KB10W Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during March 2010 to August 2010 with registration prefix KB10W.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 80.8%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in KB10W Series(7 of 7 displayed)
FORD FOCUS
1.0L · Petrol · Grey
- First Used
- Mar 2023
- MOT Expiry
- 09 Mar 2027
- Tax Status
- —
- Color
- Grey
JEEP RENEGADE
1.6L · Diesel · Grey
- First Used
- Mar 2018
- MOT Expiry
- 21 Apr 2026
- Tax Status
- —
- Color
- Grey
PEUGEOT 108
1.0L · Petrol · Blue
- First Used
- Jun 2019
- MOT Expiry
- 24 Jun 2027
- Tax Status
- —
- Color
- Blue
FORD FOCUS
1.6L · Diesel · White
- First Used
- Jun 2013
- MOT Expiry
- 12 May 2027
- Tax Status
- —
- Color
- White
NISSAN LEAF
Electric · Grey
- First Used
- Mar 2014
- MOT Expiry
- 29 Nov 2026
- Tax Status
- —
- Color
- Grey
FORD PUMA ST-LINE
1.0L · Petrol · Black
- First Used
- Oct 2020
- MOT Expiry
- 23 Oct 2026
- Tax Status
- —
- Color
- Black
VOLKSWAGEN T-CROSS
1.0L · Petrol · Blue
- First Used
- Apr 2021
- MOT Expiry
- 12 Apr 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for KB10W Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KB10W Plates
Where was the KB10W number plate series registered?
Vehicles starting with KB10W 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 KB10W?
The KB10W age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a KB10W 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.