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
“Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.”(HScode:960390)
The graphs that have been shared show the International Trade Price and Weight of
“Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.”(HScode:960390)
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:960390)
Here is a graph which shows export statistics of
960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.(HScode:960390) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.(HScode:960390) 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 “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.” total export value 1,623,363,284.0USD
China is followed by Germany: 264,844,918.0USD
Mexico: 114,858,632.0USD
Italy: 103,262,871.0USD
USA: 86,081,090.0USD and
Czechia: 79,128,829.0USD
China is followed by Germany: 264,844,918.0USD
Mexico: 114,858,632.0USD
Italy: 103,262,871.0USD
USA: 86,081,090.0USD and
Czechia: 79,128,829.0USD
Supplier country’s “export value per KG” of (HScode:960390)
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 “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.” at the lowest price of 0.75USD/KG Armenia is followed by Belarus1.07USD/KG, Lesotho1.55USD/KG, Guatemala1.55USD/KG, Congo1.61USD/KG, and Japan1.77USD/KG
Import Trade Statistics of (HScode:960390)
The statistics show the ranking of
960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.(HScode:960390) worldwide in 2017
960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.(HScode:960390) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.” Total import value 737,814,431.0USD
USA is followed by Germany: 223,924,126.0USD
France: 164,465,351.0USD
United Kingdom: 120,576,929.0USD
Japan: 110,046,616.0USD and
Canada: 104,478,982.0USD
USA ranked first in imports of “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.” Total import value 737,814,431.0USD
USA is followed by Germany: 223,924,126.0USD
France: 164,465,351.0USD
United Kingdom: 120,576,929.0USD
Japan: 110,046,616.0USD and
Canada: 104,478,982.0USD
Buyer country’s “import Value per KG” of (HScode:960390)
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.
Switzerland ranked first in imports “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.” at the highest price of 10.58/KG Switzerland is followed by Norway, Luxembourg, Estonia, Iceland, and Japan
Table data of “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.”(HS:960390)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Dominican Rep. | DOM | 2017 | Export | 929,173.0 | 120,394.0 | NaN | 1.087593e+06 | 7.72 |
