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; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled”(HScode:846019)
The graphs that have been shared show the International Trade Price and Weight of
“Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled”(HScode:846019)
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:846019)
Here is a graph which shows export statistics of
846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled(HScode:846019) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled(HScode:846019) 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 “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled” total export value 33,341,329.0USD
Germany is followed by Italy: 24,630,474.0USD
Japan: 15,171,691.0USD
China: 13,489,539.0USD
Switzerland: 8,407,780.0USD and
Rep. of Korea: 5,111,835.0USD
Germany is followed by Italy: 24,630,474.0USD
Japan: 15,171,691.0USD
China: 13,489,539.0USD
Switzerland: 8,407,780.0USD and
Rep. of Korea: 5,111,835.0USD
Supplier country’s “export value per KG” of (HScode:846019)
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 “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled” at the lowest price of 0.43USD/KG Armenia is followed by Slovakia1.84USD/KG, Russian Federation3.56USD/KG, Poland3.57USD/KG, Iran4.43USD/KG, and Finland4.63USD/KG
Import Trade Statistics of (HScode:846019)
The statistics show the ranking of
846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled(HScode:846019) worldwide in 2017
846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled(HScode:846019) worldwide in 2017
the top importing countries worldwide in 2017
USA ranked first in imports of “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled” Total import value 17,838,959.0USD
USA is followed by China: 16,537,514.0USD
Japan: 14,245,367.0USD
Germany: 13,724,030.0USD
Viet Nam: 12,919,776.0USD and
India: 10,506,488.0USD
USA ranked first in imports of “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled” Total import value 17,838,959.0USD
USA is followed by China: 16,537,514.0USD
Japan: 14,245,367.0USD
Germany: 13,724,030.0USD
Viet Nam: 12,919,776.0USD and
India: 10,506,488.0USD
Buyer country’s “import Value per KG” of (HScode:846019)
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.
Austria ranked first in imports “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled” at the highest price of 31.01/KG Austria is followed by Switzerland, Hungary, Romania, Belgium, and Finland
Table data of “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled”(HS:846019)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Sweden | SWE | 2017 | Export | 848,530.0 | 45,918.0 | NaN | 311.0 | 18.48 |
| 1 | Armenia | ARM | 2017 | Export | 8,900.0 | 20,900.0 | NaN | 4.0 | 0.43 |
| 2 | Switzerland | CHE | 2017 | Export | 8,407,780.0 | 338,474.0 | NaN | 133.0 | 24.84 |
| 3 | Mexico | MEX | 2017 | Export | 719,905.0 | 40,811.0 | NaN | 16.0 | 17.64 |
| 4 | Belgium | BEL | 2017 | Export | 695,883.0 | 121,739.0 | NaN | 48.0 | 5.72 |
| 5 | India | IND | 2017 | Export | 632,589.0 | 35,861.0 | NaN | 0.0 | 17.64 |
