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
173
Highest
888 1000 t
Bangladesh
Lowest
0 1000 t
United Republic of Tanzania
Median
8 1000 t
Years covered
14
2010–2023
Data points
2,679

What the numbers show

Onions — Import quantity is currently reported for 173 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 8 1000 t, and the mean is 48.18 1000 t.

Over the past decade 73 countries rose and 49 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 Malaysia 566 1000 t 2023 up 23.0% rising
3 Pakistan 388 1000 t 2023 up 126.9% volatile
4 United Arab Emirates 384 1000 t 2023 up 92.0% rising
5 United Kingdom of Great Britain and Northern Ireland 381 1000 t 2023 down 12.4% falling
6 Viet Nam 350 1000 t 2023 up 105.9% volatile
7 Sri Lanka 306 1000 t 2023 up 66.3% rising
8 Germany 259 1000 t 2023 up 9.3% flat
9 Netherlands (Kingdom of the) 258 1000 t 2023 up 55.4% rising
10 Canada 227 1000 t 2023 up 22.0% rising
11 Russian Federation 206 1000 t 2023 down 15.6% falling
12 Kazakhstan 199 1000 t 2023 up 48.5% rising
12 Poland 199 1000 t 2023 up 192.6% volatile
14 Senegal 195 1000 t 2023 up 47.7% rising
15 Saudi Arabia 181 1000 t 2023 down 35.1% falling
16 Indonesia 157 1000 t 2023 up 460.7% rising
17 Spain 148 1000 t 2023 up 131.2% rising
18 Nepal 134 1000 t 2023 up 65.4% rising
19 France 130 1000 t 2023 down 4.4% rising
20 Republic of Korea 126 1000 t 2023 up 113.6% volatile
21 Iraq 119 1000 t 2023 up 14.4% volatile
22 Belgium 109 1000 t 2023 down 8.4% falling
23 Thailand 104 1000 t 2023 up 5.1% rising
24 Oman 101 1000 t 2023 up 80.4% rising
25 Italy 98 1000 t 2023 up 21.0% rising
25 Kuwait 98 1000 t 2023 down 12.5% rising
27 Portugal 90 1000 t 2023 up 57.9% rising
28 China 76 1000 t 2023 down 8.4% rising
29 Mozambique 74 1000 t 2023 up 252.4% volatile
30 Guinea 69 1000 t 2023 up 50.0% rising
30 Romania 69 1000 t 2023 up 76.9% rising
32 Mexico 68 1000 t 2023 up 19.3% rising
32 Ukraine 68 1000 t 2023 up 1,600.0% volatile
32 China, Taiwan Province of 68 1000 t 2023 up 9.7% rising
35 Philippines 65 1000 t 2023 up 622.2% volatile
36 Czechia 64 1000 t 2023 down 5.9% flat
37 Qatar 62 1000 t 2023 falling
38 Mauritania 60 1000 t 2023 up 39.5% rising
39 Colombia 58 1000 t 2023 down 30.1% falling
40 Caribbean 46 1000 t 2023 up 53.3% rising
41 Ireland 42 1000 t 2023 up 20.0% rising
41 El Salvador 42 1000 t 2023 up 35.5% rising
41 Uganda 42 1000 t 2023 up 600.0% volatile
44 Uzbekistan 35 1000 t 2023 up 52.2% volatile
45 Israel 33 1000 t 2023 up 175.0% volatile
46 Bahrain 32 1000 t 2023 falling
46 Chile 32 1000 t 2023 up 45.5% volatile
46 Georgia 32 1000 t 2023 up 68.4% rising
49 Croatia 28 1000 t 2023 up 75.0% rising
50 Greece 27 1000 t 2023 up 440.0% volatile
50 Slovenia 27 1000 t 2023 up 80.0% rising
