Sorghum and products — 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...
What the numbers show
Sorghum and products — Export quantity is currently reported for 112 countries. The highest value is 2,443 1000 t in Australia; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 55.17 1000 t.
Over the past decade 14 countries rose and 18 fell. The largest increase was in United Republic of Tanzania (up 2,700.0%), and the largest decrease in Burkina Faso (down 100.0%).
Sorghum and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 2,443 1000 t | 2023 | up 206.5% | volatile |
| 1 | Australia and New Zealand | 2,443 1000 t | 2023 | up 206.5% | volatile |
| 3 | Argentina | 752 1000 t | 2023 | down 66.7% | volatile |
| 4 | France | 106 1000 t | 2023 | up 43.2% | rising |
| 5 | Uganda | 66 1000 t | 2023 | up 24.5% | volatile |
| 6 | Ukraine | 56 1000 t | 2023 | down 68.9% | falling |
| 7 | Paraguay | 55 1000 t | 2023 | up 1,000.0% | volatile |
| 8 | India | 35 1000 t | 2023 | down 84.0% | volatile |
| 9 | Brazil | 34 1000 t | 2023 | up 580.0% | volatile |
| 10 | Hungary | 29 1000 t | 2023 | up 625.0% | volatile |
| 10 | Kenya | 29 1000 t | 2023 | up 383.3% | volatile |
| 12 | United Republic of Tanzania | 28 1000 t | 2023 | up 2,700.0% | volatile |
| 13 | Russian Federation | 19 1000 t | 2023 | down 40.6% | volatile |
| 14 | Türkiye | 10 1000 t | 2023 | — | volatile |
| 15 | Austria | 8 1000 t | 2023 | up 700.0% | volatile |
| 16 | Nigeria | 7 1000 t | 2023 | — | volatile |
| 17 | Republic of Moldova | 6 1000 t | 2023 | up 500.0% | volatile |
| 18 | Slovakia | 5 1000 t | 2023 | — | volatile |
| 18 | Netherlands (Kingdom of the) | 5 1000 t | 2023 | up 66.7% | volatile |
| 20 | Spain | 4 1000 t | 2023 | up 100.0% | volatile |
| 20 | Poland | 4 1000 t | 2023 | — | volatile |
| 22 | Belize | 3 1000 t | 2023 | — | volatile |
| 22 | Italy | 3 1000 t | 2023 | up 50.0% | volatile |
| 22 | Myanmar | 3 1000 t | 2023 | — | volatile |
| 22 | Democratic Republic of the Congo | 3 1000 t | 2022 | — | volatile |
| 26 | China | 2 1000 t | 2023 | down 88.2% | volatile |
| 26 | Romania | 2 1000 t | 2023 | down 66.7% | volatile |
| 26 | Zimbabwe | 2 1000 t | 2023 | — | volatile |
| 26 | China, mainland | 2 1000 t | 2023 | down 88.2% | volatile |
| 30 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 30 | Belgium | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Botswana | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Czechia | 1 1000 t | 2023 | — | volatile |
| 30 | Germany | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Egypt | 1 1000 t | 2023 | — | volatile |
| 30 | Honduras | 1 1000 t | 2023 | — | volatile |
| 30 | Nicaragua | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Portugal | 1 1000 t | 2023 | — | volatile |
| 30 | Thailand | 1 1000 t | 2023 | down 50.0% | volatile |
| 30 | Tunisia | 1 1000 t | 2023 | — | volatile |
| 30 | Uruguay | 1 1000 t | 2023 | down 97.2% | volatile |
| 30 | Zambia | 1 1000 t | 2023 | — | volatile |
| 30 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 30 | China, Taiwan Province of | 1 1000 t | 2020 | — | volatile |
| 45 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 45 | Angola | 0 1000 t | 2023 | — | flat |
| 45 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 45 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Belarus | 0 1000 t | 2023 | — | flat |
| 45 | Barbados | 0 1000 t | 2016 | — | flat |
