Net food imports by crop - Wheat 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
174
Highest
10.96 million
Indonesia
Lowest
-6.87 million
France
Median
205,435
Years covered
59
1961–2019
Data points
7,821
What the numbers show
Net food imports by crop - Wheat is currently reported for 174 countries. The highest value is 10.96 million in Indonesia; the lowest is -6.87 million in France.
The median across all reporting countries is 205,435, and the mean is 823,082.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 105 countries rose and 57 fell. The largest increase was in Nepal (up 13,920.4%), and the largest decrease in Niger (down 3,110.0%).
Net food imports by crop - Wheat: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 10.96 million | 2019 | up 135.5% | volatile |
| 2 | Egypt | 10.42 million | 2019 | up 14.4% | volatile |
| 3 | Turkey | 9.96 million | 2019 | up 222.4% | volatile |
| 4 | Italy | 7.47 million | 2019 | up 15.4% | volatile |
| 5 | Philippines | 7.15 million | 2019 | up 133.2% | volatile |
| 6 | Algeria | 6.78 million | 2019 | up 18.5% | volatile |
| 7 | Brazil | 6.58 million | 2019 | up 20.8% | volatile |
| 8 | Japan | 5.33 million | 2019 | up 13.4% | rising |
| 9 | Netherlands | 5.17 million | 2019 | up 6.4% | volatile |
| 10 | Spain | 5.14 million | 2019 | down 19.5% | volatile |
| 11 | Mexico | 4.80 million | 2019 | up 73.0% | volatile |
| 12 | Nigeria | 4.66 million | 2019 | up 22.5% | volatile |
| 13 | Bangladesh | 4.60 million | 2019 | up 90.4% | rising |
| 14 | China | 4.56 million | 2019 | up 115.0% | volatile |
| 15 | Morocco | 3.84 million | 2019 | up 60.8% | volatile |
| 16 | South Korea | 3.75 million | 2019 | down 1.6% | volatile |
| 17 | Belgium | 3.66 million | 2019 | up 7.8% | rising |
| 18 | Saudi Arabia | 3.10 million | 2019 | up 138.3% | volatile |
| 19 | Thailand | 2.70 million | 2019 | up 144.2% | volatile |
| 20 | Vietnam | 2.66 million | 2019 | up 92.4% | volatile |
| 21 | Sudan | 2.10 million | 2019 | — | volatile |
| 22 | Uzbekistan | 2.08 million | 2019 | up 118.4% | rising |
| 23 | Peru | 2.01 million | 2019 | up 33.0% | rising |
| 24 | Kenya | 1.97 million | 2019 | up 153.0% | volatile |
| 25 | Colombia | 1.91 million | 2019 | up 41.6% | rising |
| 26 | Tunisia | 1.85 million | 2019 | up 50.0% | volatile |
| 27 | South Africa | 1.82 million | 2019 | up 38.8% | volatile |
| 28 | United States | 1.72 million | 2019 | down 31.4% | volatile |
| 29 | Germany | 1.61 million | 2019 | down 44.3% | volatile |
| 30 | Azerbaijan | 1.57 million | 2019 | up 68.5% | rising |
| 31 | Venezuela | 1.56 million | 2017 | up 6.2% | rising |
| 32 | Malaysia | 1.39 million | 2019 | up 39.3% | volatile |
| 33 | Taiwan | 1.35 million | 2019 | up 9.0% | rising |
| 34 | Portugal | 1.34 million | 2019 | down 14.3% | volatile |
| 35 | Ethiopia | 1.31 million | 2019 | down 24.8% | rising |
| 36 | Israel | 1.22 million | 2019 | down 32.3% | volatile |
| 37 | Ecuador | 1.18 million | 2019 | up 141.9% | rising |
| 38 | United Arab Emirates | 1.16 million | 2019 | down 11.6% | volatile |
| 39 | Chile | 1.16 million | 2019 | up 68.1% | volatile |
| 40 | Tajikistan | 1.06 million | 2019 | up 157.7% | volatile |
| 41 | Greece | 1.04 million | 2019 | up 14.5% | volatile |
| 42 | Sri Lanka | 971,948 | 2019 | down 8.0% | volatile |
| 43 | Jordan | 844,420 | 2019 | up 37.6% | volatile |
| 44 | Austria | 843,728 | 2019 | up 95.4% | volatile |
| 45 | Tanzania | 832,978 | 2019 | up 0.9% | volatile |
| 46 | Cameroon | 784,677 | 2019 | up 101.0% | volatile |
| 47 | Lebanon | 754,884 | 2019 | up 41.2% | rising |
| 48 | Senegal | 706,119 | 2019 | up 68.7% | volatile |
