Net food imports by crop - Rice, paddy 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
168
Highest
720,308
Mexico
Lowest
-7.16 million
France
Median
-26
Years covered
59
1961–2019
Data points
6,315
What the numbers show
Net food imports by crop - Rice, paddy is currently reported for 168 countries. The highest value is 720,308 in Mexico; the lowest is -7.16 million in France.
The median across all reporting countries is -26, and the mean is -188,029.
Over the past decade 62 countries rose and 87 fell. The largest increase was in Venezuela (up 294,860.0%), and the largest decrease in Suriname (down 164,700.0%).
Net food imports by crop - Rice, paddy: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mexico | 720,308 | 2019 | down 2.5% | volatile |
| 2 | Venezuela | 554,524 | 2017 | up 294,860.0% | volatile |
| 3 | Nepal | 234,511 | 2019 | up 6,731.1% | volatile |
| 4 | Costa Rica | 148,192 | 2019 | up 34.6% | volatile |
| 5 | Honduras | 144,812 | 2019 | up 14.8% | rising |
| 6 | Colombia | 128,753 | 2019 | up 105.1% | volatile |
| 7 | Nicaragua | 115,367 | 2019 | up 13.6% | volatile |
| 8 | Guatemala | 108,982 | 2019 | up 49.9% | volatile |
| 9 | Brazil | 91,430 | 2019 | up 11.3% | volatile |
| 10 | El Salvador | 72,885 | 2019 | up 11.4% | volatile |
| 11 | Turkey | 60,017 | 2019 | up 125.2% | volatile |
| 12 | Libya | 53,186 | 2019 | up 104.2% | rising |
| 13 | Bangladesh | 50,998 | 2019 | up 27.5% | volatile |
| 14 | Italy | 45,372 | 2019 | up 41.5% | volatile |
| 15 | Panama | 42,750 | 2019 | up 146.6% | volatile |
| 16 | Philippines | 27,643 | 2019 | up 945.9% | volatile |
| 17 | China | 22,828 | 2019 | up 1,523.2% | volatile |
| 18 | Saudi Arabia | 11,765 | 2019 | down 83.6% | volatile |
| 19 | Uganda | 10,999 | 2019 | up 12,889.5% | volatile |
| 20 | Pakistan | 10,474 | 2019 | up 409.4% | volatile |
| 21 | Sudan | 4,864 | 2017 | — | volatile |
| 22 | Jamaica | 4,780 | 2019 | down 73.0% | volatile |
| 23 | East Timor | 2,904 | 2017 | — | volatile |
| 24 | Morocco | 2,028 | 2019 | up 40.3% | volatile |
| 25 | Portugal | 1,779 | 2019 | up 105.9% | volatile |
| 26 | Namibia | 1,694 | 2019 | — | volatile |
| 27 | Oman | 1,464 | 2018 | up 16,166.7% | volatile |
| 28 | Ethiopia | 1,220 | 2018 | up 501.0% | volatile |
| 29 | Algeria | 1,000 | 2019 | up 16.3% | volatile |
| 30 | Dominica | 918 | 2017 | up 3,772.0% | volatile |
| 31 | Senegal | 514 | 2019 | down 77.8% | volatile |
| 32 | Armenia | 351 | 2019 | up 8,675.0% | volatile |
| 33 | Vanuatu | 341 | 2013 | up 63.9% | volatile |
| 34 | Kuwait | 204 | 2019 | down 78.9% | volatile |
| 35 | Bahrain | 136 | 2019 | down 78.8% | volatile |
| 36 | Indonesia | 124 | 2019 | down 97.9% | volatile |
| 37 | Cyprus | 80 | 2019 | up 122.2% | volatile |
| 38 | Angola | 72 | 2019 | down 81.0% | volatile |
| 39 | Bhutan | 71 | 2019 | down 95.9% | volatile |
| 40 | Fiji | 59 | 2019 | up 6,000.0% | volatile |
| 41 | Qatar | 58 | 2018 | up 103.5% | volatile |
| 42 | New Zealand | 48 | 2019 | up 223.1% | volatile |
| 43 | Iceland | 43 | 2019 | down 79.6% | falling |
| 44 | Iraq | 30 | 2019 | up 115.7% | volatile |
| 45 | Dominican Republic | 19 | 2019 | up 1,800.0% | volatile |
| 46 | Brunei | 17 | 2019 | — | volatile |
| 47 | Papua New Guinea | 15 | 2019 | — | volatile |
| 48 | Guinea | 14 | 2019 | down 94.7% | volatile |
| 49 | Liberia | 11 | 2019 | down 62.1% | volatile |
| 50 | Chile | 8 | 2019 | up 101.2% | volatile |
