Live Fabric Import data of Vietnam imports from china under HS Code 67 via Port Cchq-stationuhyen-vien-international-railway , our Vietnam customs import data reports include date, value, quantity, product description, HS code, port, country, and Vietnam fabric importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-19 00:00:00 |
67029020
|
Fake flower petals, made of non-woven fabric cut into petal shapes, used to make fake flowers, KT(4*4)cm+-10%, Not effective. 100% New | China | CCHQ StationUhYen Vien international railway | 2029 | KGM | 3043.5 | Importer Name |
2024-04-19 00:00:00
Fake flower petals, made of non-woven fabric cut into petal shapes, used to make fake flowers, KT(4*4)cm+-10%, Not effective. 100% New
2029
KGM
3043.5
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 67 for Vietnam fabric imports from Thailand via Port Cchq-stationuhyen-vien-international-railway.
Port Cchq-stationuhyen-vien-international-railway 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 fabric products, enabling better decision-making for trade and market expansion for Vietnam fabric imports from china under HS code 67 via Port Cchq-stationuhyen-vien-international-railway.
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.
