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
“Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70”(HScode:847180)
The graphs that have been shared show the International Trade Price and Weight of
“Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70”(HScode:847180)
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:847180)
Here is a graph which shows export statistics of
847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70(HScode:847180) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70(HScode:847180) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
According to the stats, China ranked at the top in exports of “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70” total export value 5,074,670,538.0USD
China is followed by China, Hong Kong SAR: 3,425,574,706.0USD
Malaysia: 3,395,826,447.0USD
USA: 2,528,154,404.0USD
Netherlands: 1,679,422,914.0USD and
Singapore: 817,803,335.0USD
China is followed by China, Hong Kong SAR: 3,425,574,706.0USD
Malaysia: 3,395,826,447.0USD
USA: 2,528,154,404.0USD
Netherlands: 1,679,422,914.0USD and
Singapore: 817,803,335.0USD
Supplier country’s “export value per KG” of (HScode:847180)
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.
United Rep. of Tanzania ranked first in Exports “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70” at the lowest price of 1.32USD/KG United Rep. of Tanzania is followed by Zambia3.35USD/KG, Belarus9.29USD/KG, Oman27.38USD/KG, Philippines31.83USD/KG, and Dominican Rep.49.36USD/KG
Import Trade Statistics of (HScode:847180)
The statistics show the ranking of
847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70(HScode:847180) worldwide in 2017
847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70(HScode:847180) worldwide in 2017
the top importing countries worldwide in 2017
China, Hong Kong SAR ranked first in imports of “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70” Total import value 3,046,350,916.0USD
China, Hong Kong SAR is followed by USA: 2,960,120,861.0USD
China: 1,804,579,709.0USD
Netherlands: 1,722,847,742.0USD
Germany: 1,198,385,938.0USD and
Rep. of Korea: 601,982,756.0USD
China, Hong Kong SAR ranked first in imports of “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70” Total import value 3,046,350,916.0USD
China, Hong Kong SAR is followed by USA: 2,960,120,861.0USD
China: 1,804,579,709.0USD
Netherlands: 1,722,847,742.0USD
Germany: 1,198,385,938.0USD and
Rep. of Korea: 601,982,756.0USD
Buyer country’s “import Value per KG” of (HScode:847180)
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.
