Rice and products — Export quantity 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 — Export quantity is currently reported for 168 countries. The highest value is 26,530 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 2 1000 t, and the mean is 486.36 1000 t.
Over the past decade 46 countries rose and 48 fell. The largest increase was in China, Taiwan Province of (up 3,700.0%), and the largest decrease in Belarus (down 100.0%).
Rice and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 26,530 1000 t | 2023 | up 56.5% | rising |
| 2 | Thailand | 12,523 1000 t | 2023 | up 21.9% | falling |
| 3 | Viet Nam | 10,897 1000 t | 2023 | down 2.1% | falling |
| 4 | Pakistan | 6,441 1000 t | 2023 | up 18.1% | rising |
| 5 | Belgium | 4,111 1000 t | 2023 | up 167.3% | rising |
| 6 | China | 2,589 1000 t | 2023 | up 250.8% | volatile |
| 7 | Myanmar | 2,396 1000 t | 2023 | up 195.4% | volatile |
| 8 | China, mainland | 2,384 1000 t | 2023 | up 233.0% | volatile |
| 9 | Netherlands (Kingdom of the) | 1,823 1000 t | 2023 | up 209.0% | rising |
| 10 | Brazil | 1,615 1000 t | 2023 | up 33.3% | rising |
| 11 | Uruguay | 1,412 1000 t | 2023 | up 7.1% | flat |
| 12 | Paraguay | 1,255 1000 t | 2023 | up 132.0% | rising |
| 13 | Cambodia | 1,067 1000 t | 2023 | up 88.8% | rising |
| 14 | Italy | 1,011 1000 t | 2023 | down 5.8% | falling |
| 15 | Guyana | 606 1000 t | 2023 | up 81.4% | volatile |
| 16 | Türkiye | 429 1000 t | 2023 | up 2,964.3% | volatile |
| 17 | Argentina | 424 1000 t | 2023 | down 48.7% | falling |
| 18 | Australia and New Zealand | 396 1000 t | 2023 | down 45.9% | volatile |
| 19 | Australia | 395 1000 t | 2023 | down 46.0% | volatile |
| 20 | United Republic of Tanzania | 331 1000 t | 2023 | up 319.0% | volatile |
| 21 | Spain | 318 1000 t | 2023 | down 16.8% | flat |
| 22 | Malaysia | 237 1000 t | 2023 | up 393.8% | volatile |
| 23 | Canada | 212 1000 t | 2023 | up 2,550.0% | volatile |
| 24 | Kazakhstan | 200 1000 t | 2023 | up 146.9% | rising |
| 25 | China, Taiwan Province of | 190 1000 t | 2023 | up 3,700.0% | volatile |
| 26 | Germany | 162 1000 t | 2023 | down 7.4% | falling |
| 27 | Bulgaria | 152 1000 t | 2023 | up 149.2% | rising |
| 28 | Greece | 148 1000 t | 2023 | down 0.7% | falling |
| 29 | Portugal | 140 1000 t | 2023 | up 129.5% | rising |
| 30 | Senegal | 120 1000 t | 2023 | down 9.1% | flat |
| 31 | Russian Federation | 88 1000 t | 2023 | down 59.6% | falling |
| 32 | France | 86 1000 t | 2023 | down 38.6% | falling |
| 33 | Poland | 79 1000 t | 2023 | up 139.4% | rising |
| 34 | Republic of Korea | 64 1000 t | 2023 | up 3,100.0% | volatile |
| 35 | United Arab Emirates | 63 1000 t | 2023 | down 84.5% | volatile |
| 36 | United Kingdom of Great Britain and Northern Ireland | 58 1000 t | 2023 | down 45.8% | falling |
| 37 | Suriname | 57 1000 t | 2023 | down 40.6% | falling |
| 38 | Egypt | 53 1000 t | 2023 | down 89.2% | volatile |
| 39 | Lao People's Democratic Republic | 51 1000 t | 2023 | — | volatile |
| 40 | Romania | 50 1000 t | 2023 | up 56.2% | falling |
| 41 | Iran (Islamic Republic of) | 42 1000 t | 2023 | up 740.0% | volatile |
| 42 | Czechia | 40 1000 t | 2023 | up 48.1% | rising |
| 43 | Côte d'Ivoire | 37 1000 t | 2023 | down 43.9% | falling |
| 44 | Costa Rica | 32 1000 t | 2023 | up 300.0% | volatile |
| 45 | Lithuania | 28 1000 t | 2023 | up 366.7% | volatile |
