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
“Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar”(HScode:846510)
The graphs that have been shared show the International Trade Price and Weight of
“Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar”(HScode:846510)
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:846510)
Here is a graph which shows export statistics of
846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar(HScode:846510) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar(HScode:846510) 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, Germany ranked at the top in exports of “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar” total export value 727,885,564.0USD
Germany is followed by Italy: 149,188,239.0USD
Austria: 74,161,416.0USD
Poland: 53,213,841.0USD
USA: 22,862,089.0USD and
China: 22,647,170.0USD
Germany is followed by Italy: 149,188,239.0USD
Austria: 74,161,416.0USD
Poland: 53,213,841.0USD
USA: 22,862,089.0USD and
China: 22,647,170.0USD
Supplier country’s “export value per KG” of (HScode:846510)
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.
Belize ranked first in Exports “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar” at the lowest price of 0.08USD/KG Belize is followed by Greece0.49USD/KG, Norway1.0USD/KG, Montenegro4.17USD/KG, Togo4.29USD/KG, and Romania5.05USD/KG
Import Trade Statistics of (HScode:846510)
The statistics show the ranking of
846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar(HScode:846510) worldwide in 2017
846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar(HScode:846510) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar” Total import value 91,878,232.0USD
USA is followed by Germany: 79,872,391.0USD
France: 71,737,032.0USD
Australia: 53,420,478.0USD
Canada: 44,857,144.0USD and
Poland: 41,084,820.0USD
USA ranked first in imports of “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar” Total import value 91,878,232.0USD
USA is followed by Germany: 79,872,391.0USD
France: 71,737,032.0USD
Australia: 53,420,478.0USD
Canada: 44,857,144.0USD and
Poland: 41,084,820.0USD
Buyer country’s “import Value per KG” of (HScode:846510)
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.
Congo ranked first in imports “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar” at the highest price of 57.87/KG Congo is followed by Hungary, TFYR of Macedonia, Switzerland, New Zealand, and Romania
Table data of “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar”(HS:846510)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Latvia | LVA | 2017 | Export | 923,548.0 | 122,176.0 | NaN | 73.0 | 7.56 |
| 1 | France | FRA | 2017 | Export | 9,797,288.0 | 220,801.0 | NaN | 0.0 | 44.37 |
| 2 | Rep. of Korea | KOR | 2017 | Export | 806,149.0 | 111,653.0 | NaN | 0.0 | 7.22 |
| 3 | Montenegro | MNE | 2017 | Export | 79,083.0 | 18,975.0 | NaN | 5.0 | 4.17 |
| 4 | Ireland | IRL | 2017 | Export | 785,687.0 | 32,031.0 | NaN | 45.0 | 24.53 |
