AG53N Series Number Plates
UK vehicles registered in Peterborough, East Anglia during September 2003 to February 2004 with registration prefix AG53N.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.8%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in AG53N Series(7 of 7 displayed)
BMW 630
3.0L · Petrol · Black
- First Used
- May 2005
- MOT Expiry
- 08 Jul 2026
- Tax Status
- —
- Color
- Black
ROVER STREETWISE
1.4L · Petrol · Green
- First Used
- Nov 2003
- MOT Expiry
- 06 Oct 2023
- Tax Status
- —
- Color
- Green
VAUXHALL COMBO
1.5L · Diesel · Grey
- First Used
- Nov 2019
- MOT Expiry
- 11 Dec 2026
- Tax Status
- —
- Color
- Grey
AUDI A5
2.0L · Petrol · White
- First Used
- Jan 2010
- MOT Expiry
- 29 Sep 2026
- Tax Status
- —
- Color
- White
FORD FIESTA
1.0L · Petrol · Silver
- First Used
- Mar 2019
- MOT Expiry
- 31 Mar 2027
- Tax Status
- —
- Color
- Silver
VOLKSWAGEN TRANSPORTER
1.9L · Diesel · White
- First Used
- Feb 2004
- MOT Expiry
- 11 Jan 2024
- Tax Status
- —
- Color
- White
FORD RANGER
3.2L · Diesel · White
- First Used
- Apr 2018
- MOT Expiry
- 08 Dec 2026
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for AG53N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AG53N Plates
Where was the AG53N number plate series registered?
Vehicles starting with AG53N 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 AG53N?
The AG53N age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a AG53N 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.