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
“Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445”(HScode:844590)
The graphs that have been shared show the International Trade Price and Weight of
“Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445”(HScode:844590)
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:844590)
Here is a graph which shows export statistics of
844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445(HScode:844590) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445(HScode:844590) 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, Italy ranked at the top in exports of “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445” total export value 60,501,057.0USD
Italy is followed by China: 55,123,500.0USD
Japan: 23,713,847.0USD
Rep. of Korea: 9,638,672.0USD
USA: 8,959,249.0USD and
Indonesia: 7,129,932.0USD
Italy is followed by China: 55,123,500.0USD
Japan: 23,713,847.0USD
Rep. of Korea: 9,638,672.0USD
USA: 8,959,249.0USD and
Indonesia: 7,129,932.0USD
Supplier country’s “export value per KG” of (HScode:844590)
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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Netherlands ranked first in Exports “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445” at the lowest price of 0.02USD/KG Netherlands is followed by Kazakhstan0.21USD/KG, Uruguay0.27USD/KG, Zambia0.4USD/KG, Kyrgyzstan0.54USD/KG, and Rep. of Korea0.88USD/KG
Import Trade Statistics of (HScode:844590)
The statistics show the ranking of
844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445(HScode:844590) worldwide in 2017
844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445(HScode:844590) worldwide in 2017
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the top importing countries worldwide in 2017
Viet Nam ranked first in imports of “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445” Total import value 81,308,063.0USD
Viet Nam is followed by China: 53,160,843.0USD
Pakistan: 41,695,463.0USD
Algeria: 31,242,978.0USD
India: 31,201,243.0USD and
Indonesia: 20,391,826.0USD
Viet Nam ranked first in imports of “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445” Total import value 81,308,063.0USD
Viet Nam is followed by China: 53,160,843.0USD
Pakistan: 41,695,463.0USD
Algeria: 31,242,978.0USD
India: 31,201,243.0USD and
Indonesia: 20,391,826.0USD
Buyer country’s “import Value per KG” of (HScode:844590)
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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France ranked first in imports “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445” at the highest price of 34.09/KG France is followed by Poland, Austria, Slovakia, Lithuania, and Rep. of Korea
Table data of “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445″(HS:844590)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Rep. of Korea | KOR | 2017 | Export | 9,638,672.0 | 1,137,115.0 | NaN | 0.0 | 8.48 |
1 | Kazakhstan | KAZ | 2017 | Export | 9,137.0 | 42,500.0 | NaN | 0.0 | 0.21 |
2 | Switzerland | CHE | 2017 | Export | 899,131.0 | 39,730.0 | NaN | 128.0 | 22.63 |
