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
142
Highest
86,115 1000 t
Brazil
Lowest
0 1000 t
Yemen
Median
33.5 1000 t
Years covered
14
2010–2023
Data points
2,239

What the numbers show

Sugar Crops — Losses is currently reported for 142 countries. The highest value is 86,115 1000 t in Brazil; the lowest is 0 1000 t in Yemen.

The median across all reporting countries is 33.5 1000 t, and the mean is 1,031 1000 t.

Over the past decade 52 countries rose and 56 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 Colombia 1,704 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 Germany 1,697 1000 t 2023 up 6.1% rising
11 France 1,648 1000 t 2023 down 8.9% falling
12 Egypt 1,472 1000 t 2023 up 594.3% volatile
13 Myanmar 1,289 1000 t 2023 up 4.2% rising
14 Philippines 1,165 1000 t 2023 down 11.9% flat
15 Türkiye 1,147 1000 t 2023 up 56.5% rising
16 Mexico 1,120 1000 t 2023 down 8.5% rising
17 Cuba 914 1000 t 2019 up 46.5% rising
18 Thailand 905 1000 t 2023 down 6.3% flat
19 Iran (Islamic Republic of) 777 1000 t 2023 up 44.4% rising
20 Caribbean 720 1000 t 2023 down 44.2% falling
21 Peru 650 1000 t 2023 down 8.2% flat
22 Viet Nam 637 1000 t 2023 down 41.2% falling
23 Bolivia (Plurinational State of) 554 1000 t 2023 up 23.1% rising
24 Russian Federation 497 1000 t 2023 up 20.3% rising
25 United Kingdom of Great Britain and Northern Ireland 416 1000 t 2023 down 17.0% falling
26 Nicaragua 375 1000 t 2023 up 3.6% rising
27 Netherlands (Kingdom of the) 372 1000 t 2023 up 1.4% rising
28 Paraguay 369 1000 t 2023 up 23.8% rising
29 Zimbabwe 307 1000 t 2023 up 44.1% rising
30 Eswatini 303 1000 t 2023 up 3.8% rising
31 Kenya 299 1000 t 2023 down 16.7% rising
32 Zambia 278 1000 t 2023 up 12.6% rising
33 Guatemala 264 1000 t 2023 down 1.9% rising
34 Dominican Republic 241 1000 t 2023 down 6.2% rising
35 Czechia 214 1000 t 2023 down 10.1% flat
36 Costa Rica 188 1000 t 2023 down 20.7% flat
37 Madagascar 170 1000 t 2023 up 9.0% rising
38 Nepal 168 1000 t 2023 up 6.3% rising
39 Spain 155 1000 t 2023 down 22.5% falling
40 Congo 152 1000 t 2023 up 10.1% rising
41 Nigeria 151 1000 t 2023 down 79.8% volatile
42 Austria 142 1000 t 2023 down 23.7% falling
43 Malawi 136 1000 t 2023 down 20.9% flat
44 Mauritius 132 1000 t 2023 down 35.6% falling
45 Democratic Republic of the Congo 116 1000 t 2023 up 7.4% rising
46 Serbia 102 1000 t 2023 down 36.6% falling
47 Morocco 100 1000 t 2023 down 32.9% flat
48 Mozambique 95 1000 t 2023 up 50.8% rising
48 Melanesia 95 1000 t 2023 down 8.7% falling
50 Ukraine 89 1000 t 2023 up 206.9% rising
51 Lao People's Democratic Republic 86 1000 t 2023 up 45.8% flat
52 Fiji 84 1000 t 2023 down 3.4% falling
53 Haiti 83 1000 t 2023 up 3.8% rising
54 Switzerland 82 1000 t 2023 down 20.4% flat
55 Belize 80 1000 t 2023 up 37.9% rising
56 Slovakia 76 1000 t 2023 up 22.6% rising
57 Ecuador 65 1000 t 2023 down 84.3% falling
58 Honduras 63 1000 t 2023 up 5.0% rising
58 Lithuania 63 1000 t 2023 up 14.5% rising
60 Uganda 62 1000 t 2023 up 63.2% rising
61 Senegal 58 1000 t 2023 up 13.7% rising
62 Angola 53 1000 t 2023 up 96.3% rising
63 Ethiopia 51 1000 t 2023 down 32.0% rising
63 Guyana 51 1000 t 2023 down 61.4% falling
63 United Republic of Tanzania 51 1000 t 2023 up 21.4% rising
66 Hungary 46 1000 t 2023 down 14.8% falling
67 Cambodia 45 1000 t 2023 up 2.3% rising
