LJ13R Series Number Plates
UK vehicles registered in Wimbledon (South London) during March 2013 to August 2013 with registration prefix LJ13R.
- Area Office
- Wimbledon (South London) (Wimbledon (South London))
- Release Period
- March 2013 to August 2013
- Tracked in Batch
- 6 vehicles
- MOT Pass Rate
- 85.7%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in LJ13R Series(6 of 6 displayed)
JAGUAR F-PACE
2.0L · Diesel · Black
- First Used
- Sep 2019
- MOT Expiry
- 08 Sep 2026
- Tax Status
- —
- Color
- Black
VOLVO XC40 INSCRIPTION T4 RECHARGE A
1.5L · Hybrid Electric (Clean) · Silver
- First Used
- Jun 2021
- MOT Expiry
- 01 Jun 2027
- Tax Status
- —
- Color
- Silver
MITSUBISHI OUTLANDER
2.0L · Hybrid Electric (Clean) · White
- First Used
- Nov 2015
- MOT Expiry
- 14 Dec 2026
- Tax Status
- —
- Color
- White
NISSAN QASHQAI TEKNA DIG-T MHEV CVT
1.3L · Hybrid Electric (Clean) · Red
- First Used
- Sep 2021
- MOT Expiry
- 13 Apr 2027
- Tax Status
- —
- Color
- Red
TRIUMPH ROCKET 3 STORM GT
Petrol · Grey
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN TIGUAN MATCH TDI S-A
2.0L · Diesel · Blue
- First Used
- May 2019
- MOT Expiry
- 04 Jul 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for LJ13R Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LJ13R Plates
Where was the LJ13R number plate series registered?
Vehicles starting with LJ13R were assigned to the Wimbledon (South London) covering Wimbledon (South London). The first two letters (LJ) identify the memory tag assigned by the DVLA.
What registration period is LJ13R?
The LJ13R age identifier corresponds to vehicles first registered between March 2013 to August 2013.
How can I check the MOT history of a LJ13R 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.