Net food imports by crop - Rice, milled 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.
What the numbers show
Net food imports by crop - Rice, milled is currently reported for 178 countries. The highest value is 2.96 million in Philippines; the lowest is -6.81 million in France.
The median across all reporting countries is 18,658, and the mean is -15,880.
Over the past decade 111 countries rose and 61 fell. The largest increase was in Venezuela (up 34,709.6%), and the largest decrease in Uruguay (down 477,980.0%).
Net food imports by crop - Rice, milled: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Philippines | 2.96 million | 2019 | up 68.8% | volatile |
| 2 | China | 2.39 million | 2019 | up 253.0% | volatile |
| 3 | Iran | 1.42 million | 2019 | up 82.2% | volatile |
| 4 | Saudi Arabia | 1.32 million | 2019 | up 5.0% | volatile |
| 5 | Iraq | 1.29 million | 2019 | up 55.3% | volatile |
| 6 | Benin | 1.19 million | 2019 | up 77.0% | volatile |
| 7 | Cote d'Ivoire | 1.04 million | 2019 | up 20.9% | volatile |
| 8 | Malaysia | 957,967 | 2019 | down 9.2% | volatile |
| 9 | Mozambique | 943,721 | 2019 | up 105.4% | volatile |
| 10 | South Africa | 917,854 | 2019 | up 25.9% | volatile |
| 11 | Nigeria | 798,588 | 2019 | down 29.2% | volatile |
| 12 | United States | 770,146 | 2019 | up 83.9% | volatile |
| 13 | Japan | 667,675 | 2013 | up 15.6% | volatile |
| 14 | Cameroon | 643,038 | 2019 | up 38.8% | volatile |
| 15 | Kenya | 576,511 | 2019 | up 325.3% | volatile |
| 16 | United Arab Emirates | 561,676 | 2019 | down 49.4% | volatile |
| 17 | Egypt | 484,716 | 2019 | up 10,186.8% | volatile |
| 18 | Haiti | 472,644 | 2019 | up 19.3% | volatile |
| 19 | Somalia | 453,417 | 2019 | up 107.9% | volatile |
| 20 | Ghana | 442,860 | 2019 | up 146.8% | volatile |
| 21 | Guinea | 439,255 | 2019 | up 93.4% | volatile |
| 22 | Ethiopia | 416,319 | 2019 | up 1,601.1% | volatile |
| 23 | Madagascar | 397,844 | 2019 | up 275.4% | volatile |
| 24 | Nepal | 395,768 | 2019 | up 308.7% | volatile |
| 25 | Brazil | 392,127 | 2019 | up 3.8% | volatile |
| 26 | Angola | 380,545 | 2019 | up 65.3% | volatile |
| 27 | Sri Lanka | 369,997 | 2019 | up 434.4% | volatile |
| 28 | Turkey | 369,626 | 2019 | up 358.4% | volatile |
| 29 | Hong Kong | 307,137 | 2019 | down 7.8% | flat |
| 30 | Singapore | 298,067 | 2019 | up 15.5% | volatile |
| 31 | Peru | 292,732 | 2019 | up 220.6% | volatile |
| 32 | Mexico | 268,563 | 2019 | up 236.2% | volatile |
| 33 | Kuwait | 258,282 | 2019 | up 39.1% | volatile |
| 34 | Liberia | 257,301 | 2019 | up 6.1% | volatile |
| 35 | Oman | 255,772 | 2019 | up 74.7% | volatile |
| 36 | Jordan | 199,767 | 2019 | up 23.1% | volatile |
| 37 | Qatar | 193,957 | 2018 | up 47.3% | volatile |
