This article has been written to share the Accurate Statistical Trade Ranking by country.
The graphs that have been shared show the International Trade Price and Weight of
“Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included”(HScode:847190)
The graphs that have been shared show the International Trade Price and Weight of
“Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included”(HScode:847190)
These graphs may help you to find new Buyer and Supplier Country.
All the Statistical data that is depicted here is taken from UN Comtrade Database.
Export Trade Statistics of (HScode:847190)
Here is a graph which shows export statistics of
847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included(HScode:847190) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included(HScode:847190) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
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According to the stats, USA ranked at the top in exports of “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included” total export value 999,562,588.0USD
USA is followed by Germany: 829,722,099.0USD
China: 574,841,239.0USD
Viet Nam: 460,631,771.0USD
Singapore: 318,859,647.0USD and
United Kingdom: 236,216,816.0USD
USA is followed by Germany: 829,722,099.0USD
China: 574,841,239.0USD
Viet Nam: 460,631,771.0USD
Singapore: 318,859,647.0USD and
United Kingdom: 236,216,816.0USD
Supplier country’s “export value per KG” of (HScode:847190)
Another graph below is displaying:
“The export value per KG in USD”(The Total Weight divides the Total Export Value)
This graph shows which country exports items at a lower price in comparison with the other countries.
“The export value per KG in USD”(The Total Weight divides the Total Export Value)
This graph shows which country exports items at a lower price in comparison with the other countries.
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Montenegro ranked first in Exports “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included” at the lowest price of 1.62USD/KG Montenegro is followed by Senegal2.14USD/KG, Congo3.08USD/KG, Kuwait12.25USD/KG, United Kingdom28.76USD/KG, and Viet Nam41.29USD/KG
Import Trade Statistics of (HScode:847190)
The statistics show the ranking of
847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included(HScode:847190) worldwide in 2017
847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included(HScode:847190) worldwide in 2017
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the top importing countries worldwide in 2017
USA ranked first in imports of “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included” Total import value 819,208,417.0USD
USA is followed by Germany: 594,435,265.0USD
United Kingdom: 379,307,763.0USD
China: 350,566,700.0USD
Canada: 309,864,472.0USD and
Spain: 296,507,288.0USD
USA ranked first in imports of “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included” Total import value 819,208,417.0USD