Argentina ranked first in imports “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70” at the highest price of 267.44/KG Argentina is followed by Singapore, Viet Nam, Rep. of Korea, Sri Lanka, and Dominican Rep.
Table data of “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70″(HS:847180)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Slovakia | SVK | 2017 | Export | 9,694,089.0 | 36,627.0 | NaN | 51084.0 | 264.67 |
| 1 | Singapore | SGP | 2017 | Export | 817,803,335.0 | 3,218,367.0 | NaN | 29554493.0 | 254.11 |
| 2 | Russian Federation | RUS | 2017 | Export | 8,720,536.0 | 77,275.0 | NaN | 38433.0 | 112.85 |
| 3 | Hungary | HUN | 2017 | Export | 768,608,213.0 | 1,395,087.0 | NaN | 806725.0 | 550.94 |
| 4 | Latvia | LVA | 2017 | Export | 7,951,240.0 | 42,639.0 | NaN | 47061.0 | 186.48 |
| 5 | Greece | GRC | 2017 | Export | 7,901,663.0 | 50,524.0 | NaN | 27852.0 | 156.39 |
| 6 | Spain | ESP | 2017 | Export | 67,493,568.0 | 666,982.0 | NaN | 0.0 | 101.19 |
| 7 | Namibia | NAM | 2017 | Export | 639,139.0 | 10,263.0 | NaN | 0.0 | 62.28 |
| 8 | Germany | DEU | 2017 | Export | 618,585,035.0 | 3,675,857.0 | NaN | 5480800.0 | 168.28 |
| 9 | Lithuania | LTU | 2017 | Export | 6,438,231.0 | 42,325.0 | NaN | 598672.0 | 152.11 |
| 10 | India | IND | 2017 | Export | 6,370,682.0 | 25,303.0 | NaN | 30423.0 | 251.78 |
| 11 | United Kingdom | GBR | 2017 | Export | 537,006,701.0 | 2,461,240.0 | NaN | 3041656.0 | 218.19 |
| 12 | Czechia | CZE | 2017 | Export | 520,886,497.0 | 3,582,892.0 | NaN | 3859172.0 | 145.38 |
| 13 | Sweden | SWE | 2017 | Export | 52,508,235.0 | 829,535.0 | NaN | 576356.0 | 63.30 |
| 14 | Viet Nam | VNM | 2017 | Export | 5,638,906.0 | 20,703.0 | NaN | 0.0 | 272.37 |
| 15 | Turkey | TUR | 2017 | Export | 5,223,892.0 | 105,842.0 | NaN | 94449.0 | 49.36 |
| 16 | China | CHN | 2017 | Export | 5,074,670,538.0 | 20,156,200.0 | NaN | 0.0 | 251.77 |
| 17 | Mexico | MEX | 2017 | Export | 458,688,559.0 | 1,821,875.0 | NaN | 3356359.0 | 251.77 |
| 18 | Belarus | BLR | 2017 | Export | 453,100.0 | 48,783.0 | NaN | 68450.0 | 9.29 |
| 19 | Oman | OMN | 2017 | Export | 447,698.0 | 16,352.0 | NaN | 16352.0 | 27.38 |
| 20 | Australia | AUS | 2017 | Export | 42,554,750.0 | 169,024.0 | NaN | 358808.0 | 251.77 |
| 21 | Zambia | ZMB | 2017 | Export | 42,446.0 | 12,686.0 | NaN | 128.0 | 3.35 |
| 22 | Switzerland | CHE | 2017 | Export | 41,753,169.0 | 152,047.0 | NaN | 131465.0 | 274.61 |
| 23 | Serbia | SRB | 2017 | Export | 4,817,405.0 | 30,796.0 | NaN | 0.0 | 156.43 |
| 24 | Brazil | BRA | 2017 | Export | 34,908,420.0 | 28,218.0 | NaN | 10355.0 | 1237.10 |
| 25 | Austria | AUT | 2017 | Export | 34,903,950.0 | 167,269.0 | NaN | 0.0 | 208.67 |
