Live Apparel Import Data of US by HS Code 610510 for US Imports from Peru via port New-york-new-york. 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 |
|---|---|---|---|---|---|---|---|---|
| 2024-06-07 | 6105100000 | MEN 52PCNT COTTON 45PCNT POLYESTER 3PCNT ELASTANE KNIT TSHIRT APPAREL GOODS | PERU | NEW YORK NEW YORK | 2 | PCS | 21 | Importer Name |
| 2024-06-07 | 6105100000 | MEN 52PCNT COTTON 45PCNT POLYESTER 3PCNT ELASTANE KNIT TSHIRT APPAREL GOODS | PERU | NEW YORK NEW YORK | 2 | PCS | 10 | Importer Name |
2024-06-07
MEN 52PCNT COTTON 45PCNT POLYESTER 3PCNT ELASTANE KNIT TSHIRT APPAREL GOODS
2
PCS
21
2024-06-07
MEN 52PCNT COTTON 45PCNT POLYESTER 3PCNT ELASTANE KNIT TSHIRT APPAREL GOODS
2
PCS
10
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 610510 for US apparel imports from Thailand via Port New-york-new-york.
Port New-york-new-york 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 apparel products, enabling better decision-making for trade and market expansion for US apparel imports from peru under HS code 610510 via Port New-york-new-york.
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.
