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; carding machines for preparing textile fibres”(HScode:844511)
The graphs that have been shared show the International Trade Price and Weight of
“Textile machinery; carding machines for preparing textile fibres”(HScode:844511)
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:844511)
Here is a graph which shows export statistics of
844511 – Textile machinery; carding machines for preparing textile fibres(HScode:844511) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
844511 – Textile machinery; carding machines for preparing textile fibres(HScode:844511) 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, China ranked at the top in exports of “844511 – Textile machinery; carding machines for preparing textile fibres” total export value 91,336,431.0USD
China is followed by Italy: 18,050,609.0USD
India: 10,833,164.0USD
Netherlands: 9,562,894.0USD
Rep. of Korea: 4,696,805.0USD and
France: 2,607,148.0USD
China is followed by Italy: 18,050,609.0USD
India: 10,833,164.0USD
Netherlands: 9,562,894.0USD
Rep. of Korea: 4,696,805.0USD and
France: 2,607,148.0USD
Supplier country’s “export value per KG” of (HScode:844511)
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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Belarus ranked first in Exports “844511 – Textile machinery; carding machines for preparing textile fibres” at the lowest price of 0.18USD/KG Belarus is followed by TFYR of Macedonia0.19USD/KG, Ukraine0.49USD/KG, Indonesia0.61USD/KG, Brazil0.74USD/KG, and Italy1.1USD/KG
Import Trade Statistics of (HScode:844511)
The statistics show the ranking of
844511 – Textile machinery; carding machines for preparing textile fibres(HScode:844511) worldwide in 2017
844511 – Textile machinery; carding machines for preparing textile fibres(HScode:844511) worldwide in 2017
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the top importing countries worldwide in 2017
China ranked first in imports of “844511 – Textile machinery; carding machines for preparing textile fibres” Total import value 69,864,128.0USD
China is followed by Turkey: 37,970,542.0USD
Pakistan: 22,887,296.0USD
Viet Nam: 20,209,686.0USD
India: 18,145,355.0USD and
Indonesia: 17,946,818.0USD
China ranked first in imports of “844511 – Textile machinery; carding machines for preparing textile fibres” Total import value 69,864,128.0USD
China is followed by Turkey: 37,970,542.0USD
Pakistan: 22,887,296.0USD
Viet Nam: 20,209,686.0USD
India: 18,145,355.0USD and
Indonesia: 17,946,818.0USD
Buyer country’s “import Value per KG” of (HScode:844511)
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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Malawi ranked first in imports “844511 – Textile machinery; carding machines for preparing textile fibres” at the highest price of 49.81/KG Malawi is followed by Algeria, Japan, Lithuania, Iran, and Italy
Table data of “844511 – Textile machinery; carding machines for preparing textile fibres”(HS:844511)[Export]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Netherlands | NLD | 2017 | Export | 9,562,894.0 | 3,601,916.0 | NaN | 513.0 | 2.65 |
