Live Noodles Import data of Russia imports from thailand under HS Code 19 via Port Ural--customs-post , our Russia customs import data reports include date, value, quantity, product description, HS code, port, country, and Russia noodles importers data
Date |
HS Code |
Product Description |
Origin Country |
Customs |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-09 00:00:00 |
1902301000
|
FOOD INDUSTRY PRODUCTS NOT INTENDED FOR CHILDREN AND ADOLESCENTS. DOES NOT CONTAIN GENOUSLY MODIFIED PRODUCTS - INSTANT NOODLES IN THE ASSORTMENT: INSTANT NOODLES MAMA 60 GR. (6 PCS. IN A PACK.) - 12 PACKS, NOODLES | THAILAND | URAL CUSTOMS POST | 15.09 | KG | 24.48 | Importer Name |
2024-04-09 00:00:00
FOOD INDUSTRY PRODUCTS NOT INTENDED FOR CHILDREN AND ADOLESCENTS. DOES NOT CONTAIN GENOUSLY MODIFIED PRODUCTS - INSTANT NOODLES IN THE ASSORTMENT: INSTANT NOODLES MAMA 60 GR. (6 PCS. IN A PACK.) - 12 PACKS, NOODLES
15.09
KG
24.48
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 19 for Russia noodles imports from Thailand via Port Ural--customs-post.
Port Ural--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 noodles products, enabling better decision-making for trade and market expansion for Russia noodles imports from thailand under HS code 19 via Port Ural--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 noodles market.
