JM63L Series Number Plates
UK vehicles during September 2013 to February 2014 with registration prefix JM63L.
- Area Office
- DVLA Region (JM)
- Release Period
- September 2013 to February 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 76.9%
Average MOT Pass Rate
Based on 13 historical tests
Common Colors
Active Plates in JM63L Series(7 of 7 displayed)
TOYOTA YARIS CROSS EXCEL HEV AUTO
1.5L · HYBRID ELECTRIC · GREY
- First Used
- Oct 2022
- MOT Expiry
- 30 Oct 2026
- Tax Status
- Taxed
- Color
- GREY
MERCEDES-BENZ A-CLASS
2.1L · Diesel · Blue
- First Used
- Mar 2014
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- Blue
KIA STONIC GT-LINE S MHEV S-A
Hybrid Electric (Clean) · Blue
- First Used
- Feb 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
AUDI Q3
2.0L · Diesel · White
- First Used
- Sep 2013
- MOT Expiry
- 13 Mar 2024
- Tax Status
- —
- Color
- White
HYUNDAI IX35
1.7L · Diesel · Black
- First Used
- Sep 2013
- MOT Expiry
- 27 Oct 2026
- Tax Status
- —
- Color
- Black
MITSUBISHI L200
2.4L · Diesel · Grey
- First Used
- Apr 2017
- MOT Expiry
- 08 Oct 2026
- Tax Status
- —
- Color
- Grey
JEEP COMPASS LIMITED PHEV EAWD AUTO
Hybrid Electric (Clean) · Black
- First Used
- Mar 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for JM63L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JM63L Plates
Where was the JM63L number plate series registered?
Vehicles starting with JM63L were assigned to the DVLA regional office covering the UK. The first two letters (JM) identify the memory tag assigned by the DVLA.
What registration period is JM63L?
The JM63L age identifier corresponds to vehicles first registered between September 2013 to February 2014.
How can I check the MOT history of a JM63L 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.