Live Fiber Export Data of US by HS Code 570242 for US Exports to Peru via port Mx-manzanillo. Our US Export Bill of Lading Data and US Export Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, US Exporter/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 26, 2024 |
570242 |
SHIPPER S LOAD AND COUNT1X20STCONTAINER(S)CARPETS AND OTHER TEXTILE FLOORCOVERINGS, NOT TUFTED OR FLOCKED,OF MAN-MADE FIBERS, NOT MADE ONPOWER DRIVEN LOOM; WOVENHTS: 570242NLR CHR HBL SCAC = CHSL |
PERU | MX MANZANILLO |
188 |
PACKAGE |
3861.2 |
Exporter Name |
2024-04-26 00:00:00
SHIPPER S LOAD AND COUNT1X20STCONTAINER(S)CARPETS AND OTHER TEXTILE FLOORCOVERINGS, NOT TUFTED OR FLOCKED,OF MAN-MADE FIBERS, NOT MADE ONPOWER DRIVEN LOOM; WOVENHTS: 570242NLR CHR HBL SCAC = CHSL
188
PACKAGE
3861.2
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 570242 for US fiber imports from Thailand via Port Mx-manzanillo.
Port Mx-manzanillo typically refers to a port that is used for handling and forwarding shipments from 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 fiber products, enabling better decision-making for trade and market expansion for US fiber exports from peru under HS code 570242 via Port Mx-manzanillo.
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 fiber market.
