SK56C Series Number Plates
UK vehicles registered in Edinburgh, Scotland during September 2006 to February 2007 with registration prefix SK56C.
- Area Office
- Edinburgh (Edinburgh, Scotland)
- Release Period
- September 2006 to February 2007
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 75%
Average MOT Pass Rate
Based on 20 historical tests
Common Colors
Active Plates in SK56C Series(7 of 7 displayed)
FORD ECOSPORT
1.0L · Petrol · Yellow
- First Used
- Jun 2020
- MOT Expiry
- 01 May 2027
- Tax Status
- —
- Color
- Yellow
FORD FIESTA
1.4L · Petrol · Blue
- First Used
- Sep 2006
- MOT Expiry
- 14 Feb 2023
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN GOLF
2.0L · Diesel · Blue
- First Used
- Jan 2007
- MOT Expiry
- 16 Feb 2023
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN POLO
1.4L · Petrol · Silver
- First Used
- Dec 2006
- MOT Expiry
- 18 Dec 2026
- Tax Status
- —
- Color
- Silver
LAND ROVER RANGE ROVER SPORT
2.7L · Diesel · Silver
- First Used
- Jan 2007
- MOT Expiry
- 10 Jan 2025
- Tax Status
- —
- Color
- Silver
YAMAHA XVS650
0.6L · Petrol · Blue
- First Used
- Dec 2006
- MOT Expiry
- 07 Sep 2026
- Tax Status
- —
- Color
- Blue
RENAULT TRAFIC
1.9L · Diesel · White
- First Used
- Sep 2006
- MOT Expiry
- 17 Oct 2026
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for SK56C Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about SK56C Plates
Where was the SK56C number plate series registered?
Vehicles starting with SK56C were assigned to the Edinburgh covering Edinburgh, Scotland. The first two letters (SK) identify the memory tag assigned by the DVLA.
What registration period is SK56C?
The SK56C age identifier corresponds to vehicles first registered between September 2006 to February 2007.
How can I check the MOT history of a SK56C 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.