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; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled”(HScode:846029)
The graphs that have been shared show the International Trade Price and Weight of
“Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled”(HScode:846029)
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:846029)
Here is a graph which shows export statistics of
846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled(HScode:846029) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled(HScode:846029) 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, Germany ranked at the top in exports of “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled” total export value 39,007,140.0USD
Germany is followed by Rep. of Korea: 38,383,076.0USD
Japan: 32,051,034.0USD
Switzerland: 21,696,788.0USD
Italy: 14,704,505.0USD and
China: 14,580,442.0USD
Germany is followed by Rep. of Korea: 38,383,076.0USD
Japan: 32,051,034.0USD
Switzerland: 21,696,788.0USD
Italy: 14,704,505.0USD and
China: 14,580,442.0USD
Supplier country’s “export value per KG” of (HScode:846029)
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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TFYR of Macedonia ranked first in Exports “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled” at the lowest price of 0.31USD/KG TFYR of Macedonia is followed by Netherlands0.37USD/KG, Kazakhstan0.51USD/KG, Armenia0.53USD/KG, Bosnia Herzegovina0.6USD/KG, and Slovakia0.81USD/KG
Import Trade Statistics of (HScode:846029)
The statistics show the ranking of
846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled(HScode:846029) worldwide in 2017
846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled(HScode:846029) worldwide in 2017
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the top importing countries worldwide in 2017
India ranked first in imports of “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled” Total import value 61,159,496.0USD
India is followed by Rep. of Korea: 32,004,446.0USD
Germany: 23,150,682.0USD
USA: 20,833,827.0USD
Turkey: 17,288,171.0USD and
China: 16,383,370.0USD
India ranked first in imports of “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled” Total import value 61,159,496.0USD
India is followed by Rep. of Korea: 32,004,446.0USD
Germany: 23,150,682.0USD
USA: 20,833,827.0USD
Turkey: 17,288,171.0USD and
China: 16,383,370.0USD
Buyer country’s “import Value per KG” of (HScode:846029)
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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Portugal ranked first in imports “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled” at the highest price of 127.03/KG Portugal is followed by Finland, France, Algeria, Bulgaria, and Slovakia