USA is followed by Germany: 594,435,265.0USD
United Kingdom: 379,307,763.0USD
China: 350,566,700.0USD
Canada: 309,864,472.0USD and
Spain: 296,507,288.0USD
Buyer country’s “import Value per KG” of (HScode:847190)
The graph below is displaying:
“Import Value per KG in USD”(the total weight divides the total Import value)
It shows which country imports items at a higher price and comparison with other countries.
“Import Value per KG in USD”(the total weight divides the total Import value)
It shows which country imports items at a higher price and comparison with other countries.
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Ukraine ranked first in imports “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included” at the highest price of 261.02/KG Ukraine is followed by Rep. of Korea, Switzerland, Belgium, Oman, and Viet Nam
Table data of “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included”(HS:847190)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Malaysia | MYS | 2017 | Export | 98,919,419.0 | 481,545.0 | NaN | 950901.0 | 205.42 |
| 1 | Kuwait | KWT | 2017 | Export | 964,070.0 | 78,722.0 | NaN | 15149.0 | 12.25 |
| 2 | Norway | NOR | 2017 | Export | 9,640,506.0 | 73,226.0 | NaN | 101155.0 | 131.65 |
| 3 | Germany | DEU | 2017 | Export | 829,722,099.0 | 3,498,903.0 | NaN | 3105855.0 | 237.14 |
| 4 | Turkey | TUR | 2017 | Export | 8,456,141.0 | 61,453.0 | NaN | 161015.0 | 137.60 |
| 5 | Tunisia | TUN | 2017 | Export | 765,879.0 | 12,351.0 | NaN | 2454.0 | 62.01 |
| 6 | Belgium | BEL | 2017 | Export | 65,252,797.0 | 303,413.0 | NaN | 0.0 | 215.06 |
| 7 | Denmark | DNK | 2017 | Export | 61,084,164.0 | 297,361.0 | NaN | 0.0 | 205.42 |
| 8 | Lithuania | LTU | 2017 | Export | 6,505,222.0 | 53,351.0 | NaN | 49411.0 | 121.93 |
| 9 | Brazil | BRA | 2017 | Export | 6,262,212.0 | 137,625.0 | NaN | 98379.0 | 45.50 |
| 10 | Austria | AUT | 2017 | Export | 58,017,270.0 | 259,101.0 | NaN | 0.0 | 223.92 |
| 11 | China | CHN | 2017 | Export | 574,841,239.0 | 2,798,361.0 | NaN | 0.0 | 205.42 |
| 12 | Australia | AUS | 2017 | Export | 56,051,187.0 | 272,860.0 | NaN | 698183.0 | 205.42 |
| 13 | Congo | COG | 2017 | Export | 55,477.0 | 18,021.0 | NaN | 0.0 | 3.08 |
| 14 | Senegal | SEN | 2017 | Export | 54,799.0 | 25,628.0 | NaN | 0.0 | 2.14 |
| 15 | Switzerland | CHE | 2017 | Export | 52,659,226.0 | 244,051.0 | NaN | 318626.0 | 215.77 |
| 16 | Portugal | PRT | 2017 | Export | 5,992,915.0 | 37,335.0 | NaN | 12380.0 | 160.52 |
| 17 | India | IND | 2017 | Export | 5,603,339.0 | 27,277.0 | NaN | 91813.0 | 205.42 |
| 18 | Viet Nam | VNM | 2017 | Export | 460,631,771.0 | 2,035,952.0 | NaN | 0.0 | 226.25 |
| 19 | Rep. of Korea | KOR | 2017 | Export | 46,356,170.0 | 216,086.0 | NaN | 0.0 | 214.53 |
| 20 | Luxembourg | LUX | 2017 | Export | 4,310,165.0 | 65,999.0 | NaN | 8595.0 | 65.31 |
| 21 | Latvia | LVA | 2017 | Export | 4,052,932.0 | 10,689.0 | NaN | 7122.0 | 379.17 |
| 22 | Sweden | SWE | 2017 | Export | 39,011,658.0 | 239,055.0 | NaN | 437818.0 | 163.19 |
