Live Pine-lumber Export Data of Brazil by HS Code 440000 for Brazil Exports to Panama via port Colón. 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 19, 2021 |
44000000 |
1 X 40 Containers Containing 42 Packages Of , 3,024 Pcs Ofeg Lumber -pines |
Panama | Colón |
16880 |
kgm |
16880 |
Exporter Name |
|
December 19, 2021 |
44000000 |
1 X 40 Containers Containing 44 Packages Of Eg Lumber -pines |
Panama | Colón |
19092 |
kgm |
19092 |
Exporter Name |
2021-12-19 00:00:00
1 X 40 Containers Containing 42 Packages Of , 3,024 Pcs Ofeg Lumber -pines
16880
kgm
16880
2021-12-19 00:00:00
1 X 40 Containers Containing 44 Packages Of Eg Lumber -pines
19092
kgm
19092
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 440000 for Brazil pine-lumber imports from Thailand via Port Colón.
Port Colón 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 panama under HS code 440000 via Port Colón.
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.
