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
“Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state”(HScode:480300)
The graphs that have been shared show the International Trade Price and Weight of
“Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state”(HScode:480300)
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:480300)
Here is a graph which shows export statistics of
480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state(HScode:480300) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state(HScode:480300) 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, Indonesia ranked at the top in exports of “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state” total export value 528,744,831.0USD
Indonesia is followed by Italy: 360,796,803.0USD
Turkey: 314,138,691.0USD
China: 274,505,973.0USD
Germany: 244,197,235.0USD and
USA: 234,808,840.0USD
Indonesia is followed by Italy: 360,796,803.0USD
Turkey: 314,138,691.0USD
China: 274,505,973.0USD
Germany: 244,197,235.0USD and
USA: 234,808,840.0USD
Supplier country’s “export value per KG” of (HScode:480300)
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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Ecuador ranked first in Exports “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state” at the lowest price of 0.26USD/KG Ecuador is followed by Rep. of Moldova0.41USD/KG, Paraguay0.48USD/KG, Ghana0.61USD/KG, Ukraine0.62USD/KG, and Palau0.72USD/KG
Import Trade Statistics of (HScode:480300)
The statistics show the ranking of
480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state(HScode:480300) worldwide in 2017
480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state(HScode:480300) worldwide in 2017
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the top importing countries worldwide in 2017
USA ranked first in imports of “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state” Total import value 491,833,932.0USD
USA is followed by United Kingdom: 393,636,624.0USD
Germany: 289,194,879.0USD
Australia: 180,356,704.0USD
Italy: 160,758,238.0USD and
Poland: 147,421,007.0USD
USA ranked first in imports of “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state” Total import value 491,833,932.0USD
USA is followed by United Kingdom: 393,636,624.0USD
Germany: 289,194,879.0USD
Australia: 180,356,704.0USD
Italy: 160,758,238.0USD and
Poland: 147,421,007.0USD
Buyer country’s “import Value per KG” of (HScode:480300)
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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Bermuda ranked first in imports “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state” at the highest price of 3.05/KG Bermuda is followed by Aruba, Brunei Darussalam, Luxembourg, Ireland, and Palau
