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; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials”(HScode:846596)
The graphs that have been shared show the International Trade Price and Weight of
“Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials”(HScode:846596)
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:846596)
Here is a graph which shows export statistics of
846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials(HScode:846596) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials(HScode:846596) 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 “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials” total export value 134,071,926.0USD
China is followed by Germany: 71,258,298.0USD
Finland: 35,791,817.0USD
Italy: 35,357,838.0USD
Austria: 29,605,844.0USD and
Canada: 18,518,119.0USD
China is followed by Germany: 71,258,298.0USD
Finland: 35,791,817.0USD
Italy: 35,357,838.0USD
Austria: 29,605,844.0USD and
Canada: 18,518,119.0USD
Supplier country’s “export value per KG” of (HScode:846596)
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.
Philippines ranked first in Exports “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials” at the lowest price of 0.24USD/KG Philippines is followed by Kuwait0.82USD/KG, Indonesia0.87USD/KG, Netherlands1.15USD/KG, Belarus1.86USD/KG, and Romania2.14USD/KG
Import Trade Statistics of (HScode:846596)
The statistics show the ranking of
846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials(HScode:846596) worldwide in 2017
846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials(HScode:846596) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials” Total import value 75,277,881.0USD
USA is followed by Russian Federation: 39,697,103.0USD
Germany: 36,579,172.0USD
China: 35,178,512.0USD
Canada: 18,568,104.0USD and
France: 12,682,490.0USD
USA ranked first in imports of “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials” Total import value 75,277,881.0USD
USA is followed by Russian Federation: 39,697,103.0USD
Germany: 36,579,172.0USD
China: 35,178,512.0USD
Canada: 18,568,104.0USD and
France: 12,682,490.0USD
Buyer country’s “import Value per KG” of (HScode:846596)
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.
Slovakia ranked first in imports “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials” at the highest price of 13.99/KG Slovakia is followed by Kenya, Tunisia, Kuwait, Turkey, and Romania
Table data of “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials”(HS:846596)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Slovakia | SVK | 2017 | Export | 912,422.0 | 159,781.0 | NaN | 274.0 | 5.71 |
1 | Estonia | EST | 2017 | Export | 8,839,720.0 | 1,035,572.0 | NaN | 670.0 | 8.54 |
2 | China, Hong Kong SAR | HKG | 2017 | Export | 8,664,370.0 | 1,004,536.0 | NaN | 95.0 | 8.63 |
