Rice and products — 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...
What the numbers show
Rice and products — Feed is currently reported for 172 countries. The highest value is 14,538 1000 t in India; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 3 1000 t, and the mean is 361.15 1000 t.
Over the past decade 49 countries rose and 43 fell. The largest increase was in Peru (up 41,900.0%), and the largest decrease in Afghanistan (down 100.0%).
Rice and products — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 14,538 1000 t | 2023 | up 491.5% | volatile |
| 2 | Bangladesh | 11,909 1000 t | 2023 | up 839.2% | volatile |
| 3 | China | 5,745 1000 t | 2023 | up 148.5% | volatile |
| 4 | China, mainland | 5,653 1000 t | 2023 | up 157.3% | volatile |
| 5 | Viet Nam | 4,338 1000 t | 2023 | down 25.5% | rising |
| 6 | Myanmar | 4,072 1000 t | 2023 | down 56.5% | falling |
| 7 | Indonesia | 1,909 1000 t | 2023 | up 16.9% | rising |
| 8 | Thailand | 1,610 1000 t | 2023 | down 55.3% | falling |
| 9 | Lao People's Democratic Republic | 1,293 1000 t | 2023 | up 32.9% | rising |
| 10 | Guinea | 1,061 1000 t | 2023 | up 48.4% | rising |
| 11 | Nepal | 1,058 1000 t | 2023 | up 34.3% | rising |
| 12 | Iran (Islamic Republic of) | 1,045 1000 t | 2023 | up 33.1% | flat |
| 13 | Senegal | 960 1000 t | 2023 | up 3,900.0% | volatile |
| 14 | Philippines | 658 1000 t | 2023 | down 16.8% | flat |
| 15 | Cambodia | 649 1000 t | 2023 | up 153.5% | rising |
| 16 | Belgium | 577 1000 t | 2023 | down 20.0% | falling |
| 17 | Djibouti | 528 1000 t | 2023 | — | volatile |
| 18 | Madagascar | 460 1000 t | 2023 | up 36.9% | falling |
| 19 | Peru | 420 1000 t | 2023 | up 41,900.0% | volatile |
| 20 | United Arab Emirates | 393 1000 t | 2023 | up 686.0% | volatile |
| 21 | Timor-Leste | 326 1000 t | 2023 | up 3,975.0% | volatile |
| 22 | Colombia | 242 1000 t | 2023 | up 83.3% | rising |
| 23 | Côte d'Ivoire | 205 1000 t | 2023 | down 10.1% | rising |
| 24 | Guyana | 203 1000 t | 2023 | up 34.4% | rising |
| 25 | France | 172 1000 t | 2023 | up 9.6% | falling |
| 26 | Burkina Faso | 162 1000 t | 2023 | up 95.2% | rising |
| 27 | Czechia | 133 1000 t | 2023 | up 411.5% | volatile |
| 27 | Democratic Republic of the Congo | 133 1000 t | 2023 | up 375.0% | volatile |
| 29 | Sri Lanka | 113 1000 t | 2023 | up 1,783.3% | volatile |
| 30 | Caribbean | 107 1000 t | 2023 | up 970.0% | volatile |
| 31 | Ghana | 105 1000 t | 2023 | up 191.7% | rising |
| 32 | Poland | 102 1000 t | 2023 | up 85.5% | rising |
| 33 | Chile | 95 1000 t | 2023 | — | volatile |
| 34 | Republic of Korea | 92 1000 t | 2023 | — | volatile |
| 35 | China, Taiwan Province of | 89 1000 t | 2023 | down 21.9% | falling |
| 36 | Switzerland | 81 1000 t | 2023 | down 45.6% | falling |
| 37 | Angola | 72 1000 t | 2023 | up 16.1% | rising |
| 37 | Dominican Republic | 72 1000 t | 2023 | — | volatile |
| 39 | Netherlands (Kingdom of the) | 67 1000 t | 2023 | down 59.1% | falling |
| 40 | United Republic of Tanzania | 63 1000 t | 2023 | up 200.0% | volatile |
| 41 | Democratic People's Republic of Korea | 60 1000 t | 2018 | down 64.1% | falling |
| 42 | Sierra Leone | 44 1000 t | 2023 | down 50.6% | falling |
| 43 | Italy | 40 1000 t | 2023 | up 135.3% | falling |
| 44 | Panama | 35 1000 t | 2023 | up 483.3% | volatile |
| 45 | Gambia | 29 1000 t | 2023 | up 61.1% | rising |
| 46 | Trinidad and Tobago | 23 1000 t | 2023 | up 475.0% | volatile |
| 47 | Ethiopia | 22 1000 t | 2023 | up 633.3% | volatile |