Table data of “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled”(HS:846029)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Lithuania | LTU | 2017 | Export | 900,503.0 | 93,894.0 | NaN | 50.0 | 9.59 |
| 1 | TFYR of Macedonia | MKD | 2017 | Export | 9,599.0 | 31,000.0 | NaN | 20.0 | 0.31 |
| 2 | Sweden | SWE | 2017 | Export | 9,072,666.0 | 230,137.0 | NaN | 3693.0 | 39.42 |
| 3 | Ukraine | UKR | 2017 | Export | 88,540.0 | 23,462.0 | NaN | 8.0 | 3.77 |
| 4 | Norway | NOR | 2017 | Export | 86,232.0 | 13,775.0 | NaN | 22.0 | 6.26 |
| 5 | Romania | ROU | 2017 | Export | 850,203.0 | 265,808.0 | NaN | 36.0 | 3.20 |
| 6 | India | IND | 2017 | Export | 7,476,275.0 | 314,079.0 | NaN | 5361.0 | 23.80 |
| 7 | Indonesia | IDN | 2017 | Export | 69,538.0 | 13,779.0 | NaN | 2.0 | 5.05 |
| 8 | Belgium | BEL | 2017 | Export | 648,335.0 | 113,313.0 | NaN | 16.0 | 5.72 |
| 9 | Poland | POL | 2017 | Export | 638,453.0 | 152,400.0 | NaN | 0.0 | 4.19 |
| 10 | Mexico | MEX | 2017 | Export | 612,267.0 | 25,721.0 | NaN | 45.0 | 23.80 |
| 11 | Hungary | HUN | 2017 | Export | 51,763.0 | 11,634.0 | NaN | 12.0 | 4.45 |
| 12 | Russian Federation | RUS | 2017 | Export | 506,650.0 | 228,825.0 | NaN | 64.0 | 2.21 |
| 13 | Singapore | SGP | 2017 | Export | 5,029,868.0 | 211,305.0 | NaN | 6785.0 | 23.80 |
| 14 | Slovenia | SVN | 2017 | Export | 417,159.0 | 516,331.0 | NaN | 104.0 | 0.81 |
| 15 | Philippines | PHL | 2017 | Export | 391,256.0 | 58,079.0 | NaN | 1032.0 | 6.74 |
| 16 | Germany | DEU | 2017 | Export | 39,007,140.0 | 2,221,830.0 | NaN | 2104.0 | 17.56 |
| 17 | Bulgaria | BGR | 2017 | Export | 388,498.0 | 43,845.0 | NaN | 30.0 | 8.86 |
| 18 | Rep. of Korea | KOR | 2017 | Export | 38,383,076.0 | 1,424,589.0 | NaN | 997.0 | 26.94 |
| 19 | Brazil | BRA | 2017 | Export | 327,428.0 | 20,340.0 | NaN | 11.0 | 16.10 |
| 20 | Denmark | DNK | 2017 | Export | 326,517.0 | 13,717.0 | NaN | 8.0 | 23.80 |
| 21 | Japan | JPN | 2017 | Export | 32,051,034.0 | 1,853,669.0 | NaN | 833.0 | 17.29 |
| 22 | Malaysia | MYS | 2017 | Export | 313,865.0 | 13,185.0 | NaN | 30.0 | 23.80 |
| 23 | Bosnia Herzegovina | BIH | 2017 | Export | 30,285.0 | 50,519.0 | NaN | 0.0 | 0.60 |
| 24 | Australia | AUS | 2017 | Export | 3,445,047.0 | 144,726.0 | NaN | 0.0 | 23.80 |
| 25 | France | FRA | 2017 | Export | 3,388,852.0 | 215,536.0 | NaN | 86.0 | 15.72 |
| 26 | Israel | ISR | 2017 | Export | 293,000.0 | 12,308.0 | NaN | 13.0 | 23.81 |
| 27 | Slovakia | SVK | 2017 | Export | 270,785.0 | 130,429.0 | NaN | 246.0 | 2.08 |
| 28 | Switzerland | CHE | 2017 | Export | 21,696,788.0 | 835,157.0 | NaN | 594.0 | 25.98 |
| 29 | Netherlands | NLD | 2017 | Export | 2,904,211.0 | 7,870,087.0 | NaN | 3803.0 | 0.37 |
| 30 | Spain | ESP | 2017 | Export | 2,631,344.0 | 567,446.0 | NaN | 68.0 | 4.64 |