3 | Hungary | HUN | 2017 | Export | 798,437.0 | 52,548.0 | NaN | 80.0 | 15.19 |
4 | Germany | DEU | 2017 | Export | 71,258,298.0 | 7,939,806.0 | NaN | 24701.0 | 8.97 |
5 | United Kingdom | GBR | 2017 | Export | 675,060.0 | 87,279.0 | NaN | 845.0 | 7.73 |
6 | Lithuania | LTU | 2017 | Export | 605,126.0 | 73,696.0 | NaN | 332.0 | 8.21 |
7 | Malaysia | MYS | 2017 | Export | 556,536.0 | 64,524.0 | NaN | 47.0 | 8.63 |
8 | Japan | JPN | 2017 | Export | 506,666.0 | 105,348.0 | NaN | 0.0 | 4.81 |
9 | Mali | MLI | 2017 | Export | 50,366.0 | 12,820.0 | NaN | 0.0 | 3.93 |
10 | Singapore | SGP | 2017 | Export | 437,455.0 | 50,718.0 | NaN | 294.0 | 8.63 |
11 | Philippines | PHL | 2017 | Export | 4,500.0 | 19,000.0 | NaN | 29.0 | 0.24 |
12 | Ukraine | UKR | 2017 | Export | 359,276.0 | 67,094.0 | NaN | 61.0 | 5.35 |
13 | Norway | NOR | 2017 | Export | 357,923.0 | 49,416.0 | NaN | 237.0 | 7.24 |
14 | Finland | FIN | 2017 | Export | 35,791,817.0 | 2,100,430.0 | NaN | 2189.0 | 17.04 |
15 | Italy | ITA | 2017 | Export | 35,357,838.0 | 3,745,107.0 | NaN | 8817.0 | 9.44 |
16 | Ireland | IRL | 2017 | Export | 322,671.0 | 54,083.0 | NaN | 0.0 | 5.97 |
17 | India | IND | 2017 | Export | 313,671.0 | 36,366.0 | NaN | 46.0 | 8.63 |
18 | Czechia | CZE | 2017 | Export | 3,703,758.0 | 1,203,113.0 | NaN | 12130.0 | 3.08 |
19 | France | FRA | 2017 | Export | 3,345,577.0 | 616,597.0 | NaN | 0.0 | 5.43 |
20 | Austria | AUT | 2017 | Export | 29,605,844.0 | 2,743,100.0 | NaN | 0.0 | 10.79 |
21 | Romania | ROU | 2017 | Export | 277,563.0 | 96,148.0 | NaN | 24.0 | 2.89 |
22 | Indonesia | IDN | 2017 | Export | 267,052.0 | 307,778.0 | NaN | 0.0 | 0.87 |
23 | Portugal | PRT | 2017 | Export | 259,865.0 | 47,940.0 | NaN | 351.0 | 5.42 |
24 | Bosnia Herzegovina | BIH | 2017 | Export | 249,118.0 | 61,990.0 | NaN | 0.0 | 4.02 |
25 | Viet Nam | VNM | 2017 | Export | 227,898.0 | 25,705.0 | NaN | 0.0 | 8.87 |
26 | Australia | AUS | 2017 | Export | 209,566.0 | 24,296.0 | NaN | 13046.0 | 8.63 |
27 | Kuwait | KWT | 2017 | Export | 20,516.0 | 25,095.0 | NaN | 5.0 | 0.82 |
28 | Serbia | SRB | 2017 | Export | 189,711.0 | 88,532.0 | NaN | 0.0 | 2.14 |
29 | Belarus | BLR | 2017 | Export | 181,600.0 | 97,809.0 | NaN | 25.0 | 1.86 |
30 | South Africa | ZAF | 2017 | Export | 177,719.0 | 20,604.0 | NaN | 87.0 | 8.63 |
31 | Bulgaria | BGR | 2017 | Export | 166,219.0 | 44,622.0 | NaN | 353.0 | 3.73 |
32 | Russian Federation | RUS | 2017 | Export | 154,524.0 | 63,702.0 | NaN | 54.0 | 2.43 |
33 | New Zealand | NZL | 2017 | Export | 144,755.0 | 14,600.0 | NaN | 14600.0 | 9.91 |
34 | China | CHN | 2017 | Export | 134,071,926.0 | 15,544,137.0 | NaN | 0.0 | 8.63 |
35 | Belgium | BEL | 2017 | Export | 1,996,750.0 | 661,705.0 | NaN | 0.0 | 3.02 |
36 | Brazil | BRA | 2017 | Export | 1,809,956.0 | 160,833.0 | NaN | 32.0 | 11.25 |