3 | Slovakia | SVK | 2017 | Export | 85,429.0 | 10,852.0 | NaN | 6.0 | 7.87 |
4 | Belarus | BLR | 2017 | Export | 76,200.0 | 39,604.0 | NaN | 14.0 | 1.92 |
5 | Indonesia | IDN | 2017 | Export | 7,129,932.0 | 1,976,410.0 | NaN | 0.0 | 3.61 |
6 | Israel | ISR | 2017 | Export | 657,000.0 | 32,346.0 | NaN | 0.0 | 20.31 |
7 | Austria | AUT | 2017 | Export | 62,789.0 | 10,200.0 | NaN | 0.0 | 6.16 |
8 | Italy | ITA | 2017 | Export | 60,501,057.0 | 8,166,945.0 | NaN | 12275.0 | 7.41 |
9 | Spain | ESP | 2017 | Export | 6,045,731.0 | 569,928.0 | NaN | 0.0 | 10.61 |
10 | Iran | IRN | 2017 | Export | 592,659.0 | 57,050.0 | NaN | 0.0 | 10.39 |
11 | Tunisia | TUN | 2017 | Export | 56,397.0 | 64,080.0 | NaN | 6.0 | 0.88 |
12 | Serbia | SRB | 2017 | Export | 55,897.0 | 14,920.0 | NaN | 0.0 | 3.75 |
13 | China | CHN | 2017 | Export | 55,123,500.0 | 2,713,891.0 | NaN | 0.0 | 20.31 |
14 | Romania | ROU | 2017 | Export | 52,943.0 | 11,625.0 | NaN | 13.0 | 4.55 |
15 | South Africa | ZAF | 2017 | Export | 508,956.0 | 25,057.0 | NaN | 0.0 | 20.31 |
16 | India | IND | 2017 | Export | 5,777,002.0 | 284,418.0 | NaN | 0.0 | 20.31 |
17 | France | FRA | 2017 | Export | 5,000,392.0 | 352,400.0 | NaN | 0.0 | 14.19 |
18 | Chile | CHL | 2017 | Export | 498,681.0 | 24,551.0 | NaN | 3.0 | 20.31 |
19 | Brazil | BRA | 2017 | Export | 486,124.0 | 203,020.0 | NaN | 128.0 | 2.39 |
20 | Netherlands | NLD | 2017 | Export | 445,074.0 | 21,044,938.0 | NaN | 7595.0 | 0.02 |
21 | Turkey | TUR | 2017 | Export | 4,293,336.0 | 539,269.0 | NaN | 144.0 | 7.96 |
22 | Portugal | PRT | 2017 | Export | 367,089.0 | 19,219.0 | NaN | 13.0 | 19.10 |
23 | Singapore | SGP | 2017 | Export | 330,539.0 | 16,273.0 | NaN | 143.0 | 20.31 |
24 | Slovenia | SVN | 2017 | Export | 319,586.0 | 20,738.0 | NaN | 4.0 | 15.41 |
25 | Georgia | GEO | 2017 | Export | 31,500.0 | 18,355.0 | NaN | 3.0 | 1.72 |
26 | Greece | GRC | 2017 | Export | 309,932.0 | 350,827.0 | NaN | 106.0 | 0.88 |
27 | Zambia | ZMB | 2017 | Export | 27,426.0 | 68,113.0 | NaN | 0.0 | 0.40 |
28 | Japan | JPN | 2017 | Export | 23,713,847.0 | 1,342,760.0 | NaN | 0.0 | 17.66 |
29 | Russian Federation | RUS | 2017 | Export | 22,135.0 | 20,832.0 | NaN | 6.0 | 1.06 |
30 | Poland | POL | 2017 | Export | 208,099.0 | 51,196.0 | NaN | 107.0 | 4.06 |
31 | Kyrgyzstan | KGZ | 2017 | Export | 20,000.0 | 37,360.0 | NaN | 2.0 | 0.54 |
32 | Colombia | COL | 2017 | Export | 18,079.0 | 11,622.0 | NaN | 11.0 | 1.56 |
33 | Morocco | MAR | 2017 | Export | 177,330.0 | 28,472.0 | NaN | 0.0 | 6.23 |
34 | Uruguay | URY | 2017 | Export | 10,500.0 | 39,571.0 | NaN | 6.0 | 0.27 |
35 | United Kingdom | GBR | 2017 | Export | 1,494,422.0 | 86,634.0 | NaN | 4062.0 | 17.25 |
36 | China, Hong Kong SAR | HKG | 2017 | Export | 1,438,591.0 | 70,826.0 | NaN | 6.0 | 20.31 |
37 | Belgium | BEL | 2017 | Export | 1,065,906.0 | 204,036.0 | NaN | 0.0 | 5.22 |
Table data of “844590 – Textile machinery; involved in textile fibre or textile yarn preparation and n.e.c. in heading no. 8445″(HS:844590)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Malawi | MWI | 2017 | Import | 987,010.0 | 41,835.0 | NaN | 126.0 | 23.59 |
