Live Knit Export data of Pakistan exports to russian-fedration under HS Code 61052000 via Port Karachi-sea-port , our Pakistan customs export data reports include date, value, quantity, product description, HS code, port, country, and Pakistan knit exporters data
Date |
HS Code |
Product Description |
Destination Country |
Loading Port |
QTY. |
Unit |
Value($) |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 7, 2024 |
61052000
|
60% POLYSTER- 40% COTTON MEN'S KNITTED TROUSERS ALL DYED |
Russian Fedration | KARACHI SEA PORT |
5872 |
u |
22284.39 |
Exporter Name |
|
April 7, 2024 |
61052000
|
60% POLYSTER- 40% COTTON MEN'S KNITTED SWEAT SHIRT- ALL DYED |
Russian Fedration | KARACHI SEA PORT |
12480 |
u |
30909.89 |
Exporter Name |
2024-04-07 06:09:32
60% POLYSTER- 40% COTTON MEN'S KNITTED TROUSERS ALL DYED
5872
u
22284.39
2024-04-07 06:09:32
60% POLYSTER- 40% COTTON MEN'S KNITTED SWEAT SHIRT- ALL DYED
12480
u
30909.89
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 61052000 for Pakistan knit imports from Thailand via Port Karachi-sea-port.
Port Karachi-sea-port typically refers to a port that is used for handling and forwarding shipments from Pakistan, 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 knit products, enabling better decision-making for trade and market expansion for Pakistan knit exports from russian-fedration under HS code 61052000 via Port Karachi-sea-port.
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 knit market.
