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
“Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)”(HScode:845011)
The graphs that have been shared show the International Trade Price and Weight of
“Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)”(HScode:845011)
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:845011)
Here is a graph which shows export statistics of
845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)(HScode:845011) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)(HScode:845011) 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 “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)” total export value 2,170,264,066.0USD
China is followed by Poland: 1,227,286,448.0USD
Turkey: 929,677,816.0USD
Germany: 638,208,157.0USD
Italy: 560,127,801.0USD and
Slovakia: 410,142,425.0USD
China is followed by Poland: 1,227,286,448.0USD
Turkey: 929,677,816.0USD
Germany: 638,208,157.0USD
Italy: 560,127,801.0USD and
Slovakia: 410,142,425.0USD
Supplier country’s “export value per KG” of (HScode:845011)
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.
Armenia ranked first in Exports “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)” at the lowest price of 0.43USD/KG Armenia is followed by Gambia1.32USD/KG, Ghana1.35USD/KG, Aruba1.55USD/KG, Senegal1.77USD/KG, and Aruba2.39USD/KG
Import Trade Statistics of (HScode:845011)
The statistics show the ranking of
845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)(HScode:845011) worldwide in 2017
845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)(HScode:845011) worldwide in 2017
the top importing countries worldwide in 2017
Japan ranked first in imports of “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)” Total import value 705,598,865.0USD
Japan is followed by United Kingdom: 625,519,534.0USD
Germany: 571,409,896.0USD
France: 562,729,818.0USD
Italy: 363,968,572.0USD and
Australia: 299,386,384.0USD
Japan ranked first in imports of “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)” Total import value 705,598,865.0USD
Japan is followed by United Kingdom: 625,519,534.0USD
Germany: 571,409,896.0USD
France: 562,729,818.0USD
Italy: 363,968,572.0USD and
Australia: 299,386,384.0USD
Buyer country’s “import Value per KG” of (HScode:845011)
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.
Lesotho ranked first in imports “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)” at the highest price of 12.94/KG Lesotho is followed by Zambia, Brazil, Botswana, Malawi, and Aruba
Table data of “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)”(HS:845011)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Turkey | TUR | 2017 | Export | 929,677,816.0 | 389,005,787.0 | NaN | 6034786.0 | 2.39 |