| 31 | Austria | AUT | 2017 | Export | 2,225,551.0 | 129,760.0 | NaN | 57.0 | 17.15 |
| 32 | Turkey | TUR | 2017 | Export | 2,140,614.0 | 267,760.0 | NaN | 250.0 | 7.99 |
| 33 | Latvia | LVA | 2017 | Export | 174,874.0 | 15,841.0 | NaN | 11.0 | 11.04 |
| 34 | Kazakhstan | KAZ | 2017 | Export | 14,727.0 | 28,800.0 | NaN | 0.0 | 0.51 |
| 35 | Italy | ITA | 2017 | Export | 14,704,505.0 | 1,180,743.0 | NaN | 41241.0 | 12.45 |
| 36 | China | CHN | 2017 | Export | 14,580,442.0 | 2,270,058.0 | NaN | 378.0 | 6.42 |
| 37 | Argentina | ARG | 2017 | Export | 135,509.0 | 16,450.0 | NaN | 13.0 | 8.24 |
| 38 | Armenia | ARM | 2017 | Export | 13,985.0 | 26,450.0 | NaN | 17.0 | 0.53 |
| 39 | United Kingdom | GBR | 2017 | Export | 10,411,822.0 | 537,503.0 | NaN | 0.0 | 19.37 |
| 40 | Serbia | SRB | 2017 | Export | 1,844,829.0 | 151,751.0 | NaN | 47.0 | 12.16 |
| 41 | China, Hong Kong SAR | HKG | 2017 | Export | 1,432,688.0 | 60,187.0 | NaN | 42.0 | 23.80 |
| 42 | Czechia | CZE | 2017 | Export | 1,106,711.0 | 279,172.0 | NaN | 2236.0 | 3.96 |
| 43 | South Africa | ZAF | 2017 | Export | 1,105,633.0 | 46,447.0 | NaN | 3947.0 | 23.80 |
| 44 | Belarus | BLR | 2017 | Export | 1,023,200.0 | 141,929.0 | NaN | 65.0 | 7.21 |
Table data of “846029 – Machine-tools; grinding machines (other than flat-surface), in which positioning in any one axis can be set up to at least an accuracy of 0.01mm, other than numerically controlled”(HS:846029)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Lithuania | LTU | 2017 | Import | 914,018.0 | 78,389.0 | NaN | 45.0 | 11.66 |
| 1 | Norway | NOR | 2017 | Import | 905,997.0 | 45,039.0 | NaN | 1041.0 | 20.12 |
| 2 | Russian Federation | RUS | 2017 | Import | 9,338,931.0 | 654,246.0 | NaN | 1393.0 | 14.27 |
| 3 | South Africa | ZAF | 2017 | Import | 825,595.0 | 49,902.0 | NaN | 0.0 | 16.54 |
| 4 | Mozambique | MOZ | 2017 | Import | 81,711.0 | 11,572.0 | NaN | 0.0 | 7.06 |
| 5 | Denmark | DNK | 2017 | Import | 766,375.0 | 46,322.0 | NaN | 0.0 | 16.54 |
| 6 | United Rep. of Tanzania | TZA | 2017 | Import | 76,556.0 | 22,614.0 | NaN | 0.0 | 3.39 |
| 7 | Zimbabwe | ZWE | 2017 | Import | 73,786.0 | 120,512.0 | NaN | 0.0 | 0.61 |
| 8 | Peru | PER | 2017 | Import | 715,274.0 | 87,432.0 | NaN | 2702.0 | 8.18 |
| 9 | Oman | OMN | 2017 | Import | 71,872.0 | 29,114.0 | NaN | 0.0 | 2.47 |
| 10 | Hungary | HUN | 2017 | Import | 708,717.0 | 788,016.0 | NaN | 0.0 | 0.90 |
| 11 | Morocco | MAR | 2017 | Import | 708,204.0 | 52,111.0 | NaN | 0.0 | 13.59 |
| 12 | Mexico | MEX | 2017 | Import | 7,687,573.0 | 464,668.0 | NaN | 849.0 | 16.54 |
| 13 | Malaysia | MYS | 2017 | Import | 7,081,835.0 | 428,055.0 | NaN | 460.0 | 16.54 |
| 14 | Brazil | BRA | 2017 | Import | 662,361.0 | 45,452.0 | NaN | 84.0 | 14.57 |
