Brans — 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
Brans — Import Quantity is currently reported for 172 countries. The highest value is 813,315 t in T�rkiye; the lowest is 0 t in Ethiopia PDR.
The median across all reporting countries is 1,895 t, and the mean is 43,453 t.
Over the past decade 79 countries rose and 59 fell. The largest increase was in Cambodia (up 1,787,500.0%), and the largest decrease in Belize (down 100.0%).
Brans — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | T�rkiye | 813,315 t | 2013 | up 94.1% | volatile |
| 2 | Canada | 430,398 t | 2013 | up 35.3% | volatile |
| 3 | Netherlands (Kingdom of the) | 427,121 t | 2013 | down 23.4% | falling |
| 4 | Germany | 385,331 t | 2013 | up 88.6% | volatile |
| 5 | Egypt | 312,411 t | 2013 | up 75.0% | volatile |
| 6 | Viet Nam | 300,000 t | 2013 | up 95.5% | volatile |
| 7 | Indonesia | 266,815 t | 2013 | up 107.6% | volatile |
| 8 | Japan | 261,919 t | 2013 | up 59.7% | falling |
| 9 | China, mainland | 239,619 t | 2013 | up 677.8% | volatile |
| 10 | Republic of Korea | 223,206 t | 2013 | down 26.8% | volatile |
| 11 | Belgium | 221,014 t | 2013 | up 39.6% | rising |
| 12 | Morocco | 215,400 t | 2013 | up 124.0% | volatile |
| 13 | United Arab Emirates | 211,708 t | 2013 | up 262.5% | volatile |
| 14 | Malaysia | 210,789 t | 2013 | up 283.9% | rising |
| 15 | Ireland | 209,647 t | 2013 | up 19.3% | rising |
| 16 | Israel | 192,049 t | 2013 | up 1,010.9% | volatile |
| 17 | France | 160,225 t | 2013 | up 138.1% | volatile |
| 18 | Uruguay | 154,541 t | 2013 | up 8,533.6% | volatile |
| 19 | United Kingdom of Great Britain and Northern Ireland | 151,825 t | 2013 | up 75.3% | volatile |
| 20 | Belgium-Luxembourg | 122,238 t | 1999 | down 27.2% | volatile |
| 21 | Spain | 120,613 t | 2013 | up 41.4% | volatile |
| 22 | Mexico | 114,577 t | 2013 | down 64.1% | volatile |
| 23 | India | 111,955 t | 2013 | up 741.3% | volatile |
| 24 | Poland | 101,144 t | 2013 | down 37.2% | volatile |
| 25 | Oman | 90,593 t | 2013 | up 513.2% | volatile |
| 26 | Italy | 84,102 t | 2013 | down 6.9% | volatile |
| 27 | Latvia | 81,816 t | 2013 | up 992.3% | volatile |
| 28 | Jordan | 66,037 t | 2013 | up 632.4% | volatile |
| 29 | Denmark | 61,720 t | 2013 | down 25.1% | volatile |
| 30 | Portugal | 61,093 t | 2013 | up 132.2% | volatile |
| 31 | Argentina | 60,480 t | 2013 | up 5,823.6% | volatile |
| 32 | Tunisia | 56,651 t | 2013 | up 111.1% | volatile |
| 33 | Bosnia and Herzegovina | 49,444 t | 2013 | up 1,185.3% | volatile |
| 34 | Saudi Arabia | 49,419 t | 2013 | up 123.9% | volatile |
| 35 | Chile | 48,475 t | 2013 | down 68.2% | volatile |
| 36 | Brazil | 47,496 t | 2013 | down 30.0% | volatile |
| 37 | Iran (Islamic Republic of) | 41,242 t | 2013 | up 3,107.0% | volatile |
