HC06J Series Number Plates
UK vehicles registered in Bournemouth, South West during March 2006 to August 2006 with registration prefix HC06J.
- Area Office
- Bournemouth (Bournemouth, South West)
- Release Period
- March 2006 to August 2006
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90.9%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in HC06J Series(7 of 7 displayed)
VOLKSWAGEN TRANSPORTER
2.0L · Diesel · White
- First Used
- May 2015
- MOT Expiry
- 23 Nov 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ A-CLASS
2.1L · Diesel · Green
- First Used
- Jul 2017
- MOT Expiry
- 24 Nov 2026
- Tax Status
- —
- Color
- Green
CITROEN C1
1.0L · Petrol · Black
- First Used
- Nov 2010
- MOT Expiry
- 17 Nov 2026
- Tax Status
- —
- Color
- Black
HONDA CIVIC
1.3L · Petrol · Grey
- First Used
- May 2006
- MOT Expiry
- 26 May 2027
- Tax Status
- —
- Color
- Grey
PEUGEOT PARTNER
1.6L · Diesel · Silver
- First Used
- May 2016
- MOT Expiry
- 11 Aug 2027
- Tax Status
- —
- Color
- Silver
MERCEDES-BENZ SLK
2.0L · Petrol · Silver
- First Used
- Dec 2007
- MOT Expiry
- 29 Mar 2027
- Tax Status
- —
- Color
- Silver
FORD FIESTA
1.6L · Petrol · White
- First Used
- Nov 2010
- MOT Expiry
- 24 Apr 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for HC06J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HC06J Plates
Where was the HC06J number plate series registered?
Vehicles starting with HC06J were assigned to the Bournemouth covering Bournemouth, South West. The first two letters (HC) identify the memory tag assigned by the DVLA.
What registration period is HC06J?
The HC06J age identifier corresponds to vehicles first registered between March 2006 to August 2006.
How can I check the MOT history of a HC06J 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.