Rape and Mustardseed — Food supply quantity (tonnes) by country
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 supply quantity (tonnes) is currently reported for 164 countries. The highest value is 750,056 t in India; the lowest is 0 t in Serbia and Montenegro.
The median across all reporting countries is 338.62 t, and the mean is 6,190 t.
Over the past decade 109 countries rose and 44 fell. The largest increase was in Oman (up 14,187.5%), and the largest decrease in Central African Republic (down 100.0%).
Rape and Mustardseed — Food supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 750,056 t | 2013 | up 50.0% | volatile |
| 2 | Canada | 45,140 t | 2013 | down 18.5% | volatile |
| 3 | USSR | 24,000 t | 1991 | up 20.0% | rising |
| 3 | Venezuela (Bolivarian Republic of) | 2,022 t | 2013 | up 149.3% | volatile |
| 4 | Germany | 23,344 t | 2013 | down 19.4% | rising |
| 5 | United Kingdom of Great Britain and Northern Ireland | 12,411 t | 2013 | up 17.5% | volatile |
| 5 | Bolivia (Plurinational State of) | 621.25 t | 2013 | up 126.9% | volatile |
| 6 | Japan | 10,585 t | 2013 | down 5.9% | rising |
| 6 | Iran (Islamic Republic of) | 328.5 t | 2013 | up 78.8% | volatile |
| 7 | Mexico | 9,916 t | 2013 | up 27.4% | volatile |
| 7 | Polynesia | 303.5 t | 2013 | down 8.0% | volatile |
| 8 | Spain | 6,644 t | 2013 | up 2,031.3% | volatile |
| 8 | Melanesia | 242.25 t | 2013 | up 19.5% | volatile |
| 9 | Netherlands (Kingdom of the) | 6,192 t | 2013 | up 90.2% | volatile |
| 9 | Republic of Moldova | 220 t | 2013 | up 179.4% | volatile |
| 10 | Republic of Korea | 6,122 t | 2013 | up 30.6% | volatile |
| 10 | United Republic of Tanzania | 188.75 t | 2013 | up 16.2% | volatile |
| 11 | Nepal | 5,836 t | 2013 | up 2,339.5% | volatile |
| 11 | Micronesia | 17.5 t | 2013 | up 1,300.0% | volatile |
| 12 | Belgium | 5,211 t | 2013 | down 53.0% | falling |
| 13 | Belgium-Luxembourg | 5,081 t | 1999 | up 12.3% | volatile |
| 14 | Sweden | 4,058 t | 2013 | up 2,662.4% | volatile |
| 15 | Italy | 3,655 t | 2013 | up 52.8% | volatile |
| 16 | Russian Federation | 3,594 t | 2013 | up 463.7% | volatile |
| 17 | Slovakia | 3,592 t | 2013 | down 27.8% | volatile |
| 18 | Australia and New Zealand | 3,266 t | 2013 | up 105.7% | volatile |
| 19 | France | 3,223 t | 2013 | up 19.1% | falling |
| 20 | Brazil | 2,972 t | 2013 | up 371.4% | volatile |
| 21 | Senegal | 2,910 t | 2013 | down 16.0% | volatile |
| 22 | Ethiopia | 2,490 t | 2013 | up 36.2% | rising |
| 23 | Romania | 2,487 t | 2013 | down 64.9% | volatile |
| 24 | Sri Lanka | 2,290 t | 2013 | up 25.9% | rising |
| 25 | Greece | 2,188 t | 2013 | up 27.5% | volatile |
| 26 | Switzerland | 2,165 t | 2013 | up 48.3% | volatile |
| 27 | Australia | 2,150 t | 2013 | up 140.9% | volatile |
| 27 | Caribbean | 943 t | 2013 | down 38.5% | volatile |
