Rape and Mustard Oil — Protein supply quantity (t) 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 Mustard Oil — Protein supply quantity (t) is currently reported for 133 countries. The highest value is 624.51 t in China (People’s Republic of); the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0 t, and the mean is 21.06 t.
Over the past decade 12 countries rose and 10 fell. The largest increase was in Mexico (up 1,713.1%), and the largest decrease in Czechia (down 100.0%).
Rape and Mustard Oil — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China (People’s Republic of) | 624.51 t | 2023 | up 257.5% | volatile |
| 1 | China, mainland | 624.51 t | 2023 | up 257.5% | volatile |
| 3 | Mexico | 352.1 t | 2023 | up 1,713.1% | volatile |
| 4 | Pakistan | 247.79 t | 2023 | down 13.1% | volatile |
| 5 | Norway | 170.85 t | 2023 | up 86.7% | rising |
| 6 | Belgium | 152.43 t | 2023 | up 39.2% | rising |
| 7 | United Kingdom of Great Britain and Northern Ireland | 148.17 t | 2023 | down 29.1% | volatile |
| 8 | Australia | 97.74 t | 2023 | up 313.6% | volatile |
| 8 | Australia and New Zealand | 97.74 t | 2023 | up 313.6% | volatile |
| 10 | Poland | 95.7 t | 2023 | up 39.1% | flat |
| 11 | Germany | 63.4 t | 2023 | up 22.0% | rising |
| 12 | Sweden | 57.46 t | 2023 | up 87.8% | falling |
| 13 | Slovak Republic | 35.81 t | 2023 | down 25.6% | flat |
| 14 | India | 28.73 t | 2023 | down 57.4% | falling |
| 15 | Ireland | 2.74 t | 2023 | down 55.2% | falling |
| 16 | Slovenia | 0.62 t | 2023 | down 36.1% | falling |
| 17 | Ethiopia | 0.14 t | 2023 | up 250.0% | volatile |
| 18 | Philippines | 0.06 t | 2023 | up 500.0% | volatile |
| 19 | Cambodia | 0.01 t | 2023 | — | volatile |
| 20 | Afghanistan | 0 t | 2023 | — | volatile |
| 20 | Angola | 0 t | 2023 | — | flat |
| 20 | Albania | 0 t | 2023 | — | flat |
| 20 | United Arab Emirates | 0 t | 2023 | — | flat |
| 20 | Argentina | 0 t | 2023 | — | flat |
| 20 | Armenia | 0 t | 2023 | — | flat |
| 20 | Antigua and Barbuda | 0 t | 2023 | — | flat |
| 20 | Austria | 0 t | 2023 | — | flat |
| 20 | Azerbaijan | 0 t | 2023 | — | flat |
| 20 | Burkina Faso | 0 t | 2023 | — | flat |
| 20 | Bangladesh | 0 t | 2023 | — | flat |
| 20 | Bahrain | 0 t | 2023 | — | flat |
| 20 | Belarus | 0 t | 2023 | — | flat |
| 20 | Bhutan | 0 t | 2023 | — | flat |
| 20 | Botswana | 0 t | 2023 | — | flat |
| 20 | Canada | 0 t | 2023 | — | flat |
| 20 | Switzerland | 0 t | 2023 | — | flat |
| 20 | Chile | 0 t | 2023 | — | flat |
| 20 | Cameroon | 0 t | 2023 | — | flat |
| 20 | Congo | 0 t | 2023 | — | flat |
| 20 | Colombia | 0 t | 2023 | — | flat |
| 20 | Comoros | 0 t | 2023 | — | flat |
| 20 | Cyprus | 0 t | 2023 | — | flat |
| 20 | Czechia | 0 t | 2023 | down 100.0% | falling |
| 20 | Djibouti | 0 t | 2023 | — | flat |
| 20 | Denmark | 0 t | 2023 | — | flat |
| 20 | Dominican Republic | 0 t | 2023 | — | flat |
| 20 | Algeria | 0 t | 2023 | — | flat |
| 20 | Ecuador | 0 t | 2023 | — | flat |
| 20 | Spain | 0 t | 2023 | — | flat |
| 20 | Estonia | 0 t | 2023 | — | flat |
| 20 | Finland | 0 t | 2023 | down 100.0% | volatile |
| 20 | Fiji | 0 t | 2023 | — | flat |
| 20 | France | 0 t | 2023 | — | flat |
| 20 | Gabon | 0 t | 2023 | — | flat |
| 20 | Georgia | 0 t | 2023 | — | flat |
| 20 | Ghana | 0 t | 2023 | — | flat |
| 20 | Guinea | 0 t | 2023 | — | flat |
| 20 | Gambia | 0 t | 2023 | — | flat |
| 20 | Guinea-Bissau | 0 t | 2023 | — | flat |
| 20 | Grenada | 0 t | 2023 | — | flat |
| 20 | Guatemala | 0 t | 2023 | — | flat |
