Live Garments Import data of Vietnam imports from china under HS Code 52093900 via Port Thai-binh-provincial-headquarters , our Vietnam customs import data reports include date, value, quantity, product description, HS code, port, country, and Vietnam garments importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-17 00:00:00 |
52093900
|
VTT1#&Woven fabric 97% COTTON, 3% PU (from cotton, with cotton density of 85% or more, dyed, size 54", 348g/m2), npl in garment production, 100% new product | China | Thai Binh Provincial Headquarters | 1094.71 | YRD | 6686.68025425 | Importer Name |
2024-04-17 00:00:00
VTT1#&Woven fabric 97% COTTON, 3% PU (from cotton, with cotton density of 85% or more, dyed, size 54", 348g/m2), npl in garment production, 100% new product
1094.71
YRD
6686.68025425
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 52093900 for Vietnam garments imports from Thailand via Port Thai-binh-provincial-headquarters.
Port Thai-binh-provincial-headquarters 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 garments products, enabling better decision-making for trade and market expansion for Vietnam garments imports from china under HS code 52093900 via Port Thai-binh-provincial-headquarters.
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 garments market.
