WW09J Series Number Plates
UK vehicles registered in Bristol, South West during March 2009 to August 2009 with registration prefix WW09J.
- Area Office
- Bristol (Bristol, South West)
- Release Period
- March 2009 to August 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 78.9%
Average MOT Pass Rate
Based on 19 historical tests
Common Colors
Active Plates in WW09J Series(7 of 7 displayed)
SUZUKI SX4
1.0L · Petrol · Silver
- First Used
- Jul 2018
- MOT Expiry
- 24 Nov 2026
- Tax Status
- —
- Color
- Silver
FORD PUMA ST-LINE X MHEV
Hybrid Electric (Clean) · Black
- First Used
- Jul 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
PEUGEOT PARTNER
1.6L · Diesel · White
- First Used
- Mar 2016
- MOT Expiry
- 06 Nov 2026
- Tax Status
- —
- Color
- White
FORD FIESTA
1.2L · Petrol · Red
- First Used
- Mar 2014
- MOT Expiry
- 02 Apr 2027
- Tax Status
- —
- Color
- Red
VOLKSWAGEN T-ROC DESIGN TSI EVO S-A
1.5L · Petrol · Silver
- First Used
- Oct 2020
- MOT Expiry
- 27 Oct 2026
- Tax Status
- —
- Color
- Silver
VOLVO C30
2.0L · Diesel · White
- First Used
- Mar 2009
- MOT Expiry
- 26 May 2027
- Tax Status
- —
- Color
- White
AUDI A3 SPORT 30 TFSI
1.0L · Petrol · Silver
- First Used
- May 2022
- MOT Expiry
- 25 May 2027
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for WW09J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about WW09J Plates
Where was the WW09J number plate series registered?
Vehicles starting with WW09J were assigned to the Bristol covering Bristol, South West. The first two letters (WW) identify the memory tag assigned by the DVLA.
What registration period is WW09J?
The WW09J age identifier corresponds to vehicles first registered between March 2009 to August 2009.
How can I check the MOT history of a WW09J 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.