Rape and Mustardseed — 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
Rape and Mustardseed — Food is currently reported for 135 countries. The highest value is 136 1000 t in Malaysia; the lowest is 0 1000 t in Russian Federation.
The median across all reporting countries is 1 1000 t, and the mean is 4.78 1000 t.
Over the past decade 34 countries rose and 25 fell. The largest increase was in Turkey (up 700.0%), and the largest decrease in Belgium (down 100.0%).
Rape and Mustardseed — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Malaysia | 136 1000 t | 2023 | — | volatile |
| 2 | Canada | 82 1000 t | 2023 | up 105.0% | rising |
| 3 | United States | 44 1000 t | 2023 | down 38.0% | falling |
| 4 | Republic of Korea | 23 1000 t | 2023 | up 27.8% | rising |
| 5 | Spain | 21 1000 t | 2023 | up 23.5% | volatile |
| 5 | France | 21 1000 t | 2023 | up 600.0% | volatile |
| 7 | Tajikistan | 17 1000 t | 2023 | — | volatile |
| 8 | Kenya | 15 1000 t | 2023 | — | volatile |
| 9 | United Kingdom | 14 1000 t | 2023 | up 16.7% | flat |
| 9 | United Kingdom of Great Britain and Northern Ireland | 14 1000 t | 2023 | up 16.7% | flat |
| 11 | Saudi Arabia | 12 1000 t | 2023 | up 200.0% | rising |
| 11 | Australia and New Zealand | 12 1000 t | 2023 | up 20.0% | rising |
| 13 | Poland | 10 1000 t | 2023 | — | volatile |
| 14 | Nepal | 8 1000 t | 2023 | up 33.3% | rising |
| 14 | Turkey | 8 1000 t | 2023 | up 700.0% | volatile |
| 14 | Türkiye | 8 1000 t | 2023 | up 700.0% | volatile |
| 17 | Australia | 7 1000 t | 2023 | up 16.7% | rising |
| 17 | China | 7 1000 t | 2023 | unchanged | flat |
| 17 | Romania | 7 1000 t | 2023 | up 133.3% | volatile |
| 20 | Honduras | 6 1000 t | 2023 | up 50.0% | rising |
| 21 | Chile | 5 1000 t | 2023 | up 150.0% | rising |
| 21 | Gabon | 5 1000 t | 2023 | up 66.7% | rising |
| 21 | Italy | 5 1000 t | 2023 | up 25.0% | rising |
| 21 | Mexico | 5 1000 t | 2023 | down 50.0% | falling |
| 21 | New Zealand | 5 1000 t | 2023 | up 66.7% | rising |
| 26 | United Arab Emirates | 4 1000 t | 2023 | up 33.3% | rising |
| 26 | El Salvador | 4 1000 t | 2023 | unchanged | flat |
| 26 | Tunisia | 4 1000 t | 2023 | up 33.3% | volatile |
| 26 | Caribbean | 4 1000 t | 2023 | up 100.0% | rising |
| 26 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | up 100.0% | volatile |
| 31 | Afghanistan | 3 1000 t | 2023 | — | volatile |
| 31 | Brazil | 3 1000 t | 2023 | unchanged | rising |
| 31 | Switzerland | 3 1000 t | 2023 | up 50.0% | rising |
| 31 | Ethiopia | 3 1000 t | 2023 | up 50.0% | rising |
| 31 | Gambia | 3 1000 t | 2023 | up 50.0% | rising |
| 31 | Ireland | 3 1000 t | 2023 | unchanged | falling |
| 31 | Jordan | 3 1000 t | 2023 | up 200.0% | volatile |
| 31 | Lebanon | 3 1000 t | 2023 | unchanged | rising |
| 31 | Nigeria | 3 1000 t | 2023 | — | volatile |
| 31 | Panama | 3 1000 t | 2023 | up 50.0% | rising |
| 31 | Portugal | 3 1000 t | 2023 | up 50.0% | rising |
| 31 | China, mainland | 3 1000 t | 2023 | up 200.0% | rising |
| 31 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | rising |
| 44 | Bulgaria | 2 1000 t | 2023 | unchanged | flat |
| 44 | Bosnia and Herzegovina | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Cote d'Ivoire | 2 1000 t | 2023 | unchanged | rising |
| 44 | Ecuador | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Egypt | 2 1000 t | 2023 | unchanged | volatile |
| 44 | Finland | 2 1000 t | 2023 | down 60.0% | volatile |
| 44 | Guyana | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Hungary | 2 1000 t | 2023 | unchanged | rising |
| 44 | Israel | 2 1000 t | 2023 | unchanged | rising |
| 44 | Kazakhstan | 2 1000 t | 2023 | down 33.3% | flat |
| 44 | Sri Lanka | 2 1000 t | 2023 | unchanged | flat |
| 44 | Lithuania | 2 1000 t | 2023 | unchanged | rising |
| 44 | Morocco | 2 1000 t | 2023 | unchanged | rising |
| 44 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 44 | Senegal | 2 1000 t | 2023 | unchanged | falling |
| 44 | Serbia | 2 1000 t | 2023 | — | volatile |
| 44 | Uruguay | 2 1000 t | 2023 | unchanged | rising |
| 44 | Vietnam | 2 1000 t | 2023 | down 83.3% | volatile |
| 44 | Viet Nam | 2 1000 t | 2023 | down 83.3% | volatile |
| 44 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | rising |
| 44 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | down 66.7% | volatile |
| 66 | Albania | 1 1000 t | 2023 | — | volatile |
| 66 | Austria | 1 1000 t | 2023 | — | volatile |