| 45 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Switzerland | 0 1000 t | 2023 | — | flat |
| 45 | Chile | 0 1000 t | 2023 | — | flat |
| 45 | Colombia | 0 1000 t | 2023 | — | flat |
| 45 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 45 | Denmark | 0 1000 t | 2023 | — | flat |
| 45 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 45 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Fiji | 0 1000 t | 2023 | — | flat |
| 45 | Georgia | 0 1000 t | 2014 | — | flat |
| 45 | Ghana | 0 1000 t | 2023 | — | volatile |
| 45 | Guinea | 0 1000 t | 2023 | — | flat |
| 45 | Greece | 0 1000 t | 2023 | — | flat |
| 45 | Guatemala | 0 1000 t | 2023 | — | flat |
| 45 | Guyana | 0 1000 t | 2017 | — | flat |
| 45 | Croatia | 0 1000 t | 2023 | — | volatile |
| 45 | Haiti | 0 1000 t | 2023 | — | flat |
| 45 | Indonesia | 0 1000 t | 2023 | — | flat |
| 45 | Ireland | 0 1000 t | 2022 | — | flat |
| 45 | Israel | 0 1000 t | 2015 | — | flat |
| 45 | Jordan | 0 1000 t | 2023 | — | flat |
| 45 | Kazakhstan | 0 1000 t | 2022 | — | flat |
| 45 | Kyrgyzstan | 0 1000 t | 2022 | — | flat |
| 45 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 45 | Lebanon | 0 1000 t | 2023 | — | flat |
| 45 | Lesotho | 0 1000 t | 2023 | — | flat |
| 45 | Lithuania | 0 1000 t | 2023 | — | flat |
| 45 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 45 | Latvia | 0 1000 t | 2023 | — | flat |
| 45 | Morocco | 0 1000 t | 2023 | — | flat |
| 45 | Madagascar | 0 1000 t | 2016 | — | flat |
| 45 | Mexico | 0 1000 t | 2019 | — | volatile |
| 45 | North Macedonia | 0 1000 t | 2019 | — | flat |
| 45 | Mozambique | 0 1000 t | 2023 | — | flat |
| 45 | Malawi | 0 1000 t | 2023 | — | volatile |
| 45 | Malaysia | 0 1000 t | 2023 | — | flat |
| 45 | Namibia | 0 1000 t | 2022 | — | flat |
| 45 | Niger | 0 1000 t | 2018 | — | flat |
| 45 | Norway | 0 1000 t | 2016 | — | flat |
| 45 | Nepal | 0 1000 t | 2020 | — | volatile |
| 45 | New Zealand | 0 1000 t | 2022 | — | flat |
| 45 | Pakistan | 0 1000 t | 2023 | — | flat |
| 45 | Peru | 0 1000 t | 2023 | — | flat |
| 45 | Philippines | 0 1000 t | 2020 | — | flat |
| 45 | Rwanda | 0 1000 t | 2022 | down 100.0% | volatile |
| 45 | Saudi Arabia | 0 1000 t | 2021 | — | flat |
| 45 | Senegal | 0 1000 t | 2023 | — | flat |
| 45 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Serbia | 0 1000 t | 2023 | — | flat |
| 45 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Sweden | 0 1000 t | 2023 | — | flat |
| 45 | Eswatini | 0 1000 t | 2022 | — | flat |
| 45 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 45 | Yemen | 0 1000 t | 2021 | — | flat |
| 45 | Melanesia | 0 1000 t | 2023 | — | flat |
| 45 | Caribbean | 0 1000 t | 2023 | — | flat |
| 45 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 45 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 45 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 45 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 8,130 1000 t
- Americas 5,225 1000 t
- Northern America 4,378 1000 t
- United States of America 4,377 1000 t
- Oceania 2,443 1000 t
- South America 842 1000 t
- Europe 250 1000 t
- European Union (27) 169 1000 t
- Africa 159 1000 t
- Net Food Importing Developing Countries (NFIDCs) 137 1000 t
- Low Income Food Deficit Countries (LIFDCs) 132 1000 t
- Land Locked Developing Countries (LLDCs) 131 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.