OO53V Series Number Plates
UK vehicles registered in Oxford, South East during September 2003 to February 2004 with registration prefix OO53V.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 76.2%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in OO53V Series(7 of 7 displayed)
SKODA OCTAVIA SE TECH TSI E-TEC S-A
1.0L · Hybrid Electric (Clean) · White
- First Used
- Nov 2021
- MOT Expiry
- 12 May 2027
- Tax Status
- —
- Color
- White
AUDI Q5
2.0L · Petrol · Grey
- First Used
- Nov 2020
- MOT Expiry
- 12 Nov 2026
- Tax Status
- —
- Color
- Grey
BMW M4
3.0L · Petrol · White
- First Used
- Sep 2014
- MOT Expiry
- 21 Dec 2026
- Tax Status
- —
- Color
- White
FORD RANGER WILDTRAK ECOBLUE 4X4 A
Diesel · Grey
- First Used
- May 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
HYUNDAI SANTA FE
2.2L · Diesel · Brown
- First Used
- Apr 2014
- MOT Expiry
- 24 Oct 2026
- Tax Status
- —
- Color
- Brown
RENAULT MASTER MM33 ADVANCE BLUE DCI
Diesel · White
- First Used
- Apr 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
BMW X1
2.0L · Diesel · Blue
- First Used
- Mar 2012
- MOT Expiry
- 01 Apr 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for OO53V Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OO53V Plates
Where was the OO53V number plate series registered?
Vehicles starting with OO53V were assigned to the Oxford covering Oxford, South East. The first two letters (OO) identify the memory tag assigned by the DVLA.
What registration period is OO53V?
The OO53V age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a OO53V 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.