| 23 | Singapore | SGP | 2017 | Export | 318,859,647.0 | 1,552,227.0 | NaN | 5596804.0 | 205.42 |
| 24 | South Africa | ZAF | 2017 | Export | 31,960,448.0 | 155,585.0 | NaN | 214288.0 | 205.42 |
| 25 | Hungary | HUN | 2017 | Export | 31,322,214.0 | 507,067.0 | NaN | 246146.0 | 61.77 |
| 26 | Poland | POL | 2017 | Export | 30,934,314.0 | 124,015.0 | NaN | 1892422.0 | 249.44 |
| 27 | Philippines | PHL | 2017 | Export | 30,218,401.0 | 488,491.0 | NaN | 2132017.0 | 61.86 |
| 28 | Greece | GRC | 2017 | Export | 3,730,173.0 | 44,525.0 | NaN | 47273.0 | 83.78 |
| 29 | Chile | CHL | 2017 | Export | 3,137,666.0 | 15,274.0 | NaN | 19054.0 | 205.43 |
| 30 | Bulgaria | BGR | 2017 | Export | 29,744,033.0 | 107,402.0 | NaN | 357480.0 | 276.94 |
| 31 | United Kingdom | GBR | 2017 | Export | 236,216,816.0 | 8,214,417.0 | NaN | 3555814.0 | 28.76 |
| 32 | Lebanon | LBN | 2017 | Export | 227,418,170.0 | 30,322.0 | NaN | 0.0 | 7500.10 |
| 33 | Netherlands | NLD | 2017 | Export | 225,024,781.0 | 5,450,252.0 | NaN | 2007274.0 | 41.29 |
| 34 | Slovakia | SVK | 2017 | Export | 197,318,958.0 | 1,358,686.0 | NaN | 990445.0 | 145.23 |
| 35 | Israel | ISR | 2017 | Export | 191,729,000.0 | 933,348.0 | NaN | 0.0 | 205.42 |
| 36 | Japan | JPN | 2017 | Export | 185,582,269.0 | 903,425.0 | NaN | 821125.0 | 205.42 |
| 37 | Indonesia | IDN | 2017 | Export | 178,827,720.0 | 3,796,200.0 | NaN | 0.0 | 47.11 |
| 38 | France | FRA | 2017 | Export | 178,129,235.0 | 1,970,202.0 | NaN | 0.0 | 90.41 |
| 39 | Montenegro | MNE | 2017 | Export | 17,811.0 | 11,008.0 | NaN | 19580.0 | 1.62 |
| 40 | China, Hong Kong SAR | HKG | 2017 | Export | 165,517,255.0 | 805,747.0 | NaN | 10164692.0 | 205.42 |
| 41 | Mexico | MEX | 2017 | Export | 148,470,798.0 | 722,764.0 | NaN | 2906177.0 | 205.42 |
| 42 | Italy | ITA | 2017 | Export | 131,600,086.0 | 1,004,981.0 | NaN | 954528.0 | 130.95 |
| 43 | Dominican Rep. | DOM | 2017 | Export | 13,779,993.0 | 67,081.0 | NaN | 0.0 | 205.42 |
| 44 | Czechia | CZE | 2017 | Export | 123,625,131.0 | 1,315,327.0 | NaN | 647600.0 | 93.99 |
| 45 | Ireland | IRL | 2017 | Export | 120,192,432.0 | 131,070.0 | NaN | 163692.0 | 917.01 |
| 46 | Finland | FIN | 2017 | Export | 12,779,926.0 | 134,872.0 | NaN | 108503.0 | 94.76 |
| 47 | Spain | ESP | 2017 | Export | 115,832,994.0 | 1,003,185.0 | NaN | 0.0 | 115.47 |
| 48 | Russian Federation | RUS | 2017 | Export | 10,978,852.0 | 43,566.0 | NaN | 59329.0 | 252.01 |
| 49 | Cyprus | CYP | 2017 | Export | 1,899,255.0 | 15,048.0 | NaN | 13477.0 | 126.21 |
| 50 | Estonia | EST | 2017 | Export | 1,790,930.0 | 12,054.0 | NaN | 10777.0 | 148.58 |
| 51 | Oman | OMN | 2017 | Export | 1,306,031.0 | 18,561.0 | NaN | 18561.0 | 70.36 |
| 52 | Morocco | MAR | 2017 | Export | 1,245,790.0 | 18,067.0 | NaN | 0.0 | 68.95 |
Table data of “847190 – Magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included”(HS:847190)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Switzerland | CHE | 2017 | Import | 96,939,730.0 | 417,193.0 | NaN | 1175600.0 | 232.36 |
