KA68T Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during September 2018 to February 2019 with registration prefix KA68T.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- September 2018 to February 2019
- Tracked in Batch
- 6 vehicles
- MOT Pass Rate
- 93.3%
Average MOT Pass Rate
Based on 15 historical tests
Common Colors
Active Plates in KA68T Series(6 of 6 displayed)
AUDI Q3 S LINE BLACK ED 35 TFSI SA
Petrol · Black
- First Used
- Sep 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
VAUXHALL MOKKA
1.4L · Petrol · White
- First Used
- Nov 2018
- MOT Expiry
- 03 Mar 2027
- Tax Status
- —
- Color
- White
MAZDA MAZDA 2 HYBRID EXCLUSVE-LN CVT
Hybrid Electric (Clean) · Blue
- First Used
- May 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
FORD KUGA ST-LINE X ECOBLUE
1.5L · Diesel · White
- First Used
- May 2022
- MOT Expiry
- 11 Dec 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ A
1.3L · Petrol · White
- First Used
- Sep 2018
- MOT Expiry
- 25 Feb 2027
- Tax Status
- —
- Color
- White
CITROEN C5 AIRCORSS FLAIR + PHEV A
1.6L · Hybrid Electric (Clean) · Grey
- First Used
- May 2021
- MOT Expiry
- 13 May 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for KA68T Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KA68T Plates
Where was the KA68T number plate series registered?
Vehicles starting with KA68T were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KA) identify the memory tag assigned by the DVLA.
What registration period is KA68T?
The KA68T age identifier corresponds to vehicles first registered between September 2018 to February 2019.
How can I check the MOT history of a KA68T 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.