Sugar Crops — Import 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...
What the numbers show
Sugar Crops — Import quantity is currently reported for 145 countries. The highest value is 1,910 1000 t in China; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 34.77 1000 t.
Over the past decade 9 countries rose and 12 fell. The largest increase was in Hungary (up 4,600.0%), and the largest decrease in Afghanistan (down 100.0%).
Sugar Crops — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,910 1000 t | 2023 | up 105.6% | volatile |
| 2 | China, mainland | 1,909 1000 t | 2023 | up 105.7% | volatile |
| 3 | Czechia | 354 1000 t | 2023 | up 190.2% | rising |
| 4 | Switzerland | 342 1000 t | 2023 | up 2,180.0% | volatile |
| 5 | Lithuania | 125 1000 t | 2023 | — | volatile |
| 6 | Germany | 97 1000 t | 2023 | down 64.6% | volatile |
| 7 | Croatia | 52 1000 t | 2023 | down 70.8% | volatile |
| 8 | France | 51 1000 t | 2023 | — | volatile |
| 9 | Hungary | 47 1000 t | 2023 | up 4,600.0% | volatile |
| 10 | Belgium | 41 1000 t | 2023 | up 241.7% | volatile |
| 11 | Saudi Arabia | 30 1000 t | 2023 | up 233.3% | volatile |
| 12 | Denmark | 15 1000 t | 2023 | — | volatile |
| 12 | Netherlands (Kingdom of the) | 15 1000 t | 2023 | down 80.3% | volatile |
| 14 | United Arab Emirates | 6 1000 t | 2023 | — | volatile |
| 14 | Latvia | 6 1000 t | 2023 | up 500.0% | volatile |
| 16 | Sweden | 5 1000 t | 2023 | — | volatile |
| 16 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | down 54.5% | volatile |
| 18 | Slovenia | 4 1000 t | 2023 | — | volatile |
| 19 | Austria | 3 1000 t | 2023 | — | volatile |
| 19 | Israel | 3 1000 t | 2023 | — | volatile |
| 21 | Canada | 2 1000 t | 2023 | up 100.0% | rising |
| 21 | Italy | 2 1000 t | 2023 | unchanged | volatile |
| 21 | Thailand | 2 1000 t | 2023 | — | volatile |
| 21 | Tunisia | 2 1000 t | 2023 | — | volatile |
| 21 | Türkiye | 2 1000 t | 2023 | — | volatile |
| 26 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 26 | Spain | 1 1000 t | 2023 | — | volatile |
| 26 | Kuwait | 1 1000 t | 2023 | down 50.0% | volatile |
| 26 | Morocco | 1 1000 t | 2023 | — | volatile |
| 26 | Maldives | 1 1000 t | 2023 | — | volatile |
| 26 | Namibia | 1 1000 t | 2023 | — | volatile |
| 26 | New Zealand | 1 1000 t | 2023 | — | volatile |
| 26 | Oman | 1 1000 t | 2023 | — | volatile |
| 26 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 26 | Australia and New Zealand | 1 1000 t | 2023 | — | volatile |
| 26 | Lao People's Democratic Republic | 1 1000 t | 2022 | — | volatile |
| 26 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Angola | 0 1000 t | 2022 | — | flat |
| 38 | Armenia | 0 1000 t | 2023 | — | flat |
| 38 | Australia | 0 1000 t | 2023 | — | flat |
| 38 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 38 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 38 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 38 | Bahamas | 0 1000 t | 2023 | — | flat |
| 38 | Belarus | 0 1000 t | 2023 | — | flat |
| 38 | Brazil | 0 1000 t | 2022 | — | flat |
| 38 | Botswana | 0 1000 t | 2023 | — | flat |
| 38 | Chile | 0 1000 t | 2022 | — | flat |
| 38 | Cameroon | 0 1000 t | 2020 | — | flat |
| 38 | Colombia | 0 1000 t | 2023 | — | flat |
| 38 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 38 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 38 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 38 | Algeria | 0 1000 t | 2023 | — | volatile |
| 38 | Ecuador | 0 1000 t | 2021 | — | flat |
| 38 | Egypt | 0 1000 t | 2023 | — | volatile |
| 38 | Estonia | 0 1000 t | 2023 | — | volatile |
| 38 | Ethiopia | 0 1000 t | 2021 | — | flat |
| 38 | Finland | 0 1000 t | 2023 | — | volatile |
| 38 | Fiji | 0 1000 t | 2023 | — | flat |
| 38 | Gabon | 0 1000 t | 2023 | — | flat |
| 38 | Georgia | 0 1000 t | 2023 | — | flat |
| 38 | Ghana | 0 1000 t | 2023 | — | flat |
| 38 | Gambia | 0 1000 t | 2023 | — | flat |
| 38 | Greece | 0 1000 t | 2023 | — | flat |
| 38 | Guatemala | 0 1000 t | 2023 | — | flat |
| 38 | Guyana | 0 1000 t | 2021 | — | flat |
| 38 | Honduras | 0 1000 t | 2021 | — | flat |
