Live Parts Import Data of Brazil by HS Code 33 for Brazil Imports from United-states via port Navegantes-(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 |
|---|---|---|---|---|---|---|---|---|
| 2021-12-01 00:00:00 |
330000
|
1 Pallet Of Auto Parts | United States | Navegantes (br) | 138 | KGM | 138 | Importer Name |
| 2021-12-01 00:00:00 |
330000
|
4 Pallet Of Drilling Parts | United States | Navegantes (br) | 1030 | KGM | 1030 | Importer Name |
| 2021-12-27 00:00:00 |
330000
|
1 X 40 Containers Containing 1047 Cartons Of Blenders And Parts | United States | Navegantes (br) | 9157 | KGM | 9157 | Importer Name |
| 2021-12-23 00:00:00 |
330000
|
5 Of Spare Parts For Construction Machine Nonhazardous | United States | Navegantes (br) | 2286 | KGM | 2286 | Importer Name |
| 2021-12-23 00:00:00 |
330000
|
1 X 40 Containers Containing 20 Packages Of Medicalparts | United States | Navegantes (br) | 3083 | KGM | 3083 | Importer Name |
| 2021-12-23 00:00:00 |
330000
|
1 X 40 Containers Containing 12 Packages Of Audio Equipment,parts And Acessories | United States | Navegantes (br) | 4374 | KGM | 4374 | Importer Name |
| 2021-12-23 00:00:00 |
330000
|
1 X 40 Containers Containing 74 Packages Of New Auto Parts | United States | Navegantes (br) | 7378 | KGM | 7378 | Importer Name |
| 2021-12-23 00:00:00 |
330000
|
1 X 20 Containers Containing 1 Cartons Of Auto Parts | United States | Navegantes (br) | 5878 | KGM | 5878 | Importer Name |
| 2021-12-18 00:00:00 |
330000
|
1 X 40 Containers Containing 38 Pallet Of New Automotive Parts | United States | Navegantes (br) | 10272 | KGM | 10272 | Importer Name |
| 2021-12-12 00:00:00 |
330000
|
2 X 40 Containers Containing 64 Packages Of Parts And Accessories For Printers25 | United States | Navegantes (br) | 12117 | KGM | 12117 | Importer Name |
2021-12-01 00:00:00
1 Pallet Of Auto Parts
138
KGM
138
2021-12-01 00:00:00
4 Pallet Of Drilling Parts
1030
KGM
1030
2021-12-27 00:00:00
1 X 40 Containers Containing 1047 Cartons Of Blenders And Parts
9157
KGM
9157
2021-12-23 00:00:00
5 Of Spare Parts For Construction Machine Nonhazardous
2286
KGM
2286
2021-12-23 00:00:00
1 X 40 Containers Containing 20 Packages Of Medicalparts
3083
KGM
3083
2021-12-23 00:00:00
1 X 40 Containers Containing 12 Packages Of Audio Equipment,parts And Acessories
4374
KGM
4374
2021-12-23 00:00:00
1 X 40 Containers Containing 74 Packages Of New Auto Parts
7378
KGM
7378
2021-12-23 00:00:00
1 X 20 Containers Containing 1 Cartons Of Auto Parts
5878
KGM
5878
2021-12-18 00:00:00
1 X 40 Containers Containing 38 Pallet Of New Automotive Parts
10272
KGM
10272
2021-12-12 00:00:00
2 X 40 Containers Containing 64 Packages Of Parts And Accessories For Printers25
12117
KGM
12117
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 parts imports from Thailand via Port Navegantes-(br).
Port Navegantes-(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 parts products, enabling better decision-making for trade and market expansion for Brazil parts imports from united-states under HS code 33 via Port Navegantes-(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 parts market.
