SU60W Series Number Plates
UK vehicles registered in Aberdeen, Scotland during September 2010 to February 2011 with registration prefix SU60W.
- Area Office
- Aberdeen (Aberdeen, Scotland)
- Release Period
- September 2010 to February 2011
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 95.5%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in SU60W Series(7 of 7 displayed)
KIA SPORTAGE 3 ISG
Petrol · Grey
- First Used
- Jan 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
TESLA MODEL Y LONG RANGE AWD
Electric · Black
- First Used
- Mar 2022
- MOT Expiry
- 04 Mar 2027
- Tax Status
- —
- Color
- Black
KIA PICANTO
1.2L · Petrol · Black
- First Used
- Mar 2018
- MOT Expiry
- 19 Apr 2026
- Tax Status
- —
- Color
- Black
PEUGEOT 207
1.6L · Petrol · Blue
- First Used
- Mar 2011
- MOT Expiry
- 12 Feb 2027
- Tax Status
- —
- Color
- Blue
NISSAN QASHQAI N-CONNECTA DIG-T MHEV
1.3L · Hybrid Electric (Clean) · Silver
- First Used
- Sep 2022
- MOT Expiry
- 02 Feb 2027
- Tax Status
- Taxed
- Color
- Silver
FORD KUGA
2.0L · Diesel · Blue
- First Used
- Nov 2019
- MOT Expiry
- 11 Dec 2026
- Tax Status
- —
- Color
- Blue
RENAULT CAPTUR
0.9L · Petrol · Red
- First Used
- Mar 2017
- MOT Expiry
- 08 Feb 2027
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for SU60W Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about SU60W Plates
Where was the SU60W number plate series registered?
Vehicles starting with SU60W 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 SU60W?
The SU60W age identifier corresponds to vehicles first registered between September 2010 to February 2011.
How can I check the MOT history of a SU60W 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.