Sugar Crops — 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
128
Highest
86,115 1000 t
Brazil
Lowest
0 1000 t
Portugal
Median
63 1000 t
Years covered
14
2010–2023
Data points
2,357

What the numbers show

Sugar Crops — Losses is currently reported for 128 countries. The highest value is 86,115 1000 t in Brazil; the lowest is 0 1000 t in Portugal.

The median across all reporting countries is 63 1000 t, and the mean is 1,180 1000 t.

Over the past decade 57 countries rose and 61 fell. The largest increase was in Kazakhstan (up 700.0%), and the largest decrease in Greece (down 100.0%).

Sugar Crops — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 86,115 1000 t 2023 up 1.9% flat
2 India 14,615 1000 t 2023 up 75.8% rising
3 China 5,791 1000 t 2023 down 16.1% falling
4 China, mainland 5,768 1000 t 2023 down 16.1% falling
5 Pakistan 4,715 1000 t 2023 up 30.0% rising
6 Indonesia 1,851 1000 t 2023 up 21.1% rising
7 United States 1,827 1000 t 2023 up 10.4% flat
8 Colombia 1,704 1000 t 2023 down 9.3% falling
9 Australia 1,698 1000 t 2023 up 16.3% falling
9 Australia and New Zealand 1,698 1000 t 2023 up 16.3% falling
11 Germany 1,697 1000 t 2023 up 6.1% rising
12 France 1,648 1000 t 2023 down 8.9% falling
13 Egypt 1,472 1000 t 2023 up 594.3% volatile
14 Myanmar 1,289 1000 t 2023 up 4.2% rising
15 Philippines 1,165 1000 t 2023 down 11.9% flat
16 Turkey 1,147 1000 t 2023 up 56.5% rising
16 Türkiye 1,147 1000 t 2023 up 56.5% rising
18 Mexico 1,120 1000 t 2023 down 8.5% rising
19 Cuba 914 1000 t 2019 up 46.5% rising
20 Thailand 905 1000 t 2023 down 6.3% flat
21 Iran (Islamic Republic of) 777 1000 t 2023 up 44.4% rising
22 Caribbean 720 1000 t 2023 down 44.2% falling
23 Peru 650 1000 t 2023 down 8.2% flat
24 Vietnam 637 1000 t 2023 down 41.2% falling
24 Viet Nam 637 1000 t 2023 down 41.2% falling
26 Bolivia (Plurinational State of) 554 1000 t 2023 up 23.1% rising
27 Russia 497 1000 t 2023 up 20.3% rising
27 Russian Federation 497 1000 t 2023 up 20.3% rising
29 United Kingdom 416 1000 t 2023 down 17.0% falling
29 United Kingdom of Great Britain and Northern Ireland 416 1000 t 2023 down 17.0% falling
31 Nicaragua 375 1000 t 2023 up 3.6% rising
32 Netherlands (Kingdom of the) 372 1000 t 2023 up 1.4% rising
33 Paraguay 369 1000 t 2023 up 23.8% rising
34 Zimbabwe 307 1000 t 2023 up 44.1% rising
35 Eswatini 303 1000 t 2023 up 3.8% rising
36 Kenya 299 1000 t 2023 down 16.7% rising
37 Zambia 278 1000 t 2023 up 12.6% rising
38 Guatemala 264 1000 t 2023 down 1.9% rising
39 Dominican Republic 241 1000 t 2023 down 6.2% rising
40 Czechia 214 1000 t 2023 down 10.1% flat
41 Costa Rica 188 1000 t 2023 down 20.7% flat
42 Madagascar 170 1000 t 2023 up 9.0% rising
43 Nepal 168 1000 t 2023 up 6.3% rising
44 Spain 155 1000 t 2023 down 22.5% falling
45 Congo 152 1000 t 2023 up 10.1% rising
46 Nigeria 151 1000 t 2023 down 79.8% volatile
47 Austria 142 1000 t 2023 down 23.7% falling
48 Malawi 136 1000 t 2023 down 20.9% flat
49 Mauritius 132 1000 t 2023 down 35.6% falling
50 Democratic Republic of the Congo 116 1000 t 2023 up 7.4% rising
51 Serbia 102 1000 t 2023 down 36.6% falling
52 Morocco 100 1000 t 2023 down 32.9% flat
53 Mozambique 95 1000 t 2023 up 50.8% rising
53 Melanesia 95 1000 t 2023 down 8.7% falling
55 Ukraine 89 1000 t 2023 up 206.9% rising
56 Laos 86 1000 t 2023 up 45.8% flat
56 Lao People's Democratic Republic 86 1000 t 2023 up 45.8% flat
58 Fiji 84 1000 t 2023 down 3.4% falling
59 Haiti 83 1000 t 2023 up 3.8% rising
60 Switzerland 82 1000 t 2023 down 20.4% flat
61 Belize 80 1000 t 2023 up 37.9% rising
