Live Furniture Import Data of US by HS Code 48191090 for US Imports from India via port Norfolk-virginia. 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 |
|---|---|---|---|---|---|---|---|---|
| 2024-06-05 | 48191090 | WOODEN AND IRON FURNITURE ITEMS WOODEN AND IRON FURNITURE ITEMS SB NO. 9242112 DT. 19.04.2024 HS CODE 94017900 94032090 94016900 48191090 94039900 83021090 HBL NO. WWLDEL240966 SCAC CODE WWOL FREIGHT COLLECT | INDIA | NORFOLK VIRGINIA | 418 | PCS | 8955 | Importer Name |
2024-06-05
WOODEN AND IRON FURNITURE ITEMS WOODEN AND IRON FURNITURE ITEMS SB NO. 9242112 DT. 19.04.2024 HS CODE 94017900 94032090 94016900 48191090 94039900 83021090 HBL NO. WWLDEL240966 SCAC CODE WWOL FREIGHT COLLECT
418
PCS
8955
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 48191090 for US furniture imports from Thailand via Port Norfolk-virginia.
Port Norfolk-virginia 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 furniture products, enabling better decision-making for trade and market expansion for US furniture imports from india under HS code 48191090 via Port Norfolk-virginia.
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 furniture market.
