Net food imports by crop - Rice, husked 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
167
Highest
285,890
South Korea
Lowest
-7.07 million
France
Median
3
Years covered
59
1961–2019
Data points
5,950
What the numbers show
Net food imports by crop - Rice, husked is currently reported for 167 countries. The highest value is 285,890 in South Korea; the lowest is -7.07 million in France.
The median across all reporting countries is 3, and the mean is -192,176.
Over the past decade 70 countries rose and 85 fell. The largest increase was in Cameroon (up 294,275.0%), and the largest decrease in Uruguay (down 255,683.0%).
Net food imports by crop - Rice, husked: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | South Korea | 285,890 | 2019 | up 44.7% | volatile |
| 2 | Brazil | 262,230 | 2019 | up 23.4% | volatile |
| 3 | Cameroon | 141,300 | 2019 | up 294,275.0% | volatile |
| 4 | Portugal | 96,975 | 2019 | up 110.8% | volatile |
| 5 | Netherlands | 88,509 | 2019 | up 2,239.0% | volatile |
| 6 | Italy | 83,806 | 2019 | up 117.9% | volatile |
| 7 | Saudi Arabia | 69,897 | 2019 | up 1,356.2% | volatile |
| 8 | Guinea | 58,872 | 2019 | up 1,947.7% | volatile |
| 9 | Nigeria | 48,588 | 2019 | up 32.6% | volatile |
| 10 | China | 43,672 | 2019 | up 13,059.1% | volatile |
| 11 | Taiwan | 40,353 | 2019 | up 383.8% | volatile |
| 12 | Uganda | 37,699 | 2019 | up 19,139.9% | volatile |
| 13 | Palestine | 30,600 | 2019 | down 66.0% | volatile |
| 14 | Burundi | 16,936 | 2019 | up 221.1% | rising |
| 15 | Togo | 12,400 | 2019 | down 50.0% | volatile |
| 16 | Trinidad and Tobago | 11,800 | 2018 | down 17.8% | rising |
| 17 | Bhutan | 11,785 | 2015 | up 196,517.0% | volatile |
| 18 | Sri Lanka | 10,752 | 2018 | down 37.1% | volatile |
| 19 | Singapore | 9,370 | 2019 | up 241.0% | volatile |
| 20 | Switzerland | 9,343 | 2019 | down 16.4% | falling |
| 21 | Jamaica | 8,113 | 2019 | down 83.2% | volatile |
| 22 | Greece | 7,380 | 2019 | up 260.5% | volatile |
| 23 | Nepal | 7,023 | 2019 | up 12,669.1% | volatile |
| 24 | Japan | 6,435 | 2019 | down 23.1% | volatile |
| 25 | Angola | 5,801 | 2019 | up 4,134.3% | volatile |
| 26 | Panama | 5,219 | 2019 | up 157.5% | volatile |
| 27 | Bangladesh | 5,117 | 2019 | — | volatile |
| 28 | Honduras | 4,644 | 2019 | down 63.5% | volatile |
| 29 | Democratic Republic of Congo | 4,359 | 2019 | up 104.8% | volatile |
| 30 | Iran | 4,293 | 2018 | up 1,267.2% | volatile |
| 31 | New Caledonia | 4,122 | 2018 | down 55.8% | falling |
| 32 | Barbados | 3,919 | 2019 | up 43.9% | falling |
| 33 | Algeria | 3,814 | 2017 | down 17.4% | volatile |
| 34 | Hong Kong | 3,401 | 2019 | up 509.5% | volatile |
| 35 | Tanzania | 2,933 | 2019 | up 903.6% | volatile |
| 36 | Philippines | 2,649 | 2019 | up 175.7% | volatile |
| 37 | Costa Rica | 2,450 | 2019 | up 331.3% | volatile |
| 38 | New Zealand | 2,308 | 2019 | up 113.3% | volatile |
| 39 | Saint Lucia | 1,791 | 2019 | down 25.2% | falling |
| 40 | South Africa | 1,787 | 2019 | up 330.9% | volatile |
| 41 | Haiti | 1,730 | 2019 | down 83.2% | volatile |
| 42 | Saint Vincent and the Grenadines | 1,712 | 2019 | down 36.0% | volatile |
| 43 | Grenada | 1,612 | 2018 | — | volatile |
| 44 | Papua New Guinea | 1,457 | 2019 | up 435.7% | volatile |
| 45 | Malaysia | 1,268 | 2019 | down 67.3% | volatile |
| 46 | Israel | 910 | 2019 | up 120.1% | volatile |
| 47 | Madagascar | 899 | 2019 | up 209.6% | volatile |