Table data of “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state”(HS:480300)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Estonia | EST | 2017 | Export | 94,490.0 | 30,657.0 | NaN | 30657.0 | 3.08 |
| 1 | Mexico | MEX | 2017 | Export | 92,172,055.0 | 85,754,681.0 | NaN | 85754681.0 | 1.07 |
| 2 | Belarus | BLR | 2017 | Export | 9,203,700.0 | 12,813,989.0 | NaN | 12813989.0 | 0.72 |
| 3 | Rep. of Moldova | MDA | 2017 | Export | 897,444.0 | 2,212,522.0 | NaN | 2212522.0 | 0.41 |
| 4 | Costa Rica | CRI | 2017 | Export | 88,443.0 | 55,336.0 | NaN | 55336.0 | 1.60 |
| 5 | Honduras | HND | 2017 | Export | 87,039.0 | 40,552.0 | NaN | 40552.0 | 2.15 |
| 6 | Dominican Rep. | DOM | 2017 | Export | 86,070.0 | 67,947.0 | NaN | 67947.0 | 1.27 |
| 7 | New Zealand | NZL | 2017 | Export | 837,910.0 | 528,583.0 | NaN | 528583.0 | 1.59 |
| 8 | Colombia | COL | 2017 | Export | 8,322,051.0 | 6,555,618.0 | NaN | 6555618.0 | 1.27 |
| 9 | Morocco | MAR | 2017 | Export | 8,142,686.0 | 7,440,073.0 | NaN | 7440073.0 | 1.09 |
| 10 | Côte d’Ivoire | CIV | 2017 | Export | 79,468.0 | 65,453.0 | NaN | 65453.0 | 1.21 |
| 11 | Ireland | IRL | 2017 | Export | 770,930.0 | 190,866.0 | NaN | 190866.0 | 4.04 |
| 12 | Nicaragua | NIC | 2017 | Export | 73,276.0 | 54,947.0 | NaN | 54947.0 | 1.33 |
| 13 | Jordan | JOR | 2017 | Export | 64,656,984.0 | 55,174,666.0 | NaN | 55174666.0 | 1.17 |
| 14 | Romania | ROU | 2017 | Export | 64,152,575.0 | 60,384,343.0 | NaN | 60384343.0 | 1.06 |
| 15 | TFYR of Macedonia | MKD | 2017 | Export | 62,929.0 | 47,122.0 | NaN | 47122.0 | 1.34 |
| 16 | Ukraine | UKR | 2017 | Export | 6,841,700.0 | 11,047,382.0 | NaN | 11047382.0 | 0.62 |
| 17 | Philippines | PHL | 2017 | Export | 6,638,423.0 | 6,743,968.0 | NaN | 6414642.0 | 0.98 |
| 18 | Poland | POL | 2017 | Export | 59,935,036.0 | 58,540,635.0 | NaN | 58540635.0 | 1.02 |
| 19 | Egypt | EGY | 2017 | Export | 56,801,473.0 | 44,841,357.0 | NaN | 44841357.0 | 1.27 |
| 20 | Indonesia | IDN | 2017 | Export | 528,744,831.0 | 546,205,216.0 | NaN | 546205216.0 | 0.97 |
| 21 | Oman | OMN | 2017 | Export | 525,048.0 | 380,723.0 | NaN | 380723.0 | 1.38 |
| 22 | Paraguay | PRY | 2017 | Export | 50,217.0 | 105,670.0 | NaN | 105670.0 | 0.48 |
| 23 | Tunisia | TUN | 2017 | Export | 46,416,791.0 | 44,517,857.0 | NaN | 0.0 | 1.04 |
| 24 | Belgium | BEL | 2017 | Export | 45,891,760.0 | 19,384,582.0 | NaN | 19384582.0 | 2.37 |
| 25 | Netherlands | NLD | 2017 | Export | 44,161,810.0 | 26,508,346.0 | NaN | 26508346.0 | 1.67 |
