Cereals, other — Food 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
Cereals, other — Food is currently reported for 182 countries. The highest value is 6,095 1000 t in Ethiopia; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 4 1000 t, and the mean is 61.87 1000 t.
Over the past decade 64 countries rose and 46 fell. The largest increase was in Belgium (up 5,900.0%), and the largest decrease in Angola (down 100.0%).
Cereals, other — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ethiopia | 6,095 1000 t | 2023 | up 54.0% | rising |
| 2 | Netherlands (Kingdom of the) | 699 1000 t | 2023 | up 294.9% | volatile |
| 3 | Russian Federation | 555 1000 t | 2023 | up 13.7% | rising |
| 4 | China | 512 1000 t | 2023 | up 18.5% | rising |
| 5 | China, mainland | 483 1000 t | 2023 | up 22.0% | rising |
| 6 | Liberia | 213 1000 t | 2023 | — | volatile |
| 7 | Ukraine | 154 1000 t | 2023 | down 11.5% | falling |
| 8 | Guinea | 129 1000 t | 2023 | up 11.2% | rising |
| 8 | Poland | 129 1000 t | 2023 | up 43.3% | rising |
| 10 | Kazakhstan | 126 1000 t | 2023 | up 96.9% | rising |
| 11 | Mexico | 122 1000 t | 2023 | down 15.3% | rising |
| 12 | Brazil | 115 1000 t | 2023 | down 0.9% | falling |
| 13 | Malaysia | 92 1000 t | 2023 | up 5.7% | rising |
| 14 | Italy | 85 1000 t | 2023 | down 13.3% | rising |
| 15 | Argentina | 73 1000 t | 2023 | up 37.7% | rising |
| 16 | Lao People's Democratic Republic | 72 1000 t | 2023 | up 16.1% | falling |
| 17 | Nigeria | 69 1000 t | 2023 | up 1.5% | rising |
| 18 | Belgium | 60 1000 t | 2023 | up 5,900.0% | volatile |
| 19 | Saudi Arabia | 59 1000 t | 2023 | up 13.5% | volatile |
| 20 | Uganda | 54 1000 t | 2023 | up 80.0% | rising |
| 21 | Australia and New Zealand | 52 1000 t | 2023 | up 57.6% | rising |
| 22 | United Republic of Tanzania | 51 1000 t | 2023 | up 155.0% | rising |
| 23 | Iraq | 47 1000 t | 2023 | — | volatile |
| 24 | Chile | 46 1000 t | 2023 | up 119.0% | volatile |
| 24 | Thailand | 46 1000 t | 2023 | up 31.4% | rising |
| 24 | Caribbean | 46 1000 t | 2023 | up 411.1% | volatile |
| 24 | United Kingdom of Great Britain and Northern Ireland | 46 1000 t | 2023 | up 228.6% | volatile |
| 28 | Ireland | 42 1000 t | 2023 | up 1,300.0% | volatile |
| 29 | Peru | 41 1000 t | 2023 | down 2.4% | rising |
| 30 | Georgia | 39 1000 t | 2023 | up 178.6% | volatile |
| 31 | France | 38 1000 t | 2023 | up 280.0% | rising |
| 32 | Serbia | 37 1000 t | 2023 | up 23.3% | rising |
| 33 | El Salvador | 32 1000 t | 2023 | up 255.6% | volatile |
| 34 | Australia | 28 1000 t | 2023 | up 47.4% | rising |
| 34 | Bolivia (Plurinational State of) | 28 1000 t | 2023 | up 16.7% | rising |
| 36 | Guatemala | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 37 | Canada | 26 1000 t | 2023 | down 49.0% | volatile |
| 37 | Democratic Republic of the Congo | 26 1000 t | 2023 | up 766.7% | volatile |
| 39 | Republic of Korea | 25 1000 t | 2023 | up 78.6% | rising |
| 40 | New Zealand | 24 1000 t | 2023 | up 71.4% | rising |
| 40 | Uzbekistan | 24 1000 t | 2023 | up 140.0% | rising |
| 40 | Yemen | 24 1000 t | 2023 | — | volatile |
| 43 | Pakistan | 23 1000 t | 2023 | down 43.9% | volatile |
| 44 | Cyprus | 22 1000 t | 2023 | — | volatile |
| 45 | Côte d'Ivoire | 19 1000 t | 2023 | up 18.8% | rising |
| 46 | Germany | 18 1000 t | 2023 | down 57.1% | volatile |
| 46 | Melanesia | 18 1000 t | 2023 | up 28.6% | rising |
| 48 | China, Taiwan Province of | 17 1000 t | 2023 | unchanged | flat |
| 49 | Mauritania | 16 1000 t | 2023 | up 220.0% | volatile |
| 49 | Romania | 16 1000 t | 2023 | down 52.9% | rising |
| 51 | Burkina Faso | 15 1000 t | 2023 | down 25.0% | falling |
| 51 | Czechia | 15 1000 t | 2023 | up 114.3% | volatile |
| 51 | Nepal | 15 1000 t | 2023 | up 36.4% | rising |
