PM65M Series Number Plates
UK vehicles registered in Preston, North West during September 2015 to February 2016 with registration prefix PM65M.
- Area Office
- Preston (Preston, North West)
- Release Period
- September 2015 to February 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 93.5%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in PM65M Series(7 of 7 displayed)
SKODA OCTAVIA
1.4L · Petrol · White
- First Used
- Apr 2018
- MOT Expiry
- 15 Nov 2026
- Tax Status
- —
- Color
- White
FORD ECOSPORT
1.0L · Petrol · Black
- First Used
- Dec 2019
- MOT Expiry
- 22 Jul 2027
- Tax Status
- —
- Color
- Black
VAUXHALL INSIGNIA
2.0L · Diesel · Silver
- First Used
- Oct 2015
- MOT Expiry
- 29 Oct 2026
- Tax Status
- —
- Color
- Silver
TOYOTA PRIUS
1.8L · Hybrid Electric (Clean) · Grey
- First Used
- Nov 2015
- MOT Expiry
- 23 Nov 2026
- Tax Status
- —
- Color
- Grey
ROYAL ALLOY TG 125 LC
0.1L · Petrol · Red
- First Used
- Sep 2021
- MOT Expiry
- 24 Feb 2027
- Tax Status
- —
- Color
- Red
VAUXHALL CASCADA
2.0L · Diesel · White
- First Used
- Jan 2016
- MOT Expiry
- 06 Apr 2027
- Tax Status
- —
- Color
- White
FORD MUSTANG
5.0L · Petrol · Blue
- First Used
- Mar 2017
- MOT Expiry
- 23 Mar 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for PM65M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PM65M Plates
Where was the PM65M number plate series registered?
Vehicles starting with PM65M were assigned to the Preston covering Preston, North West. The first two letters (PM) identify the memory tag assigned by the DVLA.
What registration period is PM65M?
The PM65M age identifier corresponds to vehicles first registered between September 2015 to February 2016.
How can I check the MOT history of a PM65M 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.