GH63M Series Number Plates
UK vehicles registered in Maidstone, Kent during September 2013 to February 2014 with registration prefix GH63M.
- Area Office
- Maidstone (Maidstone, Kent)
- Release Period
- September 2013 to February 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90%
Average MOT Pass Rate
Based on 20 historical tests
Common Colors
Active Plates in GH63M Series(7 of 7 displayed)
SKODA OCTAVIA
2.0L · Diesel · Silver
- First Used
- Sep 2013
- MOT Expiry
- 28 Jun 2027
- Tax Status
- —
- Color
- Silver
FORD FOCUS
2.0L · Petrol · Blue
- First Used
- Nov 2013
- MOT Expiry
- 25 May 2027
- Tax Status
- —
- Color
- Blue
VAUXHALL MOKKA
1.7L · Diesel · Blue
- First Used
- Dec 2014
- MOT Expiry
- 30 Jun 2027
- Tax Status
- —
- Color
- Blue
FORD PUMA ST-LINE MHEV
Hybrid Electric (Clean) · Red
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
LAND ROVER R R EVOQUE R-DYN HSE D MHEV A
2.0L · Diesel · Red
- First Used
- Sep 2022
- MOT Expiry
- 21 Sep 2026
- Tax Status
- —
- Color
- Red
FORD KUGA
2.0L · Diesel · Black
- First Used
- Jan 2018
- MOT Expiry
- 27 Jun 2026
- Tax Status
- —
- Color
- Black
HONDA CR-V ADVANCE TECH I-MMD CVT
Hybrid Electric (Clean) · Red
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for GH63M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GH63M Plates
Where was the GH63M number plate series registered?
Vehicles starting with GH63M were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GH) identify the memory tag assigned by the DVLA.
What registration period is GH63M?
The GH63M age identifier corresponds to vehicles first registered between September 2013 to February 2014.
How can I check the MOT history of a GH63M 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.