| 38 | Democratic Republic of Congo | 190,654 | 2019 | up 604.5% | volatile |
| 39 | Tanzania | 186,737 | 2019 | up 1,376.8% | volatile |
| 40 | Israel | 177,667 | 2019 | up 74.8% | volatile |
| 41 | Papua New Guinea | 164,026 | 2019 | up 2.3% | flat |
| 42 | North Korea | 161,149 | 2019 | up 41.0% | volatile |
| 43 | Afghanistan | 139,966 | 2019 | up 379.8% | volatile |
| 44 | Libya | 137,759 | 2019 | up 1,644.9% | volatile |
| 45 | Chile | 127,440 | 2019 | up 31.8% | volatile |
| 46 | Algeria | 124,587 | 2019 | up 87.8% | volatile |
| 47 | Venezuela | 112,087 | 2017 | up 34,709.6% | volatile |
| 48 | Rwanda | 105,413 | 2019 | up 310.8% | volatile |
| 49 | Colombia | 102,428 | 2019 | up 76.0% | volatile |
| 50 | Senegal | 100,332 | 2019 | up 3,590.0% | volatile |
| 51 | Sudan | 90,001 | 2019 | β | volatile |
| 52 | East Timor | 88,659 | 2018 | β | volatile |
| 53 | Lebanon | 85,117 | 2019 | up 82.0% | volatile |
| 54 | Syria | 80,456 | 2019 | down 48.7% | volatile |
| 55 | Bahrain | 75,775 | 2019 | up 29.4% | volatile |
| 56 | Congo | 74,063 | 2019 | up 67.7% | rising |
| 57 | Taiwan | 73,919 | 2019 | down 1.8% | volatile |
| 58 | Jamaica | 60,904 | 2019 | up 591.3% | volatile |
| 59 | Italy | 59,293 | 2019 | up 168.0% | volatile |
| 60 | Gabon | 59,112 | 2019 | down 12.2% | rising |
| 61 | Costa Rica | 51,484 | 2019 | up 635.9% | volatile |
| 62 | New Zealand | 49,293 | 2019 | up 27.1% | volatile |
| 63 | Comoros | 47,174 | 2018 | up 32.4% | rising |
| 64 | Guinea-Bissau | 45,256 | 2019 | up 101.1% | volatile |
| 65 | Netherlands | 44,999 | 2019 | up 178.0% | volatile |
| 66 | Bangladesh | 44,827 | 2019 | up 215.7% | volatile |
| 67 | Switzerland | 43,515 | 2019 | up 30.7% | volatile |
| 68 | South Korea | 42,090 | 2019 | down 33.5% | volatile |
| 69 | Uganda | 41,499 | 2019 | up 40.6% | volatile |
| 70 | Brunei | 39,447 | 2019 | up 2.0% | rising |
| 71 | Mongolia | 38,455 | 2018 | β | volatile |
| 72 | Mauritius | 37,046 | 2019 | down 53.1% | falling |
| 73 | Morocco | 36,513 | 2019 | up 237.1% | volatile |
| 74 | Tajikistan | 35,609 | 2019 | up 271.0% | volatile |
| 75 | Cape Verde | 35,537 | 2017 | up 11.1% | volatile |
| 76 | Fiji | 35,444 | 2019 | up 39.3% | flat |
| 77 | Eswatini | 35,200 | 2019 | up 85.3% | rising |
| 78 | Macao | 34,077 | 2018 | up 34.9% | rising |
| 79 | Botswana | 30,024 | 2019 | up 233.8% | rising |
| 80 | Azerbaijan | 27,098 | 2019 | up 86.9% | volatile |
| 81 | Palestine | 25,600 | 2019 | up 27.5% | volatile |
| 82 | Central African Republic | 25,230 | 2015 | up 5,245.3% | volatile |
| 83 | Norway | 24,243 | 2019 | up 8.9% | volatile |
| 84 | Belarus | 24,050 | 2019 | down 4.3% | volatile |
| 85 | Dominican Republic | 23,552 | 2019 | down 27.9% | volatile |
| 86 | Tunisia | 22,520 | 2019 | up 140.5% | volatile |
