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
146
Highest
2,701 1000 t
China
Lowest
0 1000 t
China, Hong Kong SAR
Median
6.5 1000 t
Years covered
14
2010–2023
Data points
2,429

What the numbers show

Onions — Losses is currently reported for 146 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 6.5 1000 t, and the mean is 83.69 1000 t.

Over the past decade 66 countries rose and 27 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 Türkiye 390 1000 t 2023 up 36.4% rising
5 Egypt 313 1000 t 2023 up 244.0% rising
6 Bangladesh 241 1000 t 2023 up 145.9% rising
7 Pakistan 180 1000 t 2023 up 29.5% rising
8 Iran (Islamic Republic of) 164 1000 t 2023 down 4.7% falling
9 Algeria 152 1000 t 2023 up 33.3% rising
10 Mexico 149 1000 t 2023 up 40.6% rising
11 Nigeria 142 1000 t 2023 up 111.9% rising
12 Brazil 138 1000 t 2023 up 7.0% flat
13 Niger 137 1000 t 2023 up 121.0% rising
14 Spain 135 1000 t 2023 up 5.5% rising
15 France 131 1000 t 2023 up 92.6% rising
16 Colombia 130 1000 t 2023 up 32.7% rising
17 Uzbekistan 112 1000 t 2023 up 25.8% rising
18 Republic of Korea 104 1000 t 2023 down 3.7% flat
19 Germany 102 1000 t 2023 up 59.4% rising
20 Poland 86 1000 t 2023 up 34.4% rising
21 Myanmar 85 1000 t 2023 down 15.8% falling
22 United Kingdom of Great Britain and Northern Ireland 67 1000 t 2023 down 15.2% falling
23 Tajikistan 58 1000 t 2023 up 65.7% rising
24 Peru 57 1000 t 2023 down 28.8% falling
25 Netherlands (Kingdom of the) 56 1000 t 2023 up 27.3% rising
26 Viet Nam 55 1000 t 2023 up 96.4% rising
27 Morocco 52 1000 t 2023 down 33.3% falling
28 Afghanistan 41 1000 t 2023 up 115.8% rising
29 Uganda 39 1000 t 2023 up 21.9% rising
30 United Arab Emirates 38 1000 t 2023 up 90.0% rising
31 Senegal 37 1000 t 2023 up 94.7% rising
31 Russian Federation 37 1000 t 2023 down 47.1% falling
33 Chile 35 1000 t 2023 up 25.0% rising
34 Italy 31 1000 t 2023 down 27.9% falling
35 Cameroon 29 1000 t 2023 up 70.6% rising
36 Canada 25 1000 t 2023 up 31.6% rising
36 United Republic of Tanzania 25 1000 t 2023 up 56.2% rising
38 Ethiopia 24 1000 t 2023 up 33.3% rising
38 Indonesia 24 1000 t 2023 down 71.8% falling
38 Philippines 24 1000 t 2023 up 118.2% rising
38 Venezuela (Bolivarian Republic of) 24 1000 t 2023 down 14.3% falling
42 Saudi Arabia 23 1000 t 2023 up 15.0% rising
43 Austria 22 1000 t 2023 up 37.5% rising
44 Australia 21 1000 t 2023 down 16.0% falling
44 Azerbaijan 21 1000 t 2023 up 90.9% rising
44 Mozambique 21 1000 t 2023 up 162.5% rising
44 Australia and New Zealand 21 1000 t 2023 down 16.0% falling
48 Argentina 20 1000 t 2023 unchanged flat
48 Kazakhstan 20 1000 t 2023 up 42.9% rising
50 Yemen 19 1000 t 2023 unchanged rising
51 Guatemala 18 1000 t 2023 up 50.0% rising
52 Belarus 16 1000 t 2023 up 60.0% rising
52 Libya 16 1000 t 2023 up 6.7% rising
52 Tunisia 16 1000 t 2023 up 6.7% rising
55 Malawi 14 1000 t 2023 up 55.6% rising
56 Armenia 12 1000 t 2023 down 47.8% falling
56 Ghana 12 1000 t 2023 unchanged rising
56 Kenya 12 1000 t 2023 up 9.1% rising
56 Caribbean 12 1000 t 2023 down 25.0% falling
60 Albania 11 1000 t 2023 up 22.2% rising
60 Belgium 11 1000 t 2023 up 37.5% rising
60 Greece 11 1000 t 2023 down 15.4% falling
60 Iraq 11 1000 t 2023 unchanged rising
60 Kuwait 11 1000 t 2023 down 15.4% rising
60 Sri Lanka 11 1000 t 2023 up 10.0% falling
66 Oman 10 1000 t 2023 up 66.7% rising
66 Portugal 10 1000 t 2023 unchanged flat
66 Bolivia (Plurinational State of) 10 1000 t 2023 up 42.9% rising
