MP02F Series Number Plates
UK vehicles registered in Manchester & Merseyside during March 2002 to August 2002 with registration prefix MP02F.
- Area Office
- Manchester & Merseyside (Manchester & Merseyside)
- Release Period
- March 2002 to August 2002
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 86.2%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in MP02F Series(7 of 7 displayed)
MAZDA MX-5
1.8L · Petrol · Silver
- First Used
- Sep 2010
- MOT Expiry
- 02 Apr 2027
- Tax Status
- —
- Color
- Silver
KIA SPORTAGE
1.7L · Diesel · White
- First Used
- Jul 2015
- MOT Expiry
- 10 Feb 2027
- Tax Status
- —
- Color
- White
FORD KUGA
2.0L · Diesel · Green
- First Used
- Apr 2013
- MOT Expiry
- 07 Aug 2026
- Tax Status
- —
- Color
- Green
BMW 6 SERIES
3.0L · Diesel · Grey
- First Used
- Sep 2018
- MOT Expiry
- 28 Sep 2026
- Tax Status
- —
- Color
- Grey
JAGUAR X-TYPE
2.1L · Petrol · Silver
- First Used
- May 2002
- MOT Expiry
- 14 Dec 2024
- Tax Status
- —
- Color
- Silver
CUPRA FORMENTOR V1 TSI
1.5L · Petrol · Black
- First Used
- May 2021
- MOT Expiry
- 10 May 2026
- Tax Status
- —
- Color
- Black
SEAT LEON
2.0L · Diesel · Yellow
- First Used
- Sep 2006
- MOT Expiry
- 11 May 2025
- Tax Status
- —
- Color
- Yellow
Reliability & Common Problem Guides for MP02F Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about MP02F Plates
Where was the MP02F number plate series registered?
Vehicles starting with MP02F were assigned to the Manchester & Merseyside covering Manchester & Merseyside. The first two letters (MP) identify the memory tag assigned by the DVLA.
What registration period is MP02F?
The MP02F age identifier corresponds to vehicles first registered between March 2002 to August 2002.
How can I check the MOT history of a MP02F 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.