JU64B Series Number Plates
UK vehicles during September 2014 to February 2015 with registration prefix JU64B.
- Area Office
- DVLA Region (JU)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88.5%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in JU64B Series(7 of 7 displayed)
RENAULT MASTER
2.3L · DIESEL · GREY
- First Used
- Oct 2014
- MOT Expiry
- 27 Mar 2027
- Tax Status
- Taxed
- Color
- GREY
NISSAN JUKE TEKNA + HEV CVT
1.0L · Hybrid Electric (Clean) · Red
- First Used
- Sep 2026
- MOT Expiry
- 29 Sep 2026
- Tax Status
- —
- Color
- Red
AUDI A3
1.4L · Petrol · White
- First Used
- May 2015
- MOT Expiry
- 18 Feb 2027
- Tax Status
- —
- Color
- White
HYUNDAI TUCSON PREMIUM T-GDI MHEV S-A
1.6L · Hybrid Electric (Clean) · Blue
- First Used
- Jan 2022
- MOT Expiry
- 29 Sep 2027
- Tax Status
- Taxed
- Color
- Blue
NISSAN QASHQAI TEKNA DIG-T MHEV CVT
Hybrid Electric (Clean) · Grey
- First Used
- Dec 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
BMW S 1000
1.0L · Petrol · Red
- First Used
- Apr 2017
- MOT Expiry
- 14 May 2026
- Tax Status
- —
- Color
- Red
JAGUAR E-PACE
2.0L · Diesel · Blue
- First Used
- Jun 2018
- MOT Expiry
- 29 Apr 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for JU64B Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JU64B Plates
Where was the JU64B number plate series registered?
Vehicles starting with JU64B 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 JU64B?
The JU64B age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a JU64B 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.