OO15O Series Number Plates
UK vehicles registered in Oxford, South East during March 2015 to August 2015 with registration prefix OO15O.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- March 2015 to August 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87.5%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in OO15O Series(7 of 7 displayed)
TOYOTA AYGO
1.0L · Petrol · Silver
- First Used
- Sep 2015
- MOT Expiry
- 07 Jan 2027
- Tax Status
- —
- Color
- Silver
MERCEDES-BENZ SPRINTER 315 PRO CDI
Diesel · White
- First Used
- Oct 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
MERCEDES-BENZ SLC
2.1L · Diesel · Black
- First Used
- Sep 2016
- MOT Expiry
- 21 Sep 2027
- Tax Status
- —
- Color
- Black
BENTLEY CONTINENTAL
4.0L · Petrol · Grey
- First Used
- Mar 2015
- MOT Expiry
- 08 Mar 2027
- Tax Status
- —
- Color
- Grey
KIA SPORTAGE
1.7L · Diesel · White
- First Used
- Nov 2018
- MOT Expiry
- 17 Oct 2026
- Tax Status
- —
- Color
- White
LAND ROVER RANGE ROVER EVOQUE
2.0L · Diesel · Orange
- First Used
- Dec 2015
- MOT Expiry
- 10 Jun 2025
- Tax Status
- —
- Color
- Orange
NISSAN QASHQAI TEKNA E-POWER AUTO
Hybrid Electric (Clean) · Grey
- First Used
- Aug 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for OO15O Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OO15O Plates
Where was the OO15O number plate series registered?
Vehicles starting with OO15O 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 OO15O?
The OO15O age identifier corresponds to vehicles first registered between March 2015 to August 2015.
How can I check the MOT history of a OO15O 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.