Onions — 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
167
Highest
888 1000 t
Bangladesh
Lowest
0 1000 t
United Republic of Tanzania
Median
11 1000 t
Years covered
14
2010–2023
Data points
2,801

What the numbers show

Onions — Import quantity is currently reported for 167 countries. The highest value is 888 1000 t in Bangladesh; the lowest is 0 1000 t in United Republic of Tanzania.

The median across all reporting countries is 11 1000 t, and the mean is 59.49 1000 t.

Over the past decade 77 countries rose and 54 fell. The largest increase was in Ukraine (up 1,600.0%), and the largest decrease in Argentina (down 100.0%).

Onions — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Bangladesh 888 1000 t 2023 up 146.7% rising
2 United States 626 1000 t 2023 up 43.2% rising
3 Malaysia 566 1000 t 2023 up 23.0% rising
4 Pakistan 388 1000 t 2023 up 126.9% volatile
5 United Arab Emirates 384 1000 t 2023 up 92.0% rising
6 United Kingdom 381 1000 t 2023 down 12.4% falling
6 United Kingdom of Great Britain and Northern Ireland 381 1000 t 2023 down 12.4% falling
8 Vietnam 350 1000 t 2023 up 105.9% volatile
8 Viet Nam 350 1000 t 2023 up 105.9% volatile
10 Sri Lanka 306 1000 t 2023 up 66.3% rising
11 Germany 259 1000 t 2023 up 9.3% flat
12 Netherlands (Kingdom of the) 258 1000 t 2023 up 55.4% rising
13 Canada 227 1000 t 2023 up 22.0% rising
14 Russia 206 1000 t 2023 down 15.6% falling
14 Russian Federation 206 1000 t 2023 down 15.6% falling
16 Kazakhstan 199 1000 t 2023 up 48.5% rising
16 Poland 199 1000 t 2023 up 192.6% volatile
18 Senegal 195 1000 t 2023 up 47.7% rising
19 Saudi Arabia 181 1000 t 2023 down 35.1% falling
20 Indonesia 157 1000 t 2023 up 460.7% rising
21 Spain 148 1000 t 2023 up 131.2% rising
22 Nepal 134 1000 t 2023 up 65.4% rising
23 France 130 1000 t 2023 down 4.4% rising
24 Republic of Korea 126 1000 t 2023 up 113.6% volatile
25 Iraq 119 1000 t 2023 up 14.4% volatile
26 Belgium 109 1000 t 2023 down 8.4% falling
27 Thailand 104 1000 t 2023 up 5.1% rising
28 Oman 101 1000 t 2023 up 80.4% rising
29 Italy 98 1000 t 2023 up 21.0% rising
29 Kuwait 98 1000 t 2023 down 12.5% rising
31 Portugal 90 1000 t 2023 up 57.9% rising
32 China 76 1000 t 2023 down 8.4% rising
33 Mozambique 74 1000 t 2023 up 252.4% volatile
34 Guinea 69 1000 t 2023 up 50.0% rising
34 Romania 69 1000 t 2023 up 76.9% rising
36 Mexico 68 1000 t 2023 up 19.3% rising
36 Ukraine 68 1000 t 2023 up 1,600.0% volatile
36 China, Taiwan Province of 68 1000 t 2023 up 9.7% rising
39 Philippines 65 1000 t 2023 up 622.2% volatile
40 Czechia 64 1000 t 2023 down 5.9% flat
41 Qatar 62 1000 t 2023 — falling
42 Mauritania 60 1000 t 2023 up 39.5% rising
43 Colombia 58 1000 t 2023 down 30.1% falling
44 Caribbean 46 1000 t 2023 up 53.3% rising
45 Ireland 42 1000 t 2023 up 20.0% rising
45 El Salvador 42 1000 t 2023 up 35.5% rising
45 Uganda 42 1000 t 2023 up 600.0% volatile
48 Uzbekistan 35 1000 t 2023 up 52.2% volatile
