LP06C Series Number Plates
UK vehicles registered in Wimbledon (South London) during March 2006 to August 2006 with registration prefix LP06C.
- Area Office
- Wimbledon (South London) (Wimbledon (South London))
- Release Period
- March 2006 to August 2006
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 77.8%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in LP06C Series(7 of 7 displayed)
SEAT IBIZA
1.4L · Petrol · White
- First Used
- Nov 2013
- MOT Expiry
- 07 Aug 2026
- Tax Status
- —
- Color
- White
MG 4 TROPHY
Electric · Orange
- First Used
- Nov 2022
- MOT Expiry
- 29 Nov 2026
- Tax Status
- —
- Color
- Orange
VOLKSWAGEN POLO
1.4L · Petrol · Grey
- First Used
- Nov 2013
- MOT Expiry
- 07 Oct 2026
- Tax Status
- —
- Color
- Grey
RENAULT CLIO
1.5L · Diesel · Red
- First Used
- Jul 2014
- MOT Expiry
- 21 Jan 2027
- Tax Status
- —
- Color
- Red
FIAT PANDA GARMIN MHEV
Petrol · Green
- First Used
- Nov 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Green
MERCEDES-BENZ SPRINTER
2.1L · Diesel · Silver
- First Used
- Dec 2018
- MOT Expiry
- 22 Apr 2026
- Tax Status
- —
- Color
- Silver
HYUNDAI I20
1.2L · Petrol · Silver
- First Used
- Mar 2014
- MOT Expiry
- 18 Aug 2026
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for LP06C Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LP06C Plates
Where was the LP06C number plate series registered?
Vehicles starting with LP06C were assigned to the Wimbledon (South London) covering Wimbledon (South London). The first two letters (LP) identify the memory tag assigned by the DVLA.
What registration period is LP06C?
The LP06C age identifier corresponds to vehicles first registered between March 2006 to August 2006.
How can I check the MOT history of a LP06C 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.