Live Insulin Import data of Argentina imports from china under HS Code 30 via Port Ezeiza , our Argentina customs import data reports include date, value, quantity, product description, HS code, port, country, and Argentina insulin importers data
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-03 00:00:00 |
30043100000
|
CONTAINING INSULIN. CONTAINING INSULIN. MEDICINES (EXCEPT FOR PRODUCTS) | China | Ezeiza | 22571 | Units | 429966.28 | Importer Name |
| 2024-04-03 00:00:00 |
30043100000
|
CONTAINING INSULIN. CONTAINING INSULIN. MEDICINES (EXCEPT FOR PRODUCTS) | China | Ezeiza | 71280 | Units | 1356189.17 | Importer Name |
2024-04-03 00:00:00
CONTAINING INSULIN. CONTAINING INSULIN. MEDICINES (EXCEPT FOR PRODUCTS)
22571
Units
429966.28
2024-04-03 00:00:00
CONTAINING INSULIN. CONTAINING INSULIN. MEDICINES (EXCEPT FOR PRODUCTS)
71280
Units
1356189.17
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 30 for Argentina insulin imports from Thailand via Port Ezeiza.
Port Ezeiza typically refers to a port that is used for handling and forwarding shipments into Argentina, 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 insulin products, enabling better decision-making for trade and market expansion for Argentina insulin imports from china under HS code 30 via Port Ezeiza.
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 insulin market.
