Rape and Mustardseed — 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 Mustardseed — Domestic supply quantity is currently reported for 181 countries. The highest value is 22,032 1000 t in China; the lowest is -292 1000 t in Romania.
The median across all reporting countries is 1 1000 t, and the mean is 619 1000 t.
The gap between the highest and lowest reporting country is a factor of about 75.
Over the past decade 51 countries rose and 33 fell. The largest increase was in Malaysia (up 1,633.3%), and the largest decrease in Republic of Moldova (down 800.0%).
Rape and Mustardseed — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 22,032 1000 t | 2023 | up 21.6% | rising |
| 2 | China, mainland | 22,028 1000 t | 2023 | up 21.6% | rising |
| 3 | India | 11,901 1000 t | 2023 | up 52.2% | rising |
| 4 | Canada | 11,341 1000 t | 2023 | up 49.1% | rising |
| 5 | Germany | 10,262 1000 t | 2023 | up 21.6% | rising |
| 6 | France | 4,753 1000 t | 2023 | down 4.6% | falling |
| 6 | Russian Federation | 4,753 1000 t | 2023 | up 260.3% | volatile |
| 8 | Poland | 3,748 1000 t | 2023 | up 50.3% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 1,950 1000 t | 2023 | up 3.3% | flat |
| 10 | Pakistan | 1,883 1000 t | 2023 | up 144.2% | rising |
| 11 | Belgium | 1,644 1000 t | 2023 | down 0.8% | falling |
| 12 | Australia and New Zealand | 1,522 1000 t | 2023 | up 67.3% | rising |
| 13 | Australia | 1,510 1000 t | 2023 | up 66.7% | rising |
| 14 | Mexico | 1,436 1000 t | 2023 | down 6.4% | falling |
| 15 | Czechia | 1,306 1000 t | 2023 | up 21.5% | rising |
| 16 | Ukraine | 1,160 1000 t | 2023 | up 540.9% | volatile |
| 17 | United Arab Emirates | 1,088 1000 t | 2023 | up 66.6% | rising |
| 18 | Belarus | 899 1000 t | 2023 | up 32.4% | rising |
| 19 | Denmark | 812 1000 t | 2023 | up 30.5% | rising |
| 20 | Bangladesh | 803 1000 t | 2023 | up 143.3% | rising |
| 21 | Sweden | 429 1000 t | 2023 | up 37.5% | rising |
| 22 | Austria | 365 1000 t | 2023 | down 0.3% | falling |
| 23 | Hungary | 345 1000 t | 2023 | up 182.8% | volatile |
| 24 | Nepal | 330 1000 t | 2023 | up 50.7% | rising |
| 25 | Iran (Islamic Republic of) | 309 1000 t | 2023 | up 60.9% | rising |
| 26 | Lithuania | 302 1000 t | 2023 | up 25.3% | rising |
| 27 | Slovakia | 284 1000 t | 2023 | up 83.2% | rising |
| 28 | Spain | 281 1000 t | 2023 | up 146.5% | rising |
| 29 | Uruguay | 259 1000 t | 2023 | up 600.0% | volatile |
| 30 | Malaysia | 208 1000 t | 2023 | up 1,633.3% | volatile |
| 31 | Kazakhstan | 206 1000 t | 2023 | up 62.2% | rising |
| 32 | Türkiye | 205 1000 t | 2023 | down 35.7% | falling |
| 33 | Bulgaria | 198 1000 t | 2023 | up 182.9% | volatile |
| 34 | Estonia | 177 1000 t | 2023 | up 37.2% | rising |
| 35 | Finland | 173 1000 t | 2023 | down 21.0% | falling |
| 36 | Brazil | 172 1000 t | 2023 | up 177.4% | rising |
| 37 | Greece | 166 1000 t | 2023 | up 361.1% | volatile |
| 38 | Portugal | 151 1000 t | 2023 | down 1.9% | falling |
| 39 | Latvia | 137 1000 t | 2023 | up 13.2% | rising |
| 40 | Chile | 115 1000 t | 2023 | down 26.3% | rising |
| 41 | Italy | 98 1000 t | 2023 | up 8.9% | falling |
| 42 | Switzerland | 89 1000 t | 2023 | up 8.5% | rising |
| 43 | Ireland | 69 1000 t | 2023 | up 81.6% | rising |
| 44 | Paraguay | 65 1000 t | 2023 | down 21.7% | falling |
| 45 | Netherlands (Kingdom of the) | 42 1000 t | 2023 | down 95.9% | volatile |
| 46 | Myanmar | 36 1000 t | 2023 | down 29.4% | falling |
| 47 | Croatia | 34 1000 t | 2023 | up 36.0% | rising |
| 48 | Republic of Korea | 29 1000 t | 2023 | down 59.2% | falling |
| 49 | Algeria | 25 1000 t | 2023 | down 10.7% | falling |
| 49 | Ethiopia | 25 1000 t | 2023 | down 60.9% | falling |
| 51 | Argentina | 18 1000 t | 2023 | down 14.3% | falling |
