Rape and Mustardseed — Import Quantity 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 — Import Quantity is currently reported for 166 countries. The highest value is 4.65 million t in Germany; the lowest is 0 t in Yemen.
The median across all reporting countries is 689.12 t, and the mean is 127,409 t.
Over the past decade 124 countries rose and 30 fell. The largest increase was in United Arab Emirates (up 60,591.6%), and the largest decrease in Dominica (down 100.0%).
Rape and Mustardseed — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 4.65 million t | 2013 | up 269.0% | volatile |
| 2 | China, mainland | 3.66 million t | 2013 | up 2,093.1% | volatile |
| 3 | Japan | 2.47 million t | 2013 | up 18.0% | volatile |
| 4 | Belgium | 2.00 million t | 2013 | up 302.6% | volatile |
| 5 | Netherlands (Kingdom of the) | 1.72 million t | 2013 | up 890.9% | volatile |
| 6 | Mexico | 1.40 million t | 2013 | up 77.4% | volatile |
| 7 | France | 1.14 million t | 2013 | up 2,425.9% | volatile |
| 8 | Belgium-Luxembourg | 746,737 t | 1999 | up 27.2% | volatile |
| 9 | United Arab Emirates | 564,128 t | 2013 | up 60,591.6% | volatile |
| 10 | Pakistan | 512,220 t | 2013 | up 23.4% | volatile |
| 11 | Austria | 254,123 t | 2013 | up 261.3% | volatile |
| 12 | Poland | 237,319 t | 2013 | up 1,151.0% | volatile |
| 13 | United Kingdom of Great Britain and Northern Ireland | 194,156 t | 2013 | up 30.6% | volatile |
| 14 | Portugal | 152,580 t | 2013 | up 8,394.4% | volatile |
| 15 | Czechia | 144,767 t | 2013 | up 1,037.2% | volatile |
| 16 | T�rkiye | 137,792 t | 2013 | up 23,584.6% | volatile |
| 17 | Hungary | 131,390 t | 2013 | up 6,796.2% | volatile |
| 18 | Finland | 122,072 t | 2013 | up 48.6% | volatile |
| 19 | Canada | 103,400 t | 2013 | down 61.3% | volatile |
| 20 | Bangladesh | 76,408 t | 2013 | down 68.1% | volatile |
| 21 | Nepal | 75,606 t | 2013 | up 10.7% | volatile |
| 22 | Denmark | 72,947 t | 2013 | down 69.7% | volatile |
| 23 | Latvia | 72,014 t | 2013 | up 3,061.0% | volatile |
| 24 | Republic of Korea | 59,108 t | 2013 | up 763.1% | volatile |
| 25 | Israel | 56,050 t | 2013 | up 207.0% | volatile |
| 26 | Italy | 48,494 t | 2013 | up 174.8% | volatile |
| 27 | Spain | 35,790 t | 2013 | up 21.0% | volatile |
| 28 | Romania | 30,117 t | 2013 | up 2,402.4% | volatile |
| 29 | Brazil | 27,790 t | 2013 | up 699.1% | volatile |
| 30 | Sweden | 23,250 t | 2013 | down 76.0% | volatile |
| 31 | Greece | 21,578 t | 2013 | up 1,027.4% | volatile |
| 32 | Slovakia | 19,495 t | 2013 | up 52.8% | volatile |
| 33 | Iran (Islamic Republic of) | 16,396 t | 2013 | up 2,557.3% | volatile |
| 34 | Estonia | 14,205 t | 2013 | down 14.6% | volatile |
| 35 | Malaysia | 14,003 t | 2013 | up 10,451.8% | volatile |
