Net food imports by crop - Soybeans by country
Net food imports are generated from FAOSTAT, taking Export level (tonnes) from the Import level (tonnes) [both under Trade: Crops and Livestock Products]. Net food imports are a proxy for the country's vulnerability to global food prices.
Countries reporting
165
Highest
91.29 million
China
Lowest
-6.57 million
France
Median
16
Years covered
59
1961–2019
Data points
6,626
What the numbers show
Net food imports by crop - Soybeans is currently reported for 165 countries. The highest value is 91.29 million in China; the lowest is -6.57 million in France.
The median across all reporting countries is 16, and the mean is 724,144.
The gap between the highest and lowest reporting country is a factor of about 14.
Over the past decade 77 countries rose and 76 fell. The largest increase was in Pakistan (up 294,675.0%), and the largest decrease in Belize (down 27,756.0%).
Net food imports by crop - Soybeans: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 91.29 million | 2019 | up 103.1% | volatile |
| 2 | Mexico | 4.85 million | 2019 | up 41.6% | volatile |
| 3 | Egypt | 4.26 million | 2019 | up 190.9% | volatile |
| 4 | Netherlands | 4.02 million | 2019 | up 37.4% | volatile |
| 5 | Japan | 3.39 million | 2019 | up 0.1% | rising |
| 6 | Spain | 3.17 million | 2019 | up 9.2% | volatile |
| 7 | Turkey | 2.70 million | 2019 | up 301.7% | volatile |
| 8 | Taiwan | 2.68 million | 2019 | up 13.2% | volatile |
| 9 | Indonesia | 2.63 million | 2019 | up 100.1% | volatile |
| 10 | Thailand | 2.40 million | 2019 | up 56.2% | volatile |
| 11 | Iran | 2.30 million | 2019 | up 127.8% | volatile |
| 12 | Bangladesh | 2.20 million | 2019 | up 1,511.8% | volatile |
| 13 | Germany | 2.09 million | 2019 | up 4.8% | volatile |
| 14 | Italy | 2.05 million | 2019 | up 50.4% | rising |
| 15 | Argentina | 2.03 million | 2019 | up 1,180.1% | volatile |
| 16 | Pakistan | 2.02 million | 2019 | up 294,675.0% | volatile |
| 17 | Vietnam | 1.62 million | 2019 | up 842.5% | volatile |
| 18 | South Korea | 1.26 million | 2019 | up 15.9% | volatile |
| 19 | Portugal | 1.11 million | 2019 | up 29.3% | volatile |
| 20 | Malaysia | 771,263 | 2019 | up 57.0% | volatile |
| 21 | Saudi Arabia | 680,959 | 2019 | up 172.6% | volatile |
| 22 | Tunisia | 668,457 | 2019 | up 196.6% | volatile |
| 23 | Colombia | 624,376 | 2019 | up 97.5% | rising |
| 24 | Belarus | 486,101 | 2019 | up 92,490.7% | volatile |
| 25 | Norway | 403,076 | 2019 | down 0.8% | rising |
| 26 | Peru | 379,068 | 2019 | up 306.8% | volatile |
| 27 | Belgium | 332,683 | 2019 | down 28.7% | volatile |
| 28 | United States | 303,452 | 2019 | up 2.3% | volatile |
| 29 | Greece | 300,156 | 2019 | down 2.1% | volatile |
| 30 | Costa Rica | 260,907 | 2019 | up 13.6% | volatile |
| 31 | India | 227,616 | 2019 | up 544.8% | volatile |
| 32 | Israel | 223,784 | 2019 | down 35.2% | rising |
| 33 | Philippines | 178,054 | 2019 | up 428.1% | volatile |
| 34 | Nepal | 162,693 | 2019 | up 14,880.9% | volatile |
| 35 | Brazil | 144,241 | 2019 | up 45.1% | volatile |
| 36 | Lebanon | 139,420 | 2019 | up 4,896.0% | volatile |
| 37 | Algeria | 100,265 | 2019 | up 74,170.4% | volatile |
| 38 | Austria | 93,552 | 2019 | up 178.8% | volatile |
| 39 | Venezuela | 77,954 | 2017 | up 3,905.9% | volatile |
| 40 | Chile | 77,410 | 2019 | up 273.3% | volatile |
| 41 | Panama | 36,550 | 2019 | up 927.6% | volatile |
| 42 | Dominican Republic | 31,946 | 2019 | up 127,684.0% | volatile |
| 43 | Barbados | 28,060 | 2019 | up 26.0% | volatile |
| 44 | Morocco | 24,901 | 2019 | down 91.9% | volatile |
