PA16R Series Number Plates
UK vehicles registered in Preston, North West during March 2016 to August 2016 with registration prefix PA16R.
- Area Office
- Preston (Preston, North West)
- Release Period
- March 2016 to August 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 94.7%
Average MOT Pass Rate
Based on 19 historical tests
Common Colors
Active Plates in PA16R Series(7 of 7 displayed)
FIAT 500
0.9L · Petrol · Red
- First Used
- Feb 2019
- MOT Expiry
- 03 Apr 2027
- Tax Status
- —
- Color
- Red
RENAULT CLIO ESPRIT ALPINE ETECH HEV A
Hybrid Electric (Clean) · Blue
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN T-ROC R TSI 4MOTION S-A
2.0L · PETROL · BLUE
- First Used
- Sep 2022
- MOT Expiry
- 26 Aug 2027
- Tax Status
- —
- Color
- BLUE
PEUGEOT 3008
2.0L · Diesel · Grey
- First Used
- Mar 2017
- MOT Expiry
- 28 Mar 2026
- Tax Status
- —
- Color
- Grey
VOLVO XC60 + B5 MHEV AWD AUTO
Hybrid Electric (Clean) · Grey
- First Used
- Sep 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
FIAT BURSTNER
3.0L · Diesel · White
- First Used
- Jun 2016
- MOT Expiry
- 11 Mar 2027
- Tax Status
- —
- Color
- White
TOYOTA AYGO
1.0L · Petrol · Red
- First Used
- Apr 2018
- MOT Expiry
- 11 Sep 2026
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for PA16R Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PA16R Plates
Where was the PA16R number plate series registered?
Vehicles starting with PA16R were assigned to the Preston covering Preston, North West. The first two letters (PA) identify the memory tag assigned by the DVLA.
What registration period is PA16R?
The PA16R age identifier corresponds to vehicles first registered between March 2016 to August 2016.
How can I check the MOT history of a PA16R 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.