| 1 | Ecuador | ECU | 2017 | Export | 90,147.0 | 11,548.0 | NaN | 9.315400e+04 | 7.81 |
| 2 | South Africa | ZAF | 2017 | Export | 9,670,167.0 | 1,252,982.0 | NaN | 4.887854e+06 | 7.72 |
| 3 | El Salvador | SLV | 2017 | Export | 9,633,841.0 | 5,450,868.0 | NaN | 1.127637e+07 | 1.77 |
| 4 | Brazil | BRA | 2017 | Export | 9,491,763.0 | 2,715,119.0 | NaN | 1.044077e+07 | 3.50 |
| 5 | Lesotho | LSO | 2017 | Export | 89,656.0 | 58,010.0 | NaN | 0.000000e+00 | 1.55 |
| 6 | Latvia | LVA | 2017 | Export | 852,077.0 | 111,862.0 | NaN | 9.426070e+05 | 7.62 |
| 7 | Colombia | COL | 2017 | Export | 8,564,209.0 | 3,243,282.0 | NaN | 0.000000e+00 | 2.64 |
| 8 | Slovakia | SVK | 2017 | Export | 8,449,723.0 | 2,197,521.0 | NaN | 0.000000e+00 | 3.85 |
| 9 | Armenia | ARM | 2017 | Export | 8,373.0 | 11,190.0 | NaN | 6.037400e+04 | 0.75 |
| 10 | Czechia | CZE | 2017 | Export | 79,128,829.0 | 13,707,629.0 | NaN | 9.115092e+07 | 5.77 |
| 11 | Malaysia | MYS | 2017 | Export | 7,941,439.0 | 1,028,988.0 | NaN | 0.000000e+00 | 7.72 |
| 12 | Hungary | HUN | 2017 | Export | 7,210,971.0 | 3,261,879.0 | NaN | 8.077302e+06 | 2.21 |
| 13 | Belgium | BEL | 2017 | Export | 66,608,277.0 | 11,662,917.0 | NaN | 7.796471e+07 | 5.71 |
| 14 | Lebanon | LBN | 2017 | Export | 65,651.0 | 15,903.0 | NaN | 7.684400e+04 | 4.13 |
| 15 | Uruguay | URY | 2017 | Export | 617,514.0 | 112,680.0 | NaN | 4.956900e+05 | 5.48 |
| 16 | Argentina | ARG | 2017 | Export | 610,037.0 | 97,706.0 | NaN | 3.258020e+05 | 6.24 |
| 17 | Algeria | DZA | 2017 | Export | 60,389.0 | 14,692.0 | NaN | 7.068600e+04 | 4.11 |
| 18 | Singapore | SGP | 2017 | Export | 6,586,220.0 | 853,389.0 | NaN | 6.271550e+05 | 7.72 |
| 19 | Honduras | HND | 2017 | Export | 6,021,138.0 | 2,269,587.0 | NaN | 7.039294e+06 | 2.65 |
| 20 | Netherlands | NLD | 2017 | Export | 54,610,887.0 | 12,061,642.0 | NaN | 6.085486e+07 | 4.53 |
| 21 | Costa Rica | CRI | 2017 | Export | 527,551.0 | 177,110.0 | NaN | 6.174970e+05 | 2.98 |
| 22 | Poland | POL | 2017 | Export | 50,552,702.0 | 11,757,201.0 | NaN | 0.000000e+00 | 4.30 |
| 23 | India | IND | 2017 | Export | 5,588,610.0 | 724,127.0 | NaN | 1.302327e+07 | 7.72 |
| 24 | Oman | OMN | 2017 | Export | 491,599.0 | 208,384.0 | NaN | 0.000000e+00 | 2.36 |
| 25 | Kuwait | KWT | 2017 | Export | 49,151.0 | 11,393.0 | NaN | 1.662900e+04 | 4.31 |
| 26 | Kazakhstan | KAZ | 2017 | Export | 48,331.0 | 11,502.0 | NaN | 5.657100e+04 | 4.20 |
| 27 | Egypt | EGY | 2017 | Export | 437,554.0 | 56,694.0 | NaN | 0.000000e+00 | 7.72 |
