HA56H Series Number Plates
UK vehicles registered in Bournemouth, South West during September 2006 to February 2007 with registration prefix HA56H.
- Area Office
- Bournemouth (Bournemouth, South West)
- Release Period
- September 2006 to February 2007
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 80.6%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in HA56H Series(7 of 7 displayed)
MERCEDES-BENZ A
1.3L · Petrol · Blue
- First Used
- Mar 2023
- MOT Expiry
- 28 Feb 2027
- Tax Status
- —
- Color
- Blue
VOLVO XC90
2.4L · Diesel · Purple
- First Used
- Dec 2007
- MOT Expiry
- 09 Jul 2027
- Tax Status
- —
- Color
- Purple
MINI MINI
1.6L · Petrol · White
- First Used
- Jan 2007
- MOT Expiry
- 10 Nov 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ A-CLASS
1.3L · Petrol · Black
- First Used
- Jul 2018
- MOT Expiry
- 27 Feb 2027
- Tax Status
- —
- Color
- Black
VOLKSWAGEN GOLF
2.0L · Petrol · Black
- First Used
- Dec 2016
- MOT Expiry
- 20 May 2026
- Tax Status
- —
- Color
- Black
FIAT 500
0.9L · Petrol · White
- First Used
- Sep 2014
- MOT Expiry
- 07 Dec 2026
- Tax Status
- —
- Color
- White
NISSAN NV200
1.5L · Diesel · White
- First Used
- Sep 2013
- MOT Expiry
- 11 Mar 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for HA56H Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HA56H Plates
Where was the HA56H number plate series registered?
Vehicles starting with HA56H were assigned to the Bournemouth covering Bournemouth, South West. The first two letters (HA) identify the memory tag assigned by the DVLA.
What registration period is HA56H?
The HA56H age identifier corresponds to vehicles first registered between September 2006 to February 2007.
How can I check the MOT history of a HA56H 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.