Sugar (Raw Equivalent) — Export quantity 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
169
Highest
31,762 1000 t
Brazil
Lowest
0 1000 t
China, Macao SAR
Median
16 1000 t
Years covered
14
2010–2023
Data points
2,700
What the numbers show
Sugar (Raw Equivalent) — Export quantity is currently reported for 169 countries. The highest value is 31,762 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 16 1000 t, and the mean is 442.91 1000 t.
Over the past decade 53 countries rose and 65 fell. The largest increase was in Morocco (up 2,403.8%), and the largest decrease in Sri Lanka (down 100.0%).
Sugar (Raw Equivalent) — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 31,762 1000 t | 2023 | up 14.5% | rising |
| 2 | India | 7,115 1000 t | 2023 | up 233.6% | volatile |
| 3 | Thailand | 6,905 1000 t | 2023 | up 10.0% | rising |
| 4 | France | 1,691 1000 t | 2023 | down 16.6% | falling |
| 5 | Germany | 1,571 1000 t | 2023 | up 29.2% | rising |
| 6 | Australia and New Zealand | 1,458 1000 t | 2023 | down 50.3% | flat |
| 7 | Australia | 1,426 1000 t | 2023 | down 50.8% | flat |
| 8 | Guatemala | 1,271 1000 t | 2023 | down 35.4% | falling |
| 9 | Mexico | 1,045 1000 t | 2023 | down 65.3% | falling |
| 10 | Netherlands (Kingdom of the) | 923 1000 t | 2023 | up 86.5% | rising |
| 11 | Poland | 878 1000 t | 2023 | up 41.6% | rising |
| 12 | United Arab Emirates | 846 1000 t | 2023 | down 6.6% | rising |
| 13 | China | 788 1000 t | 2023 | up 109.0% | rising |
| 14 | Colombia | 780 1000 t | 2023 | up 3.6% | falling |
| 15 | China, mainland | 744 1000 t | 2023 | up 131.1% | rising |
| 16 | Cuba | 738 1000 t | 2019 | up 32.0% | rising |
| 17 | Belgium | 737 1000 t | 2023 | down 5.1% | falling |
| 18 | Saudi Arabia | 720 1000 t | 2023 | up 93.5% | rising |
| 19 | Egypt | 657 1000 t | 2023 | up 114.7% | rising |
| 20 | Ukraine | 654 1000 t | 2023 | up 197.3% | volatile |
| 21 | Morocco | 651 1000 t | 2023 | up 2,403.8% | volatile |
| 22 | Djibouti | 645 1000 t | 2023 | up 491.7% | volatile |
| 23 | Russian Federation | 634 1000 t | 2023 | up 581.7% | volatile |
| 24 | Eswatini | 628 1000 t | 2023 | up 8.1% | rising |
| 25 | El Salvador | 531 1000 t | 2023 | up 12.7% | rising |
| 26 | Lao People's Democratic Republic | 502 1000 t | 2023 | up 1,221.0% | volatile |
| 27 | Czechia | 441 1000 t | 2023 | up 10.8% | rising |
| 28 | Caribbean | 429 1000 t | 2023 | down 65.4% | falling |
| 29 | Nicaragua | 418 1000 t | 2023 | up 5.0% | rising |
| 30 | Türkiye | 408 1000 t | 2023 | up 58.8% | rising |
| 31 | Spain | 356 1000 t | 2023 | up 41.8% | rising |
| 32 | Portugal | 348 1000 t | 2023 | up 42.6% | rising |
| 33 | Mauritius | 328 1000 t | 2023 | down 27.1% | falling |
| 34 | Pakistan | 319 1000 t | 2023 | down 72.6% | volatile |
| 35 | Republic of Korea | 287 1000 t | 2023 | down 35.4% | falling |
| 36 | Malaysia | 270 1000 t | 2023 | down 25.2% | falling |
| 37 | Indonesia | 255 1000 t | 2023 | up 372.2% | volatile |
| 38 | Denmark | 249 1000 t | 2023 | down 15.3% | falling |
| 39 | Canada | 217 1000 t | 2023 | up 5.3% | falling |
| 40 | Zambia | 196 1000 t | 2023 | down 10.5% | falling |
| 41 | Honduras | 186 1000 t | 2023 | up 8.1% | rising |
| 42 | Dominican Republic | 182 1000 t | 2023 | down 1.6% | falling |
| 43 | Austria | 166 1000 t | 2023 | down 22.1% | falling |
| 44 | Algeria | 146 1000 t | 2023 | down 71.7% | rising |
| 45 | Costa Rica | 140 1000 t | 2023 | down 39.1% | rising |
| 46 | Belize | 139 1000 t | 2023 | up 29.9% | rising |
| 47 | Romania | 138 1000 t | 2023 | up 53.3% | falling |
| 48 | Peru | 137 1000 t | 2023 | up 29.2% | rising |
| 49 | Cambodia | 133 1000 t | 2023 | up 98.5% | volatile |