| 1 | Uganda | UGA | 2017 | Import | 940,523.0 | 41,236.0 | NaN | 19742.0 | 22.81 |
| 2 | Slovakia | SVK | 2017 | Import | 94,068,394.0 | 902,347.0 | NaN | 686703.0 | 104.25 |
| 3 | Luxembourg | LUX | 2017 | Import | 9,680,643.0 | 148,156.0 | NaN | 41635.0 | 65.34 |
| 4 | Iran | IRN | 2017 | Import | 9,211,289.0 | 228,789.0 | NaN | 0.0 | 40.26 |
| 5 | Lebanon | LBN | 2017 | Import | 9,106,019.0 | 385,480.0 | NaN | 0.0 | 23.62 |
| 6 | Bulgaria | BGR | 2017 | Import | 9,083,095.0 | 65,425.0 | NaN | 309913.0 | 138.83 |
| 7 | Lithuania | LTU | 2017 | Import | 9,016,464.0 | 52,664.0 | NaN | 79247.0 | 171.21 |
| 8 | USA | USA | 2017 | Import | 819,208,417.0 | 4,419,375.0 | NaN | 20110183.0 | 185.37 |
| 9 | Sudan | SDN | 2017 | Import | 8,312,705.0 | 44,844.0 | NaN | 0.0 | 185.37 |
| 10 | Nigeria | NGA | 2017 | Import | 8,223,548.0 | 44,363.0 | NaN | 0.0 | 185.37 |
| 11 | Viet Nam | VNM | 2017 | Import | 77,312,806.0 | 388,120.0 | NaN | 0.0 | 199.20 |
| 12 | Ghana | GHA | 2017 | Import | 753,191.0 | 37,142.0 | NaN | 0.0 | 20.28 |
| 13 | Sweden | SWE | 2017 | Import | 74,505,518.0 | 821,350.0 | NaN | 1195004.0 | 90.71 |
| 14 | Australia | AUS | 2017 | Import | 72,100,483.0 | 388,959.0 | NaN | 598256.0 | 185.37 |
| 15 | Mauritius | MUS | 2017 | Import | 7,822,793.0 | 42,201.0 | NaN | 87378.0 | 185.37 |
| 16 | Kuwait | KWT | 2017 | Import | 7,695,586.0 | 56,728.0 | NaN | 65827.0 | 135.66 |
| 17 | Kazakhstan | KAZ | 2017 | Import | 7,179,703.0 | 40,632.0 | NaN | 0.0 | 176.70 |
| 18 | Austria | AUT | 2017 | Import | 68,889,712.0 | 614,112.0 | NaN | 0.0 | 112.18 |
| 19 | Malawi | MWI | 2017 | Import | 658,922.0 | 14,141.0 | NaN | 6341.0 | 46.60 |
| 20 | Rep. of Korea | KOR | 2017 | Import | 61,694,598.0 | 238,263.0 | NaN | 0.0 | 258.93 |
| 21 | Burkina Faso | BFA | 2017 | Import | 602,683.0 | 38,789.0 | NaN | 0.0 | 15.54 |
| 22 | Morocco | MAR | 2017 | Import | 6,961,247.0 | 78,106.0 | NaN | 0.0 | 89.13 |
| 23 | Ukraine | UKR | 2017 | Import | 6,136,224.0 | 23,509.0 | NaN | 70665.0 | 261.02 |
| 24 | Germany | DEU | 2017 | Import | 594,435,265.0 | 3,760,906.0 | NaN | 7096284.0 | 158.06 |
| 25 | Belize | BLZ | 2017 | Import | 581,019.0 | 40,448.0 | NaN | 0.0 | 14.36 |
| 26 | Togo | TGO | 2017 | Import | 574,744.0 | 66,583.0 | NaN | 5215.0 | 8.63 |
| 27 | Philippines | PHL | 2017 | Import | 56,584,205.0 | 4,405,240.0 | NaN | 951249.0 | 12.84 |
| 28 | Norway | NOR | 2017 | Import | 52,399,676.0 | 320,190.0 | NaN | 247742.0 | 163.65 |
| 29 | Madagascar | MDG | 2017 | Import | 519,586.0 | 95,117.0 | NaN | 0.0 | 5.46 |
| 30 | South Africa | ZAF | 2017 | Import | 50,867,208.0 | 274,412.0 | NaN | 874558.0 | 185.37 |
| 31 | Paraguay | PRY | 2017 | Import | 5,620,217.0 | 115,156.0 | NaN | 0.0 | 48.81 |
| 32 | Kenya | KEN | 2017 | Import | 5,146,455.0 | 774,786.0 | NaN | 230528.0 | 6.64 |
| 33 | Poland | POL | 2017 | Import | 48,559,980.0 | 333,355.0 | NaN | 876846.0 | 145.67 |