| 5 | Greece | GRC | 2017 | Export | 77,156.0 | 156,122.0 | NaN | 1473.0 | 0.49 |
| 6 | Norway | NOR | 2017 | Export | 74,176.0 | 73,900.0 | NaN | 33.0 | 1.00 |
| 7 | Austria | AUT | 2017 | Export | 74,161,416.0 | 3,520,000.0 | NaN | 0.0 | 21.07 |
| 8 | Germany | DEU | 2017 | Export | 727,885,564.0 | 30,060,515.0 | NaN | 5660.0 | 24.21 |
| 9 | Finland | FIN | 2017 | Export | 7,928,769.0 | 784,065.0 | NaN | 1039.0 | 10.11 |
| 10 | Belgium | BEL | 2017 | Export | 7,627,725.0 | 403,592.0 | NaN | 0.0 | 18.90 |
| 11 | Bulgaria | BGR | 2017 | Export | 7,291,610.0 | 1,239,400.0 | NaN | 2486.0 | 5.88 |
| 12 | Australia | AUS | 2017 | Export | 6,801,046.0 | 301,120.0 | NaN | 86035.0 | 22.59 |
| 13 | Belize | BLZ | 2017 | Export | 6,052.0 | 75,000.0 | NaN | 75000.0 | 0.08 |
| 14 | Mexico | MEX | 2017 | Export | 598,122.0 | 26,482.0 | NaN | 9.0 | 22.59 |
| 15 | India | IND | 2017 | Export | 583,207.0 | 25,821.0 | NaN | 273.0 | 22.59 |
| 16 | Poland | POL | 2017 | Export | 53,213,841.0 | 3,230,516.0 | NaN | 3342.0 | 16.47 |
| 17 | Estonia | EST | 2017 | Export | 527,042.0 | 67,055.0 | NaN | 423.0 | 7.86 |
| 18 | Slovakia | SVK | 2017 | Export | 454,921.0 | 66,099.0 | NaN | 88.0 | 6.88 |
| 19 | Sweden | SWE | 2017 | Export | 4,596,850.0 | 633,561.0 | NaN | 1170.0 | 7.26 |
| 20 | Bosnia Herzegovina | BIH | 2017 | Export | 396,082.0 | 60,350.0 | NaN | 0.0 | 6.56 |
| 21 | Lithuania | LTU | 2017 | Export | 3,397,741.0 | 221,413.0 | NaN | 140.0 | 15.35 |
| 22 | Ukraine | UKR | 2017 | Export | 293,850.0 | 23,094.0 | NaN | 18.0 | 12.72 |
| 23 | Israel | ISR | 2017 | Export | 283,000.0 | 12,529.0 | NaN | 0.0 | 22.59 |
| 24 | China | CHN | 2017 | Export | 22,647,170.0 | 1,002,716.0 | NaN | 0.0 | 22.59 |
| 25 | Denmark | DNK | 2017 | Export | 22,194,937.0 | 982,693.0 | NaN | 0.0 | 22.59 |
| 26 | Belarus | BLR | 2017 | Export | 218,800.0 | 43,314.0 | NaN | 268.0 | 5.05 |
| 27 | Romania | ROU | 2017 | Export | 2,156,008.0 | 136,532.0 | NaN | 246.0 | 15.79 |
| 28 | Brazil | BRA | 2017 | Export | 2,109,696.0 | 196,872.0 | NaN | 1197.0 | 10.72 |
| 29 | Portugal | PRT | 2017 | Export | 178,410.0 | 28,839.0 | NaN | 51.0 | 6.19 |
| 30 | Serbia | SRB | 2017 | Export | 161,701.0 | 27,162.0 | NaN | 0.0 | 5.95 |
| 31 | Italy | ITA | 2017 | Export | 149,188,239.0 | 12,652,483.0 | NaN | 379488.0 | 11.79 |
| 32 | Ecuador | ECU | 2017 | Export | 147,000.0 | 24,000.0 | NaN | 6.0 | 6.12 |
| 33 | Togo | TGO | 2017 | Export | 131,732.0 | 30,695.0 | NaN | 50.0 | 4.29 |
| 34 | Switzerland | CHE | 2017 | Export | 12,830,181.0 | 939,050.0 | NaN | 498.0 | 13.66 |
| 35 | Czechia | CZE | 2017 | Export | 11,606,745.0 | 754,533.0 | NaN | 16628.0 | 15.38 |
| 36 | Japan | JPN | 2017 | Export | 11,401,679.0 | 660,218.0 | NaN | 0.0 | 17.27 |
| 37 | Turkey | TUR | 2017 | Export | 10,419,489.0 | 734,629.0 | NaN | 364.0 | 14.18 |
| 38 | Spain | ESP | 2017 | Export | 10,193,772.0 | 503,230.0 | NaN | 0.0 | 20.26 |
