VA63L Series Number Plates
UK vehicles registered in Worcester, West Midlands during September 2013 to February 2014 with registration prefix VA63L.
- Area Office
- Worcester (Worcester, West Midlands)
- Release Period
- September 2013 to February 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 77.8%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in VA63L Series(7 of 7 displayed)
LAND ROVER RANGE ROVER VELAR
2.0L · Diesel · Black
- First Used
- Sep 2020
- MOT Expiry
- 06 May 2027
- Tax Status
- —
- Color
- Black
NISSAN LEAF
Electric · Red
- First Used
- Sep 2020
- MOT Expiry
- 02 Sep 2026
- Tax Status
- —
- Color
- Red
FORD MONDEO
2.0L · Diesel · Grey
- First Used
- Oct 2017
- MOT Expiry
- 30 Oct 2027
- Tax Status
- —
- Color
- Grey
JEEP COMPASS
2.1L · Diesel · Black
- First Used
- Feb 2014
- MOT Expiry
- 22 Nov 2026
- Tax Status
- —
- Color
- Black
FIAT PANDA
1.2L · Petrol · Red
- First Used
- Feb 2014
- MOT Expiry
- 18 Dec 2026
- Tax Status
- —
- Color
- Red
FIAT PANDA
1.2L · Diesel · Red
- First Used
- Feb 2014
- MOT Expiry
- 18 Feb 2027
- Tax Status
- —
- Color
- Red
TOYOTA C-HR EXCEL HEV CVT
Hybrid Electric (Clean) · Grey
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for VA63L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about VA63L Plates
Where was the VA63L number plate series registered?
Vehicles starting with VA63L were assigned to the Worcester covering Worcester, West Midlands. The first two letters (VA) identify the memory tag assigned by the DVLA.
What registration period is VA63L?
The VA63L age identifier corresponds to vehicles first registered between September 2013 to February 2014.
How can I check the MOT history of a VA63L 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.