PB16J Series Number Plates
UK vehicles registered in Preston, North West during March 2016 to August 2016 with registration prefix PB16J.
- Area Office
- Preston (Preston, North West)
- Release Period
- March 2016 to August 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.1%
Average MOT Pass Rate
Based on 28 historical tests
Common Colors
Active Plates in PB16J Series(7 of 7 displayed)
MERCEDES-BENZ E
2.1L · Diesel · Grey
- First Used
- Apr 2016
- MOT Expiry
- 28 Apr 2027
- Tax Status
- —
- Color
- Grey
MINI JOHN COOPER WORKS
2.0L · Petrol · Black
- First Used
- Sep 2022
- MOT Expiry
- 08 Sep 2027
- Tax Status
- —
- Color
- Black
SKODA CITIGO
1.0L · Petrol · White
- First Used
- Mar 2016
- MOT Expiry
- 09 Mar 2027
- Tax Status
- —
- Color
- White
RENAULT CAPTUR
0.9L · Petrol · Blue
- First Used
- Jun 2016
- MOT Expiry
- 09 Oct 2026
- Tax Status
- —
- Color
- Blue
LAND ROVER DISCOVERY SPORT
2.0L · Diesel · Black
- First Used
- Apr 2017
- MOT Expiry
- 15 Apr 2027
- Tax Status
- —
- Color
- Black
BMW 330
2.0L · Hybrid Electric (Clean) · Grey
- First Used
- Mar 2020
- MOT Expiry
- 08 Mar 2027
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN TIGUAN
1.5L · Petrol · Black
- First Used
- Jul 2021
- MOT Expiry
- 06 Aug 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for PB16J Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PB16J Plates
Where was the PB16J number plate series registered?
Vehicles starting with PB16J were assigned to the Preston covering Preston, North West. The first two letters (PB) identify the memory tag assigned by the DVLA.
What registration period is PB16J?
The PB16J age identifier corresponds to vehicles first registered between March 2016 to August 2016.
How can I check the MOT history of a PB16J 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.