OC53A Series Number Plates
UK vehicles registered in Oxford, South East during September 2003 to February 2004 with registration prefix OC53A.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84.4%
Average MOT Pass Rate
Based on 32 historical tests
Common Colors
Active Plates in OC53A Series(7 of 7 displayed)
LAND ROVER RANGE ROVER EVOQUE
2.0L · DIESEL · RED
- First Used
- Jan 2016
- MOT Expiry
- 25 Jan 2027
- Tax Status
- Taxed
- Color
- RED
NISSAN NAVARA
2.5L · Diesel · Silver
- First Used
- Aug 2010
- MOT Expiry
- 24 Apr 2025
- Tax Status
- SORN
- Color
- Silver
FORD KUGA
2.0L · DIESEL · RED
- First Used
- Mar 2015
- MOT Expiry
- 06 Sep 2027
- Tax Status
- Taxed
- Color
- RED
HYUNDAI I20
1.2L · Petrol · White
- First Used
- Mar 2017
- MOT Expiry
- 12 Mar 2027
- Tax Status
- Taxed
- Color
- White
MERCEDES-BENZ A-CLASS
2.1L · Diesel · Grey
- First Used
- Jul 2013
- MOT Expiry
- 31 Aug 2027
- Tax Status
- Taxed
- Color
- Grey
BMW 218
1.5L · Petrol · Pink
- First Used
- May 2018
- MOT Expiry
- 01 Jul 2027
- Tax Status
- —
- Color
- Pink
MERCEDES-BENZ GLE
2.9L · Diesel · Black
- First Used
- May 2021
- MOT Expiry
- 08 Apr 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for OC53A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OC53A Plates
Where was the OC53A number plate series registered?
Vehicles starting with OC53A were assigned to the Oxford covering Oxford, South East. The first two letters (OC) identify the memory tag assigned by the DVLA.
What registration period is OC53A?
The OC53A age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a OC53A 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.