| 50 | Seychelles | 8 | 2018 | down 63.6% | volatile |
| 52 | Mozambique | 5 | 2019 | up 100.1% | volatile |
| 53 | Syria | 4 | 2019 | down 99.8% | volatile |
| 54 | Bahamas | 3 | 2019 | down 99.8% | volatile |
| 54 | Macao | 3 | 2018 | down 85.7% | volatile |
| 54 | Somalia | 3 | 2018 | — | volatile |
| 57 | Cape Verde | 2 | 2017 | up 100.0% | volatile |
| 57 | Gabon | 2 | 2018 | — | volatile |
| 57 | Guyana | 2 | 2019 | up 300.0% | volatile |
| 57 | South Sudan | 2 | 2018 | — | volatile |
| 57 | Taiwan | 2 | 2019 | up 300.0% | volatile |
| 62 | Burundi | 1 | 2019 | down 100.0% | volatile |
| 62 | Barbados | 1 | 2019 | — | volatile |
| 62 | Samoa | 1 | 2019 | down 99.9% | volatile |
| 65 | Benin | 0 | 2019 | down 100.0% | volatile |
| 65 | Bosnia and Herzegovina | 0 | 2019 | down 100.0% | volatile |
| 65 | Comoros | 0 | 2013 | down 100.0% | volatile |
| 65 | Grenada | 0 | 1991 | — | volatile |
| 65 | Japan | 0 | 2014 | — | volatile |
| 65 | Saint Lucia | 0 | 2019 | — | volatile |
| 71 | Israel | -1 | 2019 | up 100.0% | volatile |
| 71 | French Polynesia | -1 | 2018 | — | volatile |
| 73 | Egypt | -2 | 2019 | up 100.0% | volatile |
| 73 | Hong Kong | -2 | 2019 | up 33.3% | volatile |
| 73 | Haiti | -2 | 2018 | — | volatile |
| 73 | Sri Lanka | -2 | 2019 | down 150.0% | volatile |
| 77 | Botswana | -5 | 2019 | down 100.1% | volatile |
| 77 | Cameroon | -5 | 2018 | — | volatile |
| 79 | Thailand | -7 | 2019 | down 102.3% | volatile |
| 80 | Niger | -10 | 2017 | down 100.4% | volatile |
| 81 | Albania | -17 | 2019 | down 100.5% | volatile |
| 82 | Lesotho | -19 | 2019 | down 100.6% | volatile |
| 83 | Togo | -21 | 2018 | down 102.0% | volatile |
| 84 | Mauritius | -24 | 2019 | down 108.7% | volatile |
| 85 | Montenegro | -28 | 2019 | down 212.0% | volatile |
| 85 | Peru | -28 | 2018 | down 21.7% | volatile |
| 87 | Malta | -37 | 2019 | down 628.6% | volatile |
| 88 | Ecuador | -45 | 2018 | down 103.8% | volatile |
| 89 | Madagascar | -52 | 2019 | up 93.2% | volatile |
| 89 | South Africa | -52 | 2019 | down 100.7% | volatile |
| 91 | South Korea | -83 | 2019 | up 11.7% | volatile |
| 92 | Rwanda | -86 | 2019 | down 176.8% | volatile |
| 93 | Gambia | -96 | 2018 | down 100.9% | volatile |
| 94 | Singapore | -105 | 2018 | up 17.3% | volatile |
| 95 | Lebanon | -107 | 2018 | up 96.5% | volatile |
| 96 | Tanzania | -108 | 2019 | up 73.1% | volatile |
| 97 | Malaysia | -115 | 2019 | up 21.2% | volatile |
| 98 | Congo | -125 | 2019 | up 90.0% | volatile |
| 99 | Eswatini | -212 | 2019 | down 105.0% | volatile |
| 100 | Ghana | -213 | 2019 | down 826.1% | volatile |
| 101 | Sao Tome and Principe | -304 | 2014 | down 7,700.0% | volatile |
| 102 | Belarus | -306 | 2017 | down 595.5% | volatile |
| 103 | Kyrgyzstan | -345 | 2018 | down 109.9% | volatile |
| 104 | Central African Republic | -351 | 2015 | — | volatile |
| 105 | Iran | -353 | 2019 | down 3,109.1% | volatile |
| 106 | Switzerland | -385 | 2019 | down 654.9% | volatile |
| 107 | Trinidad and Tobago | -561 | 2019 | down 552.4% | volatile |
| 108 | Tunisia | -619 | 2017 | down 15,575.0% | volatile |
| 109 | Saint Vincent and the Grenadines | -652 | 2019 | up 81.2% | volatile |
| 110 | Greece | -688 | 2019 | down 115.8% | volatile |
| 111 | Norway | -722 | 2019 | down 2,589.7% | volatile |
| 112 | Afghanistan | -1,087 | 2019 | down 6.8% | volatile |
| 113 | Tajikistan | -1,092 | 2014 | up 70.3% | volatile |