| 48 | Liberia | 720 | 2019 | down 85.1% | volatile |
| 49 | Benin | 624 | 2019 | up 92.6% | volatile |
| 50 | Bosnia and Herzegovina | 618 | 2019 | up 2,476.9% | volatile |
| 51 | Cambodia | 552 | 2019 | — | volatile |
| 52 | Albania | 546 | 2019 | down 67.9% | volatile |
| 53 | Sao Tome and Principe | 543 | 2014 | down 87.0% | volatile |
| 54 | Venezuela | 528 | 2017 | — | volatile |
| 55 | Dominica | 476 | 2017 | down 58.2% | falling |
| 56 | Eswatini | 383 | 2019 | up 6,283.3% | volatile |
| 57 | Bahamas | 357 | 2019 | up 676.1% | volatile |
| 58 | Cyprus | 315 | 2019 | down 38.8% | volatile |
| 59 | Chile | 290 | 2019 | up 148.7% | volatile |
| 60 | Qatar | 269 | 2018 | down 21.1% | volatile |
| 61 | South Sudan | 266 | 2018 | — | volatile |
| 62 | Kuwait | 193 | 2019 | down 81.6% | volatile |
| 63 | Samoa | 184 | 2019 | up 836.0% | volatile |
| 64 | Egypt | 152 | 2019 | up 102.7% | volatile |
| 65 | Iceland | 147 | 2019 | up 107.0% | rising |
| 66 | Mexico | 126 | 2019 | up 384.6% | volatile |
| 67 | Dominican Republic | 121 | 2019 | up 102.3% | volatile |
| 68 | Armenia | 110 | 2019 | down 98.7% | volatile |
| 69 | Oman | 78 | 2019 | up 134.4% | volatile |
| 70 | Montenegro | 58 | 2019 | up 176.2% | volatile |
| 71 | Thailand | 54 | 2019 | down 35.7% | volatile |
| 72 | Mozambique | 45 | 2019 | up 100.3% | volatile |
| 73 | Somalia | 36 | 2019 | down 94.6% | volatile |
| 74 | Guyana | 32 | 2019 | down 63.2% | volatile |
| 75 | Kyrgyzstan | 31 | 2019 | down 99.8% | volatile |
| 76 | French Polynesia | 27 | 2018 | up 575.0% | volatile |
| 77 | Central African Republic | 25 | 2013 | up 1,150.0% | volatile |
| 78 | Macao | 24 | 2018 | down 78.6% | volatile |
| 79 | Morocco | 22 | 2019 | up 633.3% | volatile |
| 80 | Bahrain | 18 | 2019 | down 88.7% | volatile |
| 81 | Brunei | 14 | 2019 | up 133.3% | volatile |
| 82 | Colombia | 12 | 2019 | — | volatile |
| 83 | Guatemala | 3 | 2019 | up 200.0% | volatile |
| 83 | Seychelles | 3 | 2018 | up 250.0% | volatile |
| 85 | Cape Verde | 1 | 2017 | down 96.8% | volatile |
| 85 | Gabon | 1 | 2019 | — | volatile |
| 85 | Indonesia | 1 | 2018 | down 99.0% | volatile |
| 85 | Vanuatu | 1 | 2013 | — | volatile |
| 89 | Fiji | 0 | 2019 | down 100.0% | volatile |
| 90 | Malta | -7 | 2019 | down 130.4% | volatile |
| 91 | Turkmenistan | -17 | 2019 | up 99.9% | volatile |
| 92 | Namibia | -29 | 2019 | down 119.0% | volatile |
| 93 | Lesotho | -34 | 2019 | down 187.2% | volatile |
| 94 | Senegal | -43 | 2017 | up 96.9% | volatile |
| 95 | Ecuador | -46 | 2019 | up 91.4% | volatile |
| 96 | Peru | -47 | 2013 | down 135.0% | volatile |
| 97 | Tajikistan | -50 | 2019 | up 95.7% | volatile |
| 98 | Mauritius | -67 | 2019 | down 113.5% | volatile |
| 99 | Gambia | -74 | 2018 | down 100.5% | volatile |
| 100 | Rwanda | -82 | 2019 | down 156.9% | volatile |
| 101 | Norway | -89 | 2019 | down 161.8% | volatile |
| 102 | Congo | -117 | 2019 | up 92.2% | volatile |
| 103 | Comoros | -125 | 2018 | — | volatile |
| 104 | Lebanon | -162 | 2019 | up 94.1% | volatile |
| 105 | Myanmar | -200 | 2019 | up 100.0% | volatile |
| 106 | Ghana | -218 | 2019 | down 1,576.9% | volatile |
| 107 | Tunisia | -363 | 2019 | — | volatile |
| 108 | Ethiopia | -366 | 2019 | down 223.6% | volatile |
| 109 | Botswana | -544 | 2019 | down 771.6% | volatile |
| 110 | Belarus | -751 | 2019 | down 3,365.2% | volatile |
| 111 | El Salvador | -1,350 | 2019 | up 44.7% | volatile |