| 48 | Cameroon | 20 1000 t | 2023 | up 100.0% | volatile |
| 49 | Russian Federation | 19 1000 t | 2023 | — | volatile |
| 50 | Liberia | 18 1000 t | 2023 | down 18.2% | falling |
| 51 | Honduras | 17 1000 t | 2023 | up 750.0% | volatile |
| 52 | El Salvador | 16 1000 t | 2023 | — | volatile |
| 53 | Mauritius | 15 1000 t | 2023 | up 7.1% | rising |
| 53 | Melanesia | 15 1000 t | 2023 | up 200.0% | rising |
| 55 | Mozambique | 13 1000 t | 2023 | down 40.9% | falling |
| 56 | Guatemala | 12 1000 t | 2023 | — | volatile |
| 56 | Slovakia | 12 1000 t | 2023 | down 14.3% | rising |
| 58 | Kenya | 11 1000 t | 2023 | up 175.0% | volatile |
| 58 | Suriname | 11 1000 t | 2023 | up 10.0% | rising |
| 60 | Denmark | 10 1000 t | 2023 | up 233.3% | rising |
| 60 | Fiji | 10 1000 t | 2023 | up 150.0% | falling |
| 62 | Uzbekistan | 9 1000 t | 2023 | up 80.0% | volatile |
| 63 | Bhutan | 8 1000 t | 2023 | — | falling |
| 63 | Ukraine | 8 1000 t | 2023 | — | volatile |
| 65 | Greece | 7 1000 t | 2023 | down 12.5% | volatile |
| 65 | Mexico | 7 1000 t | 2023 | down 30.0% | falling |
| 65 | Portugal | 7 1000 t | 2023 | up 600.0% | volatile |
| 65 | Saudi Arabia | 7 1000 t | 2023 | up 16.7% | volatile |
| 65 | Bolivia (Plurinational State of) | 7 1000 t | 2023 | down 76.7% | falling |
| 70 | Kazakhstan | 6 1000 t | 2023 | down 84.6% | volatile |
| 70 | Lithuania | 6 1000 t | 2023 | — | volatile |
| 70 | United Kingdom of Great Britain and Northern Ireland | 6 1000 t | 2023 | down 40.0% | volatile |
| 73 | Bulgaria | 5 1000 t | 2023 | up 66.7% | volatile |
| 73 | Costa Rica | 5 1000 t | 2023 | up 66.7% | rising |
| 73 | Jamaica | 5 1000 t | 2023 | up 150.0% | rising |
| 73 | Niger | 5 1000 t | 2023 | down 85.7% | volatile |
| 73 | Norway | 5 1000 t | 2023 | up 150.0% | volatile |
| 78 | Hungary | 4 1000 t | 2023 | down 42.9% | falling |
| 78 | Libya | 4 1000 t | 2022 | down 50.0% | falling |
| 78 | Papua New Guinea | 4 1000 t | 2023 | — | volatile |
| 78 | China, Hong Kong SAR | 4 1000 t | 2023 | up 300.0% | rising |
| 82 | Brazil | 3 1000 t | 2023 | down 57.1% | volatile |
| 82 | Germany | 3 1000 t | 2023 | down 72.7% | volatile |
| 82 | Haiti | 3 1000 t | 2023 | down 25.0% | volatile |
| 82 | Lesotho | 3 1000 t | 2023 | down 40.0% | falling |
| 82 | Zambia | 3 1000 t | 2023 | down 40.0% | volatile |
| 82 | Zimbabwe | 3 1000 t | 2023 | down 57.1% | volatile |
| 88 | Bahrain | 2 1000 t | 2023 | — | volatile |
| 88 | Morocco | 2 1000 t | 2023 | — | volatile |
| 88 | North Macedonia | 2 1000 t | 2023 | — | falling |
| 88 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 88 | Turkmenistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 93 | Antigua and Barbuda | 1 1000 t | 2023 | — | volatile |
| 93 | Spain | 1 1000 t | 2023 | down 50.0% | volatile |
| 93 | Grenada | 1 1000 t | 2023 | unchanged | falling |
| 93 | Ireland | 1 1000 t | 2023 | down 83.3% | falling |
| 93 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 93 | Latvia | 1 1000 t | 2023 | — | volatile |
| 93 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 93 | Sweden | 1 1000 t | 2023 | unchanged | rising |
| 101 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Albania | 0 1000 t | 2023 | — | flat |
| 101 | Argentina | 0 1000 t | 2023 | — | flat |
| 101 | Armenia | 0 1000 t | 2023 | — | volatile |
| 101 | Australia | 0 1000 t | 2023 | — | volatile |
| 101 | Austria | 0 1000 t | 2023 | — | volatile |
| 101 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 101 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 101 | Belarus | 0 1000 t | 2023 | — | volatile |
