Net food imports by crop - Soybeans, gaps filled by country
Net food imports by crop - Soybeans with 65 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Countries reporting
165
Highest
91.29 million
China
Lowest
-6.57 million
France
Median
16
Years covered
59
1961–2019
Data points
6,691
What the numbers show
Net food imports by crop - Soybeans, gaps filled 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 294,674.0%), and the largest decrease in Belize (down 27,756.0%).
Net food imports by crop - Soybeans, gaps filled: 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 294,674.0% | 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 116.4% | 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 |
How this figure is calculated
Net food imports by crop - Soybeans with 65 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Net food imports by crop - Soybeans FAOSTAT. Available at: http://www.fao.org/faostat/en/#data
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Net food imports by crop - Soybeans with 65 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.