AM66P Series Number Plates
UK vehicles registered in Peterborough, East Anglia during September 2016 to February 2017 with registration prefix AM66P.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- September 2016 to February 2017
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 74.1%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in AM66P Series(7 of 7 displayed)
VAUXHALL GRANDLAND GS TURBO
Petrol · Grey
- First Used
- May 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ C
2.1L · Diesel · White
- First Used
- Nov 2016
- MOT Expiry
- 20 Oct 2026
- Tax Status
- —
- Color
- White
VOLKSWAGEN PASSAT
2.0L · Diesel · White
- First Used
- Oct 2016
- MOT Expiry
- 03 Sep 2026
- Tax Status
- —
- Color
- White
FORD UNKNOWN
2.7L · Gas Bi-Fuel · Black
- First Used
- Sep 2019
- MOT Expiry
- 21 Sep 2026
- Tax Status
- —
- Color
- Black
FIAT 500X
1.4L · Petrol · Grey
- First Used
- Sep 2016
- MOT Expiry
- 31 Jul 2027
- Tax Status
- —
- Color
- Grey
JAGUAR I-PACE HSE
Electric · Blue
- First Used
- Sep 2021
- MOT Expiry
- 12 Aug 2026
- Tax Status
- —
- Color
- Blue
FORD KUGA
2.0L · Diesel · Black
- First Used
- Sep 2016
- MOT Expiry
- 16 Jul 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for AM66P Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AM66P Plates
Where was the AM66P number plate series registered?
Vehicles starting with AM66P were assigned to the Peterborough covering Peterborough, East Anglia. The first two letters (AM) identify the memory tag assigned by the DVLA.
What registration period is AM66P?
The AM66P age identifier corresponds to vehicles first registered between September 2016 to February 2017.
How can I check the MOT history of a AM66P 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.