| 101 | Belize | 0 1000 t | 2023 | — | volatile |
| 101 | Barbados | 0 1000 t | 2023 | — | flat |
| 101 | Botswana | 0 1000 t | 2023 | — | flat |
| 101 | Canada | 0 1000 t | 2023 | — | volatile |
| 101 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Comoros | 0 1000 t | 2023 | — | volatile |
| 101 | Cuba | 0 1000 t | 2019 | — | flat |
| 101 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Estonia | 0 1000 t | 2023 | — | flat |
| 101 | Finland | 0 1000 t | 2023 | — | flat |
| 101 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Georgia | 0 1000 t | 2023 | — | volatile |
| 101 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Croatia | 0 1000 t | 2023 | — | flat |
| 101 | Iraq | 0 1000 t | 2023 | — | volatile |
| 101 | Iceland | 0 1000 t | 2023 | — | flat |
| 101 | Israel | 0 1000 t | 2020 | — | flat |
| 101 | Jordan | 0 1000 t | 2023 | — | flat |
| 101 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 101 | Kiribati | 0 1000 t | 2022 | — | volatile |
| 101 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 101 | Lebanon | 0 1000 t | 2021 | down 100.0% | volatile |
| 101 | Saint Lucia | 0 1000 t | 2021 | — | flat |
| 101 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 101 | Malta | 0 1000 t | 2023 | — | flat |
| 101 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 101 | Malawi | 0 1000 t | 2023 | — | volatile |
| 101 | Malaysia | 0 1000 t | 2023 | — | flat |
| 101 | Namibia | 0 1000 t | 2023 | — | flat |
| 101 | Nigeria | 0 1000 t | 2023 | — | flat |
| 101 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 101 | New Zealand | 0 1000 t | 2023 | — | flat |
| 101 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Pakistan | 0 1000 t | 2023 | — | flat |
| 101 | Paraguay | 0 1000 t | 2023 | — | flat |
| 101 | French Polynesia | 0 1000 t | 2021 | — | flat |
| 101 | Romania | 0 1000 t | 2023 | — | volatile |
| 101 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 101 | Slovenia | 0 1000 t | 2023 | down 100.0% | falling |
| 101 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 101 | Seychelles | 0 1000 t | 2023 | — | flat |
| 101 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 101 | Tonga | 0 1000 t | 2023 | — | flat |
| 101 | Tunisia | 0 1000 t | 2023 | — | flat |
| 101 | Uganda | 0 1000 t | 2023 | — | flat |
| 101 | Uruguay | 0 1000 t | 2023 | — | flat |
| 101 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 101 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 101 | Samoa | 0 1000 t | 2023 | — | volatile |
| 101 | Yemen | 0 1000 t | 2023 | — | volatile |
| 101 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 101 | Cabo Verde | 0 1000 t | 2022 | — | flat |
| 101 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 101 | Republic of Moldova | 0 1000 t | 2021 | — | flat |
| 101 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 101 | Türkiye | 0 1000 t | 2023 | — | flat |
| 101 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 101 | 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 58,222 1000 t
- Asia 50,713 1000 t
- Southern Asia 28,671 1000 t
- Net Food Importing Developing Countries (NFIDCs) 24,125 1000 t
- Least Developed Countries (LDCs) 23,214 1000 t
- South-eastern Asia 14,854 1000 t
- Eastern Asia 6,768 1000 t
- Low Income Food Deficit Countries (LIFDCs) 4,405 1000 t
- Africa 4,265 1000 t
- Western Africa 2,904 1000 t
- Land Locked Developing Countries (LLDCs) 2,606 1000 t
- Americas 1,955 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.