HE52S Series Number Plates
UK vehicles registered in Bournemouth, South West during September 2002 to February 2003 with registration prefix HE52S.
- Area Office
- Bournemouth (Bournemouth, South West)
- Release Period
- September 2002 to February 2003
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.1%
Average MOT Pass Rate
Based on 28 historical tests
Common Colors
Active Plates in HE52S Series(7 of 7 displayed)
NISSAN 370 Z
3.7L · Petrol · Black
- First Used
- Sep 2009
- MOT Expiry
- 09 Sep 2026
- Tax Status
- —
- Color
- Black
TESLA MODEL Y LONG RANGE AWD
Electric · Red
- First Used
- Mar 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
FORD KUGA
2.0L · Diesel · Black
- First Used
- Mar 2018
- MOT Expiry
- 14 Mar 2027
- Tax Status
- —
- Color
- Black
HONDA ACCORD
1.8L · Petrol · Silver
- First Used
- May 2003
- MOT Expiry
- 14 Dec 2026
- Tax Status
- —
- Color
- Silver
VOLVO XC60
2.0L · Diesel · Black
- First Used
- Oct 2016
- MOT Expiry
- 07 May 2026
- Tax Status
- —
- Color
- Black
VOLKSWAGEN TRANSPORTER
2.0L · Diesel · Grey
- First Used
- Mar 2019
- MOT Expiry
- 10 Mar 2027
- Tax Status
- —
- Color
- Grey
SKODA SUPERB
2.0L · Diesel · Black
- First Used
- Sep 2014
- MOT Expiry
- 01 Oct 2026
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for HE52S Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HE52S Plates
Where was the HE52S number plate series registered?
Vehicles starting with HE52S were assigned to the Bournemouth covering Bournemouth, South West. The first two letters (HE) identify the memory tag assigned by the DVLA.
What registration period is HE52S?
The HE52S age identifier corresponds to vehicles first registered between September 2002 to February 2003.
How can I check the MOT history of a HE52S 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.