| 51 | Uruguay | 15 1000 t | 2023 | up 275.0% | volatile |
| 55 | Belarus | 14 1000 t | 2023 | down 67.4% | falling |
| 55 | Senegal | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 57 | Lithuania | 13 1000 t | 2023 | up 333.3% | volatile |
| 57 | Zambia | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 57 | Republic of Moldova | 13 1000 t | 2023 | unchanged | falling |
| 60 | Trinidad and Tobago | 12 1000 t | 2023 | up 100.0% | rising |
| 61 | Ghana | 11 1000 t | 2023 | up 120.0% | volatile |
| 62 | Lesotho | 10 1000 t | 2023 | up 150.0% | volatile |
| 62 | Myanmar | 10 1000 t | 2023 | down 9.1% | falling |
| 62 | Papua New Guinea | 10 1000 t | 2023 | down 9.1% | falling |
| 62 | Tajikistan | 10 1000 t | 2023 | up 900.0% | volatile |
| 66 | Armenia | 9 1000 t | 2023 | up 12.5% | falling |
| 66 | Kyrgyzstan | 9 1000 t | 2023 | up 200.0% | volatile |
| 66 | Montenegro | 9 1000 t | 2023 | up 350.0% | volatile |
| 66 | Sierra Leone | 9 1000 t | 2023 | up 12.5% | rising |
| 70 | Azerbaijan | 8 1000 t | 2023 | down 69.2% | volatile |
| 70 | Switzerland | 8 1000 t | 2023 | up 14.3% | rising |
| 70 | Colombia | 8 1000 t | 2023 | up 100.0% | rising |
| 70 | Niger | 8 1000 t | 2023 | down 27.3% | volatile |
| 70 | Tunisia | 8 1000 t | 2023 | unchanged | falling |
| 75 | Finland | 7 1000 t | 2023 | down 12.5% | falling |
| 75 | Fiji | 7 1000 t | 2023 | up 250.0% | volatile |
| 75 | Panama | 7 1000 t | 2023 | up 40.0% | volatile |
| 75 | Qatar | 7 1000 t | 2023 | — | volatile |
| 79 | Botswana | 6 1000 t | 2023 | down 25.0% | falling |
| 79 | Hungary | 6 1000 t | 2023 | down 14.3% | falling |
| 79 | Cambodia | 6 1000 t | 2023 | up 500.0% | volatile |
| 79 | Slovakia | 6 1000 t | 2023 | up 20.0% | rising |
| 79 | China, Hong Kong SAR | 6 1000 t | 2023 | down 64.7% | falling |
| 84 | China, Macao SAR | 5 1000 t | 2023 | up 66.7% | rising |
| 85 | Austria | 4 1000 t | 2023 | — | volatile |
| 85 | Haiti | 4 1000 t | 2023 | up 300.0% | volatile |
| 85 | Libya | 4 1000 t | 2023 | up 300.0% | volatile |
| 85 | Mongolia | 4 1000 t | 2023 | up 33.3% | volatile |
| 85 | Nicaragua | 4 1000 t | 2023 | unchanged | volatile |
| 85 | Oman | 4 1000 t | 2023 | down 92.3% | volatile |
| 85 | Portugal | 4 1000 t | 2023 | unchanged | rising |
| 85 | Slovenia | 4 1000 t | 2023 | up 33.3% | rising |
| 93 | Djibouti | 3 1000 t | 2023 | — | volatile |
| 93 | Luxembourg | 3 1000 t | 2023 | down 57.1% | volatile |
| 93 | Zimbabwe | 3 1000 t | 2023 | unchanged | rising |
| 96 | Bangladesh | 2 1000 t | 2023 | up 100.0% | volatile |
| 96 | Bosnia and Herzegovina | 2 1000 t | 2023 | unchanged | rising |
| 96 | Bhutan | 2 1000 t | 2023 | — | falling |
| 96 | Cameroon | 2 1000 t | 2023 | — | volatile |
| 96 | Congo | 2 1000 t | 2023 | — | volatile |
| 96 | Estonia | 2 1000 t | 2023 | unchanged | rising |
| 96 | Guinea-Bissau | 2 1000 t | 2023 | unchanged | volatile |
| 96 | Greece | 2 1000 t | 2023 | down 83.3% | falling |
| 96 | India | 2 1000 t | 2023 | down 97.9% | volatile |
| 96 | Israel | 2 1000 t | 2023 | up 100.0% | volatile |
| 96 | Latvia | 2 1000 t | 2023 | down 81.8% | falling |
| 96 | Madagascar | 2 1000 t | 2023 | up 100.0% | volatile |
| 96 | Philippines | 2 1000 t | 2023 | down 66.7% | volatile |
| 96 | Eswatini | 2 1000 t | 2023 | — | volatile |
| 110 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 110 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 110 | Bahrain | 1 1000 t | 2023 | — | falling |
| 110 | Comoros | 1 1000 t | 2023 | — | volatile |
| 110 | Cuba | 1 1000 t | 2019 | unchanged | volatile |
| 110 | Denmark | 1 1000 t | 2023 | — | volatile |
| 110 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 110 | Ecuador | 1 1000 t | 2023 | down 50.0% | flat |
