LU58C Series Number Plates
UK vehicles registered in Sidcup (South East London) during September 2008 to February 2009 with registration prefix LU58C.
- Area Office
- Sidcup (South East London) (Sidcup (South East London))
- Release Period
- September 2008 to February 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 94.1%
Average MOT Pass Rate
Based on 34 historical tests
Common Colors
Active Plates in LU58C Series(7 of 7 displayed)
AUDI A3
1.0L · Petrol · Grey
- First Used
- Nov 2018
- MOT Expiry
- 06 Dec 2026
- Tax Status
- —
- Color
- Grey
VAUXHALL CORSA
1.4L · Petrol · Blue
- First Used
- Jan 2016
- MOT Expiry
- 05 Oct 2026
- Tax Status
- —
- Color
- Blue
AUDI A3
1.5L · Petrol · Grey
- First Used
- Apr 2018
- MOT Expiry
- 22 Mar 2027
- Tax Status
- —
- Color
- Grey
BMW
3.0L · Diesel · Grey
- First Used
- Dec 2012
- MOT Expiry
- 07 Apr 2027
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ A-CLASS
1.5L · Diesel · Green
- First Used
- Mar 2016
- MOT Expiry
- 26 Apr 2026
- Tax Status
- —
- Color
- Green
SEAT ARONA
1.6L · Diesel · Red
- First Used
- Jun 2019
- MOT Expiry
- 29 Jun 2026
- Tax Status
- —
- Color
- Red
FORD KUGA
2.0L · Diesel · Blue
- First Used
- Apr 2014
- MOT Expiry
- 31 Jan 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for LU58C Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LU58C Plates
Where was the LU58C number plate series registered?
Vehicles starting with LU58C were assigned to the Sidcup (South East London) covering Sidcup (South East London). The first two letters (LU) identify the memory tag assigned by the DVLA.
What registration period is LU58C?
The LU58C age identifier corresponds to vehicles first registered between September 2008 to February 2009.
How can I check the MOT history of a LU58C 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.