Cereals, other — 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...
Countries reporting
176
Highest
4,832 1000 t
Poland
Lowest
0 1000 t
China, Macao SAR
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,756
What the numbers show
Cereals, other — Feed is currently reported for 176 countries. The highest value is 4,832 1000 t in Poland; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 2 1000 t, and the mean is 137.85 1000 t.
Over the past decade 47 countries rose and 49 fell. The largest increase was in Ghana (up 60,300.0%), and the largest decrease in Costa Rica (down 100.0%).
Cereals, other — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Poland | 4,832 1000 t | 2023 | down 21.8% | falling |
| 2 | China | 3,352 1000 t | 2023 | up 401.0% | volatile |
| 3 | China, mainland | 3,348 1000 t | 2023 | up 422.3% | volatile |
| 4 | France | 2,194 1000 t | 2023 | down 9.3% | falling |
| 5 | Germany | 1,380 1000 t | 2023 | down 41.9% | falling |
| 6 | Belarus | 1,153 1000 t | 2023 | up 0.3% | falling |
| 7 | Spain | 678 1000 t | 2023 | up 35.3% | rising |
| 8 | Russian Federation | 620 1000 t | 2023 | down 25.4% | falling |
| 9 | Ghana | 604 1000 t | 2023 | up 60,300.0% | volatile |
| 10 | Türkiye | 477 1000 t | 2023 | up 155.1% | rising |
| 11 | Kazakhstan | 408 1000 t | 2023 | up 45.7% | rising |
| 12 | Austria | 308 1000 t | 2023 | up 8.5% | falling |
| 13 | Hungary | 292 1000 t | 2023 | down 19.3% | falling |
| 14 | Mexico | 279 1000 t | 2023 | down 35.0% | falling |
| 15 | Uruguay | 277 1000 t | 2023 | up 1,285.0% | volatile |
| 16 | Kenya | 269 1000 t | 2023 | up 80.5% | volatile |
| 17 | Netherlands (Kingdom of the) | 232 1000 t | 2023 | up 82.7% | volatile |
| 18 | United Arab Emirates | 195 1000 t | 2023 | up 2,337.5% | volatile |
| 19 | Bulgaria | 185 1000 t | 2023 | up 115.1% | rising |
| 20 | Lithuania | 175 1000 t | 2023 | down 19.7% | falling |
| 21 | Romania | 166 1000 t | 2023 | down 30.5% | rising |
| 22 | Saudi Arabia | 165 1000 t | 2023 | up 8,150.0% | volatile |
| 23 | Czechia | 164 1000 t | 2023 | down 11.8% | falling |
| 24 | Belgium | 156 1000 t | 2023 | down 18.8% | rising |
| 25 | Italy | 147 1000 t | 2023 | up 25.6% | rising |
| 26 | Denmark | 129 1000 t | 2023 | down 1.5% | falling |
| 26 | India | 129 1000 t | 2023 | down 33.8% | volatile |
| 26 | Sweden | 129 1000 t | 2023 | down 57.4% | falling |
| 29 | Greece | 114 1000 t | 2023 | up 62.9% | rising |
| 30 | Serbia | 110 1000 t | 2023 | up 59.4% | rising |
| 31 | Australia and New Zealand | 103 1000 t | 2023 | down 47.4% | volatile |
| 32 | Australia | 99 1000 t | 2023 | down 38.9% | volatile |
| 33 | Argentina | 92 1000 t | 2023 | down 39.9% | falling |
| 34 | Chile | 85 1000 t | 2023 | down 44.8% | falling |
| 35 | Republic of Korea | 78 1000 t | 2023 | up 73.3% | volatile |
| 36 | Ethiopia | 68 1000 t | 2023 | up 19.3% | rising |
| 37 | Luxembourg | 65 1000 t | 2023 | up 170.8% | volatile |
| 38 | United Kingdom of Great Britain and Northern Ireland | 64 1000 t | 2023 | down 8.6% | falling |
| 39 | Switzerland | 63 1000 t | 2023 | up 6.8% | flat |
| 40 | Latvia | 61 1000 t | 2023 | up 24.5% | rising |
| 41 | Guatemala | 47 1000 t | 2023 | up 2,250.0% | volatile |
| 42 | Canada | 44 1000 t | 2023 | up 144.4% | rising |
| 43 | Ireland | 40 1000 t | 2023 | down 4.8% | falling |
| 43 | Portugal | 40 1000 t | 2023 | down 42.9% | volatile |
| 43 | Tunisia | 40 1000 t | 2023 | down 21.6% | volatile |
| 46 | Oman | 39 1000 t | 2023 | up 290.0% | volatile |
| 47 | Guinea | 37 1000 t | 2023 | down 36.2% | falling |
| 48 | Croatia | 36 1000 t | 2023 | down 43.8% | falling |
