OB04A Series Number Plates
UK vehicles registered in Oxford, South East during March 2004 to August 2004 with registration prefix OB04A.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- March 2004 to August 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 89.7%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in OB04A Series(7 of 7 displayed)
MERCEDES-BENZ CLA
1.3L · Petrol · White
- First Used
- Jul 2020
- MOT Expiry
- 28 May 2027
- Tax Status
- —
- Color
- White
TOYOTA RAV4
2.5L · Hybrid Electric (Clean) · Grey
- First Used
- Oct 2016
- MOT Expiry
- 31 Jul 2027
- Tax Status
- Taxed
- Color
- Grey
AUDI A3 SPORT 40 TFSI E S-A
1.4L · HYBRID ELECTRIC · GREY
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- Taxed
- Color
- GREY
AUDI A5
2.0L · Diesel · White
- First Used
- Sep 2011
- MOT Expiry
- 31 Oct 2026
- Tax Status
- Taxed
- Color
- White
VOLKSWAGEN POLO
1.2L · Petrol · Black
- First Used
- Jan 2014
- MOT Expiry
- 25 Nov 2026
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ CLS
3.0L · Diesel · Black
- First Used
- Oct 2014
- MOT Expiry
- 27 Nov 2026
- Tax Status
- —
- Color
- Black
FORD TRANSIT
2.2L · Diesel · White
- First Used
- Apr 2014
- MOT Expiry
- 21 Sep 2027
- Tax Status
- Taxed
- Color
- White
Reliability & Common Problem Guides for OB04A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OB04A Plates
Where was the OB04A number plate series registered?
Vehicles starting with OB04A were assigned to the Oxford covering Oxford, South East. The first two letters (OB) identify the memory tag assigned by the DVLA.
What registration period is OB04A?
The OB04A age identifier corresponds to vehicles first registered between March 2004 to August 2004.
How can I check the MOT history of a OB04A 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.