| 20 | Haiti | 0 t | 2023 | — | flat |
| 20 | Hungary | 0 t | 2023 | — | flat |
| 20 | Indonesia | 0 t | 2023 | — | flat |
| 20 | Iraq | 0 t | 2023 | — | flat |
| 20 | Israel | 0 t | 2023 | — | flat |
| 20 | Italy | 0 t | 2023 | down 100.0% | volatile |
| 20 | Jordan | 0 t | 2023 | — | flat |
| 20 | Kazakhstan | 0 t | 2023 | — | flat |
| 20 | Kenya | 0 t | 2023 | — | flat |
| 20 | Kyrgyzstan | 0 t | 2023 | — | flat |
| 20 | Kiribati | 0 t | 2023 | — | flat |
| 20 | Lebanon | 0 t | 2023 | — | flat |
| 20 | Liberia | 0 t | 2023 | — | flat |
| 20 | Libya | 0 t | 2023 | — | flat |
| 20 | Saint Lucia | 0 t | 2023 | — | flat |
| 20 | Sri Lanka | 0 t | 2023 | — | flat |
| 20 | Lesotho | 0 t | 2023 | — | flat |
| 20 | Luxembourg | 0 t | 2023 | — | flat |
| 20 | Latvia | 0 t | 2023 | — | flat |
| 20 | Morocco | 0 t | 2023 | — | flat |
| 20 | Madagascar | 0 t | 2023 | — | flat |
| 20 | Maldives | 0 t | 2023 | — | flat |
| 20 | Marshall Islands | 0 t | 2023 | — | flat |
| 20 | Malta | 0 t | 2023 | — | flat |
| 20 | Myanmar | 0 t | 2023 | — | volatile |
| 20 | Montenegro | 0 t | 2023 | — | flat |
| 20 | Mongolia | 0 t | 2023 | — | flat |
| 20 | Mozambique | 0 t | 2023 | — | flat |
| 20 | Mauritania | 0 t | 2023 | — | flat |
| 20 | Mauritius | 0 t | 2023 | — | flat |
| 20 | Malawi | 0 t | 2023 | — | flat |
| 20 | Malaysia | 0 t | 2023 | — | flat |
| 20 | New Caledonia | 0 t | 2023 | — | flat |
| 20 | Niger | 0 t | 2023 | — | flat |
| 20 | Nigeria | 0 t | 2023 | — | flat |
| 20 | Nepal | 0 t | 2023 | — | flat |
| 20 | Nauru | 0 t | 2023 | — | flat |
| 20 | New Zealand | 0 t | 2023 | — | flat |
| 20 | Oman | 0 t | 2023 | — | flat |
| 20 | Panama | 0 t | 2023 | — | flat |
| 20 | Peru | 0 t | 2023 | — | flat |
| 20 | Papua New Guinea | 0 t | 2023 | — | flat |
| 20 | French Polynesia | 0 t | 2023 | — | flat |
| 20 | Qatar | 0 t | 2023 | — | flat |
| 20 | Rwanda | 0 t | 2023 | — | flat |
| 20 | Saudi Arabia | 0 t | 2023 | — | flat |
| 20 | Senegal | 0 t | 2023 | — | flat |
| 20 | Solomon Islands | 0 t | 2023 | — | flat |
| 20 | Sierra Leone | 0 t | 2023 | — | flat |
| 20 | El Salvador | 0 t | 2023 | — | flat |
| 20 | Sao Tome and Principe | 0 t | 2023 | — | flat |
| 20 | Eswatini | 0 t | 2023 | — | flat |
| 20 | Seychelles | 0 t | 2023 | — | flat |
| 20 | Tajikistan | 0 t | 2023 | — | flat |
| 20 | Turkmenistan | 0 t | 2023 | — | flat |
| 20 | Tonga | 0 t | 2023 | — | flat |
| 20 | Trinidad and Tobago | 0 t | 2023 | — | flat |
| 20 | Tunisia | 0 t | 2023 | — | flat |
| 20 | Tuvalu | 0 t | 2023 | — | flat |
| 20 | Uganda | 0 t | 2023 | — | flat |
| 20 | Ukraine | 0 t | 2023 | — | flat |
| 20 | Uruguay | 0 t | 2023 | — | flat |
| 20 | Uzbekistan | 0 t | 2023 | — | flat |
| 20 | Vanuatu | 0 t | 2023 | — | flat |
| 20 | Samoa | 0 t | 2023 | — | flat |
| 20 | Yemen | 0 t | 2023 | down 100.0% | volatile |
| 20 | Zambia | 0 t | 2023 | — | flat |
| 20 | Zimbabwe | 0 t | 2023 | — | flat |
| 20 | China, Hong Kong SAR | 0 t | 2023 | — | flat |
| 20 | Republic of Korea | 0 t | 2023 | — | flat |
| 20 | Russian Federation | 0 t | 2023 | — | flat |
| 20 | China, Macao SAR | 0 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 2,320 t
- Americas 594.32 t
- European Union (27) 408.15 t
- Northern Europe 379.21 t
- Net Food Importing Developing Countries (NFIDCs) 247.95 t
- Northern America 242.21 t
- United States of America 242.21 t
- Western Europe 215.83 t
- Low Income Food Deficit Countries (LIFDCs) 0.15 t
- Land Locked Developing Countries (LLDCs) 0.14 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.