Net food imports by crop - Rice, broken 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
790,036
Senegal
Lowest
-7.05 million
France
Median
161
Years covered
59
1961–2019
Data points
5,714
What the numbers show
Net food imports by crop - Rice, broken is currently reported for 167 countries. The highest value is 790,036 in Senegal; the lowest is -7.05 million in France.
The median across all reporting countries is 161, and the mean is -165,782.
Over the past decade 75 countries rose and 80 fell. The largest increase was in Bhutan (up 90,046.2%), and the largest decrease in Belize (down 237,333.0%).
Net food imports by crop - Rice, broken: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Senegal | 790,036 | 2019 | up 3.1% | rising |
| 2 | Ghana | 644,052 | 2019 | up 38.6% | rising |
| 3 | China | 506,720 | 2019 | up 785.2% | volatile |
| 4 | Indonesia | 462,340 | 2019 | up 330.9% | volatile |
| 5 | Burkina Faso | 421,867 | 2019 | up 423.0% | volatile |
| 6 | Benin | 338,879 | 2019 | up 16,989.2% | volatile |
| 7 | Ethiopia | 283,560 | 2019 | up 7,781.0% | volatile |
| 8 | Cote d'Ivoire | 269,001 | 2019 | up 5.7% | volatile |
| 9 | Gambia | 205,262 | 2018 | up 171.8% | volatile |
| 10 | Togo | 181,923 | 2019 | up 1,057.5% | volatile |
| 11 | Mali | 89,528 | 2019 | up 0.6% | volatile |
| 12 | Uganda | 78,699 | 2019 | up 57.6% | volatile |
| 13 | Guinea-Bissau | 73,137 | 2019 | up 16.9% | volatile |
| 14 | Switzerland | 66,273 | 2019 | up 8.9% | volatile |
| 15 | Afghanistan | 64,712 | 2019 | down 31.1% | falling |
| 16 | Philippines | 51,810 | 2019 | up 177.2% | volatile |
| 17 | Belgium | 49,908 | 2019 | up 409.7% | volatile |
| 18 | Cameroon | 47,455 | 2019 | up 690.8% | volatile |
| 19 | South Africa | 39,700 | 2019 | up 420.0% | volatile |
| 20 | Nepal | 36,039 | 2019 | up 838.8% | volatile |
| 21 | Guinea | 34,104 | 2019 | up 356.7% | volatile |
| 22 | Sri Lanka | 28,997 | 2019 | up 9,533.5% | volatile |
| 23 | Chile | 27,597 | 2019 | up 30.7% | volatile |
| 24 | Liberia | 25,135 | 2019 | up 2,085.7% | volatile |
| 25 | Bhutan | 23,438 | 2019 | up 90,046.2% | volatile |
| 26 | Papua New Guinea | 22,693 | 2019 | up 139.5% | volatile |
| 27 | Japan | 20,247 | 2019 | down 76.4% | volatile |
| 28 | Bangladesh | 19,654 | 2018 | up 614.7% | volatile |
| 29 | Mauritius | 17,497 | 2019 | up 12,309.2% | volatile |
| 30 | Italy | 16,653 | 2019 | down 8.9% | volatile |
| 31 | South Sudan | 15,526 | 2018 | — | volatile |
| 32 | Singapore | 14,994 | 2019 | down 13.2% | volatile |
| 33 | El Salvador | 12,950 | 2019 | up 173.3% | volatile |
| 34 | Thailand | 12,165 | 2019 | up 5,282.7% | volatile |
| 35 | Angola | 10,220 | 2019 | up 1,036.8% | volatile |
| 36 | Malaysia | 9,813 | 2019 | down 63.8% | volatile |
| 37 | Jamaica | 9,582 | 2019 | up 84.8% | volatile |
| 38 | Guatemala | 8,317 | 2019 | up 168.3% | volatile |
| 39 | Nigeria | 8,295 | 2014 | down 74.3% | volatile |
| 40 | Congo | 8,238 | 2019 | up 6,236.9% | volatile |
| 41 | Egypt | 8,163 | 2019 | up 201.5% | volatile |
| 42 | Namibia | 8,131 | 2019 | up 225.2% | volatile |
| 43 | Mexico | 7,841 | 2019 | up 227.0% | volatile |
| 44 | Madagascar | 7,836 | 2019 | up 338.7% | volatile |
| 45 | Lesotho | 7,523 | 2019 | up 165.2% | volatile |
| 46 | Rwanda | 6,706 | 2019 | up 6.2% | volatile |
| 47 | Hong Kong | 6,402 | 2019 | down 4.4% | volatile |
| 48 | Brazil | 5,569 | 2019 | up 208.5% | volatile |
