Cereals, other — Production 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 — Production is currently reported for 102 countries. The highest value is 6,536 1000 t in Ethiopia; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 28 1000 t, and the mean is 295.26 1000 t.
Over the past decade 41 countries rose and 39 fell. The largest increase was in Oman (up 3,500.0%), and the largest decrease in Ecuador (down 100.0%).
Cereals, other — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ethiopia | 6,536 1000 t | 2023 | up 47.9% | rising |
| 2 | Poland | 6,382 1000 t | 2023 | down 13.8% | falling |
| 3 | France | 2,389 1000 t | 2023 | down 6.6% | falling |
| 4 | Germany | 1,852 1000 t | 2023 | down 31.2% | falling |
| 5 | Russian Federation | 1,755 1000 t | 2023 | up 16.8% | rising |
| 6 | Belarus | 1,356 1000 t | 2023 | up 2.8% | falling |
| 7 | China | 1,105 1000 t | 2023 | down 8.9% | falling |
| 7 | China, mainland | 1,105 1000 t | 2023 | down 8.9% | falling |
| 9 | Türkiye | 705 1000 t | 2023 | up 349.0% | volatile |
| 10 | Guinea | 491 1000 t | 2023 | up 8.9% | rising |
| 11 | Kazakhstan | 481 1000 t | 2023 | up 31.4% | rising |
| 12 | Argentina | 479 1000 t | 2023 | up 203.2% | volatile |
| 13 | Spain | 340 1000 t | 2023 | down 29.2% | rising |
| 14 | Austria | 338 1000 t | 2023 | up 17.4% | rising |
| 15 | Canada | 321 1000 t | 2023 | down 0.9% | rising |
| 15 | Hungary | 321 1000 t | 2023 | down 31.6% | falling |
| 17 | Thailand | 320 1000 t | 2023 | up 7.0% | rising |
| 18 | Lithuania | 291 1000 t | 2023 | down 45.7% | falling |
| 19 | Ukraine | 271 1000 t | 2023 | up 16.8% | falling |
| 20 | Czechia | 218 1000 t | 2023 | down 5.6% | flat |
| 21 | Romania | 202 1000 t | 2023 | down 19.8% | rising |
| 22 | Bulgaria | 201 1000 t | 2023 | down 2.9% | falling |
| 23 | Italy | 168 1000 t | 2023 | up 8.4% | rising |
| 24 | Australia and New Zealand | 164 1000 t | 2023 | down 25.1% | volatile |
| 25 | Lao People's Democratic Republic | 160 1000 t | 2023 | up 175.9% | rising |
| 26 | Serbia | 150 1000 t | 2023 | up 45.6% | rising |
| 27 | Belgium | 149 1000 t | 2023 | up 35.5% | rising |
| 28 | Australia | 147 1000 t | 2023 | down 29.3% | volatile |
| 29 | Sweden | 138 1000 t | 2023 | down 24.6% | falling |
| 30 | Brazil | 137 1000 t | 2023 | down 4.2% | falling |
| 31 | United Kingdom of Great Britain and Northern Ireland | 98 1000 t | 2023 | up 14.0% | rising |
| 32 | Peru | 95 1000 t | 2023 | up 58.3% | rising |
| 33 | Nigeria | 85 1000 t | 2023 | up 3.7% | rising |
| 34 | United Republic of Tanzania | 80 1000 t | 2023 | up 73.9% | rising |
| 35 | Finland | 67 1000 t | 2023 | down 4.3% | falling |
| 36 | Chile | 66 1000 t | 2023 | down 43.1% | falling |
| 37 | Netherlands (Kingdom of the) | 64 1000 t | 2023 | down 5.9% | flat |
| 38 | Denmark | 54 1000 t | 2023 | down 50.5% | falling |
| 39 | Uganda | 53 1000 t | 2023 | up 76.7% | rising |
| 40 | Tunisia | 50 1000 t | 2023 | down 18.0% | falling |
| 40 | Bolivia (Plurinational State of) | 50 1000 t | 2023 | down 24.2% | rising |
| 42 | Latvia | 41 1000 t | 2023 | down 42.3% | falling |
| 43 | Switzerland | 38 1000 t | 2023 | down 25.5% | falling |
| 43 | Estonia | 38 1000 t | 2023 | up 22.6% | rising |
| 43 | Slovakia | 38 1000 t | 2023 | down 15.6% | flat |
| 46 | Oman | 36 1000 t | 2023 | up 3,500.0% | volatile |
| 47 | India | 34 1000 t | 2023 | down 67.6% | volatile |
| 48 | Greece | 33 1000 t | 2023 | up 22.2% | volatile |
