AR66M Series Number Plates
UK vehicles registered in Norwich, East Anglia during September 2016 to February 2017 with registration prefix AR66M.
- Area Office
- Norwich (Norwich, East Anglia)
- Release Period
- September 2016 to February 2017
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90.5%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in AR66M Series(7 of 7 displayed)
MERCEDES-BENZ GLC 300 AMG LN PREM+ MHEV 4M A
2.0L · Hybrid Electric (Clean) · Red
- First Used
- Jan 2023
- MOT Expiry
- 30 Jan 2027
- Tax Status
- —
- Color
- Red
VOLVO EX90 ULTRA AWD
Electric · Grey
- First Used
- Apr 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
ALFA ROMEO GIULIA
2.1L · Diesel · White
- First Used
- Nov 2016
- MOT Expiry
- 08 Feb 2027
- Tax Status
- —
- Color
- White
SUZUKI VITARA
1.6L · Petrol · Red
- First Used
- Oct 2017
- MOT Expiry
- 24 Jun 2027
- Tax Status
- —
- Color
- Red
BMW X5
3.0L · Diesel · Grey
- First Used
- Dec 2016
- MOT Expiry
- 11 Sep 2026
- Tax Status
- —
- Color
- Grey
HYUNDAI IONIQ 5 ULTIMATE EV
Electric · Grey
- First Used
- Oct 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN TIGUAN
2.0L · Diesel · Blue
- First Used
- Nov 2017
- MOT Expiry
- 03 Nov 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for AR66M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AR66M Plates
Where was the AR66M number plate series registered?
Vehicles starting with AR66M were assigned to the Norwich covering Norwich, East Anglia. The first two letters (AR) identify the memory tag assigned by the DVLA.
What registration period is AR66M?
The AR66M age identifier corresponds to vehicles first registered between September 2016 to February 2017.
How can I check the MOT history of a AR66M 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.