AG17M Series Number Plates
UK vehicles registered in Peterborough, East Anglia during March 2017 to August 2017 with registration prefix AG17M.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- March 2017 to August 2017
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 91.7%
Average MOT Pass Rate
Based on 12 historical tests
Common Colors
Active Plates in AG17M Series(7 of 7 displayed)
VOLVO XC60 MOMENTUM T5 AWD AUTO
2.0L · Other · GREY
- First Used
- Jan 2019
- MOT Expiry
- 14 Feb 2027
- Tax Status
- —
- Color
- GREY
OMODA 5 NOBLE AUTO
Petrol · White
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
AUDI A1 SPORT 25 TFSI
Petrol · Black
- First Used
- Aug 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
PEUGEOT HORIZON
1.6L · Diesel · Blue
- First Used
- Mar 2017
- MOT Expiry
- 12 Jan 2027
- Tax Status
- —
- Color
- Blue
SKODA KAROQ
1.5L · Petrol · Blue
- First Used
- Aug 2021
- MOT Expiry
- 15 Aug 2027
- Tax Status
- —
- Color
- Blue
JAGUAR I-PACE
Electric · Blue
- First Used
- Mar 2020
- MOT Expiry
- 27 Mar 2027
- Tax Status
- —
- Color
- Blue
HARLEY-DAVIDSON FAT BOB FXDF 103 1690 17
1.7L · Petrol · Black
- First Used
- Mar 2017
- MOT Expiry
- 10 May 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for AG17M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AG17M Plates
Where was the AG17M number plate series registered?
Vehicles starting with AG17M were assigned to the Peterborough covering Peterborough, East Anglia. The first two letters (AG) identify the memory tag assigned by the DVLA.
What registration period is AG17M?
The AG17M age identifier corresponds to vehicles first registered between March 2017 to August 2017.
How can I check the MOT history of a AG17M 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.