Live Food Export Data of US by HS Code 980000 for US Exports to Cuba via port Mariel. Our US Export Bill of Lading Data and US Export Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, US Exporter/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 19, 2024 |
980000 |
1084 PIECESDONATED FOOD PRODUCT;HS CODE : 980000NO LICENSE REQUIRED PER CUBAN ASSETS CONTROLREGULATIONS 15 CFR 740.12. SHIPPER WARRANTS THATALL SHIPMENT PARTICULARS COMPLY WITH THEREQUIREMENTS UNDER 15 CFR 740.12.FREIGHT PREPAID |
CUBA | MARIEL |
1084 |
PIECES |
11383 |
Exporter Name |
2024-04-19 00:00:00
1084 PIECESDONATED FOOD PRODUCT;HS CODE : 980000NO LICENSE REQUIRED PER CUBAN ASSETS CONTROLREGULATIONS 15 CFR 740.12. SHIPPER WARRANTS THATALL SHIPMENT PARTICULARS COMPLY WITH THEREQUIREMENTS UNDER 15 CFR 740.12.FREIGHT PREPAID
1084
PIECES
11383
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 980000 for US food imports from Thailand via Port Mariel.
Port Mariel typically refers to a port that is used for handling and forwarding shipments from 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 food products, enabling better decision-making for trade and market expansion for US food exports from cuba under HS code 980000 via Port Mariel.
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 food market.
