MR64E Series Number Plates
UK vehicles registered in Manchester & Merseyside during September 2014 to February 2015 with registration prefix MR64E.
- Area Office
- Manchester & Merseyside (Manchester & Merseyside)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 80%
Average MOT Pass Rate
Based on 25 historical tests
Common Colors
Active Plates in MR64E Series(7 of 7 displayed)
FORD TRANSIT COURIER LIMITED ECOBST
Petrol · Red
- First Used
- Oct 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
MG GS
1.5L · Petrol · Gold
- First Used
- Jul 2019
- MOT Expiry
- 10 Jul 2026
- Tax Status
- —
- Color
- Gold
TOYOTA AURIS
1.6L · Diesel · Red
- First Used
- Mar 2016
- MOT Expiry
- 28 Jun 2027
- Tax Status
- —
- Color
- Red
BMW M3
3.0L · Petrol · Black
- First Used
- May 2018
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ VITO
2.1L · Diesel · Black
- First Used
- May 2019
- MOT Expiry
- 20 May 2027
- Tax Status
- —
- Color
- Black
KIA SPORTAGE
1.6L · Petrol · Silver
- First Used
- Jun 2016
- MOT Expiry
- 21 Dec 2026
- Tax Status
- —
- Color
- Silver
NISSAN JUKE
1.5L · Diesel · Black
- First Used
- Oct 2014
- MOT Expiry
- 09 Jan 2027
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for MR64E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about MR64E Plates
Where was the MR64E number plate series registered?
Vehicles starting with MR64E were assigned to the Manchester & Merseyside covering Manchester & Merseyside. The first two letters (MR) identify the memory tag assigned by the DVLA.
What registration period is MR64E?
The MR64E age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a MR64E 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.