Sorghum and products — Losses 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 — Losses is currently reported for 113 countries. The highest value is 481 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 1 1000 t, and the mean is 27.18 1000 t.
Over the past decade 21 countries rose and 30 fell. The largest increase was in Oman (up 700.0%), and the largest decrease in Bulgaria (down 100.0%).
Sorghum and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 481 1000 t | 2023 | up 105.6% | volatile |
| 1 | China, mainland | 481 1000 t | 2023 | up 105.6% | volatile |
| 3 | Nigeria | 292 1000 t | 2023 | up 16.8% | flat |
| 4 | Niger | 238 1000 t | 2023 | up 24.0% | rising |
| 5 | Mexico | 224 1000 t | 2023 | down 22.0% | falling |
| 6 | Ethiopia | 179 1000 t | 2023 | up 4.1% | rising |
| 7 | India | 177 1000 t | 2023 | down 30.6% | falling |
| 8 | Burkina Faso | 129 1000 t | 2023 | up 44.9% | rising |
| 9 | Cameroon | 120 1000 t | 2023 | down 36.2% | falling |
| 10 | Brazil | 113 1000 t | 2023 | up 109.3% | rising |
| 11 | United Republic of Tanzania | 76 1000 t | 2023 | down 26.2% | falling |
| 12 | Argentina | 74 1000 t | 2023 | down 57.0% | falling |
| 13 | Ghana | 67 1000 t | 2023 | up 71.8% | rising |
| 14 | Senegal | 65 1000 t | 2023 | up 364.3% | volatile |
| 15 | Egypt | 55 1000 t | 2023 | up 44.7% | rising |
| 16 | Australia | 51 1000 t | 2023 | down 51.4% | falling |
| 16 | Australia and New Zealand | 51 1000 t | 2023 | down 51.4% | falling |
| 18 | Kenya | 34 1000 t | 2023 | up 9.7% | rising |
| 19 | Guinea | 13 1000 t | 2023 | up 62.5% | rising |
| 20 | Uganda | 10 1000 t | 2023 | down 28.6% | falling |
| 20 | Bolivia (Plurinational State of) | 10 1000 t | 2023 | up 66.7% | volatile |
| 22 | Yemen | 9 1000 t | 2023 | down 55.0% | falling |
| 22 | Côte d'Ivoire | 9 1000 t | 2023 | up 50.0% | rising |
| 24 | Oman | 8 1000 t | 2023 | up 700.0% | volatile |
| 24 | Saudi Arabia | 8 1000 t | 2023 | up 33.3% | rising |
| 26 | Myanmar | 7 1000 t | 2023 | down 36.4% | falling |
| 26 | Mozambique | 7 1000 t | 2023 | up 16.7% | volatile |
| 26 | Mauritania | 7 1000 t | 2023 | down 12.5% | flat |
| 29 | Italy | 5 1000 t | 2023 | unchanged | rising |
| 29 | Malawi | 5 1000 t | 2023 | up 25.0% | rising |
| 29 | Paraguay | 5 1000 t | 2023 | unchanged | falling |
| 29 | El Salvador | 5 1000 t | 2023 | down 28.6% | falling |
| 29 | Russian Federation | 5 1000 t | 2023 | up 400.0% | volatile |
| 34 | France | 3 1000 t | 2023 | down 57.1% | volatile |
| 34 | Hungary | 3 1000 t | 2023 | up 200.0% | volatile |
| 34 | Nicaragua | 3 1000 t | 2023 | down 70.0% | falling |
| 34 | Sierra Leone | 3 1000 t | 2023 | up 200.0% | rising |
| 34 | Zimbabwe | 3 1000 t | 2023 | unchanged | rising |
| 39 | Angola | 2 1000 t | 2023 | unchanged | rising |
| 39 | Austria | 2 1000 t | 2023 | — | volatile |
| 39 | Israel | 2 1000 t | 2023 | down 33.3% | falling |
| 39 | Pakistan | 2 1000 t | 2023 | down 66.7% | falling |
| 39 | Romania | 2 1000 t | 2023 | down 60.0% | rising |
| 39 | Thailand | 2 1000 t | 2023 | unchanged | falling |
| 39 | Uruguay | 2 1000 t | 2023 | down 80.0% | volatile |
| 39 | Democratic People's Republic of Korea | 2 1000 t | 2018 | unchanged | flat |
| 47 | Belize | 1 1000 t | 2023 | unchanged | volatile |
| 47 | Botswana | 1 1000 t | 2023 | — | volatile |
| 47 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 47 | Gambia | 1 1000 t | 2023 | down 75.0% | volatile |
| 47 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | flat |
| 47 | Guatemala | 1 1000 t | 2023 | down 50.0% | falling |
