AG10E Series Number Plates
UK vehicles registered in Peterborough, East Anglia during March 2010 to August 2010 with registration prefix AG10E.
- Area Office
- Peterborough (Peterborough, East Anglia)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 85%
Average MOT Pass Rate
Based on 20 historical tests
Common Colors
Active Plates in AG10E Series(7 of 7 displayed)
MG ZS TROPHY HEV AUTO
Hybrid Electric (Clean) · Silver
- First Used
- Jan 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Silver
SUZUKI SWIFT
1.6L · Petrol · White
- First Used
- Aug 2010
- MOT Expiry
- 05 May 2025
- Tax Status
- —
- Color
- White
BMW 218D M SPORT AUTO
2.0L · Diesel · Blue
- First Used
- Oct 2022
- MOT Expiry
- 27 Oct 2026
- Tax Status
- —
- Color
- Blue
BMW X1
2.0L · Diesel · Black
- First Used
- Mar 2016
- MOT Expiry
- 09 Mar 2027
- Tax Status
- —
- Color
- Black
FORD TRANSIT
2.2L · Diesel · White
- First Used
- Feb 2016
- MOT Expiry
- 17 Sep 2026
- Tax Status
- —
- Color
- White
BMW 220 M SPORT MHEV AUTO
Hybrid Electric (Clean) · Purple
- First Used
- Aug 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Purple
NISSAN ELGRAND
3.5L · Petrol · White
- First Used
- Dec 2011
- MOT Expiry
- 15 Mar 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for AG10E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about AG10E Plates
Where was the AG10E number plate series registered?
Vehicles starting with AG10E 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 AG10E?
The AG10E age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a AG10E 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.