Net food imports by crop - Rice, paddy, gaps filled by country
Net food imports by crop - Rice, paddy with 90 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
168
Highest
720,308
Mexico
Lowest
-7.16 million
France
Median
-26
Years covered
59
1961–2019
Data points
6,405
What the numbers show
Net food imports by crop - Rice, paddy, gaps filled 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, gaps filled: 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 |
How this figure is calculated
Net food imports by crop - Rice, paddy with 90 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, paddy 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, paddy with 90 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.