| 1 | Greece | GRC | 2017 | Export | 8,586,057.0 | 1,672,264.0 | NaN | 25713.0 | 5.13 |
| 2 | China, Hong Kong SAR | HKG | 2017 | Export | 8,121,940.0 | 2,461,506.0 | NaN | 22325.0 | 3.30 |
| 3 | Montenegro | MNE | 2017 | Export | 78,991.0 | 23,024.0 | NaN | 347.0 | 3.43 |
| 4 | Norway | NOR | 2017 | Export | 763,524.0 | 114,701.0 | NaN | 1554.0 | 6.66 |
| 5 | Romania | ROU | 2017 | Export | 7,846,782.0 | 2,214,696.0 | NaN | 45390.0 | 3.54 |
| 6 | Armenia | ARM | 2017 | Export | 7,398.0 | 17,219.0 | NaN | 268.0 | 0.43 |
| 7 | Gambia | GMB | 2017 | Export | 66,843.0 | 50,500.0 | NaN | 355.0 | 1.32 |
| 8 | TFYR of Macedonia | MKD | 2017 | Export | 65,374.0 | 24,078.0 | NaN | 398.0 | 2.72 |
| 9 | Germany | DEU | 2017 | Export | 638,208,157.0 | 112,848,890.0 | NaN | 1396597.0 | 5.66 |
| 10 | Czechia | CZE | 2017 | Export | 63,337,021.0 | 10,475,447.0 | NaN | 136908.0 | 6.05 |
| 11 | Netherlands | NLD | 2017 | Export | 61,711,090.0 | 16,690,758.0 | NaN | 236603.0 | 3.70 |
| 12 | Lithuania | LTU | 2017 | Export | 6,618,335.0 | 1,593,524.0 | NaN | 26461.0 | 4.15 |
| 13 | Switzerland | CHE | 2017 | Export | 6,386,431.0 | 933,283.0 | NaN | 10253.0 | 6.84 |
| 14 | Chile | CHL | 2017 | Export | 6,274,795.0 | 1,901,694.0 | NaN | 12821.0 | 3.30 |
| 15 | Malaysia | MYS | 2017 | Export | 567,500.0 | 171,991.0 | NaN | 3442.0 | 3.30 |
| 16 | Italy | ITA | 2017 | Export | 560,127,801.0 | 143,083,244.0 | NaN | 2200665.0 | 3.91 |
| 17 | Japan | JPN | 2017 | Export | 5,808,616.0 | 1,760,410.0 | NaN | 18251.0 | 3.30 |
| 18 | Egypt | EGY | 2017 | Export | 5,650,991.0 | 1,712,638.0 | NaN | 30048.0 | 3.30 |
| 19 | South Africa | ZAF | 2017 | Export | 5,176,214.0 | 1,568,748.0 | NaN | 25204.0 | 3.30 |
| 20 | Australia | AUS | 2017 | Export | 489,705.0 | 148,414.0 | NaN | 973.0 | 3.30 |
| 21 | Mexico | MEX | 2017 | Export | 44,585,510.0 | 13,512,474.0 | NaN | 101053.0 | 3.30 |
| 22 | Austria | AUT | 2017 | Export | 44,552,033.0 | 10,365,778.0 | NaN | 252256.0 | 4.30 |
| 23 | Slovakia | SVK | 2017 | Export | 410,142,425.0 | 147,175,841.0 | NaN | 2424484.0 | 2.79 |
| 24 | Belgium | BEL | 2017 | Export | 40,278,755.0 | 13,222,449.0 | NaN | 228060.0 | 3.05 |
| 25 | Colombia | COL | 2017 | Export | 4,679,078.0 | 826,511.0 | NaN | 19892.0 | 5.66 |
| 26 | Georgia | GEO | 2017 | Export | 395,432.0 | 130,251.0 | NaN | 3118.0 | 3.04 |
| 27 | Viet Nam | VNM | 2017 | Export | 35,577,388.0 | 10,886,629.0 | NaN | 171310.0 | 3.27 |
| 28 | Brunei Darussalam | BRN | 2017 | Export | 33,623.0 | 10,190.0 | NaN | 416.0 | 3.30 |
| 29 | Algeria | DZA | 2017 | Export | 32,904,343.0 | 11,494,015.0 | NaN | 186306.0 | 2.86 |
| 30 | Russian Federation | RUS | 2017 | Export | 318,140,249.0 | 104,499,435.0 | NaN | 1763537.0 | 3.04 |
| 31 | United Kingdom | GBR | 2017 | Export | 31,188,205.0 | 9,763,690.0 | NaN | 167085.0 | 3.19 |
