GO57S Series Number Plates
UK vehicles registered in Maidstone, Kent during September 2007 to February 2008 with registration prefix GO57S.
- Area Office
- Maidstone (Maidstone, Kent)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90.9%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in GO57S Series(7 of 7 displayed)
MERCEDES-BENZ SLK
1.8L · Petrol · Silver
- First Used
- Sep 2007
- MOT Expiry
- 30 Sep 2027
- Tax Status
- —
- Color
- Silver
VOLKSWAGEN POLO
1.0L · Petrol · Orange
- First Used
- Jun 2020
- MOT Expiry
- 26 Dec 2026
- Tax Status
- —
- Color
- Orange
FIAT 500
1.2L · Petrol · Yellow
- First Used
- Mar 2016
- MOT Expiry
- 02 Apr 2026
- Tax Status
- —
- Color
- Yellow
NISSAN QASHQAI NCONNCTA DIGT MHEV CVT
Hybrid Electric (Clean) · Grey
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
FORD FIESTA
1.6L · Petrol · Black
- First Used
- Nov 2014
- MOT Expiry
- 18 Sep 2027
- Tax Status
- —
- Color
- Black
FORD FOCUS
2.5L · Petrol · Black
- First Used
- Nov 2007
- MOT Expiry
- 20 May 2027
- Tax Status
- —
- Color
- Black
VOLKSWAGEN TIGUAN
2.0L · Diesel · Grey
- First Used
- Jul 2018
- MOT Expiry
- 21 Apr 2026
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for GO57S Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GO57S Plates
Where was the GO57S number plate series registered?
Vehicles starting with GO57S were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GO) identify the memory tag assigned by the DVLA.
What registration period is GO57S?
The GO57S age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a GO57S 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.