Cereals, other — Seed 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 — Seed is currently reported for 66 countries. The highest value is 321 1000 t in Poland; the lowest is 0 1000 t in Ireland.
The median across all reporting countries is 1.5 1000 t, and the mean is 16.35 1000 t.
Over the past decade 9 countries rose and 22 fell. The largest increase was in Argentina (up 200.0%), and the largest decrease in Peru (down 100.0%).
Cereals, other — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Poland | 321 1000 t | 2023 | down 26.4% | falling |
| 2 | Belarus | 131 1000 t | 2023 | down 3.7% | falling |
| 3 | Russian Federation | 84 1000 t | 2023 | up 37.7% | rising |
| 4 | Ethiopia | 78 1000 t | 2023 | up 11.4% | rising |
| 5 | China, mainland | 75 1000 t | 2023 | down 12.8% | falling |
| 5 | China | 75 1000 t | 2023 | down 12.8% | falling |
| 7 | France | 52 1000 t | 2023 | down 22.4% | falling |
| 8 | Germany | 43 1000 t | 2023 | down 36.8% | falling |
| 9 | Lithuania | 25 1000 t | 2023 | down 30.6% | falling |
| 10 | Spain | 22 1000 t | 2023 | down 54.2% | rising |
| 11 | Canada | 17 1000 t | 2023 | up 21.4% | rising |
| 11 | Ukraine | 17 1000 t | 2023 | unchanged | falling |
| 13 | Hungary | 15 1000 t | 2023 | down 51.6% | falling |
| 14 | Czechia | 11 1000 t | 2023 | down 15.4% | falling |
| 15 | Türkiye | 10 1000 t | 2023 | up 150.0% | rising |
| 16 | Italy | 9 1000 t | 2023 | up 12.5% | rising |
| 16 | Austria | 9 1000 t | 2023 | down 10.0% | flat |
| 18 | Guinea | 8 1000 t | 2023 | up 14.3% | rising |
| 19 | Kazakhstan | 7 1000 t | 2023 | up 16.7% | rising |
| 19 | Sweden | 7 1000 t | 2023 | down 12.5% | falling |
| 19 | Australia | 7 1000 t | 2023 | down 12.5% | falling |
| 19 | Australia and New Zealand | 7 1000 t | 2023 | down 12.5% | falling |
| 23 | Thailand | 6 1000 t | 2023 | unchanged | rising |
| 24 | Romania | 5 1000 t | 2023 | down 28.6% | rising |
| 25 | Argentina | 3 1000 t | 2023 | up 200.0% | rising |
| 25 | Estonia | 3 1000 t | 2023 | up 50.0% | rising |
| 25 | Brazil | 3 1000 t | 2023 | unchanged | flat |
| 28 | Oman | 2 1000 t | 2023 | — | volatile |
| 28 | Finland | 2 1000 t | 2023 | down 33.3% | falling |
| 28 | Latvia | 2 1000 t | 2023 | down 75.0% | falling |
| 28 | Nigeria | 2 1000 t | 2023 | unchanged | flat |
| 28 | Portugal | 2 1000 t | 2023 | down 80.0% | falling |
| 28 | United Kingdom of Great Britain and Northern Ireland | 2 1000 t | 2023 | unchanged | flat |
| 34 | Republic of Moldova | 1 1000 t | 2023 | unchanged | falling |
| 34 | Switzerland | 1 1000 t | 2023 | down 50.0% | falling |
| 34 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 34 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | down 50.0% | falling |
| 34 | Denmark | 1 1000 t | 2023 | unchanged | falling |
| 34 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 34 | Armenia | 1 1000 t | 2023 | unchanged | falling |
| 34 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 34 | Burkina Faso | 1 1000 t | 2023 | unchanged | falling |
| 34 | Belgium | 1 1000 t | 2023 | down 83.3% | volatile |
| 34 | Slovakia | 1 1000 t | 2023 | unchanged | flat |
| 34 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 34 | Sierra Leone | 1 1000 t | 2023 | unchanged | flat |
| 34 | Morocco | 1 1000 t | 2023 | — | volatile |
| 34 | Tunisia | 1 1000 t | 2023 | — | volatile |
| 34 | Myanmar | 1 1000 t | 2023 | unchanged | flat |
| 34 | Croatia | 1 1000 t | 2018 | — | volatile |
| 51 | Colombia | 0 1000 t | 2023 | — | flat |
| 51 | Slovenia | 0 1000 t | 2018 | — | flat |
| 51 | Senegal | 0 1000 t | 2023 | — | flat |
| 51 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 51 | Uruguay | 0 1000 t | 2023 | — | flat |
| 51 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 51 | Bhutan | 0 1000 t | 2023 | — | flat |
| 51 | New Zealand | 0 1000 t | 2023 | — | flat |
| 51 | Niger | 0 1000 t | 2023 | — | flat |
| 51 | Malaysia | 0 1000 t | 2020 | — | flat |
| 51 | Mongolia | 0 1000 t | 2023 | — | flat |
| 51 | Ecuador | 0 1000 t | 2023 | — | flat |
| 51 | Mexico | 0 1000 t | 2023 | — | flat |
| 51 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 51 | Greece | 0 1000 t | 2023 | — | flat |
| 51 | Ireland | 0 1000 t | 2018 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,012 1000 t
- Europe 770 1000 t
- Eastern Europe 587 1000 t
- European Union (27) 534 1000 t
- Western Europe 107 1000 t
- Asia 105 1000 t
- Africa 101 1000 t
- Net Food Importing Developing Countries (NFIDCs) 100 1000 t
- Land Locked Developing Countries (LLDCs) 98 1000 t
- Least Developed Countries (LDCs) 97 1000 t
- Low Income Food Deficit Countries (LIFDCs) 97 1000 t
- Eastern Africa 78 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.