| 26 | Indonesia | IDN | 2017 | Export | 3,847,344.0 | 38,075.0 | NaN | 0.0 | 101.05 |
| 27 | Portugal | PRT | 2017 | Export | 3,653,730.0 | 27,759.0 | NaN | 15684.0 | 131.62 |
| 28 | China, Hong Kong SAR | HKG | 2017 | Export | 3,425,574,706.0 | 13,606,118.0 | NaN | 22265725.0 | 251.77 |
| 29 | Malaysia | MYS | 2017 | Export | 3,395,826,447.0 | 13,487,960.0 | NaN | 30211856.0 | 251.77 |
| 30 | Bulgaria | BGR | 2017 | Export | 3,125,666.0 | 11,658.0 | NaN | 45617.0 | 268.11 |
| 31 | Finland | FIN | 2017 | Export | 23,587,443.0 | 103,433.0 | NaN | 67523.0 | 228.05 |
| 32 | Norway | NOR | 2017 | Export | 21,123,040.0 | 77,963.0 | NaN | 41486.0 | 270.94 |
| 33 | Japan | JPN | 2017 | Export | 164,188,448.0 | 652,143.0 | NaN | 364463.0 | 251.77 |
| 34 | United Rep. of Tanzania | TZA | 2017 | Export | 158,481.0 | 120,181.0 | NaN | 0.0 | 1.32 |
| 35 | Poland | POL | 2017 | Export | 152,679,306.0 | 659,600.0 | NaN | 5993209.0 | 231.47 |
| 36 | Ireland | IRL | 2017 | Export | 148,170,105.0 | 633,968.0 | NaN | 410635.0 | 233.72 |
| 37 | South Africa | ZAF | 2017 | Export | 14,648,664.0 | 58,183.0 | NaN | 43137.0 | 251.77 |
| 38 | Romania | ROU | 2017 | Export | 13,737,802.0 | 190,339.0 | NaN | 304425.0 | 72.18 |
| 39 | Israel | ISR | 2017 | Export | 124,160,000.0 | 493,153.0 | NaN | 0.0 | 251.77 |
| 40 | Belgium | BEL | 2017 | Export | 101,774,772.0 | 654,398.0 | NaN | 0.0 | 155.52 |
| 41 | Denmark | DNK | 2017 | Export | 100,890,993.0 | 400,731.0 | NaN | 0.0 | 251.77 |
| 42 | Philippines | PHL | 2017 | Export | 10,636,449.0 | 334,117.0 | NaN | 202082.0 | 31.83 |
| 43 | Netherlands | NLD | 2017 | Export | 1,679,422,914.0 | 11,010,984.0 | NaN | 7765295.0 | 152.52 |
| 44 | Estonia | EST | 2017 | Export | 1,654,374.0 | 14,563.0 | NaN | 191666.0 | 113.60 |
Table data of “847180 – Units of automatic data processing machines; n.e.c. in item no. 8471.50, 8471.60 or 8471.70″(HS:847180)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Austria | AUT | 2017 | Import | 98,679,379.0 | 674,215.0 | NaN | 0.0 | 146.36 |
| 1 | Turkey | TUR | 2017 | Import | 91,109,770.0 | 596,497.0 | NaN | 1098554.0 | 152.74 |
| 2 | TFYR of Macedonia | MKD | 2017 | Import | 9,341,065.0 | 47,140.0 | NaN | 56524.0 | 198.16 |
| 3 | Cameroon | CMR | 2017 | Import | 883,978.0 | 107,444.0 | NaN | 0.0 | 8.23 |
| 4 | India | IND | 2017 | Import | 85,919,418.0 | 368,597.0 | NaN | 1029493.0 | 233.10 |
| 5 | Côte d’Ivoire | CIV | 2017 | Import | 823,472.0 | 12,315.0 | NaN | 0.0 | 66.87 |
| 6 | Lesotho | LSO | 2017 | Import | 812,018.0 | 101,040.0 | NaN | 0.0 | 8.04 |
| 7 | Ecuador | ECU | 2017 | Import | 8,040,893.0 | 54,432.0 | NaN | 44631.0 | 147.72 |
