OL02E Series Number Plates
UK vehicles registered in Oxford, South East during March 2002 to August 2002 with registration prefix OL02E.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- March 2002 to August 2002
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 85.2%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in OL02E Series(7 of 7 displayed)
MERCEDES-BENZ GLE
1.9L · Diesel · Silver
- First Used
- Mar 2020
- MOT Expiry
- 29 Oct 2026
- Tax Status
- —
- Color
- Silver
AUDI A4
2.0L · Diesel · White
- First Used
- Sep 2011
- MOT Expiry
- 17 Jan 2027
- Tax Status
- —
- Color
- White
TOYOTA AYGO
1.0L · Petrol · Blue
- First Used
- Sep 2017
- MOT Expiry
- 16 Feb 2027
- Tax Status
- —
- Color
- Blue
VAUXHALL ADAM
1.2L · Petrol · White
- First Used
- Mar 2017
- MOT Expiry
- 26 May 2027
- Tax Status
- —
- Color
- White
TESLA MODEL Y RWD
Electric · White
- First Used
- May 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
LAND ROVER RANGE ROVER SPORT
3.0L · Diesel · Grey
- First Used
- Mar 2012
- MOT Expiry
- 21 Jul 2026
- Tax Status
- —
- Color
- Grey
LAND ROVER RROVER EVOQUE R-DYN SE P300E A
1.5L · Hybrid Electric (Clean) · Black
- First Used
- Jan 2022
- MOT Expiry
- 19 Feb 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for OL02E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OL02E Plates
Where was the OL02E number plate series registered?
Vehicles starting with OL02E 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 OL02E?
The OL02E age identifier corresponds to vehicles first registered between March 2002 to August 2002.
How can I check the MOT history of a OL02E 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.