| 34 | Ireland | IRL | 2017 | Import | 44,381,222.0 | 247,454.0 | NaN | 392457.0 | 179.35 |
| 35 | Israel | ISR | 2017 | Import | 43,318,000.0 | 233,687.0 | NaN | 0.0 | 185.37 |
| 36 | India | IND | 2017 | Import | 41,587,606.0 | 224,352.0 | NaN | 3772309.0 | 185.37 |
| 37 | Belarus | BLR | 2017 | Import | 4,956,900.0 | 26,442.0 | NaN | 40093.0 | 187.46 |
| 38 | Jordan | JOR | 2017 | Import | 4,889,171.0 | 42,824.0 | NaN | 0.0 | 114.17 |
| 39 | Serbia | SRB | 2017 | Import | 4,295,362.0 | 22,281.0 | NaN | 0.0 | 192.78 |
| 40 | Dominican Rep. | DOM | 2017 | Import | 4,151,844.0 | 22,397.0 | NaN | 0.0 | 185.38 |
| 41 | Fiji | FJI | 2017 | Import | 4,125,581.0 | 22,256.0 | NaN | 31223.0 | 185.37 |
| 42 | Cameroon | CMR | 2017 | Import | 391,007.0 | 11,312.0 | NaN | 0.0 | 34.57 |
| 43 | Turkey | TUR | 2017 | Import | 39,547,625.0 | 373,318.0 | NaN | 1033958.0 | 105.94 |
| 44 | Czechia | CZE | 2017 | Import | 38,441,636.0 | 209,131.0 | NaN | 1177290.0 | 183.82 |
| 45 | Maldives | MDV | 2017 | Import | 365,552.0 | 10,996.0 | NaN | 0.0 | 33.24 |
| 46 | Chile | CHL | 2017 | Import | 36,619,660.0 | 197,551.0 | NaN | 804204.0 | 185.37 |
| 47 | China | CHN | 2017 | Import | 350,566,700.0 | 1,891,198.0 | NaN | 0.0 | 185.37 |
| 48 | Hungary | HUN | 2017 | Import | 35,043,121.0 | 1,043,235.0 | NaN | 453650.0 | 33.59 |
| 49 | Argentina | ARG | 2017 | Import | 33,897,982.0 | 312,901.0 | NaN | 906292.0 | 108.33 |
| 50 | Ecuador | ECU | 2017 | Import | 3,950,553.0 | 57,228.0 | NaN | 204419.0 | 69.03 |
| 51 | Tunisia | TUN | 2017 | Import | 3,519,607.0 | 39,434.0 | NaN | 35141.0 | 89.25 |
| 52 | Estonia | EST | 2017 | Import | 3,308,335.0 | 22,069.0 | NaN | 137093.0 | 149.91 |
| 53 | Uruguay | URY | 2017 | Import | 3,263,460.0 | 38,836.0 | NaN | 57107.0 | 84.03 |
| 54 | Georgia | GEO | 2017 | Import | 3,154,215.0 | 24,823.0 | NaN | 60882.0 | 127.07 |
| 55 | Spain | ESP | 2017 | Import | 296,507,288.0 | 3,375,954.0 | NaN | 0.0 | 87.83 |
| 56 | Finland | FIN | 2017 | Import | 29,801,870.0 | 245,698.0 | NaN | 334473.0 | 121.29 |
| 57 | Singapore | SGP | 2017 | Import | 255,149,479.0 | 1,376,452.0 | NaN | 6535663.0 | 185.37 |
| 58 | Burundi | BDI | 2017 | Import | 254,654.0 | 27,522.0 | NaN | 1225.0 | 9.25 |
| 59 | Romania | ROU | 2017 | Import | 25,011,711.0 | 159,719.0 | NaN | 325805.0 | 156.60 |
| 60 | Netherlands | NLD | 2017 | Import | 242,292,611.0 | 6,867,548.0 | NaN | 2529299.0 | 35.28 |
| 61 | Colombia | COL | 2017 | Import | 20,262,133.0 | 337,935.0 | NaN | 383916.0 | 59.96 |
| 62 | Latvia | LVA | 2017 | Import | 2,882,974.0 | 19,538.0 | NaN | 46953.0 | 147.56 |
| 63 | Bosnia Herzegovina | BIH | 2017 | Import | 2,877,491.0 | 56,599.0 | NaN | 0.0 | 50.84 |
| 64 | Iceland | ISL | 2017 | Import | 2,653,666.0 | 15,976.0 | NaN | 0.0 | 166.10 |
| 65 | Mozambique | MOZ | 2017 | Import | 2,620,212.0 | 14,135.0 | NaN | 57413779.0 | 185.37 |
| 66 | Kyrgyzstan | KGZ | 2017 | Import | 2,256,106.0 | 12,929.0 | NaN | 7268.0 | 174.50 |
| 67 | Myanmar | MMR | 2017 | Import | 2,248,004.0 | 12,127.0 | NaN | 173727.0 | 185.37 |