| 28 | Ireland | IRL | 2017 | Export | 432,158.0 | 54,870.0 | NaN | 5.058390e+05 | 7.88 |
| 29 | Jordan | JOR | 2017 | Export | 4,944,468.0 | 1,147,407.0 | NaN | 1.147407e+06 | 4.31 |
| 30 | Guatemala | GTM | 2017 | Export | 4,901,007.0 | 3,161,962.0 | NaN | 0.000000e+00 | 1.55 |
| 31 | Rep. of Korea | KOR | 2017 | Export | 4,430,656.0 | 488,225.0 | NaN | 5.186064e+06 | 9.08 |
| 32 | Denmark | DNK | 2017 | Export | 39,853,235.0 | 5,163,862.0 | NaN | 4.664805e+07 | 7.72 |
| 33 | Spain | ESP | 2017 | Export | 33,240,354.0 | 6,428,712.0 | NaN | 3.890770e+07 | 5.17 |
| 34 | Bulgaria | BGR | 2017 | Export | 322,481.0 | 52,071.0 | NaN | 3.770760e+05 | 6.19 |
| 35 | Georgia | GEO | 2017 | Export | 318,423.0 | 62,359.0 | NaN | 3.116210e+05 | 5.11 |
| 36 | France | FRA | 2017 | Export | 31,230,807.0 | 4,088,804.0 | NaN | 3.655489e+07 | 7.64 |
| 37 | Russian Federation | RUS | 2017 | Export | 3,796,466.0 | 719,946.0 | NaN | 0.000000e+00 | 5.27 |
| 38 | Finland | FIN | 2017 | Export | 3,583,544.0 | 293,063.0 | NaN | 0.000000e+00 | 12.23 |
| 39 | Australia | AUS | 2017 | Export | 3,466,156.0 | 449,116.0 | NaN | 0.000000e+00 | 7.72 |
| 40 | Portugal | PRT | 2017 | Export | 3,109,635.0 | 787,616.0 | NaN | 3.496210e+06 | 3.95 |
| 41 | Germany | DEU | 2017 | Export | 264,844,918.0 | 23,319,468.0 | NaN | 0.000000e+00 | 11.36 |
| 42 | United Kingdom | GBR | 2017 | Export | 26,982,546.0 | 2,657,291.0 | NaN | 0.000000e+00 | 10.15 |
| 43 | China, Hong Kong SAR | HKG | 2017 | Export | 22,812,927.0 | 2,955,916.0 | NaN | 7.511646e+07 | 7.72 |
| 44 | Luxembourg | LUX | 2017 | Export | 214,156.0 | 30,160.0 | NaN | 0.000000e+00 | 7.10 |
| 45 | Philippines | PHL | 2017 | Export | 21,220,669.0 | 1,930,542.0 | NaN | 3.651161e+06 | 10.99 |
| 46 | Kenya | KEN | 2017 | Export | 207,341.0 | 89,752.0 | NaN | 0.000000e+00 | 2.31 |
| 47 | Romania | ROU | 2017 | Export | 2,624,303.0 | 811,553.0 | NaN | 4.889677e+06 | 3.23 |
| 48 | Estonia | EST | 2017 | Export | 2,306,772.0 | 308,075.0 | NaN | 2.603296e+06 | 7.49 |
| 49 | Israel | ISR | 2017 | Export | 2,109,000.0 | 273,267.0 | NaN | 2.468575e+06 | 7.72 |
| 50 | Belarus | BLR | 2017 | Export | 2,004,200.0 | 1,877,657.0 | NaN | 8.755118e+06 | 1.07 |
| 51 | Congo | COG | 2017 | Export | 199,270.0 | 123,822.0 | NaN | 2.332450e+05 | 1.61 |
| 52 | Bosnia Herzegovina | BIH | 2017 | Export | 193,632.0 | 25,765.0 | NaN | 2.266450e+05 | 7.52 |
| 53 | Turkey | TUR | 2017 | Export | 19,029,162.0 | 5,652,372.0 | NaN | 2.263599e+07 | 3.37 |