1 | United Rep. of Tanzania | TZA | 2017 | Import | 984,227.0 | 80,316.0 | NaN | 0.0 | 12.25 |
2 | Lithuania | LTU | 2017 | Import | 933,824.0 | 31,673.0 | NaN | 234.0 | 29.48 |
3 | Côte d’Ivoire | CIV | 2017 | Import | 814,255.0 | 83,898.0 | NaN | 18.0 | 9.71 |
4 | Viet Nam | VNM | 2017 | Import | 81,308,063.0 | 4,912,264.0 | NaN | 1999.0 | 16.55 |
5 | Paraguay | PRY | 2017 | Import | 79,896.0 | 20,432.0 | NaN | 0.0 | 3.91 |
6 | Tunisia | TUN | 2017 | Import | 76,955.0 | 17,705.0 | NaN | 99.0 | 4.35 |
7 | Bulgaria | BGR | 2017 | Import | 753,574.0 | 68,339.0 | NaN | 49.0 | 11.03 |
8 | Morocco | MAR | 2017 | Import | 739,402.0 | 176,314.0 | NaN | 18.0 | 4.19 |
9 | Nepal | NPL | 2017 | Import | 698,817.0 | 49,205.0 | NaN | 0.0 | 14.20 |
10 | Belarus | BLR | 2017 | Import | 683,700.0 | 47,271.0 | NaN | 33.0 | 14.46 |
11 | United Kingdom | GBR | 2017 | Import | 647,871.0 | 80,575.0 | NaN | 0.0 | 8.04 |
12 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 640,611.0 | 73,961.0 | NaN | 218.0 | 8.66 |
13 | New Zealand | NZL | 2017 | Import | 61,883.0 | 47,258.0 | NaN | 0.0 | 1.31 |
14 | USA | USA | 2017 | Import | 6,782,336.0 | 477,563.0 | NaN | 826.0 | 14.20 |
15 | Uganda | UGA | 2017 | Import | 594,984.0 | 268,692.0 | NaN | 0.0 | 2.21 |
16 | Denmark | DNK | 2017 | Import | 582,785.0 | 41,035.0 | NaN | 0.0 | 14.20 |
17 | China | CHN | 2017 | Import | 53,160,843.0 | 3,743,203.0 | NaN | 0.0 | 14.20 |
18 | Dominican Rep. | DOM | 2017 | Import | 529,856.0 | 37,308.0 | NaN | 0.0 | 14.20 |
19 | Hungary | HUN | 2017 | Import | 52,172.0 | 10,742.0 | NaN | 0.0 | 4.86 |
20 | Austria | AUT | 2017 | Import | 512,103.0 | 16,000.0 | NaN | 0.0 | 32.01 |
21 | Egypt | EGY | 2017 | Import | 5,986,549.0 | 421,529.0 | NaN | 134.0 | 14.20 |
22 | Rep. of Korea | KOR | 2017 | Import | 5,469,864.0 | 188,027.0 | NaN | 0.0 | 29.09 |
23 | Ecuador | ECU | 2017 | Import | 483,407.0 | 65,543.0 | NaN | 0.0 | 7.38 |
24 | Senegal | SEN | 2017 | Import | 46,869.0 | 15,772.0 | NaN | 1.0 | 2.97 |
25 | Mauritius | MUS | 2017 | Import | 458,020.0 | 32,250.0 | NaN | 315.0 | 14.20 |
26 | Azerbaijan | AZE | 2017 | Import | 42,479.0 | 14,375.0 | NaN | 10.0 | 2.96 |
27 | Pakistan | PAK | 2017 | Import | 41,695,463.0 | 2,935,894.0 | NaN | 793.0 | 14.20 |
28 | Russian Federation | RUS | 2017 | Import | 4,284,446.0 | 576,533.0 | NaN | 293.0 | 7.43 |
29 | Ukraine | UKR | 2017 | Import | 381,610.0 | 68,544.0 | NaN | 29.0 | 5.57 |
30 | Singapore | SGP | 2017 | Import | 378,792.0 | 26,671.0 | NaN | 504.0 | 14.20 |
31 | Slovakia | SVK | 2017 | Import | 351,122.0 | 11,561.0 | NaN | 25.0 | 30.37 |
32 | Mali | MLI | 2017 | Import | 33,578.0 | 20,880.0 | NaN | 0.0 | 1.61 |
33 | Kyrgyzstan | KGZ | 2017 | Import | 321,335.0 | 58,295.0 | NaN | 23.0 | 5.51 |
34 | Algeria | DZA | 2017 | Import | 31,242,978.0 | 1,125,992.0 | NaN | 0.0 | 27.75 |
35 | India | IND | 2017 | Import | 31,201,243.0 | 2,196,966.0 | NaN | 6828.0 | 14.20 |
36 | Portugal | PRT | 2017 | Import | 3,870,294.0 | 218,369.0 | NaN | 73.0 | 17.72 |
