Peru Customs Import Data of sewing-machine Imports from united-states under HS Code 82 via Port Tacna

Live Sewing-machine Import data of Peru imports from united-states under HS Code 82 via Port Tacna , our Peru customs import data reports include date, value, quantity, product description, HS code, port, country, and Peru sewing-machine importers data

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Unit

Value($)

Importer Name

2022-08-24 00:00:00
8211920000
BLADE,WAHL,01006-408, METAL,T/FOR HAIR CUTTING MACHINE COMMERCIAL USE;SIZE:1MM-3.5MM CLIPPER BLADE,IN SET IN BLSITER REF:TAPER STANDARD UNITED STATES TACNA 48 UNIT 54.222 Importer Name

Shipment No. 1

Date

2022-08-24 00:00:00

HS CODE

Product Description

BLADE,WAHL,01006-408, METAL,T/FOR HAIR CUTTING MACHINE COMMERCIAL USE;SIZE:1MM-3.5MM CLIPPER BLADE,IN SET IN BLSITER REF:TAPER STANDARD

Origin Country

Unloading Port

QTY

48

Unit

UNIT

Value($)

54.222

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 82 for Peru sewing-machine imports from Thailand via Port Tacna.

Port Tacna typically refers to a port that is used for handling and forwarding shipments into Peru, 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 sewing-machine products, enabling better decision-making for trade and market expansion for Peru sewing-machine imports from united-states under HS code 82 via Port Tacna.

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 sewing-machine market.

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