| 26 | Kenya | KEN | 2017 | Export | 433,137.0 | 229,173.0 | NaN | 229173.0 | 1.89 |
| 27 | Finland | FIN | 2017 | Export | 41,737,200.0 | 41,038,961.0 | NaN | 41038961.0 | 1.02 |
| 28 | Uruguay | URY | 2017 | Export | 4,993,208.0 | 3,536,999.0 | NaN | 3536999.0 | 1.41 |
| 29 | Ghana | GHA | 2017 | Export | 394,670.0 | 648,820.0 | NaN | 648820.0 | 0.61 |
| 30 | Portugal | PRT | 2017 | Export | 37,004,797.0 | 35,005,983.0 | NaN | 35005983.0 | 1.06 |
| 31 | Italy | ITA | 2017 | Export | 360,796,803.0 | 307,847,086.0 | NaN | 307847086.0 | 1.17 |
| 32 | Russian Federation | RUS | 2017 | Export | 36,618,710.0 | 51,003,009.0 | NaN | 51003009.0 | 0.72 |
| 33 | Ecuador | ECU | 2017 | Export | 355,670.0 | 1,362,920.0 | NaN | 1362920.0 | 0.26 |
| 34 | Kazakhstan | KAZ | 2017 | Export | 34,667.0 | 21,423.0 | NaN | 21423.0 | 1.62 |
| 35 | Norway | NOR | 2017 | Export | 326,686.0 | 49,652.0 | NaN | 49652.0 | 6.58 |
| 36 | Turkey | TUR | 2017 | Export | 314,138,691.0 | 314,847,024.0 | NaN | 314847024.0 | 1.00 |
| 37 | India | IND | 2017 | Export | 30,527,315.0 | 28,972,400.0 | NaN | 28972400.0 | 1.05 |
| 38 | Australia | AUS | 2017 | Export | 3,737,264.0 | 2,040,590.0 | NaN | 2040590.0 | 1.83 |
| 39 | Algeria | DZA | 2017 | Export | 3,527,993.0 | 3,437,076.0 | NaN | 3437076.0 | 1.03 |
| 40 | Rep. of Korea | KOR | 2017 | Export | 29,882,261.0 | 12,860,077.0 | NaN | 12860077.0 | 2.32 |
| 41 | Israel | ISR | 2017 | Export | 288,000.0 | 227,358.0 | NaN | 227358.0 | 1.27 |
| 42 | Chile | CHL | 2017 | Export | 28,801,940.0 | 25,923,915.0 | NaN | 25923915.0 | 1.11 |
| 43 | China | CHN | 2017 | Export | 274,505,973.0 | 195,768,845.0 | NaN | 195768845.0 | 1.40 |
| 44 | Mauritius | MUS | 2017 | Export | 26,517.0 | 12,357.0 | NaN | 12357.0 | 2.15 |
| 45 | Bosnia Herzegovina | BIH | 2017 | Export | 25,659,509.0 | 25,112,104.0 | NaN | 25112104.0 | 1.02 |
| 46 | Greece | GRC | 2017 | Export | 25,464,172.0 | 18,701,453.0 | NaN | 18701453.0 | 1.36 |
| 47 | Germany | DEU | 2017 | Export | 244,197,235.0 | 136,631,617.0 | NaN | 136631617.0 | 1.79 |
| 48 | Brazil | BRA | 2017 | Export | 24,926,874.0 | 19,267,289.0 | NaN | 19267289.0 | 1.29 |
| 49 | Cyprus | CYP | 2017 | Export | 24,584.0 | 18,792.0 | NaN | 18792.0 | 1.31 |
| 50 | Kuwait | KWT | 2017 | Export | 239,421.0 | 95,380.0 | NaN | 95380.0 | 2.51 |
| 51 | USA | USA | 2017 | Export | 234,808,840.0 | 192,224,036.0 | NaN | 192224036.0 | 1.22 |
| 52 | El Salvador | SLV | 2017 | Export | 23,748,072.0 | 18,251,465.0 | NaN | 18251465.0 | 1.30 |
| 53 | Japan | JPN | 2017 | Export | 23,377,481.0 | 7,708,558.0 | NaN | 7708558.0 | 3.03 |