| 46 | Mauritius | 27 1000 t | 2023 | up 800.0% | volatile |
| 47 | El Salvador | 21 1000 t | 2023 | up 50.0% | volatile |
| 48 | Slovenia | 19 1000 t | 2023 | up 375.0% | volatile |
| 49 | Sri Lanka | 16 1000 t | 2023 | unchanged | volatile |
| 49 | Peru | 16 1000 t | 2023 | down 62.8% | volatile |
| 51 | Bangladesh | 15 1000 t | 2023 | up 650.0% | volatile |
| 51 | China, Hong Kong SAR | 15 1000 t | 2023 | down 11.8% | flat |
| 51 | Republic of Moldova | 15 1000 t | 2023 | — | volatile |
| 54 | Slovakia | 12 1000 t | 2023 | up 140.0% | volatile |
| 55 | Austria | 11 1000 t | 2023 | up 83.3% | rising |
| 55 | Zambia | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 57 | Ecuador | 10 1000 t | 2023 | down 85.5% | volatile |
| 57 | North Macedonia | 10 1000 t | 2023 | down 23.1% | flat |
| 57 | Oman | 10 1000 t | 2023 | down 58.3% | volatile |
| 60 | Indonesia | 9 1000 t | 2023 | down 80.4% | falling |
| 60 | Venezuela (Bolivarian Republic of) | 9 1000 t | 2023 | — | volatile |
| 62 | Antigua and Barbuda | 8 1000 t | 2020 | — | volatile |
| 62 | Denmark | 8 1000 t | 2023 | unchanged | falling |
| 62 | Hungary | 8 1000 t | 2023 | up 166.7% | rising |
| 62 | Mexico | 8 1000 t | 2023 | up 300.0% | volatile |
| 66 | Lebanon | 7 1000 t | 2023 | up 600.0% | volatile |
| 66 | Nicaragua | 7 1000 t | 2023 | down 22.2% | falling |
| 66 | Samoa | 7 1000 t | 2021 | — | volatile |
| 69 | Honduras | 6 1000 t | 2023 | up 20.0% | rising |
| 69 | Israel | 6 1000 t | 2023 | — | volatile |
| 69 | Nigeria | 6 1000 t | 2023 | — | volatile |
| 72 | Ireland | 5 1000 t | 2023 | up 400.0% | volatile |
| 72 | Saudi Arabia | 5 1000 t | 2023 | down 68.8% | volatile |
| 74 | Finland | 4 1000 t | 2023 | up 100.0% | volatile |
| 74 | Fiji | 4 1000 t | 2023 | up 300.0% | volatile |
| 74 | Mozambique | 4 1000 t | 2023 | — | volatile |
| 74 | Melanesia | 4 1000 t | 2023 | up 100.0% | volatile |
| 78 | Burkina Faso | 3 1000 t | 2023 | down 25.0% | volatile |
| 78 | Latvia | 3 1000 t | 2023 | unchanged | rising |
| 78 | Sweden | 3 1000 t | 2023 | unchanged | rising |
| 78 | Uganda | 3 1000 t | 2023 | down 97.2% | volatile |
| 82 | Switzerland | 2 1000 t | 2023 | up 100.0% | rising |
| 82 | Chile | 2 1000 t | 2023 | — | volatile |
| 82 | Cameroon | 2 1000 t | 2023 | up 100.0% | volatile |
| 82 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 82 | Kenya | 2 1000 t | 2023 | down 33.3% | volatile |
| 82 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 82 | Caribbean | 2 1000 t | 2023 | down 50.0% | volatile |
| 82 | Democratic People's Republic of Korea | 2 1000 t | 2018 | — | volatile |
| 90 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 90 | Botswana | 1 1000 t | 2023 | down 93.3% | volatile |
| 90 | Colombia | 1 1000 t | 2023 | — | volatile |
| 90 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 90 | Estonia | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Ghana | 1 1000 t | 2023 | — | volatile |
| 90 | Guatemala | 1 1000 t | 2023 | down 50.0% | volatile |
| 90 | Croatia | 1 1000 t | 2023 | — | volatile |
| 90 | Jordan | 1 1000 t | 2023 | down 50.0% | falling |
| 90 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Malawi | 1 1000 t | 2023 | down 66.7% | volatile |
| 90 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Norway | 1 1000 t | 2023 | — | volatile |