| 8 | South Africa | ZAF | 2017 | Import | 79,144,505.0 | 339,532.0 | NaN | 688491.0 | 233.10 |
| 9 | Swaziland | SWZ | 2017 | Import | 741,700.0 | 19,330.0 | NaN | 2680.0 | 38.37 |
| 10 | Oman | OMN | 2017 | Import | 7,898,906.0 | 92,196.0 | NaN | 0.0 | 85.68 |
| 11 | Algeria | DZA | 2017 | Import | 7,713,510.0 | 90,297.0 | NaN | 0.0 | 85.42 |
| 12 | Norway | NOR | 2017 | Import | 67,400,263.0 | 357,205.0 | NaN | 298333.0 | 188.69 |
| 13 | Benin | BEN | 2017 | Import | 610,045.0 | 29,799.0 | NaN | 0.0 | 20.47 |
| 14 | Rep. of Korea | KOR | 2017 | Import | 601,982,756.0 | 2,574,428.0 | NaN | 0.0 | 233.83 |
| 15 | Myanmar | MMR | 2017 | Import | 6,842,047.0 | 137,702.0 | NaN | 75562067.0 | 49.69 |
| 16 | Honduras | HND | 2017 | Import | 6,419,511.0 | 44,093.0 | NaN | 31990.0 | 145.59 |
| 17 | Botswana | BWA | 2017 | Import | 6,366,858.0 | 62,801.0 | NaN | 0.0 | 101.38 |
| 18 | Uganda | UGA | 2017 | Import | 575,747.0 | 13,363.0 | NaN | 8309.0 | 43.09 |
| 19 | Indonesia | IDN | 2017 | Import | 56,838,651.0 | 1,277,543.0 | NaN | 0.0 | 44.49 |
| 20 | Madagascar | MDG | 2017 | Import | 549,861.0 | 37,186.0 | NaN | 0.0 | 14.79 |
| 21 | United Kingdom | GBR | 2017 | Import | 541,921,463.0 | 5,492,279.0 | NaN | 8118596.0 | 98.67 |
| 22 | Singapore | SGP | 2017 | Import | 528,132,177.0 | 2,138,265.0 | NaN | 3203737.0 | 246.99 |
| 23 | Luxembourg | LUX | 2017 | Import | 5,971,797.0 | 43,842.0 | NaN | 36554.0 | 136.21 |
| 24 | Nigeria | NGA | 2017 | Import | 5,526,651.0 | 23,709.0 | NaN | 0.0 | 233.10 |
| 25 | El Salvador | SLV | 2017 | Import | 5,353,704.0 | 47,492.0 | NaN | 0.0 | 112.73 |
| 26 | Ukraine | UKR | 2017 | Import | 5,305,123.0 | 47,059.0 | NaN | 139104.0 | 112.73 |
| 27 | Dominican Rep. | DOM | 2017 | Import | 5,291,747.0 | 22,701.0 | NaN | 0.0 | 233.11 |
| 28 | Czechia | CZE | 2017 | Import | 499,725,201.0 | 4,329,747.0 | NaN | 5009559.0 | 115.42 |
| 29 | Japan | JPN | 2017 | Import | 485,114,847.0 | 2,081,159.0 | NaN | 2736675.0 | 233.10 |
| 30 | Mauritania | MRT | 2017 | Import | 450,813.0 | 12,077.0 | NaN | 0.0 | 37.33 |
| 31 | France | FRA | 2017 | Import | 439,144,849.0 | 2,370,593.0 | NaN | 0.0 | 185.25 |
| 32 | Romania | ROU | 2017 | Import | 40,846,304.0 | 226,059.0 | NaN | 537105.0 | 180.69 |
| 33 | Cyprus | CYP | 2017 | Import | 4,984,032.0 | 71,132.0 | NaN | 58124.0 | 70.07 |
| 34 | Georgia | GEO | 2017 | Import | 4,852,017.0 | 22,550.0 | NaN | 32871.0 | 215.17 |
| 35 | Costa Rica | CRI | 2017 | Import | 4,639,817.0 | 57,386.0 | NaN | 0.0 | 80.85 |
| 36 | Poland | POL | 2017 | Import | 384,774,077.0 | 1,901,424.0 | NaN | 3733539.0 | 202.36 |
| 37 | Iran | IRN | 2017 | Import | 38,693,194.0 | 551,441.0 | NaN | 0.0 | 70.17 |