| 15 | Serbia | SRB | 2017 | Import | 660,800.0 | 110,355.0 | NaN | 0.0 | 5.99 |
| 16 | India | IND | 2017 | Import | 61,159,496.0 | 3,696,734.0 | NaN | 4267.0 | 16.54 |
| 17 | Romania | ROU | 2017 | Import | 6,865,403.0 | 292,736.0 | NaN | 284.0 | 23.45 |
| 18 | Switzerland | CHE | 2017 | Import | 6,504,955.0 | 313,927.0 | NaN | 3682.0 | 20.72 |
| 19 | Austria | AUT | 2017 | Import | 6,005,292.0 | 476,801.0 | NaN | 0.0 | 12.59 |
| 20 | Sweden | SWE | 2017 | Import | 556,885.0 | 58,924.0 | NaN | 0.0 | 9.45 |
| 21 | Argentina | ARG | 2017 | Import | 551,726.0 | 26,828.0 | NaN | 37.0 | 20.57 |
| 22 | China, Hong Kong SAR | HKG | 2017 | Import | 549,418.0 | 33,209.0 | NaN | 24.0 | 16.54 |
| 23 | Belgium | BEL | 2017 | Import | 539,337.0 | 172,195.0 | NaN | 0.0 | 3.13 |
| 24 | Uganda | UGA | 2017 | Import | 50,758.0 | 24,482.0 | NaN | 0.0 | 2.07 |
| 25 | Italy | ITA | 2017 | Import | 5,849,837.0 | 1,161,878.0 | NaN | 947.0 | 5.03 |
| 26 | Poland | POL | 2017 | Import | 5,304,636.0 | 441,538.0 | NaN | 30053.0 | 12.01 |
| 27 | United Kingdom | GBR | 2017 | Import | 5,269,764.0 | 228,783.0 | NaN | 7387.0 | 23.03 |
| 28 | Chile | CHL | 2017 | Import | 476,841.0 | 28,822.0 | NaN | 539.0 | 16.54 |
| 29 | Ukraine | UKR | 2017 | Import | 466,252.0 | 75,570.0 | NaN | 85.0 | 6.17 |
| 30 | Bulgaria | BGR | 2017 | Import | 434,103.0 | 17,365.0 | NaN | 92.0 | 25.00 |
| 31 | Costa Rica | CRI | 2017 | Import | 406,634.0 | 35,513.0 | NaN | 0.0 | 11.45 |
| 32 | Philippines | PHL | 2017 | Import | 4,885,256.0 | 428,503.0 | NaN | 5259.0 | 11.40 |
| 33 | France | FRA | 2017 | Import | 4,477,854.0 | 137,299.0 | NaN | 0.0 | 32.61 |
| 34 | Singapore | SGP | 2017 | Import | 4,394,019.0 | 265,592.0 | NaN | 3184.0 | 16.54 |
| 35 | TFYR of Macedonia | MKD | 2017 | Import | 39,827.0 | 16,455.0 | NaN | 60.0 | 2.42 |
| 36 | Egypt | EGY | 2017 | Import | 358,271.0 | 21,655.0 | NaN | 0.0 | 16.54 |
| 37 | Albania | ALB | 2017 | Import | 35,118.0 | 16,896.0 | NaN | 12.0 | 2.08 |
| 38 | Kazakhstan | KAZ | 2017 | Import | 333,021.0 | 53,986.0 | NaN | 0.0 | 6.17 |
| 39 | Ecuador | ECU | 2017 | Import | 324,380.0 | 40,962.0 | NaN | 4321.0 | 7.92 |
| 40 | Rep. of Korea | KOR | 2017 | Import | 32,004,446.0 | 2,123,894.0 | NaN | 0.0 | 15.07 |
| 41 | Kenya | KEN | 2017 | Import | 315,649.0 | 30,984.0 | NaN | 4811.0 | 10.19 |
| 42 | Israel | ISR | 2017 | Import | 3,489,000.0 | 210,889.0 | NaN | 0.0 | 16.54 |
| 43 | Spain | ESP | 2017 | Import | 3,488,708.0 | 291,854.0 | NaN | 0.0 | 11.95 |
| 44 | Algeria | DZA | 2017 | Import | 3,074,896.0 | 110,547.0 | NaN | 0.0 | 27.82 |
| 45 | Kuwait | KWT | 2017 | Import | 290,855.0 | 56,170.0 | NaN | 0.0 | 5.18 |
| 46 | Bosnia Herzegovina | BIH | 2017 | Import | 290,462.0 | 73,639.0 | NaN | 0.0 | 3.94 |
| 47 | Sri Lanka | LKA | 2017 | Import | 262,271.0 | 15,852.0 | NaN | 0.0 | 16.54 |
