Sorghum and products — Residuals 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 — Residuals is currently reported for 165 countries. The highest value is 16 1000 t in Djibouti; the lowest is -31 1000 t in Kenya.
The median across all reporting countries is 0 1000 t, and the mean is -0.2121 1000 t.
Sorghum and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Djibouti | 16 1000 t | 2023 | — | volatile |
| 2 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 2 | Angola | 0 1000 t | 2023 | — | flat |
| 2 | Albania | 0 1000 t | 2023 | — | flat |
| 2 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 2 | Argentina | 0 1000 t | 2023 | — | flat |
| 2 | Armenia | 0 1000 t | 2020 | — | flat |
| 2 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 2 | Australia | 0 1000 t | 2023 | — | flat |
| 2 | Austria | 0 1000 t | 2023 | — | flat |
| 2 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 2 | Belgium | 0 1000 t | 2023 | — | flat |
| 2 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 2 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 2 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 2 | Bahrain | 0 1000 t | 2023 | — | flat |
| 2 | Bahamas | 0 1000 t | 2023 | — | flat |
| 2 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 2 | Belarus | 0 1000 t | 2023 | — | flat |
| 2 | Belize | 0 1000 t | 2023 | — | flat |
| 2 | Brazil | 0 1000 t | 2023 | — | flat |
| 2 | Barbados | 0 1000 t | 2023 | — | flat |
| 2 | Botswana | 0 1000 t | 2023 | — | volatile |
| 2 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Switzerland | 0 1000 t | 2023 | — | flat |
| 2 | Chile | 0 1000 t | 2023 | — | flat |
| 2 | China | 0 1000 t | 2023 | — | volatile |
| 2 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 2 | Congo | 0 1000 t | 2023 | — | flat |
| 2 | Colombia | 0 1000 t | 2023 | — | flat |
| 2 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 2 | Cuba | 0 1000 t | 2019 | — | flat |
| 2 | Cyprus | 0 1000 t | 2023 | — | flat |
| 2 | Czechia | 0 1000 t | 2023 | — | volatile |
| 2 | Germany | 0 1000 t | 2023 | — | flat |
| 2 | Denmark | 0 1000 t | 2023 | — | flat |
| 2 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 2 | Algeria | 0 1000 t | 2023 | — | flat |
| 2 | Ecuador | 0 1000 t | 2023 | — | flat |
| 2 | Egypt | 0 1000 t | 2023 | — | flat |
| 2 | Spain | 0 1000 t | 2023 | — | flat |
| 2 | Estonia | 0 1000 t | 2023 | — | flat |
| 2 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 2 | Finland | 0 1000 t | 2023 | — | flat |
| 2 | Fiji | 0 1000 t | 2023 | — | flat |
| 2 | France | 0 1000 t | 2023 | — | flat |
| 2 | Gabon | 0 1000 t | 2023 | — | flat |
| 2 | Georgia | 0 1000 t | 2023 | — | flat |
| 2 | Ghana | 0 1000 t | 2023 | — | flat |
| 2 | Guinea | 0 1000 t | 2023 | — | flat |
| 2 | Gambia | 0 1000 t | 2023 | — | flat |
| 2 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 2 | Greece | 0 1000 t | 2023 | — | flat |
| 2 | Guatemala | 0 1000 t | 2023 | — | flat |
| 2 | Guyana | 0 1000 t | 2017 | — | flat |
| 2 | Honduras | 0 1000 t | 2023 | — | flat |
| 2 | Croatia | 0 1000 t | 2023 | — | volatile |
| 2 | Haiti | 0 1000 t | 2023 | — | volatile |
| 2 | Hungary | 0 1000 t | 2023 | — | flat |
| 2 | Indonesia | 0 1000 t | 2023 | — | flat |
| 2 | India | 0 1000 t | 2023 | — | volatile |
| 2 | Ireland | 0 1000 t | 2023 | — | flat |
| 2 | Iraq | 0 1000 t | 2023 | — | flat |
| 2 | Iceland | 0 1000 t | 2023 | — | flat |
| 2 | Israel | 0 1000 t | 2023 | — | flat |
| 2 | Italy | 0 1000 t | 2023 | — | flat |
| 2 | Jamaica | 0 1000 t | 2023 | — | flat |
| 2 | Jordan | 0 1000 t | 2023 | — | flat |
| 2 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 2 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 2 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 2 | Kuwait | 0 1000 t | 2023 | — | flat |
| 2 | Lebanon | 0 1000 t | 2023 | — | flat |
| 2 | Liberia | 0 1000 t | 2023 | — | flat |
| 2 | Libya | 0 1000 t | 2023 | — | flat |
| 2 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 2 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 2 | Lithuania | 0 1000 t | 2023 | — | flat |
| 2 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 2 | Latvia | 0 1000 t | 2023 | — | flat |
| 2 | Morocco | 0 1000 t | 2023 | — | flat |
| 2 | Madagascar | 0 1000 t | 2023 | — | flat |
| 2 | Maldives | 0 1000 t | 2023 | — | flat |
| 2 | Mexico | 0 1000 t | 2023 | — | flat |
