Sorghum and products — Feed 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 — Feed is currently reported for 147 countries. The highest value is 4,678 1000 t in Mexico; the lowest is 0 1000 t in Côte d'Ivoire.
The median across all reporting countries is 2 1000 t, and the mean is 138.44 1000 t.
Over the past decade 27 countries rose and 52 fell. The largest increase was in Hungary (up 1,070.0%), and the largest decrease in Costa Rica (down 100.0%).
Sorghum and products — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mexico | 4,678 1000 t | 2023 | down 34.7% | falling |
| 2 | Brazil | 4,245 1000 t | 2023 | up 104.9% | rising |
| 3 | China | 3,113 1000 t | 2023 | up 78.8% | volatile |
| 4 | China, mainland | 3,077 1000 t | 2023 | up 87.4% | volatile |
| 5 | Argentina | 818 1000 t | 2023 | down 36.2% | falling |
| 6 | Bolivia (Plurinational State of) | 799 1000 t | 2023 | up 1.3% | rising |
| 7 | India | 450 1000 t | 2023 | up 484.4% | volatile |
| 8 | Egypt | 380 1000 t | 2023 | down 24.6% | falling |
| 9 | Italy | 268 1000 t | 2023 | down 39.6% | falling |
| 10 | Nigeria | 200 1000 t | 2023 | down 51.0% | falling |
| 11 | France | 197 1000 t | 2023 | down 1.5% | flat |
| 12 | Oman | 174 1000 t | 2023 | up 480.0% | volatile |
| 13 | Niger | 153 1000 t | 2023 | up 106.8% | rising |
| 14 | Burkina Faso | 152 1000 t | 2023 | down 5.0% | volatile |
| 15 | Senegal | 141 1000 t | 2023 | — | volatile |
| 16 | Hungary | 117 1000 t | 2023 | up 1,070.0% | volatile |
| 17 | Russian Federation | 100 1000 t | 2023 | down 27.5% | volatile |
| 18 | Cameroon | 96 1000 t | 2023 | down 62.6% | falling |
| 19 | Spain | 86 1000 t | 2023 | down 60.2% | volatile |
| 20 | Ethiopia | 73 1000 t | 2023 | down 5.2% | rising |
| 21 | Australia | 65 1000 t | 2023 | down 95.0% | volatile |
| 21 | Australia and New Zealand | 65 1000 t | 2023 | down 95.2% | volatile |
| 23 | Myanmar | 64 1000 t | 2023 | down 51.5% | falling |
| 24 | Israel | 60 1000 t | 2023 | down 36.2% | falling |
| 25 | Paraguay | 53 1000 t | 2023 | down 44.8% | falling |
| 26 | Thailand | 47 1000 t | 2023 | up 4.4% | flat |
| 27 | Guinea | 41 1000 t | 2023 | up 57.7% | rising |
| 28 | Venezuela (Bolivarian Republic of) | 40 1000 t | 2023 | down 67.5% | volatile |
| 29 | Kenya | 38 1000 t | 2023 | up 5.6% | rising |
| 30 | United Republic of Tanzania | 37 1000 t | 2023 | up 131.2% | volatile |
| 31 | Austria | 35 1000 t | 2023 | up 250.0% | volatile |
| 31 | China, Taiwan Province of | 35 1000 t | 2023 | down 64.3% | falling |
| 33 | Uruguay | 26 1000 t | 2023 | down 84.7% | volatile |
| 34 | Belgium | 25 1000 t | 2023 | up 13.6% | falling |
| 34 | Guatemala | 25 1000 t | 2023 | down 28.6% | flat |
| 36 | Belize | 22 1000 t | 2023 | up 37.5% | rising |
| 37 | Philippines | 21 1000 t | 2023 | up 50.0% | rising |
| 37 | El Salvador | 21 1000 t | 2023 | down 27.6% | falling |
| 39 | Iraq | 20 1000 t | 2023 | down 25.9% | volatile |
| 39 | Nicaragua | 20 1000 t | 2023 | down 52.4% | falling |
| 39 | Sierra Leone | 20 1000 t | 2023 | up 122.2% | rising |
| 42 | Romania | 17 1000 t | 2023 | down 61.4% | volatile |
| 43 | Uzbekistan | 16 1000 t | 2023 | up 128.6% | volatile |
| 44 | Poland | 15 1000 t | 2023 | up 66.7% | rising |
| 44 | United Kingdom of Great Britain and Northern Ireland | 15 1000 t | 2023 | up 7.1% | rising |
| 46 | Ecuador | 13 1000 t | 2023 | up 8.3% | volatile |
| 47 | Yemen | 10 1000 t | 2023 | down 80.0% | volatile |
| 48 | United Arab Emirates | 9 1000 t | 2023 | up 80.0% | rising |
| 48 | Canada | 9 1000 t | 2023 | up 125.0% | rising |
| 50 | Greece | 8 1000 t | 2023 | up 700.0% | volatile |
| 50 | Serbia | 8 1000 t | 2023 | down 11.1% | rising |
| 50 | Syrian Arab Republic | 8 1000 t | 2023 | up 300.0% | volatile |
| 53 | Bulgaria | 7 1000 t | 2023 | down 30.0% | volatile |
| 53 | Honduras | 7 1000 t | 2023 | down 66.7% | falling |
| 53 | Kazakhstan | 7 1000 t | 2023 | — | volatile |
| 53 | Republic of Moldova | 7 1000 t | 2023 | — | volatile |
| 53 | Netherlands (Kingdom of the) | 7 1000 t | 2023 | down 22.2% | falling |
| 58 | Bangladesh | 6 1000 t | 2023 | — | volatile |
| 58 | Colombia | 6 1000 t | 2023 | down 98.9% | volatile |
| 58 | Germany | 6 1000 t | 2023 | down 82.4% | volatile |
| 58 | Pakistan | 6 1000 t | 2023 | unchanged | volatile |
| 58 | Portugal | 6 1000 t | 2023 | up 50.0% | volatile |
| 58 | Republic of Korea | 6 1000 t | 2023 | down 25.0% | falling |
| 64 | Mozambique | 5 1000 t | 2023 | down 73.7% | volatile |