| 49 | Democratic Republic of Congo | 4,328 | 2019 | up 106.0% | volatile |
| 50 | Tajikistan | 3,559 | 2019 | up 2,099.4% | volatile |
| 51 | Botswana | 3,143 | 2019 | down 59.1% | falling |
| 52 | Mozambique | 2,344 | 2019 | down 55.3% | volatile |
| 53 | Somalia | 2,315 | 2019 | up 22.2% | volatile |
| 54 | Fiji | 2,237 | 2019 | up 329.4% | rising |
| 55 | Trinidad and Tobago | 1,927 | 2019 | down 58.2% | volatile |
| 56 | Lebanon | 1,664 | 2019 | up 162.6% | volatile |
| 57 | Iran | 1,567 | 2016 | up 34.6% | volatile |
| 58 | New Zealand | 1,554 | 2019 | down 22.1% | volatile |
| 59 | Vanuatu | 1,500 | 2013 | up 1,315.1% | volatile |
| 60 | Myanmar | 1,486 | 2019 | — | volatile |
| 61 | Saudi Arabia | 1,400 | 2019 | down 27.6% | volatile |
| 62 | Oman | 1,377 | 2019 | up 1,192.9% | volatile |
| 63 | Comoros | 1,040 | 2013 | up 19.7% | volatile |
| 64 | Dominican Republic | 1,039 | 2019 | up 115.5% | volatile |
| 65 | Bahamas | 1,000 | 2017 | — | flat |
| 66 | Sudan | 962 | 2018 | — | volatile |
| 67 | Bahrain | 898 | 2019 | down 17.0% | volatile |
| 68 | Taiwan | 823 | 2019 | down 71.9% | volatile |
| 69 | Tanzania | 718 | 2019 | down 97.3% | volatile |
| 70 | Belarus | 710 | 2019 | down 66.2% | volatile |
| 71 | Grenada | 543 | 2016 | — | volatile |
| 71 | Israel | 543 | 2019 | up 109.9% | volatile |
| 73 | Armenia | 490 | 2019 | down 35.0% | volatile |
| 74 | Kyrgyzstan | 480 | 2019 | — | volatile |
| 75 | Dominica | 463 | 2017 | up 23,050.0% | volatile |
| 76 | Qatar | 369 | 2018 | down 70.1% | volatile |
| 77 | Gabon | 312 | 2019 | — | volatile |
| 78 | Malta | 261 | 2019 | down 33.4% | volatile |
| 79 | Barbados | 226 | 2019 | up 6.1% | volatile |
| 80 | Eswatini | 211 | 2019 | — | volatile |
| 81 | Algeria | 205 | 2018 | down 85.8% | volatile |
| 82 | Kuwait | 190 | 2019 | down 82.5% | volatile |
| 83 | Albania | 172 | 2019 | down 96.0% | volatile |
| 84 | Macao | 161 | 2018 | up 631.8% | volatile |
| 85 | Morocco | 143 | 2019 | — | volatile |
| 86 | Saint Lucia | 141 | 2019 | up 487.5% | volatile |
| 87 | Peru | 136 | 2016 | down 96.7% | volatile |
| 88 | Norway | 115 | 2019 | down 74.2% | volatile |
| 89 | Venezuela | 43 | 2017 | up 258.3% | volatile |
| 90 | Seychelles | 39 | 2018 | up 39.3% | volatile |
| 91 | Cyprus | 37 | 2019 | up 2.8% | volatile |
| 92 | Haiti | 13 | 2019 | down 99.9% | volatile |
| 93 | Burundi | 12 | 2019 | up 300.0% | volatile |
| 94 | Iceland | 6 | 2019 | down 85.4% | volatile |
| 95 | Samoa | 4 | 2019 | down 99.9% | volatile |
| 96 | Bosnia and Herzegovina | 1 | 2019 | up 100.5% | volatile |
| 97 | Central African Republic | 0 | 2013 | down 100.0% | volatile |
| 97 | Colombia | 0 | 2013 | down 100.0% | volatile |
| 97 | Cape Verde | 0 | 2013 | down 100.0% | volatile |
| 97 | Pakistan | 0 | 2019 | up 100.0% | volatile |
| 97 | Palestine | 0 | 2013 | up 100.0% | volatile |
| 102 | New Caledonia | -13 | 2016 | down 1,400.0% | volatile |
| 103 | Guyana | -15 | 2019 | down 137.5% | volatile |
| 104 | Montenegro | -23 | 2019 | down 130.0% | volatile |
| 105 | French Polynesia | -25 | 2016 | down 2,600.0% | volatile |
| 106 | Costa Rica | -33 | 2019 | down 155.0% | volatile |
| 107 | Brunei | -70 | 2019 | — | volatile |
| 108 | South Korea | -83 | 2019 | down 101.3% | volatile |
| 109 | Jordan | -198 | 2013 | down 126.4% | volatile |
| 110 | Saint Vincent and the Grenadines | -233 | 2019 | up 93.6% | volatile |
| 111 | Honduras | -350 | 2019 | down 114.0% | volatile |
