Rice and products — Other uses (non-food) 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 — Other uses (non-food) is currently reported for 91 countries. The highest value is 7,286 1000 t in China; the lowest is 0 1000 t in South Africa.
The median across all reporting countries is 1 1000 t, and the mean is 324.38 1000 t.
Over the past decade 21 countries rose and 38 fell. The largest increase was in Czechia (up 10,300.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Rice and products — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 7,286 1000 t | 2023 | up 1,339.9% | volatile |
| 2 | China, mainland | 7,272 1000 t | 2023 | up 1,354.4% | volatile |
| 3 | Thailand | 6,781 1000 t | 2023 | up 239.1% | volatile |
| 4 | Cambodia | 5,573 1000 t | 2023 | up 34.3% | rising |
| 5 | Nepal | 629 1000 t | 2023 | up 84.5% | rising |
| 6 | Peru | 588 1000 t | 2023 | down 33.2% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 242 1000 t | 2023 | down 16.3% | flat |
| 8 | Czechia | 208 1000 t | 2023 | up 10,300.0% | volatile |
| 9 | Philippines | 203 1000 t | 2023 | up 625.0% | volatile |
| 10 | Senegal | 127 1000 t | 2023 | up 33.7% | rising |
| 11 | Ghana | 114 1000 t | 2023 | — | volatile |
| 12 | Suriname | 57 1000 t | 2023 | up 46.2% | rising |
| 13 | Canada | 53 1000 t | 2022 | down 47.5% | falling |
| 14 | Sri Lanka | 52 1000 t | 2023 | down 1.9% | rising |
| 15 | Serbia | 34 1000 t | 2023 | — | volatile |
| 15 | Netherlands (Kingdom of the) | 34 1000 t | 2023 | down 55.3% | flat |
| 17 | Italy | 31 1000 t | 2023 | up 93.8% | rising |
| 18 | Nicaragua | 28 1000 t | 2023 | down 94.6% | volatile |
| 19 | Indonesia | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 20 | Sierra Leone | 22 1000 t | 2023 | down 58.5% | falling |
| 21 | France | 18 1000 t | 2023 | up 500.0% | volatile |
| 22 | Germany | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 23 | Libya | 11 1000 t | 2023 | down 8.3% | flat |
| 24 | Denmark | 10 1000 t | 2023 | up 25.0% | volatile |
| 24 | Myanmar | 10 1000 t | 2023 | — | volatile |
| 24 | China, Hong Kong SAR | 10 1000 t | 2023 | up 150.0% | rising |
| 27 | Kenya | 7 1000 t | 2023 | up 75.0% | volatile |
| 27 | Morocco | 7 1000 t | 2023 | up 250.0% | volatile |
| 27 | Poland | 7 1000 t | 2023 | down 12.5% | rising |
| 27 | Romania | 7 1000 t | 2022 | down 30.0% | volatile |
| 31 | Saudi Arabia | 6 1000 t | 2023 | down 73.9% | volatile |
| 32 | Spain | 5 1000 t | 2023 | down 81.5% | falling |
| 32 | Portugal | 5 1000 t | 2023 | down 28.6% | volatile |
| 34 | Belgium | 4 1000 t | 2023 | down 55.6% | volatile |
| 34 | China, Taiwan Province of | 4 1000 t | 2023 | up 100.0% | rising |
| 36 | Kazakhstan | 3 1000 t | 2023 | down 72.7% | volatile |
| 36 | Russian Federation | 3 1000 t | 2023 | up 200.0% | volatile |
| 38 | Austria | 2 1000 t | 2023 | unchanged | flat |
| 38 | Bangladesh | 2 1000 t | 2023 | down 100.0% | volatile |
| 38 | Switzerland | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Finland | 2 1000 t | 2023 | down 33.3% | falling |
| 38 | Ireland | 2 1000 t | 2023 | unchanged | rising |
| 38 | Malaysia | 2 1000 t | 2023 | down 98.8% | volatile |
| 45 | Argentina | 1 1000 t | 2023 | — | volatile |
| 45 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Mexico | 1 1000 t | 2023 | unchanged | volatile |
| 45 | North Macedonia | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Namibia | 1 1000 t | 2023 | down 50.0% | volatile |
| 45 | New Zealand | 1 1000 t | 2023 | — | volatile |
| 45 | Panama | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 45 | Sweden | 1 1000 t | 2023 | down 75.0% | volatile |
| 45 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 45 | Zambia | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Republic of Korea | 1 1000 t | 2023 | down 97.6% | falling |
| 45 | Australia and New Zealand | 1 1000 t | 2023 | down 99.5% | volatile |
| 58 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Australia | 0 1000 t | 2018 | down 100.0% | volatile |
| 58 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Bulgaria | 0 1000 t | 2022 | down 100.0% | volatile |
| 58 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 58 | Belize | 0 1000 t | 2023 | — | volatile |
| 58 | Brazil | 0 1000 t | 2020 | — | volatile |
| 58 | Chile | 0 1000 t | 2023 | — | volatile |
| 58 | Cameroon | 0 1000 t | 2022 | down 100.0% | volatile |
| 58 | Colombia | 0 1000 t | 2022 | down 100.0% | volatile |
| 58 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Egypt | 0 1000 t | 2022 | — | volatile |
| 58 | Estonia | 0 1000 t | 2023 | — | volatile |
| 58 | Greece | 0 1000 t | 2023 | — | volatile |
| 58 | Guatemala | 0 1000 t | 2015 | — | volatile |
| 58 | Croatia | 0 1000 t | 2022 | — | volatile |
| 58 | Hungary | 0 1000 t | 2023 | — | volatile |
| 58 | Israel | 0 1000 t | 2022 | down 100.0% | volatile |
| 58 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 58 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 58 | Malta | 0 1000 t | 2023 | — | volatile |
| 58 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 58 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Norway | 0 1000 t | 2015 | down 100.0% | volatile |
| 58 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 58 | Qatar | 0 1000 t | 2023 | — | volatile |
| 58 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Uganda | 0 1000 t | 2023 | — | volatile |
| 58 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 58 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | South Africa | 0 1000 t | 2021 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 23,956 1000 t
- Asia 20,801 1000 t
- South-Eastern Asia 12,595 1000 t
- Least Developed Countries (LDCs) 7,559 1000 t
- Net Food Importing Developing Countries (NFIDCs) 8,240 1000 t
- United Republic of Tanzania 221 1000 t
- Eastern Asia 7,506 1000 t
- Small island developing States (SIDS) 60 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,009 1000 t
- Middle Africa 5 1000 t
- Africa 1,508 1000 t
- Iran (Islamic Republic of) 3 1000 t
- Western Africa 1,254 1000 t
- Türkiye 2 1000 t
- Land Locked Developing Countries (LLDCs) 1,109 1000 t
- Syrian Arab Republic 1 1000 t
- Americas 1,021 1000 t
- Polynesia 0 1000 t
- Bolivia (Plurinational State of) 0 1000 t
- Southern Asia 687 1000 t
- South America 645 1000 t
- Europe 626 1000 t
- European Union (27) 343 1000 t
- Northern America 342 1000 t
- United States of America 342 1000 t
- Northern Europe 258 1000 t
- Eastern Africa 229 1000 t
- Eastern Europe 219 1000 t
- Southern Europe 75 1000 t
- Western Europe 74 1000 t
- Central America 31 1000 t
- Côte d'Ivoire 22 1000 t
- Northern Africa 18 1000 t
- Western Asia 10 1000 t
- Central Asia 3 1000 t
- Caribbean 2 1000 t
- Southern Africa 2 1000 t
- Oceania 1 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.