PW57W Series Number Plates
UK vehicles registered in Carlisle, Cumbria during September 2007 to February 2008 with registration prefix PW57W.
- Area Office
- Carlisle (Carlisle, Cumbria)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 72.7%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in PW57W Series(7 of 7 displayed)
FORD FOCUS
1.6L · Diesel · Blue
- First Used
- Feb 2014
- MOT Expiry
- 02 Jun 2027
- Tax Status
- —
- Color
- Blue
KIA SPORTAGE
1.6L · Petrol · Silver
- First Used
- Jan 2021
- MOT Expiry
- 16 Aug 2027
- Tax Status
- —
- Color
- Silver
MG ZS TROPHY HEV AUTO
Hybrid Electric (Clean) · Blue
- First Used
- Oct 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
VAUXHALL MOKKA ULTIMATE TURBO AUTO
Petrol · Black
- First Used
- Apr 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
BMW 520
2.0L · Diesel · Black
- First Used
- Jul 2010
- MOT Expiry
- 04 Feb 2027
- Tax Status
- —
- Color
- Black
PEUGEOT 206
1.4L · Diesel · Black
- First Used
- Sep 2007
- MOT Expiry
- 13 Jul 2026
- Tax Status
- —
- Color
- Black
HYUNDAI KONA PREMIUM T-GDI MHEV
1.0L · Hybrid Electric (Clean) · Blue
- First Used
- Aug 2021
- MOT Expiry
- 23 Aug 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for PW57W Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PW57W Plates
Where was the PW57W number plate series registered?
Vehicles starting with PW57W 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 PW57W?
The PW57W age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a PW57W 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.