Live Packaging Import data of Vietnam imports from vietnam under HS Code 52 via Port Ky-ha-port-authority , our Vietnam customs import data reports include date, value, quantity, product description, HS code, port, country, and Vietnam packaging importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-13 00:00:00 |
52062300
|
20SS003#&Yarn 60% Cotton, 40% Polyester BN85(CVC-AA) 30S/1 Single yarn, made from combed fiber, count 50.7, dyed yarn, rolled, used for textile industry, brand: BROS, new 100 %, not in retail packaging | VIETNAM | Ky Ha Port Authority | 24.22 | KGM | 156.459989 | Importer Name |
2024-04-13 00:00:00
20SS003#&Yarn 60% Cotton, 40% Polyester BN85(CVC-AA) 30S/1 Single yarn, made from combed fiber, count 50.7, dyed yarn, rolled, used for textile industry, brand: BROS, new 100 %, not in retail packaging
24.22
KGM
156.459989
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 52 for Vietnam packaging imports from Thailand via Port Ky-ha-port-authority.
Port Ky-ha-port-authority typically refers to a port that is used for handling and forwarding shipments into 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 packaging products, enabling better decision-making for trade and market expansion for Vietnam packaging imports from vietnam under HS code 52 via Port Ky-ha-port-authority.
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 packaging market.