| 87 | Greece | 20,249 | 2019 | up 33.5% | volatile |
| 88 | Togo | 18,837 | 2019 | down 57.8% | volatile |
| 89 | Albania | 18,830 | 2019 | up 44.7% | volatile |
| 90 | Cambodia | 18,485 | 2019 | up 167.2% | volatile |
| 91 | Panama | 16,289 | 2019 | up 1,110.2% | volatile |
| 92 | Mali | 15,482 | 2019 | down 20.1% | volatile |
| 93 | Trinidad and Tobago | 13,633 | 2019 | up 221.5% | falling |
| 94 | Bhutan | 13,056 | 2019 | down 75.6% | volatile |
| 95 | Honduras | 11,942 | 2019 | down 14.3% | rising |
| 96 | Thailand | 11,921 | 2019 | down 41.4% | volatile |
| 97 | Samoa | 11,585 | 2019 | up 2,380.7% | volatile |
| 98 | Bolivia | 11,391 | 2019 | down 27.1% | volatile |
| 99 | Namibia | 11,357 | 2019 | up 967.4% | volatile |
| 100 | Poland | 11,152 | 2019 | up 1,434.0% | volatile |
| 101 | Kyrgyzstan | 11,073 | 2019 | down 34.4% | volatile |
| 102 | Armenia | 10,495 | 2019 | up 384.3% | volatile |
| 103 | French Polynesia | 9,999 | 2018 | down 13.5% | volatile |
| 104 | Guatemala | 9,388 | 2019 | up 37.5% | volatile |
| 105 | Indonesia | 9,023 | 2019 | down 93.4% | volatile |
| 106 | Bahamas | 8,043 | 2019 | up 709.2% | rising |
| 107 | Cyprus | 8,040 | 2019 | up 63.4% | volatile |
| 108 | Seychelles | 7,769 | 2018 | up 8.9% | rising |
| 109 | Sao Tome and Principe | 7,120 | 2014 | up 12.6% | rising |
| 110 | Bosnia and Herzegovina | 6,612 | 2019 | up 22.0% | rising |
| 111 | Slovenia | 5,949 | 2019 | up 3.9% | volatile |
| 112 | South Sudan | 5,567 | 2018 | β | volatile |
| 113 | Chad | 5,020 | 2019 | up 559.7% | volatile |
| 114 | Georgia | 4,964 | 2019 | down 14.8% | volatile |
| 115 | Lesotho | 4,949 | 2019 | up 40.1% | volatile |
| 116 | Turkmenistan | 4,904 | 2019 | down 75.9% | volatile |
| 117 | Malawi | 4,042 | 2019 | down 39.3% | volatile |
| 118 | Malta | 3,521 | 2019 | up 90.6% | volatile |
| 119 | Nicaragua | 3,364 | 2019 | down 72.1% | volatile |
| 120 | India | 2,955 | 2019 | up 105.8% | volatile |
| 121 | Portugal | 2,781 | 2019 | up 110.9% | volatile |
| 122 | Vanuatu | 1,897 | 2013 | down 85.4% | volatile |
| 123 | New Caledonia | 1,567 | 2018 | down 25.4% | volatile |
| 124 | Montenegro | 1,325 | 2019 | up 16.3% | rising |
| 125 | Iceland | 1,302 | 2019 | up 21.6% | rising |
| 126 | Saint Lucia | 1,136 | 2019 | up 44.2% | rising |
| 127 | Saint Kitts and Nevis | 867 | 2019 | up 27.1% | rising |
| 128 | Barbados | 586 | 2019 | down 81.7% | volatile |
| 129 | Eritrea | 363 | 2014 | up 584.9% | volatile |
| 130 | Ecuador | 183 | 2019 | up 142.6% | volatile |
| 131 | Dominica | 129 | 2017 | up 745.0% | volatile |
| 132 | Pakistan | 54 | 2019 | down 96.8% | volatile |
| 133 | Grenada | 52 | 2018 | β | volatile |
| 134 | Antigua and Barbuda | 44 | 2019 | β | falling |
