PW02F Series Number Plates
UK vehicles registered in Carlisle, Cumbria during March 2002 to August 2002 with registration prefix PW02F.
- Area Office
- Carlisle (Carlisle, Cumbria)
- Release Period
- March 2002 to August 2002
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 100%
Average MOT Pass Rate
Based on 18 historical tests
Common Colors
Active Plates in PW02F Series(7 of 7 displayed)
KIA CEED 2
Petrol · White
- First Used
- Jul 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
KIA SPORTAGE
1.6L · Petrol · White
- First Used
- Jun 2016
- MOT Expiry
- 25 May 2027
- Tax Status
- —
- Color
- White
FORD ECOSPORT
1.0L · Petrol · Grey
- First Used
- Nov 2019
- MOT Expiry
- 10 Jul 2027
- Tax Status
- —
- Color
- Grey
DUCATI 1299 PANIGALE R FINAL EDITION
1.3L · Petrol · Multi-colour
- First Used
- May 2021
- MOT Expiry
- 16 Jul 2026
- Tax Status
- —
- Color
- Multi-colour
TOYOTA RAV4
2.0L · Petrol · Blue
- First Used
- Apr 2002
- MOT Expiry
- 20 Oct 2026
- Tax Status
- —
- Color
- Blue
MITSUBISHI ECLIPSE CROSS EXCEED 4X4 CVT
1.5L · Petrol · Black
- First Used
- Sep 2020
- MOT Expiry
- 14 Sep 2026
- Tax Status
- —
- Color
- Black
BMW 225E M SPORT AUTO
Hybrid Electric (Clean) · Black
- First Used
- Jan 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for PW02F Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PW02F Plates
Where was the PW02F number plate series registered?
Vehicles starting with PW02F 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 PW02F?
The PW02F age identifier corresponds to vehicles first registered between March 2002 to August 2002.
How can I check the MOT history of a PW02F 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.