| 54 | Lebanon | LBN | 2017 | Export | 212,630.0 | 146,084.0 | NaN | 146084.0 | 1.46 |
| 55 | Switzerland | CHE | 2017 | Export | 21,022,628.0 | 17,872,368.0 | NaN | 17872368.0 | 1.18 |
| 56 | Slovakia | SVK | 2017 | Export | 20,346,671.0 | 19,023,135.0 | NaN | 19023135.0 | 1.07 |
| 57 | Czechia | CZE | 2017 | Export | 2,782,519.0 | 1,755,074.0 | NaN | 1755074.0 | 1.59 |
| 58 | Nigeria | NGA | 2017 | Export | 2,292,738.0 | 1,809,979.0 | NaN | 1809979.0 | 1.27 |
| 59 | Malaysia | MYS | 2017 | Export | 2,130,955.0 | 1,543,985.0 | NaN | 1543985.0 | 1.38 |
| 60 | Luxembourg | LUX | 2017 | Export | 197,902.0 | 58,150.0 | NaN | 58150.0 | 3.40 |
| 61 | Jamaica | JAM | 2017 | Export | 19,103.0 | 21,741.0 | NaN | 21741.0 | 0.88 |
| 62 | Sweden | SWE | 2017 | Export | 185,820,417.0 | 108,968,098.0 | NaN | 108968098.0 | 1.71 |
| 63 | China, Hong Kong SAR | HKG | 2017 | Export | 172,266.0 | 104,685.0 | NaN | 104685.0 | 1.65 |
| 64 | Bulgaria | BGR | 2017 | Export | 17,505,501.0 | 16,597,073.0 | NaN | 16597073.0 | 1.05 |
| 65 | Sri Lanka | LKA | 2017 | Export | 17,465.0 | 10,710.0 | NaN | 10710.0 | 1.63 |
| 66 | Lithuania | LTU | 2017 | Export | 16,804,005.0 | 18,006,892.0 | NaN | 18006892.0 | 0.93 |
| 67 | Peru | PER | 2017 | Export | 16,014,546.0 | 12,362,550.0 | NaN | 12362550.0 | 1.30 |
| 68 | Hungary | HUN | 2017 | Export | 15,086,722.0 | 14,506,579.0 | NaN | 14506579.0 | 1.04 |
| 69 | Iran | IRN | 2017 | Export | 13,919,619.0 | 12,084,970.0 | NaN | 12084970.0 | 1.15 |
| 70 | South Africa | ZAF | 2017 | Export | 12,234,009.0 | 12,930,254.0 | NaN | 12930254.0 | 0.95 |
| 71 | Latvia | LVA | 2017 | Export | 111,371.0 | 23,223.0 | NaN | 23223.0 | 4.80 |
| 72 | Austria | AUT | 2017 | Export | 11,415,216.0 | 9,453,718.0 | NaN | 9453718.0 | 1.21 |
| 73 | Argentina | ARG | 2017 | Export | 10,210,004.0 | 7,904,000.0 | NaN | 7904000.0 | 1.29 |
| 74 | Denmark | DNK | 2017 | Export | 1,910,454.0 | 1,508,189.0 | NaN | 1508189.0 | 1.27 |
| 75 | Serbia | SRB | 2017 | Export | 1,530,549.0 | 1,586,729.0 | NaN | 1586729.0 | 0.96 |
| 76 | Singapore | SGP | 2017 | Export | 1,161,225.0 | 613,334.0 | NaN | 0.0 | 1.89 |
| 77 | Uganda | UGA | 2017 | Export | 1,087,461.0 | 1,336,092.0 | NaN | 1336092.0 | 0.81 |
Table data of “480300 – Tissue, towel, napkin stock or similar; for household or sanitary use, cellulose, wadding webs of cellulose fibres, in rolls exceeding 36cm in width or rectangular sheets with one side more than 36cm in unfolded state”(HS:480300)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Lesotho | LSO | 2017 | Import | 98,365.0 | 62,446.0 | NaN | 62446.0 | 1.58 |
