GW57E Series Number Plates
UK vehicles registered in Canterbury, Kent during September 2007 to February 2008 with registration prefix GW57E.
- Area Office
- Canterbury (Canterbury, Kent)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.8%
GW57E Cohort Statistics
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in GW57E Series(7 of 7 displayed)
BMW 3 SERIES
2.0L · Diesel · Silver
- First Used
- Oct 2012
- MOT Expiry
- 03 May 2026
- Tax Status
- —
- Color
- Silver
AUDI Q2
1.5L · Petrol · Grey
- First Used
- Nov 2019
- MOT Expiry
- 28 Nov 2026
- Tax Status
- —
- Color
- Grey
RENAULT CLIO
1.1L · Petrol · White
- First Used
- Sep 2017
- MOT Expiry
- 28 Feb 2027
- Tax Status
- —
- Color
- White
AUDI A4
2.0L · Petrol · Grey
- First Used
- Aug 2020
- MOT Expiry
- 26 Mar 2027
- Tax Status
- —
- Color
- Grey
BMW 218I SE AUTO
1.5L · PETROL · SILVER
- First Used
- Jan 2019
- MOT Expiry
- 28 Apr 2027
- Tax Status
- Taxed
- Color
- SILVER
ASTON MARTIN DBX V8 AUTO
4.0L · Petrol · Grey
- First Used
- May 2021
- MOT Expiry
- 25 Jan 2027
- Tax Status
- —
- Color
- Grey
FIAT DUCATO
3.0L · DIESEL · WHITE
- First Used
- Jan 2008
- MOT Expiry
- 20 Jan 2027
- Tax Status
- Taxed
- Color
- WHITE
Reliability & Common Problem Guides for GW57E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GW57E Plates
Where was the GW57E number plate series registered?
Vehicles starting with GW57E were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GW) identify the memory tag assigned by the DVLA.
What registration period is GW57E?
The GW57E age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a GW57E 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.