HA62L Series Number Plates
UK vehicles registered in Bournemouth, South West during September 2012 to February 2013 with registration prefix HA62L.
- Area Office
- Bournemouth (Bournemouth, South West)
- Release Period
- September 2012 to February 2013
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 86.2%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in HA62L Series(7 of 7 displayed)
MERCEDES-BENZ V
2.1L · Diesel · Black
- First Used
- Mar 2017
- MOT Expiry
- 19 Jul 2027
- Tax Status
- —
- Color
- Black
NISSAN MICRA
0.9L · Petrol · Orange
- First Used
- Sep 2018
- MOT Expiry
- 28 Sep 2026
- Tax Status
- —
- Color
- Orange
BMW M2
3.0L · Petrol · Blue
- First Used
- May 2016
- MOT Expiry
- 30 Dec 2024
- Tax Status
- —
- Color
- Blue
FORD TOURNEO CONNECT
1.5L · Diesel · White
- First Used
- Jul 2016
- MOT Expiry
- 20 Mar 2023
- Tax Status
- —
- Color
- White
HYUNDAI I10
1.0L · Petrol · Black
- First Used
- Apr 2015
- MOT Expiry
- 23 Oct 2026
- Tax Status
- —
- Color
- Black
CHRYSLER GRAND VOYAGER
2.8L · Diesel · Grey
- First Used
- Sep 2013
- MOT Expiry
- 09 Jul 2027
- Tax Status
- —
- Color
- Grey
BMW 420
2.0L · Diesel · White
- First Used
- May 2018
- MOT Expiry
- 21 Jan 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for HA62L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HA62L Plates
Where was the HA62L number plate series registered?
Vehicles starting with HA62L 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 HA62L?
The HA62L age identifier corresponds to vehicles first registered between September 2012 to February 2013.
How can I check the MOT history of a HA62L 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.