| 1 | Mongolia | MNG | 2017 | Import | 968,849.0 | 1,268,262.0 | NaN | 1268262.0 | 0.76 |
| 2 | Indonesia | IDN | 2017 | Import | 9,412,215.0 | 4,425,003.0 | NaN | 4425003.0 | 2.13 |
| 3 | Hungary | HUN | 2017 | Import | 88,419,576.0 | 77,070,953.0 | NaN | 77070953.0 | 1.15 |
| 4 | Rep. of Moldova | MDA | 2017 | Import | 879,563.0 | 1,389,910.0 | NaN | 1389910.0 | 0.63 |
| 5 | Mali | MLI | 2017 | Import | 85,613.0 | 59,749.0 | NaN | 59749.0 | 1.43 |
| 6 | Bermuda | BMU | 2017 | Import | 843,212.0 | 276,167.0 | NaN | 276167.0 | 3.05 |
| 7 | Mexico | MEX | 2017 | Import | 84,477,746.0 | 84,433,991.0 | NaN | 84433991.0 | 1.00 |
| 8 | Albania | ALB | 2017 | Import | 8,684,971.0 | 7,668,634.0 | NaN | 7668634.0 | 1.13 |
| 9 | Kazakhstan | KAZ | 2017 | Import | 8,652,594.0 | 8,207,427.0 | NaN | 8207427.0 | 1.05 |
| 10 | Belgium | BEL | 2017 | Import | 79,402,081.0 | 50,763,112.0 | NaN | 50763112.0 | 1.56 |
| 11 | Netherlands | NLD | 2017 | Import | 73,428,898.0 | 38,971,102.0 | NaN | 38971102.0 | 1.88 |
| 12 | Rep. of Korea | KOR | 2017 | Import | 73,262,214.0 | 64,097,094.0 | NaN | 64097094.0 | 1.14 |
| 13 | Kyrgyzstan | KGZ | 2017 | Import | 704,689.0 | 782,426.0 | NaN | 782426.0 | 0.90 |
| 14 | Ghana | GHA | 2017 | Import | 7,223,122.0 | 7,598,081.0 | NaN | 7598081.0 | 0.95 |
| 15 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 7,134,502.0 | 5,098,139.0 | NaN | 5154077.0 | 1.40 |
| 16 | El Salvador | SLV | 2017 | Import | 7,096,759.0 | 6,283,782.0 | NaN | 6283782.0 | 1.13 |
| 17 | Saint Lucia | LCA | 2017 | Import | 680,796.0 | 493,588.0 | NaN | 493588.0 | 1.38 |
| 18 | Congo | COG | 2017 | Import | 671,201.0 | 422,849.0 | NaN | 422849.0 | 1.59 |
| 19 | Uruguay | URY | 2017 | Import | 662,991.0 | 516,784.0 | NaN | 516784.0 | 1.28 |
| 20 | Malaysia | MYS | 2017 | Import | 66,530,556.0 | 65,230,923.0 | NaN | 65230923.0 | 1.02 |
| 21 | Nicaragua | NIC | 2017 | Import | 624,170.0 | 467,639.0 | NaN | 467639.0 | 1.33 |
| 22 | Estonia | EST | 2017 | Import | 6,972,830.0 | 5,860,654.0 | NaN | 5860654.0 | 1.19 |
| 23 | China, Hong Kong SAR | HKG | 2017 | Import | 6,675,090.0 | 6,014,480.0 | NaN | 6014480.0 | 1.11 |
| 24 | Nigeria | NGA | 2017 | Import | 6,631,804.0 | 5,321,035.0 | NaN | 5321035.0 | 1.25 |
| 25 | Colombia | COL | 2017 | Import | 6,487,661.0 | 3,878,833.0 | NaN | 3878833.0 | 1.67 |
| 26 | Mauritius | MUS | 2017 | Import | 6,260,431.0 | 4,719,672.0 | NaN | 4719672.0 | 1.33 |
| 27 | Senegal | SEN | 2017 | Import | 552,124.0 | 600,970.0 | NaN | 600970.0 | 0.92 |
| 28 | Brunei Darussalam | BRN | 2017 | Import | 527,787.0 | 202,074.0 | NaN | 202074.0 | 2.61 |
