AA17P Series Number Plates
UK vehicles registered in Peterborough, East Anglia during March 2017 to August 2017 with registration prefix AA17P.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- March 2017 to August 2017
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 86.7%
Average MOT Pass Rate
Based on 30 historical tests
Common Colors
Active Plates in AA17P Series(7 of 7 displayed)
FORD FIESTA
1.0L · Petrol · Blue
- First Used
- Nov 2019
- MOT Expiry
- 16 May 2026
- Tax Status
- —
- Color
- Blue
FORD TRANSIT CUSTOM 280LIMITD EBLUE
2.0L · Diesel · Grey
- First Used
- Sep 2020
- MOT Expiry
- 25 Feb 2027
- Tax Status
- —
- Color
- Grey
NISSAN NV400
2.3L · Diesel · White
- First Used
- Mar 2018
- MOT Expiry
- 10 Apr 2027
- Tax Status
- —
- Color
- White
BMW M240I XDRIVE AUTO
3.0L · Petrol · Purple
- First Used
- Mar 2022
- MOT Expiry
- 14 Sep 2026
- Tax Status
- —
- Color
- Purple
FORD FIESTA
1.1L · Petrol · White
- First Used
- May 2018
- MOT Expiry
- 30 May 2026
- Tax Status
- —
- Color
- White
JAGUAR XE
2.0L · Diesel · Green
- First Used
- Mar 2017
- MOT Expiry
- 22 Mar 2027
- Tax Status
- —
- Color
- Green
NISSAN NAVARA
2.3L · Diesel · Blue
- First Used
- Sep 2017
- MOT Expiry
- 27 Sep 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for AA17P Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AA17P Plates
Where was the AA17P number plate series registered?
Vehicles starting with AA17P were assigned to the Peterborough covering Peterborough, East Anglia. The first two letters (AA) identify the memory tag assigned by the DVLA.
What registration period is AA17P?
The AA17P age identifier corresponds to vehicles first registered between March 2017 to August 2017.
How can I check the MOT history of a AA17P 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.