Live Coffee Import Data of US by HS Code 700992 for US Imports from China via port Miami-florida. 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 |
|---|---|---|---|---|---|---|---|---|
| 2024-06-06 | 700992 | FURNITURE HEADBOARD/WALL PANEL/NIGHTSTAND HS CODE: 940350 COFFEE TABLE/COAT HOOK PANEL/WAL L PANEL/TV PANEL/APRON FRAME HS CODE: 940360 MIRROR HS CODE: 700992 "THIS SHIPMENT CONTAIN S NO WOOD PACKAGING MATERIAL." | CHINA | MIAMI FLORIDA | 713 | CTN | 32256.4032 | Importer Name |
2024-06-06
FURNITURE HEADBOARD/WALL PANEL/NIGHTSTAND HS CODE: 940350 COFFEE TABLE/COAT HOOK PANEL/WAL L PANEL/TV PANEL/APRON FRAME HS CODE: 940360 MIRROR HS CODE: 700992 "THIS SHIPMENT CONTAIN S NO WOOD PACKAGING MATERIAL."
713
CTN
32256.4032
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 700992 for US coffee imports from Thailand via Port Miami-florida.
Port Miami-florida 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 coffee products, enabling better decision-making for trade and market expansion for US coffee imports from china under HS code 700992 via Port Miami-florida.
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 coffee market.