68 Canada 44 1000 t 2023 up 37.5% rising
69 Sri Lanka 43 1000 t 2023 down 17.3% flat
70 El Salvador 36 1000 t 2023 down 2.7% rising
71 Belgium 35 1000 t 2023 unchanged rising
72 Chile 32 1000 t 2023 down 68.3% falling
73 Niger 31 1000 t 2023 up 210.0% rising
74 Uruguay 29 1000 t 2023 up 45.0% rising
75 Burkina Faso 27 1000 t 2023 up 3.8% flat
76 Belarus 25 1000 t 2023 up 13.6% rising
76 Croatia 25 1000 t 2023 down 66.7% falling
78 Finland 23 1000 t 2023 down 11.5% falling
78 Republic of Moldova 23 1000 t 2023 down 57.4% falling
78 China, Taiwan Province of 23 1000 t 2023 down 20.7% falling
81 Jamaica 22 1000 t 2023 down 70.7% falling
81 Côte d'Ivoire 22 1000 t 2023 up 15.8% rising
83 Cameroon 20 1000 t 2023 down 16.7% falling
84 Argentina 18 1000 t 2023 down 30.8% falling
85 Guinea 17 1000 t 2023 up 6.2% rising
86 Gabon 16 1000 t 2023 unchanged rising
87 Liberia 15 1000 t 2023 up 7.1% rising
87 Poland 15 1000 t 2023 up 25.0% rising
89 Italy 14 1000 t 2023 down 30.0% falling
90 Kyrgyzstan 11 1000 t 2023 up 10.0% rising
90 Papua New Guinea 11 1000 t 2023 down 35.3% falling
92 Ghana 8 1000 t 2023 unchanged flat
92 Kazakhstan 8 1000 t 2023 up 700.0% volatile
94 Suriname 7 1000 t 2023 up 16.7% rising
95 Rwanda 6 1000 t 2023 up 20.0% rising
95 Sweden 6 1000 t 2023 unchanged falling
97 Azerbaijan 5 1000 t 2023 down 50.0% volatile
97 Tunisia 5 1000 t 2023 up 150.0% rising
99 Barbados 4 1000 t 2023 down 55.6% falling
99 Sierra Leone 4 1000 t 2023 unchanged flat
99 Turkmenistan 4 1000 t 2023 down 69.2% falling
102 Afghanistan 3 1000 t 2023 down 50.0% volatile
102 Armenia 3 1000 t 2023 unchanged rising
102 Bahamas 3 1000 t 2023 unchanged flat
102 Romania 3 1000 t 2023 down 50.0% volatile
102 Venezuela (Bolivarian Republic of) 3 1000 t 2023 up 200.0% volatile
107 Bangladesh 2 1000 t 2023 down 33.3% falling
107 Iraq 2 1000 t 2023 unchanged flat
107 Syrian Arab Republic 2 1000 t 2023 down 87.5% volatile
110 Albania 1 1000 t 2023 down 50.0% falling
110 Malaysia 1 1000 t 2023 down 80.0% volatile
110 French Polynesia 1 1000 t 2023 unchanged flat
110 Cabo Verde 1 1000 t 2023 down 50.0% falling
110 Polynesia 1 1000 t 2023 unchanged flat
115 Antigua and Barbuda 0 1000 t 2019 flat
115 Bulgaria 0 1000 t 2019 flat
115 Bahrain 0 1000 t 2023 flat
115 Bosnia and Herzegovina 0 1000 t 2023 flat
115 Bhutan 0 1000 t 2023 flat
115 Djibouti 0 1000 t 2023 flat
115 Denmark 0 1000 t 2019 flat
115 Algeria 0 1000 t 2019 flat
115 Estonia 0 1000 t 2019 flat
115 Georgia 0 1000 t 2019 flat
115 Guinea-Bissau 0 1000 t 2023 flat
115 Greece 0 1000 t 2023 down 100.0% volatile
115 Grenada 0 1000 t 2023 flat
115 Ireland 0 1000 t 2023 down 100.0% volatile
115 Israel 0 1000 t 2019 flat
115 Saint Kitts and Nevis 0 1000 t 2019 flat
115 Lebanon 0 1000 t 2023 flat
115 Saint Lucia 0 1000 t 2019 flat
115 Latvia 0 1000 t 2019 flat
115 North Macedonia 0 1000 t 2023 flat
115 Oman 0 1000 t 2023 flat
115 Panama 0 1000 t 2022 down 100.0% volatile
115 Portugal 0 1000 t 2023 down 100.0% volatile
115 Slovenia 0 1000 t 2023 flat
115 Trinidad and Tobago 0 1000 t 2019 flat
115 Uzbekistan 0 1000 t 2019 flat
115 Samoa 0 1000 t 2023 flat
115 Yemen 0 1000 t 2019 flat

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
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
173 places, 2,239 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.