Live Soybean Export Data of Brazil by HS Code 23 for Brazil Exports to Indonesia via port Cigading. 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 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
2621510 |
kgm |
2621510 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
1200000 |
kgm |
1200000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
100000 |
kgm |
100000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
2300000 |
kgm |
2300000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
2100000 |
kgm |
2100000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
1500000 |
kgm |
1500000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
950000 |
kgm |
950000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
700000 |
kgm |
700000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
1045000 |
kgm |
1045000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Cigading |
3000000 |
kgm |
3000000 |
Exporter Name |
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
2621510
kgm
2621510
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1200000
kgm
1200000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
100000
kgm
100000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
2300000
kgm
2300000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
2100000
kgm
2100000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1500000
kgm
1500000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
950000
kgm
950000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
700000
kgm
700000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1045000
kgm
1045000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
3000000
kgm
3000000
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 23 for Brazil soybean imports from Thailand via Port Cigading.
Port Cigading 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 soybean products, enabling better decision-making for trade and market expansion for Brazil soybean exports from indonesia under HS code 23 via Port Cigading.
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 soybean market.