| 1 | Iran | IRN | 2017 | Export | 67,523.0 | 27,190.0 | NaN | 2.0 | 2.48 |
| 2 | Belgium | BEL | 2017 | Export | 638,756.0 | 542,840.0 | NaN | 15.0 | 1.18 |
| 3 | United Kingdom | GBR | 2017 | Export | 628,714.0 | 355,444.0 | NaN | 483.0 | 1.77 |
| 4 | Indonesia | IDN | 2017 | Export | 588,113.0 | 963,834.0 | NaN | 21.0 | 0.61 |
| 5 | Morocco | MAR | 2017 | Export | 55,674.0 | 28,100.0 | NaN | 2.0 | 1.98 |
| 6 | Brazil | BRA | 2017 | Export | 49,648.0 | 67,292.0 | NaN | 15.0 | 0.74 |
| 7 | Rep. of Korea | KOR | 2017 | Export | 4,696,805.0 | 539,685.0 | NaN | 111.0 | 8.70 |
| 8 | Belarus | BLR | 2017 | Export | 34,200.0 | 185,808.0 | NaN | 13.0 | 0.18 |
| 9 | Greece | GRC | 2017 | Export | 249,500.0 | 226,830.0 | NaN | 93.0 | 1.10 |
| 10 | Ukraine | UKR | 2017 | Export | 24,800.0 | 50,850.0 | NaN | 8.0 | 0.49 |
| 11 | New Zealand | NZL | 2017 | Export | 229,545.0 | 15,818.0 | NaN | 15818.0 | 14.51 |
| 12 | Colombia | COL | 2017 | Export | 216,348.0 | 62,080.0 | NaN | 105.0 | 3.48 |
| 13 | Portugal | PRT | 2017 | Export | 212,225.0 | 53,834.0 | NaN | 26.0 | 3.94 |
| 14 | TFYR of Macedonia | MKD | 2017 | Export | 2,751.0 | 14,760.0 | NaN | 2.0 | 0.19 |
| 15 | France | FRA | 2017 | Export | 2,607,148.0 | 130,380.0 | NaN | 61.0 | 20.00 |
| 16 | Italy | ITA | 2017 | Export | 18,050,609.0 | 1,242,124.0 | NaN | 421.0 | 14.53 |
| 17 | Czechia | CZE | 2017 | Export | 130,859.0 | 78,883.0 | NaN | 16.0 | 1.66 |
| 18 | Japan | JPN | 2017 | Export | 108,605.0 | 70,628.0 | NaN | 2.0 | 1.54 |
| 19 | Spain | ESP | 2017 | Export | 1,607,402.0 | 147,878.0 | NaN | 38.0 | 10.87 |
| 20 | Turkey | TUR | 2017 | Export | 1,149,086.0 | 710,988.0 | NaN | 120.0 | 1.62 |
Table data of “844511 – Textile machinery; carding machines for preparing textile fibres”(HS:844511)[Import]
| Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Ireland | IRL | 2017 | Import | 968,758.0 | 200,007.0 | NaN | 2.0 | 4.84 |
| 1 | Singapore | SGP | 2017 | Import | 936,094.0 | 63,771.0 | NaN | 176.0 | 14.68 |
| 2 | Ecuador | ECU | 2017 | Import | 90,263.0 | 20,452.0 | NaN | 0.0 | 4.41 |
| 3 | USA | USA | 2017 | Import | 9,836,848.0 | 670,139.0 | NaN | 456.0 | 14.68 |
| 4 | Madagascar | MDG | 2017 | Import | 9,772.0 | 10,000.0 | NaN | 0.0 | 0.98 |
| 5 | Mexico | MEX | 2017 | Import | 9,079,960.0 | 618,576.0 | NaN | 0.0 | 14.68 |
| 6 | Tunisia | TUN | 2017 | Import | 83,527.0 | 33,220.0 | NaN | 3.0 | 2.51 |
| 7 | Uruguay | URY | 2017 | Import | 71,830.0 | 10,941.0 | NaN | 1.0 | 6.57 |
| 8 | China | CHN | 2017 | Import | 69,864,128.0 | 4,759,526.0 | NaN | 927.0 | 14.68 |
| 9 | Belarus | BLR | 2017 | Import | 667,900.0 | 96,439.0 | NaN | 12.0 | 6.93 |
| 10 | Iran | IRN | 2017 | Import | 6,484,742.0 | 317,370.0 | NaN | 102.0 | 20.43 |
| 11 | Armenia | ARM | 2017 | Import | 6,306.0 | 14,000.0 | NaN | 0.0 | 0.45 |
| 12 | Japan | JPN | 2017 | Import | 597,982.0 | 24,953.0 | NaN | 7.0 | 23.96 |
| 13 | United Kingdom | GBR | 2017 | Import | 59,295.0 | 15,998.0 | NaN | 426.0 | 3.71 |
| 14 | Malawi | MWI | 2017 | Import | 572,844.0 | 11,500.0 | NaN | 1.0 | 49.81 |
| 15 | France | FRA | 2017 | Import | 560,952.0 | 40,943.0 | NaN | 7.0 | 13.70 |
| 16 | Morocco | MAR | 2017 | Import | 54,291.0 | 27,636.0 | NaN | 0.0 | 1.96 |
