Sorghum and products — 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
Sorghum and products — Import quantity is currently reported for 156 countries. The highest value is 5,256 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 72.4 1000 t.
Over the past decade 15 countries rose and 38 fell. The largest increase was in Madagascar (up 1,600.0%), and the largest decrease in Colombia (down 100.0%).
Sorghum and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,256 1000 t | 2023 | up 338.7% | volatile |
| 2 | China, mainland | 5,213 1000 t | 2023 | up 383.6% | volatile |
| 3 | Kenya | 105 1000 t | 2023 | up 1.0% | rising |
| 4 | Thailand | 87 1000 t | 2023 | — | volatile |
| 5 | Mexico | 53 1000 t | 2023 | down 95.6% | volatile |
| 6 | China, Taiwan Province of | 43 1000 t | 2023 | down 64.2% | falling |
| 7 | Spain | 41 1000 t | 2023 | down 77.1% | volatile |
| 8 | Rwanda | 38 1000 t | 2023 | — | rising |
| 9 | Brazil | 35 1000 t | 2023 | up 105.9% | volatile |
| 10 | Italy | 31 1000 t | 2023 | down 77.0% | volatile |
| 10 | Nigeria | 31 1000 t | 2023 | up 121.4% | volatile |
| 12 | Israel | 28 1000 t | 2023 | down 58.8% | falling |
| 13 | Belgium | 26 1000 t | 2023 | up 13.0% | falling |
| 14 | Djibouti | 21 1000 t | 2023 | down 70.0% | volatile |
| 15 | Philippines | 20 1000 t | 2023 | up 53.8% | rising |
| 15 | Uganda | 20 1000 t | 2023 | up 400.0% | volatile |
| 15 | Uruguay | 20 1000 t | 2023 | up 233.3% | volatile |
| 18 | Poland | 19 1000 t | 2023 | up 90.0% | rising |
| 19 | Iraq | 18 1000 t | 2023 | — | volatile |
| 20 | Madagascar | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 21 | United Kingdom of Great Britain and Northern Ireland | 15 1000 t | 2023 | unchanged | rising |
| 22 | Türkiye | 13 1000 t | 2023 | — | volatile |
| 23 | Canada | 12 1000 t | 2023 | up 140.0% | rising |
| 23 | Netherlands (Kingdom of the) | 12 1000 t | 2023 | unchanged | falling |
| 25 | United Arab Emirates | 10 1000 t | 2023 | up 100.0% | rising |
| 25 | Botswana | 10 1000 t | 2023 | down 77.8% | volatile |
| 27 | Pakistan | 9 1000 t | 2023 | — | volatile |
| 28 | Austria | 7 1000 t | 2023 | — | volatile |
| 28 | Germany | 7 1000 t | 2023 | down 80.0% | volatile |
| 28 | Portugal | 7 1000 t | 2023 | up 40.0% | volatile |
| 31 | Bangladesh | 6 1000 t | 2023 | — | volatile |
| 31 | Niger | 6 1000 t | 2023 | down 62.5% | volatile |
| 31 | Zimbabwe | 6 1000 t | 2023 | unchanged | volatile |
| 34 | Cameroon | 5 1000 t | 2023 | down 84.8% | volatile |
| 35 | Tunisia | 4 1000 t | 2023 | down 33.3% | falling |
| 35 | Republic of Korea | 4 1000 t | 2023 | down 33.3% | falling |
| 37 | Ethiopia | 3 1000 t | 2023 | down 96.6% | volatile |
| 37 | France | 3 1000 t | 2023 | down 25.0% | volatile |
| 37 | Eswatini | 3 1000 t | 2023 | down 25.0% | rising |
| 37 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | up 50.0% | flat |
| 41 | Czechia | 2 1000 t | 2023 | — | volatile |
| 41 | Haiti | 2 1000 t | 2023 | — | volatile |
| 41 | Jordan | 2 1000 t | 2023 | unchanged | rising |
| 41 | Papua New Guinea | 2 1000 t | 2023 | down 88.9% | falling |
| 41 | El Salvador | 2 1000 t | 2023 | — | volatile |
| 41 | Melanesia | 2 1000 t | 2023 | down 88.9% | falling |
| 41 | Caribbean | 2 1000 t | 2023 | — | volatile |
| 48 | Argentina | 1 1000 t | 2023 | — | volatile |
| 48 | Bahrain | 1 1000 t | 2023 | — | flat |
| 48 | Chile | 1 1000 t | 2023 | down 99.6% | volatile |
| 48 | Denmark | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | Egypt | 1 1000 t | 2023 | down 96.0% | volatile |
| 48 | Greece | 1 1000 t | 2023 | — | volatile |
| 48 | Libya | 1 1000 t | 2023 | — | volatile |
| 48 | Lesotho | 1 1000 t | 2023 | down 80.0% | volatile |
| 48 | Qatar | 1 1000 t | 2023 | — | volatile |
| 48 | Serbia | 1 1000 t | 2023 | — | volatile |
| 48 | Yemen | 1 1000 t | 2023 | — | volatile |
| 48 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 48 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 61 | Angola | 0 1000 t | 2023 | — | volatile |
| 61 | Albania | 0 1000 t | 2023 | — | flat |
| 61 | Armenia | 0 1000 t | 2014 | — | flat |
| 61 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 61 | Australia | 0 1000 t | 2023 | — | flat |
| 61 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 61 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 61 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 61 | Bahamas | 0 1000 t | 2023 | — | flat |
| 61 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 61 | Belarus | 0 1000 t | 2022 | — | flat |
