XH14N Series Number Plates
UK vehicles registered in Personal Export during March 2014 to August 2014 with registration prefix XH14N.
- Area Office
- Personal Export (Personal Export)
- Release Period
- March 2014 to August 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88.5%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in XH14N Series(7 of 7 displayed)
BMW X2 XDRIVE18D M SPORT X
2.0L · Diesel · White
- First Used
- Sep 2018
- MOT Expiry
- 22 Oct 2026
- Tax Status
- —
- Color
- White
SEAT TARRACO FR SPORT ECOTSI S-A
Petrol · White
- First Used
- Jan 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
AUDI Q5
2.0L · Diesel · Black
- First Used
- Mar 2015
- MOT Expiry
- 11 Dec 2026
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ EQA 250 AMG LINE PREMIUM
Electric · Grey
- First Used
- Sep 2021
- MOT Expiry
- 03 Aug 2027
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN TIGUAN ELEGANCE TSI S-A
1.5L · Petrol · Grey
- First Used
- Jul 2021
- MOT Expiry
- 01 Jan 2027
- Tax Status
- —
- Color
- Grey
FORD FIESTA
1.0L · Petrol · Grey
- First Used
- Feb 2019
- MOT Expiry
- 28 Apr 2027
- Tax Status
- —
- Color
- Grey
SUZUKI SWIFT
1.2L · Petrol · White
- First Used
- Sep 2019
- MOT Expiry
- 03 Apr 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for XH14N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about XH14N Plates
Where was the XH14N number plate series registered?
Vehicles starting with XH14N were assigned to the Personal Export covering Personal Export. The first two letters (XH) identify the memory tag assigned by the DVLA.
What registration period is XH14N?
The XH14N age identifier corresponds to vehicles first registered between March 2014 to August 2014.
How can I check the MOT history of a XH14N 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.