| 38 | Romania | 34,990 t | 2013 | down 31.3% | volatile |
| 39 | China, Taiwan Province of | 34,577 t | 2013 | down 80.0% | volatile |
| 40 | Greece | 29,590 t | 2013 | up 560.9% | volatile |
| 41 | Caribbean | 28,679 t | 2013 | up 149.6% | volatile |
| 42 | Norway | 28,579 t | 2013 | up 5,354.0% | volatile |
| 43 | Botswana | 28,253 t | 2013 | up 1,974.4% | volatile |
| 44 | Albania | 26,413 t | 2013 | up 439.8% | volatile |
| 45 | Kenya | 26,096 t | 2013 | up 1,394.6% | volatile |
| 46 | Zimbabwe | 24,887 t | 2013 | up 526.6% | volatile |
| 47 | Jamaica | 24,262 t | 2013 | up 42,464.9% | volatile |
| 48 | Austria | 23,437 t | 2013 | up 93.7% | volatile |
| 49 | Georgia | 22,257 t | 2013 | up 1,101.1% | volatile |
| 50 | Colombia | 21,010 t | 2013 | down 10.2% | volatile |
| 51 | Australia and New Zealand | 20,201 t | 2013 | down 65.5% | volatile |
| 52 | Philippines | 20,180 t | 2013 | down 57.5% | volatile |
| 53 | Russian Federation | 19,798 t | 2013 | up 320.3% | volatile |
| 54 | Ecuador | 18,345 t | 2013 | up 133.8% | volatile |
| 55 | Uzbekistan | 17,927 t | 2013 | — | volatile |
| 56 | Cambodia | 17,876 t | 2013 | up 1,787,500.0% | volatile |
| 57 | New Zealand | 17,617 t | 2013 | up 9,797.2% | volatile |
| 58 | Montenegro | 14,772 t | 2013 | down 18.9% | falling |
| 59 | Croatia | 14,292 t | 2013 | down 13.2% | volatile |
| 60 | Thailand | 14,187 t | 2013 | down 36.3% | volatile |
| 61 | China, Hong Kong SAR | 13,250 t | 2013 | down 63.4% | volatile |
| 62 | Niger | 11,324 t | 2013 | up 5.1% | volatile |
| 63 | Sweden | 10,741 t | 2013 | up 431.7% | volatile |
| 64 | Honduras | 10,455 t | 2013 | down 67.3% | volatile |
| 65 | El Salvador | 9,575 t | 2013 | up 13.1% | volatile |
| 66 | Hungary | 9,487 t | 2013 | up 279.3% | volatile |
| 67 | Czechia | 9,425 t | 2013 | up 1,156.7% | volatile |
| 68 | Nepal | 8,227 t | 2013 | up 228.3% | volatile |
| 69 | Costa Rica | 8,215 t | 2013 | down 34.6% | volatile |
| 70 | Slovenia | 7,899 t | 2013 | down 47.0% | volatile |
| 71 | Estonia | 7,651 t | 2013 | up 73.3% | volatile |
| 72 | Namibia | 6,173 t | 2013 | up 3,687.1% | volatile |
| 73 | Luxembourg | 5,571 t | 2013 | down 31.5% | rising |
| 74 | Bangladesh | 5,286 t | 2013 | down 10.1% | volatile |
| 75 | Slovakia | 4,847 t | 2013 | up 1,342.6% | volatile |
| 76 | Cyprus | 4,594 t | 2013 | up 35,238.5% | volatile |
| 77 | Lithuania | 4,541 t | 2013 | down 81.2% | volatile |
| 78 | Mongolia | 4,135 t | 2013 | up 179.6% | volatile |
| 79 | Lebanon | 3,763 t | 2013 | up 333.0% | volatile |
| 80 | Bulgaria | 3,143 t | 2013 | up 3,973.6% | volatile |
| 81 | Guatemala | 2,837 t | 2013 | down 62.8% | volatile |
| 82 | Australia | 2,584 t | 2013 | down 95.6% | volatile |