37 | Latvia | LVA | 2017 | Export | 1,755,605.0 | 310,662.0 | NaN | 865.0 | 5.65 |
38 | Turkey | TUR | 2017 | Export | 1,619,721.0 | 356,861.0 | NaN | 308.0 | 4.54 |
39 | Poland | POL | 2017 | Export | 1,595,744.0 | 210,569.0 | NaN | 267.0 | 7.58 |
40 | Netherlands | NLD | 2017 | Export | 1,560,246.0 | 1,356,577.0 | NaN | 3633.0 | 1.15 |
41 | Spain | ESP | 2017 | Export | 1,291,430.0 | 220,351.0 | NaN | 0.0 | 5.86 |
42 | Rep. of Korea | KOR | 2017 | Export | 1,225,632.0 | 72,655.0 | NaN | 0.0 | 16.87 |
43 | Switzerland | CHE | 2017 | Export | 1,160,897.0 | 177,038.0 | NaN | 86.0 | 6.56 |
44 | Sweden | SWE | 2017 | Export | 1,144,379.0 | 405,139.0 | NaN | 4229.0 | 2.82 |
45 | Denmark | DNK | 2017 | Export | 1,042,748.0 | 120,895.0 | NaN | 0.0 | 8.63 |
Table data of “846596 – Machine-tools; splitting, slicing or paring machines, for working wood, cork, bone, hard rubber, hard plastics or similar hard materials”(HS:846596)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Slovenia | SVN | 2017 | Import | 992,371.0 | 22,419,331.0 | NaN | 1795.0 | 0.04 |
1 | Myanmar | MMR | 2017 | Import | 98,364.0 | 20,995.0 | NaN | 562.0 | 4.69 |
2 | Rep. of Korea | KOR | 2017 | Import | 952,670.0 | 191,352.0 | NaN | 0.0 | 4.98 |
3 | Cyprus | CYP | 2017 | Import | 91,042.0 | 13,635.0 | NaN | 55.0 | 6.68 |
4 | Australia | AUS | 2017 | Import | 9,082,272.0 | 1,938,583.0 | NaN | 20537.0 | 4.69 |
5 | Indonesia | IDN | 2017 | Import | 9,057,085.0 | 2,272,686.0 | NaN | 0.0 | 3.99 |
6 | Uruguay | URY | 2017 | Import | 85,674.0 | 30,042.0 | NaN | 54.0 | 2.85 |
7 | Ghana | GHA | 2017 | Import | 85,657.0 | 39,045.0 | NaN | 0.0 | 2.19 |
8 | Iran | IRN | 2017 | Import | 817,020.0 | 123,009.0 | NaN | 0.0 | 6.64 |
9 | Singapore | SGP | 2017 | Import | 778,501.0 | 166,168.0 | NaN | 1084.0 | 4.69 |
10 | Portugal | PRT | 2017 | Import | 774,205.0 | 146,279.0 | NaN | 1353.0 | 5.29 |
11 | Serbia | SRB | 2017 | Import | 761,543.0 | 222,727.0 | NaN | 0.0 | 3.42 |
12 | USA | USA | 2017 | Import | 75,277,881.0 | 16,067,835.0 | NaN | 159026.0 | 4.69 |
13 | Mexico | MEX | 2017 | Import | 720,643.0 | 153,819.0 | NaN | 95.0 | 4.69 |
14 | Austria | AUT | 2017 | Import | 7,566,329.0 | 1,647,341.0 | NaN | 0.0 | 4.59 |
15 | Viet Nam | VNM | 2017 | Import | 7,414,052.0 | 1,284,506.0 | NaN | 0.0 | 5.77 |
16 | Czechia | CZE | 2017 | Import | 7,239,273.0 | 2,713,544.0 | NaN | 29634.0 | 2.67 |
17 | Nepal | NPL | 2017 | Import | 68,225.0 | 14,562.0 | NaN | 2164.0 | 4.69 |
18 | Nigeria | NGA | 2017 | Import | 676,394.0 | 144,374.0 | NaN | 0.0 | 4.69 |
19 | Brazil | BRA | 2017 | Import | 655,464.0 | 164,135.0 | NaN | 511.0 | 3.99 |
20 | Madagascar | MDG | 2017 | Import | 64,658.0 | 36,653.0 | NaN | 0.0 | 1.76 |
21 | Philippines | PHL | 2017 | Import | 629,282.0 | 319,014.0 | NaN | 892.0 | 1.97 |
22 | Switzerland | CHE | 2017 | Import | 6,688,825.0 | 825,059.0 | NaN | 3033.0 | 8.11 |
