Onions — Losses 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
134
Highest
2,701 1000 t
China
Lowest
0 1000 t
China, Hong Kong SAR
Median
11 1000 t
Years covered
14
2010–2023
Data points
2,527

What the numbers show

Onions — Losses is currently reported for 134 countries. The highest value is 2,701 1000 t in China; the lowest is 0 1000 t in China, Hong Kong SAR.

The median across all reporting countries is 11 1000 t, and the mean is 98.06 1000 t.

Over the past decade 72 countries rose and 29 fell. The largest increase was in Egypt (up 244.0%), and the largest decrease in Cyprus (down 100.0%).

Onions — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 China 2,701 1000 t 2023 up 10.2% rising
2 China, mainland 2,696 1000 t 2023 up 10.3% rising
3 India 2,564 1000 t 2023 up 58.7% rising
4 Turkey 390 1000 t 2023 up 36.4% rising
4 Türkiye 390 1000 t 2023 up 36.4% rising
6 Egypt 313 1000 t 2023 up 244.0% rising
7 United States 305 1000 t 2023 up 69.4% rising
8 Bangladesh 241 1000 t 2023 up 145.9% rising
9 Pakistan 180 1000 t 2023 up 29.5% rising
10 Iran (Islamic Republic of) 164 1000 t 2023 down 4.7% falling
11 Algeria 152 1000 t 2023 up 33.3% rising
12 Mexico 149 1000 t 2023 up 40.6% rising
13 Nigeria 142 1000 t 2023 up 111.9% rising
14 Brazil 138 1000 t 2023 up 7.0% flat
15 Niger 137 1000 t 2023 up 121.0% rising
16 Spain 135 1000 t 2023 up 5.5% rising
17 France 131 1000 t 2023 up 92.6% rising
18 Colombia 130 1000 t 2023 up 32.7% rising
19 Uzbekistan 112 1000 t 2023 up 25.8% rising
20 Republic of Korea 104 1000 t 2023 down 3.7% flat
21 Germany 102 1000 t 2023 up 59.4% rising
22 Poland 86 1000 t 2023 up 34.4% rising
23 Myanmar 85 1000 t 2023 down 15.8% falling
24 United Kingdom 67 1000 t 2023 down 15.2% falling
24 United Kingdom of Great Britain and Northern Ireland 67 1000 t 2023 down 15.2% falling
26 Tajikistan 58 1000 t 2023 up 65.7% rising
27 Peru 57 1000 t 2023 down 28.8% falling
28 South Africa 56 1000 t 2023 up 14.3% rising
28 Netherlands (Kingdom of the) 56 1000 t 2023 up 27.3% rising
30 Vietnam 55 1000 t 2023 up 96.4% rising
30 Viet Nam 55 1000 t 2023 up 96.4% rising
32 Morocco 52 1000 t 2023 down 33.3% falling
33 Afghanistan 41 1000 t 2023 up 115.8% rising
34 Uganda 39 1000 t 2023 up 21.9% rising
35 United Arab Emirates 38 1000 t 2023 up 90.0% rising
36 Russia 37 1000 t 2023 down 47.1% falling
36 Senegal 37 1000 t 2023 up 94.7% rising
36 Russian Federation 37 1000 t 2023 down 47.1% falling
39 Chile 35 1000 t 2023 up 25.0% rising
40 Italy 31 1000 t 2023 down 27.9% falling
41 Cameroon 29 1000 t 2023 up 70.6% rising
42 Canada 25 1000 t 2023 up 31.6% rising
42 United Republic of Tanzania 25 1000 t 2023 up 56.2% rising
44 Ethiopia 24 1000 t 2023 up 33.3% rising
44 Indonesia 24 1000 t 2023 down 71.8% falling
44 Philippines 24 1000 t 2023 up 118.2% rising
44 Venezuela (Bolivarian Republic of) 24 1000 t 2023 down 14.3% falling
48 Saudi Arabia 23 1000 t 2023 up 15.0% rising
49 Austria 22 1000 t 2023 up 37.5% rising
50 Australia 21 1000 t 2023 down 16.0% falling
50 Azerbaijan 21 1000 t 2023 up 90.9% rising
50 Mozambique 21 1000 t 2023 up 162.5% rising
50 Australia and New Zealand 21 1000 t 2023 down 16.0% falling
54 Argentina 20 1000 t 2023 unchanged flat
54 Kazakhstan 20 1000 t 2023 up 42.9% rising
56 Yemen 19 1000 t 2023 unchanged rising
57 Guatemala 18 1000 t 2023 up 50.0% rising
58 Belarus 16 1000 t 2023 up 60.0% rising
58 Libya 16 1000 t 2023 up 6.7% rising
58 Tunisia 16 1000 t 2023 up 6.7% rising
61 Malawi 14 1000 t 2023 up 55.6% rising
62 Armenia 12 1000 t 2023 down 47.8% falling