| 47 | Honduras | 1 1000 t | 2023 | down 50.0% | falling |
| 47 | Haiti | 1 1000 t | 2023 | down 80.0% | volatile |
| 47 | Iraq | 1 1000 t | 2023 | unchanged | volatile |
| 47 | Morocco | 1 1000 t | 2023 | unchanged | volatile |
| 47 | Poland | 1 1000 t | 2023 | — | volatile |
| 47 | Rwanda | 1 1000 t | 2023 | down 85.7% | volatile |
| 47 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 47 | Ukraine | 1 1000 t | 2023 | down 90.0% | volatile |
| 47 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 47 | Zambia | 1 1000 t | 2023 | down 50.0% | falling |
| 47 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 47 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 47 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 96.3% | volatile |
| 47 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 68 | Albania | 0 1000 t | 2019 | — | flat |
| 68 | United Arab Emirates | 0 1000 t | 2019 | — | flat |
| 68 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 68 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 68 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Bahrain | 0 1000 t | 2023 | — | flat |
| 68 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 68 | Cuba | 0 1000 t | 2019 | — | volatile |
| 68 | Cyprus | 0 1000 t | 2021 | — | flat |
| 68 | Czechia | 0 1000 t | 2023 | — | flat |
| 68 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 68 | Algeria | 0 1000 t | 2023 | — | flat |
| 68 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Fiji | 0 1000 t | 2023 | — | flat |
| 68 | Greece | 0 1000 t | 2023 | — | flat |
| 68 | Croatia | 0 1000 t | 2023 | — | flat |
| 68 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 68 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 68 | Lebanon | 0 1000 t | 2023 | — | flat |
| 68 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 68 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 68 | Madagascar | 0 1000 t | 2023 | — | flat |
| 68 | Maldives | 0 1000 t | 2023 | — | flat |
| 68 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 68 | Namibia | 0 1000 t | 2023 | — | flat |
| 68 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 68 | Panama | 0 1000 t | 2023 | — | flat |
| 68 | Peru | 0 1000 t | 2023 | — | flat |
| 68 | Philippines | 0 1000 t | 2023 | — | flat |
| 68 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 68 | Qatar | 0 1000 t | 2023 | — | flat |
| 68 | Serbia | 0 1000 t | 2023 | — | flat |
| 68 | Slovenia | 0 1000 t | 2023 | — | flat |
| 68 | Eswatini | 0 1000 t | 2023 | — | flat |
| 68 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 68 | Turkmenistan | 0 1000 t | 2019 | — | flat |
| 68 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 68 | Micronesia | 0 1000 t | 2023 | — | flat |
| 68 | Melanesia | 0 1000 t | 2023 | — | flat |
| 68 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 68 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 68 | Viet Nam | 0 1000 t | 2019 | — | flat |
| 68 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 68 | Netherlands (Kingdom of the) | 0 1000 t | 2019 | — | flat |
| 68 | Micronesia (Federated States 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 4,181 1000 t
- Africa 2,594 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,176 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,131 1000 t
- Least Developed Countries (LDCs) 2,022 1000 t
- Land Locked Developing Countries (LLDCs) 1,149 1000 t
- Western Africa 1,097 1000 t
- Americas 809 1000 t
- Northern Africa 718 1000 t
- Asia 701 1000 t
- Eastern Africa 524 1000 t
- Eastern Asia 484 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.