OL15S Series Number Plates
UK vehicles registered in Oxford, South East during March 2015 to August 2015 with registration prefix OL15S.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- March 2015 to August 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.6%
Average MOT Pass Rate
Based on 23 historical tests
Common Colors
Active Plates in OL15S Series(7 of 7 displayed)
FIAT 500 STAR MHEV
1.0L · Petrol · Pink
- First Used
- Jul 2020
- MOT Expiry
- 30 Jul 2027
- Tax Status
- —
- Color
- Pink
SKODA ENYAQ IV 80X SPORTLINE
Electric · Black
- First Used
- Mar 2023
- MOT Expiry
- 20 Jan 2027
- Tax Status
- —
- Color
- Black
MAZDA CX-5
2.2L · Diesel · Red
- First Used
- Mar 2016
- MOT Expiry
- 16 Feb 2027
- Tax Status
- —
- Color
- Red
MERCEDES-BENZ A-CLASS
2.1L · Diesel · Blue
- First Used
- Nov 2017
- MOT Expiry
- 28 Dec 2026
- Tax Status
- —
- Color
- Blue
AUDI A1
1.6L · Diesel · Blue
- First Used
- May 2015
- MOT Expiry
- 19 Aug 2026
- Tax Status
- —
- Color
- Blue
FORD RANGER
3.2L · Diesel · Black
- First Used
- Sep 2018
- MOT Expiry
- 22 Dec 2026
- Tax Status
- —
- Color
- Black
NISSAN QASHQAI NCONNCTA DIGT MHEV CVT
1.3L · Hybrid Electric (Clean) · Black
- First Used
- Mar 2023
- MOT Expiry
- 14 May 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for OL15S Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OL15S Plates
Where was the OL15S number plate series registered?
Vehicles starting with OL15S were assigned to the Oxford covering Oxford, South East. The first two letters (OL) identify the memory tag assigned by the DVLA.
What registration period is OL15S?
The OL15S age identifier corresponds to vehicles first registered between March 2015 to August 2015.
How can I check the MOT history of a OL15S 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.