| 49 | Finland | 33 1000 t | 2023 | up 50.0% | rising |
| 50 | Slovakia | 30 1000 t | 2023 | down 11.8% | rising |
| 51 | Niger | 28 1000 t | 2023 | up 833.3% | volatile |
| 52 | Estonia | 27 1000 t | 2023 | up 42.1% | rising |
| 53 | Israel | 23 1000 t | 2023 | down 66.7% | volatile |
| 53 | Slovenia | 23 1000 t | 2023 | down 14.8% | rising |
| 55 | Brazil | 21 1000 t | 2023 | down 30.0% | falling |
| 56 | Bosnia and Herzegovina | 20 1000 t | 2023 | down 56.5% | rising |
| 56 | Georgia | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 58 | Iraq | 19 1000 t | 2023 | — | volatile |
| 58 | Côte d'Ivoire | 19 1000 t | 2023 | up 216.7% | volatile |
| 58 | United Republic of Tanzania | 19 1000 t | 2023 | up 850.0% | volatile |
| 61 | Uzbekistan | 17 1000 t | 2023 | up 466.7% | volatile |
| 62 | Ukraine | 16 1000 t | 2023 | up 45.5% | rising |
| 63 | Senegal | 15 1000 t | 2023 | — | volatile |
| 64 | Azerbaijan | 14 1000 t | 2023 | up 366.7% | volatile |
| 65 | Indonesia | 10 1000 t | 2023 | down 16.7% | volatile |
| 66 | Colombia | 9 1000 t | 2023 | down 35.7% | rising |
| 66 | Thailand | 9 1000 t | 2023 | down 73.5% | volatile |
| 68 | Jordan | 7 1000 t | 2023 | up 600.0% | volatile |
| 68 | Myanmar | 7 1000 t | 2023 | up 250.0% | volatile |
| 70 | Cambodia | 5 1000 t | 2023 | down 54.5% | volatile |
| 70 | Kuwait | 5 1000 t | 2023 | up 25.0% | volatile |
| 70 | Peru | 5 1000 t | 2023 | up 25.0% | falling |
| 70 | Philippines | 5 1000 t | 2023 | up 400.0% | volatile |
| 70 | Zimbabwe | 5 1000 t | 2023 | down 44.4% | volatile |
| 70 | Lao People's Democratic Republic | 5 1000 t | 2023 | up 25.0% | volatile |
| 76 | Cyprus | 4 1000 t | 2023 | — | volatile |
| 76 | Lebanon | 4 1000 t | 2023 | down 42.9% | falling |
| 76 | Morocco | 4 1000 t | 2023 | up 100.0% | volatile |
| 76 | Malta | 4 1000 t | 2023 | up 300.0% | volatile |
| 76 | New Zealand | 4 1000 t | 2023 | down 88.2% | volatile |
| 76 | Pakistan | 4 1000 t | 2023 | up 100.0% | volatile |
| 76 | China, Taiwan Province of | 4 1000 t | 2023 | down 85.2% | volatile |
| 83 | Congo | 3 1000 t | 2023 | up 50.0% | rising |
| 83 | Algeria | 3 1000 t | 2023 | up 50.0% | volatile |
| 83 | Honduras | 3 1000 t | 2023 | down 40.0% | rising |
| 83 | Mongolia | 3 1000 t | 2023 | — | volatile |
| 83 | Norway | 3 1000 t | 2023 | up 50.0% | volatile |
| 88 | Armenia | 2 1000 t | 2023 | unchanged | volatile |
| 88 | Bangladesh | 2 1000 t | 2023 | — | volatile |
| 88 | Iceland | 2 1000 t | 2023 | down 50.0% | rising |
| 88 | Kyrgyzstan | 2 1000 t | 2023 | unchanged | volatile |
| 88 | Liberia | 2 1000 t | 2023 | — | volatile |
| 88 | Panama | 2 1000 t | 2023 | up 100.0% | volatile |
| 88 | Caribbean | 2 1000 t | 2023 | down 60.0% | falling |
| 88 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 96 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 96 | Bahrain | 1 1000 t | 2023 | — | rising |
| 96 | Botswana | 1 1000 t | 2023 | — | volatile |
| 96 | Dominican Republic | 1 1000 t | 2023 | unchanged | rising |
| 96 | Ecuador | 1 1000 t | 2023 | unchanged | falling |
| 96 | Mauritania | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Malaysia | 1 1000 t | 2023 | down 85.7% | volatile |
| 96 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 96 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 96 | Rwanda | 1 1000 t | 2023 | down 88.9% | volatile |
| 96 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 96 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 96 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 96 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 96 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 96 | Republic of Moldova | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Angola | 0 1000 t | 2023 | — | volatile |