| 6 | Turkey | TUR | 2017 | Export | 565,091.0 | 88,170.0 | NaN | 55.0 | 6.41 |
| 7 | Rep. of Korea | KOR | 2017 | Export | 5,111,835.0 | 395,195.0 | NaN | 354.0 | 12.93 |
| 8 | Bulgaria | BGR | 2017 | Export | 474,880.0 | 79,109.0 | NaN | 15.0 | 6.00 |
| 9 | Romania | ROU | 2017 | Export | 464,467.0 | 11,500.0 | NaN | 6.0 | 40.39 |
| 10 | Poland | POL | 2017 | Export | 441,713.0 | 123,814.0 | NaN | 0.0 | 3.57 |
| 11 | Lithuania | LTU | 2017 | Export | 409,537.0 | 29,722.0 | NaN | 45.0 | 13.78 |
| 12 | Philippines | PHL | 2017 | Export | 406,811.0 | 18,267.0 | NaN | 86.0 | 22.27 |
| 13 | Netherlands | NLD | 2017 | Export | 4,922,309.0 | 592,921.0 | NaN | 680.0 | 8.30 |
| 14 | Slovakia | SVK | 2017 | Export | 37,155.0 | 20,194.0 | NaN | 20.0 | 1.84 |
| 15 | Germany | DEU | 2017 | Export | 33,341,329.0 | 1,903,541.0 | NaN | 1068.0 | 17.52 |
| 16 | Russian Federation | RUS | 2017 | Export | 306,040.0 | 85,992.0 | NaN | 32.0 | 3.56 |
| 17 | Viet Nam | VNM | 2017 | Export | 290,624.0 | 16,781.0 | NaN | 11.0 | 17.32 |
| 18 | El Salvador | SLV | 2017 | Export | 267,212.0 | 12,607.0 | NaN | 18.0 | 21.20 |
| 19 | Italy | ITA | 2017 | Export | 24,630,474.0 | 5,325,154.0 | NaN | 4856.0 | 4.63 |
| 20 | Norway | NOR | 2017 | Export | 226,615.0 | 35,464.0 | NaN | 40.0 | 6.39 |
| 21 | Serbia | SRB | 2017 | Export | 219,813.0 | 44,424.0 | NaN | 15.0 | 4.95 |
| 22 | Morocco | MAR | 2017 | Export | 203,842.0 | 17,350.0 | NaN | 8.0 | 11.75 |
| 23 | Singapore | SGP | 2017 | Export | 2,703,310.0 | 153,252.0 | NaN | 259.0 | 17.64 |
| 24 | Belarus | BLR | 2017 | Export | 2,517,100.0 | 384,307.0 | NaN | 106.0 | 6.55 |
| 25 | Denmark | DNK | 2017 | Export | 191,120.0 | 10,834.0 | NaN | 13.0 | 17.64 |
| 26 | Iran | IRN | 2017 | Export | 154,172.0 | 34,818.0 | NaN | 6.0 | 4.43 |
| 27 | Japan | JPN | 2017 | Export | 15,171,691.0 | 1,859,888.0 | NaN | 1051.0 | 8.16 |
| 28 | Greece | GRC | 2017 | Export | 131,374.0 | 20,015.0 | NaN | 7.0 | 6.56 |
| 29 | China | CHN | 2017 | Export | 13,489,539.0 | 2,771,929.0 | NaN | 934.0 | 4.87 |
| 30 | Czechia | CZE | 2017 | Export | 1,887,747.0 | 129,597.0 | NaN | 675.0 | 14.57 |
| 31 | Spain | ESP | 2017 | Export | 1,836,098.0 | 117,339.0 | NaN | 127.0 | 15.65 |
| 32 | China, Hong Kong SAR | HKG | 2017 | Export | 1,391,117.0 | 78,863.0 | NaN | 76.0 | 17.64 |
| 33 | France | FRA | 2017 | Export | 1,114,374.0 | 177,162.0 | NaN | 77.0 | 6.29 |
| 34 | Austria | AUT | 2017 | Export | 1,024,541.0 | 18,103.0 | NaN | 70.0 | 56.60 |
Table data of “846019 – Machine-tools; flat-surface grinding machines, in which positioning in any one axis can be set up to an accuracy of 0.01mm or better, other than numerically controlled”(HS:846019)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Denmark | DNK | 2017 | Import | 962,988.0 | 94,335.0 | NaN | 33.0 | 10.21 |
| 1 | Azerbaijan | AZE | 2017 | Import | 95,060.0 | 20,301.0 | NaN | 34.0 | 4.68 |
| 2 | Slovakia | SVK | 2017 | Import | 923,630.0 | 55,263.0 | NaN | 0.0 | 16.71 |
| 3 | France | FRA | 2017 | Import | 9,791,816.0 | 715,306.0 | NaN | 335.0 | 13.69 |