| 83 | Iceland | 2,472 t | 2013 | up 49,340.0% | volatile |
| 84 | Trinidad and Tobago | 2,458 t | 2013 | down 76.9% | volatile |
| 85 | Kazakhstan | 2,255 t | 2013 | — | volatile |
| 86 | Uganda | 1,972 t | 2013 | up 24,550.0% | volatile |
| 87 | Yugoslav SFR | 1,818 t | 1991 | — | volatile |
| 88 | Kyrgyzstan | 1,700 t | 2013 | up 1,168.7% | volatile |
| 89 | Benin | 1,629 t | 2013 | up 30.3% | volatile |
| 90 | Armenia | 1,490 t | 2013 | up 11,361.5% | volatile |
| 91 | Switzerland | 1,445 t | 2013 | up 49.1% | volatile |
| 92 | Saint Lucia | 1,400 t | 2013 | up 1,455.6% | volatile |
| 93 | Finland | 1,391 t | 2013 | down 87.0% | volatile |
| 94 | Panama | 1,371 t | 2013 | up 68,450.0% | volatile |
| 95 | Serbia and Montenegro | 1,231 t | 2005 | — | volatile |
| 96 | Venezuela (Bolivarian Republic of) | 1,188 t | 2013 | down 70.3% | volatile |
| 97 | Zambia | 1,059 t | 2013 | up 797.5% | volatile |
| 98 | Czechoslovakia | 1,000 t | 1992 | — | volatile |
| 99 | Senegal | 838 t | 2013 | down 98.4% | volatile |
| 100 | Peru | 835 t | 2013 | down 46.1% | volatile |
| 101 | Azerbaijan | 787 t | 2013 | up 182.1% | volatile |
| 102 | Sri Lanka | 651 t | 2013 | up 4,550.0% | volatile |
| 103 | Rwanda | 614 t | 2013 | up 473.8% | volatile |
| 104 | Serbia | 581.4 t | 2013 | up 139.9% | volatile |
| 105 | Mozambique | 472 t | 2013 | up 2,676.5% | volatile |
| 106 | Malta | 460 t | 2013 | up 10.6% | volatile |
| 107 | Republic of Moldova | 382 t | 2013 | down 57.6% | volatile |
| 108 | Belarus | 344 t | 2013 | down 98.3% | volatile |
| 108 | Barbados | 344 t | 2013 | up 4,814.3% | volatile |
| 110 | Ghana | 292 t | 2013 | down 85.3% | volatile |
| 111 | Guinea | 225 t | 2013 | up 476.9% | volatile |
| 111 | C�te d'Ivoire | 225 t | 2013 | up 5,525.0% | volatile |
| 113 | Melanesia | 203 t | 2013 | up 480.0% | volatile |
| 114 | North Macedonia | 185 t | 2013 | down 86.8% | volatile |
| 114 | New Caledonia | 185 t | 2013 | up 428.6% | volatile |
| 116 | Democratic People's Republic of Korea | 140 t | 2013 | down 80.7% | volatile |
| 117 | Burkina Faso | 128 t | 2013 | down 93.8% | volatile |
| 118 | Ukraine | 124 t | 2013 | down 79.1% | volatile |
| 119 | Nicaragua | 121 t | 2013 | up 3,933.3% | volatile |
| 120 | Paraguay | 118 t | 2013 | — | volatile |
| 121 | Madagascar | 111 t | 2013 | — | volatile |
| 122 | French Polynesia | 108 t | 2013 | down 81.5% | volatile |
| 122 | Polynesia | 108 t | 2013 | down 81.5% | volatile |
| 124 | Saint Kitts and Nevis | 107 t | 2013 | up 494.4% | volatile |
| 125 | Bahamas | 103 t | 2013 | — | volatile |
| 126 | Lesotho | 87 t | 2013 | — | volatile |
| 127 | Nigeria | 72 t | 2013 | down 91.0% | volatile |
| 128 | Brunei Darussalam | 68 t | 2013 | down 93.8% | volatile |
