CS CARE

IMO 9517903 Refrigerated Cargo Ship Reefer Ship Singapore Trading

Professional maritime intelligence and vessel tracking data.

2009
Year Built
14,276
GT
13,300
DWT
163m
LOA
CS CARE
Singapore Trading
Refrigerated Cargo Ship
Reefer Ship
Built 2009
13,300 DWT
162.5m LOA

Vessel Specifications

Professional maritime intelligence for CS CARE, powered by official maritime registries.

Refrigerated Cargo Ship
Vessel Type
Size: Reefer Ship
Call Sign: 9V9352
162.5m
Length Overall (LOA)
13,300
Deadweight (DWT)
Gross Tonnage: 14,276
Net Tonnage: 6,724
2009
Year Built
Built in 2009
Singapore
Flag State
Status: Trading
9.7m
Maximum Draft
TEU Capacity: 436

Live Operations

Real-time vessel operations and current activity status.

Updated 15 hours, 16 minutes ago
7.5m
Current Draft (77%)
Max Draft: 9.7m
Ballast
21.7
Speed (knots)
Speed Over Ground
Max Speed
Underway
Navigation Status
Current Activity
Active

AIS Position & Tracking

Latest vessel position and movement tracking data.

Updated 15 hours, 16 minutes ago

Underway

Navigation Status

21.7

Speed (knots)

SOG
Position Data
54.6073°N, 11.1407°E
Last Position
NLVLI
Destination
Estimated Arrival
Movement Data
21.7 knots
Speed Over Ground
300°
Course Over Ground
302°
True Heading
Meta Information
Sep 30, 2025 10:59 UTC
Last Updated
566341000
MMSI

Vessel Particulars

Complete vessel specifications, dimensions, and technical details.

Specification
Details
Identity & Classification
IMO Number
9517903
Call Sign
9V9352
Vessel Type
Refrigerated Cargo Ship
Hull Type
N/A
Flag State
Singapore
Trading Status
Trading
Former Names
Star Care
Dimensions & Capacity
Length (LOA)
162.5m
Beam
0.0
Draft
N/A
Deadweight
13,300 DWT
Gross Tonnage
14,276 GT
Container Capacity
436 TEU
Engine & Performance
Engine Designer
MAN B&W
Engine Model
7S60MC-C
Construction
Country of Build
Japan
Yard Number
1050
Ownership & Management
Registered Owner
Group Beneficial Owner

AI Maritime Insights

AI-powered analysis and highlights for CS CARE.

AI Maritime Summary
Intelligent vessel analysis

CS CARE is a refrigerated cargo ship built in 2009, designed to transport temperature-sensitive goods efficiently. With a deadweight tonnage (DWT) of 13,300 tonnes and a gross tonnage (GT) of 14,276 tonnes, the vessel is suited for various trade routes requiring the transportation of perishable items. Its operational profile is enhanced by its specialized design, although specific engine and performance data are not available.

Operations Insight
Commercial & operational analysis

Current AIS data indicates an unknown operational status, and the draft utilization is not specified, making it difficult to ascertain whether the vessel is laden or in ballast. The destination and ETA suggest that CS CARE is en route to a port, likely for loading or unloading operations. The course indicates a steady direction, which may imply an ongoing voyage towards its destination.

Key Features
Notable vessel characteristics
Refrigerated cargo capability allows for the transport of perishable goods across various trade routes.
The vessel's size (LOA of 162.5 meters) facilitates access to a range of ports suited for refrigerated cargo operations.
Built by Shikoku Dockyard Co. Ltd., indicating a level of engineering quality and durability.
Market Insights
Commercial market analysis

CS CARE's positioning as a refrigerated cargo vessel provides brokers with opportunities in markets focused on perishable goods. Its operational status and efficiency will be key factors for brokers and charterers when negotiating contracts, particularly in regions with high demand for cold chain logistics. The absence of detailed ownership and operational data presents a potential risk in assessing reliability.

Technical Analysis
Engineering & specifications

The vessel's key specifications include a deadweight tonnage of 13,300 tonnes and length overall of 162.5 meters, which are important for determining cargo capacity and port accessibility. The fuel type is distillate fuel, which may influence operational costs and compliance with environmental regulations. The age of the vessel (built in 2009) could impact charter rates, necessitating an analysis of its condition and maintenance history for potential charterers.

AI analysis based on verified vessel data • Model: gpt-4o-mini Generated: Sep 25, 2025

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