| 114 | Albania | 0 1000 t | 2023 | — | volatile |
| 114 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 114 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 114 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 114 | Belize | 0 1000 t | 2023 | — | flat |
| 114 | Barbados | 0 1000 t | 2023 | — | flat |
| 114 | Bhutan | 0 1000 t | 2023 | — | flat |
| 114 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 114 | Comoros | 0 1000 t | 2023 | — | flat |
| 114 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Cuba | 0 1000 t | 2019 | — | flat |
| 114 | Djibouti | 0 1000 t | 2023 | — | flat |
| 114 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Fiji | 0 1000 t | 2023 | — | flat |
| 114 | Gabon | 0 1000 t | 2023 | — | flat |
| 114 | Gambia | 0 1000 t | 2023 | — | flat |
| 114 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 114 | Grenada | 0 1000 t | 2023 | — | flat |
| 114 | Guyana | 0 1000 t | 2023 | — | flat |
| 114 | Haiti | 0 1000 t | 2023 | — | volatile |
| 114 | Jamaica | 0 1000 t | 2023 | — | flat |
| 114 | Kiribati | 0 1000 t | 2023 | — | flat |
| 114 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 114 | Libya | 0 1000 t | 2023 | — | volatile |
| 114 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 114 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 114 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 114 | Madagascar | 0 1000 t | 2023 | — | flat |
| 114 | Maldives | 0 1000 t | 2023 | — | flat |
| 114 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 114 | Montenegro | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Mozambique | 0 1000 t | 2023 | — | flat |
| 114 | Mauritius | 0 1000 t | 2023 | — | flat |
| 114 | Malawi | 0 1000 t | 2023 | — | volatile |
| 114 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 114 | Nepal | 0 1000 t | 2023 | — | volatile |
| 114 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 114 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 114 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 114 | Qatar | 0 1000 t | 2023 | — | volatile |
| 114 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 114 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 114 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 114 | Suriname | 0 1000 t | 2023 | — | volatile |
| 114 | Seychelles | 0 1000 t | 2023 | — | flat |
| 114 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Uganda | 0 1000 t | 2023 | — | volatile |
| 114 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 114 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 114 | Samoa | 0 1000 t | 2023 | — | flat |
| 114 | Yemen | 0 1000 t | 2023 | — | volatile |
| 114 | Zambia | 0 1000 t | 2023 | — | volatile |
| 114 | Micronesia | 0 1000 t | 2023 | — | flat |
| 114 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 114 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 114 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 114 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 114 | China, Macao SAR | 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 21,232 1000 t
- Europe 13,695 1000 t
- European Union (27) 11,646 1000 t
- Eastern Europe 7,460 1000 t
- Asia 5,096 1000 t
- Western Europe 4,398 1000 t
- Eastern Asia 3,509 1000 t
- Africa 1,224 1000 t
- Southern Europe 1,173 1000 t
- Americas 1,113 1000 t
- Western Asia 977 1000 t
- Western Africa 738 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.