KL10N Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during March 2010 to August 2010 with registration prefix KL10N.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84%
Average MOT Pass Rate
Based on 25 historical tests
Common Colors
Active Plates in KL10N Series(7 of 7 displayed)
NISSAN JUKE
1.5L · Diesel · White
- First Used
- Jun 2014
- MOT Expiry
- 28 Jul 2026
- Tax Status
- —
- Color
- White
VOLVO V40
1.6L · Diesel · White
- First Used
- Jun 2013
- MOT Expiry
- 24 Aug 2026
- Tax Status
- —
- Color
- White
VOLVO EX30 ULTRA
Electric · Blue
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
FORD FIESTA
1.0L · Petrol · Black
- First Used
- Mar 2017
- MOT Expiry
- 24 Mar 2027
- Tax Status
- —
- Color
- Black
VOLKSWAGEN GOLF
1.6L · Diesel · Grey
- First Used
- Dec 2010
- MOT Expiry
- 09 May 2027
- Tax Status
- —
- Color
- Grey
FORD PUMA ST-LINE X MHEV AUTO
Hybrid Electric (Clean) · Black
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
BMW 420
2.0L · Petrol · Black
- First Used
- Mar 2020
- MOT Expiry
- 07 Sep 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for KL10N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KL10N Plates
Where was the KL10N number plate series registered?
Vehicles starting with KL10N were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KL) identify the memory tag assigned by the DVLA.
What registration period is KL10N?
The KL10N age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a KL10N 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.