| 52 | Tajikistan | 17 1000 t | 2023 | — | volatile |
| 53 | Bosnia and Herzegovina | 16 1000 t | 2023 | up 45.5% | falling |
| 54 | Kenya | 15 1000 t | 2023 | — | volatile |
| 55 | Saudi Arabia | 13 1000 t | 2023 | up 225.0% | volatile |
| 56 | New Zealand | 12 1000 t | 2023 | up 140.0% | rising |
| 56 | Côte d'Ivoire | 12 1000 t | 2023 | up 500.0% | volatile |
| 58 | Norway | 10 1000 t | 2023 | down 33.3% | falling |
| 59 | Mongolia | 9 1000 t | 2023 | down 60.9% | volatile |
| 60 | Tunisia | 7 1000 t | 2023 | up 75.0% | rising |
| 61 | Honduras | 6 1000 t | 2023 | up 50.0% | rising |
| 62 | Gabon | 5 1000 t | 2023 | up 66.7% | rising |
| 63 | Morocco | 4 1000 t | 2023 | up 33.3% | rising |
| 63 | El Salvador | 4 1000 t | 2023 | down 20.0% | flat |
| 63 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | up 100.0% | volatile |
| 66 | Afghanistan | 3 1000 t | 2023 | — | volatile |
| 66 | Gambia | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Israel | 3 1000 t | 2023 | down 94.3% | volatile |
| 66 | Jordan | 3 1000 t | 2023 | up 200.0% | volatile |
| 66 | Lebanon | 3 1000 t | 2023 | unchanged | rising |
| 66 | Panama | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | falling |
| 73 | Ecuador | 2 1000 t | 2023 | up 100.0% | rising |
| 73 | Egypt | 2 1000 t | 2023 | unchanged | volatile |
| 73 | Guyana | 2 1000 t | 2023 | up 100.0% | rising |
| 73 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 73 | Sri Lanka | 2 1000 t | 2023 | unchanged | flat |
| 73 | Luxembourg | 2 1000 t | 2023 | down 50.0% | volatile |
| 73 | North Macedonia | 2 1000 t | 2023 | unchanged | rising |
| 73 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 73 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 73 | Uzbekistan | 2 1000 t | 2023 | unchanged | rising |
| 73 | Caribbean | 2 1000 t | 2023 | unchanged | rising |
| 73 | Viet Nam | 2 1000 t | 2023 | down 92.3% | volatile |
| 85 | Albania | 1 1000 t | 2023 | — | volatile |
| 85 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 85 | Bahamas | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 85 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 85 | Congo | 1 1000 t | 2023 | — | volatile |
| 85 | Colombia | 1 1000 t | 2023 | unchanged | rising |
| 85 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 85 | Cyprus | 1 1000 t | 2023 | unchanged | rising |
| 85 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 85 | Georgia | 1 1000 t | 2023 | — | volatile |
| 85 | Guinea | 1 1000 t | 2023 | — | volatile |
| 85 | Haiti | 1 1000 t | 2023 | — | volatile |
| 85 | Indonesia | 1 1000 t | 2023 | unchanged | rising |
| 85 | Iraq | 1 1000 t | 2023 | — | volatile |
| 85 | Iceland | 1 1000 t | 2023 | unchanged | flat |
| 85 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 85 | Maldives | 1 1000 t | 2023 | — | volatile |
| 85 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 85 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 85 | Nicaragua | 1 1000 t | 2023 | down 66.7% | falling |
| 85 | Peru | 1 1000 t | 2023 | unchanged | rising |
| 85 | Philippines | 1 1000 t | 2023 | — | volatile |
| 85 | Qatar | 1 1000 t | 2023 | — | flat |
| 85 | Slovenia | 1 1000 t | 2023 | down 83.3% | volatile |
| 85 | Thailand | 1 1000 t | 2023 | down 66.7% | volatile |
| 85 | Melanesia | 1 1000 t | 2023 | unchanged | falling |
| 85 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 85 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | rising |
| 85 | China, Hong Kong SAR | 1 1000 t | 2023 | down 66.7% | volatile |
| 116 | Angola | 0 1000 t | 2023 | — | flat |
| 116 | Armenia | 0 1000 t | 2023 | — | flat |
| 116 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 116 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 116 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 116 | Belize | 0 1000 t | 2023 | — | flat |
