Live Soybean Export Data of Brazil by HS Code 23 for Brazil Exports to Indonesia via port Surabaya. 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 | Surabaya |
5700000 |
kgm |
5700000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
3150000 |
kgm |
3150000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
1050000 |
kgm |
1050000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
500000 |
kgm |
500000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
3150000 |
kgm |
3150000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
950000 |
kgm |
950000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
647321 |
kgm |
647321 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
1300000 |
kgm |
1300000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
1425000 |
kgm |
1425000 |
Exporter Name |
|
December 10, 2021 |
23040010 |
Brazilian Hipro Soybean Meal Raw Material For Animal Feed |
Indonesia | Surabaya |
1050000 |
kgm |
1050000 |
Exporter Name |
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
5700000
kgm
5700000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
3150000
kgm
3150000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1050000
kgm
1050000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
500000
kgm
500000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
3150000
kgm
3150000
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
647321
kgm
647321
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1300000
kgm
1300000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1425000
kgm
1425000
2021-12-10 00:00:00
Brazilian Hipro Soybean Meal Raw Material For Animal Feed
1050000
kgm
1050000
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 Surabaya.
Port Surabaya 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 Surabaya.
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.