| 32 | Iran | IRN | 2017 | Export | 307,995.0 | 108,826.0 | NaN | 1483.0 | 2.83 |
| 33 | Ukraine | UKR | 2017 | Export | 30,251,440.0 | 11,555,544.0 | NaN | 198032.0 | 2.62 |
| 34 | Singapore | SGP | 2017 | Export | 3,881,459.0 | 1,176,349.0 | NaN | 18453.0 | 3.30 |
| 35 | Estonia | EST | 2017 | Export | 3,505,031.0 | 714,281.0 | NaN | 11459.0 | 4.91 |
| 36 | Kazakhstan | KAZ | 2017 | Export | 3,416,817.0 | 663,658.0 | NaN | 19346.0 | 5.15 |
| 37 | Philippines | PHL | 2017 | Export | 292,406.0 | 115,500.0 | NaN | 3081.0 | 2.53 |
| 38 | Aruba | ABW | 2017 | Export | 29,499.0 | 18,994.0 | NaN | 156.0 | 1.55 |
| 39 | Belarus | BLR | 2017 | Export | 28,959,200.0 | 11,113,882.0 | NaN | 180721.0 | 2.61 |
| 40 | Denmark | DNK | 2017 | Export | 25,133,647.0 | 7,617,223.0 | NaN | 142308.0 | 3.30 |
| 41 | Senegal | SEN | 2017 | Export | 23,903.0 | 13,500.0 | NaN | 127.0 | 1.77 |
| 42 | India | IND | 2017 | Export | 23,191,476.0 | 7,028,611.0 | NaN | 125195.0 | 3.30 |
| 43 | Oman | OMN | 2017 | Export | 2,892,499.0 | 720,205.0 | NaN | 720205.0 | 4.02 |
| 44 | Hungary | HUN | 2017 | Export | 2,683,774.0 | 692,379.0 | NaN | 10890.0 | 3.88 |
| 45 | Bulgaria | BGR | 2017 | Export | 2,440,441.0 | 671,108.0 | NaN | 10689.0 | 3.64 |
| 46 | Portugal | PRT | 2017 | Export | 2,295,026.0 | 720,629.0 | NaN | 11502.0 | 3.18 |
| 47 | China | CHN | 2017 | Export | 2,170,264,066.0 | 657,739,208.0 | NaN | 12288171.0 | 3.30 |
| 48 | Ireland | IRL | 2017 | Export | 2,120,418.0 | 519,608.0 | NaN | 7709.0 | 4.08 |
| 49 | Sweden | SWE | 2017 | Export | 182,578,145.0 | 34,688,342.0 | NaN | 505277.0 | 5.26 |
| 50 | France | FRA | 2017 | Export | 18,151,165.0 | 3,654,244.0 | NaN | 102761.0 | 4.97 |
| 51 | Ghana | GHA | 2017 | Export | 15,533.0 | 11,481.0 | NaN | 82.0 | 1.35 |
| 52 | Mauritius | MUS | 2017 | Export | 145,434.0 | 44,076.0 | NaN | 499.0 | 3.30 |
| 53 | Serbia | SRB | 2017 | Export | 14,228,478.0 | 4,204,011.0 | NaN | 80562.0 | 3.38 |
| 54 | Spain | ESP | 2017 | Export | 134,734,470.0 | 38,881,139.0 | NaN | 762875.0 | 3.47 |
| 55 | Rep. of Korea | KOR | 2017 | Export | 118,279,518.0 | 19,385,337.0 | NaN | 669706.0 | 6.10 |
| 56 | Latvia | LVA | 2017 | Export | 10,076,404.0 | 1,939,924.0 | NaN | 31648.0 | 5.19 |
| 57 | Argentina | ARG | 2017 | Export | 1,882,498.0 | 707,506.0 | NaN | 11101.0 | 2.66 |
| 58 | Luxembourg | LUX | 2017 | Export | 1,815,904.0 | 538,294.0 | NaN | 4517.0 | 3.37 |
| 59 | Finland | FIN | 2017 | Export | 1,618,115.0 | 103,717.0 | NaN | 1069.0 | 15.60 |
| 60 | Brazil | BRA | 2017 | Export | 1,473,705.0 | 287,725.0 | NaN | 10333.0 | 5.12 |
| 61 | Poland | POL | 2017 | Export | 1,227,286,448.0 | 412,384,531.0 | NaN | 6428043.0 | 2.98 |
| 62 | Indonesia | IDN | 2017 | Export | 1,002,856.0 | 304,275.0 | NaN | 4828.0 | 3.30 |