| 28 | Thailand | 1,976 t | 2013 | down 23.0% | volatile |
| 29 | Hungary | 1,958 t | 2013 | up 872.7% | volatile |
| 29 | Cabo Verde | 22.5 t | 2013 | up 350.0% | volatile |
| 30 | Tunisia | 1,800 t | 2013 | down 40.0% | volatile |
| 31 | Saudi Arabia | 1,732 t | 2013 | up 171.6% | volatile |
| 32 | United Arab Emirates | 1,692 t | 2013 | up 448.2% | volatile |
| 33 | Israel | 1,641 t | 2013 | up 79.9% | volatile |
| 34 | Mali | 1,638 t | 2013 | up 636.0% | volatile |
| 35 | Finland | 1,622 t | 2013 | down 0.2% | volatile |
| 36 | El Salvador | 1,616 t | 2013 | up 316.8% | volatile |
| 37 | C�te d'Ivoire | 1,558 t | 2013 | up 231.4% | volatile |
| 38 | Norway | 1,458 t | 2013 | up 77.9% | volatile |
| 39 | Honduras | 1,394 t | 2013 | up 40.6% | volatile |
| 40 | Algeria | 1,256 t | 2013 | up 141.0% | volatile |
| 41 | Bulgaria | 1,198 t | 2013 | up 415.9% | volatile |
| 42 | Morocco | 1,172 t | 2013 | up 138.0% | volatile |
| 43 | Nicaragua | 1,164 t | 2013 | up 73.7% | volatile |
| 44 | New Zealand | 1,116 t | 2013 | up 60.6% | volatile |
| 45 | Paraguay | 1,081 t | 2013 | up 146.4% | volatile |
| 46 | Egypt | 1,008 t | 2013 | up 1,196.1% | volatile |
| 47 | Gabon | 1,004 t | 2013 | up 307.6% | volatile |
| 48 | China, Taiwan Province of | 997.75 t | 2013 | up 47.5% | volatile |
| 49 | Kazakhstan | 988.75 t | 2013 | up 199.6% | volatile |
| 50 | Lebanon | 987.25 t | 2013 | up 114.5% | volatile |
| 51 | China, Hong Kong SAR | 937.5 t | 2013 | down 52.3% | volatile |
| 52 | Ireland | 937 t | 2013 | up 17.9% | volatile |
| 53 | Colombia | 931.75 t | 2013 | up 208.8% | volatile |
| 54 | Czechoslovakia | 889 t | 1992 | down 80.3% | volatile |
| 55 | Denmark | 872.73 t | 2013 | down 25.7% | volatile |
| 56 | Benin | 864.75 t | 2013 | up 1,547.1% | volatile |
| 57 | China, mainland | 820 t | 2013 | up 176.8% | volatile |
| 58 | Ecuador | 755.75 t | 2013 | up 111.0% | volatile |
| 59 | Gambia | 754.75 t | 2013 | up 251.0% | volatile |
| 60 | Croatia | 730.78 t | 2013 | up 9.7% | rising |
| 61 | T�rkiye | 709.22 t | 2013 | up 87.6% | volatile |
| 62 | Panama | 697.5 t | 2013 | up 144.5% | volatile |
| 63 | Czechia | 673.62 t | 2013 | down 84.2% | volatile |
| 64 | Peru | 672 t | 2013 | up 80.6% | volatile |
| 65 | Chile | 670 t | 2013 | up 89.8% | volatile |
| 66 | Uruguay | 660.25 t | 2013 | up 122.9% | volatile |
| 67 | Portugal | 619.5 t | 2013 | down 7.4% | volatile |
| 68 | Lithuania | 606.25 t | 2013 | up 96.4% | volatile |
| 69 | Estonia | 508.75 t | 2013 | up 167.8% | volatile |
| 70 | Bosnia and Herzegovina | 492.5 t | 2013 | up 88.5% | volatile |
| 71 | Malaysia | 483.6 t | 2013 | up 1,254.2% | volatile |
| 72 | Slovenia | 476.25 t | 2013 | up 1,901.9% | volatile |
| 73 | Kuwait | 476 t | 2013 | — | volatile |
| 74 | Niger | 462.5 t | 2013 | up 249.1% | volatile |
