HU57G Series Number Plates
UK vehicles registered in Portsmouth, South East during September 2007 to February 2008 with registration prefix HU57G.
- Area Office
- Portsmouth (Portsmouth, South East)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.2%
Average MOT Pass Rate
Based on 16 historical tests
Common Colors
Active Plates in HU57G Series(7 of 7 displayed)
HUSQVARNA 701 SUPERMOTO 2021
0.7L · Petrol · White
- First Used
- Nov 2021
- MOT Expiry
- 07 Jul 2026
- Tax Status
- —
- Color
- White
MG ZS EXCLUSIVE VTI-TECH
Petrol · Orange
- First Used
- Aug 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Orange
AUDI A6
2.0L · Diesel · White
- First Used
- Jun 2018
- MOT Expiry
- 29 Mar 2027
- Tax Status
- —
- Color
- White
SAAB 9-3
2.0L · Petrol · Blue
- First Used
- Sep 2007
- MOT Expiry
- 21 Apr 2024
- Tax Status
- —
- Color
- Blue
SMART (MCC) FORTWO
1.0L · Petrol · White
- First Used
- Jun 2016
- MOT Expiry
- 08 Oct 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ E
3.0L · Diesel · Silver
- First Used
- Mar 2010
- MOT Expiry
- 28 Nov 2026
- Tax Status
- —
- Color
- Silver
VOLKSWAGEN POLO
1.2L · Petrol · Red
- First Used
- Oct 2012
- MOT Expiry
- 24 Nov 2026
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for HU57G Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HU57G Plates
Where was the HU57G number plate series registered?
Vehicles starting with HU57G were assigned to the Portsmouth covering Portsmouth, South East. The first two letters (HU) identify the memory tag assigned by the DVLA.
What registration period is HU57G?
The HU57G age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a HU57G 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.