| 116 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 116 | Botswana | 0 1000 t | 2023 | — | volatile |
| 116 | Comoros | 0 1000 t | 2023 | — | flat |
| 116 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 116 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 116 | Fiji | 0 1000 t | 2023 | — | flat |
| 116 | Ghana | 0 1000 t | 2023 | — | volatile |
| 116 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 116 | Grenada | 0 1000 t | 2023 | — | flat |
| 116 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 116 | Cambodia | 0 1000 t | 2023 | — | flat |
| 116 | Kiribati | 0 1000 t | 2023 | — | flat |
| 116 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 116 | Liberia | 0 1000 t | 2023 | — | flat |
| 116 | Libya | 0 1000 t | 2023 | — | volatile |
| 116 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 116 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 116 | Madagascar | 0 1000 t | 2023 | — | flat |
| 116 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 116 | Malta | 0 1000 t | 2023 | — | flat |
| 116 | Montenegro | 0 1000 t | 2023 | — | flat |
| 116 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 116 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 116 | Malawi | 0 1000 t | 2023 | — | flat |
| 116 | Niger | 0 1000 t | 2023 | — | volatile |
| 116 | Nauru | 0 1000 t | 2023 | — | flat |
| 116 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 116 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 116 | Rwanda | 0 1000 t | 2023 | — | flat |
| 116 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 116 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 116 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 116 | Suriname | 0 1000 t | 2023 | — | flat |
| 116 | Eswatini | 0 1000 t | 2023 | — | flat |
| 116 | Seychelles | 0 1000 t | 2023 | — | flat |
| 116 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 116 | Tonga | 0 1000 t | 2023 | — | flat |
| 116 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 116 | Uganda | 0 1000 t | 2023 | — | flat |
| 116 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 116 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 116 | Samoa | 0 1000 t | 2023 | — | flat |
| 116 | Yemen | 0 1000 t | 2023 | — | flat |
| 116 | Zambia | 0 1000 t | 2023 | — | flat |
| 116 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 116 | Micronesia | 0 1000 t | 2023 | — | flat |
| 116 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 116 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 116 | Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 116 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 116 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 116 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 116 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 116 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 176 | Senegal | -2 1000 t | 2023 | down 300.0% | volatile |
| 176 | Trinidad and Tobago | -2 1000 t | 2023 | — | volatile |
| 178 | Guatemala | -3 1000 t | 2023 | down 50.0% | falling |
| 178 | Serbia | -3 1000 t | 2023 | down 133.3% | volatile |
| 180 | Republic of Moldova | -42 1000 t | 2023 | down 800.0% | volatile |
| 181 | Romania | -292 1000 t | 2023 | down 183.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 92,921 1000 t
- Asia 41,137 1000 t
- Europe 34,322 1000 t
- European Union (27) 25,486 1000 t
- Eastern Asia 24,106 1000 t
- Western Europe 17,156 1000 t
- Americas 15,637 1000 t
- Southern Asia 15,232 1000 t
- Northern America 13,548 1000 t
- Eastern Europe 12,360 1000 t
- Northern Europe 4,059 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,167 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.