| 36 | Bosnia and Herzegovina | 12,544 t | 2013 | up 4,683.0% | volatile |
| 37 | Switzerland | 10,338 t | 2013 | up 13.3% | volatile |
| 38 | Norway | 9,516 t | 2013 | up 314.7% | volatile |
| 39 | Russian Federation | 7,494 t | 2013 | up 207.9% | volatile |
| 40 | Yugoslav SFR | 6,550 t | 1991 | down 50.0% | volatile |
| 41 | Australia and New Zealand | 6,419 t | 2013 | up 80.9% | volatile |
| 42 | Lithuania | 6,259 t | 2013 | up 4.2% | volatile |
| 43 | Australia | 4,944 t | 2013 | up 79.7% | volatile |
| 44 | Ireland | 3,813 t | 2013 | up 56.1% | volatile |
| 45 | Slovenia | 3,614 t | 2013 | up 555.7% | volatile |
| 46 | Senegal | 3,512 t | 2013 | down 0.5% | volatile |
| 47 | Ukraine | 3,364 t | 2013 | up 7.0% | volatile |
| 48 | Kazakhstan | 3,144 t | 2013 | up 748.6% | volatile |
| 49 | Luxembourg | 2,789 t | 2013 | up 274.1% | volatile |
| 50 | Belarus | 2,404 t | 2013 | up 46.9% | volatile |
| 51 | Sri Lanka | 2,240 t | 2013 | up 36.2% | volatile |
| 52 | Thailand | 2,196 t | 2013 | down 24.8% | volatile |
| 53 | Czechoslovakia | 2,148 t | 1992 | down 60.2% | volatile |
| 54 | Venezuela (Bolivarian Republic of) | 2,022 t | 2013 | up 148.9% | volatile |
| 55 | El Salvador | 1,944 t | 2013 | up 107.4% | volatile |
| 56 | Saudi Arabia | 1,732 t | 2013 | up 117.9% | volatile |
| 57 | Mali | 1,638 t | 2013 | up 636.0% | volatile |
| 58 | C�te d'Ivoire | 1,613 t | 2013 | up 243.2% | volatile |
| 59 | Bulgaria | 1,572 t | 2013 | up 539.2% | volatile |
| 60 | Algeria | 1,544 t | 2013 | up 147.4% | volatile |
| 61 | China, Hong Kong SAR | 1,500 t | 2013 | down 37.3% | volatile |
| 62 | Croatia | 1,482 t | 2013 | up 97.8% | volatile |
| 63 | New Zealand | 1,475 t | 2013 | up 84.9% | volatile |
| 64 | Honduras | 1,395 t | 2013 | up 40.7% | volatile |
| 65 | Morocco | 1,308 t | 2013 | up 126.6% | volatile |
| 66 | China, Taiwan Province of | 1,261 t | 2013 | up 57.0% | volatile |
| 67 | Egypt | 1,219 t | 2013 | up 495.5% | volatile |
| 68 | Paraguay | 1,206 t | 2013 | up 168.8% | volatile |
| 69 | Nicaragua | 1,164 t | 2013 | up 73.7% | volatile |
| 70 | Caribbean | 1,111 t | 2013 | down 29.9% | volatile |
| 71 | Colombia | 1,071 t | 2013 | up 166.2% | volatile |
| 72 | Lebanon | 1,014 t | 2013 | up 115.3% | volatile |
| 73 | Gabon | 1,004 t | 2013 | up 307.6% | volatile |
| 74 | Chile | 972 t | 2013 | up 171.7% | volatile |
| 75 | Argentina | 867.94 t | 2013 | up 122.3% | volatile |
| 76 | Benin | 864.75 t | 2013 | up 1,547.1% | volatile |
| 77 | Uruguay | 839.25 t | 2013 | up 175.6% | volatile |
| 78 | Republic of Moldova | 811.75 t | 2013 | up 351.0% | volatile |
| 79 | Mongolia | 795 t | 2013 | up 3,825.9% | volatile |
| 80 | Indonesia | 782.75 t | 2013 | up 9.9% | volatile |