| 29 | Oman | OMN | 2017 | Import | 5,749,133.0 | 5,471,664.0 | NaN | 5471664.0 | 1.05 |
| 30 | Fiji | FJI | 2017 | Import | 5,616,196.0 | 3,594,539.0 | NaN | 3594539.0 | 1.56 |
| 31 | Iran | IRN | 2017 | Import | 5,560,113.0 | 4,737,709.0 | NaN | 4737709.0 | 1.17 |
| 32 | Zambia | ZMB | 2017 | Import | 5,510,731.0 | 6,938,670.0 | NaN | 6938670.0 | 0.79 |
| 33 | Georgia | GEO | 2017 | Import | 5,492,086.0 | 4,578,260.0 | NaN | 4578260.0 | 1.20 |
| 34 | Denmark | DNK | 2017 | Import | 5,472,772.0 | 4,391,085.0 | NaN | 4391085.0 | 1.25 |
| 35 | Turkey | TUR | 2017 | Import | 5,020,022.0 | 2,992,249.0 | NaN | 2992249.0 | 1.68 |
| 36 | Montenegro | MNE | 2017 | Import | 493,189.0 | 397,738.0 | NaN | 397738.0 | 1.24 |
| 37 | USA | USA | 2017 | Import | 491,833,932.0 | 394,623,471.0 | NaN | 394623471.0 | 1.25 |
| 38 | Slovakia | SVK | 2017 | Import | 46,383,112.0 | 32,173,175.0 | NaN | 32173175.0 | 1.44 |
| 39 | Gambia | GMB | 2017 | Import | 42,175.0 | 129,287.0 | NaN | 129287.0 | 0.33 |
| 40 | Israel | ISR | 2017 | Import | 41,202,000.0 | 33,058,467.0 | NaN | 33058467.0 | 1.25 |
| 41 | Peru | PER | 2017 | Import | 4,640,291.0 | 3,916,630.0 | NaN | 3916630.0 | 1.18 |
| 42 | Tunisia | TUN | 2017 | Import | 4,399,068.0 | 3,796,080.0 | NaN | 583410.0 | 1.16 |
| 43 | Sri Lanka | LKA | 2017 | Import | 4,374,123.0 | 4,021,632.0 | NaN | 4021632.0 | 1.09 |
| 44 | Cameroon | CMR | 2017 | Import | 4,143,276.0 | 3,055,499.0 | NaN | 3055499.0 | 1.36 |
| 45 | Japan | JPN | 2017 | Import | 38,646,284.0 | 21,189,593.0 | NaN | 21189593.0 | 1.82 |
| 46 | Mauritania | MRT | 2017 | Import | 37,999.0 | 171,908.0 | NaN | 171908.0 | 0.22 |
| 47 | Philippines | PHL | 2017 | Import | 37,634,055.0 | 35,998,414.0 | NaN | 34625086.0 | 1.05 |
| 48 | Ecuador | ECU | 2017 | Import | 36,502,824.0 | 29,191,763.0 | NaN | 29044239.0 | 1.25 |
| 49 | China | CHN | 2017 | Import | 35,959,844.0 | 24,751,809.0 | NaN | 24751809.0 | 1.45 |
| 50 | Czechia | CZE | 2017 | Import | 35,159,395.0 | 31,029,380.0 | NaN | 31029380.0 | 1.13 |
| 51 | Swaziland | SWZ | 2017 | Import | 334,665.0 | 215,903.0 | NaN | 215903.0 | 1.55 |
| 52 | New Zealand | NZL | 2017 | Import | 32,065,491.0 | 25,809,529.0 | NaN | 25809529.0 | 1.24 |
| 53 | Chile | CHL | 2017 | Import | 30,438,252.0 | 21,269,045.0 | NaN | 21269045.0 | 1.43 |
| 54 | Algeria | DZA | 2017 | Import | 3,734,013.0 | 2,508,839.0 | NaN | 2508839.0 | 1.49 |
| 55 | Myanmar | MMR | 2017 | Import | 3,452,046.0 | 7,220,050.0 | NaN | 7220050.0 | 0.48 |
| 56 | Pakistan | PAK | 2017 | Import | 3,419,057.0 | 4,146,818.0 | NaN | 4146818.0 | 0.82 |
| 57 | Belize | BLZ | 2017 | Import | 293,218.0 | 620,616.0 | NaN | 620616.0 | 0.47 |