| 39 | United Kingdom | GBR | 2017 | Export | 10,102,236.0 | 454,198.0 | NaN | 35408.0 | 22.24 |
| 40 | Russian Federation | RUS | 2017 | Export | 1,915,669.0 | 270,534.0 | NaN | 306.0 | 7.08 |
| 41 | Hungary | HUN | 2017 | Export | 1,628,171.0 | 124,977.0 | NaN | 36.0 | 13.03 |
| 42 | Singapore | SGP | 2017 | Export | 1,187,692.0 | 52,585.0 | NaN | 941.0 | 22.59 |
Table data of “846510 – Machine-tools; which can carry out different types of machining operations without tool change between such operations, for working wood, cork, bone, hard rubber, hard plastics or similar”(HS:846510)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Central African Rep. | CAF | 2017 | Import | 98,399.0 | 30,543.0 | NaN | 2.0 | 3.22 |
| 1 | Nigeria | NGA | 2017 | Import | 944,547.0 | 52,815.0 | NaN | 20.0 | 17.88 |
| 2 | USA | USA | 2017 | Import | 91,878,232.0 | 5,137,453.0 | NaN | 3728.0 | 17.88 |
| 3 | Sweden | SWE | 2017 | Import | 9,581,085.0 | 443,828.0 | NaN | 6633.0 | 21.59 |
| 4 | Myanmar | MMR | 2017 | Import | 884,191.0 | 49,440.0 | NaN | 1221.0 | 17.88 |
| 5 | Togo | TGO | 2017 | Import | 84,601.0 | 28,302.0 | NaN | 178.0 | 2.99 |
| 6 | Sudan | SDN | 2017 | Import | 832,695.0 | 46,560.0 | NaN | 18.0 | 17.88 |
| 7 | Bulgaria | BGR | 2017 | Import | 8,383,113.0 | 875,606.0 | NaN | 122.0 | 9.57 |
| 8 | Egypt | EGY | 2017 | Import | 790,641.0 | 44,209.0 | NaN | 17.0 | 17.88 |
| 9 | Germany | DEU | 2017 | Import | 79,872,391.0 | 5,176,368.0 | NaN | 2716.0 | 15.43 |
| 10 | Rep. of Moldova | MDA | 2017 | Import | 763,118.0 | 67,240.0 | NaN | 62.0 | 11.35 |
| 11 | Kuwait | KWT | 2017 | Import | 728,450.0 | 50,786.0 | NaN | 671.0 | 14.34 |
| 12 | France | FRA | 2017 | Import | 71,737,032.0 | 3,484,889.0 | NaN | 1584.0 | 20.59 |
| 13 | Slovenia | SVN | 2017 | Import | 7,675,708.0 | 29,868,703.0 | NaN | 449.0 | 0.26 |
| 14 | Israel | ISR | 2017 | Import | 7,606,000.0 | 425,296.0 | NaN | 2208.0 | 17.88 |
| 15 | Armenia | ARM | 2017 | Import | 686,092.0 | 33,316.0 | NaN | 28.0 | 20.59 |
| 16 | Morocco | MAR | 2017 | Import | 651,015.0 | 138,469.0 | NaN | 14.0 | 4.70 |
| 17 | Zambia | ZMB | 2017 | Import | 64,855.0 | 12,553.0 | NaN | 1.0 | 5.17 |
| 18 | Slovakia | SVK | 2017 | Import | 6,997,163.0 | 384,334.0 | NaN | 0.0 | 18.21 |
| 19 | Belarus | BLR | 2017 | Import | 6,964,600.0 | 638,675.0 | NaN | 355.0 | 10.90 |
| 20 | Denmark | DNK | 2017 | Import | 6,186,185.0 | 345,906.0 | NaN | 136.0 | 17.88 |
| 21 | South Africa | ZAF | 2017 | Import | 6,151,631.0 | 343,973.0 | NaN | 0.0 | 17.88 |
| 22 | Greece | GRC | 2017 | Import | 563,575.0 | 50,085.0 | NaN | 0.0 | 11.25 |
| 23 | Iceland | ISL | 2017 | Import | 535,750.0 | 22,864.0 | NaN | 26.0 | 23.43 |
| 24 | Sri Lanka | LKA | 2017 | Import | 534,471.0 | 29,885.0 | NaN | 0.0 | 17.88 |
| 25 | Australia | AUS | 2017 | Import | 53,420,478.0 | 2,987,053.0 | NaN | 1236.0 | 17.88 |
| 26 | Norway | NOR | 2017 | Import | 5,617,490.0 | 271,566.0 | NaN | 428.0 | 20.69 |
| 27 | Ireland | IRL | 2017 | Import | 5,413,719.0 | 221,167.0 | NaN | 1193.0 | 24.48 |
