Indonesia Customs Import Data of tea Imports from china under HS Code 392490 via Port Batu-ampar

Live Tea Import data of Indonesia imports from china under HS Code 392490 via Port Batu-ampar , our Indonesia customs import data reports include date, value, quantity, product description, HS code, port, country, and Indonesia tea importers data

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Value($)

Importer Name

2024-04-03 00:00:00
39249090
TEA BOARD China Batu Ampar 504.16 539 Importer Name
2024-04-15 00:00:00
39249090
HOUSEHOLD AND KITCHEN WARES: STEAMER POT China Batu Ampar 2902.5 8100 Importer Name

Shipment No. 1

Date

2024-04-03 00:00:00

HS CODE

Product Description

TEA BOARD

Origin Country

Unloading Port

QTY

504.16

Weight

539

Importer Name

Shipment No. 2

Date

2024-04-15 00:00:00

HS CODE

Product Description

HOUSEHOLD AND KITCHEN WARES: STEAMER POT

Origin Country

Unloading Port

QTY

2902.5

Weight

8100

Importer 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 392490 for Indonesia tea imports from Thailand via Port Batu-ampar.

Port Batu-ampar typically refers to a port that is used for handling and forwarding shipments into Indonesia, 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 tea products, enabling better decision-making for trade and market expansion for Indonesia tea imports from china under HS code 392490 via Port Batu-ampar.

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 tea market.

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