LE58H Series Number Plates
UK vehicles registered in Stanmore (North London) during September 2008 to February 2009 with registration prefix LE58H.
- Area Office
- Stanmore (North London) (Stanmore (North London))
- Release Period
- September 2008 to February 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 76.7%
Average MOT Pass Rate
Based on 30 historical tests
Common Colors
Active Plates in LE58H Series(7 of 7 displayed)
AUDI A4
2.0L · Diesel · White
- First Used
- Oct 2016
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- White
MERCEDES-BENZ C
2.1L · Diesel · Black
- First Used
- Nov 2013
- MOT Expiry
- 22 Sep 2026
- Tax Status
- —
- Color
- Black
VAUXHALL ANTARA
2.2L · Diesel · White
- First Used
- Sep 2014
- MOT Expiry
- 23 Oct 2026
- Tax Status
- —
- Color
- White
PEUGEOT 208
1.2L · Petrol · White
- First Used
- Mar 2013
- MOT Expiry
- 03 Jun 2026
- Tax Status
- —
- Color
- White
BMW 520
2.0L · Diesel · Silver
- First Used
- Oct 2015
- MOT Expiry
- 11 Jun 2026
- Tax Status
- —
- Color
- Silver
AUDI A3
1.4L · Petrol · Black
- First Used
- Mar 2016
- MOT Expiry
- 22 Oct 2026
- Tax Status
- —
- Color
- Black
FORD FOCUS
1.0L · Petrol · Grey
- First Used
- Mar 2019
- MOT Expiry
- 01 Apr 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for LE58H Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LE58H Plates
Where was the LE58H number plate series registered?
Vehicles starting with LE58H were assigned to the Stanmore (North London) covering Stanmore (North London). The first two letters (LE) identify the memory tag assigned by the DVLA.
What registration period is LE58H?
The LE58H age identifier corresponds to vehicles first registered between September 2008 to February 2009.
How can I check the MOT history of a LE58H 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.