Net food imports by crop - Rice, milled, gaps filled by country
Net food imports by crop - Rice, milled with 52 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Countries reporting
179
Highest
2.96 million
Philippines
Lowest
-6.81 million
France
Median
18,830
Years covered
59
1961–2019
Data points
7,905
What the numbers show
Net food imports by crop - Rice, milled, gaps filled is currently reported for 179 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 18,830, and the mean is -14,730.
Over the past decade 112 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, gaps filled: 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 | Djibouti | 190,052 | 2019 | up 209.0% | volatile |
| 40 | Tanzania | 186,737 | 2019 | up 1,376.8% | volatile |
| 41 | Israel | 177,667 | 2019 | up 74.8% | volatile |
| 42 | Papua New Guinea | 164,026 | 2019 | up 2.3% | flat |
| 43 | North Korea | 161,149 | 2019 | up 41.0% | volatile |
| 44 | Afghanistan | 139,966 | 2019 | up 379.8% | volatile |
| 45 | Libya | 137,759 | 2019 | up 1,644.9% | volatile |
| 46 | Chile | 127,440 | 2019 | up 31.8% | volatile |
| 47 | Algeria | 124,587 | 2019 | up 87.8% | volatile |
| 48 | Venezuela | 112,087 | 2017 | up 34,709.6% | volatile |
| 49 | Rwanda | 105,413 | 2019 | up 310.8% | volatile |
| 50 | Colombia | 102,428 | 2019 | up 76.0% | volatile |
| 51 | Senegal | 100,332 | 2019 | up 3,590.0% | volatile |
| 52 | Sudan | 90,001 | 2019 | — | volatile |
| 53 | East Timor | 88,659 | 2018 | — | volatile |
| 54 | Lebanon | 85,117 | 2019 | up 82.0% | volatile |
| 55 | Syria | 80,456 | 2019 | down 48.7% | volatile |
| 56 | Bahrain | 75,775 | 2019 | up 29.4% | volatile |
| 57 | Congo | 74,063 | 2019 | up 67.7% | rising |
| 58 | Taiwan | 73,919 | 2019 | down 1.8% | volatile |
| 59 | Jamaica | 60,904 | 2019 | up 591.3% | volatile |
| 60 | Italy | 59,293 | 2019 | up 168.0% | volatile |
| 61 | Gabon | 59,112 | 2019 | down 12.2% | rising |
| 62 | Costa Rica | 51,484 | 2019 | up 635.9% | volatile |
| 63 | New Zealand | 49,293 | 2019 | up 27.1% | volatile |
| 64 | Comoros | 47,174 | 2018 | up 32.4% | rising |
| 65 | Guinea-Bissau | 45,256 | 2019 | up 101.1% | volatile |
| 66 | Netherlands | 44,999 | 2019 | up 178.0% | volatile |
| 67 | Bangladesh | 44,827 | 2019 | up 215.7% | volatile |
| 68 | Switzerland | 43,515 | 2019 | up 30.7% | volatile |
| 69 | South Korea | 42,090 | 2019 | down 33.5% | volatile |
| 70 | Uganda | 41,499 | 2019 | up 40.6% | volatile |
| 71 | Brunei | 39,447 | 2019 | up 2.0% | rising |
| 72 | Mongolia | 38,455 | 2018 | — | volatile |
| 73 | Mauritius | 37,046 | 2019 | down 53.1% | falling |
| 74 | Morocco | 36,513 | 2019 | up 237.1% | volatile |
| 75 | Tajikistan | 35,609 | 2019 | up 271.0% | volatile |
| 76 | Cape Verde | 35,537 | 2017 | up 11.1% | volatile |
| 77 | Fiji | 35,444 | 2019 | up 39.3% | flat |
| 78 | Eswatini | 35,200 | 2019 | up 85.3% | rising |
| 79 | Macao | 34,077 | 2018 | up 34.9% | rising |
| 80 | Botswana | 30,024 | 2019 | up 233.8% | rising |
| 81 | Azerbaijan | 27,098 | 2019 | up 86.9% | volatile |
| 82 | Palestine | 25,600 | 2019 | up 27.5% | volatile |
