XL13M Series Number Plates
UK vehicles registered in Personal Export during March 2013 to August 2013 with registration prefix XL13M.
- Area Office
- Personal Export (Personal Export)
- Release Period
- March 2013 to August 2013
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 93.1%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in XL13M Series(7 of 7 displayed)
LAND ROVER RANGE ROVER SPORT
3.0L · Diesel · Grey
- First Used
- Sep 2018
- MOT Expiry
- 03 Sep 2027
- Tax Status
- —
- Color
- Grey
SUZUKI SWIFT
1.2L · Petrol · Black
- First Used
- Mar 2016
- MOT Expiry
- 09 Aug 2026
- Tax Status
- —
- Color
- Black
VAUXHALL CORSA
1.4L · Petrol · Black
- First Used
- Apr 2019
- MOT Expiry
- 14 Nov 2026
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ E
2.0L · Hybrid Electric (Clean) · Silver
- First Used
- May 2017
- MOT Expiry
- 28 Sep 2026
- Tax Status
- —
- Color
- Silver
VOLKSWAGEN TOUAREG
3.0L · Diesel · White
- First Used
- Mar 2019
- MOT Expiry
- 25 Nov 2026
- Tax Status
- —
- Color
- White
VOLKSWAGEN CADDY
1.6L · Diesel · White
- First Used
- Mar 2013
- MOT Expiry
- 05 Dec 2023
- Tax Status
- —
- Color
- White
BMW 118
1.5L · Petrol · Grey
- First Used
- Mar 2021
- MOT Expiry
- 28 Mar 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for XL13M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about XL13M Plates
Where was the XL13M number plate series registered?
Vehicles starting with XL13M 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 XL13M?
The XL13M age identifier corresponds to vehicles first registered between March 2013 to August 2013.
How can I check the MOT history of a XL13M 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.