JU64M Series Number Plates
UK vehicles during September 2014 to February 2015 with registration prefix JU64M.
- Area Office
- DVLA Region (JU)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 100%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in JU64M Series(7 of 7 displayed)
VOLKSWAGEN GOLF
2.0L · Diesel · Black
- First Used
- Jun 2016
- MOT Expiry
- 28 Jan 2027
- Tax Status
- —
- Color
- Black
VOLKSWAGEN GOLF
2.0L · Petrol · Blue
- First Used
- Oct 2019
- MOT Expiry
- 23 Apr 2027
- Tax Status
- —
- Color
- Blue
MERCEDES-BENZ E
2.0L · Petrol · Blue
- First Used
- Oct 2018
- MOT Expiry
- 27 Jan 2027
- Tax Status
- —
- Color
- Blue
MERCEDES-BENZ GLC
2.1L · Diesel · Blue
- First Used
- Mar 2018
- MOT Expiry
- 06 Feb 2027
- Tax Status
- —
- Color
- Blue
LAND ROVER RANGE ROVER EVOQUE R-DYN S D A
2.0L · Diesel · Black
- First Used
- Sep 2019
- MOT Expiry
- 29 Sep 2027
- Tax Status
- —
- Color
- Black
PORSCHE CAYENNE
4.1L · Diesel · Black
- First Used
- Mar 2017
- MOT Expiry
- 09 Jan 2027
- Tax Status
- —
- Color
- Black
FORD KUGA ST-LINE PHEV CVT
2.5L · Hybrid Electric (Clean) · Grey
- First Used
- Jul 2021
- MOT Expiry
- 22 Jul 2026
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for JU64M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JU64M Plates
Where was the JU64M number plate series registered?
Vehicles starting with JU64M were assigned to the DVLA regional office covering the UK. The first two letters (JU) identify the memory tag assigned by the DVLA.
What registration period is JU64M?
The JU64M age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a JU64M 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.