Net food imports by crop - Barley 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
157
Highest
5.96 million
China
Lowest
-7.08 million
France
Median
47
Years covered
59
1961–2019
Data points
6,776
What the numbers show
Net food imports by crop - Barley is currently reported for 157 countries. The highest value is 5.96 million in China; the lowest is -7.08 million in France.
The median across all reporting countries is 47, and the mean is -21,269.
Over the past decade 69 countries rose and 69 fell. The largest increase was in Ethiopia (up 62,672.0%), and the largest decrease in Bolivia (down 2,190,300.0%).
Net food imports by crop - Barley: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5.96 million | 2019 | up 233.6% | volatile |
| 2 | Saudi Arabia | 3.91 million | 2019 | down 34.5% | volatile |
| 3 | Iran | 3.29 million | 2019 | up 174.6% | volatile |
| 4 | Netherlands | 2.06 million | 2019 | up 43.8% | volatile |
| 5 | Belgium | 1.80 million | 2019 | up 23.3% | rising |
| 6 | Japan | 1.15 million | 2019 | down 17.5% | rising |
| 7 | Spain | 1.07 million | 2019 | down 28.8% | volatile |
| 8 | Jordan | 853,459 | 2019 | up 62.4% | volatile |
| 9 | Brazil | 671,336 | 2019 | up 47.3% | volatile |
| 10 | Libya | 565,549 | 2019 | down 19.7% | volatile |
| 11 | Tunisia | 542,347 | 2019 | up 727.0% | volatile |
| 12 | Turkey | 521,589 | 2019 | up 348.8% | volatile |
| 13 | Italy | 492,998 | 2019 | down 23.0% | falling |
| 14 | Morocco | 382,072 | 2019 | up 40.5% | volatile |
| 15 | Thailand | 360,713 | 2019 | up 3,488.1% | volatile |
| 16 | Kuwait | 330,398 | 2019 | up 25.1% | volatile |
| 17 | Portugal | 321,628 | 2019 | down 21.7% | volatile |
| 18 | Colombia | 316,592 | 2019 | up 53.4% | rising |
| 19 | Israel | 260,755 | 2019 | down 35.7% | volatile |
| 20 | India | 254,508 | 2019 | up 600.6% | volatile |
| 21 | Belarus | 224,763 | 2019 | up 8,508.3% | volatile |
| 22 | Qatar | 211,087 | 2018 | up 47.4% | volatile |
| 23 | United Arab Emirates | 197,824 | 2019 | up 8.3% | volatile |
| 24 | Oman | 180,662 | 2019 | up 773.8% | volatile |
| 25 | Austria | 173,320 | 2019 | up 61.1% | volatile |
| 26 | Cyprus | 133,575 | 2019 | down 51.7% | volatile |
| 27 | Poland | 132,033 | 2019 | up 58.8% | volatile |
| 28 | Algeria | 122,297 | 2019 | up 16.1% | volatile |
| 29 | Peru | 121,772 | 2019 | up 24.8% | volatile |
| 30 | Vietnam | 121,263 | 2019 | up 144.3% | volatile |
| 31 | Lebanon | 105,279 | 2019 | up 49.9% | volatile |
| 32 | Greece | 92,505 | 2019 | down 42.7% | volatile |
| 33 | Mexico | 87,956 | 2019 | up 8.8% | volatile |
| 34 | Ireland | 85,514 | 2019 | down 57.8% | volatile |
| 35 | South Korea | 67,625 | 2019 | up 158.0% | volatile |
| 36 | Chile | 52,120 | 2019 | down 23.7% | volatile |
| 37 | Palestine | 50,000 | 2019 | down 35.1% | falling |
| 38 | Switzerland | 48,751 | 2019 | up 58.8% | volatile |
| 39 | Slovakia | 46,804 | 2019 | up 198.0% | volatile |
| 40 | Iraq | 45,475 | 2019 | up 23,183.8% | volatile |
| 41 | Norway | 45,020 | 2019 | up 838.7% | volatile |
| 42 | Ecuador | 44,473 | 2019 | up 23.9% | volatile |
| 43 | Taiwan | 31,189 | 2019 | down 50.0% | volatile |
| 44 | Bosnia and Herzegovina | 28,567 | 2019 | up 27.8% | rising |
| 45 | Uganda | 24,843 | 2019 | up 1,792.1% | volatile |