| 2 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 2 | Malta | 0 1000 t | 2023 | — | flat |
| 2 | Myanmar | 0 1000 t | 2023 | — | flat |
| 2 | Montenegro | 0 1000 t | 2023 | — | flat |
| 2 | Mongolia | 0 1000 t | 2023 | — | flat |
| 2 | Mozambique | 0 1000 t | 2023 | — | flat |
| 2 | Mauritania | 0 1000 t | 2023 | — | flat |
| 2 | Malawi | 0 1000 t | 2023 | — | volatile |
| 2 | Malaysia | 0 1000 t | 2023 | — | flat |
| 2 | Namibia | 0 1000 t | 2023 | — | flat |
| 2 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 2 | Niger | 0 1000 t | 2023 | — | flat |
| 2 | Nigeria | 0 1000 t | 2023 | — | flat |
| 2 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 2 | Norway | 0 1000 t | 2023 | — | flat |
| 2 | Nepal | 0 1000 t | 2023 | — | volatile |
| 2 | New Zealand | 0 1000 t | 2023 | — | flat |
| 2 | Oman | 0 1000 t | 2023 | — | flat |
| 2 | Pakistan | 0 1000 t | 2023 | — | flat |
| 2 | Panama | 0 1000 t | 2023 | — | flat |
| 2 | Peru | 0 1000 t | 2023 | — | flat |
| 2 | Philippines | 0 1000 t | 2023 | — | flat |
| 2 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 2 | Poland | 0 1000 t | 2023 | — | flat |
| 2 | Portugal | 0 1000 t | 2023 | — | flat |
| 2 | Paraguay | 0 1000 t | 2023 | — | flat |
| 2 | French Polynesia | 0 1000 t | 2018 | — | flat |
| 2 | Qatar | 0 1000 t | 2023 | — | flat |
| 2 | Romania | 0 1000 t | 2023 | — | volatile |
| 2 | Rwanda | 0 1000 t | 2023 | — | flat |
| 2 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 2 | Senegal | 0 1000 t | 2023 | — | flat |
| 2 | Solomon Islands | 0 1000 t | 2020 | — | flat |
| 2 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 2 | El Salvador | 0 1000 t | 2023 | — | flat |
| 2 | Serbia | 0 1000 t | 2023 | — | flat |
| 2 | Slovakia | 0 1000 t | 2023 | — | flat |
| 2 | Slovenia | 0 1000 t | 2023 | — | flat |
| 2 | Sweden | 0 1000 t | 2023 | — | flat |
| 2 | Eswatini | 0 1000 t | 2023 | — | flat |
| 2 | Seychelles | 0 1000 t | 2023 | — | flat |
| 2 | Thailand | 0 1000 t | 2023 | — | flat |
| 2 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 2 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 2 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 2 | Tunisia | 0 1000 t | 2023 | — | flat |
| 2 | Uganda | 0 1000 t | 2023 | — | volatile |
| 2 | Uruguay | 0 1000 t | 2023 | — | flat |
| 2 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 2 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 2 | Samoa | 0 1000 t | 2020 | — | flat |
| 2 | Yemen | 0 1000 t | 2023 | — | flat |
| 2 | Zambia | 0 1000 t | 2023 | — | flat |
| 2 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 2 | Micronesia | 0 1000 t | 2023 | — | flat |
| 2 | Melanesia | 0 1000 t | 2023 | — | flat |
| 2 | Polynesia | 0 1000 t | 2020 | — | flat |
| 2 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 2 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 2 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 2 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 2 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 2 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 2 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 2 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 2 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 2 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 2 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 2 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 2 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 2 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 2 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 2 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 2 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 2 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 2 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 2 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 2 | China, Macao SAR | 0 1000 t | 2017 | — | flat |
| 164 | Türkiye | -1 1000 t | 2023 | — | volatile |
| 165 | Ukraine | -19 1000 t | 2023 | — | volatile |
| 166 | Kenya | -31 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Least Developed Countries (LDCs) 16 1000 t
- South Africa 0 1000 t
- European Union (27) 0 1000 t
- Oceania 0 1000 t
- South America 0 1000 t
- Americas 0 1000 t
- Northern America 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Western Europe 0 1000 t
- Caribbean 0 1000 t
- Northern Africa 0 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.