AG64D Series Number Plates
UK vehicles registered in Peterborough, East Anglia during September 2014 to February 2015 with registration prefix AG64D.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87.5%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in AG64D Series(7 of 7 displayed)
MAZDA 3
2.0L · Petrol · Blue
- First Used
- Sep 2014
- MOT Expiry
- 22 Dec 2026
- Tax Status
- —
- Color
- Blue
AUDI A8
3.0L · Diesel · Grey
- First Used
- Mar 2018
- MOT Expiry
- 13 May 2025
- Tax Status
- —
- Color
- Grey
SKODA FABIA
1.0L · Petrol · Blue
- First Used
- Sep 2017
- MOT Expiry
- 14 Sep 2026
- Tax Status
- —
- Color
- Blue
KIA SPORTAGE 2 ISG
1.6L · Petrol · Bronze
- First Used
- Jun 2022
- MOT Expiry
- 27 Jun 2027
- Tax Status
- —
- Color
- Bronze
SKODA KODIAQ SE L IV PHEV S-A
Hybrid Electric (Clean) · Blue
- First Used
- Oct 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
MERCEDES-BENZ ML
2.1L · Diesel · Grey
- First Used
- Sep 2015
- MOT Expiry
- 03 Nov 2026
- Tax Status
- —
- Color
- Grey
JEEP CHEROKEE
2.0L · Diesel · Blue
- First Used
- Apr 2015
- MOT Expiry
- 29 Apr 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for AG64D Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AG64D Plates
Where was the AG64D number plate series registered?
Vehicles starting with AG64D 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 AG64D?
The AG64D age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a AG64D 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.