US Import Data By HS Code 110412, US Imports from Jamaica

Live US Import Data by HS Code 110412 for US Imports from Jamaica . 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.

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US Import Statistics for HS Code 110412 from Jamaica

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Unit

Weight

Importer Name

2024-06-04 110412 1X40' HC 600 BAGS OF 22.68 KG. NET EACH 600 SACOS DE HOJUELA INSTANTANEA DE AVENA SATIVA (INSTANT OAT FLAKE) 13.608,00 N. WEIGHT 13.63 8,00 G. WEIGHT FREIGHT PREPAID HS CODE 1104.1 2 REFERENCE TYPE (ABT) - 110412 JAMAICA SAN JUAN PUERTO RICO 600 SAK 17648.2152 Importer Name

Shipment No. 1

Date

2024-06-04

HS CODE

Product Description

1X40' HC 600 BAGS OF 22.68 KG. NET EACH 600 SACOS DE HOJUELA INSTANTANEA DE AVENA SATIVA (INSTANT OAT FLAKE) 13.608,00 N. WEIGHT 13.63 8,00 G. WEIGHT FREIGHT PREPAID HS CODE 1104.1 2 REFERENCE TYPE (ABT) - 110412

Origin Country

Unloading Port

QTY

600

Unit

SAK

Weight

17648.2152

Importer Name

FAQs With Answers

It includes import date, product specifications, quantity, origin port in Jamaica, 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 110412 entering US from Jamaica.

HS Code 110412 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 Jamaica and the destination ports in US, providing deeper insights into trade flow patterns for products under HS code 110412.

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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