Live Fabric Export data of Vietnam exports to pakistan under HS Code 600410 via Port Cchq-ck-mong-cai , our Vietnam customs export data reports include date, value, quantity, product description, HS code, port, country, and Vietnam fabric exporters data
Date |
HS Code |
Product Description |
Destination Country |
Custom Name |
QTY. |
Unit |
Value($) |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 29, 2024 |
60041010 |
KNITTED FABRIC 7K009280000 6020001344 Knitted cotton fabric, dyed, 95% cotton density, 5% spandex elastic fiber, weight 400g/m2, fabric width 68 inches, roll form, 100% new. Manufacturer: Ecotextile (Vietnam)#&VN |
Pakistan | CCHQ CK Mong Cai |
610 |
KGM |
4117.5 |
Exporter Name |
2024-04-29 00:00:00
KNITTED FABRIC 7K009280000 6020001344 Knitted cotton fabric, dyed, 95% cotton density, 5% spandex elastic fiber, weight 400g/m2, fabric width 68 inches, roll form, 100% new. Manufacturer: Ecotextile (Vietnam)#&VN
610
KGM
4117.5
The database includes shipment-level information such as shipment date, HS code, product description, quantity, value, port details, country of origin & destination, & importer-exporter information for accurate trade analysis of products under HS code 600410 for Vietnam fabric imports from Thailand via Port Cchq-ck-mong-cai.
Port Cchq-ck-mong-cai typically refers to a port that is used for handling and forwarding shipments from Vietnam, making it important for tracking inland and cross-border trade flows.
It helps businesses understand sourcing patterns, evaluate supplier performance, track pricing trends, and identify demand for fabric products, enabling better decision-making for trade and market expansion for Vietnam fabric exports from pakistan under HS code 600410 via Port Cchq-ck-mong-cai.
Businesses can identify key importers, evaluate supplier competitiveness, track pricing trends, and analyze demand for specific rubber products to make strategic sourcing and expansion decisions.
Importers, exporters, traders, manufacturers, and market analysts can use this data to understand trade patterns, optimize supply chains, identify potential partners, and gain a competitive advantage in the fabric market.