| 75 | Burkina Faso | 431.25 t | 2013 | up 167.4% | volatile |
| 76 | Guinea | 427.5 t | 2013 | up 643.5% | volatile |
| 77 | Bangladesh | 407.5 t | 2013 | down 99.2% | volatile |
| 78 | Yugoslav SFR | 389.23 t | 1991 | down 90.9% | volatile |
| 79 | Poland | 343.75 t | 2013 | up 161.9% | volatile |
| 80 | North Macedonia | 333.5 t | 2013 | up 27.3% | rising |
| 81 | Guyana | 333 t | 2013 | up 151.3% | volatile |
| 82 | Jordan | 325.75 t | 2013 | up 341.7% | volatile |
| 83 | Nigeria | 320.5 t | 2013 | up 654.1% | volatile |
| 84 | Mauritius | 316.25 t | 2013 | up 48.5% | volatile |
| 85 | Djibouti | 302.5 t | 2013 | up 227.0% | volatile |
| 86 | Bahamas | 291 t | 2013 | up 1,125.3% | volatile |
| 87 | French Polynesia | 288.75 t | 2013 | down 12.5% | volatile |
| 88 | Namibia | 287.5 t | 2013 | up 60.8% | volatile |
| 89 | Oman | 285.75 t | 2013 | up 14,187.5% | volatile |
| 90 | Iceland | 260 t | 2013 | down 6.3% | volatile |
| 91 | Barbados | 256.25 t | 2013 | up 48.3% | volatile |
| 92 | Luxembourg | 243.14 t | 2013 | up 30.9% | rising |
| 93 | Guatemala | 228 t | 2013 | down 26.9% | volatile |
| 94 | Congo | 213.75 t | 2013 | up 850.0% | volatile |
| 95 | Cyprus | 189.25 t | 2013 | up 134.4% | volatile |
| 96 | Cuba | 170 t | 2013 | down 84.4% | volatile |
| 97 | New Caledonia | 161.25 t | 2013 | up 7.5% | volatile |
| 98 | Philippines | 159.25 t | 2013 | down 69.3% | volatile |
| 99 | Montenegro | 157.5 t | 2013 | up 180.0% | rising |
| 100 | Pakistan | 148.5 t | 2013 | up 189.8% | volatile |
| 101 | Georgia | 145 t | 2013 | up 2,536.4% | volatile |
| 102 | Albania | 143.75 t | 2013 | up 145.7% | volatile |
| 103 | Suriname | 142.25 t | 2013 | — | volatile |
| 104 | Madagascar | 123.5 t | 2013 | up 190.6% | volatile |
| 105 | Latvia | 113.75 t | 2013 | down 20.2% | volatile |
| 106 | Azerbaijan | 108.75 t | 2013 | up 2,075.0% | volatile |
| 107 | Kenya | 106.25 t | 2013 | up 153.0% | volatile |
| 108 | Ghana | 96.5 t | 2013 | up 108.6% | volatile |
| 109 | Brunei Darussalam | 92.5 t | 2013 | down 74.6% | volatile |
| 110 | Indonesia | 86.75 t | 2013 | down 87.4% | volatile |
| 111 | Maldives | 84.75 t | 2013 | up 438.1% | volatile |
| 112 | Uzbekistan | 82.5 t | 2013 | up 153.8% | volatile |
| 113 | Haiti | 81.25 t | 2013 | up 400.0% | volatile |
| 114 | Fiji | 79.75 t | 2013 | up 54.9% | volatile |
| 115 | Togo | 73.75 t | 2013 | up 227.8% | volatile |
| 116 | Zambia | 62.25 t | 2013 | up 352.7% | volatile |
| 117 | Austria | 60.99 t | 2013 | down 94.0% | volatile |
| 118 | Eswatini | 60.5 t | 2013 | up 51.2% | volatile |
| 119 | Jamaica | 60 t | 2013 | up 11.6% | volatile |
| 119 | Mozambique | 60 t | 2013 | — | volatile |
| 121 | Botswana | 58.5 t | 2013 | unchanged | volatile |
| 122 | Rwanda | 56.25 t | 2013 | up 4,400.0% | volatile |
| 123 | Bermuda | 53.75 t | 2013 | — | volatile |
