Live Brazil Export Data by HS Code 44 for Brazil Exports to Peru . 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 2, 2021 |
44111400 |
5 X 40 Containers Containing 60 Bundles Of Painel Hdf Trupan Color Branco Ice Semifosco,nu |
Peru | Callao |
128817 |
kgm |
128817 |
Exporter Name |
|
December 29, 2021 |
44110000 |
4 X 40 Containers Containing 47 Bundles Of Painel Mdf Trupan Light E2 |
Peru | Callao |
98590 |
kgm |
98590 |
Exporter Name |
|
December 29, 2021 |
44111000 |
7 X 40 Containers Containing 84 Bundles Of Painel Hdf Trupan Color Branco Ice Semifosco,nu |
Peru | Callao |
179763 |
kgm |
179763 |
Exporter Name |
|
December 29, 2021 |
44111000 |
1 X 40 Containers Containing 12 Bundles Of Painel Mdf Trupan Standard E2 |
Peru | Callao |
25792 |
kgm |
25792 |
Exporter Name |
|
December 29, 2021 |
44101900 |
4 X 40 Containers Containing 48 Bundles Of Painel Pbo Arauco Melamina Branco 80g |
Peru | Callao |
109814 |
kgm |
109814 |
Exporter Name |
|
December 29, 2021 |
44111000 |
1 X 40 Containers Containing 12 Bundles Of Painel Mdf Trupan Standard E2 |
Peru | Callao |
24788 |
kgm |
24788 |
Exporter Name |
|
December 29, 2021 |
44111200 |
1 X 40 Containers Containing 12 Bundles Of Painel Mdf Trupan Standard E2 |
Peru | Callao |
24681 |
kgm |
24681 |
Exporter Name |
|
December 29, 2021 |
44110000 |
2 X 40 Containers Containing 24 Bundles Of Painel Mdf Trupan Standard E2 |
Peru | Callao |
46520 |
kgm |
46520 |
Exporter Name |
|
December 29, 2021 |
44110000 |
5 X 40 Containers Containing 60 Bundles Of Painel Mdf Trupan Light E2 |
Peru | Callao |
125860 |
kgm |
125860 |
Exporter Name |
|
December 29, 2021 |
44071100 |
4 X 40 Containers Containing 70 Packages Of Brazilian Pine Wood, Pre Cut Timber |
Peru | Callao |
105585 |
kgm |
105585 |
Exporter Name |
2021-12-02 00:00:00
5 X 40 Containers Containing 60 Bundles Of Painel Hdf Trupan Color Branco Ice Semifosco,nu
128817
kgm
128817
2021-12-29 00:00:00
4 X 40 Containers Containing 47 Bundles Of Painel Mdf Trupan Light E2
98590
kgm
98590
2021-12-29 00:00:00
7 X 40 Containers Containing 84 Bundles Of Painel Hdf Trupan Color Branco Ice Semifosco,nu
179763
kgm
179763
2021-12-29 00:00:00
1 X 40 Containers Containing 12 Bundles Of Painel Mdf Trupan Standard E2
25792
kgm
25792
2021-12-29 00:00:00
4 X 40 Containers Containing 48 Bundles Of Painel Pbo Arauco Melamina Branco 80g
109814
kgm
109814
2021-12-29 00:00:00
1 X 40 Containers Containing 12 Bundles Of Painel Mdf Trupan Standard E2
24788
kgm
24788
2021-12-29 00:00:00
1 X 40 Containers Containing 12 Bundles Of Painel Mdf Trupan Standard E2
24681
kgm
24681
2021-12-29 00:00:00
2 X 40 Containers Containing 24 Bundles Of Painel Mdf Trupan Standard E2
46520
kgm
46520
2021-12-29 00:00:00
5 X 40 Containers Containing 60 Bundles Of Painel Mdf Trupan Light E2
125860
kgm
125860
2021-12-29 00:00:00
4 X 40 Containers Containing 70 Packages Of Brazilian Pine Wood, Pre Cut Timber
105585
kgm
105585
It includes export date, product specifications, quantity, origin port in peru, destination port in Brazil, detailed information about exporting companies, and more.
By studying this data, businesses can assess pricing trends, track trade volumes, identify major exporters, and understand the flow of goods under HS code 44 entering Brazil from peru.
HS Code 44 covers a wide range of products. Analyzing exports under this code helps businesses understand market demand, supply patterns, and the competitiveness of exported products in Brazil.
Yes. The data highlights both the origin ports in peru and the destination ports in Brazil, providing deeper insights into trade flow patterns for products under HS code 44.
Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.