| 46 | United States | 23,346 | 2019 | down 93.4% | volatile |
| 47 | Armenia | 23,322 | 2019 | up 440.9% | volatile |
| 48 | Ethiopia | 15,643 | 2019 | up 62,672.0% | volatile |
| 49 | Venezuela | 14,676 | 2015 | — | volatile |
| 50 | Iceland | 12,654 | 2019 | up 31.0% | rising |
| 51 | Slovenia | 9,980 | 2019 | down 51.2% | volatile |
| 52 | South Africa | 9,926 | 2019 | down 60.6% | volatile |
| 53 | Pakistan | 8,478 | 2019 | up 90.9% | volatile |
| 54 | Afghanistan | 8,442 | 2019 | down 62.5% | volatile |
| 55 | Malta | 8,277 | 2019 | down 66.3% | volatile |
| 56 | Philippines | 6,141 | 2019 | up 153.2% | volatile |
| 57 | Albania | 6,040 | 2019 | up 487.5% | volatile |
| 58 | Egypt | 5,495 | 2019 | up 200.2% | volatile |
| 59 | New Zealand | 5,414 | 2019 | up 25,881.0% | volatile |
| 60 | Malaysia | 5,207 | 2019 | up 28.7% | volatile |
| 61 | North Macedonia | 4,353 | 2019 | up 7,036.1% | volatile |
| 62 | Tajikistan | 3,200 | 2019 | down 42.4% | volatile |
| 63 | Nigeria | 2,466 | 2019 | up 331.1% | volatile |
| 64 | Bahrain | 1,702 | 2019 | up 192.4% | volatile |
| 65 | New Caledonia | 1,404 | 2018 | up 1,176.4% | volatile |
| 66 | Montenegro | 1,391 | 2019 | up 135.4% | rising |
| 67 | Nepal | 790 | 2019 | up 15,700.0% | volatile |
| 68 | Papua New Guinea | 499 | 2019 | — | volatile |
| 69 | Kyrgyzstan | 307 | 2019 | down 95.1% | volatile |
| 70 | Cameroon | 221 | 2017 | down 94.2% | volatile |
| 71 | Guatemala | 203 | 2019 | up 6,866.7% | volatile |
| 72 | Bangladesh | 202 | 2019 | — | volatile |
| 73 | Singapore | 196 | 2019 | down 55.0% | volatile |
| 74 | Rwanda | 189 | 2019 | up 800.0% | volatile |
| 75 | Myanmar | 183 | 2019 | down 92.7% | volatile |
| 76 | Namibia | 148 | 2019 | — | volatile |
| 77 | Mozambique | 96 | 2019 | up 100.6% | volatile |
| 78 | French Polynesia | 95 | 2018 | down 46.6% | volatile |
| 79 | Hong Kong | 47 | 2019 | up 27.0% | volatile |
| 80 | Barbados | 29 | 2019 | unchanged | volatile |
| 81 | Guyana | 21 | 2019 | up 162.5% | volatile |
| 82 | Sri Lanka | 7 | 2019 | down 63.2% | volatile |
| 83 | Indonesia | 4 | 2019 | down 84.6% | volatile |
| 84 | Macao | 3 | 2018 | down 86.4% | volatile |
| 85 | Cape Verde | 1 | 2017 | — | volatile |
| 85 | Fiji | 1 | 2019 | up 200.0% | volatile |
| 85 | Somalia | 1 | 2019 | up 104.0% | volatile |
| 85 | Seychelles | 1 | 2018 | up 150.0% | volatile |
| 89 | Bahamas | 0 | 2019 | up 100.0% | volatile |
| 89 | Dominica | 0 | 2013 | — | volatile |
| 89 | Eritrea | 0 | 2013 | up 100.0% | volatile |
| 89 | Gabon | 0 | 2013 | — | flat |
| 89 | Saint Lucia | 0 | 2019 | — | volatile |
| 89 | North Korea | 0 | 2017 | down 100.0% | volatile |
| 89 | Vanuatu | 0 | 2013 | — | volatile |
| 96 | Guinea-Bissau | -1 | 2019 | — | volatile |
| 97 | Bhutan | -5 | 2019 | down 200.0% | volatile |
| 98 | Costa Rica | -7 | 2019 | down 170.0% | volatile |
| 99 | South Sudan | -23 | 2015 | — | volatile |
| 100 | Dominican Republic | -35 | 2018 | down 100.9% | volatile |
| 101 | Saint Kitts and Nevis | -45 | 2019 | — | volatile |
| 102 | Mauritius | -50 | 2019 | down 13.6% | volatile |
| 103 | Brunei | -91 | 2019 | down 4,650.0% | volatile |
| 104 | Angola | -136 | 2019 | — | volatile |
| 105 | Jamaica | -188 | 2019 | down 1,466.7% | volatile |