| 90 | New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 90 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 106 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 106 | Angola | 0 1000 t | 2023 | — | volatile |
| 106 | Albania | 0 1000 t | 2023 | — | flat |
| 106 | Armenia | 0 1000 t | 2023 | — | flat |
| 106 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 106 | Bahamas | 0 1000 t | 2023 | — | flat |
| 106 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 106 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Belize | 0 1000 t | 2022 | down 100.0% | volatile |
| 106 | Barbados | 0 1000 t | 2023 | — | flat |
| 106 | Bhutan | 0 1000 t | 2023 | — | flat |
| 106 | Congo | 0 1000 t | 2023 | — | volatile |
| 106 | Cyprus | 0 1000 t | 2023 | — | flat |
| 106 | Algeria | 0 1000 t | 2023 | — | volatile |
| 106 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 106 | Gabon | 0 1000 t | 2023 | — | volatile |
| 106 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Guinea | 0 1000 t | 2023 | — | volatile |
| 106 | Gambia | 0 1000 t | 2023 | — | volatile |
| 106 | Guinea-Bissau | 0 1000 t | 2022 | — | flat |
| 106 | Grenada | 0 1000 t | 2023 | — | flat |
| 106 | Haiti | 0 1000 t | 2023 | — | volatile |
| 106 | Iraq | 0 1000 t | 2023 | — | flat |
| 106 | Iceland | 0 1000 t | 2023 | — | flat |
| 106 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Saint Kitts and Nevis | 0 1000 t | 2019 | — | flat |
| 106 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Liberia | 0 1000 t | 2021 | — | volatile |
| 106 | Libya | 0 1000 t | 2023 | — | volatile |
| 106 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 106 | Lesotho | 0 1000 t | 2022 | — | flat |
| 106 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 106 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Malta | 0 1000 t | 2023 | — | flat |
| 106 | Montenegro | 0 1000 t | 2023 | — | flat |
| 106 | Mongolia | 0 1000 t | 2022 | — | flat |
| 106 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 106 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Nepal | 0 1000 t | 2023 | — | volatile |
| 106 | Panama | 0 1000 t | 2023 | — | volatile |
| 106 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Papua New Guinea | 0 1000 t | 2021 | — | flat |
| 106 | French Polynesia | 0 1000 t | 2018 | — | flat |
| 106 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 106 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 106 | Eswatini | 0 1000 t | 2023 | — | flat |
| 106 | Seychelles | 0 1000 t | 2023 | — | flat |
| 106 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 106 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 106 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Timor-Leste | 0 1000 t | 2018 | — | flat |
| 106 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 106 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 106 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 106 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 106 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 82,386 1000 t
- Asia 63,677 1000 t
- Southern Asia 33,044 1000 t
- South-eastern Asia 27,179 1000 t
- Net Food Importing Developing Countries (NFIDCs) 10,655 1000 t
- Americas 9,041 1000 t
- Europe 8,399 1000 t
- European Union (27) 8,223 1000 t
- Western Europe 6,194 1000 t
- South America 5,408 1000 t
- Least Developed Countries (LDCs) 4,023 1000 t
- Northern America 3,557 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.