| 83 | Central African Republic | 25,230 | 2015 | up 5,245.3% | volatile |
| 84 | Norway | 24,243 | 2019 | up 8.9% | volatile |
| 85 | Belarus | 24,050 | 2019 | down 4.3% | volatile |
| 86 | Dominican Republic | 23,552 | 2019 | down 27.9% | volatile |
| 87 | Tunisia | 22,520 | 2019 | up 140.5% | volatile |
| 88 | Greece | 20,249 | 2019 | up 33.5% | volatile |
| 89 | Togo | 18,837 | 2019 | down 57.8% | volatile |
| 90 | Albania | 18,830 | 2019 | up 44.7% | volatile |
| 91 | Cambodia | 18,485 | 2019 | up 167.2% | volatile |
| 92 | Panama | 16,289 | 2019 | up 1,110.2% | volatile |
| 93 | Mali | 15,482 | 2019 | down 20.1% | volatile |
| 94 | Trinidad and Tobago | 13,633 | 2019 | up 221.5% | falling |
| 95 | Bhutan | 13,056 | 2019 | down 75.6% | volatile |
| 96 | Honduras | 11,942 | 2019 | down 14.3% | rising |
| 97 | Thailand | 11,921 | 2019 | down 41.4% | volatile |
| 98 | Samoa | 11,585 | 2019 | up 2,380.7% | volatile |
| 99 | Bolivia | 11,391 | 2019 | down 27.1% | volatile |
| 100 | Namibia | 11,357 | 2019 | up 967.4% | volatile |
| 101 | Poland | 11,152 | 2019 | up 1,434.0% | volatile |
| 102 | Kyrgyzstan | 11,073 | 2019 | down 34.4% | volatile |
| 103 | Armenia | 10,495 | 2019 | up 384.3% | volatile |
| 104 | French Polynesia | 9,999 | 2018 | down 13.5% | rising |
| 105 | Guatemala | 9,388 | 2019 | up 37.5% | volatile |
| 106 | Indonesia | 9,023 | 2019 | down 93.4% | volatile |
| 107 | Bahamas | 8,043 | 2019 | up 709.2% | rising |
| 108 | Cyprus | 8,040 | 2019 | up 63.4% | volatile |
| 109 | Seychelles | 7,769 | 2018 | up 8.9% | rising |
| 110 | Sao Tome and Principe | 7,120 | 2014 | up 12.6% | rising |
| 111 | Bosnia and Herzegovina | 6,612 | 2019 | up 22.0% | rising |
| 112 | Slovenia | 5,949 | 2019 | up 3.9% | volatile |
| 113 | South Sudan | 5,567 | 2018 | — | volatile |
| 114 | Chad | 5,020 | 2019 | up 559.7% | volatile |
| 115 | Georgia | 4,964 | 2019 | down 14.8% | volatile |
| 116 | Lesotho | 4,949 | 2019 | up 40.1% | volatile |
| 117 | Turkmenistan | 4,904 | 2019 | down 75.9% | volatile |
| 118 | Malawi | 4,042 | 2019 | down 39.3% | volatile |
| 119 | Malta | 3,521 | 2019 | up 90.6% | volatile |
| 120 | Nicaragua | 3,364 | 2019 | down 72.1% | volatile |
| 121 | India | 2,955 | 2019 | up 105.8% | volatile |
| 122 | Portugal | 2,781 | 2019 | up 110.9% | volatile |
| 123 | Vanuatu | 1,897 | 2013 | down 85.4% | volatile |
| 124 | New Caledonia | 1,567 | 2018 | down 25.4% | volatile |
| 125 | Montenegro | 1,325 | 2019 | up 16.3% | rising |
| 126 | Iceland | 1,302 | 2019 | up 21.6% | rising |
| 127 | Saint Lucia | 1,136 | 2019 | up 44.2% | rising |
| 128 | Saint Kitts and Nevis | 867 | 2019 | up 27.1% | rising |
| 129 | Barbados | 586 | 2019 | down 81.7% | volatile |
| 130 | Eritrea | 363 | 2014 | up 584.9% | volatile |
| 131 | Ecuador | 183 | 2019 | up 142.6% | volatile |
| 132 | Dominica | 129 | 2017 | up 745.0% | volatile |
| 133 | Pakistan | 54 | 2019 | down 96.8% | volatile |
| 134 | Grenada | 52 | 2018 | — | volatile |
| 135 | Antigua and Barbuda | 44 | 2019 | — | falling |
