US Import Data By HS Code 39206219, US Imports from Brazil

Live US Import Data by HS Code 39206219 for US Imports from Brazil . 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 39206219 from Brazil

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Unit

Weight

Importer Name

2024-06-04 39206219 04 CONTAINER - 40 DC CONTAININ G 314 ROLLS ON 138 PALLETS OF POLYESTER FILM FATURA: 240 331 NCM: 39206299, 39206219, 39219019 FREIGHT PREPAID N. W: 67.957,000 KGS WOODEN PAC KAGE: TREATED AND CERTIFIED BRAZIL NEW YORK NEWARK AREA NEWARK NEW JERSEY 314 ROL 74787.7536 Importer Name

Shipment No. 1

Date

2024-06-04

HS CODE

Product Description

04 CONTAINER - 40 DC CONTAININ G 314 ROLLS ON 138 PALLETS OF POLYESTER FILM FATURA: 240 331 NCM: 39206299, 39206219, 39219019 FREIGHT PREPAID N. W: 67.957,000 KGS WOODEN PAC KAGE: TREATED AND CERTIFIED

Origin Country

Unloading Port

QTY

314

Unit

ROL

Weight

74787.7536

Importer Name

FAQs With Answers

It includes import date, product specifications, quantity, origin port in Brazil, 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 39206219 entering US from Brazil.

HS Code 39206219 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 Brazil and the destination ports in US, providing deeper insights into trade flow patterns for products under HS code 39206219.

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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