| 54 | Peru | PER | 2017 | Export | 186,719.0 | 51,855.0 | NaN | 2.185540e+05 | 3.60 |
| 55 | Austria | AUT | 2017 | Export | 17,969,409.0 | 1,790,845.0 | NaN | 2.103312e+07 | 10.03 |
| 56 | Sweden | SWE | 2017 | Export | 17,834,319.0 | 2,143,650.0 | NaN | 0.000000e+00 | 8.32 |
| 57 | Japan | JPN | 2017 | Export | 16,993,619.0 | 386,939.0 | NaN | 1.989096e+07 | 43.92 |
| 58 | Norway | NOR | 2017 | Export | 145,955.0 | 21,830.0 | NaN | 6.153600e+04 | 6.69 |
| 59 | Lithuania | LTU | 2017 | Export | 13,191,838.0 | 2,820,150.0 | NaN | 3.497050e+05 | 4.68 |
| 60 | Mexico | MEX | 2017 | Export | 114,858,632.0 | 14,882,459.0 | NaN | 2.570482e+08 | 7.72 |
| 61 | Italy | ITA | 2017 | Export | 103,262,871.0 | 17,529,772.0 | NaN | 0.000000e+00 | 5.89 |
| 62 | Switzerland | CHE | 2017 | Export | 10,439,639.0 | 444,194.0 | NaN | 1.221955e+07 | 23.50 |
| 63 | Viet Nam | VNM | 2017 | Export | 10,242,880.0 | 1,230,823.0 | NaN | 0.000000e+00 | 8.32 |
| 64 | Indonesia | IDN | 2017 | Export | 1,801,996.0 | 666,469.0 | NaN | 0.000000e+00 | 2.70 |
| 65 | China | CHN | 2017 | Export | 1,623,363,284.0 | 210,342,387.0 | NaN | 1.900140e+09 | 7.72 |
| 66 | Ukraine | UKR | 2017 | Export | 1,526,035.0 | 621,707.0 | NaN | 0.000000e+00 | 2.45 |
| 67 | Serbia | SRB | 2017 | Export | 1,371,546.0 | 443,322.0 | NaN | 1.605388e+06 | 3.09 |
| 68 | Chile | CHL | 2017 | Export | 1,280,345.0 | 165,896.0 | NaN | 2.774550e+05 | 7.72 |
| 69 | Tunisia | TUN | 2017 | Export | 1,234,695.0 | 470,496.0 | NaN | 2.119062e+06 | 2.62 |
| 70 | Greece | GRC | 2017 | Export | 1,205,944.0 | 275,914.0 | NaN | 1.411553e+06 | 4.37 |
| 71 | Morocco | MAR | 2017 | Export | 1,196,900.0 | 100,022.0 | NaN | 0.000000e+00 | 11.97 |
Table data of “960390 – Brooms, brushes, mops, feather dusters, squeegees, hand operated mechanical floor sweepers; (not motorised), prepared knots and tufts for brooms or brush making n.e.c.”(HS:960390)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Zambia | ZMB | 2017 | Import | 966,905.0 | 405,705.0 | NaN | 707867.0 | 2.38 |
| 1 | Armenia | ARM | 2017 | Import | 913,914.0 | 483,737.0 | NaN | 1471110.0 | 1.89 |
| 2 | Israel | ISR | 2017 | Import | 9,124,000.0 | 1,498,992.0 | NaN | 8385371.0 | 6.09 |
| 3 | Botswana | BWA | 2017 | Import | 880,244.0 | 878,885.0 | NaN | 585627.0 | 1.00 |
| 4 | Netherlands | NLD | 2017 | Import | 88,595,375.0 | 17,230,070.0 | NaN | 63761224.0 | 5.14 |
| 5 | Montenegro | MNE | 2017 | Import | 878,473.0 | 153,285.0 | NaN | 620724.0 | 5.73 |
| 6 | Côte d’Ivoire | CIV | 2017 | Import | 853,304.0 | 467,199.0 | NaN | 567704.0 | 1.83 |
