Rape and Mustard Oil — Domestic supply 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
Rape and Mustard Oil — Domestic supply quantity is currently reported for 126 countries. The highest value is 6,670 1000 t in China; the lowest is -27 1000 t in Paraguay.
The median across all reporting countries is 7.5 1000 t, and the mean is 297.17 1000 t.
The gap between the highest and lowest reporting country is a factor of about 247.
Over the past decade 56 countries rose and 36 fell. The largest increase was in Philippines (up 2,400.0%), and the largest decrease in Serbia (down 533.3%).
Rape and Mustard Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 6,670 1000 t | 2023 | up 16.5% | flat |
| 2 | China, mainland | 6,603 1000 t | 2023 | up 16.5% | flat |
| 3 | United States | 3,755 1000 t | 2023 | up 104.2% | rising |
| 4 | India | 3,509 1000 t | 2023 | up 47.6% | rising |
| 5 | Germany | 3,299 1000 t | 2023 | up 52.2% | rising |
| 6 | Poland | 1,510 1000 t | 2023 | up 114.2% | rising |
| 7 | France | 1,402 1000 t | 2023 | down 22.6% | falling |
| 8 | Canada | 1,140 1000 t | 2023 | up 83.9% | rising |
| 9 | Belgium | 858 1000 t | 2023 | up 57.7% | rising |
| 10 | United Kingdom | 805 1000 t | 2023 | up 23.1% | rising |
| 10 | United Kingdom of Great Britain and Northern Ireland | 805 1000 t | 2023 | up 23.1% | rising |
| 12 | Mexico | 737 1000 t | 2023 | up 16.2% | rising |
| 13 | Pakistan | 600 1000 t | 2023 | up 99.3% | rising |
| 14 | Netherlands (Kingdom of the) | 561 1000 t | 2023 | up 31.7% | rising |
| 15 | Norway | 465 1000 t | 2023 | up 40.1% | rising |
| 16 | Australia and New Zealand | 457 1000 t | 2023 | up 81.3% | rising |
| 17 | Australia | 386 1000 t | 2023 | up 79.5% | rising |
| 18 | Sweden | 314 1000 t | 2023 | up 25.6% | rising |
| 19 | Bangladesh | 226 1000 t | 2023 | up 96.5% | rising |
| 20 | Spain | 202 1000 t | 2023 | up 242.4% | rising |
| 21 | Czechia | 198 1000 t | 2023 | up 10.6% | rising |
| 22 | Austria | 196 1000 t | 2023 | down 14.4% | falling |
| 23 | Denmark | 176 1000 t | 2023 | up 15.0% | rising |
| 24 | Chile | 170 1000 t | 2023 | up 82.8% | rising |
| 25 | Lithuania | 165 1000 t | 2023 | up 19.6% | rising |
| 26 | Republic of Korea | 152 1000 t | 2023 | up 55.1% | rising |
| 27 | Romania | 119 1000 t | 2023 | down 8.5% | rising |
| 28 | Iran (Islamic Republic of) | 117 1000 t | 2023 | up 46.2% | rising |
| 29 | Nepal | 114 1000 t | 2023 | up 48.1% | rising |
| 30 | Hungary | 103 1000 t | 2023 | up 329.2% | volatile |
| 30 | Russia | 103 1000 t | 2023 | up 836.4% | volatile |
| 30 | Russian Federation | 103 1000 t | 2023 | up 836.4% | volatile |
| 33 | Latvia | 101 1000 t | 2023 | up 6.3% | rising |
| 34 | Slovakia | 96 1000 t | 2023 | up 88.2% | rising |
| 35 | United Arab Emirates | 87 1000 t | 2023 | up 1,640.0% | volatile |
| 36 | Finland | 86 1000 t | 2023 | down 5.5% | falling |
| 37 | Turkey | 79 1000 t | 2023 | down 24.0% | volatile |
| 37 | Türkiye | 79 1000 t | 2023 | down 24.0% | volatile |
| 39 | Portugal | 74 1000 t | 2023 | down 34.5% | falling |
| 40 | Israel | 72 1000 t | 2023 | up 24.1% | rising |
| 41 | New Zealand | 71 1000 t | 2023 | up 91.9% | rising |
| 42 | South Africa | 70 1000 t | 2023 | up 94.4% | rising |
| 43 | Brazil | 67 1000 t | 2023 | up 116.1% | rising |
| 44 | Switzerland | 61 1000 t | 2023 | up 35.6% | rising |
| 45 | Italy | 49 1000 t | 2023 | down 67.8% | volatile |
| 46 | Greece | 45 1000 t | 2023 | up 150.0% | volatile |
| 47 | Bulgaria | 41 1000 t | 2023 | up 215.4% | volatile |
| 47 | Ireland | 41 1000 t | 2023 | up 64.0% | rising |
| 49 | China, Taiwan Province of | 33 1000 t | 2023 | up 57.1% | rising |
| 50 | China, Hong Kong SAR | 32 1000 t | 2023 | down 11.1% | flat |
| 51 | Kazakhstan | 29 1000 t | 2023 | up 20.8% | falling |
| 52 | Philippines | 25 1000 t | 2023 | up 2,400.0% | volatile |
| 53 | Estonia | 22 1000 t | 2023 | up 340.0% | rising |
| 54 | Belarus | 21 1000 t | 2023 | down 77.2% | falling |
| 54 | Malaysia | 21 1000 t | 2023 | up 40.0% | volatile |
| 56 | Algeria | 18 1000 t | 2023 | up 125.0% | rising |
| 57 | Uruguay | 12 1000 t | 2023 | up 20.0% | rising |
| 58 | Indonesia | 9 1000 t | 2023 | up 80.0% | rising |
| 58 | Tunisia | 9 1000 t | 2023 | — | volatile |
| 58 | Vietnam | 9 1000 t | 2023 | up 200.0% | volatile |
| 58 | Viet Nam | 9 1000 t | 2023 | up 200.0% | volatile |