| 48 | Croatia | 33 1000 t | 2023 | down 34.0% | falling |
| 50 | Luxembourg | 30 1000 t | 2023 | up 11.1% | rising |
| 51 | Mexico | 28 1000 t | 2023 | up 86.7% | volatile |
| 51 | Pakistan | 28 1000 t | 2023 | up 33.3% | rising |
| 53 | Slovenia | 25 1000 t | 2023 | up 38.9% | rising |
| 54 | Republic of Korea | 23 1000 t | 2023 | up 53.3% | rising |
| 55 | Myanmar | 22 1000 t | 2023 | up 69.2% | volatile |
| 56 | Bosnia and Herzegovina | 20 1000 t | 2023 | down 58.3% | rising |
| 56 | Côte d'Ivoire | 20 1000 t | 2023 | up 17.6% | rising |
| 58 | New Zealand | 17 1000 t | 2023 | up 70.0% | rising |
| 59 | Burkina Faso | 15 1000 t | 2023 | down 25.0% | falling |
| 59 | Nepal | 15 1000 t | 2023 | up 50.0% | rising |
| 61 | Botswana | 14 1000 t | 2023 | up 250.0% | volatile |
| 62 | Zambia | 13 1000 t | 2023 | down 43.5% | rising |
| 63 | Uzbekistan | 11 1000 t | 2023 | up 57.1% | falling |
| 64 | Portugal | 10 1000 t | 2023 | down 78.7% | falling |
| 64 | Sierra Leone | 10 1000 t | 2023 | up 11.1% | rising |
| 66 | Armenia | 9 1000 t | 2023 | down 47.1% | falling |
| 67 | Niger | 8 1000 t | 2023 | unchanged | rising |
| 68 | Georgia | 7 1000 t | 2023 | unchanged | rising |
| 68 | Ghana | 7 1000 t | 2023 | up 250.0% | rising |
| 68 | Jordan | 7 1000 t | 2023 | — | volatile |
| 68 | Senegal | 7 1000 t | 2023 | up 600.0% | volatile |
| 68 | Republic of Moldova | 7 1000 t | 2023 | down 12.5% | falling |
| 73 | Colombia | 6 1000 t | 2023 | up 500.0% | volatile |
| 74 | Morocco | 5 1000 t | 2023 | up 66.7% | rising |
| 75 | Bangladesh | 4 1000 t | 2023 | up 300.0% | volatile |
| 75 | Uruguay | 4 1000 t | 2023 | unchanged | flat |
| 77 | Congo | 3 1000 t | 2023 | up 50.0% | rising |
| 77 | Nicaragua | 3 1000 t | 2023 | unchanged | flat |
| 77 | Zimbabwe | 3 1000 t | 2023 | up 50.0% | rising |
| 80 | Bhutan | 2 1000 t | 2023 | — | falling |
| 80 | Guinea-Bissau | 2 1000 t | 2023 | down 33.3% | falling |
| 80 | Indonesia | 2 1000 t | 2023 | down 95.6% | volatile |
| 80 | Mongolia | 2 1000 t | 2023 | down 50.0% | volatile |
| 84 | Cyprus | 1 1000 t | 2023 | — | flat |
| 84 | Gambia | 1 1000 t | 2023 | unchanged | falling |
| 84 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 87 | Belize | 0 1000 t | 2023 | — | flat |
| 87 | Algeria | 0 1000 t | 2023 | — | volatile |
| 87 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Guatemala | 0 1000 t | 2023 | — | flat |
| 87 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Lebanon | 0 1000 t | 2023 | — | flat |
| 87 | Madagascar | 0 1000 t | 2023 | — | flat |
| 87 | Malta | 0 1000 t | 2023 | — | flat |
| 87 | Norway | 0 1000 t | 2023 | — | flat |
| 87 | Qatar | 0 1000 t | 2023 | — | flat |
| 87 | Rwanda | 0 1000 t | 2023 | — | flat |
| 87 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 87 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 87 | Yemen | 0 1000 t | 2023 | — | flat |
| 87 | China, Taiwan Province 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 29,965 1000 t
- Europe 17,117 1000 t
- European Union (27) 13,424 1000 t
- Eastern Europe 10,751 1000 t
- Net Food Importing Developing Countries (NFIDCs) 8,272 1000 t
- Africa 8,091 1000 t
- Least Developed Countries (LDCs) 8,048 1000 t
- Land Locked Developing Countries (LLDCs) 8,005 1000 t
- Low Income Food Deficit Countries (LIFDCs) 7,869 1000 t
- Eastern Africa 6,700 1000 t
- Western Europe 4,861 1000 t
- Asia 3,170 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.