| 7 | Egypt | EGY | 2017 | Import | 8,616,234.0 | 1,415,571.0 | NaN | 5732387.0 | 6.09 |
| 8 | Lithuania | LTU | 2017 | Import | 8,106,086.0 | 1,198,062.0 | NaN | 5760931.0 | 6.77 |
| 9 | Maldives | MDV | 2017 | Import | 760,871.0 | 1,249,227.0 | NaN | 0.0 | 0.61 |
| 10 | Belgium | BEL | 2017 | Import | 74,532,512.0 | 12,973,690.0 | NaN | 54564983.0 | 5.74 |
| 11 | USA | USA | 2017 | Import | 737,814,431.0 | 121,216,388.0 | NaN | 540151285.0 | 6.09 |
| 12 | Togo | TGO | 2017 | Import | 73,740.0 | 119,818.0 | NaN | 12843.0 | 0.62 |
| 13 | Solomon Isds | SLB | 2017 | Import | 72,248.0 | 11,869.0 | NaN | 26650.0 | 6.09 |
| 14 | United Rep. of Tanzania | TZA | 2017 | Import | 704,607.0 | 1,214,721.0 | NaN | 515840.0 | 0.58 |
| 15 | Morocco | MAR | 2017 | Import | 7,236,781.0 | 1,787,915.0 | NaN | 0.0 | 4.05 |
| 16 | Iran | IRN | 2017 | Import | 7,183,318.0 | 2,767,381.0 | NaN | 0.0 | 2.60 |
| 17 | Brunei Darussalam | BRN | 2017 | Import | 695,239.0 | 114,221.0 | NaN | 580935.0 | 6.09 |
| 18 | Italy | ITA | 2017 | Import | 68,129,019.0 | 11,418,165.0 | NaN | 48856734.0 | 5.97 |
| 19 | Mali | MLI | 2017 | Import | 64,039.0 | 57,267.0 | NaN | 42605.0 | 1.12 |
| 20 | Russian Federation | RUS | 2017 | Import | 63,800,472.0 | 17,443,219.0 | NaN | 0.0 | 3.66 |
| 21 | Madagascar | MDG | 2017 | Import | 544,771.0 | 336,498.0 | NaN | 398824.0 | 1.62 |
| 22 | Congo | COG | 2017 | Import | 526,815.0 | 300,133.0 | NaN | 385679.0 | 1.76 |
| 23 | Belarus | BLR | 2017 | Import | 5,779,600.0 | 2,123,695.0 | NaN | 10778533.0 | 2.72 |
| 24 | Peru | PER | 2017 | Import | 5,362,211.0 | 1,132,312.0 | NaN | 7837642.0 | 4.74 |
| 25 | Kuwait | KWT | 2017 | Import | 5,203,039.0 | 1,283,826.0 | NaN | 0.0 | 4.05 |
| 26 | Paraguay | PRY | 2017 | Import | 5,165,467.0 | 1,526,903.0 | NaN | 3781619.0 | 3.38 |
| 27 | Ecuador | ECU | 2017 | Import | 5,139,613.0 | 1,728,070.0 | NaN | 7361656.0 | 2.97 |
| 28 | Bulgaria | BGR | 2017 | Import | 5,063,701.0 | 1,462,343.0 | NaN | 3674514.0 | 3.46 |
| 29 | Albania | ALB | 2017 | Import | 473,510.0 | 123,787.0 | NaN | 699756.0 | 3.83 |
| 30 | Poland | POL | 2017 | Import | 47,372,332.0 | 9,407,830.0 | NaN | 0.0 | 5.04 |
| 31 | Austria | AUT | 2017 | Import | 47,128,242.0 | 6,178,313.0 | NaN | 34502416.0 | 7.63 |
| 32 | Singapore | SGP | 2017 | Import | 43,682,174.0 | 7,176,595.0 | NaN | 0.0 | 6.09 |
| 33 | Uganda | UGA | 2017 | Import | 417,963.0 | 513,403.0 | NaN | 1307433.0 | 0.81 |
| 34 | Benin | BEN | 2017 | Import | 401,910.0 | 504,139.0 | NaN | 267391.0 | 0.80 |