52 Nicaragua 26 1000 t 2023 up 73.3% rising
52 Sweden 26 1000 t 2023 down 3.7% falling
54 Ghana 24 1000 t 2023 down 57.1% rising
55 Djibouti 23 1000 t 2023 up 76.9% rising
56 Bulgaria 22 1000 t 2023 unchanged rising
57 Afghanistan 21 1000 t 2023 up 133.3% volatile
57 Dominican Republic 21 1000 t 2023 up 162.5% rising
57 Ethiopia 21 1000 t 2023 up 110.0% volatile
57 India 21 1000 t 2023 up 16.7% volatile
61 Mongolia 18 1000 t 2023 up 5.9% rising
62 Latvia 17 1000 t 2023 up 70.0% rising
62 Sierra Leone 17 1000 t 2023 unchanged rising
62 Serbia 17 1000 t 2023 up 70.0% rising
62 Syrian Arab Republic 17 1000 t 2023 down 22.7% falling
66 Hungary 16 1000 t 2023 up 77.8% rising
67 Maldives 15 1000 t 2023 up 87.5% rising
68 Mauritius 14 1000 t 2023 up 55.6% rising
69 Niger 13 1000 t 2023 volatile
69 Slovakia 13 1000 t 2023 down 31.6% falling
71 Congo 12 1000 t 2023 up 50.0% rising
71 Lebanon 12 1000 t 2023 down 20.0% falling
73 Austria 11 1000 t 2023 down 31.2% falling
73 Bosnia and Herzegovina 11 1000 t 2023 up 37.5% rising
73 Finland 11 1000 t 2023 down 15.4% rising
73 Honduras 11 1000 t 2023 down 15.4% flat
73 Kyrgyzstan 11 1000 t 2023 volatile
73 Lithuania 11 1000 t 2023 down 35.3% falling
73 Melanesia 11 1000 t 2023 up 10.0% rising
80 Angola 10 1000 t 2023 up 42.9% volatile
80 Switzerland 10 1000 t 2023 up 233.3% rising
80 Estonia 10 1000 t 2023 up 100.0% rising
80 Haiti 10 1000 t 2023 up 25.0% rising
80 Democratic Republic of the Congo 10 1000 t 2023 up 25.0% rising
85 Belarus 8 1000 t 2023 down 11.1% volatile
85 Fiji 8 1000 t 2023 down 11.1% rising
85 Jamaica 8 1000 t 2023 down 11.1% flat
85 Norway 8 1000 t 2023 down 27.3% flat
89 Guatemala 7 1000 t 2023 down 74.1% volatile
89 North Macedonia 7 1000 t 2023 up 250.0% volatile
89 Republic of Moldova 7 1000 t 2023 up 133.3% volatile
92 Albania 6 1000 t 2023 up 20.0% falling
92 Armenia 6 1000 t 2023 down 14.3% falling
92 Australia 6 1000 t 2023 unchanged falling
92 Denmark 6 1000 t 2023 down 50.0% falling
92 Nigeria 6 1000 t 2023 volatile
92 Panama 6 1000 t 2023 down 50.0% rising
92 Turkmenistan 6 1000 t 2023 down 53.8% volatile
92 Australia and New Zealand 6 1000 t 2023 unchanged falling
100 Gabon 5 1000 t 2023 unchanged rising
100 Guyana 5 1000 t 2023 up 25.0% rising
100 Montenegro 5 1000 t 2023 up 25.0% rising
100 Suriname 5 1000 t 2023 unchanged rising
100 Eswatini 5 1000 t 2023 up 25.0% volatile
100 Iran (Islamic Republic of) 5 1000 t 2023 volatile
100 Democratic People's Republic of Korea 5 1000 t 2018 volatile
107 Bhutan 4 1000 t 2023 rising
107 Cyprus 4 1000 t 2023 up 33.3% rising
107 Guinea-Bissau 4 1000 t 2023 unchanged rising
107 Libya 4 1000 t 2023 down 85.7% volatile
107 China, Macao SAR 4 1000 t 2023 up 100.0% rising
112 Bahamas 3 1000 t 2023 up 200.0% volatile
