Live US Import Data by HS Code 56090090 for US Imports from China . 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.
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Unit |
Weight |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-06-04 | 56090090 | 100% POLYESTER RIBBON BOW,100% POLYESTER RIBBON, 50%NYLON, 5 0%POLYURETHANE RIBBON, 100% NY LONRIBBON INVOICE NO. RRB/232 4/EXP/1050, INVOICE DATE. 28. 03.2024 PURCHASE ORDER NO''# W0648182,W0647851,W0638534 PU RCHASE ORDER DATE: 11.01.2024 SHIPPING BILL NO:4002267, DAT E:28.03.2024 HTS CODE:6117809 0,58063200,56090090,58089040 | CHINA | HOUSTON TEXAS | 185 | CTN | 726.6672 | Importer Name |
2024-06-04
100% POLYESTER RIBBON BOW,100% POLYESTER RIBBON, 50%NYLON, 5 0%POLYURETHANE RIBBON, 100% NY LONRIBBON INVOICE NO. RRB/232 4/EXP/1050, INVOICE DATE. 28. 03.2024 PURCHASE ORDER NO''# W0648182,W0647851,W0638534 PU RCHASE ORDER DATE: 11.01.2024 SHIPPING BILL NO:4002267, DAT E:28.03.2024 HTS CODE:6117809 0,58063200,56090090,58089040
185
CTN
726.6672
It includes import date, product specifications, quantity, origin port in China, 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 56090090 entering US from China.
HS Code 56090090 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 China and the destination ports in US, providing deeper insights into trade flow patterns for products under HS code 56090090.
Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.