| 62 | Myanmar | 8 1000 t | 2023 | down 33.3% | falling |
| 62 | Saudi Arabia | 8 1000 t | 2023 | up 166.7% | volatile |
| 64 | Ethiopia | 7 1000 t | 2023 | down 73.1% | volatile |
| 64 | Tajikistan | 7 1000 t | 2023 | — | volatile |
| 64 | Ukraine | 7 1000 t | 2023 | down 30.0% | volatile |
| 67 | Colombia | 5 1000 t | 2023 | down 61.5% | rising |
| 67 | Caribbean | 5 1000 t | 2023 | up 150.0% | volatile |
| 69 | Dominican Republic | 4 1000 t | 2023 | unchanged | rising |
| 70 | Argentina | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Croatia | 3 1000 t | 2023 | down 91.9% | volatile |
| 70 | Iceland | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Kenya | 3 1000 t | 2023 | — | volatile |
| 70 | Thailand | 3 1000 t | 2023 | — | volatile |
| 75 | Honduras | 2 1000 t | 2023 | unchanged | volatile |
| 75 | Mongolia | 2 1000 t | 2023 | up 100.0% | volatile |
| 75 | Qatar | 2 1000 t | 2023 | — | rising |
| 75 | China, Macao SAR | 2 1000 t | 2023 | down 50.0% | falling |
| 79 | Bahrain | 1 1000 t | 2023 | — | flat |
| 79 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 79 | Cyprus | 1 1000 t | 2023 | down 80.0% | volatile |
| 79 | Ecuador | 1 1000 t | 2023 | unchanged | falling |
| 79 | Egypt | 1 1000 t | 2023 | — | volatile |
| 79 | Fiji | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Guatemala | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Jordan | 1 1000 t | 2023 | — | volatile |
| 79 | Kuwait | 1 1000 t | 2023 | — | rising |
| 79 | Lebanon | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Morocco | 1 1000 t | 2023 | down 87.5% | volatile |
| 79 | Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 79 | Malta | 1 1000 t | 2023 | — | volatile |
| 79 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 79 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 79 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Panama | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | El Salvador | 1 1000 t | 2023 | unchanged | rising |
| 79 | Uzbekistan | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Melanesia | 1 1000 t | 2023 | down 50.0% | rising |
| 79 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 100 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 100 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 100 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 100 | Botswana | 0 1000 t | 2023 | — | volatile |
| 100 | Cuba | 0 1000 t | 2019 | — | volatile |
| 100 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 100 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 100 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Iraq | 0 1000 t | 2023 | — | volatile |
| 100 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 100 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 100 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 100 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 100 | Peru | 0 1000 t | 2023 | — | volatile |
| 100 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Syria | 0 1000 t | 2023 | — | volatile |
| 100 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 100 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 193 | Serbia | -13 1000 t | 2023 | down 533.3% | volatile |
| 194 | Paraguay | -27 1000 t | 2023 | down 280.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 30,195 1000 t
- Asia 12,635 1000 t
- Europe 11,116 1000 t
- European Union (27) 9,664 1000 t
- Eastern Asia 7,702 1000 t
- Western Europe 6,378 1000 t
- Americas 5,874 1000 t
- Northern America 4,895 1000 t
- Southern Asia 4,566 1000 t
- United States of America 3,755 1000 t
- Eastern Europe 2,199 1000 t
- Northern Europe 2,179 1000 t
- Net Food Importing Developing Countries (NFIDCs) 982 1000 t
- Central America 743 1000 t
- Oceania 458 1000 t
- Southern Europe 361 1000 t
- Least Developed Countries (LDCs) 356 1000 t
- Western Asia 253 1000 t
- South America 232 1000 t
- Land Locked Developing Countries (LLDCs) 135 1000 t
- Low Income Food Deficit Countries (LIFDCs) 133 1000 t
- Africa 112 1000 t
- South-Eastern Asia 76 1000 t
- Southern Africa 71 1000 t
- Central Asia 38 1000 t
- Northern Africa 29 1000 t
- Eastern Africa 11 1000 t
- Small island developing States (SIDS) 7 1000 t
- Western Africa 1 1000 t
- Middle Africa 0 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.