Live Apparel Import data of Philippines imports from viet-nam under HS Code 620530 via Port Manila-int'l-container-port , our Philippines customs import data reports include date, value, quantity, product description, HS code, port, country, and Philippines apparel importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Weight |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-11-04 00:00:00 |
62053090000
|
PUMA BRANDED APPARELS, MENS TSHIRT LONG SLEEVES 100%RECYCLE POLYESTER (WOVEN), BVB ANNIVERSARY JERSEY AUTHENTIC LS YELLOW ALERT-PUMA BLACK, MALE, SIZE: XS-XXL, 8445024551 | VIET NAM | Manila Int'l Container Port | 50 | Piece | 1728.27 | Importer Name |
2024-11-04 00:00:00
PUMA BRANDED APPARELS, MENS TSHIRT LONG SLEEVES 100%RECYCLE POLYESTER (WOVEN), BVB ANNIVERSARY JERSEY AUTHENTIC LS YELLOW ALERT-PUMA BLACK, MALE, SIZE: XS-XXL, 8445024551
50
Piece
1728.27
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 620530 for Philippines apparel imports from Thailand via Port Manila-int'l-container-port.
Port Manila-int'l-container-port typically refers to a port that is used for handling and forwarding shipments into Philippines, 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 apparel products, enabling better decision-making for trade and market expansion for Philippines apparel imports from viet-nam under HS code 620530 via Port Manila-int'l-container-port.
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 apparel market.
