PT14M Series Number Plates
UK vehicles registered in Preston, North West during March 2014 to August 2014 with registration prefix PT14M.
- Area Office
- Preston (Preston, North West)
- Release Period
- March 2014 to August 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 95.8%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in PT14M Series(7 of 7 displayed)
AUDI Q7
3.0L · Diesel · Grey
- First Used
- Mar 2019
- MOT Expiry
- 01 May 2027
- Tax Status
- —
- Color
- Grey
RENAULT CLIO TECHNO TCE
Petrol · Grey
- First Used
- Nov 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ C
2.0L · Hybrid Electric (Clean) · Silver
- First Used
- Mar 2017
- MOT Expiry
- 16 May 2027
- Tax Status
- —
- Color
- Silver
PEUGEOT PARTNER
1.6L · Diesel · White
- First Used
- Feb 2017
- MOT Expiry
- 20 Jan 2027
- Tax Status
- —
- Color
- White
AUDI A5
2.0L · Diesel · Black
- First Used
- Jun 2018
- MOT Expiry
- 11 Jun 2027
- Tax Status
- —
- Color
- Black
SUZUKI IGNIS SZ5 DUALJET MHEV CVT
1.2L · Hybrid Electric (Clean) · Brown
- First Used
- Dec 2023
- MOT Expiry
- 01 Jul 2027
- Tax Status
- —
- Color
- Brown
MERCEDES-BENZ A-CLASS
1.5L · Diesel · Grey
- First Used
- Apr 2016
- MOT Expiry
- 16 Oct 2026
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for PT14M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PT14M Plates
Where was the PT14M number plate series registered?
Vehicles starting with PT14M were assigned to the Preston covering Preston, North West. The first two letters (PT) identify the memory tag assigned by the DVLA.
What registration period is PT14M?
The PT14M age identifier corresponds to vehicles first registered between March 2014 to August 2014.
How can I check the MOT history of a PT14M 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.