SC58K Series Number Plates
UK vehicles registered in Glasgow, Scotland during September 2008 to February 2009 with registration prefix SC58K.
- Area Office
- Glasgow (Glasgow, Scotland)
- Release Period
- September 2008 to February 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88.5%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in SC58K Series(7 of 7 displayed)
NISSAN JUKE N-CONNECTA HEV CVT
Hybrid Electric (Clean) · Silver
- First Used
- Oct 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Silver
FORD KUGA
2.0L · Diesel · Grey
- First Used
- Jul 2015
- MOT Expiry
- 27 Dec 2026
- Tax Status
- —
- Color
- Grey
BMW I3
0.6L · Hybrid Electric (Clean) · Silver
- First Used
- Nov 2015
- MOT Expiry
- 21 Oct 2026
- Tax Status
- —
- Color
- Silver
MINI COOPER S
2.0L · Petrol · Black
- First Used
- Dec 2022
- MOT Expiry
- 09 Feb 2027
- Tax Status
- —
- Color
- Black
VAUXHALL ANTARA
2.2L · Diesel · Black
- First Used
- Jul 2013
- MOT Expiry
- 01 Dec 2026
- Tax Status
- —
- Color
- Black
PEUGEOT 108
1.0L · Petrol · White
- First Used
- Jul 2018
- MOT Expiry
- 29 Aug 2026
- Tax Status
- —
- Color
- White
VOLVO C30
2.0L · Petrol · White
- First Used
- Nov 2012
- MOT Expiry
- 20 Mar 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for SC58K Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about SC58K Plates
Where was the SC58K number plate series registered?
Vehicles starting with SC58K were assigned to the Glasgow covering Glasgow, Scotland. The first two letters (SC) identify the memory tag assigned by the DVLA.
What registration period is SC58K?
The SC58K age identifier corresponds to vehicles first registered between September 2008 to February 2009.
How can I check the MOT history of a SC58K 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.