KC60D Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during September 2010 to February 2011 with registration prefix KC60D.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- September 2010 to February 2011
- Tracked in Batch
- 6 vehicles
- MOT Pass Rate
- 92.3%
Average MOT Pass Rate
Based on 13 historical tests
Common Colors
Active Plates in KC60D Series(6 of 6 displayed)
FORD KUGA
2.0L · Diesel · White
- First Used
- Apr 2016
- MOT Expiry
- 24 Apr 2027
- Tax Status
- —
- Color
- White
VAUXHALL ASTRA
1.7L · Diesel · White
- First Used
- Oct 2012
- MOT Expiry
- 31 Mar 2027
- Tax Status
- —
- Color
- White
MERCEDES-BENZ VITO 119 SELECT CDI AUTO
Diesel · Grey
- First Used
- Apr 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
LEXUS LBX PREMIUM + CVT
Hybrid Electric (Clean) · Grey
- First Used
- Dec 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN GOLF STYLE TSI E-HYBRID S-A
1.0L · Hybrid Electric (Clean) · Blue
- First Used
- Nov 2025
- MOT Expiry
- 21 Mar 2027
- Tax Status
- —
- Color
- Blue
FORD KUGA VIGNALE PHEV CVT
2.5L · Hybrid Electric (Clean) · Silver
- First Used
- Mar 2022
- MOT Expiry
- 28 Feb 2027
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for KC60D Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KC60D Plates
Where was the KC60D number plate series registered?
Vehicles starting with KC60D were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KC) identify the memory tag assigned by the DVLA.
What registration period is KC60D?
The KC60D age identifier corresponds to vehicles first registered between September 2010 to February 2011.
How can I check the MOT history of a KC60D 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.