| 58 | Austria | AUT | 2017 | Import | 29,122,719.0 | 18,081,769.0 | NaN | 18081769.0 | 1.61 |
| 59 | Germany | DEU | 2017 | Import | 289,194,879.0 | 205,148,253.0 | NaN | 205148253.0 | 1.41 |
| 60 | Togo | TGO | 2017 | Import | 289,144.0 | 445,843.0 | NaN | 8218.0 | 0.65 |
| 61 | Aruba | ABW | 2017 | Import | 283,680.0 | 102,333.0 | NaN | 102333.0 | 2.77 |
| 62 | South Africa | ZAF | 2017 | Import | 28,963,713.0 | 25,795,729.0 | NaN | 25795729.0 | 1.12 |
| 63 | Cabo Verde | CPV | 2017 | Import | 28,688.0 | 34,406.0 | NaN | 34406.0 | 0.83 |
| 64 | Bulgaria | BGR | 2017 | Import | 28,124,296.0 | 25,483,571.0 | NaN | 25483571.0 | 1.10 |
| 65 | Sweden | SWE | 2017 | Import | 27,621,399.0 | 18,621,379.0 | NaN | 18621379.0 | 1.48 |
| 66 | Kenya | KEN | 2017 | Import | 26,839,103.0 | 24,394,754.0 | NaN | 24395064.0 | 1.10 |
| 67 | Ireland | IRL | 2017 | Import | 25,456,284.0 | 11,198,855.0 | NaN | 11198855.0 | 2.27 |
| 68 | Argentina | ARG | 2017 | Import | 25,150,671.0 | 18,785,103.0 | NaN | 18785103.0 | 1.34 |
| 69 | Costa Rica | CRI | 2017 | Import | 24,913,746.0 | 17,445,186.0 | NaN | 17445186.0 | 1.43 |
| 70 | Serbia | SRB | 2017 | Import | 24,373,115.0 | 22,277,636.0 | NaN | 22277636.0 | 1.09 |
| 71 | Samoa | WSM | 2017 | Import | 22,561.0 | 12,907.0 | NaN | 12907.0 | 1.75 |
| 72 | Jordan | JOR | 2017 | Import | 22,401,027.0 | 20,058,490.0 | NaN | 20058490.0 | 1.12 |
| 73 | Benin | BEN | 2017 | Import | 212,215.0 | 279,787.0 | NaN | 279787.0 | 0.76 |
| 74 | Solomon Isds | SLB | 2017 | Import | 204,026.0 | 163,701.0 | NaN | 163701.0 | 1.25 |
| 75 | Kuwait | KWT | 2017 | Import | 20,355,583.0 | 14,107,591.0 | NaN | 14107591.0 | 1.44 |
| 76 | Portugal | PRT | 2017 | Import | 20,268,219.0 | 16,045,178.0 | NaN | 16045178.0 | 1.26 |
| 77 | Romania | ROU | 2017 | Import | 20,192,458.0 | 21,076,697.0 | NaN | 21076697.0 | 0.96 |
| 78 | Paraguay | PRY | 2017 | Import | 2,769,540.0 | 2,175,722.0 | NaN | 2175722.0 | 1.27 |
| 79 | TFYR of Macedonia | MKD | 2017 | Import | 2,731,149.0 | 2,526,389.0 | NaN | 2526389.0 | 1.08 |
| 80 | Latvia | LVA | 2017 | Import | 2,532,419.0 | 1,420,989.0 | NaN | 1420989.0 | 1.78 |
| 81 | Egypt | EGY | 2017 | Import | 2,464,624.0 | 1,977,493.0 | NaN | 1977493.0 | 1.25 |
| 82 | Lithuania | LTU | 2017 | Import | 2,411,790.0 | 1,947,356.0 | NaN | 1947356.0 | 1.24 |
| 83 | Uganda | UGA | 2017 | Import | 2,358,552.0 | 1,995,014.0 | NaN | 1985029.0 | 1.18 |
| 84 | Burundi | BDI | 2017 | Import | 19,300.0 | 17,594.0 | NaN | 12305.0 | 1.10 |
| 85 | Burkina Faso | BFA | 2017 | Import | 19,121.0 | 29,080.0 | NaN | 29080.0 | 0.66 |