112 Comoros 3 1000 t 2023 up 50.0% rising
112 Luxembourg 3 1000 t 2023 unchanged flat
112 Namibia 3 1000 t 2023 down 25.0% volatile
112 Cabo Verde 3 1000 t 2023 up 50.0% rising
112 China, Hong Kong SAR 3 1000 t 2023 down 83.3% volatile
118 Azerbaijan 2 1000 t 2023 down 66.7% volatile
118 Barbados 2 1000 t 2023 unchanged flat
118 Costa Rica 2 1000 t 2023 up 100.0% volatile
118 Iceland 2 1000 t 2023 unchanged flat
118 Malta 2 1000 t 2023 volatile
118 Papua New Guinea 2 1000 t 2023 up 100.0% volatile
118 Seychelles 2 1000 t 2023 unchanged rising
118 Zambia 2 1000 t 2022 down 71.4% volatile
118 Polynesia 2 1000 t 2023 down 33.3% rising
118 Bolivia (Plurinational State of) 2 1000 t 2023 down 60.0% volatile
128 Antigua and Barbuda 1 1000 t 2023 volatile
128 Belize 1 1000 t 2023 unchanged rising
128 Cameroon 1 1000 t 2023 down 80.0% falling
128 Grenada 1 1000 t 2023 volatile
128 Saint Lucia 1 1000 t 2023 unchanged flat
128 Uruguay 1 1000 t 2019 volatile
128 Samoa 1 1000 t 2023 unchanged rising
128 China, mainland 1 1000 t 2023 volatile
128 Lao People's Democratic Republic 1 1000 t 2023 volatile
137 Argentina 0 1000 t 2023 down 100.0% volatile
137 Botswana 0 1000 t 2023 down 100.0% falling
137 Cuba 0 1000 t 2019 down 100.0% volatile
137 Algeria 0 1000 t 2023 flat
137 Ecuador 0 1000 t 2023 down 100.0% volatile
137 Egypt 0 1000 t 2022 volatile
137 Jordan 0 1000 t 2023 down 100.0% volatile
137 Kenya 0 1000 t 2023 down 100.0% volatile
137 Cambodia 0 1000 t 2023 volatile
137 Kiribati 0 1000 t 2023 flat
137 Saint Kitts and Nevis 0 1000 t 2023 flat
137 Liberia 0 1000 t 2021 flat
137 Lesotho 0 1000 t 2023 flat
137 Morocco 0 1000 t 2023 flat
137 Madagascar 0 1000 t 2023 flat
137 Marshall Islands 0 1000 t 2023 flat
137 Myanmar 0 1000 t 2019 volatile
137 Malawi 0 1000 t 2023 flat
137 New Caledonia 0 1000 t 2023 flat
137 Nauru 0 1000 t 2023 flat
137 Peru 0 1000 t 2014 flat
137 French Polynesia 0 1000 t 2023 down 100.0% falling
137 Rwanda 0 1000 t 2023 down 100.0% volatile
137 Solomon Islands 0 1000 t 2023 volatile
137 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
137 Tajikistan 0 1000 t 2023 down 100.0% volatile
137 Trinidad and Tobago 0 1000 t 2023 flat
137 Tuvalu 0 1000 t 2023 flat
137 Saint Vincent and the Grenadines 0 1000 t 2023 volatile
137 Vanuatu 0 1000 t 2023 flat
137 Yemen 0 1000 t 2023 volatile
137 Zimbabwe 0 1000 t 2020 down 100.0% volatile
137 Micronesia 0 1000 t 2023 flat
137 Timor-Leste 0 1000 t 2023 down 100.0% volatile
137 Venezuela (Bolivarian Republic of) 0 1000 t 2021 down 100.0% volatile
137 Türkiye 0 1000 t 2023 down 100.0% volatile
137 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.

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
204 places, 2,679 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.