Sugar cane — 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
85
Highest
86,115 1000 t
Brazil
Lowest
0 1000 t
Panama
Median
84 1000 t
Years covered
14
2010–2023
Data points
1,739

What the numbers show

Sugar cane — Losses is currently reported for 85 countries. The highest value is 86,115 1000 t in Brazil; the lowest is 0 1000 t in Panama.

The median across all reporting countries is 84 1000 t, and the mean is 1,637 1000 t.

Over the past decade 41 countries rose and 37 fell. The largest increase was in Egypt (up 559.9%), and the largest decrease in Panama (down 100.0%).

Sugar cane — 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 5,342 1000 t 2023 down 17.0% falling
4 China, mainland 5,319 1000 t 2023 down 17.0% falling
5 Pakistan 4,714 1000 t 2023 up 29.9% rising
6 Indonesia 1,851 1000 t 2023 up 21.1% rising
7 Colombia 1,702 1000 t 2023 down 9.3% falling
8 Australia 1,698 1000 t 2023 up 16.3% falling
8 Australia and New Zealand 1,698 1000 t 2023 up 16.3% falling
10 Myanmar 1,289 1000 t 2023 up 4.2% rising
11 Philippines 1,165 1000 t 2023 down 11.9% flat
12 Mexico 1,120 1000 t 2023 down 8.5% rising
13 Cuba 914 1000 t 2019 up 46.5% rising
14 Thailand 905 1000 t 2023 down 6.3% flat
15 Egypt 904 1000 t 2023 up 559.9% volatile
16 United States 884 1000 t 2023 up 8.3% rising
17 Caribbean 719 1000 t 2023 down 44.3% falling
18 Peru 650 1000 t 2023 down 8.2% flat
19 Vietnam 637 1000 t 2023 down 41.2% falling
19 Viet Nam 637 1000 t 2023 down 41.2% falling
21 Bolivia (Plurinational State of) 554 1000 t 2023 up 23.1% rising
22 Iran (Islamic Republic of) 484 1000 t 2023 up 37.5% rising
23 Nicaragua 375 1000 t 2023 up 3.6% rising
24 Paraguay 369 1000 t 2023 up 23.8% rising
25 Zimbabwe 307 1000 t 2023 up 44.1% rising
26 Eswatini 303 1000 t 2023 up 3.8% rising
27 Kenya 299 1000 t 2023 down 16.7% rising
28 Zambia 278 1000 t 2023 up 12.6% rising
29 Guatemala 264 1000 t 2023 down 1.9% rising
30 Dominican Republic 240 1000 t 2023 down 6.6% rising
31 Costa Rica 188 1000 t 2023 down 20.7% flat
32 Madagascar 170 1000 t 2023 up 9.0% rising
33 Nepal 168 1000 t 2023 up 6.3% rising
34 Congo 152 1000 t 2023 up 10.1% rising
35 Nigeria 151 1000 t 2023 down 79.8% volatile
36 Malawi 136 1000 t 2023 down 20.9% flat
37 Mauritius 132 1000 t 2023 down 35.6% falling
38 Democratic Republic of the Congo 116 1000 t 2023 up 7.4% rising
39 Mozambique 95 1000 t 2023 up 50.8% rising
39 Melanesia 95 1000 t 2023 down 8.7% falling
41 Laos 86 1000 t 2023 up 45.8% flat
41 Lao People's Democratic Republic 86 1000 t 2023 up 45.8% flat
43 Fiji 84 1000 t 2023 down 3.4% falling
44 Haiti 83 1000 t 2023 up 3.8% rising
45 Belize 80 1000 t 2023 up 37.9% rising
46 Ecuador 65 1000 t 2023 down 84.3% falling
47 Honduras 63 1000 t 2023 up 5.0% rising
48 Uganda 62 1000 t 2023 up 63.2% rising
49 Senegal 58 1000 t 2023 up 13.7% rising
50 Angola 53 1000 t 2023 up 96.3% rising
51 Ethiopia 51 1000 t 2023 down 32.0% rising
51 Guyana 51 1000 t 2023 down 61.4% falling
51 United Republic of Tanzania 51 1000 t 2023 up 21.4% rising
54 Cambodia 45 1000 t 2023 up 2.3% rising
55 Sri Lanka 43 1000 t 2023 down 17.3% flat
56 El Salvador 36 1000 t 2023 down 2.7% rising
57 Niger 31 1000 t 2023 up 210.0% rising
58 Uruguay 29 1000 t 2023 up 45.0% rising
59 Burkina Faso 27 1000 t 2023 up 3.8% flat
60 China, Taiwan Province of 23 1000 t 2023 down 20.7% falling
61 Cote d'Ivoire 22 1000 t 2023 up 15.8% rising
61 Jamaica 22 1000 t 2023 down 70.7% falling
61 Côte d'Ivoire 22 1000 t 2023 up 15.8% rising
64 Morocco 21 1000 t 2023 down 36.4% falling
65 Cameroon 20 1000 t 2023 down 16.7% falling
66 Argentina 18 1000 t 2023 down 30.8% falling
67 Guinea 17 1000 t 2023 up 6.2% rising
67 South Africa 17 1000 t 2023 down 98.3% falling
69 Gabon 16 1000 t 2023 unchanged rising
70 Liberia 15 1000 t 2023 up 7.1% rising
71 Papua New Guinea 11 1000 t 2023 down 35.3% falling
72 Ghana 8 1000 t 2023 unchanged flat
73 Suriname 7 1000 t 2023 up 16.7% rising
74 Rwanda 6 1000 t 2023 up 20.0% rising
75 Barbados 4 1000 t 2023 down 55.6% falling
75 Sierra Leone 4 1000 t 2023 unchanged flat
77 Afghanistan 3 1000 t 2023 down 40.0% falling
77 Bahamas 3 1000 t 2023 unchanged flat
79 Bangladesh 2 1000 t 2023 down 33.3% falling
80 Malaysia 1 1000 t 2023 down 80.0% volatile
80 French Polynesia 1 1000 t 2023 unchanged flat
80 Cabo Verde 1 1000 t 2023 down 50.0% falling
80 Polynesia 1 1000 t 2023 unchanged flat
84 Iraq 0 1000 t 2023 — volatile
84 Panama 0 1000 t 2022 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 cane — 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-cane-losses/

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About this data

Indicator
Sugar cane — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
133 places, 1,739 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.