| 45 | Hong Kong | 24,017 | 2019 | down 27.7% | rising |
| 46 | Singapore | 21,084 | 2019 | up 14.3% | volatile |
| 47 | Nigeria | 19,489 | 2019 | up 26,236.5% | volatile |
| 48 | Myanmar | 15,020 | 2019 | up 102.7% | volatile |
| 49 | Switzerland | 12,039 | 2019 | down 45.2% | volatile |
| 50 | Bosnia and Herzegovina | 9,634 | 2019 | down 63.6% | volatile |
| 51 | Azerbaijan | 9,559 | 2019 | down 1.1% | volatile |
| 52 | Rwanda | 8,557 | 2019 | up 491.0% | volatile |
| 53 | South Africa | 7,359 | 2019 | up 1,499.8% | volatile |
| 54 | Tanzania | 7,100 | 2019 | up 290.3% | volatile |
| 55 | Botswana | 5,235 | 2019 | up 48.4% | volatile |
| 56 | Libya | 4,859 | 2016 | — | volatile |
| 57 | Saint Vincent and the Grenadines | 2,724 | 2019 | up 234.9% | volatile |
| 58 | Poland | 2,523 | 2019 | up 104.0% | volatile |
| 59 | Sri Lanka | 2,194 | 2019 | up 30.7% | volatile |
| 60 | New Zealand | 1,968 | 2019 | up 50.6% | volatile |
| 61 | Mozambique | 1,640 | 2019 | up 110.9% | volatile |
| 62 | Gabon | 1,353 | 2019 | down 5.1% | rising |
| 63 | North Korea | 1,329 | 2019 | down 95.7% | volatile |
| 64 | Montenegro | 1,275 | 2019 | up 438.0% | volatile |
| 65 | Qatar | 1,169 | 2018 | up 154.2% | volatile |
| 66 | Brunei | 811 | 2019 | down 53.5% | volatile |
| 67 | Seychelles | 729 | 2018 | down 64.8% | volatile |
| 68 | Macao | 636 | 2018 | up 22.5% | volatile |
| 69 | Tajikistan | 366 | 2019 | down 18.3% | volatile |
| 70 | Papua New Guinea | 201 | 2019 | down 49.6% | volatile |
| 71 | Mauritius | 101 | 2019 | down 1.0% | volatile |
| 72 | Kuwait | 90 | 2019 | up 280.0% | volatile |
| 73 | Ghana | 86 | 2019 | up 4.9% | volatile |
| 74 | Togo | 69 | 2019 | down 85.4% | volatile |
| 75 | Turkmenistan | 63 | 2019 | up 100.3% | volatile |
| 76 | Uganda | 62 | 2019 | up 124.8% | volatile |
| 77 | Senegal | 53 | 2019 | up 147.7% | volatile |
| 78 | Albania | 43 | 2019 | — | volatile |
| 79 | Armenia | 30 | 2019 | down 99.5% | volatile |
| 80 | Burundi | 28 | 2019 | down 90.8% | volatile |
| 81 | Guatemala | 23 | 2019 | down 78.5% | volatile |
| 82 | Bahrain | 18 | 2019 | down 99.8% | volatile |
| 83 | Namibia | 16 | 2019 | down 85.0% | volatile |
| 84 | Iceland | 15 | 2019 | up 650.0% | rising |
| 85 | Cyprus | 13 | 2019 | up 550.0% | volatile |
| 85 | South Sudan | 13 | 2018 | — | volatile |
| 87 | Malta | 10 | 2019 | down 37.5% | volatile |
| 88 | Ecuador | 6 | 2019 | up 101.9% | volatile |
| 88 | Oman | 6 | 2019 | down 99.8% | volatile |
| 90 | Fiji | 3 | 2019 | down 98.0% | volatile |
| 91 | Benin | 1 | 2014 | up 104.5% | volatile |
| 91 | Saint Lucia | 1 | 2019 | — | volatile |
| 93 | Bahamas | 0 | 2019 | up 100.0% | volatile |
| 93 | Cape Verde | 0 | 2017 | down 100.0% | volatile |
| 93 | Dominica | 0 | 2017 | up 100.0% | volatile |
| 93 | Guinea | 0 | 2019 | down 100.0% | volatile |
| 93 | New Caledonia | 0 | 2018 | down 100.0% | volatile |
| 93 | Vanuatu | 0 | 2013 | down 100.0% | volatile |
| 99 | Saint Kitts and Nevis | -1 | 2016 | unchanged | volatile |
| 99 | Liberia | -1 | 2019 | — | volatile |
| 99 | French Polynesia | -1 | 2018 | down 105.9% | volatile |
| 102 | Bhutan | -4 | 2018 | down 112.5% | volatile |
| 103 | Cameroon | -5 | 2018 | down 108.3% | volatile |
| 103 | Haiti | -5 | 2019 | — | volatile |
| 105 | Guyana | -16 | 2019 | — | volatile |
| 106 | Kyrgyzstan | -36 | 2019 | — | volatile |
| 107 | Iraq | -41 | 2019 | down 102.7% | volatile |
| 108 | Trinidad and Tobago | -45 | 2018 | down 100.4% | volatile |
| 109 | Angola | -49 | 2019 | down 137.4% | volatile |
| 110 | Lesotho | -111 | 2019 | down 242.3% | volatile |
