CAPE STARR

IMO 9578969 Ro-Ro Cargo Ship RoRo Cargo United States Of America Trading

Professional maritime intelligence and vessel tracking data.

2012
Year Built
50,110
GT
45,200
DWT
239m
LOA
CAPE STARR
United States Of America Trading
Ro-Ro Cargo Ship
RoRo Cargo
Built 2012
45,200 DWT
239.0m LOA

Vessel Specifications

Professional maritime intelligence for CAPE STARR, powered by official maritime registries.

Ro-Ro Cargo Ship
Vessel Type
Size: RoRo Cargo
239.0m
Length Overall (LOA)
45,200
Deadweight (DWT)
Gross Tonnage: 50,110
Net Tonnage: 16,719
2012
Year Built
Built in 2012
United States Of America
Flag State
Status: Trading
10.5m
Maximum Draft
TEU Capacity: 3,001

Live Operations

Real-time vessel operations and current activity status.

Updated 4 hours, 15 minutes ago
9.1m
Current Draft (87%)
Max Draft: 10.5m
Ballast
15.7
Speed (knots)
Speed Over Ground
Max Speed
Underway
Navigation Status
Current Activity
Active

AIS Position & Tracking

Latest vessel position and movement tracking data.

Updated 4 hours, 15 minutes ago

Underway

Navigation Status

15.7

Speed (knots)

SOG
Position Data
9.3005°N, -89.8102°W
Last Position
PACIFIC OCEAN
Destination
Estimated Arrival
Movement Data
15.7 knots
Speed Over Ground
289°
Course Over Ground
286°
True Heading
Meta Information
Sep 30, 2025 04:01 UTC
Last Updated
303829046
MMSI

Vessel Particulars

Complete vessel specifications, dimensions, and technical details.

Specification
Details
Identity & Classification
IMO Number
9578969
Call Sign
N/A
Vessel Type
Ro-Ro Cargo Ship
Hull Type
Double Bottom Entire Compartment Length
Flag State
United States Of America
Trading Status
Trading
Former Names
Jolly Perla
Dimensions & Capacity
Length (LOA)
239.0m
Beam
0.0
Draft
N/A
Deadweight
45,200 DWT
Gross Tonnage
50,110 GT
Container Capacity
3,001 TEU
Engine & Performance
Engine Designer
MAN B&W
Engine Model
7L70ME-C8
Construction
Country of Build
Korea, South
Yard Number
4466
Ownership & Management
Group Beneficial Owner

AI Maritime Insights

AI-powered analysis and highlights for CAPE STARR.

AI Maritime Summary
Intelligent vessel analysis

The CAPE STARR is a Ro-Ro cargo ship with a deadweight tonnage of 45,200 tonnes and a length overall of 239 meters, built in 2012. Designed with a double bottom hull for enhanced safety and stability, the vessel is currently trading under the flag of the United States. Its operational profile is suitable for carrying rolling cargo, making it a valuable asset in intra-regional trade and logistics.

Operations Insight
Commercial & operational analysis

Current AIS data indicates the CAPE STARR is traveling at a speed of 17.1 knots towards its destination of NONO, suggesting it is likely in a laden condition, possibly delivering cargo. The operational speed indicates a potential for efficient transit times, impacting overall service reliability.

Key Features
Notable vessel characteristics
Robust design suitable for rolling cargo, enhancing cargo flexibility and operational versatility.
Constructed at Daewoo Shipbuilding & Marine Engineering, offering quality engineering and reliability.
Significant deadweight capacity allows for efficient trade routes, particularly in regions requiring Ro-Ro capabilities.
Market Insights
Commercial market analysis

The CAPE STARR's capabilities position it favorably within the Ro-Ro market, especially for trade routes that prioritize the transport of vehicles and heavy equipment. Its modern construction year ensures compliance with current regulations, enhancing its appeal to charterers seeking reliable and efficient vessels. Brokers should note the potential for competitive charter rates given the vessel's age and operational profile.

Technical Analysis
Engineering & specifications

The vessel's gross tonnage of 50,110 and a net tonnage of 16,719 suggest ample capacity for various cargo types, while the double bottom hull design enhances safety and stability. The choice of distillate fuel aligns with current environmental standards, potentially reducing operational costs. The absence of detailed specifications on engine performance may require further investigation to fully assess fuel efficiency and operational capabilities.

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

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