KANG FU
General Cargo Ship, IMO 9998092
The current position of KANG FU is at China Coast reported 14 hours ago by AIS. The vessel is en route to the port of Tianjin Xingang, China, sailing at a speed of 7.2 knots and expected to arrive there on Jan 26, 00:00. The vessel KANG FU (IMO 9998092, MMSI 636023638) is a General Cargo Ship built in 2025 (1 year old) and currently sailing under the flag of Liberia.
Voyage Data
| Predicted ETA | |
| Distance / Time | |
| Course / Speed | |
| Current draught | 13.5 m |
| Navigation Status | - |
| Position received |
14 hours ago
|
| IMO / MMSI | 9998092 / 636023638 |
| Callsign | 5LOR8 |
| AIS Type | Cargo ship |
| AIS Flag | Liberia |
| Length / Beam | 199 / 32 m |
Ship position & weather
Recent Port Calls
Vessel Utilization
Vessel Particulars
| IMO number | 9998092 |
| Vessel Name | KANG FU |
| Ship Type | General Cargo Ship |
| Flag | Liberia |
| Year of Build | 2025 |
| Length Overall (m) | 199.00 |
| Length BP (m) | - |
| Beam (m) | 32.00 |
| Draught (m) | - |
| Depth (m) | - |
| Gross Tonnage | 39368 |
| Net Tonnage | - |
| Deadweight (t) | 61735 |
| 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 | |||||||
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| Manager | |||||||
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| ISM Manager | |||||||
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| P&I Club | |
| Classification Society | |
| Last Survey | |
| Next Survey |
History
Year
Flag
Vessel Name
Registered Owner
Manager
Year
2025 Jan
Flag
Vessel Name
Registered Owner
Manager
Year
2025 Jan
Flag
Vessel Name
KANG FU
Registered Owner
Manager
Disclaimer
KANG FU 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 KANG FU data.