| 49 | Oman | 691,047 | 2019 | up 296.0% | volatile |
| 50 | Mozambique | 678,434 | 2019 | up 64.0% | volatile |
| 51 | Cote d'Ivoire | 636,662 | 2019 | up 41.5% | volatile |
| 52 | Guatemala | 630,922 | 2019 | up 42.1% | volatile |
| 53 | Ghana | 605,454 | 2019 | up 131.8% | rising |
| 54 | Dominican Republic | 601,073 | 2019 | up 53.0% | volatile |
| 55 | Libya | 592,739 | 2019 | down 65.0% | volatile |
| 56 | Kuwait | 587,752 | 2019 | up 60.7% | volatile |
| 57 | Iraq | 570,588 | 2019 | down 77.5% | volatile |
| 58 | Georgia | 508,386 | 2019 | down 1.2% | falling |
| 59 | Poland | 471,017 | 2019 | down 14.1% | volatile |
| 60 | Angola | 451,391 | 2019 | — | volatile |
| 61 | Myanmar | 436,162 | 2019 | up 240.8% | volatile |
| 62 | New Zealand | 430,325 | 2019 | up 67.3% | volatile |
| 63 | Uganda | 430,179 | 2019 | up 4.2% | rising |
| 64 | Norway | 406,372 | 2019 | up 34.1% | flat |
| 65 | Guinea | 395,726 | 2019 | up 630.5% | volatile |
| 66 | Afghanistan | 391,541 | 2019 | down 38.6% | volatile |
| 67 | Switzerland | 390,786 | 2019 | up 3.7% | falling |
| 68 | Belarus | 331,570 | 2019 | up 796.1% | volatile |
| 69 | El Salvador | 328,041 | 2019 | up 45.4% | volatile |
| 70 | Bosnia and Herzegovina | 324,556 | 2019 | up 2.3% | rising |
| 71 | Mali | 288,119 | 2019 | up 223.9% | volatile |
| 72 | Syria | 275,076 | 2019 | down 83.4% | volatile |
| 73 | Costa Rica | 273,494 | 2019 | up 8.6% | volatile |
| 74 | Honduras | 269,715 | 2019 | up 23.7% | rising |
| 75 | Latvia | 267,165 | 2019 | down 26.0% | volatile |
| 76 | Qatar | 250,830 | 2018 | up 124.9% | volatile |
| 77 | Armenia | 248,155 | 2019 | down 34.1% | flat |
| 78 | Turkmenistan | 243,679 | 2019 | up 1,103.7% | volatile |
| 79 | Ireland | 240,076 | 2019 | down 33.3% | volatile |
| 80 | Albania | 236,251 | 2019 | down 11.6% | volatile |
| 81 | Papua New Guinea | 233,655 | 2019 | up 67.6% | rising |
| 82 | Mongolia | 232,000 | 2018 | — | volatile |
| 83 | North Korea | 229,485 | 2019 | up 33.8% | volatile |
| 84 | Democratic Republic of Congo | 226,809 | 2019 | up 21.0% | volatile |
| 85 | Haiti | 211,013 | 2019 | up 20.8% | volatile |
| 86 | Jamaica | 207,926 | 2019 | up 6.9% | volatile |
| 87 | Slovenia | 207,179 | 2019 | up 74.2% | volatile |
| 88 | Congo | 203,691 | 2019 | up 228.7% | rising |
| 89 | Kyrgyzstan | 202,708 | 2019 | down 40.6% | rising |
| 90 | Singapore | 201,761 | 2019 | up 9.9% | volatile |
| 91 | Palestine | 190,000 | 2019 | up 26.7% | volatile |
| 92 | Fiji | 177,754 | 2019 | up 91.5% | rising |
| 93 | Rwanda | 176,480 | 2019 | up 575.2% | volatile |
| 94 | Nepal | 158,711 | 2019 | up 13,920.4% | volatile |
| 95 | Panama | 151,265 | 2019 | up 35.1% | rising |
| 96 | Mauritius | 150,609 | 2019 | down 9.4% | volatile |
| 97 | Iran | 138,744 | 2019 | down 97.5% | volatile |
| 98 | Bahrain | 132,467 | 2019 | up 108.6% | volatile |
| 99 | Namibia | 128,908 | 2019 | up 847.8% | rising |
| 100 | Nicaragua | 122,099 | 2019 | up 12.7% | rising |
| 101 | Burundi | 118,514 | 2019 | up 384.0% | volatile |
| 102 | Luxembourg | 117,632 | 2019 | up 164.6% | volatile |
| 103 | Malawi | 115,890 | 2019 | down 19.4% | volatile |
| 104 | Trinidad and Tobago | 108,615 | 2019 | down 6.1% | flat |
| 105 | Botswana | 101,746 | 2019 | up 319.7% | rising |
| 106 | Gabon | 101,016 | 2019 | up 10.2% | rising |
| 107 | North Macedonia | 100,936 | 2019 | up 97.0% | volatile |
| 108 | Burkina Faso | 93,023 | 2019 | up 62.8% | volatile |
| 109 | Croatia | 86,011 | 2019 | up 1,809.3% | volatile |
| 110 | Togo | 80,706 | 2019 | up 10.3% | volatile |
| 111 | Sweden | 64,216 | 2019 | up 166.6% | volatile |
| 112 | Cyprus | 61,760 | 2019 | down 44.0% | volatile |
