Live Brazil Export Data by HS Code 44182000 for Brazil Exports via Baltimore . Our Brazil Export Bill of Lading Data and Brazil Export Data by HS Code or country include HS code, date, B/L number, product description, loading and unloading ports, Brazil importer/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
December 1, 2021 |
44182000 |
4 X 40 Containers Containing 3816 Packages Of Primed Door |
United States | Baltimore |
73763 |
kgm |
73763 |
Exporter Name |
|
December 1, 2021 |
44182000 |
1 X 40 Containers Containing 33 Packages Of Wood Moulding |
United States | Baltimore |
18950 |
kgm |
18950 |
Exporter Name |
|
December 27, 2021 |
44182000 |
1 X 40 Containers Containing 20 Packages Of Flat Jamb -finished Product |
United States | Baltimore |
20770 |
kgm |
20770 |
Exporter Name |
|
December 27, 2021 |
44182000 |
1 X 40 Containers Containing 33 Packages Of Woodmouldings |
United States | Baltimore |
19620 |
kgm |
19620 |
Exporter Name |
|
December 27, 2021 |
44182000 |
1 X 40 Containers Containing 33 Packages Of Woodmouldings |
United States | Baltimore |
18780 |
kgm |
18780 |
Exporter Name |
|
December 3, 2021 |
44182000 |
1 X 40 Containers Containing 30 Packages Of 8.890pieces Ofclear Kd Eucalyptus Grandismoulding |
United States | Baltimore |
24320 |
kgm |
24320 |
Exporter Name |
|
December 3, 2021 |
44182000 |
1 X 40 Containers Containing 18 Packages Of 9.809pieces Ofwood Mouldings |
United States | Baltimore |
21500 |
kgm |
21500 |
Exporter Name |
|
December 3, 2021 |
44182000 |
2 X 40 Containers Containing 34 Packages Of Wood Moulding Forcivil Construction Primer From Elliotis,taeda Pine |
United States | Baltimore |
42138 |
kgm |
42138 |
Exporter Name |
|
December 3, 2021 |
44182000 |
1 X 40 Containers Containing 28 Packages Of 10.080 Pieces Ofclearkd Eucalyptus Grandismoulding Fj |
United States | Baltimore |
22530 |
kgm |
22530 |
Exporter Name |
|
December 3, 2021 |
44182000 |
1 X 40 Containers Containing 15 Packages Of 5.189pieces Ofwood Mouldings |
United States | Baltimore |
18640 |
kgm |
18640 |
Exporter Name |
2021-12-01 00:00:00
4 X 40 Containers Containing 3816 Packages Of Primed Door
73763
kgm
73763
2021-12-01 00:00:00
1 X 40 Containers Containing 33 Packages Of Wood Moulding
18950
kgm
18950
2021-12-27 00:00:00
1 X 40 Containers Containing 20 Packages Of Flat Jamb -finished Product
20770
kgm
20770
2021-12-27 00:00:00
1 X 40 Containers Containing 33 Packages Of Woodmouldings
19620
kgm
19620
2021-12-27 00:00:00
1 X 40 Containers Containing 33 Packages Of Woodmouldings
18780
kgm
18780
2021-12-03 00:00:00
1 X 40 Containers Containing 30 Packages Of 8.890pieces Ofclear Kd Eucalyptus Grandismoulding
24320
kgm
24320
2021-12-03 00:00:00
1 X 40 Containers Containing 18 Packages Of 9.809pieces Ofwood Mouldings
21500
kgm
21500
2021-12-03 00:00:00
2 X 40 Containers Containing 34 Packages Of Wood Moulding Forcivil Construction Primer From Elliotis,taeda Pine
42138
kgm
42138
2021-12-03 00:00:00
1 X 40 Containers Containing 28 Packages Of 10.080 Pieces Ofclearkd Eucalyptus Grandismoulding Fj
22530
kgm
22530
2021-12-03 00:00:00
1 X 40 Containers Containing 15 Packages Of 5.189pieces Ofwood Mouldings
18640
kgm
18640
The data provides shipment details such as export date, quantity, product description, HS code, port information, country of origin, and details of Brazil-based exporters.
It enables companies to monitor trade activities through Port Baltimore, analyze market trends, identify active buyers or suppliers, and understand product flow under HS Code 44182000.
Yes. The database offers recent or frequently updated information, ensuring businesses have current insights into HS Code 44182000 exports arriving through this port.
Absolutely. The database includes detailed exporter information, allowing businesses to identify potential buyers or suppliers of HS Code 44182000 products entering Brazil through this port.
Manufacturers, traders, importers, exporters, market researchers, and supply chain planners can use this data to make informed decisions, optimize trade strategies, and better understand port-specific trade movements.