| 35 | Kazakhstan | KAZ | 2017 | Import | 4,910,850.0 | 1,528,157.0 | NaN | 3595215.0 | 3.21 |
| 36 | Argentina | ARG | 2017 | Import | 4,794,156.0 | 1,019,318.0 | NaN | 3918684.0 | 4.70 |
| 37 | Estonia | EST | 2017 | Import | 4,765,855.0 | 607,068.0 | NaN | 3330210.0 | 7.85 |
| 38 | Costa Rica | CRI | 2017 | Import | 4,503,009.0 | 1,173,970.0 | NaN | 3296637.0 | 3.84 |
| 39 | Guatemala | GTM | 2017 | Import | 4,457,341.0 | 1,911,919.0 | NaN | 0.0 | 2.33 |
| 40 | Colombia | COL | 2017 | Import | 4,414,842.0 | 880,853.0 | NaN | 5491779.0 | 5.01 |
| 41 | Sri Lanka | LKA | 2017 | Import | 367,505.0 | 60,377.0 | NaN | 1646355.0 | 6.09 |
| 42 | Sweden | SWE | 2017 | Import | 36,021,155.0 | 5,229,192.0 | NaN | 0.0 | 6.89 |
| 43 | Lesotho | LSO | 2017 | Import | 353,846.0 | 394,470.0 | NaN | 0.0 | 0.90 |
| 44 | Cabo Verde | CPV | 2017 | Import | 347,327.0 | 130,602.0 | NaN | 231077.0 | 2.66 |
| 45 | Saint Lucia | LCA | 2017 | Import | 342,590.0 | 91,799.0 | NaN | 227925.0 | 3.73 |
| 46 | Bermuda | BMU | 2017 | Import | 340,014.0 | 55,861.0 | NaN | 53809.0 | 6.09 |
| 47 | Switzerland | CHE | 2017 | Import | 33,954,506.0 | 3,209,410.0 | NaN | 24857971.0 | 10.58 |
| 48 | Senegal | SEN | 2017 | Import | 321,269.0 | 186,832.0 | NaN | 213741.0 | 1.72 |
| 49 | Rep. of Korea | KOR | 2017 | Import | 32,661,982.0 | 5,678,166.0 | NaN | 23911719.0 | 5.75 |
| 50 | Mexico | MEX | 2017 | Import | 30,887,605.0 | 5,074,560.0 | NaN | 0.0 | 6.09 |
| 51 | Latvia | LVA | 2017 | Import | 3,897,956.0 | 636,821.0 | NaN | 2731231.0 | 6.12 |
| 52 | Honduras | HND | 2017 | Import | 3,660,137.0 | 1,807,797.0 | NaN | 3920781.0 | 2.02 |
| 53 | Dominican Rep. | DOM | 2017 | Import | 3,537,556.0 | 581,189.0 | NaN | 2589832.0 | 6.09 |
| 54 | Luxembourg | LUX | 2017 | Import | 3,495,667.0 | 430,234.0 | NaN | 0.0 | 8.13 |
| 55 | Gambia | GMB | 2017 | Import | 3,394.0 | 10,154.0 | NaN | 2258.0 | 0.33 |
| 56 | Nicaragua | NIC | 2017 | Import | 3,363,055.0 | 1,743,596.0 | NaN | 2462080.0 | 1.93 |
| 57 | Algeria | DZA | 2017 | Import | 3,310,830.0 | 1,212,439.0 | NaN | 2423847.0 | 2.73 |
| 58 | Bosnia Herzegovina | BIH | 2017 | Import | 3,145,886.0 | 652,498.0 | NaN | 2303091.0 | 4.82 |
| 59 | Serbia | SRB | 2017 | Import | 3,130,900.0 | 506,481.0 | NaN | 2292120.0 | 6.18 |
| 60 | Fiji | FJI | 2017 | Import | 295,398.0 | 48,531.0 | NaN | 216259.0 | 6.09 |
| 61 | Sudan | SDN | 2017 | Import | 291,092.0 | 47,823.0 | NaN | 213107.0 | 6.09 |
| 62 | Czechia | CZE | 2017 | Import | 29,848,575.0 | 5,557,936.0 | NaN | 21197736.0 | 5.37 |
