XJ10H Series Number Plates
UK vehicles registered in Personal Export during March 2010 to August 2010 with registration prefix XJ10H.
- Area Office
- Personal Export (Personal Export)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 93.8%
Average MOT Pass Rate
Based on 32 historical tests
Common Colors
Active Plates in XJ10H Series(7 of 7 displayed)
FORD KUGA
2.0L · Diesel · White
- First Used
- Dec 2017
- MOT Expiry
- 01 Jan 2027
- Tax Status
- —
- Color
- White
LAND ROVER RANGE ROVER EVOQUE
2.2L · Diesel · Purple
- First Used
- Mar 2015
- MOT Expiry
- 31 May 2027
- Tax Status
- —
- Color
- Purple
JAGUAR XJ
3.0L · Diesel · Grey
- First Used
- Mar 2011
- MOT Expiry
- 13 Jul 2027
- Tax Status
- —
- Color
- Grey
BMW 3 SERIES
2.0L · Diesel · White
- First Used
- Jun 2013
- MOT Expiry
- 03 Dec 2026
- Tax Status
- —
- Color
- White
NISSAN QASHQAI TEKNA DIG-T MHEV CVT
1.3L · Hybrid Electric (Clean) · Red
- First Used
- Apr 2022
- MOT Expiry
- 13 Apr 2027
- Tax Status
- —
- Color
- Red
VOLKSWAGEN GOLF
2.0L · Diesel · White
- First Used
- Apr 2018
- MOT Expiry
- 28 Apr 2027
- Tax Status
- —
- Color
- White
SEAT LEON
1.6L · Diesel · White
- First Used
- Sep 2014
- MOT Expiry
- 28 Jan 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for XJ10H Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about XJ10H Plates
Where was the XJ10H number plate series registered?
Vehicles starting with XJ10H were assigned to the Personal Export covering Personal Export. The first two letters (XJ) identify the memory tag assigned by the DVLA.
What registration period is XJ10H?
The XJ10H age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a XJ10H 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.