| 86 | Australia | AUS | 2017 | Import | 180,356,704.0 | 130,076,660.0 | NaN | 130076660.0 | 1.39 |
| 87 | Palau | PLW | 2017 | Import | 164,866.0 | 74,723.0 | NaN | 74723.0 | 2.21 |
| 88 | Italy | ITA | 2017 | Import | 160,758,238.0 | 75,703,685.0 | NaN | 75703685.0 | 2.12 |
| 89 | Poland | POL | 2017 | Import | 147,421,007.0 | 132,830,037.0 | NaN | 132830037.0 | 1.11 |
| 90 | Lebanon | LBN | 2017 | Import | 14,550,365.0 | 13,801,251.0 | NaN | 13801251.0 | 1.05 |
| 91 | Ukraine | UKR | 2017 | Import | 14,448,107.0 | 12,562,395.0 | NaN | 12562395.0 | 1.15 |
| 92 | France | FRA | 2017 | Import | 134,078,000.0 | 100,766,996.0 | NaN | 100766996.0 | 1.33 |
| 93 | Honduras | HND | 2017 | Import | 133,844.0 | 80,379.0 | NaN | 80379.0 | 1.67 |
| 94 | Singapore | SGP | 2017 | Import | 13,489,928.0 | 10,798,657.0 | NaN | 0.0 | 1.25 |
| 95 | Morocco | MAR | 2017 | Import | 12,805,347.0 | 8,001,058.0 | NaN | 8001058.0 | 1.60 |
| 96 | Dominican Rep. | DOM | 2017 | Import | 11,619,201.0 | 9,322,678.0 | NaN | 9322678.0 | 1.25 |
| 97 | Norway | NOR | 2017 | Import | 11,571,768.0 | 6,478,099.0 | NaN | 6478099.0 | 1.79 |
| 98 | Bosnia Herzegovina | BIH | 2017 | Import | 11,488,313.0 | 11,846,185.0 | NaN | 11846185.0 | 0.97 |
| 99 | Côte d’Ivoire | CIV | 2017 | Import | 11,245,027.0 | 9,606,179.0 | NaN | 9606179.0 | 1.17 |
| 100 | Spain | ESP | 2017 | Import | 103,165,203.0 | 72,143,816.0 | NaN | 72143816.0 | 1.43 |
| 101 | India | IND | 2017 | Import | 10,869,831.0 | 7,849,789.0 | NaN | 7849789.0 | 1.38 |
| 102 | Switzerland | CHE | 2017 | Import | 10,592,322.0 | 4,945,772.0 | NaN | 4945772.0 | 2.14 |
| 103 | Cyprus | CYP | 2017 | Import | 10,573,445.0 | 8,768,558.0 | NaN | 8768558.0 | 1.21 |
| 104 | Armenia | ARM | 2017 | Import | 1,755,166.0 | 1,738,905.0 | NaN | 1738905.0 | 1.01 |
| 105 | Iceland | ISL | 2017 | Import | 1,682,737.0 | 1,372,496.0 | NaN | 1372496.0 | 1.23 |
| 106 | Mozambique | MOZ | 2017 | Import | 1,621,181.0 | 1,418,855.0 | NaN | 0.0 | 1.14 |
| 107 | United Rep. of Tanzania | TZA | 2017 | Import | 1,548,046.0 | 1,858,738.0 | NaN | 1858738.0 | 0.83 |
| 108 | Botswana | BWA | 2017 | Import | 1,484,824.0 | 969,823.0 | NaN | 969823.0 | 1.53 |
| 109 | Sudan | SDN | 2017 | Import | 1,431,668.0 | 1,148,700.0 | NaN | 1148700.0 | 1.25 |
| 110 | Luxembourg | LUX | 2017 | Import | 1,337,972.0 | 519,851.0 | NaN | 519851.0 | 2.57 |
| 111 | Namibia | NAM | 2017 | Import | 1,167,020.0 | 927,998.0 | NaN | 927998.0 | 1.26 |
| 112 | Madagascar | MDG | 2017 | Import | 1,035,030.0 | 786,395.0 | NaN | 786395.0 | 1.32 |
| 113 | Nepal | NPL | 2017 | Import | 1,027,633.0 | 894,340.0 | NaN | 894340.0 | 1.15 |