| 112 | Panama | -634 | 2019 | down 721.6% | volatile |
| 113 | North Korea | -1,034 | 2018 | — | volatile |
| 114 | India | -1,198 | 2019 | up 97.7% | volatile |
| 115 | Greece | -1,253 | 2019 | down 1,888.9% | volatile |
| 116 | North Macedonia | -1,755 | 2016 | down 1,190.4% | volatile |
| 117 | Cambodia | -1,838 | 2019 | down 114.3% | volatile |
| 118 | Malawi | -1,851 | 2019 | down 4,213.3% | volatile |
| 119 | Nicaragua | -3,118 | 2019 | down 149.9% | volatile |
| 120 | Suriname | -3,295 | 2018 | down 5,781.0% | volatile |
| 121 | Libya | -3,357 | 2019 | down 47,857.1% | volatile |
| 122 | Georgia | -5,227 | 2019 | down 7,567.1% | volatile |
| 123 | Tunisia | -5,556 | 2015 | — | volatile |
| 124 | Belize | -7,123 | 2019 | down 237,333.0% | volatile |
| 125 | Luxembourg | -13,613 | 2019 | up 6.7% | falling |
| 126 | Slovenia | -14,179 | 2019 | down 499.8% | volatile |
| 127 | Azerbaijan | -16,030 | 2019 | down 32,614.3% | volatile |
| 128 | Kenya | -17,266 | 2019 | down 110.9% | volatile |
| 129 | Portugal | -21,480 | 2019 | up 41.1% | volatile |
| 130 | Bolivia | -22,271 | 2016 | down 171,415.0% | volatile |
| 131 | Netherlands | -31,891 | 2019 | up 52.8% | volatile |
| 132 | Croatia | -36,510 | 2019 | down 564.3% | volatile |
| 133 | Uruguay | -40,840 | 2014 | down 47.0% | volatile |
| 134 | Turkey | -40,990 | 2019 | up 86.4% | volatile |
| 135 | Serbia | -45,744 | 2019 | down 191.0% | volatile |
| 136 | Ireland | -49,121 | 2019 | down 31.7% | volatile |
| 137 | Austria | -50,799 | 2019 | up 17.5% | volatile |
| 138 | Syria | -52,474 | 2019 | down 77,267.6% | volatile |
| 139 | Moldova | -52,663 | 2019 | up 65.4% | volatile |
| 140 | Poland | -53,766 | 2019 | up 15.6% | volatile |
| 141 | Slovakia | -76,647 | 2019 | down 17.1% | volatile |
| 142 | United States | -87,113 | 2019 | down 154.3% | volatile |
| 143 | Vietnam | -88,802 | 2019 | down 1,731.3% | volatile |
| 144 | United Arab Emirates | -94,810 | 2019 | down 1,586.1% | volatile |
| 145 | Spain | -125,318 | 2019 | down 653.0% | volatile |
| 146 | Finland | -131,670 | 2019 | down 106.8% | volatile |
| 147 | Laos | -159,636 | 2019 | down 32.3% | volatile |
| 148 | Czechia | -195,927 | 2019 | up 27.8% | volatile |
| 149 | Latvia | -204,806 | 2019 | down 86.5% | volatile |
| 150 | Sweden | -217,266 | 2019 | down 6.1% | volatile |
| 151 | Bulgaria | -266,282 | 2019 | up 35.6% | volatile |
| 152 | Lithuania | -289,297 | 2019 | down 54.0% | volatile |
| 153 | Niger | -322,033 | 2019 | down 995.7% | volatile |
| 154 | Estonia | -362,568 | 2019 | down 461.4% | volatile |
| 155 | Hungary | -415,561 | 2019 | down 90.4% | volatile |
| 156 | Denmark | -521,736 | 2019 | down 69.6% | volatile |
| 157 | Romania | -1.12 million | 2019 | down 108.6% | volatile |
| 158 | Germany | -1.53 million | 2019 | down 35.9% | volatile |
| 159 | United Kingdom | -1.53 million | 2019 | down 111.4% | volatile |
| 160 | Argentina | -1.54 million | 2015 | down 375.3% | volatile |
| 161 | Kazakhstan | -1.64 million | 2019 | down 388.9% | volatile |
| 162 | Canada | -2.15 million | 2019 | down 38.8% | volatile |
| 163 | Ukraine | -2.34 million | 2019 | up 57.2% | falling |
| 164 | Australia | -2.86 million | 2019 | up 11.4% | volatile |
| 165 | Paraguay | -2.99 million | 2019 | down 60.2% | volatile |
| 166 | Russia | -3.92 million | 2019 | down 12.3% | volatile |
| 167 | France | -7.05 million | 2019 | down 52.3% | 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.