| 4 | Sweden | SWE | 2017 | Import | 835,563.0 | 60,289.0 | NaN | 0.0 | 13.86 |
| 5 | Kenya | KEN | 2017 | Import | 823,336.0 | 60,726.0 | NaN | 74.0 | 13.56 |
| 6 | Kazakhstan | KAZ | 2017 | Import | 82,626.0 | 18,397.0 | NaN | 2.0 | 4.49 |
| 7 | Albania | ALB | 2017 | Import | 81,376.0 | 75,156.0 | NaN | 11.0 | 1.08 |
| 8 | Malaysia | MYS | 2017 | Import | 7,111,406.0 | 696,645.0 | NaN | 317.0 | 10.21 |
| 9 | Bulgaria | BGR | 2017 | Import | 691,847.0 | 61,740.0 | NaN | 0.0 | 11.21 |
| 10 | Algeria | DZA | 2017 | Import | 625,090.0 | 44,127.0 | NaN | 21.0 | 14.17 |
| 11 | Paraguay | PRY | 2017 | Import | 62,574.0 | 13,400.0 | NaN | 2.0 | 4.67 |
| 12 | Italy | ITA | 2017 | Import | 6,953,920.0 | 1,301,155.0 | NaN | 2627.0 | 5.34 |
| 13 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 59,498.0 | 13,443.0 | NaN | 70.0 | 4.43 |
| 14 | China, Hong Kong SAR | HKG | 2017 | Import | 544,205.0 | 53,311.0 | NaN | 15.0 | 10.21 |
| 15 | South Africa | ZAF | 2017 | Import | 530,550.0 | 51,973.0 | NaN | 0.0 | 10.21 |
| 16 | Lebanon | LBN | 2017 | Import | 52,660.0 | 17,498.0 | NaN | 1.0 | 3.01 |
| 17 | Rep. of Korea | KOR | 2017 | Import | 5,461,841.0 | 587,484.0 | NaN | 190.0 | 9.30 |
| 18 | Mexico | MEX | 2017 | Import | 5,287,953.0 | 518,016.0 | NaN | 4320.0 | 10.21 |
| 19 | Russian Federation | RUS | 2017 | Import | 5,243,846.0 | 654,618.0 | NaN | 241.0 | 8.01 |
| 20 | Philippines | PHL | 2017 | Import | 5,065,555.0 | 389,437.0 | NaN | 8635.0 | 13.01 |
| 21 | Argentina | ARG | 2017 | Import | 488,069.0 | 37,679.0 | NaN | 34.0 | 12.95 |
| 22 | Australia | AUS | 2017 | Import | 476,434.0 | 46,672.0 | NaN | 115.0 | 10.21 |
| 23 | Rep. of Moldova | MDA | 2017 | Import | 47,490.0 | 33,200.0 | NaN | 6.0 | 1.43 |
| 24 | Chile | CHL | 2017 | Import | 451,085.0 | 44,189.0 | NaN | 86.0 | 10.21 |
| 25 | Central African Rep. | CAF | 2017 | Import | 438,129.0 | 44,217.0 | NaN | 16.0 | 9.91 |
| 26 | Israel | ISR | 2017 | Import | 428,000.0 | 41,927.0 | NaN | 14.0 | 10.21 |
| 27 | Myanmar | MMR | 2017 | Import | 409,508.0 | 40,182.0 | NaN | 0.0 | 10.19 |
| 28 | Indonesia | IDN | 2017 | Import | 4,354,650.0 | 429,841.0 | NaN | 189.0 | 10.13 |
| 29 | Turkey | TUR | 2017 | Import | 4,133,039.0 | 394,039.0 | NaN | 133.0 | 10.49 |
| 30 | Greece | GRC | 2017 | Import | 389,489.0 | 23,782.0 | NaN | 0.0 | 16.38 |
| 31 | Madagascar | MDG | 2017 | Import | 37,095.0 | 17,814.0 | NaN | 1.0 | 2.08 |
| 32 | Ukraine | UKR | 2017 | Import | 367,535.0 | 72,099.0 | NaN | 45.0 | 5.10 |
| 33 | Mozambique | MOZ | 2017 | Import | 35,860.0 | 18,432.0 | NaN | 0.0 | 1.95 |
| 34 | Finland | FIN | 2017 | Import | 340,243.0 | 18,671.0 | NaN | 437.0 | 18.22 |
| 35 | New Zealand | NZL | 2017 | Import | 336,131.0 | 20,959.0 | NaN | 11.0 | 16.04 |
| 36 | Lithuania | LTU | 2017 | Import | 329,577.0 | 33,058.0 | NaN | 338.0 | 9.97 |
| 37 | Costa Rica | CRI | 2017 | Import | 328,674.0 | 20,283.0 | NaN | 11.0 | 16.20 |
| 38 | Belarus | BLR | 2017 | Import | 318,700.0 | 68,376.0 | NaN | 39.0 | 4.66 |
| 39 | Egypt | EGY | 2017 | Import | 315,190.0 | 30,876.0 | NaN | 11.0 | 10.21 |
| 40 | Honduras | HND | 2017 | Import | 31,859.0 | 11,859.0 | NaN | 0.0 | 2.69 |