| 112 | India | -1,586 | 2019 | up 96.9% | volatile |
| 113 | Malawi | -1,852 | 2019 | down 61,833.3% | volatile |
| 114 | Suriname | -3,090 | 2019 | down 1,550.7% | volatile |
| 115 | Libya | -3,187 | 2019 | down 24,615.4% | volatile |
| 116 | North Macedonia | -3,460 | 2019 | — | volatile |
| 117 | Georgia | -4,278 | 2019 | down 264.2% | volatile |
| 118 | Nicaragua | -4,374 | 2019 | down 679.3% | volatile |
| 119 | Bolivia | -6,249 | 2019 | down 89,371.4% | volatile |
| 120 | Jordan | -6,759 | 2019 | down 73.9% | volatile |
| 121 | Pakistan | -6,770 | 2018 | up 4.0% | volatile |
| 122 | Mali | -6,806 | 2019 | down 1,005.0% | volatile |
| 123 | Belize | -7,080 | 2019 | down 8,145.4% | volatile |
| 124 | Luxembourg | -12,912 | 2019 | up 9.8% | falling |
| 125 | Cote d'Ivoire | -13,841 | 2019 | down 991.6% | volatile |
| 126 | Slovenia | -14,063 | 2019 | down 619.0% | volatile |
| 127 | Azerbaijan | -14,236 | 2019 | down 326.5% | volatile |
| 128 | Sudan | -15,995 | 2017 | — | volatile |
| 129 | Burkina Faso | -22,207 | 2019 | down 55.8% | volatile |
| 130 | Poland | -22,377 | 2019 | up 60.9% | volatile |
| 131 | Kenya | -23,989 | 2019 | down 1,769.8% | volatile |
| 132 | Belgium | -28,175 | 2019 | down 29.6% | volatile |
| 133 | Turkey | -32,740 | 2019 | up 88.9% | volatile |
| 134 | Croatia | -36,353 | 2019 | down 595.4% | volatile |
| 135 | Serbia | -46,985 | 2019 | down 205.7% | volatile |
| 136 | Austria | -49,501 | 2019 | up 18.9% | volatile |
| 137 | Ireland | -49,534 | 2019 | down 31.0% | volatile |
| 138 | Syria | -52,323 | 2019 | down 171.8% | volatile |
| 139 | Moldova | -53,499 | 2019 | up 64.9% | volatile |
| 140 | Spain | -58,191 | 2019 | down 244.6% | volatile |
| 141 | Uruguay | -74,177 | 2019 | down 255,683.0% | volatile |
| 142 | Slovakia | -76,565 | 2019 | down 17.9% | volatile |
| 143 | United States | -77,860 | 2019 | up 4.3% | volatile |
| 144 | Vietnam | -97,293 | 2019 | down 26.2% | volatile |
| 145 | United Arab Emirates | -100,524 | 2019 | down 1,039.3% | volatile |
| 146 | Finland | -131,831 | 2019 | down 102.7% | volatile |
| 147 | Laos | -167,260 | 2019 | down 37.1% | volatile |
| 148 | Latvia | -204,671 | 2019 | down 87.2% | volatile |
| 149 | Czechia | -210,307 | 2019 | up 22.2% | volatile |
| 150 | Sweden | -213,012 | 2019 | down 5.5% | volatile |
| 151 | Bulgaria | -234,491 | 2019 | up 43.6% | volatile |
| 152 | Niger | -275,617 | 2019 | down 2,182.5% | volatile |
| 153 | Lithuania | -291,922 | 2019 | down 54.7% | volatile |
| 154 | Estonia | -362,303 | 2019 | down 462.3% | volatile |
| 155 | Hungary | -419,687 | 2019 | down 87.5% | volatile |
| 156 | Denmark | -515,585 | 2019 | down 67.6% | volatile |
| 157 | Romania | -1.09 million | 2019 | down 103.1% | volatile |
| 158 | United Kingdom | -1.39 million | 2019 | down 117.6% | volatile |
| 159 | Germany | -1.52 million | 2019 | down 43.7% | volatile |
| 160 | Kazakhstan | -1.64 million | 2019 | down 390.5% | volatile |
| 161 | Canada | -2.13 million | 2019 | down 40.6% | volatile |
| 162 | Ukraine | -2.35 million | 2019 | up 57.2% | falling |
| 163 | Argentina | -2.52 million | 2019 | down 148.8% | volatile |
| 164 | Australia | -2.87 million | 2019 | up 11.6% | volatile |
| 165 | Paraguay | -2.99 million | 2019 | down 60.2% | volatile |
| 166 | Russia | -3.94 million | 2019 | down 12.9% | volatile |
| 167 | France | -7.07 million | 2019 | down 53.8% | 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.