37 | El Salvador | SLV | 2017 | Import | 3,279,039.0 | 206,726.0 | NaN | 0.0 | 15.86 |
38 | Mauritania | MRT | 2017 | Import | 29,396.0 | 22,055.0 | NaN | 0.0 | 1.33 |
39 | Armenia | ARM | 2017 | Import | 276,127.0 | 51,141.0 | NaN | 14.0 | 5.40 |
40 | Mongolia | MNG | 2017 | Import | 27,080.0 | 13,381.0 | NaN | 6.0 | 2.02 |
41 | Romania | ROU | 2017 | Import | 263,147.0 | 30,181.0 | NaN | 78.0 | 8.72 |
42 | Switzerland | CHE | 2017 | Import | 226,089.0 | 11,285.0 | NaN | 29.0 | 20.03 |
43 | Slovenia | SVN | 2017 | Import | 221,404.0 | 11,010.0 | NaN | 6.0 | 20.11 |
44 | Sudan | SDN | 2017 | Import | 209,297.0 | 14,737.0 | NaN | 0.0 | 14.20 |
45 | Indonesia | IDN | 2017 | Import | 20,391,826.0 | 2,607,981.0 | NaN | 501.0 | 7.82 |
46 | France | FRA | 2017 | Import | 2,662,531.0 | 78,093.0 | NaN | 0.0 | 34.09 |
47 | Brazil | BRA | 2017 | Import | 2,599,933.0 | 180,817.0 | NaN | 1421.0 | 14.38 |
48 | Malaysia | MYS | 2017 | Import | 2,598,095.0 | 182,939.0 | NaN | 146.0 | 14.20 |
49 | South Africa | ZAF | 2017 | Import | 2,475,800.0 | 174,328.0 | NaN | 0.0 | 14.20 |
50 | Nigeria | NGA | 2017 | Import | 2,290,916.0 | 161,309.0 | NaN | 51.0 | 14.20 |
51 | Belgium | BEL | 2017 | Import | 2,213,347.0 | 183,737.0 | NaN | 0.0 | 12.05 |
52 | Chile | CHL | 2017 | Import | 173,923.0 | 12,246.0 | NaN | 793.0 | 14.20 |
53 | Albania | ALB | 2017 | Import | 17,118.0 | 34,684.0 | NaN | 5.0 | 0.49 |
54 | Iran | IRN | 2017 | Import | 16,989,559.0 | 1,055,589.0 | NaN | 417.0 | 16.09 |
55 | Kazakhstan | KAZ | 2017 | Import | 150,875.0 | 57,198.0 | NaN | 0.0 | 2.64 |
56 | Turkey | TUR | 2017 | Import | 15,246,476.0 | 925,196.0 | NaN | 564.0 | 16.48 |
57 | Serbia | SRB | 2017 | Import | 149,956.0 | 22,666.0 | NaN | 0.0 | 6.62 |
58 | Kenya | KEN | 2017 | Import | 141,731.0 | 17,254.0 | NaN | 22.0 | 8.21 |
59 | Philippines | PHL | 2017 | Import | 140,094.0 | 43,074.0 | NaN | 68.0 | 3.25 |
60 | Nicaragua | NIC | 2017 | Import | 133,285.0 | 14,204.0 | NaN | 0.0 | 9.38 |
61 | Luxembourg | LUX | 2017 | Import | 129,624.0 | 13,669.0 | NaN | 8.0 | 9.48 |
62 | Italy | ITA | 2017 | Import | 11,680,814.0 | 791,798.0 | NaN | 8268.0 | 14.75 |
63 | Mexico | MEX | 2017 | Import | 11,254,399.0 | 792,453.0 | NaN | 0.0 | 14.20 |
64 | Georgia | GEO | 2017 | Import | 10,761.0 | 10,108.0 | NaN | 5.0 | 1.06 |
65 | Colombia | COL | 2017 | Import | 1,863,271.0 | 85,218.0 | NaN | 0.0 | 21.86 |
66 | Japan | JPN | 2017 | Import | 1,603,040.0 | 60,719.0 | NaN | 0.0 | 26.40 |
67 | Argentina | ARG | 2017 | Import | 1,565,500.0 | 110,489.0 | NaN | 28.0 | 14.17 |
68 | Sri Lanka | LKA | 2017 | Import | 1,296,208.0 | 91,269.0 | NaN | 1051.0 | 14.20 |
69 | Germany | DEU | 2017 | Import | 1,264,012.0 | 134,893.0 | NaN | 42.0 | 9.37 |
70 | Poland | POL | 2017 | Import | 1,234,963.0 | 37,675.0 | NaN | 837.0 | 32.78 |
71 | Spain | ESP | 2017 | Import | 1,233,460.0 | 204,251.0 | NaN | 0.0 | 6.04 |
72 | China, Hong Kong SAR | HKG | 2017 | Import | 1,127,248.0 | 79,372.0 | NaN | 20.0 | 14.20 |
73 | Czechia | CZE | 2017 | Import | 1,016,764.0 | 39,520.0 | NaN | 0.0 | 25.73 |
74 | Peru | PER | 2017 | Import | 1,010,960.0 | 122,060.0 | NaN | 0.0 | 8.28 |