Sugar (Raw Equivalent) — Production 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
127
Highest
45,753 1000 t
Brazil
Lowest
0 1000 t
Uzbekistan
Median
148 1000 t
Years covered
14
2010–2023
Data points
2,135

What the numbers show

Sugar (Raw Equivalent) — Production is currently reported for 127 countries. The highest value is 45,753 1000 t in Brazil; the lowest is 0 1000 t in Uzbekistan.

The median across all reporting countries is 148 1000 t, and the mean is 1,537 1000 t.

Over the past decade 38 countries rose and 70 fell. The largest increase was in Myanmar (up 916.7%), and the largest decrease in Greece (down 100.0%).

Sugar (Raw Equivalent) — Production: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 45,753 1000 t 2023 up 15.8% flat
2 India 37,000 1000 t 2023 up 33.4% rising
3 Thailand 10,269 1000 t 2023 up 2.4% rising
4 China 9,945 1000 t 2023 down 33.2% falling
5 China, mainland 9,900 1000 t 2023 down 33.3% falling
6 Pakistan 6,757 1000 t 2023 up 19.8% rising
7 Russian Federation 6,554 1000 t 2023 down 33.9% falling
8 Mexico 5,545 1000 t 2023 down 20.5% rising
9 Germany 4,555 1000 t 2023 down 37.0% falling
10 Australia 4,188 1000 t 2023 down 2.6% flat
10 Australia and New Zealand 4,188 1000 t 2023 down 2.6% flat
12 France 4,148 1000 t 2023 down 4.2% flat
13 Türkiye 2,938 1000 t 2023 up 25.0% rising
14 Poland 2,766 1000 t 2023 up 43.1% rising
15 Egypt 2,600 1000 t 2023 up 24.7% rising
16 Guatemala 2,548 1000 t 2023 down 5.3% rising
17 Indonesia 2,271 1000 t 2023 down 1.3% rising
18 Philippines 2,000 1000 t 2023 down 18.4% falling
19 Colombia 1,957 1000 t 2023 down 8.0% flat
20 Ukraine 1,850 1000 t 2023 up 46.6% falling
21 Viet Nam 1,790 1000 t 2023 up 1.4% rising
22 Argentina 1,711 1000 t 2023 down 4.4% falling
23 Iran (Islamic Republic of) 1,440 1000 t 2023 up 28.2% flat
24 Netherlands (Kingdom of the) 1,320 1000 t 2023 down 35.9% falling
25 Cuba 1,211 1000 t 2019 up 4.3% rising
26 United Kingdom of Great Britain and Northern Ireland 1,078 1000 t 2023 down 62.5% falling
27 Peru 1,063 1000 t 2023 down 9.5% flat
28 Caribbean 926 1000 t 2023 down 58.5% falling
29 Belgium 840 1000 t 2023 down 50.5% falling
30 El Salvador 765 1000 t 2023 up 7.6% rising
31 Nicaragua 763 1000 t 2023 up 2.0% rising
32 Czechia 652 1000 t 2023 down 44.4% falling
33 Belarus 630 1000 t 2023 down 5.3% rising
34 Uganda 600 1000 t 2023 up 37.0% rising
35 Eswatini 599 1000 t 2023 down 12.3% flat
36 Honduras 527 1000 t 2023 up 4.8% rising
37 Bolivia (Plurinational State of) 525 1000 t 2023 up 5.2% rising
38 Venezuela (Bolivarian Republic of) 478 1000 t 2023 down 1.8% falling
39 Kenya 473 1000 t 2023 down 21.2% rising
40 Dominican Republic 471 1000 t 2023 down 13.4% rising
41 Zambia 467 1000 t 2023 up 4.2% rising
42 Austria 460 1000 t 2023 down 11.9% falling
43 Ethiopia 440 1000 t 2023 up 24.6% rising
44 Ecuador 420 1000 t 2023 down 30.9% falling
45 Spain 401 1000 t 2023 down 37.1% falling
46 Morocco 395 1000 t 2023 down 23.9% falling
47 United Republic of Tanzania 385 1000 t 2023 up 28.8% rising
48 Denmark 383 1000 t 2023 down 23.7% falling
49 Zimbabwe 371 1000 t 2023 down 24.0% falling
50 Costa Rica 350 1000 t 2023 down 23.6% flat
51 Sweden 312 1000 t 2023 down 62.0% falling
52 Serbia 297 1000 t 2023 down 40.7% falling
53 Myanmar 244 1000 t 2023 up 916.7% volatile
54 Mauritius 239 1000 t 2023 down 41.0% falling
55 Côte d'Ivoire 225 1000 t 2023 up 18.4% rising