| 61 | Belize | 0 1000 t | 2023 | — | flat |
| 61 | Barbados | 0 1000 t | 2022 | — | flat |
| 61 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 61 | Congo | 0 1000 t | 2023 | — | flat |
| 61 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Cyprus | 0 1000 t | 2021 | — | flat |
| 61 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 61 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Ecuador | 0 1000 t | 2022 | down 100.0% | volatile |
| 61 | Estonia | 0 1000 t | 2023 | — | flat |
| 61 | Finland | 0 1000 t | 2023 | — | flat |
| 61 | Fiji | 0 1000 t | 2023 | — | volatile |
| 61 | Gabon | 0 1000 t | 2021 | — | flat |
| 61 | Georgia | 0 1000 t | 2023 | — | flat |
| 61 | Ghana | 0 1000 t | 2023 | — | volatile |
| 61 | Guinea | 0 1000 t | 2023 | — | flat |
| 61 | Gambia | 0 1000 t | 2022 | — | flat |
| 61 | Guatemala | 0 1000 t | 2023 | — | flat |
| 61 | Honduras | 0 1000 t | 2023 | — | volatile |
| 61 | Croatia | 0 1000 t | 2023 | — | flat |
| 61 | Hungary | 0 1000 t | 2023 | — | volatile |
| 61 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | India | 0 1000 t | 2023 | — | flat |
| 61 | Ireland | 0 1000 t | 2023 | — | flat |
| 61 | Iceland | 0 1000 t | 2023 | — | flat |
| 61 | Jamaica | 0 1000 t | 2023 | — | flat |
| 61 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 61 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 61 | Cambodia | 0 1000 t | 2022 | — | flat |
| 61 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 61 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 61 | Sri Lanka | 0 1000 t | 2022 | — | volatile |
| 61 | Lithuania | 0 1000 t | 2023 | — | flat |
| 61 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 61 | Latvia | 0 1000 t | 2023 | — | flat |
| 61 | Morocco | 0 1000 t | 2023 | — | volatile |
| 61 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 61 | Malta | 0 1000 t | 2023 | — | flat |
| 61 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 61 | Montenegro | 0 1000 t | 2022 | — | flat |
| 61 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 61 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 61 | Malawi | 0 1000 t | 2023 | — | volatile |
| 61 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Namibia | 0 1000 t | 2023 | — | volatile |
| 61 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 61 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Norway | 0 1000 t | 2023 | — | volatile |
| 61 | Nepal | 0 1000 t | 2023 | — | flat |
| 61 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Oman | 0 1000 t | 2023 | — | volatile |
| 61 | Panama | 0 1000 t | 2023 | — | volatile |
| 61 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 61 | French Polynesia | 0 1000 t | 2018 | — | flat |
| 61 | Romania | 0 1000 t | 2023 | — | volatile |
| 61 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Solomon Islands | 0 1000 t | 2019 | — | flat |
| 61 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 61 | Slovakia | 0 1000 t | 2023 | — | flat |
| 61 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Sweden | 0 1000 t | 2023 | — | flat |
| 61 | Seychelles | 0 1000 t | 2023 | — | flat |
| 61 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 61 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 61 | Vanuatu | 0 1000 t | 2022 | — | flat |
| 61 | Samoa | 0 1000 t | 2015 | — | flat |
| 61 | Zambia | 0 1000 t | 2023 | — | volatile |
| 61 | Polynesia | 0 1000 t | 2018 | — | flat |
| 61 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 61 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 61 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 61 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 61 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 61 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 61 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Democratic People's Republic of Korea | 0 1000 t | 2015 | — | flat |
| 61 | China, Macao SAR | 0 1000 t | 2017 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 6,513 1000 t
- Asia 5,644 1000 t
- Eastern Asia 5,444 1000 t
- Africa 562 1000 t
- Net Food Importing Developing Countries (NFIDCs) 441 1000 t
- Low Income Food Deficit Countries (LIFDCs) 393 1000 t
- Least Developed Countries (LDCs) 304 1000 t
- Eastern Africa 289 1000 t
- Europe 175 1000 t
- European Union (27) 158 1000 t
- Land Locked Developing Countries (LLDCs) 157 1000 t
- Americas 130 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.