KK15J Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during March 2015 to August 2015 with registration prefix KK15J.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- March 2015 to August 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.1%
Average MOT Pass Rate
Based on 28 historical tests
Common Colors
Active Plates in KK15J Series(7 of 7 displayed)
MERCEDES-BENZ SLK
1.8L · Petrol · Grey
- First Used
- Apr 2015
- MOT Expiry
- 25 Sep 2026
- Tax Status
- —
- Color
- Grey
AUDI A3
1.4L · Petrol · Black
- First Used
- Aug 2015
- MOT Expiry
- 18 Aug 2026
- Tax Status
- —
- Color
- Black
AUDI A1
1.4L · Petrol · Grey
- First Used
- Aug 2015
- MOT Expiry
- 20 Dec 2026
- Tax Status
- —
- Color
- Grey
AUDI A4
2.0L · Diesel · Red
- First Used
- Aug 2015
- MOT Expiry
- 15 Oct 2026
- Tax Status
- —
- Color
- Red
SKODA FABIA
1.2L · Petrol · Grey
- First Used
- Aug 2015
- MOT Expiry
- 15 Nov 2026
- Tax Status
- —
- Color
- Grey
SKODA YETI
1.2L · Petrol · Green
- First Used
- Aug 2015
- MOT Expiry
- 28 Aug 2026
- Tax Status
- —
- Color
- Green
AUDI A6 S LINE 40 TFSI MHEV S-A
Petrol · Black
- First Used
- Dec 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for KK15J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KK15J Plates
Where was the KK15J number plate series registered?
Vehicles starting with KK15J were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KK) identify the memory tag assigned by the DVLA.
What registration period is KK15J?
The KK15J age identifier corresponds to vehicles first registered between March 2015 to August 2015.
How can I check the MOT history of a KK15J 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.