LO51T Series Number Plates
UK vehicles registered in Wimbledon (South London) during September 2001 to February 2002 with registration prefix LO51T.
- Area Office
- Wimbledon (South London) (Wimbledon (South London))
- Release Period
- September 2001 to February 2002
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in LO51T Series(7 of 7 displayed)
BYD DOLPHIN COMFORT EV
Electric · White
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
AUDI A1
1.4L · Petrol · White
- First Used
- Jun 2018
- MOT Expiry
- 12 Mar 2027
- Tax Status
- —
- Color
- White
VOLKSWAGEN POLO
1.0L · Petrol · Purple
- First Used
- Jun 2022
- MOT Expiry
- 19 Nov 2026
- Tax Status
- —
- Color
- Purple
MG 3
1.5L · Petrol · Silver
- First Used
- Sep 2016
- MOT Expiry
- 11 Jan 2027
- Tax Status
- —
- Color
- Silver
FORD TRANSIT CUSTOM
2.0L · Diesel · White
- First Used
- Jun 2019
- MOT Expiry
- 07 Jun 2027
- Tax Status
- —
- Color
- White
NISSAN NAVARA
2.5L · Diesel · Blue
- First Used
- Jun 2006
- MOT Expiry
- 02 Oct 2026
- Tax Status
- —
- Color
- Blue
TESLA MODEL Y RWD
Electric · Black
- First Used
- Dec 2022
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for LO51T Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LO51T Plates
Where was the LO51T number plate series registered?
Vehicles starting with LO51T were assigned to the Wimbledon (South London) covering Wimbledon (South London). The first two letters (LO) identify the memory tag assigned by the DVLA.
What registration period is LO51T?
The LO51T age identifier corresponds to vehicles first registered between September 2001 to February 2002.
How can I check the MOT history of a LO51T 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.