| 110 | Gambia | 1 1000 t | 2023 | down 85.7% | volatile |
| 110 | Guyana | 1 1000 t | 2023 | down 50.0% | volatile |
| 110 | Honduras | 1 1000 t | 2023 | down 83.3% | falling |
| 110 | Indonesia | 1 1000 t | 2023 | down 98.1% | volatile |
| 110 | Jordan | 1 1000 t | 2023 | down 66.7% | volatile |
| 110 | Kenya | 1 1000 t | 2023 | — | volatile |
| 110 | Malta | 1 1000 t | 2023 | — | volatile |
| 110 | Suriname | 1 1000 t | 2023 | — | volatile |
| 110 | Sweden | 1 1000 t | 2023 | down 66.7% | rising |
| 110 | Samoa | 1 1000 t | 2023 | — | volatile |
| 110 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 110 | Cabo Verde | 1 1000 t | 2023 | unchanged | rising |
| 110 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 110 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 110 | Viet Nam | 1 1000 t | 2023 | down 75.0% | volatile |
| 133 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Albania | 0 1000 t | 2023 | — | volatile |
| 133 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 133 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 133 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Belize | 0 1000 t | 2023 | — | flat |
| 133 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 133 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Egypt | 0 1000 t | 2023 | — | flat |
| 133 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Gabon | 0 1000 t | 2023 | — | flat |
| 133 | Grenada | 0 1000 t | 2023 | — | flat |
| 133 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Iceland | 0 1000 t | 2023 | — | flat |
| 133 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 133 | Kiribati | 0 1000 t | 2023 | — | flat |
| 133 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 133 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 133 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 133 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 133 | Morocco | 0 1000 t | 2023 | — | volatile |
| 133 | Maldives | 0 1000 t | 2023 | — | volatile |
| 133 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 133 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 133 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 133 | Malawi | 0 1000 t | 2023 | — | volatile |
| 133 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 133 | Norway | 0 1000 t | 2023 | — | flat |
| 133 | Nauru | 0 1000 t | 2023 | — | flat |
| 133 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 133 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 133 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 133 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 133 | Seychelles | 0 1000 t | 2023 | — | flat |
| 133 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Tonga | 0 1000 t | 2023 | — | flat |
| 133 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 133 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 133 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 133 | Micronesia | 0 1000 t | 2023 | — | flat |
| 133 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 133 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 133 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Democratic People's Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 133 | 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 13,141 1000 t
- Net Food Importing Developing Countries (NFIDCs) 7,612 1000 t
- Africa 7,470 1000 t
- Least Developed Countries (LDCs) 7,429 1000 t
- Low Income Food Deficit Countries (LIFDCs) 7,375 1000 t
- Land Locked Developing Countries (LLDCs) 7,055 1000 t
- Eastern Africa 6,270 1000 t
- Americas 2,283 1000 t
- Europe 1,997 1000 t
- Northern America 1,715 1000 t
- United States of America 1,689 1000 t
- Asia 1,321 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.