GS53M Series Number Plates
UK vehicles registered in Canterbury, Kent during September 2003 to February 2004 with registration prefix GS53M.
- Area Office
- Canterbury (Canterbury, Kent)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in GS53M Series(7 of 7 displayed)
FIAT 500
1.2L · Petrol · White
- First Used
- Apr 2012
- MOT Expiry
- 22 Mar 2027
- Tax Status
- —
- Color
- White
AUDI A6
2.0L · Diesel · Grey
- First Used
- Nov 2017
- MOT Expiry
- 16 Aug 2027
- Tax Status
- —
- Color
- Grey
FORD GALAXY
1.9L · Diesel · Silver
- First Used
- Sep 2005
- MOT Expiry
- 24 Nov 2022
- Tax Status
- —
- Color
- Silver
MERCEDES-BENZ B-CLASS
1.5L · Diesel · White
- First Used
- Oct 2013
- MOT Expiry
- 31 Oct 2026
- Tax Status
- —
- Color
- White
LAND ROVER FREELANDER
2.0L · Diesel · Silver
- First Used
- Dec 2004
- MOT Expiry
- 27 Mar 2023
- Tax Status
- —
- Color
- Silver
HONDA JAZZ EX I-MMD CVT
1.5L · Hybrid Electric (Clean) · White
- First Used
- Jun 2021
- MOT Expiry
- 28 Jun 2026
- Tax Status
- —
- Color
- White
TRIUMPH TIGER 1200 GT PRO
Petrol · Red
- First Used
- Jan 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for GS53M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GS53M Plates
Where was the GS53M number plate series registered?
Vehicles starting with GS53M were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GS) identify the memory tag assigned by the DVLA.
What registration period is GS53M?
The GS53M age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a GS53M 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.