SU63M Series Number Plates
UK vehicles registered in Aberdeen, Scotland during September 2013 to February 2014 with registration prefix SU63M.
- Area Office
- Aberdeen (Aberdeen, Scotland)
- Release Period
- September 2013 to February 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90.3%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in SU63M Series(7 of 7 displayed)
MERCEDES-BENZ SLC
2.1L · Diesel · Black
- First Used
- Sep 2017
- MOT Expiry
- 28 Feb 2027
- Tax Status
- —
- Color
- Black
VOLKSWAGEN T-CROSS
1.0L · Petrol · Grey
- First Used
- Sep 2022
- MOT Expiry
- 17 Aug 2027
- Tax Status
- —
- Color
- Grey
FORD FIESTA
1.6L · Petrol · Black
- First Used
- Jan 2014
- MOT Expiry
- 07 Aug 2027
- Tax Status
- —
- Color
- Black
KIA SPORTAGE 2 ISG CRDI
1.7L · Diesel · WHITE
- First Used
- Feb 2014
- MOT Expiry
- 12 Jan 2027
- Tax Status
- —
- Color
- WHITE
HONDA CR-V
2.0L · Petrol · Blue
- First Used
- Oct 2013
- MOT Expiry
- 29 Nov 2026
- Tax Status
- —
- Color
- Blue
KIA SORENTO
2.2L · Diesel · Grey
- First Used
- Mar 2017
- MOT Expiry
- 20 Mar 2027
- Tax Status
- —
- Color
- Grey
LEXUS RX
3.5L · Hybrid Electric (Clean) · Black
- First Used
- Mar 2014
- MOT Expiry
- 03 Feb 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for SU63M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about SU63M Plates
Where was the SU63M number plate series registered?
Vehicles starting with SU63M were assigned to the Aberdeen covering Aberdeen, Scotland. The first two letters (SU) identify the memory tag assigned by the DVLA.
What registration period is SU63M?
The SU63M age identifier corresponds to vehicles first registered between September 2013 to February 2014.
How can I check the MOT history of a SU63M 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.