| 123 | Kyrgyzstan | 53.75 t | 2013 | up 514.3% | volatile |
| 125 | Malta | 48.5 t | 2013 | up 470.6% | volatile |
| 126 | Costa Rica | 48 t | 2013 | down 77.6% | volatile |
| 127 | Mauritania | 47 t | 2013 | down 66.7% | volatile |
| 128 | Trinidad and Tobago | 46 t | 2013 | down 8.0% | volatile |
| 129 | Belize | 43.75 t | 2013 | down 59.3% | volatile |
| 130 | Zimbabwe | 43.25 t | 2013 | up 143.7% | volatile |
| 131 | Armenia | 41.25 t | 2013 | up 1,000.0% | volatile |
| 132 | China, Macao SAR | 37.5 t | 2013 | up 25.0% | volatile |
| 133 | Antigua and Barbuda | 28.75 t | 2013 | — | volatile |
| 134 | Uganda | 27 t | 2013 | up 4.9% | volatile |
| 135 | Cambodia | 22.5 t | 2013 | up 157.1% | volatile |
| 136 | Chad | 20 t | 2013 | up 1,500.0% | volatile |
| 137 | Sudan (former) | 19.25 t | 2011 | — | volatile |
| 138 | Kiribati | 17.5 t | 2013 | up 1,300.0% | volatile |
| 139 | Samoa | 14.75 t | 2013 | — | volatile |
| 140 | Mongolia | 10 t | 2013 | down 38.5% | volatile |
| 141 | Saint Lucia | 8.5 t | 2013 | down 78.8% | volatile |
| 142 | Malawi | 8.25 t | 2013 | down 62.9% | volatile |
| 143 | South Africa | 6.25 t | 2013 | down 99.5% | volatile |
| 144 | Belarus | 3.75 t | 2013 | down 98.6% | volatile |
| 145 | Grenada | 1.25 t | 2013 | down 80.0% | volatile |
| 145 | Vanuatu | 1.25 t | 2013 | — | volatile |
| 147 | Argentina | 0 t | 2013 | — | volatile |
| 147 | Central African Republic | 0 t | 2013 | down 100.0% | volatile |
| 147 | Dominica | 0 t | 2013 | down 100.0% | volatile |
| 147 | Saint Kitts and Nevis | 0 t | 2013 | down 100.0% | volatile |
| 147 | Solomon Islands | 0 t | 2013 | down 100.0% | volatile |
| 147 | Sierra Leone | 0 t | 2013 | down 100.0% | volatile |
| 147 | Saint Vincent and the Grenadines | 0 t | 2013 | down 100.0% | volatile |
| 147 | Serbia and Montenegro | 0 t | 2005 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1.05 million t
- Asia 790,942 t
- Low Income Food Deficit Countries 770,839 t
- Land Locked Developing Countries 14,734 t
- Southern Asia 759,152 t
- Americas 142,789 t
- Middle Africa 1,238 t
- Northern America 115,877 t
- Europe 92,845 t
- European Union (27) 71,796 t
- United States of America 70,684 t
- Western Europe 40,439 t
- Net Food Importing Developing Countries 33,816 t
- Northern Europe 22,847 t
- Africa 20,276 t
- Eastern Asia 19,510 t
- Least developed countries 17,314 t
- Southern Europe 15,489 t
- Central America 15,107 t
- Eastern Europe 14,069 t
- South America 10,862 t
- Western Africa 9,606 t
- Western Asia 8,334 t
- Northern Africa 5,236 t
- Oceania 3,830 t
- Eastern Africa 3,784 t
- South-Eastern Asia 2,821 t
- Small Island Developing States 2,502 t
- Central Asia 1,125 t
- Southern Africa 412.75 t
About this data
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 caput 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.