| 106 | Lesotho | -199 | 2019 | down 1,047.6% | volatile |
| 107 | Ghana | -256 | 2019 | down 296.9% | volatile |
| 108 | Sao Tome and Principe | -350 | 2014 | down 34,900.0% | volatile |
| 109 | Eswatini | -424 | 2018 | — | volatile |
| 110 | Togo | -516 | 2013 | up 64.8% | volatile |
| 111 | Trinidad and Tobago | -560 | 2019 | — | volatile |
| 112 | Botswana | -571 | 2019 | down 19,133.3% | volatile |
| 113 | Honduras | -624 | 2019 | — | volatile |
| 114 | Madagascar | -652 | 2017 | up 39.1% | rising |
| 114 | Saint Vincent and the Grenadines | -652 | 2019 | up 80.2% | volatile |
| 116 | El Salvador | -1,375 | 2019 | up 43.6% | volatile |
| 117 | Panama | -1,416 | 2019 | down 20,128.6% | volatile |
| 118 | Cambodia | -1,867 | 2019 | down 46,775.0% | volatile |
| 119 | Malawi | -1,953 | 2019 | down 13,120.0% | volatile |
| 120 | Azerbaijan | -1,961 | 2019 | down 122.6% | volatile |
| 121 | Senegal | -2,261 | 2018 | down 99.6% | volatile |
| 122 | Democratic Republic of Congo | -3,645 | 2019 | up 96.0% | volatile |
| 123 | Georgia | -3,879 | 2019 | down 345.8% | volatile |
| 124 | Nicaragua | -4,374 | 2019 | — | volatile |
| 125 | Luxembourg | -8,379 | 2019 | up 20.6% | falling |
| 126 | Cote d'Ivoire | -13,815 | 2019 | down 978.5% | volatile |
| 127 | Bolivia | -21,904 | 2016 | down 2,190,300.0% | volatile |
| 128 | Kenya | -23,879 | 2019 | down 218.5% | volatile |
| 129 | Sudan | -24,433 | 2017 | — | volatile |
| 130 | Croatia | -26,738 | 2019 | down 290.3% | volatile |
| 131 | Uzbekistan | -32,460 | 2019 | down 170.7% | volatile |
| 132 | Syria | -36,563 | 2019 | down 106.2% | volatile |
| 133 | Serbia | -42,488 | 2019 | down 206.8% | volatile |
| 134 | Uruguay | -44,223 | 2019 | down 429.2% | volatile |
| 135 | Moldova | -53,082 | 2019 | up 64.8% | volatile |
| 136 | Czechia | -102,693 | 2019 | up 60.1% | volatile |
| 137 | Sweden | -110,683 | 2019 | up 36.3% | volatile |
| 138 | Finland | -132,591 | 2019 | down 102.6% | volatile |
| 139 | Latvia | -175,215 | 2019 | down 90.5% | volatile |
| 140 | Laos | -179,567 | 2019 | down 223.7% | volatile |
| 141 | Tanzania | -191,837 | 2018 | down 833,974.0% | volatile |
| 142 | Lithuania | -248,870 | 2019 | down 36.0% | volatile |
| 143 | Bulgaria | -265,577 | 2019 | up 36.1% | volatile |
| 144 | Germany | -312,491 | 2019 | down 1,742.4% | volatile |
| 145 | Estonia | -347,814 | 2019 | down 458.4% | volatile |
| 146 | Hungary | -399,553 | 2019 | down 109.7% | volatile |
| 147 | Denmark | -418,662 | 2019 | down 215.3% | volatile |
| 148 | Romania | -975,471 | 2019 | down 96.6% | volatile |
| 149 | Kazakhstan | -1.60 million | 2019 | down 456.5% | volatile |
| 150 | United Kingdom | -1.61 million | 2019 | down 117.8% | volatile |
| 151 | Canada | -2.14 million | 2019 | down 39.5% | volatile |
| 152 | Ukraine | -2.34 million | 2019 | up 57.4% | volatile |
| 153 | Argentina | -2.51 million | 2019 | down 147.6% | volatile |
| 154 | Paraguay | -2.83 million | 2013 | down 251.0% | volatile |
| 155 | Australia | -2.87 million | 2019 | up 11.6% | volatile |
| 156 | Russia | -3.91 million | 2019 | down 13.0% | volatile |
| 157 | France | -7.08 million | 2019 | down 50.8% | 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.