Table data of “845011 – Washing machines; household or laundry-type, fully-automatic, (of a dry linen capacity not exceeding 10kg)”(HS:845011)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Denmark | DNK | 2017 | Import | 99,787,863.0 | 31,140,640.0 | NaN | 442382.0 | 3.20 |
| 1 | Honduras | HND | 2017 | Import | 989,250.0 | 916,570.0 | NaN | 11651.0 | 1.08 |
| 2 | Namibia | NAM | 2017 | Import | 970,223.0 | 1,573,001.0 | NaN | 4301.0 | 0.62 |
| 3 | Gambia | GMB | 2017 | Import | 9,616.0 | 18,065.0 | NaN | 41.0 | 0.53 |
| 4 | Dominican Rep. | DOM | 2017 | Import | 9,443,044.0 | 2,946,876.0 | NaN | 41863.0 | 3.20 |
| 5 | Colombia | COL | 2017 | Import | 9,301,769.0 | 2,325,244.0 | NaN | 75696.0 | 4.00 |
| 6 | Ukraine | UKR | 2017 | Import | 89,997,093.0 | 31,300,269.0 | NaN | 517231.0 | 2.88 |
| 7 | China, Hong Kong SAR | HKG | 2017 | Import | 89,363,323.0 | 27,887,470.0 | NaN | 372142.0 | 3.20 |
| 8 | Norway | NOR | 2017 | Import | 88,025,905.0 | 15,428,160.0 | NaN | 225385.0 | 5.71 |
| 9 | United Rep. of Tanzania | TZA | 2017 | Import | 838,971.0 | 338,504.0 | NaN | 3719.0 | 2.48 |
| 10 | Indonesia | IDN | 2017 | Import | 83,126,954.0 | 23,750,484.0 | NaN | 389473.0 | 3.50 |
| 11 | Nepal | NPL | 2017 | Import | 8,998,917.0 | 2,808,277.0 | NaN | 40680.0 | 3.20 |
| 12 | Luxembourg | LUX | 2017 | Import | 8,897,708.0 | 2,735,998.0 | NaN | 28013.0 | 3.25 |
| 13 | Mexico | MEX | 2017 | Import | 8,879,964.0 | 2,771,156.0 | NaN | 151597.0 | 3.20 |
| 14 | Myanmar | MMR | 2017 | Import | 8,628,218.0 | 2,750,746.0 | NaN | 98829.0 | 3.14 |
| 15 | Turkey | TUR | 2017 | Import | 79,552,203.0 | 24,048,240.0 | NaN | 350464.0 | 3.31 |
| 16 | Israel | ISR | 2017 | Import | 78,589,000.0 | 24,525,144.0 | NaN | 473293.0 | 3.20 |
| 17 | Cabo Verde | CPV | 2017 | Import | 759,400.0 | 324,793.0 | NaN | 3309.0 | 2.34 |
| 18 | Portugal | PRT | 2017 | Import | 72,304,203.0 | 23,930,878.0 | NaN | 374803.0 | 3.02 |
| 19 | Sudan | SDN | 2017 | Import | 717,643.0 | 223,953.0 | NaN | 3181.0 | 3.20 |
| 20 | Togo | TGO | 2017 | Import | 71,009.0 | 30,963.0 | NaN | 476.0 | 2.29 |
| 21 | Japan | JPN | 2017 | Import | 705,598,865.0 | 139,981,869.0 | NaN | 3128079.0 | 5.04 |
| 22 | Switzerland | CHE | 2017 | Import | 70,498,927.0 | 13,471,526.0 | NaN | 187571.0 | 5.23 |
| 23 | TFYR of Macedonia | MKD | 2017 | Import | 7,939,610.0 | 2,692,966.0 | NaN | 45023.0 | 2.95 |
| 24 | Armenia | ARM | 2017 | Import | 7,447,878.0 | 2,547,971.0 | NaN | 42966.0 | 2.92 |
| 25 | Cyprus | CYP | 2017 | Import | 7,278,267.0 | 1,760,879.0 | NaN | 32007.0 | 4.13 |
| 26 | Ecuador | ECU | 2017 | Import | 679,399.0 | 140,980.0 | NaN | 4797.0 | 4.82 |
| 27 | Bermuda | BMU | 2017 | Import | 678,628.0 | 211,778.0 | NaN | 1074.0 | 3.20 |
| 28 | Aruba | ABW | 2017 | Import | 660,639.0 | 109,952.0 | NaN | 2879.0 | 6.01 |
