Live Cushion-cover Import data of Russia imports from china under HS Code 420292 via Port Sibirsky--customs-post , our Russia customs import data reports include date, value, quantity, product description, HS code, port, country, and Russia cushion-cover importers data
Date |
HS Code |
Product Description |
Origin Country |
Customs |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-28 00:00:00 |
4202929800
|
TEXTILE COVER FOR SOUND REPRODUCING EQUIPMENT, MADE WITH A FRONT SURFACE OF TEXTILE SYNTHETIC MATERIALS (75% NYLON, 25% POLYESTER). INTENDED TO PROTECT FROM SCRATCHES AND OTHER ENVIRONMENTAL IMPACTS. | CHINA | SIBIRSKY CUSTOMS POST | 11.8 | pcs | 70.8 | Importer Name |
2024-04-28 00:00:00
TEXTILE COVER FOR SOUND REPRODUCING EQUIPMENT, MADE WITH A FRONT SURFACE OF TEXTILE SYNTHETIC MATERIALS (75% NYLON, 25% POLYESTER). INTENDED TO PROTECT FROM SCRATCHES AND OTHER ENVIRONMENTAL IMPACTS.
11.8
pcs
70.8
The database includes shipment-level information such as shipment date, HS code, product description, quantity, value, port details, country of origin & destination, & importer-exporter information for accurate trade analysis of products under HS code 420292 for Russia cushion-cover imports from Thailand via Port Sibirsky--customs-post.
Port Sibirsky--customs-post typically refers to a port that is used for handling and forwarding shipments into Russia, making it important for tracking inland and cross-border trade flows.
It helps businesses understand sourcing patterns, evaluate supplier performance, track pricing trends, and identify demand for cushion-cover products, enabling better decision-making for trade and market expansion for Russia cushion-cover imports from china under HS code 420292 via Port Sibirsky--customs-post.
Businesses can identify key importers, evaluate supplier competitiveness, track pricing trends, and analyze demand for specific rubber products to make strategic sourcing and expansion decisions.
Importers, exporters, traders, manufacturers, and market analysts can use this data to understand trade patterns, optimize supply chains, identify potential partners, and gain a competitive advantage in the cushion-cover market.
