OR54N Series Number Plates
UK vehicles registered in Oxford, South East during September 2004 to February 2005 with registration prefix OR54N.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- September 2004 to February 2005
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 86.2%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in OR54N Series(7 of 7 displayed)
AUDI A4
4.2L · Petrol · Black
- First Used
- Dec 2014
- MOT Expiry
- 04 Feb 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ HYMER
2.1L · Diesel · Grey
- First Used
- Apr 2022
- MOT Expiry
- 06 Apr 2027
- Tax Status
- —
- Color
- Grey
PEUGEOT PREMIER
1.6L · Diesel · White
- First Used
- Oct 2014
- MOT Expiry
- 13 Oct 2026
- Tax Status
- —
- Color
- White
MINI COOPER S
1.6L · Petrol · Silver
- First Used
- Mar 2013
- MOT Expiry
- 01 Jun 2027
- Tax Status
- —
- Color
- Silver
SKODA OCTAVIA
2.0L · Diesel · Grey
- First Used
- May 2017
- MOT Expiry
- 30 Nov 2026
- Tax Status
- —
- Color
- Grey
LAND ROVER R ROVER SPORT HSE DYN D MHEV A
3.0L · Diesel · Black
- First Used
- Dec 2021
- MOT Expiry
- 10 Dec 2026
- Tax Status
- —
- Color
- Black
VOLVO XC90
2.0L · Diesel · Black
- First Used
- Nov 2017
- MOT Expiry
- 13 Dec 2026
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for OR54N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OR54N Plates
Where was the OR54N number plate series registered?
Vehicles starting with OR54N 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 OR54N?
The OR54N age identifier corresponds to vehicles first registered between September 2004 to February 2005.
How can I check the MOT history of a OR54N 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.