XL02N Series Number Plates
UK vehicles registered in Personal Export during March 2002 to August 2002 with registration prefix XL02N.
- Area Office
- Personal Export (Personal Export)
- Release Period
- March 2002 to August 2002
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 72.7%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in XL02N Series(7 of 7 displayed)
FORD ECOSPORT
1.0L · Petrol · Grey
- First Used
- Sep 2020
- MOT Expiry
- 03 Oct 2026
- Tax Status
- —
- Color
- Grey
HYUNDAI IX35
2.0L · Diesel · White
- First Used
- Dec 2014
- MOT Expiry
- 18 Dec 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ E
1.9L · Diesel · Red
- First Used
- Oct 2017
- MOT Expiry
- 03 Oct 2027
- Tax Status
- —
- Color
- Red
VOLKSWAGEN SCIROCCO
2.0L · Diesel · Blue
- First Used
- May 2011
- MOT Expiry
- 17 Aug 2026
- Tax Status
- —
- Color
- Blue
VAUXHALL GRANDLAND ULTIMATE EV
Electric · Black
- First Used
- Nov 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
FORD FOCUS ST-LINE X MHEV
Hybrid Electric (Clean) · Grey
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
RENAULT TRAFIC SL27 B-NESS ENERGY DCI
1.6L · HEAVY OIL · WHITE
- First Used
- Dec 2017
- MOT Expiry
- 16 Aug 2026
- Tax Status
- —
- Color
- WHITE
Reliability & Common Problem Guides for XL02N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about XL02N Plates
Where was the XL02N number plate series registered?
Vehicles starting with XL02N were assigned to the Personal Export covering Personal Export. The first two letters (XL) identify the memory tag assigned by the DVLA.
What registration period is XL02N?
The XL02N age identifier corresponds to vehicles first registered between March 2002 to August 2002.
How can I check the MOT history of a XL02N 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.