PW60J Series Number Plates
UK vehicles registered in Carlisle, Cumbria during September 2010 to February 2011 with registration prefix PW60J.
- Area Office
- Carlisle (Carlisle, Cumbria)
- Release Period
- September 2010 to February 2011
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in PW60J Series(7 of 7 displayed)
MINI COUNTRYMAN
2.0L · Petrol · Blue
- First Used
- Apr 2018
- MOT Expiry
- 30 Jun 2027
- Tax Status
- —
- Color
- Blue
BMW M240
3.0L · Petrol · Blue
- First Used
- Mar 2018
- MOT Expiry
- 10 Apr 2027
- Tax Status
- —
- Color
- Blue
KIA SPORTAGE GT-LINE HEV AUTO
Hybrid Electric (Clean) · Blue
- First Used
- Feb 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
MINI MINI COOPER SE SPORT ELECTRIC
Electric · Grey
- First Used
- Apr 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
JAGUAR XF
2.2L · Diesel · Silver
- First Used
- Jun 2014
- MOT Expiry
- 03 Oct 2026
- Tax Status
- —
- Color
- Silver
LAND ROVER RANGE ROVER EVOQUE
2.0L · Diesel · White
- First Used
- Dec 2016
- MOT Expiry
- 27 Jan 2027
- Tax Status
- —
- Color
- White
KIA SPORTAGE
1.6L · Petrol · White
- First Used
- Apr 2021
- MOT Expiry
- 12 Apr 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for PW60J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PW60J Plates
Where was the PW60J number plate series registered?
Vehicles starting with PW60J were assigned to the Carlisle covering Carlisle, Cumbria. The first two letters (PW) identify the memory tag assigned by the DVLA.
What registration period is PW60J?
The PW60J age identifier corresponds to vehicles first registered between September 2010 to February 2011.
How can I check the MOT history of a PW60J 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.