Live Noodles Import Data of US by HS Code 1902192000 for US Imports from Thailand via port Long-beach-california. Our US Import Bill of Lading Data and US Import Data by HS Code, country, or port 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 |
|---|---|---|---|---|---|---|---|---|
| 2024-06-02 | 1902192000 | ORIENTAL STYLE NOODLE HS C ODE 1902.19.2000 T OTAL N.W .17,229.300 KGS. TOTAL G.W .18,342.5 00 KGS. HBL NO:TH 24050073 SCAC CODE: SNJC A CTUAL SHIPPER : ERAWAN MAR KETING CO.,LTD. | THAILAND | LONG BEACH CALIFORNIA | 1265 | CTN | 18342 | Importer Name |
2024-06-02
ORIENTAL STYLE NOODLE HS C ODE 1902.19.2000 T OTAL N.W .17,229.300 KGS. TOTAL G.W .18,342.5 00 KGS. HBL NO:TH 24050073 SCAC CODE: SNJC A CTUAL SHIPPER : ERAWAN MAR KETING CO.,LTD.
1265
CTN
18342
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 1902192000 for US noodles imports from Thailand via Port Long-beach-california.
Port Long-beach-california typically refers to a port that is used for handling and forwarding shipments into US, 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 US noodles imports from thailand under HS code 1902192000 via Port Long-beach-california.
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.
