Live Pine-lumber Export Data of Brazil by HS Code 44182000 for Brazil Exports to Mexico via port Altamira. Our Brazil Export Bill of Lading Data and Brazil Export Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, Brazil Exporter/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
December 21, 2021 |
44182000 |
1 X 40 Containers Containing 24 Packages Of Clear Pine Fj Jamb, |
Mexico | Altamira |
26500 |
kgm |
26500 |
Exporter Name |
|
December 9, 2021 |
44182000 |
1 X 40 Containers Containing 1058 Case Of Knotty Pine Doors |
Mexico | Altamira |
19366 |
kgm |
19366 |
Exporter Name |
2021-12-21 00:00:00
1 X 40 Containers Containing 24 Packages Of Clear Pine Fj Jamb,
26500
kgm
26500
2021-12-09 00:00:00
1 X 40 Containers Containing 1058 Case Of Knotty Pine Doors
19366
kgm
19366
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 44182000 for Brazil pine-lumber imports from Thailand via Port Altamira.
Port Altamira typically refers to a port that is used for handling and forwarding shipments from Brazil, 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 pine-lumber products, enabling better decision-making for trade and market expansion for Brazil pine-lumber exports from mexico under HS code 44182000 via Port Altamira.
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 pine-lumber market.
