KB10N Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during March 2010 to August 2010 with registration prefix KB10N.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 83.3%
Average MOT Pass Rate
Based on 30 historical tests
Common Colors
Active Plates in KB10N Series(7 of 7 displayed)
CITROEN C4
1.6L · Diesel · Silver
- First Used
- Mar 2015
- MOT Expiry
- 18 Jun 2026
- Tax Status
- —
- Color
- Silver
FIAT DUCATO
2.3L · Diesel · White
- First Used
- Mar 2010
- MOT Expiry
- 06 Nov 2026
- Tax Status
- —
- Color
- White
HONDA HR-V
1.5L · Petrol · White
- First Used
- Mar 2018
- MOT Expiry
- 31 Aug 2026
- Tax Status
- —
- Color
- White
VOLKSWAGEN TIGUAN
2.0L · Diesel · Grey
- First Used
- Dec 2014
- MOT Expiry
- 13 Sep 2027
- Tax Status
- —
- Color
- Grey
SEAT LEON
2.0L · Petrol · Red
- First Used
- Jun 2015
- MOT Expiry
- 19 May 2027
- Tax Status
- —
- Color
- Red
MERCEDES-BENZ C
2.0L · Petrol · White
- First Used
- Feb 2018
- MOT Expiry
- 10 Mar 2027
- Tax Status
- —
- Color
- White
TESLA MODEL Y RWD
Electric · Grey
- First Used
- Jun 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for KB10N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KB10N Plates
Where was the KB10N number plate series registered?
Vehicles starting with KB10N were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KB) identify the memory tag assigned by the DVLA.
What registration period is KB10N?
The KB10N age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a KB10N 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.