| 17 | Kazakhstan | KAZ | 2017 | Import | 53,969.0 | 19,111.0 | NaN | 0.0 | 2.82 |
| 18 | Germany | DEU | 2017 | Import | 5,827,802.0 | 430,809.0 | NaN | 1069.0 | 13.53 |
| 19 | Lithuania | LTU | 2017 | Import | 435,101.0 | 20,445.0 | NaN | 21.0 | 21.28 |
| 20 | Bulgaria | BGR | 2017 | Import | 39,633.0 | 34,963.0 | NaN | 12.0 | 1.13 |
| 21 | Serbia | SRB | 2017 | Import | 38,769.0 | 60,500.0 | NaN | 0.0 | 0.64 |
| 22 | Turkey | TUR | 2017 | Import | 37,970,542.0 | 2,497,845.0 | NaN | 345.0 | 15.20 |
| 23 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 353,357.0 | 40,171.0 | NaN | 9.0 | 8.80 |
| 24 | Latvia | LVA | 2017 | Import | 35,188.0 | 16,059.0 | NaN | 4.0 | 2.19 |
| 25 | Rep. of Korea | KOR | 2017 | Import | 343,737.0 | 107,336.0 | NaN | 4.0 | 3.20 |
| 26 | Australia | AUS | 2017 | Import | 342,480.0 | 23,331.0 | NaN | 9.0 | 14.68 |
| 27 | Italy | ITA | 2017 | Import | 3,967,995.0 | 199,221.0 | NaN | 27.0 | 19.92 |
| 28 | Romania | ROU | 2017 | Import | 292,958.0 | 21,423.0 | NaN | 6.0 | 13.67 |
| 29 | Sudan | SDN | 2017 | Import | 291,251.0 | 19,841.0 | NaN | 3.0 | 14.68 |
| 30 | Slovakia | SVK | 2017 | Import | 288,263.0 | 14,736.0 | NaN | 2.0 | 19.56 |
| 31 | Hungary | HUN | 2017 | Import | 259,031.0 | 28,069.0 | NaN | 5.0 | 9.23 |
| 32 | Myanmar | MMR | 2017 | Import | 226,985.0 | 15,463.0 | NaN | 0.0 | 14.68 |
| 33 | Ukraine | UKR | 2017 | Import | 222,203.0 | 65,503.0 | NaN | 7.0 | 3.39 |
| 34 | Pakistan | PAK | 2017 | Import | 22,887,296.0 | 1,559,207.0 | NaN | 240.0 | 14.68 |
| 35 | Israel | ISR | 2017 | Import | 209,000.0 | 14,238.0 | NaN | 2.0 | 14.68 |
| 36 | Belgium | BEL | 2017 | Import | 202,064.0 | 78,250.0 | NaN | 2.0 | 2.58 |
| 37 | Viet Nam | VNM | 2017 | Import | 20,209,686.0 | 1,577,154.0 | NaN | 319.0 | 12.81 |
| 38 | Switzerland | CHE | 2017 | Import | 2,939,348.0 | 250,443.0 | NaN | 58.0 | 11.74 |
| 39 | Peru | PER | 2017 | Import | 198,421.0 | 59,186.0 | NaN | 0.0 | 3.35 |
| 40 | Brazil | BRA | 2017 | Import | 184,623.0 | 30,010.0 | NaN | 5.0 | 6.15 |
| 41 | India | IND | 2017 | Import | 18,145,355.0 | 1,236,160.0 | NaN | 1050.0 | 14.68 |
| 42 | Poland | POL | 2017 | Import | 175,498.0 | 34,044.0 | NaN | 1.0 | 5.16 |
| 43 | Indonesia | IDN | 2017 | Import | 17,946,818.0 | 1,898,058.0 | NaN | 283.0 | 9.46 |
| 44 | Netherlands | NLD | 2017 | Import | 13,018,946.0 | 4,300,972.0 | NaN | 609.0 | 3.03 |
| 45 | Malaysia | MYS | 2017 | Import | 12,636,023.0 | 860,834.0 | NaN | 84.0 | 14.68 |
| 46 | Mongolia | MNG | 2017 | Import | 107,297.0 | 88,470.0 | NaN | 15.0 | 1.21 |
| 47 | New Zealand | NZL | 2017 | Import | 106,250.0 | 24,750.0 | NaN | 1.0 | 4.29 |
| 48 | Algeria | DZA | 2017 | Import | 10,563,785.0 | 373,964.0 | NaN | 140.0 | 28.25 |
| 49 | Spain | ESP | 2017 | Import | 1,744,849.0 | 130,620.0 | NaN | 23.0 | 13.36 |
| 50 | Egypt | EGY | 2017 | Import | 1,731,909.0 | 117,987.0 | NaN | 24.0 | 14.68 |
| 51 | Argentina | ARG | 2017 | Import | 1,286,552.0 | 86,622.0 | NaN | 19.0 | 14.85 |
| 52 | Portugal | PRT | 2017 | Import | 1,196,337.0 | 69,563.0 | NaN | 26.0 | 17.20 |
| 53 | Russian Federation | RUS | 2017 | Import | 1,092,554.0 | 136,120.0 | NaN | 53.0 | 8.03 |