XS10U Series Number Plates
UK vehicles registered in Personal Export during March 2010 to August 2010 with registration prefix XS10U.
- Area Office
- Personal Export (Personal Export)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88%
Average MOT Pass Rate
Based on 25 historical tests
Common Colors
Active Plates in XS10U Series(7 of 7 displayed)
VOLKSWAGEN POLO
1.4L · Petrol · Grey
- First Used
- Sep 2010
- MOT Expiry
- 25 Sep 2026
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ EQA 250+ AMG LINE
Electric · Black
- First Used
- Mar 2023
- MOT Expiry
- 02 Jul 2027
- Tax Status
- Taxed
- Color
- Black
MAZDA CX-5 KURO EDITION
2.0L · Petrol · Grey
- First Used
- Aug 2021
- MOT Expiry
- 27 Aug 2026
- Tax Status
- —
- Color
- Grey
SKODA KAROQ
2.0L · Petrol · Black
- First Used
- Oct 2019
- MOT Expiry
- 19 Sep 2026
- Tax Status
- —
- Color
- Black
CUPRA FORMENTOR VZ2 TSI 4DRIVE S-A
2.0L · Petrol · Black
- First Used
- Dec 2020
- MOT Expiry
- 17 Dec 2026
- Tax Status
- —
- Color
- Black
VAUXHALL CORSA
1.4L · Petrol · Blue
- First Used
- Nov 2018
- MOT Expiry
- 13 Jul 2027
- Tax Status
- —
- Color
- Blue
SKODA FABIA
1.4L · Petrol · Green
- First Used
- Nov 2010
- MOT Expiry
- 21 May 2027
- Tax Status
- —
- Color
- Green
Reliability & Common Problem Guides for XS10U Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about XS10U Plates
Where was the XS10U number plate series registered?
Vehicles starting with XS10U were assigned to the Personal Export covering Personal Export. The first two letters (XS) identify the memory tag assigned by the DVLA.
What registration period is XS10U?
The XS10U age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a XS10U 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.