56 Malawi 221 1000 t 2023 down 28.5% falling
57 Italy 200 1000 t 2023 down 67.8% volatile
58 Lithuania 190 1000 t 2023 down 47.2% falling
59 Slovakia 188 1000 t 2023 unchanged rising
60 Switzerland 186 1000 t 2023 down 61.6% falling
61 Melanesia 172 1000 t 2023 down 35.1% falling
62 Mozambique 155 1000 t 2023 down 59.5% falling
62 Lao People's Democratic Republic 155 1000 t 2023 up 80.2% rising
64 Panama 148 1000 t 2023 down 18.2% falling
65 Belize 146 1000 t 2023 up 23.7% rising
66 Senegal 141 1000 t 2023 up 30.6% rising
67 Angola 140 1000 t 2023 up 174.5% rising
67 Fiji 140 1000 t 2023 down 39.7% falling
69 Hungary 131 1000 t 2023 down 48.0% falling
69 Paraguay 131 1000 t 2023 down 41.5% falling
71 Canada 130 1000 t 2023 up 22.6% rising
72 Cambodia 120 1000 t 2023 up 118.2% volatile
72 Nepal 120 1000 t 2023 down 7.0% rising
74 Croatia 95 1000 t 2023 down 76.4% volatile
75 Madagascar 91 1000 t 2023 up 18.2% rising
76 Cameroon 87 1000 t 2023 down 30.4% falling
77 Chile 84 1000 t 2023 down 70.7% falling
78 Bangladesh 81 1000 t 2023 down 30.2% falling
79 Democratic Republic of the Congo 80 1000 t 2023 unchanged flat
80 Kyrgyzstan 79 1000 t 2023 up 192.6% volatile
81 Congo 70 1000 t 2023 down 5.4% rising
82 Finland 68 1000 t 2023 down 8.1% falling
83 Sri Lanka 66 1000 t 2023 up 24.5% rising
84 Guyana 60 1000 t 2023 down 68.3% falling
84 Niger 60 1000 t 2023 up 233.3% volatile
84 Republic of Moldova 60 1000 t 2023 down 57.1% falling
87 Romania 53 1000 t 2023 down 66.0% falling
88 Kazakhstan 52 1000 t 2023 up 300.0% volatile
89 China, Taiwan Province of 45 1000 t 2023 down 4.3% falling
90 Jamaica 35 1000 t 2023 down 70.8% falling
91 Papua New Guinea 32 1000 t 2023 down 3.0% falling
92 Burkina Faso 30 1000 t 2023 down 9.1% falling
93 Nigeria 28 1000 t 2023 up 154.5% rising
94 Gabon 26 1000 t 2023 down 7.1% falling
95 Uruguay 25 1000 t 2023 up 8.7% rising
96 Guinea 23 1000 t 2023 down 8.0% falling
97 Azerbaijan 22 1000 t 2023 up 15.8% rising
98 Tunisia 15 1000 t 2023 up 400.0% volatile
99 Haiti 13 1000 t 2023 unchanged rising
100 Turkmenistan 12 1000 t 2023 up 20.0% falling
101 Rwanda 11 1000 t 2023 unchanged rising
102 Sierra Leone 10 1000 t 2023 up 66.7% rising
103 Armenia 7 1000 t 2023 down 12.5% rising
103 Barbados 7 1000 t 2023 down 58.8% volatile
105 Syrian Arab Republic 6 1000 t 2023 down 89.5% volatile
106 Liberia 5 1000 t 2023 unchanged flat
107 Suriname 3 1000 t 2023 down 50.0% falling
108 Afghanistan 2 1000 t 2023 unchanged volatile
108 Albania 2 1000 t 2023 down 50.0% falling
108 Saint Vincent and the Grenadines 2 1000 t 2015 unchanged flat
111 Malaysia 1 1000 t 2023 down 96.4% volatile
112 Antigua and Barbuda 0 1000 t 2014 flat
112 Djibouti 0 1000 t 2023 flat
112 Algeria 0 1000 t 2018 flat
112 Georgia 0 1000 t 2015 flat
112 Ghana 0 1000 t 2014 flat
112 Greece 0 1000 t 2023 down 100.0% volatile
112 Grenada 0 1000 t 2019 flat
112 Ireland 0 1000 t 2020 volatile
112 Iraq 0 1000 t 2023 down 100.0% volatile
112 Iceland 0 1000 t 2023 flat
112 Lebanon 0 1000 t 2020 flat
112 North Macedonia 0 1000 t 2023 down 100.0% volatile
112 Norway 0 1000 t 2023 flat
112 Portugal 0 1000 t 2023 down 100.0% volatile
112 Trinidad and Tobago 0 1000 t 2014 flat
112 Uzbekistan 0 1000 t 2023 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 (Raw Equivalent) — Production
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
158 places, 2,135 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.