62 Ghana 12 1000 t 2023 unchanged rising
62 Kenya 12 1000 t 2023 up 9.1% rising
62 Caribbean 12 1000 t 2023 down 25.0% falling
66 Albania 11 1000 t 2023 up 22.2% rising
66 Belgium 11 1000 t 2023 up 37.5% rising
66 Greece 11 1000 t 2023 down 15.4% falling
66 Iraq 11 1000 t 2023 unchanged rising
66 Kuwait 11 1000 t 2023 down 15.4% rising
66 Sri Lanka 11 1000 t 2023 up 10.0% falling
72 Oman 10 1000 t 2023 up 66.7% rising
72 Portugal 10 1000 t 2023 unchanged flat
72 Bolivia (Plurinational State of) 10 1000 t 2023 up 42.9% rising
75 Dominican Republic 9 1000 t 2023 up 125.0% rising
76 Syria 8 1000 t 2023 up 14.3% flat
76 Syrian Arab Republic 8 1000 t 2023 up 14.3% flat
78 Cuba 7 1000 t 2019 down 36.4% falling
78 Jordan 7 1000 t 2023 up 133.3% rising
78 Democratic People's Republic of Korea 7 1000 t 2018 unchanged flat
81 Qatar 6 1000 t 2023 — falling
81 Sweden 6 1000 t 2023 up 50.0% rising
81 Turkmenistan 6 1000 t 2023 down 25.0% falling
81 Ukraine 6 1000 t 2023 down 14.3% falling
85 Costa Rica 5 1000 t 2023 up 25.0% rising
85 Ireland 5 1000 t 2023 up 25.0% rising
85 Lebanon 5 1000 t 2023 down 28.6% falling
85 North Macedonia 5 1000 t 2023 unchanged rising
85 Nicaragua 5 1000 t 2023 up 150.0% rising
85 Uruguay 5 1000 t 2023 up 25.0% rising
85 China, Taiwan Province of 5 1000 t 2023 up 25.0% rising
92 Denmark 4 1000 t 2023 unchanged falling
92 El Salvador 4 1000 t 2023 up 33.3% rising
92 Serbia 4 1000 t 2023 up 33.3% volatile
92 Slovenia 4 1000 t 2023 up 100.0% rising
92 Thailand 4 1000 t 2023 up 33.3% flat
92 Democratic Republic of the Congo 4 1000 t 2023 down 20.0% falling
98 Bahrain 3 1000 t 2023 — falling
98 Bosnia and Herzegovina 3 1000 t 2023 unchanged flat
98 Kyrgyzstan 3 1000 t 2023 up 50.0% rising
98 Moldova 3 1000 t 2023 up 50.0% falling
98 Panama 3 1000 t 2023 unchanged falling
98 Paraguay 3 1000 t 2023 unchanged flat
98 Rwanda 3 1000 t 2023 up 200.0% volatile
98 Zambia 3 1000 t 2023 unchanged rising
98 Republic of Moldova 3 1000 t 2023 up 50.0% falling
107 Bulgaria 2 1000 t 2023 up 100.0% rising
107 Finland 2 1000 t 2023 unchanged rising
107 Croatia 2 1000 t 2023 unchanged flat
107 Hungary 2 1000 t 2023 unchanged flat
107 Israel 2 1000 t 2023 unchanged flat
107 Lithuania 2 1000 t 2023 unchanged falling
107 Mongolia 2 1000 t 2023 up 100.0% volatile
107 Namibia 2 1000 t 2023 unchanged rising
107 Romania 2 1000 t 2023 down 50.0% falling
107 Slovakia 2 1000 t 2023 up 100.0% rising
117 Congo 1 1000 t 2023 unchanged rising
117 Czechia 1 1000 t 2023 unchanged falling
117 Guyana 1 1000 t 2023 — volatile
117 Honduras 1 1000 t 2023 unchanged flat
117 Haiti 1 1000 t 2023 unchanged flat
117 Latvia 1 1000 t 2023 unchanged falling
117 Madagascar 1 1000 t 2023 unchanged flat
117 Malta 1 1000 t 2023 unchanged flat
117 Montenegro 1 1000 t 2023 unchanged rising
117 Mauritius 1 1000 t 2023 unchanged flat
117 Norway 1 1000 t 2023 unchanged rising
117 Zimbabwe 1 1000 t 2023 — volatile
129 Botswana 0 1000 t 2023 — volatile
129 Cyprus 0 1000 t 2023 down 100.0% volatile
129 Georgia 0 1000 t 2023 down 100.0% volatile
129 Suriname 0 1000 t 2023 down 100.0% volatile
129 Cabo Verde 0 1000 t 2023 down 100.0% volatile
129 China, Hong Kong SAR 0 1000 t 2023 down 100.0% 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 — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/onions-losses/

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About this data

Indicator
Onions — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
184 places, 2,527 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.