23 | Malaysia | MYS | 2017 | Import | 6,386,468.0 | 1,363,172.0 | NaN | 181.0 | 4.69 |
24 | Uganda | UGA | 2017 | Import | 58,702.0 | 20,207.0 | NaN | 446.0 | 2.91 |
25 | Namibia | NAM | 2017 | Import | 57,988.0 | 11,740.0 | NaN | 0.0 | 4.94 |
26 | Sudan | SDN | 2017 | Import | 53,280.0 | 11,372.0 | NaN | 0.0 | 4.69 |
27 | TFYR of Macedonia | MKD | 2017 | Import | 52,895.0 | 15,190.0 | NaN | 56.0 | 3.48 |
28 | Norway | NOR | 2017 | Import | 5,891,908.0 | 1,062,374.0 | NaN | 14484.0 | 5.55 |
29 | Sweden | SWE | 2017 | Import | 5,413,699.0 | 1,381,690.0 | NaN | 26512.0 | 3.92 |
30 | Greece | GRC | 2017 | Import | 489,685.0 | 68,925.0 | NaN | 698.0 | 7.10 |
31 | Cameroon | CMR | 2017 | Import | 487,661.0 | 165,190.0 | NaN | 0.0 | 2.95 |
32 | Algeria | DZA | 2017 | Import | 455,713.0 | 51,526.0 | NaN | 0.0 | 8.84 |
33 | Paraguay | PRY | 2017 | Import | 448,756.0 | 117,588.0 | NaN | 0.0 | 3.82 |
34 | Jordan | JOR | 2017 | Import | 445,914.0 | 49,115.0 | NaN | 0.0 | 9.08 |
35 | Ireland | IRL | 2017 | Import | 432,932.0 | 128,970.0 | NaN | 0.0 | 3.36 |
36 | Morocco | MAR | 2017 | Import | 420,164.0 | 88,566.0 | NaN | 0.0 | 4.74 |
37 | Chile | CHL | 2017 | Import | 4,924,138.0 | 1,051,042.0 | NaN | 270.0 | 4.69 |
38 | Italy | ITA | 2017 | Import | 4,692,561.0 | 1,239,686.0 | NaN | 10894.0 | 3.79 |
39 | Ukraine | UKR | 2017 | Import | 4,243,176.0 | 729,956.0 | NaN | 987.0 | 5.81 |
40 | Japan | JPN | 2017 | Import | 4,170,871.0 | 1,023,925.0 | NaN | 0.0 | 4.07 |
41 | India | IND | 2017 | Import | 4,164,609.0 | 888,923.0 | NaN | 2468.0 | 4.69 |
42 | Finland | FIN | 2017 | Import | 4,042,562.0 | 1,334,602.0 | NaN | 20269.0 | 3.03 |
43 | Luxembourg | LUX | 2017 | Import | 393,296.0 | 46,666.0 | NaN | 548.0 | 8.43 |
44 | Russian Federation | RUS | 2017 | Import | 39,697,103.0 | 4,268,084.0 | NaN | 5946.0 | 9.30 |
45 | Senegal | SEN | 2017 | Import | 38,210.0 | 17,799.0 | NaN | 0.0 | 2.15 |
46 | Germany | DEU | 2017 | Import | 36,579,172.0 | 11,431,427.0 | NaN | 94803.0 | 3.20 |
47 | Oman | OMN | 2017 | Import | 350,114.0 | 34,177.0 | NaN | 0.0 | 10.24 |
48 | China | CHN | 2017 | Import | 35,178,512.0 | 7,508,746.0 | NaN | 0.0 | 4.69 |
49 | Tunisia | TUN | 2017 | Import | 348,149.0 | 26,118.0 | NaN | 37.0 | 13.33 |
50 | Montenegro | MNE | 2017 | Import | 333,407.0 | 79,180.0 | NaN | 80.0 | 4.21 |
51 | Ecuador | ECU | 2017 | Import | 31,704.0 | 10,321.0 | NaN | 8.0 | 3.07 |
52 | Bulgaria | BGR | 2017 | Import | 3,696,340.0 | 343,584.0 | NaN | 463.0 | 10.76 |
53 | Belgium | BEL | 2017 | Import | 3,394,113.0 | 1,231,372.0 | NaN | 0.0 | 2.76 |
54 | Belarus | BLR | 2017 | Import | 3,385,100.0 | 368,333.0 | NaN | 170.0 | 9.19 |
55 | New Zealand | NZL | 2017 | Import | 3,366,637.0 | 646,026.0 | NaN | 0.0 | 5.21 |
56 | United Kingdom | GBR | 2017 | Import | 3,322,851.0 | 663,236.0 | NaN | 57221.0 | 5.01 |