| 38 | Indonesia | 0 1000 t | 2022 | — | flat |
| 38 | India | 0 1000 t | 2023 | — | flat |
| 38 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Iraq | 0 1000 t | 2023 | — | flat |
| 38 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Jamaica | 0 1000 t | 2023 | — | flat |
| 38 | Jordan | 0 1000 t | 2023 | — | flat |
| 38 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 38 | Kenya | 0 1000 t | 2022 | — | flat |
| 38 | Kyrgyzstan | 0 1000 t | 2022 | — | flat |
| 38 | Cambodia | 0 1000 t | 2023 | — | flat |
| 38 | Kiribati | 0 1000 t | 2021 | — | flat |
| 38 | Lebanon | 0 1000 t | 2023 | — | flat |
| 38 | Liberia | 0 1000 t | 2023 | — | flat |
| 38 | Libya | 0 1000 t | 2023 | — | flat |
| 38 | Saint Lucia | 0 1000 t | 2021 | — | flat |
| 38 | Sri Lanka | 0 1000 t | 2022 | — | flat |
| 38 | Lesotho | 0 1000 t | 2023 | — | flat |
| 38 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 38 | Mexico | 0 1000 t | 2019 | — | flat |
| 38 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 38 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 38 | Malta | 0 1000 t | 2023 | — | flat |
| 38 | Myanmar | 0 1000 t | 2018 | — | flat |
| 38 | Montenegro | 0 1000 t | 2022 | — | flat |
| 38 | Mozambique | 0 1000 t | 2022 | — | flat |
| 38 | Malawi | 0 1000 t | 2023 | — | flat |
| 38 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 38 | Niger | 0 1000 t | 2023 | — | volatile |
| 38 | Nigeria | 0 1000 t | 2023 | — | flat |
| 38 | Nicaragua | 0 1000 t | 2021 | — | flat |
| 38 | Norway | 0 1000 t | 2023 | — | flat |
| 38 | Nepal | 0 1000 t | 2023 | — | volatile |
| 38 | Pakistan | 0 1000 t | 2022 | — | flat |
| 38 | Panama | 0 1000 t | 2019 | — | flat |
| 38 | Peru | 0 1000 t | 2023 | — | flat |
| 38 | Philippines | 0 1000 t | 2023 | — | flat |
| 38 | Papua New Guinea | 0 1000 t | 2020 | — | flat |
| 38 | Poland | 0 1000 t | 2023 | — | flat |
| 38 | Portugal | 0 1000 t | 2023 | — | flat |
| 38 | Romania | 0 1000 t | 2023 | — | volatile |
| 38 | Rwanda | 0 1000 t | 2022 | — | flat |
| 38 | Senegal | 0 1000 t | 2022 | — | flat |
| 38 | Solomon Islands | 0 1000 t | 2018 | — | flat |
| 38 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 38 | Serbia | 0 1000 t | 2023 | — | volatile |
| 38 | Eswatini | 0 1000 t | 2023 | — | flat |
| 38 | Seychelles | 0 1000 t | 2023 | — | flat |
| 38 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 38 | Uganda | 0 1000 t | 2020 | — | flat |
| 38 | Ukraine | 0 1000 t | 2023 | — | flat |
| 38 | Uruguay | 0 1000 t | 2023 | — | flat |
| 38 | Vanuatu | 0 1000 t | 2021 | — | flat |
| 38 | Samoa | 0 1000 t | 2019 | — | flat |
| 38 | Yemen | 0 1000 t | 2022 | — | flat |
| 38 | Zambia | 0 1000 t | 2023 | — | flat |
| 38 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 38 | Micronesia | 0 1000 t | 2023 | — | flat |
| 38 | Timor-Leste | 0 1000 t | 2022 | — | flat |
| 38 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 38 | Melanesia | 0 1000 t | 2023 | — | flat |
| 38 | Polynesia | 0 1000 t | 2023 | — | flat |
| 38 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 38 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 38 | Bolivia (Plurinational State of) | 0 1000 t | 2021 | — | flat |
| 38 | China, Hong Kong SAR | 0 1000 t | 2018 | down 100.0% | volatile |
| 38 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 38 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 38 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 38 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2014 | — | volatile |
| 38 | Viet Nam | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 38 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 38 | China, Taiwan Province of | 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 3,140 1000 t
- Asia 1,959 1000 t
- Eastern Asia 1,910 1000 t
- Europe 1,168 1000 t
- European Union (27) 820 1000 t
- Western Europe 549 1000 t
- Eastern Europe 404 1000 t
- Northern Europe 156 1000 t
- Southern Europe 59 1000 t
- Western Asia 45 1000 t
- Americas 8 1000 t
- Northern America 8 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.