LH54N Series Number Plates
UK vehicles registered in Stanmore (North London) during September 2004 to February 2005 with registration prefix LH54N.
- Area Office
- Stanmore (North London) (Stanmore (North London))
- Release Period
- September 2004 to February 2005
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88.2%
Average MOT Pass Rate
Based on 17 historical tests
Common Colors
Active Plates in LH54N Series(7 of 7 displayed)
TOYOTA AYGO X EDGE VVT-I AUTO
Petrol · Red
- First Used
- Nov 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
VOLVO XC40
1.5L · Petrol · White
- First Used
- Feb 2020
- MOT Expiry
- 15 Mar 2027
- Tax Status
- —
- Color
- White
SEAT IBIZA FR SPORT TSI
Petrol · Black
- First Used
- Sep 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
KIA SPORTAGE
1.7L · Diesel · White
- First Used
- Jan 2015
- MOT Expiry
- 13 Dec 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ CLA
2.0L · Petrol · White
- First Used
- Aug 2014
- MOT Expiry
- 06 Jul 2027
- Tax Status
- —
- Color
- White
MERCEDES-BENZ A
1.3L · Petrol · Grey
- First Used
- Sep 2019
- MOT Expiry
- 29 Oct 2027
- Tax Status
- —
- Color
- Grey
SKODA KAROQ SE L EDITION TSI
Petrol · Grey
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for LH54N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LH54N Plates
Where was the LH54N number plate series registered?
Vehicles starting with LH54N were assigned to the Stanmore (North London) covering Stanmore (North London). The first two letters (LH) identify the memory tag assigned by the DVLA.
What registration period is LH54N?
The LH54N age identifier corresponds to vehicles first registered between September 2004 to February 2005.
How can I check the MOT history of a LH54N 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.