OX10T Series Number Plates
UK vehicles registered in Oxford, South East during March 2010 to August 2010 with registration prefix OX10T.
- Area Office
- Oxford (Oxford, South East)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in OX10T Series(7 of 7 displayed)
VOLVO XC40 + B3 MHEV AUTO
Hybrid Electric (Clean) · Silver
- First Used
- Oct 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Silver
FORD TRANSIT CUST 320 MS-RT PHEV A
2.5L · HYBRID ELECTRIC · BLUE
- First Used
- Dec 2025
- MOT Expiry
- —
- Tax Status
- Taxed
- Color
- BLUE
MERCEDES-BENZ EQC 400 SPORT 4MATIC
Electric · Blue
- First Used
- Aug 2020
- MOT Expiry
- 08 Jun 2027
- Tax Status
- —
- Color
- Blue
FORD TRANSIT
2.0L · Diesel · White
- First Used
- May 2017
- MOT Expiry
- 17 Nov 2026
- Tax Status
- —
- Color
- White
FORD C-MAX
1.5L · Diesel · Silver
- First Used
- Oct 2016
- MOT Expiry
- 22 Apr 2026
- Tax Status
- —
- Color
- Silver
RENAULT CLIO
0.9L · Petrol · Red
- First Used
- May 2013
- MOT Expiry
- 22 Jul 2026
- Tax Status
- —
- Color
- Red
MERCEDES-BENZ A
1.3L · PETROL · WHITE
- First Used
- Jul 2020
- MOT Expiry
- 16 May 2027
- Tax Status
- Taxed
- Color
- WHITE
Reliability & Common Problem Guides for OX10T Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about OX10T Plates
Where was the OX10T number plate series registered?
Vehicles starting with OX10T were assigned to the Oxford covering Oxford, South East. The first two letters (OX) identify the memory tag assigned by the DVLA.
What registration period is OX10T?
The OX10T age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a OX10T 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.