Collect India Export Data of product under HS Code 55151240 at SEAIR Exim Solutions. This is a sample report that provides authentic export statistics of product under HS Code 55151240.
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Date | Indian Port | CTH | Item Description | Quantity | UQC | U.P.USD | FOB USD | Destination Port | Country | Duty |
---|---|---|---|---|---|---|---|---|---|---|
22-Nov-2016 | mundra | 55151240 | we intend to claim rewards undermerchandise exports from india scheme(meis) | 1 | NOS | 0.00 | 0.00 | lome | togo | |
21-Nov-2016 | nhava sheva sea | 55151240 | stock lot textile material fabrics,gsm:80,printed fabrics manufacturing out of polyester spun yarn x polyester filamnet | 43891.2 | MTR | 0.31 | 13554.30 | mombasa | kenya | |
21-Nov-2016 | nhava sheva sea | 55151240 | gsm:78,printed fabrics manufacturing out of polyester spun yarn x polyester filamnet yarn.(52% & 48%) sz:112 cms x 3.20 | 96000 | MTR | 0.30 | 29042.26 | mombasa | kenya | |
21-Nov-2016 | nhava sheva sea | 55151240 | stock lot textile material fabrics,gsm:80,printed fabrics manufactured out of polyester spun x polyester filament yarn ( | 307238.4 | MTR | 0.31 | 95175.95 | mombasa | kenya | |
20-Nov-2016 | nhava sheva sea | 55151240 | wov fab cont 85% or more by wt of man-made staple fibre and man made filament yarn ( polyesteer)ptd. fab widht. 110 cms | 115214.4 | MTR | 0.28 | 31890.00 | tema | ghana | |
18-Nov-2016 | mundra | 55151240 | woven fabrics conta.85%or more by weightof m.m.staple fibre&/or m.m.f yarn(dyed&/or prtd.poly.fab.)size 108cms x11.68cm | 147168 | YDS | 0.33 | 48405.68 | mombasa | kenya | |
18-Nov-2016 | sabarmati icd | 55151240 | woven fabrics containing less than 85% by weight made of manmade staple fibre and manmade filament yarn (dyed & printed | 146816.51 | MTR | 0.42 | 62250.46 | lome | togo | |
18-Nov-2016 | mundra | 55151240 | we intend to claim rewards undermerchandise exports from india scheme(meis) | 1 | NOS | 0.00 | 0.00 | mombasa | kenya | |
18-Nov-2016 | nhava sheva sea | 55151240 | woven fabrics containing 85% or more by wt. of man made staple fibre and or man made filament yarn brasso printed out li | 10596 | MTR | 1.51 | 15969.96 | jebel ali | united arab emirates | |
18-Nov-2016 | nhava sheva sea | 55151240 | woven fabrics containing 85% or more by wt of man made staple fibre and man made filament yarn polyester viscose fabric | 549 | MTR | 1.40 | 766.49 | jebel ali | united arab emirates |
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The specific HSN code for depends on the product type. Seair is proficient in interpreting HS code 5201 for products and assisting you through the complexity of customs guidelines.
Absolutely! To find out accurate “HS Codes” for products, you need to visit the Seair Exim dashboard and explore the HSN codes for specific products.
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The export market is currently booming. Seair's data enables you to track global trade trends, analyze rival strategies, supplier details, and uncover profitable possibilities in this dynamic export market.
We understand the importance of accurate HS codes. We update information for exports every month, ensuring you remain compliant and avoid unnecessary delays.
We provide data-driven insights to help you identify new markets and potential suppliers in key hubs like China, Bangladesh, and Vietnam
Seair Exim Solutions offers a comprehensive database of export data, focusing on several key fields such as exporter names, ports, destinations, volumes, prices, product types (, yarn, fabrics), and more.
The export market includes more than just . We provide insights on the entire range of exported products, such as raw , yarn, textiles, and various completed commodities.
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Seair Exim can provide export data that allows businesses to analyze market trends, opportunities, challenges, and identify potential markets for exports.
With the help of our platform, you can easily analyze and download export data with the names of buyers and suppliers.
While other sources might exist, Seair Exim Solutions provides the latest, 100% genuine, and trusted export data for . From our data-driven dashboard, you can simply obtain the most recent export data as of Nov-2016.
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