69 Dominican Republic 9 1000 t 2023 up 125.0% rising
70 Syrian Arab Republic 8 1000 t 2023 up 14.3% flat
71 Cuba 7 1000 t 2019 down 36.4% falling
71 Jordan 7 1000 t 2023 up 133.3% rising
71 Democratic People's Republic of Korea 7 1000 t 2018 unchanged flat
74 Qatar 6 1000 t 2023 falling
74 Sweden 6 1000 t 2023 up 50.0% rising
74 Turkmenistan 6 1000 t 2023 down 25.0% falling
74 Ukraine 6 1000 t 2023 down 14.3% falling
78 Costa Rica 5 1000 t 2023 up 25.0% rising
78 Ireland 5 1000 t 2023 up 25.0% rising
78 Lebanon 5 1000 t 2023 down 28.6% falling
78 North Macedonia 5 1000 t 2023 unchanged rising
78 Nicaragua 5 1000 t 2023 up 150.0% rising
78 Uruguay 5 1000 t 2023 up 25.0% rising
78 China, Taiwan Province of 5 1000 t 2023 up 25.0% rising
85 Denmark 4 1000 t 2023 unchanged falling
85 El Salvador 4 1000 t 2023 up 33.3% rising
85 Serbia 4 1000 t 2023 up 33.3% volatile
85 Slovenia 4 1000 t 2023 up 100.0% rising
85 Thailand 4 1000 t 2023 up 33.3% flat
85 Democratic Republic of the Congo 4 1000 t 2023 down 20.0% falling
91 Bahrain 3 1000 t 2023 falling
91 Bosnia and Herzegovina 3 1000 t 2023 unchanged flat
91 Kyrgyzstan 3 1000 t 2023 up 50.0% rising
91 Panama 3 1000 t 2023 unchanged falling
91 Paraguay 3 1000 t 2023 unchanged flat
91 Rwanda 3 1000 t 2023 up 200.0% volatile
91 Zambia 3 1000 t 2023 unchanged rising
91 Republic of Moldova 3 1000 t 2023 up 50.0% falling
99 Bulgaria 2 1000 t 2023 up 100.0% rising
99 Finland 2 1000 t 2023 unchanged rising
99 Croatia 2 1000 t 2023 unchanged flat
99 Hungary 2 1000 t 2023 unchanged flat
99 Israel 2 1000 t 2023 unchanged flat
99 Lithuania 2 1000 t 2023 unchanged falling
99 Mongolia 2 1000 t 2023 up 100.0% volatile
99 Namibia 2 1000 t 2023 unchanged rising
99 Romania 2 1000 t 2023 down 50.0% falling
99 Slovakia 2 1000 t 2023 up 100.0% rising
109 Congo 1 1000 t 2023 unchanged rising
109 Czechia 1 1000 t 2023 unchanged falling
109 Guyana 1 1000 t 2023 volatile
109 Honduras 1 1000 t 2023 unchanged flat
109 Haiti 1 1000 t 2023 unchanged flat
109 Latvia 1 1000 t 2023 unchanged falling
109 Madagascar 1 1000 t 2023 unchanged flat
109 Malta 1 1000 t 2023 unchanged flat
109 Montenegro 1 1000 t 2023 unchanged rising
109 Mauritius 1 1000 t 2023 unchanged flat
109 Norway 1 1000 t 2023 unchanged rising
109 Zimbabwe 1 1000 t 2023 volatile
121 Antigua and Barbuda 0 1000 t 2023 flat
121 Bahamas 0 1000 t 2023 flat
121 Barbados 0 1000 t 2023 flat
121 Bhutan 0 1000 t 2023 flat
121 Botswana 0 1000 t 2023 volatile
121 Switzerland 0 1000 t 2023 flat
121 Cyprus 0 1000 t 2023 down 100.0% volatile
121 Estonia 0 1000 t 2023 flat
121 Fiji 0 1000 t 2023 flat
121 Georgia 0 1000 t 2023 down 100.0% volatile
121 Guinea-Bissau 0 1000 t 2023 flat
121 Grenada 0 1000 t 2023 flat
121 Iceland 0 1000 t 2023 flat
121 Jamaica 0 1000 t 2023 flat
121 Cambodia 0 1000 t 2023 flat
121 Saint Kitts and Nevis 0 1000 t 2023 flat
121 Luxembourg 0 1000 t 2023 flat
121 Maldives 0 1000 t 2023 flat
121 New Zealand 0 1000 t 2019 flat
121 French Polynesia 0 1000 t 2023 flat
121 Sao Tome and Principe 0 1000 t 2023 flat
121 Suriname 0 1000 t 2023 down 100.0% volatile
121 Cabo Verde 0 1000 t 2023 down 100.0% volatile
121 Melanesia 0 1000 t 2023 flat
121 Polynesia 0 1000 t 2023 flat
121 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.

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
177 places, 2,429 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.