MS14J Series Number Plates
UK vehicles registered in Manchester & Merseyside during March 2014 to August 2014 with registration prefix MS14J.
- Area Office
- Manchester & Merseyside (Manchester & Merseyside)
- Release Period
- March 2014 to August 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 80.6%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in MS14J Series(7 of 7 displayed)
JAGUAR F-TYPE
3.0L · Petrol · Black
- First Used
- Jul 2017
- MOT Expiry
- 23 Jun 2024
- Tax Status
- —
- Color
- Black
FORD MONDEO
1.5L · Diesel · Grey
- First Used
- Mar 2016
- MOT Expiry
- 08 Jun 2027
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN SHARAN
2.0L · Diesel · Black
- First Used
- Jun 2019
- MOT Expiry
- 14 Jun 2027
- Tax Status
- —
- Color
- Black
VAUXHALL INSIGNIA
1.6L · Diesel · White
- First Used
- Sep 2015
- MOT Expiry
- 30 Sep 2025
- Tax Status
- —
- Color
- White
VOLVO V40
2.0L · Diesel · Black
- First Used
- Dec 2015
- MOT Expiry
- 21 Jan 2027
- Tax Status
- —
- Color
- Black
AUDI Q5
2.0L · Diesel · White
- First Used
- Feb 2019
- MOT Expiry
- 12 Feb 2027
- Tax Status
- —
- Color
- White
FORD MONDEO
2.0L · Diesel · White
- First Used
- Mar 2018
- MOT Expiry
- 18 Aug 2026
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for MS14J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about MS14J Plates
Where was the MS14J number plate series registered?
Vehicles starting with MS14J were assigned to the Manchester & Merseyside covering Manchester & Merseyside. The first two letters (MS) identify the memory tag assigned by the DVLA.
What registration period is MS14J?
The MS14J age identifier corresponds to vehicles first registered between March 2014 to August 2014.
How can I check the MOT history of a MS14J vehicle?
Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.