| 63 | Mongolia | MNG | 2017 | Import | 289,545.0 | 77,068.0 | NaN | 729161.0 | 3.76 |
| 64 | Indonesia | IDN | 2017 | Import | 28,162,822.0 | 11,607,651.0 | NaN | 0.0 | 2.43 |
| 65 | Swaziland | SWZ | 2017 | Import | 276,672.0 | 95,644.0 | NaN | 174752.0 | 2.89 |
| 66 | Belize | BLZ | 2017 | Import | 269,662.0 | 203,217.0 | NaN | 179406.0 | 1.33 |
| 67 | Denmark | DNK | 2017 | Import | 26,979,198.0 | 4,432,443.0 | NaN | 19751373.0 | 6.09 |
| 68 | Malaysia | MYS | 2017 | Import | 26,873,720.0 | 4,415,114.0 | NaN | 42869523.0 | 6.09 |
| 69 | Zimbabwe | ZWE | 2017 | Import | 246,011.0 | 75,140.0 | NaN | 0.0 | 3.27 |
| 70 | India | IND | 2017 | Import | 24,595,295.0 | 4,040,789.0 | NaN | 111096980.0 | 6.09 |
| 71 | Germany | DEU | 2017 | Import | 223,924,126.0 | 38,741,548.0 | NaN | 153489413.0 | 5.78 |
| 72 | Viet Nam | VNM | 2017 | Import | 20,047,691.0 | 3,370,736.0 | NaN | 0.0 | 5.95 |
| 73 | Oman | OMN | 2017 | Import | 2,986,514.0 | 797,304.0 | NaN | 2186416.0 | 3.75 |
| 74 | Uruguay | URY | 2017 | Import | 2,806,480.0 | 844,894.0 | NaN | 2479315.0 | 3.32 |
| 75 | Lebanon | LBN | 2017 | Import | 2,796,596.0 | 604,186.0 | NaN | 2047377.0 | 4.63 |
| 76 | Nigeria | NGA | 2017 | Import | 2,648,098.0 | 435,059.0 | NaN | 1761782.0 | 6.09 |
| 77 | Cyprus | CYP | 2017 | Import | 2,353,229.0 | 538,487.0 | NaN | 0.0 | 4.37 |
| 78 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 2,277,820.0 | 643,163.0 | NaN | 3355183.0 | 3.54 |
| 79 | Tunisia | TUN | 2017 | Import | 2,098,365.0 | 319,699.0 | NaN | 6357708.0 | 6.56 |
| 80 | Aruba | ABW | 2017 | Import | 186,013.0 | 42,185.0 | NaN | 123754.0 | 4.41 |
| 81 | Malawi | MWI | 2017 | Import | 185,300.0 | 75,472.0 | NaN | 58785.0 | 2.46 |
| 82 | Norway | NOR | 2017 | Import | 18,116,168.0 | 1,787,952.0 | NaN | 9095189.0 | 10.13 |
| 83 | China, Hong Kong SAR | HKG | 2017 | Import | 17,876,339.0 | 2,936,924.0 | NaN | 41274761.0 | 6.09 |
| 84 | South Africa | ZAF | 2017 | Import | 17,571,026.0 | 2,886,764.0 | NaN | 19710900.0 | 6.09 |
| 85 | Mauritania | MRT | 2017 | Import | 17,286.0 | 43,665.0 | NaN | 11500.0 | 0.40 |
| 86 | France | FRA | 2017 | Import | 164,465,351.0 | 27,857,523.0 | NaN | 120364656.0 | 5.90 |
| 87 | Philippines | PHL | 2017 | Import | 16,476,842.0 | 8,505,075.0 | NaN | 18412263.0 | 1.94 |
| 88 | China | CHN | 2017 | Import | 15,520,489.0 | 2,549,879.0 | NaN | 11362494.0 | 6.09 |
| 89 | Romania | ROU | 2017 | Import | 15,081,278.0 | 3,499,289.0 | NaN | 10867751.0 | 4.31 |
| 90 | Hungary | HUN | 2017 | Import | 13,070,546.0 | 2,737,834.0 | NaN | 9239875.0 | 4.77 |