| 66 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 66 | Bahamas | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 66 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 66 | Congo | 1 1000 t | 2023 | — | volatile |
| 66 | Colombia | 1 1000 t | 2023 | unchanged | rising |
| 66 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 66 | Cyprus | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Germany | 1 1000 t | 2023 | down 95.7% | volatile |
| 66 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 66 | Denmark | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Estonia | 1 1000 t | 2023 | down 50.0% | rising |
| 66 | Georgia | 1 1000 t | 2023 | — | volatile |
| 66 | Guinea | 1 1000 t | 2023 | — | volatile |
| 66 | Greece | 1 1000 t | 2023 | down 80.0% | falling |
| 66 | Croatia | 1 1000 t | 2023 | unchanged | flat |
| 66 | Haiti | 1 1000 t | 2023 | — | volatile |
| 66 | Iraq | 1 1000 t | 2023 | — | volatile |
| 66 | Iceland | 1 1000 t | 2023 | unchanged | flat |
| 66 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 66 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Latvia | 1 1000 t | 2023 | — | volatile |
| 66 | Moldova | 1 1000 t | 2023 | unchanged | rising |
| 66 | Maldives | 1 1000 t | 2023 | — | volatile |
| 66 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 66 | Mongolia | 1 1000 t | 2023 | — | volatile |
| 66 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 66 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 66 | Nicaragua | 1 1000 t | 2023 | down 66.7% | falling |
| 66 | Peru | 1 1000 t | 2023 | unchanged | rising |
| 66 | Philippines | 1 1000 t | 2023 | — | volatile |
| 66 | Paraguay | 1 1000 t | 2023 | down 66.7% | falling |
| 66 | Qatar | 1 1000 t | 2023 | — | flat |
| 66 | Sweden | 1 1000 t | 2023 | down 75.0% | volatile |
| 66 | Thailand | 1 1000 t | 2023 | down 66.7% | volatile |
| 66 | South Africa | 1 1000 t | 2023 | — | volatile |
| 66 | Melanesia | 1 1000 t | 2023 | unchanged | falling |
| 66 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 66 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | rising |
| 66 | China, Hong Kong SAR | 1 1000 t | 2023 | down 66.7% | volatile |
| 66 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Republic of Moldova | 1 1000 t | 2023 | unchanged | rising |
| 111 | Argentina | 0 1000 t | 2023 | — | volatile |
| 111 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 111 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 111 | Belarus | 0 1000 t | 2023 | — | volatile |
| 111 | Botswana | 0 1000 t | 2023 | — | volatile |
| 111 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 111 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Ghana | 0 1000 t | 2023 | — | volatile |
| 111 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 111 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 111 | Libya | 0 1000 t | 2023 | — | volatile |
| 111 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 111 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 111 | Niger | 0 1000 t | 2023 | — | volatile |
| 111 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 111 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 111 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Slovakia | 0 1000 t | 2023 | down 100.0% | falling |
| 111 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 111 | Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 111 | Russian Federation | 0 1000 t | 2023 | 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 629 1000 t
- Asia 272 1000 t
- Americas 174 1000 t
- South-Eastern Asia 140 1000 t
- Northern America 126 1000 t
- Europe 117 1000 t
- European Union (27) 91 1000 t
- Net Food Importing Developing Countries (NFIDCs) 82 1000 t
- Low Income Food Deficit Countries (LIFDCs) 59 1000 t
- Eastern Asia 58 1000 t
- Africa 53 1000 t
- United States of America 44 1000 t
- Land Locked Developing Countries (LLDCs) 42 1000 t
- Western Asia 41 1000 t
- Southern Europe 38 1000 t
- Western Europe 28 1000 t
- Northern Europe 28 1000 t
- Least Developed Countries (LDCs) 25 1000 t
- South America 23 1000 t
- Eastern Europe 22 1000 t
- Central Asia 20 1000 t
- Eastern Africa 20 1000 t
- Central America 20 1000 t
- Western Africa 14 1000 t
- Southern Asia 14 1000 t
- Oceania 13 1000 t
- Small island developing States (SIDS) 9 1000 t
- Northern Africa 8 1000 t
- Middle Africa 8 1000 t
- Southern Africa 3 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.