| 28 | Chile | CHL | 2017 | Import | 5,003,382.0 | 279,768.0 | NaN | 323.0 | 17.88 |
| 29 | Kenya | KEN | 2017 | Import | 477,123.0 | 141,729.0 | NaN | 599.0 | 3.37 |
| 30 | Poland | POL | 2017 | Import | 41,084,820.0 | 1,903,839.0 | NaN | 6800.0 | 21.58 |
| 31 | Oman | OMN | 2017 | Import | 406,780.0 | 106,964.0 | NaN | 8.0 | 3.80 |
| 32 | Bosnia Herzegovina | BIH | 2017 | Import | 4,710,931.0 | 385,012.0 | NaN | 103.0 | 12.24 |
| 33 | TFYR of Macedonia | MKD | 2017 | Import | 4,350,500.0 | 132,702.0 | NaN | 123.0 | 32.78 |
| 34 | Finland | FIN | 2017 | Import | 4,291,071.0 | 387,066.0 | NaN | 235.0 | 11.09 |
| 35 | Argentina | ARG | 2017 | Import | 4,046,967.0 | 287,863.0 | NaN | 883.0 | 14.06 |
| 36 | United Kingdom | GBR | 2017 | Import | 38,709,921.0 | 2,624,209.0 | NaN | 0.0 | 14.75 |
| 37 | Italy | ITA | 2017 | Import | 35,126,855.0 | 4,083,229.0 | NaN | 7137.0 | 8.60 |
| 38 | China | CHN | 2017 | Import | 34,375,204.0 | 1,922,120.0 | NaN | 757.0 | 17.88 |
| 39 | Russian Federation | RUS | 2017 | Import | 33,833,259.0 | 1,930,806.0 | NaN | 4657.0 | 17.52 |
| 40 | Iran | IRN | 2017 | Import | 3,915,057.0 | 460,222.0 | NaN | 88.0 | 8.51 |
| 41 | Serbia | SRB | 2017 | Import | 3,741,733.0 | 347,622.0 | NaN | 82.0 | 10.76 |
| 42 | Singapore | SGP | 2017 | Import | 3,606,097.0 | 201,638.0 | NaN | 0.0 | 17.88 |
| 43 | Algeria | DZA | 2017 | Import | 3,571,738.0 | 488,310.0 | NaN | 78.0 | 7.31 |
| 44 | India | IND | 2017 | Import | 3,191,414.0 | 178,450.0 | NaN | 4668.0 | 17.88 |
| 45 | Mauritius | MUS | 2017 | Import | 279,766.0 | 15,643.0 | NaN | 1350.0 | 17.88 |
| 46 | Malawi | MWI | 2017 | Import | 270,956.0 | 20,083.0 | NaN | 113.0 | 13.49 |
| 47 | Switzerland | CHE | 2017 | Import | 26,581,845.0 | 1,040,182.0 | NaN | 615.0 | 25.55 |
| 48 | Japan | JPN | 2017 | Import | 25,198,045.0 | 1,034,027.0 | NaN | 555.0 | 24.37 |
| 49 | Austria | AUT | 2017 | Import | 23,091,173.0 | 1,246,300.0 | NaN | 508.0 | 18.53 |
| 50 | Uruguay | URY | 2017 | Import | 224,338.0 | 68,421.0 | NaN | 479.0 | 3.28 |
| 51 | Mongolia | MNG | 2017 | Import | 205,280.0 | 31,066.0 | NaN | 36.0 | 6.61 |
| 52 | Georgia | GEO | 2017 | Import | 201,537.0 | 16,321.0 | NaN | 31.0 | 12.35 |
| 53 | Ukraine | UKR | 2017 | Import | 20,025,033.0 | 2,008,662.0 | NaN | 3319.0 | 9.97 |
| 54 | Latvia | LVA | 2017 | Import | 2,636,607.0 | 123,666.0 | NaN | 199.0 | 21.32 |
| 55 | Malaysia | MYS | 2017 | Import | 2,499,872.0 | 139,782.0 | NaN | 0.0 | 17.88 |
| 56 | Colombia | COL | 2017 | Import | 2,461,246.0 | 129,016.0 | NaN | 0.0 | 19.08 |
| 57 | Philippines | PHL | 2017 | Import | 2,445,638.0 | 133,217.0 | NaN | 1922.0 | 18.36 |
| 58 | Cyprus | CYP | 2017 | Import | 2,013.0 | 19,883.0 | NaN | 19.0 | 0.10 |
| 59 | Lebanon | LBN | 2017 | Import | 2,010,505.0 | 138,248.0 | NaN | 44.0 | 14.54 |
| 60 | Albania | ALB | 2017 | Import | 197,385.0 | 61,659.0 | NaN | 52.0 | 3.20 |
| 61 | Mali | MLI | 2017 | Import | 19,813.0 | 44,900.0 | NaN | 0.0 | 0.44 |
