HH09G Series Number Plates
UK vehicles registered in Bournemouth, South West during March 2009 to August 2009 with registration prefix HH09G.
- Area Office
- Bournemouth (Bournemouth, South West)
- Release Period
- March 2009 to August 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87.5%
Average MOT Pass Rate
Based on 16 historical tests
Common Colors
Active Plates in HH09G Series(7 of 7 displayed)
MERCEDES-BENZ A-CLASS
1.5L · Diesel · Black
- First Used
- May 2018
- MOT Expiry
- 28 Jul 2026
- Tax Status
- —
- Color
- Black
FORD TRANSIT
2.0L · Diesel · Silver
- First Used
- Mar 2017
- MOT Expiry
- 01 Mar 2027
- Tax Status
- —
- Color
- Silver
PEUGEOT EXPERT
2.0L · Diesel · White
- First Used
- Sep 2013
- MOT Expiry
- 28 Jul 2027
- Tax Status
- —
- Color
- White
DACIA BIGSTER JOURNEY HEV AUTO
Hybrid Electric (Clean) · Blue
- First Used
- Apr 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
BMW F 450 GS
Petrol · Red
- First Used
- Jun 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
LAND ROVER DEFENDER FIRST EDITION D AUTO
2.0L · Diesel · Green
- First Used
- Sep 2020
- MOT Expiry
- 07 Jun 2027
- Tax Status
- —
- Color
- Green
FORD FOCUS
1.0L · Petrol · Blue
- First Used
- Oct 2019
- MOT Expiry
- 02 Feb 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for HH09G Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HH09G Plates
Where was the HH09G number plate series registered?
Vehicles starting with HH09G were assigned to the Bournemouth covering Bournemouth, South West. The first two letters (HH) identify the memory tag assigned by the DVLA.
What registration period is HH09G?
The HH09G age identifier corresponds to vehicles first registered between March 2009 to August 2009.
How can I check the MOT history of a HH09G 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.