| 136 | Guyana | 22 | 2019 | down 62.7% | volatile |
| 137 | Burundi | 12 | 2019 | down 99.7% | volatile |
| 138 | Gambia | -69 | 2018 | down 100.4% | volatile |
| 139 | El Salvador | -285 | 2019 | down 104.0% | volatile |
| 140 | Saint Vincent and the Grenadines | -651 | 2019 | up 81.7% | volatile |
| 141 | North Macedonia | -3,090 | 2019 | down 8,023.1% | volatile |
| 142 | Suriname | -3,283 | 2019 | down 2,858.8% | volatile |
| 143 | Belize | -6,802 | 2019 | down 8,497.5% | volatile |
| 144 | Burkina Faso | -7,898 | 2019 | down 105.3% | volatile |
| 145 | Luxembourg | -11,342 | 2019 | up 4.5% | falling |
| 146 | Austria | -15,930 | 2019 | up 59.5% | volatile |
| 147 | Croatia | -25,440 | 2019 | down 540.6% | volatile |
| 148 | Ireland | -30,769 | 2019 | down 17.2% | volatile |
| 149 | Serbia | -40,841 | 2019 | down 1,411.0% | volatile |
| 150 | Moldova | -44,723 | 2019 | up 68.9% | volatile |
| 151 | Slovakia | -47,831 | 2019 | down 16.2% | volatile |
| 152 | Uzbekistan | -55,687 | 2019 | down 2,010.4% | volatile |
| 153 | Uruguay | -71,712 | 2019 | down 477,980.0% | volatile |
| 154 | Spain | -73,590 | 2019 | down 6,500.0% | volatile |
| 155 | Vietnam | -84,869 | 2019 | down 16,296.4% | volatile |
| 156 | Finland | -106,330 | 2019 | down 139.1% | volatile |
| 157 | Laos | -124,562 | 2019 | up 34.2% | volatile |
| 158 | Niger | -124,864 | 2019 | down 187.7% | volatile |
| 159 | Myanmar | -127,203 | 2018 | down 257.0% | volatile |
| 160 | Czechia | -143,664 | 2019 | up 34.9% | volatile |
| 161 | Sweden | -157,125 | 2019 | up 4.4% | volatile |
| 162 | Latvia | -197,965 | 2019 | down 87.2% | volatile |
| 163 | Bulgaria | -244,085 | 2019 | up 37.7% | volatile |
| 164 | Belgium | -246,482 | 2013 | down 41.6% | falling |
| 165 | Lithuania | -277,434 | 2019 | down 55.6% | volatile |
| 166 | Estonia | -359,240 | 2019 | down 481.0% | volatile |
| 167 | Hungary | -379,654 | 2019 | down 99.1% | volatile |
| 168 | Denmark | -489,650 | 2019 | down 74.9% | volatile |
| 169 | Romania | -1.09 million | 2019 | down 112.1% | volatile |
| 170 | United Kingdom | -1.42 million | 2019 | down 123.0% | volatile |
| 171 | Kazakhstan | -1.62 million | 2019 | down 431.9% | volatile |
| 172 | Canada | -1.72 million | 2019 | down 35.1% | volatile |
| 173 | Germany | -2.15 million | 2017 | up 17.7% | volatile |
| 174 | Ukraine | -2.28 million | 2019 | up 58.1% | volatile |
| 175 | Argentina | -2.51 million | 2019 | down 149.7% | volatile |
| 176 | Australia | -2.68 million | 2019 | up 12.7% | volatile |
| 177 | Paraguay | -2.99 million | 2019 | down 60.2% | volatile |
| 178 | Russia | -3.73 million | 2019 | down 15.2% | volatile |
| 179 | France | -6.81 million | 2019 | down 53.0% | falling |
How this figure is calculated
Net food imports by crop - Rice, milled with 52 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Net food imports by crop - Rice, milled FAOSTAT. Available at: http://www.fao.org/faostat/en/#data
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Net food imports by crop - Rice, milled with 52 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.