| 129 | Guyana | 66 t | 2013 | — | volatile |
| 130 | Bolivia (Plurinational State of) | 64 t | 2013 | down 80.4% | volatile |
| 131 | Mali | 58 t | 2013 | up 2,800.0% | volatile |
| 132 | Suriname | 53 t | 2013 | — | volatile |
| 133 | Eswatini | 49 t | 2013 | down 98.1% | volatile |
| 134 | Kuwait | 48 t | 2013 | down 98.5% | volatile |
| 135 | Cameroon | 41 t | 2013 | down 92.8% | volatile |
| 136 | Togo | 36 t | 2013 | down 88.2% | volatile |
| 137 | China, Macao SAR | 30 t | 2013 | down 92.4% | volatile |
| 138 | Mauritania | 26 t | 2013 | down 99.9% | volatile |
| 139 | Cabo Verde | 25 t | 2013 | — | volatile |
| 140 | Mauritius | 24 t | 2013 | — | volatile |
| 140 | Yemen | 24 t | 2013 | down 96.8% | volatile |
| 142 | Vanuatu | 18 t | 2013 | — | volatile |
| 143 | Algeria | 11 t | 2013 | up 83.3% | volatile |
| 144 | Maldives | 4 t | 2013 | — | volatile |
| 145 | Dominican Republic | 3 t | 2013 | — | volatile |
| 145 | Ethiopia | 3 t | 2013 | — | volatile |
| 145 | United Republic of Tanzania | 3 t | 2013 | down 25.0% | volatile |
| 148 | Grenada | 2 t | 2013 | down 94.9% | volatile |
| 149 | Sudan (former) | 1 t | 2011 | — | volatile |
| 150 | Antigua and Barbuda | 0 t | 2013 | — | volatile |
| 150 | Belize | 0 t | 2013 | down 100.0% | volatile |
| 150 | Bermuda | 0 t | 2013 | — | volatile |
| 150 | Congo | 0 t | 2013 | — | volatile |
| 150 | Cuba | 0 t | 2013 | down 100.0% | volatile |
| 150 | Djibouti | 0 t | 2013 | — | volatile |
| 150 | Dominica | 0 t | 2013 | — | volatile |
| 150 | Fiji | 0 t | 2013 | — | volatile |
| 150 | Gabon | 0 t | 2013 | — | volatile |
| 150 | Gambia | 0 t | 2013 | — | volatile |
| 150 | Haiti | 0 t | 2013 | down 100.0% | volatile |
| 150 | Kiribati | 0 t | 2013 | — | volatile |
| 150 | Malawi | 0 t | 2013 | down 100.0% | volatile |
| 150 | Pakistan | 0 t | 2013 | down 100.0% | volatile |
| 150 | Solomon Islands | 0 t | 2013 | — | volatile |
| 150 | Sierra Leone | 0 t | 2013 | — | volatile |
| 150 | Sao Tome and Principe | 0 t | 2013 | down 100.0% | volatile |
| 150 | Turkmenistan | 0 t | 2013 | down 100.0% | volatile |
| 150 | Samoa | 0 t | 2013 | — | volatile |
| 150 | USSR | 0 t | 1991 | — | flat |
| 150 | Micronesia | 0 t | 2013 | — | volatile |
| 150 | Lao People's Democratic Republic | 0 t | 2013 | — | volatile |
| 150 | Ethiopia PDR | 0 t | 1992 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 7.69 million t
- Asia 3.25 million t
- Europe 2.38 million t
- European Union (27) 2.09 million t
- Western Asia 1.46 million t
- Western Europe 1.22 million t
- Americas 1.21 million t
- Africa 832,907 t
- South-eastern Asia 829,915 t
- Net Food Importing Developing Countries 816,814 t
- Eastern Asia 776,877 t
- Northern America 682,421 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.