Vietnam Customs Export Data of wood Exports to spain under HS Code 44209090 via Port Dong-nai-port-authority

Live Wood Export data of Vietnam exports to spain under HS Code 44209090 via Port Dong-nai-port-authority , our Vietnam customs export data reports include date, value, quantity, product description, HS code, port, country, and Vietnam wood exporters data

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Date

HS Code

Product Description

Destination Country

Custom Name

QTY.

Unit

Value($)

Exporter Name

April 3, 2024

44209090

O31-DECORATIVE PANEL MADE OF OAK WOOD, NATURAL WOOD COLOR, SIZE: 10 X 15 X 0.5CM (NO BRAND), 100% NEW#&VN

Spain Dong Nai Port Authority

350

PCE

350

Exporter Name

Shipment No. 1

Date

2024-04-03 00:00:00

HS CODE

Product Description

O31-DECORATIVE PANEL MADE OF OAK WOOD, NATURAL WOOD COLOR, SIZE: 10 X 15 X 0.5CM (NO BRAND), 100% NEW#&VN

Destination Country

Unloading Port

QTY

350

Unit

PCE

Value($)

350

Exporter Name

FAQs With Answers

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 44209090 for Vietnam wood imports from Thailand via Port Dong-nai-port-authority.

Port Dong-nai-port-authority typically refers to a port that is used for handling and forwarding shipments from Vietnam, 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 wood products, enabling better decision-making for trade and market expansion for Vietnam wood exports from spain under HS code 44209090 via Port Dong-nai-port-authority.

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 wood market.

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