile
4 Botswana 34 1000 t 2023 up 209.1% volatile
4 Germany 34 1000 t 2023 down 17.1% flat
6 China 33 1000 t 2023 up 120.0% rising
6 Czechia 33 1000 t 2023 up 65.0% rising
8 Australia and New Zealand 27 1000 t 2023 down 27.0% flat
9 Spain 25 1000 t 2023 up 108.3% rising
10 Australia 24 1000 t 2023 down 33.3% falling
11 Russia 21 1000 t 2023 down 65.6% flat
11 Russian Federation 21 1000 t 2023 down 65.6% flat
11 Netherlands (Kingdom of the) 21 1000 t 2023 up 90.9% rising
14 Canada 19 1000 t 2023 down 13.6% rising
14 Republic of Korea 19 1000 t 2023 up 137.5% volatile
16 Italy 17 1000 t 2023 up 30.8% rising
16 Latvia 17 1000 t 2023 up 70.0% rising
18 Mozambique 16 1000 t 2023 up 1,500.0% volatile
19 Lithuania 15 1000 t 2023 down 54.5% falling
19 Namibia 15 1000 t 2023 down 69.4% volatile
21 China, mainland 14 1000 t 2023 up 250.0% volatile
22 Austria 13 1000 t 2023 up 116.7% rising
22 Norway 13 1000 t 2023 up 116.7% rising
22 Romania 13 1000 t 2023 up 333.3% volatile
25 France 12 1000 t 2023 down 29.4% flat
25 Ireland 12 1000 t 2023 up 100.0% rising
25 Sweden 12 1000 t 2023 down 29.4% falling
25 Caribbean 12 1000 t 2023 up 200.0% rising
29 Hungary 11 1000 t 2023 down 26.7% rising
29 China, Hong Kong SAR 11 1000 t 2023 up 37.5% rising
31 Lesotho 10 1000 t 2023 up 150.0% volatile
31 Portugal 10 1000 t 2023 up 100.0% rising
31 Ukraine 10 1000 t 2023 up 400.0% volatile
34 Slovakia 9 1000 t 2023 down 62.5% falling
35 Denmark 8 1000 t 2023 down 42.9% falling
35 Thailand 8 1000 t 2023 up 166.7% rising
37 Belgium 7 1000 t 2023 down 12.5% rising
37 Croatia 7 1000 t 2023 up 16.7% flat
39 Estonia 6 1000 t 2023 down 70.0% falling
39 Finland 6 1000 t 2023 down 45.5% falling
39 Paraguay 6 1000 t 2023 up 50.0% rising
39 Eswatini 6 1000 t 2023 unchanged rising
39 South Africa 6 1000 t 2023 down 14.3% volatile
39 China, Taiwan Province of 6 1000 t 2023 up 200.0% rising
45 Bosnia and Herzegovina 4 1000 t 2023 down 20.0% flat
45 Ghana 4 1000 t 2023 up 33.3% rising
45 Greece 4 1000 t 2023 up 100.0% rising
45 Kazakhstan 4 1000 t 2023 up 300.0% volatile
49 Bulgaria 3 1000 t 2023 up 200.0% rising
49 Switzerland 3 1000 t 2023 down 57.1% falling
49 Cyprus 3 1000 t 2023 up 200.0% rising
49 Dominican Republic 3 1000 t 2023 up 200.0% volatile
49 Guyana 3 1000 t 2023 — volatile
49 Mexico 3 1000 t 2023 down 50.0% volatile
49 New Zealand 3 1000 t 2023 up 200.0% volatile
49 Poland 3 1000 t 2023 up 50.0% volatile
49 Slovenia 3 1000 t 2023 unchanged rising
49 Trinidad and Tobago 3 1000 t 2023 up 200.0% volatile
49 United Republic of Tanzania 3 1000 t 2023 up 200.0% volatile
60 United Arab Emirates 2 1000 t 2023 unchanged rising
60 Belarus 2 1000 t 2023 unchanged volatile
60 Chile 2 1000 t 2023 — volatile
60 Israel 2 1000 t 2023 up 100.0% volatile
60 Malaysia 2 1000 t 2023 unchanged rising
60 Zimbabwe 2 1000 t 2023 down 50.0% volatile
60 Democratic Republic of the Congo 2 1000 t 2023 — volatile
60 Venezuela (Bolivarian Republic of) 2 1000 t 2023 up 100.0% volatile
68 Angola 1 1000 t 2023 down 93.8% volatile
68 Antigua and Barbuda 1 1000 t 2023 — volatile
68 Burkina Faso 1 1000 t 2023 down 50.0% volatile
68 Barbados 1 1000 t 2023 — volatile
68 Colombia 1 1000 t 2023 — volatile
68 Costa Rica 1 1000 t 2023 — volatile
68 Guatemala 1 1000 t 2023 unchanged volatile
68 Haiti 1 1000 t 2023 — volatile
68 Luxembourg 1 1000 t 2023 — volatile
68 Malta 1 1000 t 2023 — volatile
68 Myanmar 1 1000 t 2023 — volatile
68 Montenegro 1 1000 t 2023 unchanged rising
68 Papua New Guinea 1 1000 t 2023 — volatile
68 Serbia 1 1000 t 2023 — volatile
68 Uganda 1 1000 t 2023 — volatile
68 Vietnam 1 1000 t 2023 down 50.0% falling
68 Vanuatu 1 1000 t 2023 — volatile
68 Zambia 1 1000 t 2023 down 75.0% volatile
68 Melanesia 1 1000 t 2023 unchanged volatile
68 Viet Nam 1 1000 t 2023 down 50.0% falling
68 China, Macao SAR 1 1000 t 2023 unchanged rising
89 Afghanistan 0 1000 t 2021 — volatile
89 Bahrain 0 1000 t 2023 — volatile
89 Belize 0 1000 t 2023 — volatile
89 Brazil 0 1000 t 2023 down 100.0% falling
89 Cote d'Ivoire 0 1000 t 2023 — volatile
89 Cuba 0 1000 t 2019 down 100.0% falling
89 Iceland 0 1000 t 2023 — volatile
89 Kenya 0 1000 t 2023 — volatile
89 Laos 0 1000 t 2023 — volatile
89 Liberia 0 1000 t 2023 down 100.0% volatile
89 Libya 0 1000 t 2023 — volatile
89 Saint Lucia 0 1000 t 2023 — volatile
89 North Macedonia 0 1000 t 2023 — volatile
89 Mongolia 0 1000 t 2023 — volatile
89 Malawi 0 1000 t 2023 — volatile
89 Nigeria 0 1000 t 2023 down 100.0% volatile
89 Oman 0 1000 t 2023 — volatile
89 Panama 0 1000 t 2023 — volatile
89 Philippines 0 1000 t 2023 — volatile
89 Rwanda 0 1000 t 2023 — volatile
89 Sierra Leone 0 1000 t 2023 down 100.0% volatile
89 Seychelles 0 1000 t 2023 — volatile
89 Turkey 0 1000 t 2023 down 100.0% volatile
89 Uruguay 0 1000 t 2023 — volatile
89 Bolivia (Plurinational State of) 0 1000 t 2023 — volatile
89 Türkiye 0 1000 t 2023 down 100.0% volatile
89 Côte d'Ivoire 0 1000 t 2023 — volatile
89 Lao People's Democratic 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.

Share, cite or embed this page

Cite this page

Beverages, Fermented — Import quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/beverages-fermented-import-quantity/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/beverages-fermented-import-quantity/">Beverages, Fermented — Import quantity by country</a> — Statizoid

About this data

Indicator
Beverages, Fermented — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
219 places, 2,897 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.