| 41 | Czechia | CZE | 2017 | Import | 3,939,623.0 | 311,249.0 | NaN | 289.0 | 12.66 |
| 42 | Singapore | SGP | 2017 | Import | 3,820,303.0 | 374,243.0 | NaN | 0.0 | 10.21 |
| 43 | Switzerland | CHE | 2017 | Import | 3,632,596.0 | 124,168.0 | NaN | 83.0 | 29.26 |
| 44 | Poland | POL | 2017 | Import | 3,625,400.0 | 268,785.0 | NaN | 2652.0 | 13.49 |
| 45 | Kuwait | KWT | 2017 | Import | 292,797.0 | 191,930.0 | NaN | 0.0 | 1.53 |
| 46 | Oman | OMN | 2017 | Import | 260,538.0 | 46,003.0 | NaN | 9.0 | 5.66 |
| 47 | Ecuador | ECU | 2017 | Import | 258,278.0 | 31,447.0 | NaN | 0.0 | 8.21 |
| 48 | Colombia | COL | 2017 | Import | 246,323.0 | 34,681.0 | NaN | 2045.0 | 7.10 |
| 49 | Peru | PER | 2017 | Import | 208,656.0 | 81,666.0 | NaN | 126.0 | 2.55 |
| 50 | United Rep. of Tanzania | TZA | 2017 | Import | 20,253.0 | 15,018.0 | NaN | 0.0 | 1.35 |
| 51 | United Kingdom | GBR | 2017 | Import | 2,655,817.0 | 302,641.0 | NaN | 4440.0 | 8.78 |
| 52 | Nigeria | NGA | 2017 | Import | 2,619,320.0 | 256,592.0 | NaN | 98.0 | 10.21 |
| 53 | Spain | ESP | 2017 | Import | 2,456,001.0 | 206,988.0 | NaN | 85.0 | 11.87 |
| 54 | Belgium | BEL | 2017 | Import | 2,218,030.0 | 120,715.0 | NaN | 77.0 | 18.37 |
| 55 | Romania | ROU | 2017 | Import | 2,131,817.0 | 110,289.0 | NaN | 209.0 | 19.33 |
| 56 | Serbia | SRB | 2017 | Import | 180,708.0 | 112,102.0 | NaN | 6.0 | 1.61 |
| 57 | Brazil | BRA | 2017 | Import | 173,024.0 | 18,696.0 | NaN | 13.0 | 9.25 |
| 58 | USA | USA | 2017 | Import | 17,838,959.0 | 1,747,533.0 | NaN | 1414.0 | 10.21 |
| 59 | Senegal | SEN | 2017 | Import | 17,711.0 | 13,986.0 | NaN | 0.0 | 1.27 |
| 60 | China | CHN | 2017 | Import | 16,537,514.0 | 1,227,949.0 | NaN | 575.0 | 13.47 |
| 61 | Sri Lanka | LKA | 2017 | Import | 150,514.0 | 14,744.0 | NaN | 0.0 | 10.21 |
| 62 | Japan | JPN | 2017 | Import | 14,245,367.0 | 1,636,357.0 | NaN | 495.0 | 8.71 |
| 63 | El Salvador | SLV | 2017 | Import | 139,589.0 | 17,112.0 | NaN | 4.0 | 8.16 |
| 64 | Estonia | EST | 2017 | Import | 132,909.0 | 13,502.0 | NaN | 10.0 | 9.84 |
| 65 | Morocco | MAR | 2017 | Import | 131,583.0 | 10,921.0 | NaN | 5.0 | 12.05 |
| 66 | Germany | DEU | 2017 | Import | 13,724,030.0 | 1,357,225.0 | NaN | 598.0 | 10.11 |
| 67 | Ghana | GHA | 2017 | Import | 127,543.0 | 31,865.0 | NaN | 4.0 | 4.00 |
| 68 | Viet Nam | VNM | 2017 | Import | 12,919,776.0 | 1,136,533.0 | NaN | 562.0 | 11.37 |
| 69 | Bosnia Herzegovina | BIH | 2017 | Import | 117,602.0 | 55,719.0 | NaN | 4.0 | 2.11 |
| 70 | Nicaragua | NIC | 2017 | Import | 108,062.0 | 11,187.0 | NaN | 3.0 | 9.66 |
| 71 | India | IND | 2017 | Import | 10,506,488.0 | 1,029,232.0 | NaN | 657.0 | 10.21 |
| 72 | Austria | AUT | 2017 | Import | 1,955,101.0 | 63,052.0 | NaN | 68.0 | 31.01 |
| 73 | Portugal | PRT | 2017 | Import | 1,445,442.0 | 134,451.0 | NaN | 414.0 | 10.75 |
| 74 | Netherlands | NLD | 2017 | Import | 1,267,397.0 | 1,005,740.0 | NaN | 1108.0 | 1.26 |
| 75 | Iran | IRN | 2017 | Import | 1,008,828.0 | 495,797.0 | NaN | 43.0 | 2.03 |
| 76 | Hungary | HUN | 2017 | Import | 1,003,143.0 | 51,410.0 | NaN | 58.0 | 19.51 |