| 68 | Nicaragua | NIC | 2017 | Import | 2,219,630.0 | 22,104.0 | NaN | 0.0 | 100.42 |
| 69 | Botswana | BWA | 2017 | Import | 2,136,670.0 | 36,502.0 | NaN | 0.0 | 58.54 |
| 70 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 2,045,692.0 | 44,447.0 | NaN | 214633.0 | 46.03 |
| 71 | Mexico | MEX | 2017 | Import | 19,156,029.0 | 103,340.0 | NaN | 452362.0 | 185.37 |
| 72 | Japan | JPN | 2017 | Import | 184,946,248.0 | 997,727.0 | NaN | 4105753.0 | 185.37 |
| 73 | Italy | ITA | 2017 | Import | 181,402,366.0 | 3,810,147.0 | NaN | 3624957.0 | 47.61 |
| 74 | France | FRA | 2017 | Import | 177,215,249.0 | 1,306,063.0 | NaN | 0.0 | 135.69 |
| 75 | Greece | GRC | 2017 | Import | 16,664,188.0 | 219,689.0 | NaN | 435609.0 | 75.85 |
| 76 | Peru | PER | 2017 | Import | 15,385,064.0 | 101,069.0 | NaN | 0.0 | 152.22 |
| 77 | Algeria | DZA | 2017 | Import | 14,315,028.0 | 223,110.0 | NaN | 0.0 | 64.16 |
| 78 | Belgium | BEL | 2017 | Import | 116,254,613.0 | 557,414.0 | NaN | 0.0 | 208.56 |
| 79 | China, Hong Kong SAR | HKG | 2017 | Import | 114,256,528.0 | 616,378.0 | NaN | 19874701.0 | 185.37 |
| 80 | Costa Rica | CRI | 2017 | Import | 11,497,169.0 | 76,658.0 | NaN | 0.0 | 149.98 |
| 81 | Portugal | PRT | 2017 | Import | 11,351,194.0 | 92,954.0 | NaN | 166983.0 | 122.12 |
| 82 | Egypt | EGY | 2017 | Import | 11,179,229.0 | 60,308.0 | NaN | 0.0 | 185.37 |
| 83 | Oman | OMN | 2017 | Import | 11,097,905.0 | 55,546.0 | NaN | 0.0 | 199.80 |
| 84 | Denmark | DNK | 2017 | Import | 108,980,772.0 | 587,917.0 | NaN | 0.0 | 185.37 |
| 85 | Indonesia | IDN | 2017 | Import | 108,942,701.0 | 1,428,264.0 | NaN | 0.0 | 76.28 |
| 86 | Russian Federation | RUS | 2017 | Import | 108,114,669.0 | 661,551.0 | NaN | 1415175.0 | 163.43 |
| 87 | Malaysia | MYS | 2017 | Import | 102,728,606.0 | 554,188.0 | NaN | 7518230.0 | 185.37 |
| 88 | Jamaica | JAM | 2017 | Import | 1,957,987.0 | 53,193.0 | NaN | 0.0 | 36.81 |
| 89 | Mali | MLI | 2017 | Import | 1,892,420.0 | 327,489.0 | NaN | 0.0 | 5.78 |
| 90 | Côte d’Ivoire | CIV | 2017 | Import | 1,816,282.0 | 29,274.0 | NaN | 0.0 | 62.04 |
| 91 | Honduras | HND | 2017 | Import | 1,807,551.0 | 60,234.0 | NaN | 17354.0 | 30.01 |
| 92 | Zambia | ZMB | 2017 | Import | 1,764,046.0 | 70,893.0 | NaN | 5828.0 | 24.88 |
| 93 | Senegal | SEN | 2017 | Import | 1,645,544.0 | 133,170.0 | NaN | 0.0 | 12.36 |
| 94 | Cyprus | CYP | 2017 | Import | 1,623,594.0 | 172,446.0 | NaN | 77758.0 | 9.42 |
| 95 | Swaziland | SWZ | 2017 | Import | 1,493,590.0 | 25,800.0 | NaN | 6892.0 | 57.89 |
| 96 | Lesotho | LSO | 2017 | Import | 1,350,738.0 | 111,949.0 | NaN | 0.0 | 12.07 |
| 97 | El Salvador | SLV | 2017 | Import | 1,227,743.0 | 49,304.0 | NaN | 0.0 | 24.90 |
| 98 | Central African Rep. | CAF | 2017 | Import | 1,217,262.0 | 21,023.0 | NaN | 0.0 | 57.90 |
| 99 | Zimbabwe | ZWE | 2017 | Import | 1,178,741.0 | 13,273.0 | NaN | 30116.0 | 88.81 |
| 100 | Benin | BEN | 2017 | Import | 1,176,700.0 | 288,326.0 | NaN | 0.0 | 4.08 |