| 81 | Ecuador | 782 t | 2013 | up 118.3% | volatile |
| 82 | Gambia | 757.75 t | 2013 | up 252.4% | volatile |
| 83 | Panama | 697.5 t | 2013 | up 144.5% | volatile |
| 84 | Peru | 680.75 t | 2013 | up 74.2% | volatile |
| 85 | Costa Rica | 641 t | 2013 | up 54.0% | volatile |
| 86 | Kuwait | 640 t | 2013 | — | volatile |
| 87 | Bolivia (Plurinational State of) | 621.25 t | 2013 | up 124.9% | volatile |
| 88 | Guatemala | 563.75 t | 2013 | up 16.8% | volatile |
| 89 | Niger | 462.5 t | 2013 | up 249.1% | volatile |
| 90 | Burkina Faso | 440.25 t | 2013 | up 173.0% | volatile |
| 91 | Guinea | 427.5 t | 2013 | up 643.5% | volatile |
| 92 | India | 376.5 t | 2013 | down 79.0% | volatile |
| 93 | Philippines | 351.75 t | 2013 | down 42.6% | volatile |
| 94 | North Macedonia | 343.25 t | 2013 | up 25.0% | rising |
| 95 | Guyana | 333 t | 2013 | up 151.3% | volatile |
| 96 | Jordan | 325.75 t | 2013 | up 341.7% | volatile |
| 97 | Nigeria | 320.5 t | 2013 | up 632.6% | volatile |
| 98 | Mauritius | 317.5 t | 2013 | up 35.7% | volatile |
| 99 | Polynesia | 309.5 t | 2013 | down 6.2% | volatile |
| 100 | Djibouti | 302.5 t | 2013 | up 227.0% | volatile |
| 101 | French Polynesia | 294.75 t | 2013 | down 10.7% | volatile |
| 102 | Serbia | 293.33 t | 2013 | up 126.8% | volatile |
| 103 | Bahamas | 291 t | 2013 | up 1,125.3% | volatile |
| 104 | Namibia | 290.75 t | 2013 | up 416.9% | volatile |
| 105 | Oman | 286.75 t | 2013 | down 52.7% | volatile |
| 106 | Tunisia | 285 t | 2013 | up 208.1% | volatile |
| 107 | Iceland | 269 t | 2013 | down 8.0% | volatile |
| 108 | Barbados | 256.25 t | 2013 | up 48.3% | volatile |
| 109 | Melanesia | 242.25 t | 2013 | up 19.5% | volatile |
| 110 | Congo | 213.75 t | 2013 | up 850.0% | volatile |
| 111 | Trinidad and Tobago | 213 t | 2013 | up 136.7% | volatile |
| 112 | Cyprus | 192.25 t | 2013 | up 17.9% | volatile |
| 113 | United Republic of Tanzania | 190.75 t | 2013 | up 408.7% | volatile |
| 114 | Cameroon | 181 t | 2013 | up 70.4% | volatile |
| 115 | Cuba | 170 t | 2013 | down 84.6% | volatile |
| 116 | New Caledonia | 161.25 t | 2013 | up 7.5% | volatile |
| 117 | Montenegro | 157.5 t | 2013 | up 180.0% | rising |
| 118 | Georgia | 145 t | 2013 | up 2,536.4% | volatile |
| 119 | Albania | 143.75 t | 2013 | up 145.7% | volatile |
| 120 | Suriname | 143.5 t | 2013 | — | volatile |
| 121 | Madagascar | 123.5 t | 2013 | up 190.6% | volatile |
| 122 | Eswatini | 111.5 t | 2013 | down 55.0% | volatile |
| 123 | Azerbaijan | 108.75 t | 2013 | up 1,350.0% | volatile |
| 124 | Kenya | 107.5 t | 2013 | up 135.0% | volatile |
| 125 | Serbia and Montenegro | 103.5 t | 2005 | — | volatile |
| 126 | USSR | 100 t | 1991 | — | volatile |
| 127 | Ghana | 96.5 t | 2013 | up 108.6% | volatile |
