PG57S Series Number Plates
UK vehicles registered in Preston, North West during September 2007 to February 2008 with registration prefix PG57S.
- Area Office
- Preston (Preston, North West)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 80.6%
PG57S Cohort Statistics
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in PG57S Series(7 of 7 displayed)
VOLKSWAGEN TOUAREG
3.0L · Diesel · White
- First Used
- Jul 2019
- MOT Expiry
- 12 Jun 2027
- Tax Status
- —
- Color
- White
VOLKSWAGEN GOLF
1.4L · Petrol · Black
- First Used
- Sep 2016
- MOT Expiry
- 31 May 2027
- Tax Status
- —
- Color
- Black
TOYOTA HILUX
2.5L · Diesel · Red
- First Used
- Sep 2007
- MOT Expiry
- 27 Aug 2026
- Tax Status
- —
- Color
- Red
HYUNDAI TUCSON
1.6L · Petrol · Black
- First Used
- Jun 2020
- MOT Expiry
- 22 Feb 2027
- Tax Status
- —
- Color
- Black
CHEVROLET CAPTIVA
2.0L · Diesel · Blue
- First Used
- May 2008
- MOT Expiry
- 15 Nov 2024
- Tax Status
- —
- Color
- Blue
KIA CEED
1.4L · Petrol · White
- First Used
- Sep 2020
- MOT Expiry
- 17 Sep 2027
- Tax Status
- —
- Color
- White
AUDI A3
2.0L · Diesel · Black
- First Used
- Sep 2017
- MOT Expiry
- 17 Sep 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for PG57S Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about PG57S Plates
Where was the PG57S number plate series registered?
Vehicles starting with PG57S were assigned to the Preston covering Preston, North West. The first two letters (PG) identify the memory tag assigned by the DVLA.
What registration period is PG57S?
The PG57S age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a PG57S 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.