OR03E Series Number Plates
UK vehicles registered in Oxford, South East during March 2003 to August 2003 with registration prefix OR03E.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- March 2003 to August 2003
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in OR03E Series(7 of 7 displayed)
PEUGEOT PARTNER
1.6L · Diesel · White
- First Used
- Sep 2013
- MOT Expiry
- 29 Sep 2026
- Tax Status
- —
- Color
- White
PEUGEOT BOXER
2.0L · Diesel · White
- First Used
- May 2018
- MOT Expiry
- 23 May 2027
- Tax Status
- —
- Color
- White
RENAULT MEGANE TECHNO EV
Electric · Grey
- First Used
- Nov 2022
- MOT Expiry
- 01 Nov 2026
- Tax Status
- —
- Color
- Grey
LAND ROVER RANGE ROVER
5.0L · Petrol · Black
- First Used
- Jul 2019
- MOT Expiry
- 10 Apr 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ CLS
5.5L · Petrol · White
- First Used
- Jan 2012
- MOT Expiry
- 08 Apr 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ VITO
2.1L · Diesel · Black
- First Used
- Sep 2016
- MOT Expiry
- 15 May 2027
- Tax Status
- —
- Color
- Black
FORD FIESTA ST-LINE EDITION TURBO
1.0L · Petrol · White
- First Used
- May 2021
- MOT Expiry
- 27 May 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for OR03E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OR03E Plates
Where was the OR03E number plate series registered?
Vehicles starting with OR03E were assigned to the Oxford covering Oxford, South East. The first two letters (OR) identify the memory tag assigned by the DVLA.
What registration period is OR03E?
The OR03E age identifier corresponds to vehicles first registered between March 2003 to August 2003.
How can I check the MOT history of a OR03E 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.