Live Spandex-yarn Import data of Bangladesh imports from pakistan under HS Code 520522 via Port Custom-house,-chattogram , our Bangladesh customs import data reports include date, value, quantity, product description, HS code, port, country, and Bangladesh spandex-yarn importers data
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|
| 2024-04-09 00:00:00 |
52052200
|
YARN FOR 100 PERCENT EXPORT ORIENTED TOWEL INDUSTRY. | Pakistan | Custom House, Chattogram | 3775.2 | 16628.98 | Importer Name |
| 2024-04-09 00:00:00 |
52052200
|
YARN FOR 100 PERCENT EXPORT ORIENTED TOWEL INDUSTRY. | Pakistan | Custom House, Chattogram | 4801.96 | 26550 | Importer Name |
2024-04-09 00:00:00
YARN FOR 100 PERCENT EXPORT ORIENTED TOWEL INDUSTRY.
3775.2
16628.98
2024-04-09 00:00:00
YARN FOR 100 PERCENT EXPORT ORIENTED TOWEL INDUSTRY.
4801.96
26550
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 520522 for Bangladesh spandex-yarn imports from Thailand via Port Custom-house,-chattogram.
Port Custom-house,-chattogram typically refers to a port that is used for handling and forwarding shipments into 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 spandex-yarn products, enabling better decision-making for trade and market expansion for Bangladesh spandex-yarn imports from pakistan under HS code 520522 via Port Custom-house,-chattogram.
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 spandex-yarn market.
