US Import Data By HS Code 17049065, US Imports from Portugal

Live US Import Data by HS Code 17049065 for US Imports from Portugal . Our US Import Bill of Lading Data and US Import Data by HS Code or country include HS code, date, B/L number, product description, loading and unloading ports, US importer/exporter name, quantity, etc.

US Import Statistics for HS Code 17049065 from Portugal

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Unit

Weight

Importer Name

2024-06-06 17049065 SUGAR CONFECTIONERY (INCLUDING WHITE CHOCOLAT E), NOT CONTAINING COCOA - OTHER - - - OTHER - - - - GUM CONFECTIONERY AND JELLY CONFECTIO NERY, INCLUDING FRUIT PASTES IN THE FORM OF S UGAR CONFECTIONERY HS CODE 17049065 PORTUGAL LOS ANGELES CALIFORNIA 1304 BOX 7881 Importer Name

Shipment No. 1

Date

2024-06-06

HS CODE

Product Description

SUGAR CONFECTIONERY (INCLUDING WHITE CHOCOLAT E), NOT CONTAINING COCOA - OTHER - - - OTHER - - - - GUM CONFECTIONERY AND JELLY CONFECTIO NERY, INCLUDING FRUIT PASTES IN THE FORM OF S UGAR CONFECTIONERY HS CODE 17049065

Origin Country

Unloading Port

QTY

1304

Unit

BOX

Weight

7881

Importer Name

FAQs With Answers

It includes import date, product specifications, quantity, origin port in Portugal, destination port in US, 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 17049065 entering US from Portugal.

HS Code 17049065 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 US.

Yes. The data highlights both the origin ports in Portugal and the destination ports in US, providing deeper insights into trade flow patterns for products under HS code 17049065.

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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