Live Cotton-waste Export data of Bangladesh exports to bangladesh under HS Code 52093100 via Port Cumilla-export-processing-zone- , our Bangladesh customs export data reports include date, value, quantity, product description, HS code, port, country, and Bangladesh cotton-waste exporters data
Date |
HS Code |
Product Description |
Destination Country |
Loading Port |
QTY. |
Value($) |
Exporter Name |
|---|---|---|---|---|---|---|---|
|
April 18, 2024 |
52093100
|
80% POLYESTER 20% COTTON FABRIC=49914 YDS |
Bangladesh | Cumilla Export Processing Zone |
4991 |
30352 |
Exporter Name |
|
April 6, 2024 |
52093100
|
65% POLYESTER 35% COTTON FABRIC=1700 YDS |
Bangladesh | Cumilla Export Processing Zone |
170 |
1210.19 |
Exporter Name |
2024-04-18 00:00:00
80% POLYESTER 20% COTTON FABRIC=49914 YDS
4991
30352
2024-04-06 00:00:00
65% POLYESTER 35% COTTON FABRIC=1700 YDS
170
1210.19
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 52093100 for Bangladesh cotton-waste imports from Thailand via Port Cumilla-export-processing-zone-.
Port Cumilla-export-processing-zone- typically refers to a port that is used for handling and forwarding shipments from Bangladesh, 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 cotton-waste products, enabling better decision-making for trade and market expansion for Bangladesh cotton-waste exports from bangladesh under HS code 52093100 via Port Cumilla-export-processing-zone-.
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 cotton-waste market.
