PW14J Series Number Plates
UK vehicles registered in Carlisle, Cumbria during March 2014 to August 2014 with registration prefix PW14J.
- Area Office
- Carlisle (Carlisle, Cumbria)
- Release Period
- March 2014 to August 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87.5%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in PW14J Series(7 of 7 displayed)
VOLKSWAGEN TIGUAN ELEGANCE ETSI S-A
Hybrid Electric (Clean) · Black
- First Used
- Nov 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
PIAGGIO VESPA
0.1L · Petrol · White
- First Used
- Aug 2015
- MOT Expiry
- 03 Jul 2027
- Tax Status
- —
- Color
- White
PEUGEOT BOXER
2.2L · Diesel · Gold
- First Used
- Mar 2014
- MOT Expiry
- 02 Sep 2026
- Tax Status
- —
- Color
- Gold
NISSAN JUKE
1.6L · Petrol · White
- First Used
- Mar 2014
- MOT Expiry
- 20 Mar 2027
- Tax Status
- —
- Color
- White
TOYOTA HILUX
3.0L · Diesel · Grey
- First Used
- Jun 2014
- MOT Expiry
- 13 Sep 2027
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN GOLF
1.4L · Hybrid Electric (Clean) · White
- First Used
- Nov 2017
- MOT Expiry
- 09 Jan 2027
- Tax Status
- —
- Color
- White
VOLKSWAGEN TIGUAN R-LINE TSI S-A
1.5L · Petrol · BLACK
- First Used
- Sep 2021
- MOT Expiry
- 15 Sep 2027
- Tax Status
- —
- Color
- BLACK
Reliability & Common Problem Guides for PW14J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PW14J Plates
Where was the PW14J number plate series registered?
Vehicles starting with PW14J 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 PW14J?
The PW14J age identifier corresponds to vehicles first registered between March 2014 to August 2014.
How can I check the MOT history of a PW14J 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.