AB17G Series Number Plates
UK vehicles registered in Peterborough, East Anglia during March 2017 to August 2017 with registration prefix AB17G.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- March 2017 to August 2017
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in AB17G Series(7 of 7 displayed)
BMW 320I SPORT AUTO
2.0L · Petrol · Black
- First Used
- Dec 2020
- MOT Expiry
- 23 Jun 2027
- Tax Status
- —
- Color
- Black
RENAULT TRAFIC
1.6L · Diesel · Silver
- First Used
- Mar 2017
- MOT Expiry
- 26 Apr 2027
- Tax Status
- —
- Color
- Silver
TOYOTA AYGO
1.0L · Petrol · White
- First Used
- Jun 2019
- MOT Expiry
- 15 Oct 2026
- Tax Status
- —
- Color
- White
FORD FIESTA
1.0L · Petrol · Silver
- First Used
- Mar 2018
- MOT Expiry
- 28 Feb 2027
- Tax Status
- —
- Color
- Silver
PEUGEOT 3008
1.6L · Diesel · Grey
- First Used
- Mar 2017
- MOT Expiry
- 02 Jul 2027
- Tax Status
- —
- Color
- Grey
LAND ROVER RANGE ROVER EVOQUE
2.0L · Diesel · Red
- First Used
- Mar 2017
- MOT Expiry
- 14 Sep 2026
- Tax Status
- —
- Color
- Red
FERRARI 488
3.9L · Petrol · Red
- First Used
- Mar 2017
- MOT Expiry
- 17 Jun 2026
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for AB17G Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AB17G Plates
Where was the AB17G number plate series registered?
Vehicles starting with AB17G were assigned to the Peterborough covering Peterborough, East Anglia. The first two letters (AB) identify the memory tag assigned by the DVLA.
What registration period is AB17G?
The AB17G age identifier corresponds to vehicles first registered between March 2017 to August 2017.
How can I check the MOT history of a AB17G 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.