| 91 | United Kingdom | GBR | 2017 | Import | 120,576,929.0 | 23,539,549.0 | NaN | 86234734.0 | 5.12 |
| 92 | Chile | CHL | 2017 | Import | 12,942,590.0 | 2,126,353.0 | NaN | 18443699.0 | 6.09 |
| 93 | Burkina Faso | BFA | 2017 | Import | 117,388.0 | 178,509.0 | NaN | 78098.0 | 0.66 |
| 94 | Japan | JPN | 2017 | Import | 110,046,616.0 | 14,304,274.0 | NaN | 80564731.0 | 7.69 |
| 95 | Portugal | PRT | 2017 | Import | 11,872,367.0 | 2,323,643.0 | NaN | 8569277.0 | 5.11 |
| 96 | Ukraine | UKR | 2017 | Import | 11,497,138.0 | 4,027,874.0 | NaN | 7583450.0 | 2.85 |
| 97 | Burundi | BDI | 2017 | Import | 11,436.0 | 21,184.0 | NaN | 1475.0 | 0.54 |
| 98 | Ireland | IRL | 2017 | Import | 11,269,339.0 | 1,692,552.0 | NaN | 8250242.0 | 6.66 |
| 99 | Turkey | TUR | 2017 | Import | 11,218,634.0 | 2,110,786.0 | NaN | 8021989.0 | 5.31 |
| 100 | Slovakia | SVK | 2017 | Import | 10,542,933.0 | 2,291,137.0 | NaN | 0.0 | 4.60 |
| 101 | Greece | GRC | 2017 | Import | 10,431,201.0 | 1,943,698.0 | NaN | 7636645.0 | 5.37 |
| 102 | Finland | FIN | 2017 | Import | 10,263,680.0 | 1,448,948.0 | NaN | 0.0 | 7.08 |
| 103 | El Salvador | SLV | 2017 | Import | 1,782,795.0 | 695,166.0 | NaN | 1305178.0 | 2.56 |
| 104 | Namibia | NAM | 2017 | Import | 1,689,702.0 | 796,013.0 | NaN | 1237024.0 | 2.12 |
| 105 | Georgia | GEO | 2017 | Import | 1,631,801.0 | 462,828.0 | NaN | 1869918.0 | 3.53 |
| 106 | Jordan | JOR | 2017 | Import | 1,595,707.0 | 433,297.0 | NaN | 1168211.0 | 3.68 |
| 107 | Mauritius | MUS | 2017 | Import | 1,590,485.0 | 261,302.0 | NaN | 2069505.0 | 6.09 |
| 108 | Iceland | ISL | 2017 | Import | 1,580,734.0 | 204,653.0 | NaN | 1157249.0 | 7.72 |
| 109 | Kenya | KEN | 2017 | Import | 1,393,326.0 | 303,887.0 | NaN | 1028050.0 | 4.59 |
| 110 | Rep. of Moldova | MDA | 2017 | Import | 1,344,964.0 | 299,089.0 | NaN | 1609654.0 | 4.50 |
| 111 | Ghana | GHA | 2017 | Import | 1,278,309.0 | 1,446,180.0 | NaN | 850460.0 | 0.88 |
| 112 | Myanmar | MMR | 2017 | Import | 1,273,538.0 | 417,231.0 | NaN | 13509352.0 | 3.05 |
| 113 | Cameroon | CMR | 2017 | Import | 1,212,144.0 | 811,662.0 | NaN | 806440.0 | 1.49 |
| 114 | Nepal | NPL | 2017 | Import | 1,117,355.0 | 183,571.0 | NaN | 5292467.0 | 6.09 |
| 115 | Jamaica | JAM | 2017 | Import | 1,086,762.0 | 1,016,635.0 | NaN | 723024.0 | 1.07 |
| 116 | TFYR of Macedonia | MKD | 2017 | Import | 1,050,178.0 | 267,616.0 | NaN | 712663.0 | 3.92 |
| 117 | Kyrgyzstan | KGZ | 2017 | Import | 1,046,170.0 | 421,363.0 | NaN | 1899226.0 | 2.48 |