| 29 | Malaysia | MYS | 2017 | Import | 65,497,370.0 | 20,439,660.0 | NaN | 504039.0 | 3.20 |
| 30 | Greece | GRC | 2017 | Import | 64,482,063.0 | 20,589,128.0 | NaN | 323564.0 | 3.13 |
| 31 | Finland | FIN | 2017 | Import | 63,831,368.0 | 14,573,229.0 | NaN | 224411.0 | 4.38 |
| 32 | United Kingdom | GBR | 2017 | Import | 625,519,534.0 | 201,991,672.0 | NaN | 3115622.0 | 3.10 |
| 33 | Uganda | UGA | 2017 | Import | 605,848.0 | 187,545.0 | NaN | 3759.0 | 3.23 |
| 34 | Iceland | ISL | 2017 | Import | 6,603,014.0 | 1,174,094.0 | NaN | 17571.0 | 5.62 |
| 35 | Albania | ALB | 2017 | Import | 6,385,936.0 | 3,122,809.0 | NaN | 45687.0 | 2.04 |
| 36 | Brazil | BRA | 2017 | Import | 590,215.0 | 63,858.0 | NaN | 1465.0 | 9.24 |
| 37 | Kazakhstan | KAZ | 2017 | Import | 59,795,388.0 | 18,391,097.0 | NaN | 265086.0 | 3.25 |
| 38 | Hungary | HUN | 2017 | Import | 59,076,666.0 | 22,352,577.0 | NaN | 345687.0 | 2.64 |
| 39 | China | CHN | 2017 | Import | 58,196,851.0 | 18,161,399.0 | NaN | 257999.0 | 3.20 |
| 40 | Germany | DEU | 2017 | Import | 571,409,896.0 | 189,083,065.0 | NaN | 2820709.0 | 3.02 |
| 41 | France | FRA | 2017 | Import | 562,729,818.0 | 188,333,870.0 | NaN | 2494698.0 | 2.99 |
| 42 | India | IND | 2017 | Import | 56,329,155.0 | 17,578,550.0 | NaN | 360653.0 | 3.20 |
| 43 | Morocco | MAR | 2017 | Import | 54,801,560.0 | 17,853,993.0 | NaN | 256760.0 | 3.07 |
| 44 | Burkina Faso | BFA | 2017 | Import | 54,005.0 | 32,513.0 | NaN | 235.0 | 1.66 |
| 45 | Cameroon | CMR | 2017 | Import | 518,127.0 | 225,229.0 | NaN | 2258.0 | 2.30 |
| 46 | Peru | PER | 2017 | Import | 5,676,966.0 | 1,374,351.0 | NaN | 41934.0 | 4.13 |
| 47 | Mauritius | MUS | 2017 | Import | 5,421,640.0 | 1,691,922.0 | NaN | 23809.0 | 3.20 |
| 48 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 5,123,378.0 | 1,640,961.0 | NaN | 37515.0 | 3.12 |
| 49 | Slovakia | SVK | 2017 | Import | 49,905,049.0 | 13,736,674.0 | NaN | 221637.0 | 3.63 |
| 50 | South Africa | ZAF | 2017 | Import | 49,076,615.0 | 15,315,261.0 | NaN | 303061.0 | 3.20 |
| 51 | Rep. of Korea | KOR | 2017 | Import | 47,578,313.0 | 13,992,931.0 | NaN | 210925.0 | 3.40 |
| 52 | Solomon Isds | SLB | 2017 | Import | 47,576.0 | 14,847.0 | NaN | 349.0 | 3.20 |
| 53 | Mozambique | MOZ | 2017 | Import | 469,867.0 | 112,747.0 | NaN | 3224.0 | 4.17 |
| 54 | New Zealand | NZL | 2017 | Import | 46,578,516.0 | 14,535,684.0 | NaN | 176980.0 | 3.20 |
| 55 | Egypt | EGY | 2017 | Import | 46,210,645.0 | 14,420,883.0 | NaN | 201396.0 | 3.20 |
| 56 | Senegal | SEN | 2017 | Import | 454,818.0 | 283,870.0 | NaN | 1982.0 | 1.60 |
| 57 | El Salvador | SLV | 2017 | Import | 45,416.0 | 10,977.0 | NaN | 201.0 | 4.14 |
| 58 | Singapore | SGP | 2017 | Import | 43,207,493.0 | 13,483,694.0 | NaN | 195883.0 | 3.20 |
