GT72G Series Number Plates
UK vehicles registered in Canterbury, Kent during September 2022 to February 2023 with registration prefix GT72G.
- Area Office
- Canterbury (Canterbury, Kent)
- Release Period
- September 2022 to February 2023
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 100%
Average MOT Pass Rate
Based on 5 historical tests
Common Colors
Active Plates in GT72G Series(7 of 7 displayed)
AUDI Q5 S LN VOR 40TDI MHEV QUAT SA
2.0L · Diesel · Green
- First Used
- Dec 2022
- MOT Expiry
- 22 Dec 2026
- Tax Status
- —
- Color
- Green
AUDI E-TRON GT QUATTRO
Electric · Red
- First Used
- Feb 2023
- MOT Expiry
- 08 Feb 2027
- Tax Status
- —
- Color
- Red
PEUGEOT 208 GT MHEV AUTO
1.2L · Hybrid Electric (Clean) · Grey
- First Used
- Jan 2025
- MOT Expiry
- —
- Tax Status
- Taxed
- Color
- Grey
AUDI E-TRON GT QUATTRO
Electric · Red
- First Used
- Dec 2022
- MOT Expiry
- 19 Dec 2026
- Tax Status
- —
- Color
- Red
SUZUKI GSXS 1000 GT+
1.0L · PETROL · BLUE
- First Used
- Sep 2022
- MOT Expiry
- 30 Aug 2026
- Tax Status
- Taxed
- Color
- BLUE
BMW 320
2.0L · Petrol · Black
- First Used
- Nov 2022
- MOT Expiry
- 28 Nov 2026
- Tax Status
- —
- Color
- Black
MAXUS DELIVER 9
Diesel · White
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for GT72G Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GT72G Plates
Where was the GT72G number plate series registered?
Vehicles starting with GT72G 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 GT72G?
The GT72G age identifier corresponds to vehicles first registered between September 2022 to February 2023.
How can I check the MOT history of a GT72G 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.