Live Corn Import data of Philippines imports from thailand under HS Code 39249090000 via Port Port-of-davao , our Philippines customs import data reports include date, value, quantity, product description, HS code, port, country, and Philippines corn importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Weight |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-11-13 00:00:00 |
39249090000
|
1090100011524/1090100051193/1090100011531/1090100051186 - SHELF - BRAND KING - CASERO MULTI PURPOSE SHELF WALL/BELL WALL MULTIPURPOSE SHELF/BELL CORNER MULTIPURPOSE SHELF CORNER - 288 PCS IN 54 CARTONS | THAILAND | Port of Davao | 439.2 | Kilogram | 3718.92 | Importer Name |
2024-11-13 00:00:00
1090100011524/1090100051193/1090100011531/1090100051186 - SHELF - BRAND KING - CASERO MULTI PURPOSE SHELF WALL/BELL WALL MULTIPURPOSE SHELF/BELL CORNER MULTIPURPOSE SHELF CORNER - 288 PCS IN 54 CARTONS
439.2
Kilogram
3718.92
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 39249090000 for Philippines corn imports from Thailand via Port Port-of-davao.
Port Port-of-davao typically refers to a port that is used for handling and forwarding shipments into Philippines, 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 corn products, enabling better decision-making for trade and market expansion for Philippines corn imports from thailand under HS code 39249090000 via Port Port-of-davao.
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 corn market.
