LK22M Series Number Plates
UK vehicles registered in Wimbledon (South London) during March 2022 to August 2022 with registration prefix LK22M.
- Area Office
- Wimbledon (South London) (Wimbledon (South London))
- Release Period
- March 2022 to August 2022
- Tracked in Batch
- 6 vehicles
- MOT Pass Rate
- 88.9%
Average MOT Pass Rate
Based on 9 historical tests
Common Colors
Active Plates in LK22M Series(6 of 6 displayed)
FORD FOCUS TITANIUM MHEV AUTO
1.0L · Petrol · Silver
- First Used
- May 2022
- MOT Expiry
- 22 May 2027
- Tax Status
- —
- Color
- Silver
FORD FIESTA ST-LINE VIGNALE T MHEV
1.0L · Petrol · Blue
- First Used
- May 2022
- MOT Expiry
- 17 May 2026
- Tax Status
- —
- Color
- Blue
VOLVO XC90 ULTRA T8 PHEV AWD AUTO
Hybrid Electric (Clean) · Grey
- First Used
- Nov 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
FORD KUGA ST-LINE X ED PHEV CVT
2.5L · Hybrid Electric (Clean) · Blue
- First Used
- Mar 2022
- MOT Expiry
- 29 Mar 2027
- Tax Status
- —
- Color
- Blue
FORD KUGA VIGNALE HEV CVT
2.5L · Hybrid Electric (Clean) · Blue
- First Used
- Apr 2022
- MOT Expiry
- 28 Apr 2026
- Tax Status
- —
- Color
- Blue
FORD ECOSPORT
1.0L · Petrol · Grey
- First Used
- Mar 2022
- MOT Expiry
- 31 Mar 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for LK22M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LK22M Plates
Where was the LK22M number plate series registered?
Vehicles starting with LK22M were assigned to the Wimbledon (South London) covering Wimbledon (South London). The first two letters (LK) identify the memory tag assigned by the DVLA.
What registration period is LK22M?
The LK22M age identifier corresponds to vehicles first registered between March 2022 to August 2022.
How can I check the MOT history of a LK22M 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.