| 114 | Nigeria | -1,348 | 2019 | down 601.1% | volatile |
| 115 | Cambodia | -1,373 | 2019 | — | volatile |
| 116 | India | -1,820 | 2019 | up 96.4% | volatile |
| 117 | Malawi | -1,935 | 2019 | — | volatile |
| 118 | North Macedonia | -3,266 | 2019 | down 163,400.0% | volatile |
| 119 | Suriname | -3,296 | 2019 | down 164,700.0% | volatile |
| 120 | Democratic Republic of Congo | -3,682 | 2019 | up 96.0% | volatile |
| 121 | Georgia | -4,597 | 2019 | down 1,129.1% | volatile |
| 122 | Belize | -6,744 | 2019 | down 67,340.0% | volatile |
| 123 | Jordan | -6,774 | 2019 | down 74.2% | volatile |
| 124 | Bolivia | -8,765 | 2018 | down 12,621.4% | volatile |
| 125 | Mali | -10,789 | 2019 | down 8,012.0% | volatile |
| 126 | Azerbaijan | -12,661 | 2019 | down 1,953.7% | volatile |
| 127 | Luxembourg | -13,682 | 2019 | up 7.2% | falling |
| 128 | Cote d'Ivoire | -13,950 | 2019 | down 989.8% | volatile |
| 129 | Slovenia | -14,672 | 2019 | down 516.5% | volatile |
| 130 | Kenya | -23,083 | 2019 | down 1,695.0% | volatile |
| 131 | Croatia | -36,705 | 2019 | down 568.3% | volatile |
| 132 | Burkina Faso | -39,713 | 2019 | down 483.9% | volatile |
| 133 | Serbia | -47,549 | 2019 | down 200.6% | volatile |
| 134 | Ireland | -49,988 | 2019 | down 54.1% | volatile |
| 135 | Austria | -51,029 | 2019 | up 21.3% | volatile |
| 136 | Moldova | -53,519 | 2019 | up 65.0% | volatile |
| 137 | Uruguay | -73,850 | 2019 | down 9,389.3% | volatile |
| 138 | Slovakia | -76,939 | 2019 | down 24.0% | volatile |
| 139 | Poland | -81,865 | 2019 | down 18.2% | volatile |
| 140 | Vietnam | -90,890 | 2019 | down 69.5% | volatile |
| 141 | Netherlands | -91,697 | 2019 | up 23.4% | volatile |
| 142 | United Arab Emirates | -102,415 | 2019 | down 1,200.2% | volatile |
| 143 | Uzbekistan | -103,890 | 2019 | down 30,366.3% | volatile |
| 144 | Latvia | -116,546 | 2018 | down 6.2% | volatile |
| 145 | United States | -118,852 | 2019 | up 1.2% | volatile |
| 146 | Myanmar | -127,161 | 2018 | — | volatile |
| 147 | Finland | -132,496 | 2019 | down 107.4% | volatile |
| 148 | Spain | -146,044 | 2019 | down 503.0% | volatile |
| 149 | Laos | -180,134 | 2019 | up 22.5% | volatile |
| 150 | Lithuania | -186,558 | 2017 | up 18.0% | volatile |
| 151 | Belgium | -210,829 | 2019 | down 15.7% | flat |
| 152 | Czechia | -214,958 | 2019 | up 21.5% | volatile |
| 153 | Sweden | -219,120 | 2019 | down 5.3% | volatile |
| 154 | Bulgaria | -259,609 | 2019 | up 37.2% | volatile |
| 155 | Estonia | -362,650 | 2019 | down 461.6% | volatile |
| 156 | Hungary | -420,224 | 2019 | down 87.7% | volatile |
| 157 | Denmark | -522,324 | 2019 | down 67.9% | volatile |
| 158 | Romania | -1.12 million | 2019 | down 108.6% | volatile |
| 159 | Germany | -1.57 million | 2019 | down 34.4% | volatile |
| 160 | Kazakhstan | -1.64 million | 2019 | down 388.5% | volatile |
| 161 | United Kingdom | -1.66 million | 2019 | down 92.8% | volatile |
| 162 | Canada | -2.18 million | 2019 | down 38.8% | volatile |
| 163 | Ukraine | -2.35 million | 2019 | up 57.2% | falling |
| 164 | Argentina | -2.52 million | 2019 | down 148.8% | volatile |
| 165 | Australia | -2.87 million | 2019 | up 11.6% | volatile |
| 166 | Paraguay | -2.99 million | 2019 | down 60.2% | volatile |
| 167 | Russia | -3.94 million | 2019 | down 12.9% | volatile |
| 168 | France | -7.16 million | 2019 | down 52.4% | 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.