Rice and products — 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
Rice and products — Seed is currently reported for 106 countries. The highest value is 6,466 1000 t in China; the lowest is 0 1000 t in China, Hong Kong SAR.
The median across all reporting countries is 7 1000 t, and the mean is 236.42 1000 t.
Over the past decade 37 countries rose and 39 fell. The largest increase was in Guinea (up 976.7%), and the largest decrease in Comoros (down 100.0%).
Rice and products — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 6,466 1000 t | 2023 | down 1.3% | flat |
| 2 | China, mainland | 6,455 1000 t | 2023 | down 1.3% | flat |
| 3 | India | 3,359 1000 t | 2023 | up 9.9% | rising |
| 4 | Viet Nam | 1,490 1000 t | 2023 | up 12.8% | rising |
| 5 | Thailand | 1,365 1000 t | 2023 | up 31.8% | rising |
| 6 | Bangladesh | 1,345 1000 t | 2023 | up 13.8% | rising |
| 7 | Myanmar | 743 1000 t | 2023 | down 2.7% | falling |
| 8 | Guinea | 463 1000 t | 2023 | up 976.7% | volatile |
| 9 | Cambodia | 354 1000 t | 2023 | up 10.3% | rising |
| 10 | Pakistan | 334 1000 t | 2023 | up 33.1% | rising |
| 11 | Philippines | 271 1000 t | 2023 | up 16.3% | rising |
| 12 | Indonesia | 264 1000 t | 2023 | down 70.7% | falling |
| 13 | Nigeria | 231 1000 t | 2023 | up 344.2% | volatile |
| 14 | Lao People's Democratic Republic | 230 1000 t | 2023 | up 12.2% | rising |
| 15 | Brazil | 153 1000 t | 2023 | down 12.6% | falling |
| 16 | Madagascar | 141 1000 t | 2023 | up 41.0% | rising |
| 17 | Colombia | 125 1000 t | 2023 | up 20.2% | rising |
| 18 | Democratic Republic of the Congo | 100 1000 t | 2023 | up 132.6% | rising |
| 19 | Egypt | 92 1000 t | 2023 | up 26.0% | rising |
| 20 | Nepal | 82 1000 t | 2023 | up 7.9% | rising |
| 21 | Sierra Leone | 81 1000 t | 2023 | up 11.0% | rising |
| 22 | Sri Lanka | 79 1000 t | 2023 | down 13.2% | falling |
| 23 | Kazakhstan | 76 1000 t | 2023 | up 216.7% | rising |
| 24 | Democratic People's Republic of Korea | 71 1000 t | 2018 | down 6.6% | falling |
| 25 | United Republic of Tanzania | 64 1000 t | 2023 | up 25.5% | rising |
| 26 | Russian Federation | 46 1000 t | 2023 | down 17.9% | falling |
| 27 | Italy | 39 1000 t | 2023 | down 11.4% | falling |
| 28 | Uruguay | 38 1000 t | 2023 | up 58.3% | flat |
| 29 | Argentina | 33 1000 t | 2023 | down 23.3% | falling |
| 29 | Iran (Islamic Republic of) | 33 1000 t | 2023 | up 43.5% | rising |
| 31 | Peru | 31 1000 t | 2023 | up 6.9% | rising |
| 31 | Republic of Korea | 31 1000 t | 2023 | down 13.9% | falling |
| 34 | Senegal | 22 1000 t | 2023 | up 266.7% | volatile |
| 35 | Côte d'Ivoire | 21 1000 t | 2023 | down 4.5% | rising |
| 36 | Guyana | 20 1000 t | 2023 | down 31.0% | falling |
| 37 | Venezuela (Bolivarian Republic of) | 18 1000 t | 2023 | down 10.0% | falling |
| 38 | Malaysia | 17 1000 t | 2023 | down 15.0% | falling |
| 39 | Dominican Republic | 16 1000 t | 2023 | up 23.1% | rising |
| 39 | Türkiye | 16 1000 t | 2023 | unchanged | flat |
| 41 | Afghanistan | 14 1000 t | 2023 | down 36.4% | falling |
| 41 | Mozambique | 14 1000 t | 2023 | up 7.7% | flat |
| 43 | Bolivia (Plurinational State of) | 13 1000 t | 2023 | up 30.0% | rising |
| 44 | Burkina Faso | 12 1000 t | 2023 | up 140.0% | rising |
| 44 | Ghana | 12 1000 t | 2023 | down 14.3% | flat |
| 46 | Cameroon | 11 1000 t | 2023 | up 57.1% | rising |
| 46 | Spain | 11 1000 t | 2023 | down 45.0% | falling |
| 46 | Uganda | 11 1000 t | 2023 | up 120.0% | volatile |
| 46 | China, Taiwan Province of | 11 1000 t | 2023 | down 15.4% | falling |
| 50 | Liberia | 9 1000 t | 2023 | down 10.0% | falling |