| 135 | Guyana | 22 | 2019 | down 62.7% | volatile |
| 136 | Burundi | 12 | 2019 | down 99.7% | volatile |
| 137 | Gambia | -69 | 2018 | down 100.4% | volatile |
| 138 | El Salvador | -285 | 2019 | down 104.0% | volatile |
| 139 | Saint Vincent and the Grenadines | -651 | 2019 | up 81.7% | volatile |
| 140 | North Macedonia | -3,090 | 2019 | down 8,023.1% | volatile |
| 141 | Suriname | -3,283 | 2019 | down 2,858.8% | volatile |
| 142 | Belize | -6,802 | 2019 | down 8,497.5% | volatile |
| 143 | Burkina Faso | -7,898 | 2019 | down 105.3% | volatile |
| 144 | Luxembourg | -11,342 | 2019 | up 4.5% | falling |
| 145 | Austria | -15,930 | 2019 | up 59.5% | volatile |
| 146 | Croatia | -25,440 | 2019 | down 540.6% | volatile |
| 147 | Ireland | -30,769 | 2019 | down 17.2% | volatile |
| 148 | Serbia | -40,841 | 2019 | down 1,411.0% | volatile |
| 149 | Moldova | -44,723 | 2019 | up 68.9% | volatile |
| 150 | Slovakia | -47,831 | 2019 | down 16.2% | volatile |
| 151 | Uzbekistan | -55,687 | 2019 | down 2,010.4% | volatile |
| 152 | Uruguay | -71,712 | 2019 | down 477,980.0% | volatile |
| 153 | Spain | -73,590 | 2019 | down 6,500.0% | volatile |
| 154 | Vietnam | -84,869 | 2019 | down 16,296.4% | volatile |
| 155 | Finland | -106,330 | 2019 | down 139.1% | volatile |
| 156 | Laos | -124,562 | 2019 | up 34.2% | volatile |
| 157 | Niger | -124,864 | 2019 | down 187.7% | volatile |
| 158 | Myanmar | -127,203 | 2018 | down 257.0% | volatile |
| 159 | Czechia | -143,664 | 2019 | up 34.9% | volatile |
| 160 | Sweden | -157,125 | 2019 | up 4.4% | volatile |
| 161 | Latvia | -197,965 | 2019 | down 87.2% | volatile |
| 162 | Bulgaria | -244,085 | 2019 | up 37.7% | volatile |
| 163 | Belgium | -246,482 | 2013 | down 41.6% | falling |
| 164 | Lithuania | -277,434 | 2019 | down 55.6% | volatile |
| 165 | Estonia | -359,240 | 2019 | down 481.0% | volatile |
| 166 | Hungary | -379,654 | 2019 | down 99.1% | volatile |
| 167 | Denmark | -489,650 | 2019 | down 74.9% | volatile |
| 168 | Romania | -1.09 million | 2019 | down 112.1% | volatile |
| 169 | United Kingdom | -1.42 million | 2019 | down 123.0% | volatile |
| 170 | Kazakhstan | -1.62 million | 2019 | down 431.9% | volatile |
| 171 | Canada | -1.72 million | 2019 | down 35.1% | volatile |
| 172 | Germany | -2.15 million | 2017 | up 17.7% | volatile |
| 173 | Ukraine | -2.28 million | 2019 | up 58.1% | volatile |
| 174 | Argentina | -2.51 million | 2019 | down 149.7% | volatile |
| 175 | Australia | -2.68 million | 2019 | up 12.7% | volatile |
| 176 | Paraguay | -2.99 million | 2019 | down 60.2% | volatile |
| 177 | Russia | -3.73 million | 2019 | down 15.2% | volatile |
| 178 | France | -6.81 million | 2019 | down 53.0% | 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.