| 38 | Portugal | PRT | 2017 | Import | 36,744,224.0 | 172,782.0 | NaN | 401050.0 | 212.66 |
| 39 | Philippines | PHL | 2017 | Import | 36,454,558.0 | 1,489,863.0 | NaN | 1639659.0 | 24.47 |
| 40 | Argentina | ARG | 2017 | Import | 35,227,019.0 | 131,717.0 | NaN | 238445.0 | 267.44 |
| 41 | Mexico | MEX | 2017 | Import | 338,064,364.0 | 1,450,307.0 | NaN | 10035567.0 | 233.10 |
| 42 | Mozambique | MOZ | 2017 | Import | 3,865,862.0 | 35,669.0 | NaN | 9523.0 | 108.38 |
| 43 | Namibia | NAM | 2017 | Import | 3,842,345.0 | 139,090.0 | NaN | 0.0 | 27.62 |
| 44 | Bosnia Herzegovina | BIH | 2017 | Import | 3,810,679.0 | 70,282.0 | NaN | 0.0 | 54.22 |
| 45 | Lebanon | LBN | 2017 | Import | 3,564,884.0 | 26,012.0 | NaN | 0.0 | 137.05 |
| 46 | Tunisia | TUN | 2017 | Import | 3,405,095.0 | 29,507.0 | NaN | 10692.0 | 115.40 |
| 47 | Nicaragua | NIC | 2017 | Import | 3,338,837.0 | 66,389.0 | NaN | 0.0 | 50.29 |
| 48 | Mauritius | MUS | 2017 | Import | 3,320,811.0 | 14,246.0 | NaN | 9336.0 | 233.10 |
| 49 | Sri Lanka | LKA | 2017 | Import | 3,115,804.0 | 13,366.0 | NaN | 74287.0 | 233.11 |
| 50 | China, Hong Kong SAR | HKG | 2017 | Import | 3,046,350,916.0 | 13,068,952.0 | NaN | 19248660.0 | 233.10 |
| 51 | Russian Federation | RUS | 2017 | Import | 299,273,529.0 | 1,414,945.0 | NaN | 1990389.0 | 211.51 |
| 52 | Bulgaria | BGR | 2017 | Import | 28,673,212.0 | 132,512.0 | NaN | 175623.0 | 216.38 |
| 53 | Peru | PER | 2017 | Import | 28,629,785.0 | 217,849.0 | NaN | 210470.0 | 131.42 |
| 54 | Hungary | HUN | 2017 | Import | 276,120,161.0 | 1,252,000.0 | NaN | 2060758.0 | 220.54 |
| 55 | Greece | GRC | 2017 | Import | 27,501,162.0 | 244,129.0 | NaN | 202312.0 | 112.65 |
| 56 | Serbia | SRB | 2017 | Import | 27,457,959.0 | 127,168.0 | NaN | 0.0 | 215.92 |
| 57 | Egypt | EGY | 2017 | Import | 26,263,993.0 | 112,673.0 | NaN | 0.0 | 233.10 |
| 58 | Ireland | IRL | 2017 | Import | 241,387,146.0 | 1,076,910.0 | NaN | 597556.0 | 224.15 |
| 59 | Malaysia | MYS | 2017 | Import | 233,111,518.0 | 1,000,056.0 | NaN | 4986382.0 | 233.10 |
| 60 | Jordan | JOR | 2017 | Import | 23,366,234.0 | 100,241.0 | NaN | 465099.0 | 233.10 |
| 61 | Australia | AUS | 2017 | Import | 209,401,109.0 | 898,338.0 | NaN | 671190.0 | 233.10 |
| 62 | Italy | ITA | 2017 | Import | 200,691,090.0 | 1,313,514.0 | NaN | 1635311.0 | 152.79 |
| 63 | USA | USA | 2017 | Import | 2,960,120,861.0 | 12,699,022.0 | NaN | 68172075.0 | 233.10 |
| 64 | Zimbabwe | ZWE | 2017 | Import | 2,537,708.0 | 42,677.0 | NaN | 9834.0 | 59.46 |
| 65 | Kenya | KEN | 2017 | Import | 2,536,557.0 | 42,148.0 | NaN | 13938.0 | 60.18 |
| 66 | Mali | MLI | 2017 | Import | 2,485,414.0 | 36,139.0 | NaN | 0.0 | 68.77 |