| 111 | Congo | -126 | 2019 | up 91.6% | volatile |
| 112 | Jamaica | -132 | 2019 | down 267.1% | volatile |
| 113 | Madagascar | -137 | 2019 | up 82.3% | volatile |
| 114 | Kenya | -215 | 2019 | down 101.1% | volatile |
| 115 | Afghanistan | -225 | 2019 | up 87.0% | volatile |
| 116 | Ethiopia | -366 | 2019 | down 105.6% | volatile |
| 117 | Eswatini | -559 | 2019 | down 207.5% | volatile |
| 118 | Honduras | -624 | 2019 | down 352.6% | volatile |
| 119 | El Salvador | -1,333 | 2019 | up 30.7% | volatile |
| 120 | Cambodia | -1,603 | 2019 | down 2,079.0% | volatile |
| 121 | Malawi | -1,760 | 2019 | down 181.0% | volatile |
| 122 | North Macedonia | -2,059 | 2019 | down 723.9% | volatile |
| 123 | Bolivia | -2,347 | 2019 | down 116.8% | volatile |
| 124 | Nicaragua | -2,357 | 2019 | — | volatile |
| 125 | Suriname | -3,133 | 2017 | down 2,824.3% | volatile |
| 126 | Democratic Republic of Congo | -3,689 | 2019 | up 96.0% | volatile |
| 127 | Palestine | -3,870 | 2019 | down 872.5% | volatile |
| 128 | Georgia | -5,256 | 2019 | down 1,027.9% | volatile |
| 129 | Jordan | -5,746 | 2019 | down 50.8% | volatile |
| 130 | Belize | -6,964 | 2019 | down 27,756.0% | volatile |
| 131 | Slovenia | -7,971 | 2019 | down 1,500.9% | volatile |
| 132 | Mali | -10,547 | 2019 | down 11,120.2% | volatile |
| 133 | Cote d'Ivoire | -12,910 | 2019 | down 908.6% | volatile |
| 134 | Sudan | -13,278 | 2019 | — | volatile |
| 135 | Luxembourg | -13,489 | 2019 | down 1.6% | falling |
| 136 | Croatia | -23,108 | 2019 | down 351.8% | volatile |
| 137 | Ireland | -25,843 | 2019 | down 75.9% | volatile |
| 138 | Burkina Faso | -39,464 | 2019 | down 172.8% | volatile |
| 139 | Serbia | -46,667 | 2019 | down 278.7% | volatile |
| 140 | Syria | -48,200 | 2019 | down 105.1% | volatile |
| 141 | Moldova | -53,500 | 2019 | up 61.8% | volatile |
| 142 | Slovakia | -70,401 | 2019 | down 22.3% | volatile |
| 143 | Uruguay | -72,792 | 2019 | down 414.3% | volatile |
| 144 | Uzbekistan | -87,340 | 2019 | down 1,264.4% | volatile |
| 145 | United Arab Emirates | -102,430 | 2019 | down 158.1% | volatile |
| 146 | Finland | -109,191 | 2019 | down 81.3% | volatile |
| 147 | Laos | -181,141 | 2019 | down 48.2% | volatile |
| 148 | Czechia | -189,610 | 2019 | up 24.0% | volatile |
| 149 | Sweden | -191,742 | 2019 | up 1.7% | volatile |
| 150 | Latvia | -204,458 | 2019 | down 103.3% | volatile |
| 151 | Bulgaria | -266,339 | 2019 | up 35.5% | volatile |
| 152 | Lithuania | -290,968 | 2019 | down 54.0% | volatile |
| 153 | Hungary | -298,367 | 2019 | down 42.4% | volatile |
| 154 | Niger | -324,979 | 2019 | — | volatile |
| 155 | Estonia | -362,566 | 2019 | down 462.9% | volatile |
| 156 | Denmark | -483,770 | 2019 | down 124.7% | volatile |
| 157 | United Kingdom | -1.02 million | 2019 | down 2,932.6% | volatile |
| 158 | Romania | -1.04 million | 2019 | down 99.9% | volatile |
| 159 | Canada | -1.58 million | 2019 | down 36.3% | volatile |
| 160 | Kazakhstan | -1.60 million | 2019 | down 381.6% | volatile |
| 161 | Russia | -1.91 million | 2019 | up 24.4% | volatile |
| 162 | Ukraine | -2.35 million | 2019 | up 57.2% | volatile |
| 163 | Australia | -2.87 million | 2019 | up 11.7% | volatile |
| 164 | Paraguay | -2.98 million | 2019 | down 61.4% | volatile |
| 165 | France | -6.57 million | 2019 | down 61.0% | falling |
About this data
Net food imports are generated from FAOSTAT, taking Export level (tonnes) from the Import level (tonnes) [both under Trade: Crops and Livestock Products]. Net food imports are a proxy for the country's vulnerability to global food prices.