| 51 | Ecuador | 8 1000 t | 2023 | up 33.3% | falling |
| 51 | Haiti | 8 1000 t | 2023 | unchanged | rising |
| 51 | Paraguay | 8 1000 t | 2023 | up 14.3% | rising |
| 54 | Mauritania | 7 1000 t | 2023 | up 75.0% | rising |
| 54 | Suriname | 7 1000 t | 2023 | down 12.5% | flat |
| 54 | Uzbekistan | 7 1000 t | 2023 | down 30.0% | flat |
| 57 | Australia | 6 1000 t | 2023 | down 45.5% | volatile |
| 57 | Mexico | 6 1000 t | 2023 | up 50.0% | rising |
| 57 | Turkmenistan | 6 1000 t | 2023 | down 40.0% | falling |
| 57 | Australia and New Zealand | 6 1000 t | 2023 | down 45.5% | volatile |
| 61 | Cuba | 5 1000 t | 2019 | down 50.0% | falling |
| 61 | Guinea-Bissau | 5 1000 t | 2023 | down 44.4% | falling |
| 63 | Gambia | 4 1000 t | 2023 | unchanged | falling |
| 63 | Panama | 4 1000 t | 2023 | down 33.3% | rising |
| 63 | Portugal | 4 1000 t | 2023 | unchanged | flat |
| 66 | Nicaragua | 3 1000 t | 2023 | down 76.9% | volatile |
| 66 | Zambia | 3 1000 t | 2023 | up 50.0% | flat |
| 68 | Angola | 2 1000 t | 2023 | unchanged | falling |
| 68 | Bulgaria | 2 1000 t | 2023 | unchanged | flat |
| 68 | Chile | 2 1000 t | 2023 | down 33.3% | falling |
| 68 | Costa Rica | 2 1000 t | 2023 | down 71.4% | falling |
| 68 | France | 2 1000 t | 2023 | down 33.3% | falling |
| 68 | Greece | 2 1000 t | 2023 | down 60.0% | falling |
| 68 | Guatemala | 2 1000 t | 2023 | up 100.0% | rising |
| 68 | Kenya | 2 1000 t | 2023 | up 100.0% | rising |
| 68 | Niger | 2 1000 t | 2023 | down 60.0% | falling |
| 68 | Rwanda | 2 1000 t | 2023 | up 100.0% | rising |
| 68 | Tajikistan | 2 1000 t | 2023 | up 100.0% | flat |
| 79 | Bhutan | 1 1000 t | 2023 | — | flat |
| 79 | Honduras | 1 1000 t | 2023 | unchanged | rising |
| 79 | Morocco | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 79 | Malawi | 1 1000 t | 2023 | unchanged | flat |
| 79 | Romania | 1 1000 t | 2023 | down 75.0% | falling |
| 79 | Timor-Leste | 1 1000 t | 2023 | unchanged | falling |
| 79 | Melanesia | 1 1000 t | 2023 | unchanged | volatile |
| 87 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 87 | Belize | 0 1000 t | 2023 | — | flat |
| 87 | Congo | 0 1000 t | 2023 | — | flat |
| 87 | Comoros | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Algeria | 0 1000 t | 2023 | — | flat |
| 87 | Fiji | 0 1000 t | 2023 | — | volatile |
| 87 | Gabon | 0 1000 t | 2023 | — | flat |
| 87 | Hungary | 0 1000 t | 2023 | — | volatile |
| 87 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Jamaica | 0 1000 t | 2019 | — | flat |
| 87 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 87 | Mauritius | 0 1000 t | 2019 | — | flat |
| 87 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 87 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 87 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 87 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 87 | Eswatini | 0 1000 t | 2023 | — | flat |
| 87 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 87 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 87 | China, Hong Kong 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 18,807 1000 t
- Asia 16,675 1000 t
- Eastern Asia 6,585 1000 t
- Southern Asia 5,247 1000 t
- South-Eastern Asia 4,735 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4,399 1000 t
- Least Developed Countries (LDCs) 3,801 1000 t
- Africa 1,394 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,198 1000 t
- Western Africa 922 1000 t
- Americas 622 1000 t
- Land Locked Developing Countries (LLDCs) 538 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.