| 50 | Viet Nam | 125 1000 t | 2023 | up 278.8% | volatile |
| 51 | Bulgaria | 121 1000 t | 2023 | up 317.2% | volatile |
| 52 | United Kingdom of Great Britain and Northern Ireland | 119 1000 t | 2023 | down 62.1% | falling |
| 53 | Slovakia | 118 1000 t | 2023 | down 54.8% | falling |
| 54 | Fiji | 115 1000 t | 2023 | up 25.0% | falling |
| 54 | Melanesia | 115 1000 t | 2023 | up 25.0% | falling |
| 56 | Croatia | 114 1000 t | 2023 | up 7.5% | falling |
| 57 | Myanmar | 112 1000 t | 2023 | up 2,140.0% | volatile |
| 58 | Uganda | 107 1000 t | 2023 | down 20.1% | rising |
| 59 | Bolivia (Plurinational State of) | 104 1000 t | 2023 | down 36.2% | volatile |
| 60 | Lithuania | 97 1000 t | 2023 | down 11.8% | rising |
| 61 | Argentina | 94 1000 t | 2023 | down 71.0% | falling |
| 61 | Italy | 94 1000 t | 2023 | down 32.4% | rising |
| 63 | Sweden | 92 1000 t | 2023 | down 5.2% | falling |
| 64 | Zimbabwe | 84 1000 t | 2023 | down 45.8% | falling |
| 65 | Hungary | 77 1000 t | 2023 | down 67.4% | volatile |
| 66 | Paraguay | 69 1000 t | 2023 | up 1.5% | rising |
| 67 | Slovenia | 67 1000 t | 2023 | up 3.1% | falling |
| 68 | Serbia | 65 1000 t | 2023 | down 69.8% | falling |
| 69 | Finland | 59 1000 t | 2023 | up 25.5% | falling |
| 70 | Malawi | 58 1000 t | 2023 | down 67.0% | falling |
| 71 | Guyana | 42 1000 t | 2023 | down 73.9% | volatile |
| 71 | Kazakhstan | 42 1000 t | 2023 | up 35.5% | volatile |
| 73 | Switzerland | 38 1000 t | 2023 | up 46.2% | rising |
| 74 | Azerbaijan | 36 1000 t | 2023 | down 87.0% | volatile |
| 74 | Mozambique | 36 1000 t | 2023 | down 79.2% | falling |
| 76 | Panama | 33 1000 t | 2023 | down 35.3% | falling |
| 77 | Kenya | 32 1000 t | 2023 | down 3.0% | falling |
| 78 | Nigeria | 31 1000 t | 2023 | up 1,450.0% | volatile |
| 78 | New Zealand | 31 1000 t | 2023 | down 16.2% | falling |
| 80 | China, Hong Kong SAR | 29 1000 t | 2023 | down 37.0% | falling |
| 81 | Ireland | 21 1000 t | 2023 | down 4.5% | flat |
| 82 | Greece | 18 1000 t | 2023 | down 73.9% | volatile |
| 82 | Philippines | 18 1000 t | 2023 | down 96.3% | volatile |
| 84 | Ecuador | 17 1000 t | 2023 | up 54.5% | volatile |
| 85 | Belarus | 16 1000 t | 2023 | down 97.2% | falling |
| 86 | Iran (Islamic Republic of) | 15 1000 t | 2023 | down 64.3% | rising |
| 86 | China, Taiwan Province of | 15 1000 t | 2023 | up 87.5% | volatile |
| 88 | Bosnia and Herzegovina | 14 1000 t | 2023 | down 76.3% | volatile |
| 89 | Madagascar | 12 1000 t | 2023 | down 82.9% | volatile |
| 89 | Oman | 12 1000 t | 2023 | up 9.1% | volatile |
| 91 | Jordan | 11 1000 t | 2023 | up 10.0% | rising |
| 92 | Bangladesh | 9 1000 t | 2023 | up 800.0% | volatile |
| 92 | Kyrgyzstan | 9 1000 t | 2023 | — | volatile |
| 92 | Uzbekistan | 9 1000 t | 2023 | up 800.0% | volatile |
| 92 | Syrian Arab Republic | 9 1000 t | 2023 | up 125.0% | volatile |
| 96 | Latvia | 8 1000 t | 2023 | down 81.8% | volatile |
| 97 | Cameroon | 7 1000 t | 2023 | — | volatile |
| 97 | Kuwait | 7 1000 t | 2023 | down 58.8% | rising |
| 99 | Ghana | 6 1000 t | 2023 | up 500.0% | volatile |
| 99 | Trinidad and Tobago | 6 1000 t | 2023 | up 200.0% | rising |
| 101 | Jamaica | 5 1000 t | 2023 | down 91.9% | volatile |
| 101 | Namibia | 5 1000 t | 2023 | unchanged | volatile |
| 103 | Lebanon | 4 1000 t | 2023 | down 91.8% | volatile |
| 103 | Republic of Moldova | 4 1000 t | 2023 | down 88.2% | volatile |
| 105 | Angola | 3 1000 t | 2023 | — | volatile |
| 105 | Barbados | 3 1000 t | 2023 | down 80.0% | volatile |
| 105 | Chile | 3 1000 t | 2023 | down 40.0% | falling |
| 105 | Congo | 3 1000 t | 2023 | up 200.0% | volatile |
