KL64A Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during September 2014 to February 2015 with registration prefix KL64A.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 6 vehicles
- MOT Pass Rate
- 90.5%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in KL64A Series(6 of 6 displayed)
MERCEDES-BENZ CLA
1.6L · Petrol · Red
- First Used
- Jan 2018
- MOT Expiry
- 14 Oct 2027
- Tax Status
- Untaxed
- Color
- Red
MERCEDES-BENZ E
2.0L · Petrol · Black
- First Used
- Nov 2018
- MOT Expiry
- 12 Jul 2027
- Tax Status
- —
- Color
- Black
SUZUKI GSXS 1000 TRQ2 M3
Petrol · Black
- First Used
- Jan 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
FORD PUMA ST-LINE X MHEV
1.0L · Petrol · Grey
- First Used
- Sep 2021
- MOT Expiry
- 28 Jul 2027
- Tax Status
- —
- Color
- Grey
LAND ROVER RANGE ROVER EVOQUE D AUTO
2.0L · DIESEL · BLACK
- First Used
- Apr 2019
- MOT Expiry
- 14 Oct 2026
- Tax Status
- Taxed
- Color
- BLACK
TOYOTA COROLLA ICON TECH HEV CVT
1.8L · Hybrid Electric (Clean) · Black
- First Used
- Oct 2020
- MOT Expiry
- 19 May 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for KL64A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KL64A Plates
Where was the KL64A number plate series registered?
Vehicles starting with KL64A 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 KL64A?
The KL64A age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a KL64A 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.