| 48 | Nigeria | NGA | 2017 | Import | 254,833.0 | 15,403.0 | NaN | 0.0 | 16.54 |
| 49 | El Salvador | SLV | 2017 | Import | 234,249.0 | 16,119.0 | NaN | 0.0 | 14.53 |
| 50 | Swaziland | SWZ | 2017 | Import | 23,718.0 | 11,533.0 | NaN | 233.0 | 2.06 |
| 51 | Germany | DEU | 2017 | Import | 23,150,682.0 | 1,213,619.0 | NaN | 7851.0 | 19.08 |
| 52 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 228,302.0 | 23,983.0 | NaN | 245.0 | 9.52 |
| 53 | Colombia | COL | 2017 | Import | 219,268.0 | 20,027.0 | NaN | 44.0 | 10.95 |
| 54 | Namibia | NAM | 2017 | Import | 216,619.0 | 24,465.0 | NaN | 0.0 | 8.85 |
| 55 | Tunisia | TUN | 2017 | Import | 203,655.0 | 35,845.0 | NaN | 506.0 | 5.68 |
| 56 | USA | USA | 2017 | Import | 20,833,827.0 | 1,259,283.0 | NaN | 532.0 | 16.54 |
| 57 | Myanmar | MMR | 2017 | Import | 2,580,067.0 | 254,189.0 | NaN | 4921.0 | 10.15 |
| 58 | Japan | JPN | 2017 | Import | 2,479,305.0 | 107,452.0 | NaN | 0.0 | 23.07 |
| 59 | Czechia | CZE | 2017 | Import | 2,352,456.0 | 256,127.0 | NaN | 8472.0 | 9.18 |
| 60 | Australia | AUS | 2017 | Import | 2,010,040.0 | 121,495.0 | NaN | 0.0 | 16.54 |
| 61 | Ghana | GHA | 2017 | Import | 183,059.0 | 48,577.0 | NaN | 0.0 | 3.77 |
| 62 | New Zealand | NZL | 2017 | Import | 180,629.0 | 19,767.0 | NaN | 0.0 | 9.14 |
| 63 | Dominican Rep. | DOM | 2017 | Import | 171,846.0 | 10,387.0 | NaN | 0.0 | 16.54 |
| 64 | Turkey | TUR | 2017 | Import | 17,288,171.0 | 1,123,101.0 | NaN | 23050.0 | 15.39 |
| 65 | Cyprus | CYP | 2017 | Import | 17,199.0 | 10,252.0 | NaN | 7.0 | 1.68 |
| 66 | Côte d’Ivoire | CIV | 2017 | Import | 16,776.0 | 14,959.0 | NaN | 0.0 | 1.12 |
| 67 | China | CHN | 2017 | Import | 16,383,370.0 | 1,092,356.0 | NaN | 0.0 | 15.00 |
| 68 | Zambia | ZMB | 2017 | Import | 151,087.0 | 573,709.0 | NaN | 0.0 | 0.26 |
| 69 | Viet Nam | VNM | 2017 | Import | 15,526,394.0 | 916,826.0 | NaN | 0.0 | 16.93 |
| 70 | Latvia | LVA | 2017 | Import | 147,267.0 | 19,824.0 | NaN | 901.0 | 7.43 |
| 71 | Portugal | PRT | 2017 | Import | 12,248,721.0 | 96,421.0 | NaN | 400.0 | 127.03 |
| 72 | Honduras | HND | 2017 | Import | 111,733.0 | 12,994.0 | NaN | 19.0 | 8.60 |
| 73 | Indonesia | IDN | 2017 | Import | 10,251,219.0 | 817,620.0 | NaN | 0.0 | 12.54 |
| 74 | Slovakia | SVK | 2017 | Import | 1,962,979.0 | 83,550.0 | NaN | 0.0 | 23.49 |
| 75 | Netherlands | NLD | 2017 | Import | 1,709,574.0 | 1,904,961.0 | NaN | 722.0 | 0.90 |
| 76 | Iran | IRN | 2017 | Import | 1,597,962.0 | 449,352.0 | NaN | 0.0 | 3.56 |
| 77 | Finland | FIN | 2017 | Import | 1,219,731.0 | 27,068.0 | NaN | 0.0 | 45.06 |
| 78 | Belarus | BLR | 2017 | Import | 1,213,400.0 | 108,253.0 | NaN | 102.0 | 11.21 |
| 79 | Slovenia | SVN | 2017 | Import | 1,120,002.0 | 363,638.0 | NaN | 51.0 | 3.08 |