| 59 | Côte d’Ivoire | CIV | 2017 | Import | 405,478.0 | 146,246.0 | NaN | 1767.0 | 2.77 |
| 60 | Belarus | BLR | 2017 | Import | 40,644,300.0 | 9,927,926.0 | NaN | 166949.0 | 4.09 |
| 61 | Philippines | PHL | 2017 | Import | 40,449,910.0 | 12,273,145.0 | NaN | 359128.0 | 3.30 |
| 62 | Ireland | IRL | 2017 | Import | 40,413,192.0 | 13,281,752.0 | NaN | 204131.0 | 3.04 |
| 63 | Montenegro | MNE | 2017 | Import | 4,727,938.0 | 1,517,906.0 | NaN | 29016.0 | 3.11 |
| 64 | Mongolia | MNG | 2017 | Import | 4,450,892.0 | 1,123,020.0 | NaN | 17923.0 | 3.96 |
| 65 | Kyrgyzstan | KGZ | 2017 | Import | 4,201,695.0 | 1,439,982.0 | NaN | 22628.0 | 2.92 |
| 66 | Chile | CHL | 2017 | Import | 39,448,251.0 | 12,310,553.0 | NaN | 239709.0 | 3.20 |
| 67 | Zambia | ZMB | 2017 | Import | 373,279.0 | 33,211.0 | NaN | 1179.0 | 11.24 |
| 68 | Italy | ITA | 2017 | Import | 363,968,572.0 | 134,449,007.0 | NaN | 2113944.0 | 2.71 |
| 69 | Bulgaria | BGR | 2017 | Import | 36,720,299.0 | 11,077,401.0 | NaN | 178251.0 | 3.31 |
| 70 | Algeria | DZA | 2017 | Import | 34,867,404.0 | 12,146,546.0 | NaN | 154575.0 | 2.87 |
| 71 | Madagascar | MDG | 2017 | Import | 316,956.0 | 124,006.0 | NaN | 1405.0 | 2.56 |
| 72 | Saint Lucia | LCA | 2017 | Import | 313,263.0 | 103,127.0 | NaN | 1365.0 | 3.04 |
| 73 | Swaziland | SWZ | 2017 | Import | 312,102.0 | 70,978.0 | NaN | 1511.0 | 4.40 |
| 74 | Sri Lanka | LKA | 2017 | Import | 3,625,836.0 | 1,131,509.0 | NaN | 21784.0 | 3.20 |
| 75 | Kenya | KEN | 2017 | Import | 3,316,226.0 | 802,113.0 | NaN | 23222.0 | 4.13 |
| 76 | Australia | AUS | 2017 | Import | 299,386,384.0 | 93,429,035.0 | NaN | 1072544.0 | 3.20 |
| 77 | USA | USA | 2017 | Import | 292,881,554.0 | 91,399,083.0 | NaN | 1277139.0 | 3.20 |
| 78 | Spain | ESP | 2017 | Import | 288,273,574.0 | 104,293,376.0 | NaN | 1277981.0 | 2.76 |
| 79 | Burundi | BDI | 2017 | Import | 26,957.0 | 13,429.0 | NaN | 258.0 | 2.01 |
| 80 | Iran | IRN | 2017 | Import | 26,838,211.0 | 7,417,185.0 | NaN | 125744.0 | 3.62 |
| 81 | Congo | COG | 2017 | Import | 251,512.0 | 82,802.0 | NaN | 1115.0 | 3.04 |
| 82 | Sweden | SWE | 2017 | Import | 247,678,277.0 | 63,585,139.0 | NaN | 927471.0 | 3.90 |
| 83 | Argentina | ARG | 2017 | Import | 24,836,129.0 | 5,793,770.0 | NaN | 99782.0 | 4.29 |
| 84 | Serbia | SRB | 2017 | Import | 24,644,573.0 | 11,334,066.0 | NaN | 109254.0 | 2.17 |
| 85 | Lithuania | LTU | 2017 | Import | 23,914,215.0 | 5,844,015.0 | NaN | 101025.0 | 4.09 |
| 86 | Poland | POL | 2017 | Import | 213,435,418.0 | 73,264,937.0 | NaN | 1195598.0 | 2.91 |
| 87 | Samoa | WSM | 2017 | Import | 212,695.0 | 66,375.0 | NaN | 1382.0 | 3.20 |
| 88 | Malawi | MWI | 2017 | Import | 203,776.0 | 29,758.0 | NaN | 706.0 | 6.85 |
| 89 | Nigeria | NGA | 2017 | Import | 2,818,713.0 | 879,631.0 | NaN | 12284.0 | 3.20 |