| 67 | Ghana | GHA | 2017 | Import | 2,234,340.0 | 90,909.0 | NaN | 0.0 | 24.58 |
| 68 | Rep. of Moldova | MDA | 2017 | Import | 2,148,592.0 | 10,143.0 | NaN | 12929.0 | 211.83 |
| 69 | Zambia | ZMB | 2017 | Import | 2,035,031.0 | 68,821.0 | NaN | 7719.0 | 29.57 |
| 70 | Latvia | LVA | 2017 | Import | 19,713,388.0 | 100,088.0 | NaN | 87279.0 | 196.96 |
| 71 | Chile | CHL | 2017 | Import | 19,410,677.0 | 83,272.0 | NaN | 149681.0 | 233.10 |
| 72 | Spain | ESP | 2017 | Import | 183,436,320.0 | 1,676,511.0 | NaN | 0.0 | 109.42 |
| 73 | Switzerland | CHE | 2017 | Import | 166,281,194.0 | 913,270.0 | NaN | 795023.0 | 182.07 |
| 74 | Lithuania | LTU | 2017 | Import | 16,686,407.0 | 79,685.0 | NaN | 124523.0 | 209.40 |
| 75 | Estonia | EST | 2017 | Import | 16,464,332.0 | 86,002.0 | NaN | 190999.0 | 191.44 |
| 76 | Denmark | DNK | 2017 | Import | 152,919,212.0 | 656,028.0 | NaN | 0.0 | 233.10 |
| 77 | Belgium | BEL | 2017 | Import | 141,299,851.0 | 934,625.0 | NaN | 0.0 | 151.18 |
| 78 | Kazakhstan | KAZ | 2017 | Import | 13,703,714.0 | 71,008.0 | NaN | 0.0 | 192.99 |
| 79 | Kuwait | KWT | 2017 | Import | 13,493,546.0 | 81,104.0 | NaN | 42853.0 | 166.37 |
| 80 | Colombia | COL | 2017 | Import | 13,204,931.0 | 117,241.0 | NaN | 287554.0 | 112.63 |
| 81 | Sweden | SWE | 2017 | Import | 129,964,766.0 | 905,609.0 | NaN | 1264730.0 | 143.51 |
| 82 | Paraguay | PRY | 2017 | Import | 12,367,709.0 | 54,126.0 | NaN | 0.0 | 228.50 |
| 83 | Viet Nam | VNM | 2017 | Import | 111,342,454.0 | 461,133.0 | NaN | 0.0 | 241.45 |
| 84 | Finland | FIN | 2017 | Import | 110,995,779.0 | 560,271.0 | NaN | 443960.0 | 198.11 |
| 85 | Morocco | MAR | 2017 | Import | 11,921,680.0 | 105,934.0 | NaN | 0.0 | 112.54 |
| 86 | Iceland | ISL | 2017 | Import | 11,119,107.0 | 63,733.0 | NaN | 0.0 | 174.46 |
| 87 | Israel | ISR | 2017 | Import | 100,717,000.0 | 432,079.0 | NaN | 0.0 | 233.10 |
| 88 | Belarus | BLR | 2017 | Import | 10,590,500.0 | 86,498.0 | NaN | 143576.0 | 122.44 |
| 89 | China | CHN | 2017 | Import | 1,804,579,709.0 | 7,741,710.0 | NaN | 0.0 | 233.10 |
| 90 | Netherlands | NLD | 2017 | Import | 1,722,847,742.0 | 14,677,619.0 | NaN | 10345922.0 | 117.38 |
| 91 | Senegal | SEN | 2017 | Import | 1,704,734.0 | 93,694.0 | NaN | 0.0 | 18.19 |
| 92 | Malawi | MWI | 2017 | Import | 1,634,925.0 | 25,191.0 | NaN | 7587.0 | 64.90 |
| 93 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 1,627,753.0 | 10,719.0 | NaN | 7856.0 | 151.86 |
| 94 | Jamaica | JAM | 2017 | Import | 1,430,157.0 | 19,172.0 | NaN | 0.0 | 74.60 |
| 95 | Germany | DEU | 2017 | Import | 1,198,385,938.0 | 7,606,293.0 | NaN | 11776711.0 | 157.55 |