LT68X Series Number Plates
UK vehicles registered in Wimbledon (South London) during September 2018 to February 2019 with registration prefix LT68X.
- Area Office
- Wimbledon (South London) (Wimbledon (South London))
- Release Period
- September 2018 to February 2019
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88.2%
Popular Makes
Average MOT Pass Rate
Based on 34 historical tests
Common Colors
Active Plates in LT68X Series(7 of 7 displayed)
AUDI Q5
3.0L · Petrol · Black
- First Used
- Dec 2018
- MOT Expiry
- 02 Dec 2026
- Tax Status
- —
- Color
- Black
AUDI A1
1.4L · Petrol · White
- First Used
- Sep 2018
- MOT Expiry
- 29 Aug 2026
- Tax Status
- —
- Color
- White
AUDI A1
1.4L · Petrol · Grey
- First Used
- Sep 2018
- MOT Expiry
- 01 Jul 2026
- Tax Status
- —
- Color
- Grey
AUDI Q8
3.0L · Diesel · Grey
- First Used
- Oct 2018
- MOT Expiry
- 15 Sep 2027
- Tax Status
- —
- Color
- Grey
AUDI A5
3.0L · Petrol · Grey
- First Used
- Nov 2018
- MOT Expiry
- 08 Nov 2026
- Tax Status
- —
- Color
- Grey
AUDI A3
2.5L · Petrol · Black
- First Used
- Sep 2018
- MOT Expiry
- 27 Jul 2027
- Tax Status
- —
- Color
- Black
AUDI A3
1.0L · Petrol · Black
- First Used
- Dec 2018
- MOT Expiry
- 14 Apr 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for LT68X Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LT68X Plates
Where was the LT68X number plate series registered?
Vehicles starting with LT68X were assigned to the Wimbledon (South London) covering Wimbledon (South London). The first two letters (LT) identify the memory tag assigned by the DVLA.
What registration period is LT68X?
The LT68X age identifier corresponds to vehicles first registered between September 2018 to February 2019.
How can I check the MOT history of a LT68X 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.