Live Electric-parts Import Data of Brazil by HS Code 33 for Brazil Imports from Jamaica via port Santos-(br). Our Brazil Import Bill of Lading Data and Brazil Import Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, Brazil Importer/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2021-12-18 00:00:00 |
330000
|
1 X 40 Containers Containing 34 Case Of Automobile Service Parts | Jamaica | Santos (br) | 8323 | KGM | 8323 | Importer Name |
| 2021-12-18 00:00:00 |
330000
|
1 X 40 Containers Containing 30 Pieces Of Business Machines And Parts | Jamaica | Santos (br) | 4326 | KGM | 4326 | Importer Name |
| 2021-12-18 00:00:00 |
330000
|
1 X 40 Containers Containing 19 Case Of Automobile Service Parts | Jamaica | Santos (br) | 1651 | KGM | 1651 | Importer Name |
| 2021-12-09 00:00:00 |
330000
|
1 X 40 Containers Containing 53 Pieces Of Business Machines And Parts | Jamaica | Santos (br) | 9352 | KGM | 9352 | Importer Name |
| 2021-12-02 00:00:00 |
330000
|
1 X 40 Containers Containing 9 Packages Of Automotive Parts | Jamaica | Santos (br) | 968 | KGM | 968 | Importer Name |
| 2021-12-02 00:00:00 |
330000
|
1 X 40 Containers Containing 16 Packages Of Automotive Parts | Jamaica | Santos (br) | 1083 | KGM | 1083 | Importer Name |
| 2021-12-02 00:00:00 |
330000
|
1 X 40 Containers Containing 12 Packages Of Automotive Parts | Jamaica | Santos (br) | 771 | KGM | 771 | Importer Name |
| 2021-12-02 00:00:00 |
330000
|
1 X 40 Containers Containing 26 Packages Of Automotive Parts | Jamaica | Santos (br) | 6334 | KGM | 6334 | Importer Name |
| 2021-12-02 00:00:00 |
330000
|
1 X 40 Containers Containing 5 Packages Of Automotive Parts | Jamaica | Santos (br) | 498 | KGM | 498 | Importer Name |
| 2021-12-02 00:00:00 |
330000
|
1 X 40 Containers Containing 5 Packages Of Automotive Parts | Jamaica | Santos (br) | 469 | KGM | 469 | Importer Name |
2021-12-18 00:00:00
1 X 40 Containers Containing 34 Case Of Automobile Service Parts
8323
KGM
8323
2021-12-18 00:00:00
1 X 40 Containers Containing 30 Pieces Of Business Machines And Parts
4326
KGM
4326
2021-12-18 00:00:00
1 X 40 Containers Containing 19 Case Of Automobile Service Parts
1651
KGM
1651
2021-12-09 00:00:00
1 X 40 Containers Containing 53 Pieces Of Business Machines And Parts
9352
KGM
9352
2021-12-02 00:00:00
1 X 40 Containers Containing 9 Packages Of Automotive Parts
968
KGM
968
2021-12-02 00:00:00
1 X 40 Containers Containing 16 Packages Of Automotive Parts
1083
KGM
1083
2021-12-02 00:00:00
1 X 40 Containers Containing 12 Packages Of Automotive Parts
771
KGM
771
2021-12-02 00:00:00
1 X 40 Containers Containing 26 Packages Of Automotive Parts
6334
KGM
6334
2021-12-02 00:00:00
1 X 40 Containers Containing 5 Packages Of Automotive Parts
498
KGM
498
2021-12-02 00:00:00
1 X 40 Containers Containing 5 Packages Of Automotive Parts
469
KGM
469
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 33 for Brazil electric-parts imports from Thailand via Port Santos-(br).
Port Santos-(br) typically refers to a port that is used for handling and forwarding shipments into 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 electric-parts products, enabling better decision-making for trade and market expansion for Brazil electric-parts imports from jamaica under HS code 33 via Port Santos-(br).
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 electric-parts market.