| 113 | Madagascar | 59,234 | 2019 | up 144.0% | volatile |
| 114 | Bolivia | 56,231 | 2019 | down 8.2% | volatile |
| 115 | Eswatini | 48,214 | 2019 | up 99.7% | rising |
| 116 | Iceland | 38,154 | 2019 | up 4.7% | rising |
| 117 | Liberia | 36,100 | 2019 | up 6.2% | volatile |
| 118 | Gambia | 35,735 | 2018 | — | volatile |
| 119 | Chad | 30,000 | 2019 | up 15.4% | volatile |
| 120 | Benin | 29,723 | 2019 | up 119.3% | volatile |
| 121 | New Caledonia | 29,330 | 2018 | up 8.9% | volatile |
| 122 | Eritrea | 28,352 | 2014 | down 92.3% | volatile |
| 123 | Saint Vincent and the Grenadines | 23,977 | 2019 | up 29.7% | rising |
| 124 | Lesotho | 20,576 | 2019 | down 79.0% | volatile |
| 125 | Malta | 20,393 | 2019 | down 17.7% | falling |
| 126 | Barbados | 19,935 | 2019 | up 8.0% | volatile |
| 127 | Cape Verde | 19,717 | 2017 | down 16.7% | volatile |
| 128 | Cambodia | 18,789 | 2019 | down 11.4% | volatile |
| 129 | Grenada | 13,294 | 2018 | — | volatile |
| 130 | Suriname | 13,200 | 2019 | down 15.0% | rising |
| 131 | Montenegro | 9,476 | 2019 | down 76.1% | falling |
| 132 | Somalia | 6,871 | 2019 | — | volatile |
| 133 | Belize | 6,471 | 2019 | down 67.4% | volatile |
| 134 | Guyana | 5,504 | 2019 | down 89.0% | falling |
| 135 | Hong Kong | 4,973 | 2019 | up 56.4% | volatile |
| 136 | Bhutan | 4,876 | 2019 | down 5.7% | volatile |
| 137 | French Polynesia | 1,999 | 2018 | up 117.0% | volatile |
| 138 | Seychelles | 564 | 2018 | up 146.3% | rising |
| 139 | Antigua and Barbuda | 1 | 2019 | — | volatile |
| 140 | Bahamas | 0 | 2019 | up 100.0% | flat |
| 140 | Central African Republic | 0 | 2013 | — | volatile |
| 140 | Dominica | 0 | 2017 | up 100.0% | volatile |
| 140 | Saint Lucia | 0 | 2019 | down 100.0% | volatile |
| 140 | Vanuatu | 0 | 2013 | — | volatile |
| 145 | Saint Kitts and Nevis | -1 | 2016 | — | volatile |
| 145 | Macao | -1 | 2018 | down 150.0% | volatile |
| 147 | Pakistan | -9 | 2017 | down 100.0% | volatile |
| 147 | South Sudan | -9 | 2018 | — | volatile |
| 149 | Brunei | -76 | 2019 | down 860.0% | volatile |
| 150 | Comoros | -124 | 2018 | — | volatile |
| 151 | India | -195 | 2019 | down 100.2% | volatile |
| 152 | Slovakia | -36,456 | 2019 | down 230.7% | volatile |
| 153 | Serbia | -46,542 | 2019 | down 208.4% | volatile |
| 154 | Moldova | -52,454 | 2019 | up 65.3% | volatile |
| 155 | Uruguay | -73,597 | 2019 | down 343.3% | volatile |
| 156 | Finland | -118,366 | 2019 | down 231.7% | volatile |
| 157 | Lithuania | -121,315 | 2019 | up 18.9% | volatile |
| 158 | Czechia | -171,922 | 2019 | up 26.8% | volatile |
| 159 | Laos | -181,242 | 2019 | up 22.0% | volatile |
| 160 | Bulgaria | -210,982 | 2019 | up 46.2% | volatile |
| 161 | Romania | -269,939 | 2019 | down 415.6% | volatile |
| 162 | Denmark | -301,150 | 2019 | down 400.2% | volatile |
| 163 | Niger | -308,468 | 2019 | down 3,110.0% | volatile |
| 164 | Hungary | -317,357 | 2019 | down 92.2% | volatile |
| 165 | Estonia | -349,395 | 2019 | down 666.7% | volatile |
| 166 | United Kingdom | -456,037 | 2019 | down 187.5% | volatile |
| 167 | Kazakhstan | -1.30 million | 2019 | down 405.8% | volatile |
| 168 | Canada | -1.97 million | 2019 | down 34.5% | volatile |
| 169 | Ukraine | -2.31 million | 2019 | up 57.9% | volatile |
| 170 | Australia | -2.38 million | 2019 | up 26.6% | volatile |
| 171 | Argentina | -2.52 million | 2019 | down 148.8% | volatile |
| 172 | Paraguay | -2.99 million | 2019 | down 60.2% | volatile |
| 173 | Russia | -3.75 million | 2019 | down 10.4% | volatile |
| 174 | France | -6.87 million | 2019 | down 57.8% | 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.