62 Slovakia 76 1000 t 2023 up 22.6% rising
63 Ecuador 65 1000 t 2023 down 84.3% falling
64 Honduras 63 1000 t 2023 up 5.0% rising
64 Lithuania 63 1000 t 2023 up 14.5% rising
66 Uganda 62 1000 t 2023 up 63.2% rising
67 Senegal 58 1000 t 2023 up 13.7% rising
68 Angola 53 1000 t 2023 up 96.3% rising
69 Ethiopia 51 1000 t 2023 down 32.0% rising
69 Guyana 51 1000 t 2023 down 61.4% falling
69 United Republic of Tanzania 51 1000 t 2023 up 21.4% rising
72 Hungary 46 1000 t 2023 down 14.8% falling
73 Cambodia 45 1000 t 2023 up 2.3% rising
74 Canada 44 1000 t 2023 up 37.5% rising
75 Sri Lanka 43 1000 t 2023 down 17.3% flat
76 El Salvador 36 1000 t 2023 down 2.7% rising
77 Belgium 35 1000 t 2023 unchanged rising
78 Chile 32 1000 t 2023 down 68.3% falling
79 Niger 31 1000 t 2023 up 210.0% rising
80 Uruguay 29 1000 t 2023 up 45.0% rising
81 Burkina Faso 27 1000 t 2023 up 3.8% flat
82 Belarus 25 1000 t 2023 up 13.6% rising
82 Croatia 25 1000 t 2023 down 66.7% falling
84 Finland 23 1000 t 2023 down 11.5% falling
84 Moldova 23 1000 t 2023 down 57.4% falling
84 Republic of Moldova 23 1000 t 2023 down 57.4% falling
84 China, Taiwan Province of 23 1000 t 2023 down 20.7% falling
88 Cote d'Ivoire 22 1000 t 2023 up 15.8% rising
88 Jamaica 22 1000 t 2023 down 70.7% falling
88 Côte d'Ivoire 22 1000 t 2023 up 15.8% rising
91 Cameroon 20 1000 t 2023 down 16.7% falling
92 Argentina 18 1000 t 2023 down 30.8% falling
93 Guinea 17 1000 t 2023 up 6.2% rising
93 South Africa 17 1000 t 2023 down 98.3% falling
95 Gabon 16 1000 t 2023 unchanged rising
96 Liberia 15 1000 t 2023 up 7.1% rising
96 Poland 15 1000 t 2023 up 25.0% rising
98 Italy 14 1000 t 2023 down 30.0% falling
99 Kyrgyzstan 11 1000 t 2023 up 10.0% rising
99 Papua New Guinea 11 1000 t 2023 down 35.3% falling
101 Ghana 8 1000 t 2023 unchanged flat
101 Kazakhstan 8 1000 t 2023 up 700.0% volatile
103 Suriname 7 1000 t 2023 up 16.7% rising
104 Rwanda 6 1000 t 2023 up 20.0% rising
104 Sweden 6 1000 t 2023 unchanged falling
106 Azerbaijan 5 1000 t 2023 down 50.0% volatile
106 Tunisia 5 1000 t 2023 up 150.0% rising
108 Barbados 4 1000 t 2023 down 55.6% falling
108 Sierra Leone 4 1000 t 2023 unchanged flat
108 Turkmenistan 4 1000 t 2023 down 69.2% falling
111 Afghanistan 3 1000 t 2023 down 50.0% volatile
111 Armenia 3 1000 t 2023 unchanged rising
111 Bahamas 3 1000 t 2023 unchanged flat
111 Romania 3 1000 t 2023 down 50.0% volatile
111 Venezuela (Bolivarian Republic of) 3 1000 t 2023 up 200.0% volatile
116 Bangladesh 2 1000 t 2023 down 33.3% falling
116 Iraq 2 1000 t 2023 unchanged flat
116 Syria 2 1000 t 2023 down 87.5% volatile
116 Syrian Arab Republic 2 1000 t 2023 down 87.5% volatile
120 Albania 1 1000 t 2023 down 50.0% falling
120 Malaysia 1 1000 t 2023 down 80.0% volatile
120 French Polynesia 1 1000 t 2023 unchanged flat
120 Cabo Verde 1 1000 t 2023 down 50.0% falling
120 Polynesia 1 1000 t 2023 unchanged flat
125 Greece 0 1000 t 2023 down 100.0% volatile
125 Ireland 0 1000 t 2023 down 100.0% volatile
125 Panama 0 1000 t 2022 down 100.0% volatile
125 Portugal 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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Sugar Crops — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 29 September 2026, from https://agriculture.statizoid.com/stat/sugar-crops-losses/

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About this data

Indicator
Sugar Crops — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
182 places, 2,357 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.