Live Green Import Data of US by HS Code 080390,0803900000 for US Imports from Panama via port Chester-pennsylvania. Our US Import Bill of Lading Data and US Import Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, US Importer/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Unit |
Weight |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-06-03 | 080390 | BOXES OF BANANAS 17,50 NET KGS & 18,80 GROSS KGS TOTAL 4800 BOXES CONTAINING FRESH GREEN BANANAS 17,50 NET KGS & 18,80 GROSS HS CODE 080390 DAE 02820244001103499 | PANAMA | CHESTER PENNSYLVANIA | 4800 | BOX | 90240.9984 | Importer Name |
2024-06-03
BOXES OF BANANAS 17,50 NET KGS & 18,80 GROSS KGS TOTAL 4800 BOXES CONTAINING FRESH GREEN BANANAS 17,50 NET KGS & 18,80 GROSS HS CODE 080390 DAE 02820244001103499
4800
BOX
90240.9984
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 080390,0803900000 for US green imports from Thailand via Port Chester-pennsylvania.
Port Chester-pennsylvania typically refers to a port that is used for handling and forwarding shipments into US, 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 green products, enabling better decision-making for trade and market expansion for US green imports from panama under HS code 080390,0803900000 via Port Chester-pennsylvania.
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 green market.