57 | Egypt | EGY | 2017 | Import | 245,147.0 | 52,325.0 | NaN | 0.0 | 4.69 |
58 | Pakistan | PAK | 2017 | Import | 225,762.0 | 48,188.0 | NaN | 186.0 | 4.69 |
59 | Kuwait | KWT | 2017 | Import | 224,496.0 | 17,665.0 | NaN | 3758.0 | 12.71 |
60 | Lebanon | LBN | 2017 | Import | 217,022.0 | 32,689.0 | NaN | 0.0 | 6.64 |
61 | Hungary | HUN | 2017 | Import | 2,946,699.0 | 2,140,042.0 | NaN | 6226.0 | 1.38 |
62 | Turkey | TUR | 2017 | Import | 2,928,297.0 | 236,684.0 | NaN | 84.0 | 12.37 |
63 | Romania | ROU | 2017 | Import | 2,694,510.0 | 247,783.0 | NaN | 1550.0 | 10.87 |
64 | Latvia | LVA | 2017 | Import | 2,672,349.0 | 270,343.0 | NaN | 1133.0 | 9.89 |
65 | Netherlands | NLD | 2017 | Import | 2,390,087.0 | 5,195,430.0 | NaN | 13742.0 | 0.46 |
66 | United Rep. of Tanzania | TZA | 2017 | Import | 182,204.0 | 51,057.0 | NaN | 0.0 | 3.57 |
67 | Argentina | ARG | 2017 | Import | 179,934.0 | 18,680.0 | NaN | 343.0 | 9.63 |
68 | Georgia | GEO | 2017 | Import | 170,448.0 | 49,277.0 | NaN | 199.0 | 3.46 |
69 | Honduras | HND | 2017 | Import | 17,356.0 | 12,796.0 | NaN | 20.0 | 1.36 |
70 | Kazakhstan | KAZ | 2017 | Import | 161,883.0 | 39,709.0 | NaN | 0.0 | 4.08 |
71 | Côte d’Ivoire | CIV | 2017 | Import | 153,141.0 | 65,153.0 | NaN | 0.0 | 2.35 |
72 | Israel | ISR | 2017 | Import | 139,000.0 | 29,669.0 | NaN | 189.0 | 4.69 |
73 | Mongolia | MNG | 2017 | Import | 136,933.0 | 41,388.0 | NaN | 6.0 | 3.31 |
74 | Rep. of Moldova | MDA | 2017 | Import | 128,404.0 | 36,387.0 | NaN | 49.0 | 3.53 |
75 | Sri Lanka | LKA | 2017 | Import | 127,341.0 | 27,180.0 | NaN | 96.0 | 4.69 |
76 | Peru | PER | 2017 | Import | 122,998.0 | 24,165.0 | NaN | 43.0 | 5.09 |
77 | France | FRA | 2017 | Import | 12,682,490.0 | 2,582,077.0 | NaN | 0.0 | 4.91 |
78 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 119,177.0 | 17,837.0 | NaN | 62.0 | 6.68 |
79 | Colombia | COL | 2017 | Import | 111,883.0 | 31,364.0 | NaN | 4.0 | 3.57 |
80 | Slovakia | SVK | 2017 | Import | 11,018,379.0 | 787,463.0 | NaN | 5104.0 | 13.99 |
81 | Denmark | DNK | 2017 | Import | 1,901,020.0 | 405,767.0 | NaN | 0.0 | 4.69 |
82 | Poland | POL | 2017 | Import | 1,791,904.0 | 343,922.0 | NaN | 7965.0 | 5.21 |
83 | Spain | ESP | 2017 | Import | 1,765,178.0 | 275,464.0 | NaN | 0.0 | 6.41 |
84 | Estonia | EST | 2017 | Import | 1,673,133.0 | 198,397.0 | NaN | 1779.0 | 8.43 |
85 | Bosnia Herzegovina | BIH | 2017 | Import | 1,509,252.0 | 525,161.0 | NaN | 0.0 | 2.87 |
86 | China, Hong Kong SAR | HKG | 2017 | Import | 1,168,828.0 | 249,482.0 | NaN | 57.0 | 4.69 |
87 | Lithuania | LTU | 2017 | Import | 1,157,367.0 | 146,866.0 | NaN | 799.0 | 7.88 |
88 | South Africa | ZAF | 2017 | Import | 1,084,307.0 | 231,442.0 | NaN | 1280.0 | 4.69 |
89 | Kenya | KEN | 2017 | Import | 1,022,505.0 | 76,207.0 | NaN | 25.0 | 13.42 |