| 62 | Montenegro | MNE | 2017 | Import | 179,286.0 | 29,739.0 | NaN | 9.0 | 6.03 |
| 63 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 178,577.0 | 23,952.0 | NaN | 104.0 | 7.46 |
| 64 | United Rep. of Tanzania | TZA | 2017 | Import | 173,021.0 | 28,081.0 | NaN | 3.0 | 6.16 |
| 65 | Indonesia | IDN | 2017 | Import | 17,430,118.0 | 895,340.0 | NaN | 393.0 | 19.47 |
| 66 | Costa Rica | CRI | 2017 | Import | 169,830.0 | 18,234.0 | NaN | 3.0 | 9.31 |
| 67 | Senegal | SEN | 2017 | Import | 166,481.0 | 18,400.0 | NaN | 3.0 | 9.05 |
| 68 | Côte d’Ivoire | CIV | 2017 | Import | 164,820.0 | 64,589.0 | NaN | 3.0 | 2.55 |
| 69 | Gambia | GMB | 2017 | Import | 16,822.0 | 42,249.0 | NaN | 0.0 | 0.40 |
| 70 | Portugal | PRT | 2017 | Import | 16,611,782.0 | 707,263.0 | NaN | 0.0 | 23.49 |
| 71 | Netherlands | NLD | 2017 | Import | 15,687,035.0 | 16,478,524.0 | NaN | 18787.0 | 0.95 |
| 72 | Spain | ESP | 2017 | Import | 15,662,673.0 | 1,061,149.0 | NaN | 345.0 | 14.76 |
| 73 | Zimbabwe | ZWE | 2017 | Import | 148,327.0 | 41,150.0 | NaN | 3.0 | 3.60 |
| 74 | Peru | PER | 2017 | Import | 141,712.0 | 19,664.0 | NaN | 162.0 | 7.21 |
| 75 | Mexico | MEX | 2017 | Import | 14,405,517.0 | 805,497.0 | NaN | 411.0 | 17.88 |
| 76 | Benin | BEN | 2017 | Import | 14,211.0 | 15,800.0 | NaN | 0.0 | 0.90 |
| 77 | Viet Nam | VNM | 2017 | Import | 14,152,077.0 | 768,972.0 | NaN | 319.0 | 18.40 |
| 78 | Romania | ROU | 2017 | Import | 13,726,271.0 | 547,263.0 | NaN | 533.0 | 25.08 |
| 79 | New Zealand | NZL | 2017 | Import | 13,296,525.0 | 528,551.0 | NaN | 292.0 | 25.16 |
| 80 | Turkey | TUR | 2017 | Import | 13,232,332.0 | 681,100.0 | NaN | 402.0 | 19.43 |
| 81 | Paraguay | PRY | 2017 | Import | 121,929.0 | 11,499.0 | NaN | 2.0 | 10.60 |
| 82 | Rep. of Korea | KOR | 2017 | Import | 12,850,869.0 | 582,317.0 | NaN | 283.0 | 22.07 |
| 83 | Cameroon | CMR | 2017 | Import | 115,767.0 | 46,901.0 | NaN | 2.0 | 2.47 |
| 84 | Ecuador | ECU | 2017 | Import | 112,618.0 | 19,590.0 | NaN | 49.0 | 5.75 |
| 85 | Jordan | JOR | 2017 | Import | 110,147.0 | 25,228.0 | NaN | 2.0 | 4.37 |
| 86 | Estonia | EST | 2017 | Import | 11,404,037.0 | 2,000,400.0 | NaN | 0.0 | 5.70 |
| 87 | Hungary | HUN | 2017 | Import | 11,272,988.0 | 322,287.0 | NaN | 198.0 | 34.98 |
| 88 | Lithuania | LTU | 2017 | Import | 11,040,338.0 | 542,306.0 | NaN | 432.0 | 20.36 |
| 89 | Kyrgyzstan | KGZ | 2017 | Import | 109,363.0 | 43,996.0 | NaN | 47.0 | 2.49 |
| 90 | Ghana | GHA | 2017 | Import | 100,360.0 | 10,069.0 | NaN | 2.0 | 9.97 |
| 91 | Czechia | CZE | 2017 | Import | 10,939,858.0 | 528,151.0 | NaN | 0.0 | 20.71 |
| 92 | Madagascar | MDG | 2017 | Import | 10,785.0 | 12,343.0 | NaN | 0.0 | 0.87 |
| 93 | Kazakhstan | KAZ | 2017 | Import | 1,597,701.0 | 161,201.0 | NaN | 35.0 | 9.91 |
| 94 | Congo | COG | 2017 | Import | 1,508,858.0 | 26,075.0 | NaN | 33.0 | 57.87 |
| 95 | Tunisia | TUN | 2017 | Import | 1,200,758.0 | 75,060.0 | NaN | 467.0 | 16.00 |