49 Israel 33 1000 t 2023 up 175.0% volatile
50 Bahrain 32 1000 t 2023 — falling
50 Chile 32 1000 t 2023 up 45.5% volatile
50 Georgia 32 1000 t 2023 up 68.4% rising
53 Croatia 28 1000 t 2023 up 75.0% rising
54 Greece 27 1000 t 2023 up 440.0% volatile
54 Slovenia 27 1000 t 2023 up 80.0% rising
56 Nicaragua 26 1000 t 2023 up 73.3% rising
56 Sweden 26 1000 t 2023 down 3.7% falling
58 Ghana 24 1000 t 2023 down 57.1% rising
59 Djibouti 23 1000 t 2023 up 76.9% rising
60 Bulgaria 22 1000 t 2023 unchanged rising
61 Afghanistan 21 1000 t 2023 up 133.3% volatile
61 Dominican Republic 21 1000 t 2023 up 162.5% rising
61 Ethiopia 21 1000 t 2023 up 110.0% volatile
61 India 21 1000 t 2023 up 16.7% volatile
65 Mongolia 18 1000 t 2023 up 5.9% rising
66 Latvia 17 1000 t 2023 up 70.0% rising
66 Sierra Leone 17 1000 t 2023 unchanged rising
66 Serbia 17 1000 t 2023 up 70.0% rising
66 Syria 17 1000 t 2023 down 22.7% falling
66 Syrian Arab Republic 17 1000 t 2023 down 22.7% falling
71 Hungary 16 1000 t 2023 up 77.8% rising
72 Maldives 15 1000 t 2023 up 87.5% rising
73 Mauritius 14 1000 t 2023 up 55.6% rising
74 Niger 13 1000 t 2023 — volatile
74 Slovakia 13 1000 t 2023 down 31.6% falling
76 Congo 12 1000 t 2023 up 50.0% rising
76 Lebanon 12 1000 t 2023 down 20.0% falling
78 Austria 11 1000 t 2023 down 31.2% falling
78 Bosnia and Herzegovina 11 1000 t 2023 up 37.5% rising
78 Finland 11 1000 t 2023 down 15.4% rising
78 Honduras 11 1000 t 2023 down 15.4% flat
78 Kyrgyzstan 11 1000 t 2023 — volatile
78 Lithuania 11 1000 t 2023 down 35.3% falling
78 South Africa 11 1000 t 2023 up 175.0% volatile
78 Melanesia 11 1000 t 2023 up 10.0% rising
86 Angola 10 1000 t 2023 up 42.9% volatile
86 Switzerland 10 1000 t 2023 up 233.3% rising
86 Estonia 10 1000 t 2023 up 100.0% rising
86 Haiti 10 1000 t 2023 up 25.0% rising
86 Democratic Republic of the Congo 10 1000 t 2023 up 25.0% rising
91 Belarus 8 1000 t 2023 down 11.1% volatile
91 Fiji 8 1000 t 2023 down 11.1% rising
91 Jamaica 8 1000 t 2023 down 11.1% flat
91 Norway 8 1000 t 2023 down 27.3% flat
95 Guatemala 7 1000 t 2023 down 74.1% volatile
95 Moldova 7 1000 t 2023 up 133.3% volatile
95 North Macedonia 7 1000 t 2023 up 250.0% volatile
95 Republic of Moldova 7 1000 t 2023 up 133.3% volatile
99 Albania 6 1000 t 2023 up 20.0% falling
99 Armenia 6 1000 t 2023 down 14.3% falling
99 Australia 6 1000 t 2023 unchanged falling
99 Denmark 6 1000 t 2023 down 50.0% falling
99 Nigeria 6 1000 t 2023 — volatile
99 Panama 6 1000 t 2023 down 50.0% rising
99 Turkmenistan 6 1000 t 2023 down 53.8% volatile
99 Australia and New Zealand 6 1000 t 2023 unchanged falling
107 Gabon 5 1000 t 2023 unchanged rising
107 Guyana 5 1000 t 2023 up 25.0% rising
107 Montenegro 5 1000 t 2023 up 25.0% rising
107 Suriname 5 1000 t 2023 unchanged rising
107 Eswatini 5 1000 t 2023 up 25.0% volatile
107 Iran (Islamic Republic of) 5 1000 t 2023 — volatile
107 Democratic People's Republic of Korea 5 1000 t 2018 — volatile
