MS53E Series Number Plates
UK vehicles registered in Manchester & Merseyside during September 2003 to February 2004 with registration prefix MS53E.
- Area Office
- Manchester & Merseyside (Manchester & Merseyside)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in MS53E Series(7 of 7 displayed)
AUDI A5
3.0L · Diesel · Black
- First Used
- Mar 2012
- MOT Expiry
- 13 Dec 2026
- Tax Status
- —
- Color
- Black
BMW X3
2.0L · Diesel · Black
- First Used
- Sep 2019
- MOT Expiry
- 18 Jan 2027
- Tax Status
- —
- Color
- Black
BMW 5 SERIES
2.0L · Diesel · Black
- First Used
- Mar 2017
- MOT Expiry
- 02 Dec 2026
- Tax Status
- —
- Color
- Black
AUDI A3
1.6L · Diesel · Red
- First Used
- Mar 2010
- MOT Expiry
- 11 Sep 2027
- Tax Status
- —
- Color
- Red
SCANIA R580
0.1L · Diesel · RED
- First Used
- Jan 2016
- MOT Expiry
- 18 Apr 2026
- Tax Status
- —
- Color
- RED
VOLKSWAGEN GOLF
2.0L · Diesel · Blue
- First Used
- Mar 2011
- MOT Expiry
- 04 Jul 2026
- Tax Status
- —
- Color
- Blue
MERCEDES-BENZ C
2.1L · Diesel · Grey
- First Used
- Jan 2018
- MOT Expiry
- 08 Jul 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for MS53E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about MS53E Plates
Where was the MS53E number plate series registered?
Vehicles starting with MS53E 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 MS53E?
The MS53E age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a MS53E 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.