| 90 | Lebanon | LBN | 2017 | Import | 19,909,949.0 | 5,235,112.0 | NaN | 88265.0 | 3.80 |
| 91 | Georgia | GEO | 2017 | Import | 19,791,676.0 | 5,820,712.0 | NaN | 98290.0 | 3.40 |
| 92 | Latvia | LVA | 2017 | Import | 19,423,554.0 | 4,799,904.0 | NaN | 79637.0 | 4.05 |
| 93 | Zimbabwe | ZWE | 2017 | Import | 189,453.0 | 33,057.0 | NaN | 824.0 | 5.73 |
| 94 | Netherlands | NLD | 2017 | Import | 185,009,351.0 | 44,688,361.0 | NaN | 637301.0 | 4.14 |
| 95 | Kuwait | KWT | 2017 | Import | 18,242,893.0 | 3,956,260.0 | NaN | 77550.0 | 4.61 |
| 96 | Lesotho | LSO | 2017 | Import | 176,644.0 | 13,648.0 | NaN | 827.0 | 12.94 |
| 97 | Costa Rica | CRI | 2017 | Import | 164,835.0 | 66,583.0 | NaN | 730.0 | 2.48 |
| 98 | Russian Federation | RUS | 2017 | Import | 163,865,928.0 | 55,601,554.0 | NaN | 891894.0 | 2.95 |
| 99 | Viet Nam | VNM | 2017 | Import | 158,132,508.0 | 47,643,613.0 | NaN | 740895.0 | 3.32 |
| 100 | Oman | OMN | 2017 | Import | 15,513,158.0 | 3,625,084.0 | NaN | 68773.0 | 4.28 |
| 101 | Tunisia | TUN | 2017 | Import | 14,488,616.0 | 4,753,918.0 | NaN | 85387.0 | 3.05 |
| 102 | Estonia | EST | 2017 | Import | 14,313,094.0 | 3,676,452.0 | NaN | 59596.0 | 3.89 |
| 103 | Paraguay | PRY | 2017 | Import | 14,113,506.0 | 4,349,689.0 | NaN | 62568.0 | 3.24 |
| 104 | Belgium | BEL | 2017 | Import | 136,275,862.0 | 38,205,305.0 | NaN | 604141.0 | 3.57 |
| 105 | Uruguay | URY | 2017 | Import | 13,944,792.0 | 5,067,850.0 | NaN | 112720.0 | 2.75 |
| 106 | Jordan | JOR | 2017 | Import | 13,705,522.0 | 4,277,060.0 | NaN | 542057.0 | 3.20 |
| 107 | Bosnia Herzegovina | BIH | 2017 | Import | 13,703,756.0 | 4,524,625.0 | NaN | 60751.0 | 3.03 |
| 108 | Austria | AUT | 2017 | Import | 124,369,663.0 | 31,767,800.0 | NaN | 551358.0 | 3.91 |
| 109 | Romania | ROU | 2017 | Import | 121,096,236.0 | 42,567,442.0 | NaN | 682951.0 | 2.84 |
| 110 | Nicaragua | NIC | 2017 | Import | 120,735.0 | 37,179.0 | NaN | 535.0 | 3.25 |
| 111 | Czechia | CZE | 2017 | Import | 109,648,457.0 | 30,273,575.0 | NaN | 494018.0 | 3.62 |
| 112 | Rep. of Moldova | MDA | 2017 | Import | 10,765,425.0 | 3,073,613.0 | NaN | 50504.0 | 3.50 |
| 113 | Jamaica | JAM | 2017 | Import | 10,338,382.0 | 2,758,482.0 | NaN | 45057.0 | 3.75 |
| 114 | Pakistan | PAK | 2017 | Import | 10,118,248.0 | 3,157,585.0 | NaN | 86692.0 | 3.20 |
| 115 | Fiji | FJI | 2017 | Import | 1,832,575.0 | 571,889.0 | NaN | 14639.0 | 3.20 |
| 116 | Belize | BLZ | 2017 | Import | 1,648,934.0 | 1,278,425.0 | NaN | 7186.0 | 1.29 |
| 117 | Brunei Darussalam | BRN | 2017 | Import | 1,619,764.0 | 505,477.0 | NaN | 14793.0 | 3.20 |
| 118 | Botswana | BWA | 2017 | Import | 1,168,201.0 | 169,643.0 | NaN | 5091.0 | 6.89 |
| 119 | Ghana | GHA | 2017 | Import | 1,124,283.0 | 486,127.0 | NaN | 4899.0 | 2.31 |