114 Bhutan 4 1000 t 2023 — rising
114 Cyprus 4 1000 t 2023 up 33.3% rising
114 Guinea-Bissau 4 1000 t 2023 unchanged rising
114 Libya 4 1000 t 2023 down 85.7% volatile
114 China, Macao SAR 4 1000 t 2023 up 100.0% rising
119 Bahamas 3 1000 t 2023 up 200.0% volatile
119 Comoros 3 1000 t 2023 up 50.0% rising
119 Luxembourg 3 1000 t 2023 unchanged flat
119 Namibia 3 1000 t 2023 down 25.0% volatile
119 Cabo Verde 3 1000 t 2023 up 50.0% rising
119 China, Hong Kong SAR 3 1000 t 2023 down 83.3% volatile
125 Azerbaijan 2 1000 t 2023 down 66.7% volatile
125 Barbados 2 1000 t 2023 unchanged flat
125 Costa Rica 2 1000 t 2023 up 100.0% volatile
125 Iceland 2 1000 t 2023 unchanged flat
125 Malta 2 1000 t 2023 — volatile
125 Papua New Guinea 2 1000 t 2023 up 100.0% volatile
125 Seychelles 2 1000 t 2023 unchanged rising
125 Zambia 2 1000 t 2022 down 71.4% volatile
125 Polynesia 2 1000 t 2023 down 33.3% rising
125 Bolivia (Plurinational State of) 2 1000 t 2023 down 60.0% volatile
135 Antigua and Barbuda 1 1000 t 2023 — volatile
135 Belize 1 1000 t 2023 unchanged rising
135 Cameroon 1 1000 t 2023 down 80.0% falling
135 Grenada 1 1000 t 2023 — volatile
135 Laos 1 1000 t 2023 — volatile
135 Saint Lucia 1 1000 t 2023 unchanged flat
135 Uruguay 1 1000 t 2019 — volatile
135 Samoa 1 1000 t 2023 unchanged rising
135 China, mainland 1 1000 t 2023 — volatile
135 Lao People's Democratic Republic 1 1000 t 2023 — volatile
145 Argentina 0 1000 t 2023 down 100.0% volatile
145 Botswana 0 1000 t 2023 down 100.0% falling
145 Cuba 0 1000 t 2019 down 100.0% volatile
145 Ecuador 0 1000 t 2023 down 100.0% volatile
145 Egypt 0 1000 t 2022 — volatile
145 Jordan 0 1000 t 2023 down 100.0% volatile
145 Kenya 0 1000 t 2023 down 100.0% volatile
145 Cambodia 0 1000 t 2023 — volatile
145 Myanmar 0 1000 t 2019 — volatile
145 French Polynesia 0 1000 t 2023 down 100.0% falling
145 Rwanda 0 1000 t 2023 down 100.0% volatile
145 Solomon Islands 0 1000 t 2023 — volatile
145 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
145 Tajikistan 0 1000 t 2023 down 100.0% volatile
145 East Timor 0 1000 t 2023 down 100.0% volatile
145 Turkey 0 1000 t 2023 down 100.0% volatile
145 Saint Vincent and the Grenadines 0 1000 t 2023 — volatile
145 Yemen 0 1000 t 2023 — volatile
145 Zimbabwe 0 1000 t 2020 down 100.0% volatile
145 Timor-Leste 0 1000 t 2023 down 100.0% volatile
145 Venezuela (Bolivarian Republic of) 0 1000 t 2021 down 100.0% volatile
145 Türkiye 0 1000 t 2023 down 100.0% volatile
145 United Republic of Tanzania 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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Onions — Import quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/onions-import-quantity/

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About this data

Indicator
Onions — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
214 places, 2,801 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.