AA63H Series Number Plates
UK vehicles registered in Peterborough, East Anglia during September 2013 to February 2014 with registration prefix AA63H.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- September 2013 to February 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.6%
Average MOT Pass Rate
Based on 23 historical tests
Common Colors
Active Plates in AA63H Series(7 of 7 displayed)
MERCEDES-BENZ C
2.1L · Diesel · White
- First Used
- Jul 2015
- MOT Expiry
- 07 Jan 2027
- Tax Status
- —
- Color
- White
MERCEDES-BENZ C
2.1L · Electric Diesel · Black
- First Used
- Jun 2015
- MOT Expiry
- 21 Jul 2027
- Tax Status
- —
- Color
- Black
LEXUS UX 300E TAKUMI
Electric · Bronze
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Bronze
BMW X1
2.0L · Diesel · White
- First Used
- Apr 2017
- MOT Expiry
- 29 Oct 2026
- Tax Status
- —
- Color
- White
AUDI A1
1.5L · Petrol · Blue
- First Used
- Aug 2020
- MOT Expiry
- 21 Jul 2027
- Tax Status
- —
- Color
- Blue
VAUXHALL ADAM
1.2L · Petrol · White
- First Used
- Mar 2015
- MOT Expiry
- 24 Mar 2027
- Tax Status
- —
- Color
- White
VOLKSWAGEN GOLF
1.6L · Diesel · Red
- First Used
- Nov 2014
- MOT Expiry
- 13 Dec 2026
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for AA63H Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AA63H Plates
Where was the AA63H number plate series registered?
Vehicles starting with AA63H 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 AA63H?
The AA63H age identifier corresponds to vehicles first registered between September 2013 to February 2014.
How can I check the MOT history of a AA63H 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.