Import Database of Philippines Imports Under HS Code 842290 from Lithuania

Philippines’s customs import data under HS Code 842290 provides detailed insights into the imports of products of HS Code 842290 from Lithuania. This data highlights key information such as the Shipment date, trade value, product specifications, quantity, origin port in Philippines, destination port in Lithuania and the names of Vietnamese importing companies. By analyzing this data, businesses can track trade volumes, assess pricing trends, identify top companies, and monitor the flow of products imported under the HS code 842290, from Philippines to Lithuania

Monthly and Annual Philippines Import Trends of HS 842290

Date

HS Code

Product Description

Origin Country

Custom Name

QTY.

Unit

Weight

Importer Name

2024-11-07 00:00:00
84229090000
1 PC BSA0657162200 GUIDE LITHUANIA Port of Clark 0.19 Kilogram 82.83 Importer Name

Shipment No. 1

Date

2024-11-07 00:00:00

HS CODE

Product Description

1 PC BSA0657162200 GUIDE

Origin Country

Unloading Port

QTY

0.19

Unit

Kilogram

Value($)

82.83

Importer Name

FAQs With Answers

It includes import date, trade value, product specifications, quantity, origin port in Lithuania, destination port in Philippines, detailed information about importing companies, and more.

By studying this data, businesses can assess pricing trends, track trade volumes, identify major importers, and understand the flow of goods under HS code 842290 entering Philippines from Lithuania.

HS Code 842290 covers a wide range of products. Analyzing imports under this code helps businesses understand market demand, supply patterns, and the competitiveness of imported products in Philippines.

Yes. The data highlights both the origin ports in Lithuania and the destination ports in Philippines, providing deeper insights into trade flow patterns for products under HS code 842290.

Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.

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