| 64 | Malawi | 5 1000 t | 2023 | up 66.7% | rising |
| 64 | Ukraine | 5 1000 t | 2023 | down 93.3% | volatile |
| 64 | Caribbean | 5 1000 t | 2023 | down 91.9% | volatile |
| 68 | Djibouti | 4 1000 t | 2023 | — | volatile |
| 68 | Mauritania | 4 1000 t | 2023 | unchanged | rising |
| 70 | Cuba | 3 1000 t | 2019 | — | volatile |
| 70 | Jordan | 3 1000 t | 2023 | down 84.2% | volatile |
| 70 | Democratic People's Republic of Korea | 3 1000 t | 2018 | unchanged | falling |
| 73 | Lesotho | 2 1000 t | 2023 | — | volatile |
| 73 | Madagascar | 2 1000 t | 2023 | — | volatile |
| 73 | Türkiye | 2 1000 t | 2023 | — | volatile |
| 76 | Angola | 1 1000 t | 2023 | — | volatile |
| 76 | Chile | 1 1000 t | 2023 | down 99.6% | volatile |
| 76 | Czechia | 1 1000 t | 2023 | — | volatile |
| 76 | Denmark | 1 1000 t | 2023 | down 50.0% | falling |
| 76 | Haiti | 1 1000 t | 2023 | down 98.1% | volatile |
| 76 | Libya | 1 1000 t | 2023 | — | volatile |
| 76 | Morocco | 1 1000 t | 2023 | unchanged | volatile |
| 76 | Panama | 1 1000 t | 2023 | down 80.0% | volatile |
| 76 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 76 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 76 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 87 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 87 | Albania | 0 1000 t | 2023 | — | flat |
| 87 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 87 | Bahrain | 0 1000 t | 2023 | — | flat |
| 87 | Bosnia and Herzegovina | 0 1000 t | 2020 | — | flat |
| 87 | Belarus | 0 1000 t | 2021 | — | flat |
| 87 | Barbados | 0 1000 t | 2022 | — | flat |
| 87 | Botswana | 0 1000 t | 2023 | — | volatile |
| 87 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 87 | Congo | 0 1000 t | 2023 | — | flat |
| 87 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Cyprus | 0 1000 t | 2021 | — | flat |
| 87 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Algeria | 0 1000 t | 2023 | — | flat |
| 87 | Estonia | 0 1000 t | 2023 | — | flat |
| 87 | Finland | 0 1000 t | 2023 | — | flat |
| 87 | Fiji | 0 1000 t | 2023 | — | volatile |
| 87 | Gabon | 0 1000 t | 2021 | — | flat |
| 87 | Georgia | 0 1000 t | 2023 | — | flat |
| 87 | Ghana | 0 1000 t | 2023 | — | flat |
| 87 | Gambia | 0 1000 t | 2023 | — | flat |
| 87 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 87 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Ireland | 0 1000 t | 2023 | — | flat |
| 87 | Jamaica | 0 1000 t | 2023 | — | flat |
| 87 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 87 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 87 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 87 | Lithuania | 0 1000 t | 2023 | — | flat |
| 87 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 87 | Latvia | 0 1000 t | 2023 | — | flat |
| 87 | Maldives | 0 1000 t | 2023 | — | flat |
| 87 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 87 | Malta | 0 1000 t | 2023 | — | flat |
| 87 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Namibia | 0 1000 t | 2023 | — | flat |
| 87 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 87 | Norway | 0 1000 t | 2023 | — | volatile |
| 87 | Nepal | 0 1000 t | 2023 | — | flat |
| 87 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Qatar | 0 1000 t | 2023 | — | flat |
| 87 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 87 | Solomon Islands | 0 1000 t | 2019 | — | flat |
| 87 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 87 | Sweden | 0 1000 t | 2023 | — | flat |
| 87 | Eswatini | 0 1000 t | 2023 | — | flat |
| 87 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 87 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 87 | Tunisia | 0 1000 t | 2023 | — | flat |
| 87 | Uganda | 0 1000 t | 2023 | — | flat |
| 87 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 87 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 87 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 87 | Côte d'Ivoire | 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 20,411 1000 t
- Americas 13,370 1000 t
- South America 6,001 1000 t
- Central America 4,775 1000 t
- Asia 4,223 1000 t
- Eastern Asia 3,317 1000 t
- Northern America 2,589 1000 t
- United States of America 2,580 1000 t
- Africa 1,819 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,671 1000 t
- Land Locked Developing Countries (LLDCs) 1,467 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,275 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.