| 105 | Georgia | 3 1000 t | 2023 | — | volatile |
| 105 | Israel | 3 1000 t | 2023 | down 90.9% | volatile |
| 105 | North Macedonia | 3 1000 t | 2023 | down 25.0% | falling |
| 105 | Niger | 3 1000 t | 2023 | down 81.2% | volatile |
| 105 | Tunisia | 3 1000 t | 2023 | down 62.5% | volatile |
| 105 | Uruguay | 3 1000 t | 2023 | — | volatile |
| 115 | Estonia | 2 1000 t | 2023 | down 89.5% | volatile |
| 115 | French Polynesia | 2 1000 t | 2023 | — | volatile |
| 115 | Senegal | 2 1000 t | 2023 | unchanged | volatile |
| 115 | Polynesia | 2 1000 t | 2023 | — | volatile |
| 115 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | — | volatile |
| 115 | Côte d'Ivoire | 2 1000 t | 2023 | down 85.7% | volatile |
| 121 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 121 | Armenia | 1 1000 t | 2023 | unchanged | volatile |
| 121 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 121 | Botswana | 1 1000 t | 2023 | down 50.0% | volatile |
| 121 | Gambia | 1 1000 t | 2023 | down 66.7% | volatile |
| 121 | Luxembourg | 1 1000 t | 2023 | unchanged | falling |
| 121 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 121 | Norway | 1 1000 t | 2023 | unchanged | falling |
| 121 | Turkmenistan | 1 1000 t | 2023 | — | volatile |
| 130 | Albania | 0 1000 t | 2023 | — | flat |
| 130 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 130 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 130 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 130 | Comoros | 0 1000 t | 2017 | — | flat |
| 130 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 130 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 130 | Gabon | 0 1000 t | 2023 | — | flat |
| 130 | Guinea | 0 1000 t | 2023 | — | flat |
| 130 | Grenada | 0 1000 t | 2023 | — | flat |
| 130 | Haiti | 0 1000 t | 2023 | — | flat |
| 130 | Iraq | 0 1000 t | 2023 | — | flat |
| 130 | Iceland | 0 1000 t | 2023 | — | flat |
| 130 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 130 | Liberia | 0 1000 t | 2023 | — | flat |
| 130 | Libya | 0 1000 t | 2023 | — | flat |
| 130 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 130 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Lesotho | 0 1000 t | 2023 | — | flat |
| 130 | Malta | 0 1000 t | 2023 | — | flat |
| 130 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 130 | Mauritania | 0 1000 t | 2022 | — | flat |
| 130 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 130 | Nepal | 0 1000 t | 2023 | — | volatile |
| 130 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 130 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Solomon Islands | 0 1000 t | 2020 | — | flat |
| 130 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Suriname | 0 1000 t | 2023 | — | flat |
| 130 | Seychelles | 0 1000 t | 2022 | — | flat |
| 130 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 130 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 130 | Samoa | 0 1000 t | 2023 | — | volatile |
| 130 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 130 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 130 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 130 | China, Macao SAR | 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.
- World 72,884 1000 t
- Americas 37,774 1000 t
- South America 33,014 1000 t
- Asia 18,995 1000 t
- Europe 9,936 1000 t
- European Union (27) 8,388 1000 t
- South-eastern Asia 8,320 1000 t
- Southern Asia 7,459 1000 t
- Net Food Importing Developing Countries (NFIDCs) 5,822 1000 t
- Western Europe 5,128 1000 t
- Africa 4,606 1000 t
- Central America 3,761 1000 t
About this data
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.