XO10K Series Number Plates
UK vehicles registered in Personal Export during March 2010 to August 2010 with registration prefix XO10K.
- Area Office
- Personal Export (Personal Export)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87.5%
Average MOT Pass Rate
Based on 16 historical tests
Common Colors
Active Plates in XO10K Series(7 of 7 displayed)
MAZDA 3
2.0L · PETROL · WHITE
- First Used
- Sep 2022
- MOT Expiry
- 10 Sep 2026
- Tax Status
- Taxed
- Color
- WHITE
AUDI A1
1.5L · PETROL · WHITE
- First Used
- Mar 2019
- MOT Expiry
- 15 Apr 2027
- Tax Status
- Taxed
- Color
- WHITE
MERCEDES-BENZ A 200 AMG LNE EXECUTIVE MHEV A
Hybrid Electric (Clean) · Black
- First Used
- Jan 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
BMW X1 SDRIVE 20I M SPORT MHEV A
Hybrid Electric (Clean) · Black
- First Used
- Jul 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
RENAULT TRAFIC
1.6L · Diesel · Black
- First Used
- Jan 2016
- MOT Expiry
- 21 Jul 2027
- Tax Status
- —
- Color
- Black
FORD FIESTA
1.2L · Petrol · White
- First Used
- Dec 2014
- MOT Expiry
- 17 Dec 2026
- Tax Status
- —
- Color
- White
BMW 230I M SPORT AUTO
Petrol · Grey
- First Used
- Jan 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for XO10K Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about XO10K Plates
Where was the XO10K number plate series registered?
Vehicles starting with XO10K were assigned to the Personal Export covering Personal Export. The first two letters (XO) identify the memory tag assigned by the DVLA.
What registration period is XO10K?
The XO10K age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a XO10K 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.