| 128 | Brunei Darussalam | 92.5 t | 2013 | down 74.6% | volatile |
| 129 | Maldives | 84.75 t | 2013 | up 438.1% | volatile |
| 130 | Uzbekistan | 84.5 t | 2013 | up 113.9% | volatile |
| 131 | Zimbabwe | 84.25 t | 2013 | up 237.0% | volatile |
| 132 | Armenia | 82.25 t | 2013 | up 1,631.6% | volatile |
| 133 | Haiti | 81.25 t | 2013 | up 400.0% | volatile |
| 134 | Fiji | 79.75 t | 2013 | up 54.9% | volatile |
| 135 | Togo | 73.75 t | 2013 | up 227.8% | volatile |
| 136 | Zambia | 62.25 t | 2013 | up 352.7% | volatile |
| 137 | Jamaica | 61.25 t | 2013 | up 14.0% | volatile |
| 138 | Mozambique | 60 t | 2013 | — | volatile |
| 139 | Botswana | 58.5 t | 2013 | unchanged | volatile |
| 139 | Malta | 58.5 t | 2013 | up 7.3% | volatile |
| 141 | Rwanda | 56.25 t | 2013 | up 4,400.0% | volatile |
| 142 | Bermuda | 53.75 t | 2013 | — | volatile |
| 142 | Kyrgyzstan | 53.75 t | 2013 | up 514.3% | volatile |
| 144 | Mauritania | 47 t | 2013 | down 66.7% | volatile |
| 145 | Belize | 43.75 t | 2013 | down 59.3% | volatile |
| 145 | Ethiopia | 43.75 t | 2013 | up 169.2% | volatile |
| 147 | China, Macao SAR | 37.5 t | 2013 | up 25.0% | volatile |
| 148 | Antigua and Barbuda | 28.75 t | 2013 | — | volatile |
| 149 | Uganda | 27 t | 2013 | up 4.9% | volatile |
| 150 | Cambodia | 22.5 t | 2013 | up 157.1% | volatile |
| 150 | Cabo Verde | 22.5 t | 2013 | up 350.0% | volatile |
| 152 | Chad | 20 t | 2013 | up 1,500.0% | volatile |
| 153 | Sudan (former) | 19.25 t | 2011 | — | volatile |
| 154 | Kiribati | 17.5 t | 2013 | up 1,300.0% | volatile |
| 154 | Micronesia | 17.5 t | 2013 | up 1,300.0% | volatile |
| 156 | Samoa | 14.75 t | 2013 | — | volatile |
| 157 | Malawi | 11.25 t | 2013 | down 49.4% | volatile |
| 158 | Saint Lucia | 8.5 t | 2013 | down 78.8% | volatile |
| 159 | Grenada | 1.25 t | 2013 | down 80.0% | volatile |
| 159 | Vanuatu | 1.25 t | 2013 | — | volatile |
| 161 | Dominica | 0 t | 2013 | down 100.0% | volatile |
| 161 | Saint Kitts and Nevis | 0 t | 2013 | down 100.0% | volatile |
| 161 | Solomon Islands | 0 t | 2013 | down 100.0% | volatile |
| 161 | Sierra Leone | 0 t | 2013 | down 100.0% | volatile |
| 161 | Saint Vincent and the Grenadines | 0 t | 2013 | down 100.0% | volatile |
| 161 | Yemen | 0 t | 2013 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 21.06 million t
- Europe 11.15 million t
- European Union (27) 10.91 million t
- Western Europe 9.78 million t
- Asia 7.67 million t
- Eastern Asia 6.20 million t
- Americas 2.22 million t
- Central America 1.40 million t
- Northern America 775,212 t
- Western Asia 762,498 t
- Net Food Importing Developing Countries 690,047 t
- Southern Asia 683,329 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.