GT52A Series Number Plates
UK vehicles registered in Canterbury, Kent during September 2002 to February 2003 with registration prefix GT52A.
- Area Office
- Canterbury (Canterbury, Kent)
- Release Period
- September 2002 to February 2003
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 85.7%
Average MOT Pass Rate
Based on 28 historical tests
Common Colors
Active Plates in GT52A Series(7 of 7 displayed)
PORSCHE CAYMAN
4.0L · Petrol · Green
- First Used
- Oct 2021
- MOT Expiry
- 23 Sep 2027
- Tax Status
- Taxed
- Color
- Green
SSANGYONG KORANDO
2.2L · Diesel · Red
- First Used
- Nov 2015
- MOT Expiry
- 30 Nov 2026
- Tax Status
- Taxed
- Color
- Red
PORSCHE CARRERA 4S
3.6L · Petrol · Silver
- First Used
- Nov 2002
- MOT Expiry
- 20 Jul 2025
- Tax Status
- SORN
- Color
- Silver
AUDI A4
4.2L · Petrol · Grey
- First Used
- Mar 2014
- MOT Expiry
- 10 Jul 2027
- Tax Status
- Taxed
- Color
- Grey
FORD MUSTANG
5.0L · Petrol · Blue
- First Used
- Jun 2016
- MOT Expiry
- 17 Dec 2026
- Tax Status
- Taxed
- Color
- Blue
NISSAN QASHQAI
1.3L · Petrol · White
- First Used
- Jun 2019
- MOT Expiry
- 12 Jun 2027
- Tax Status
- —
- Color
- White
JAECOO 7 LUXURY PHEV AUTO
Hybrid Electric (Clean) · White
- First Used
- Mar 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for GT52A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GT52A Plates
Where was the GT52A number plate series registered?
Vehicles starting with GT52A were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GT) identify the memory tag assigned by the DVLA.
What registration period is GT52A?
The GT52A age identifier corresponds to vehicles first registered between September 2002 to February 2003.
How can I check the MOT history of a GT52A 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.