MARAL
General Cargo Ship, IMO 9510022
The vessel MARAL (IMO 9510022) is a General Cargo Ship built in 2008 (16 years old) and currently sailing under the flag of Unknown.
Vessel Particulars
IMO number | 9510022 |
Vessel Name | MARAL |
Ship Type | General Cargo Ship |
Flag | Iran |
Year of Build | 2008 |
Length Overall (m) | 49.00 |
Length BP (m) | |
Beam (m) | 10.00 |
Draught (m) | |
Depth (m) |
Gross Tonnage | 498 |
Net Tonnage | |
Deadweight (t) |
TEU | - |
Crude Oil (bbl) | - |
Gas (m3) | - |
Grain (m3) | - |
Bale (m3) | - |
Ballast Water (m3) | - |
Fresh Water (m3) | - |
Builder | |
Place of Build | |
Hull | |
Material | |
Engine Builder |
Engine Type | - |
Engine Power (kW) | |
Fuel Type | |
Service Speed (kn) | - |
Propeller | - |
Management
Registered Owner | |||||||
| |||||||
Manager | |||||||
|
ISM Manager | - | ||||||
|
P&I Club | - |
Classification Society | |
History
Year
Flag
Vessel Name
Registered Owner
Manager
Year
2016 Aug
Flag
Vessel Name
Registered Owner
Manager
Year
2008 Mar
Flag
Vessel Name
Registered Owner
Manager
Year
2008 Mar
Flag
Vessel Name
MARAL
Registered Owner
Manager
Similar vessels
Vessel | Built | GT | DWT | Size (m) |
---|---|---|---|---|
KOTOKU MARU General Cargo Ship |
2008 | 498 | 1650 | - |
XIAN XIN General Cargo Ship |
2008 | 498 | 1585 | 76 / 12 |
SYOYOMARU General Cargo Ship |
2008 | 498 | 1410 | 77 / 13 |
KAISEI MARU General Cargo Ship |
2008 | 498 | 1830 | 68 / 12 |
IKKAKU General Cargo Ship |
2008 | 498 | 1830 | 75 / 12 |
KYOEI MARU NO. 3 General Cargo Ship |
2008 | 498 | 1580 | - |
MIRAI General Cargo Ship |
2008 | 498 | 1770 | 76 / 12 |
WAKAYU MARU General Cargo Ship |
2008 | 498 | 1600 | 76 / 12 |
SURUGA MARU General Cargo Ship |
2008 | 498 | 1570 | 76 / 12 |
REITAKU General Cargo Ship |
2008 | 498 | 1830 | 73 / 12 |
Disclaimer
MARAL current position and history of port calls are received by AIS. Technical specifications, tonnages and management details are derived from VesselFinder database. The data is for informational purposes only and VesselFinder is not responsible for the accuracy and reliability of MARAL data.