GO54M Series Number Plates
UK vehicles registered in Maidstone, Kent during September 2004 to February 2005 with registration prefix GO54M.
- Area Office
- Maidstone (Maidstone, Kent)
- Release Period
- September 2004 to February 2005
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 83.3%
Average MOT Pass Rate
Based on 18 historical tests
Common Colors
Active Plates in GO54M Series(7 of 7 displayed)
BMW 420
2.0L · Diesel · Blue
- First Used
- Mar 2015
- MOT Expiry
- 13 Feb 2027
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN T-ROC R-LINE TSI EVO S-A
1.5L · Petrol · Red
- First Used
- Jun 2021
- MOT Expiry
- 19 May 2027
- Tax Status
- —
- Color
- Red
BMW 123
2.0L · Diesel · White
- First Used
- Jun 2009
- MOT Expiry
- 12 Mar 2027
- Tax Status
- —
- Color
- White
HONDA CB 1000 RA-M
1.0L · Petrol · Grey
- First Used
- Aug 2021
- MOT Expiry
- 01 Aug 2027
- Tax Status
- —
- Color
- Grey
TESLA MODEL 3 LONG RANGE RWD
Electric · White
- First Used
- Nov 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
MERCEDES-BENZ E
2.0L · Petrol · Red
- First Used
- Mar 2019
- MOT Expiry
- 03 Oct 2026
- Tax Status
- —
- Color
- Red
AUDI A1 S LINE BLACK ED 30 TFSI S-A
1.0L · Petrol · Yellow
- First Used
- Dec 2022
- MOT Expiry
- 16 Dec 2026
- Tax Status
- —
- Color
- Yellow
Reliability & Common Problem Guides for GO54M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GO54M Plates
Where was the GO54M number plate series registered?
Vehicles starting with GO54M were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GO) identify the memory tag assigned by the DVLA.
What registration period is GO54M?
The GO54M age identifier corresponds to vehicles first registered between September 2004 to February 2005.
How can I check the MOT history of a GO54M 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.