AB64N Series Number Plates
UK vehicles registered in Peterborough, East Anglia during September 2014 to February 2015 with registration prefix AB64N.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 91.7%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in AB64N Series(7 of 7 displayed)
RENAULT CAPTUR ICONIC TCE
1.0L · Petrol · Red
- First Used
- Jul 2020
- MOT Expiry
- 23 Jan 2027
- Tax Status
- —
- Color
- Red
SEAT MII
1.0L · Petrol · White
- First Used
- Feb 2015
- MOT Expiry
- 20 Sep 2026
- Tax Status
- —
- Color
- White
DACIA DUSTER
1.6L · Petrol · Blue
- First Used
- Mar 2019
- MOT Expiry
- 01 Mar 2027
- Tax Status
- —
- Color
- Blue
BYD DOLPHIN SURF BOOST EV
Electric · White
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
HYUNDAI IONIQ 6 ULTIMATE EV
Electric · Blue
- First Used
- Feb 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
FORD FOCUS
1.5L · Diesel · Blue
- First Used
- Oct 2018
- MOT Expiry
- 28 Oct 2026
- Tax Status
- —
- Color
- Blue
SMART (MCC) FORFOUR
1.0L · Petrol · Silver
- First Used
- May 2017
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for AB64N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AB64N Plates
Where was the AB64N number plate series registered?
Vehicles starting with AB64N were assigned to the Peterborough covering Peterborough, East Anglia. The first two letters (AB) identify the memory tag assigned by the DVLA.
What registration period is AB64N?
The AB64N age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a AB64N 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.