JH64B Series Number Plates
UK vehicles during September 2014 to February 2015 with registration prefix JH64B.
- Area Office
- DVLA Region (JH)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 80.8%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in JH64B Series(7 of 7 displayed)
MERCEDES-BENZ GLE 450 AMG LN PRM D MHEV 4M A
3.0L · ELECTRIC DIESEL · GREY
- First Used
- Mar 2026
- MOT Expiry
- —
- Tax Status
- Taxed
- Color
- GREY
MITSUBISHI OUTLANDER
2.0L · HYBRID ELECTRIC · GREY
- First Used
- Mar 2017
- MOT Expiry
- 18 Feb 2027
- Tax Status
- Taxed
- Color
- GREY
DODGE CHALLENGER
6.4L · PETROL · BLACK
- First Used
- Jan 2015
- MOT Expiry
- 07 Nov 2026
- Tax Status
- Taxed
- Color
- BLACK
BMW 420
2.0L · Petrol · White
- First Used
- Oct 2017
- MOT Expiry
- 30 Oct 2026
- Tax Status
- —
- Color
- White
BMW Z4 SDRIVE20I M SPORT AUTO
2.0L · Petrol · Purple
- First Used
- Oct 2022
- MOT Expiry
- 06 Oct 2026
- Tax Status
- —
- Color
- Purple
MERCEDES-BENZ E
1.9L · Diesel · Grey
- First Used
- Sep 2017
- MOT Expiry
- 22 Aug 2026
- Tax Status
- —
- Color
- Grey
MINI COOPER S
2.0L · Petrol · Grey
- First Used
- May 2015
- MOT Expiry
- 19 Jan 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for JH64B Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JH64B Plates
Where was the JH64B number plate series registered?
Vehicles starting with JH64B were assigned to the DVLA regional office covering the UK. The first two letters (JH) identify the memory tag assigned by the DVLA.
What registration period is JH64B?
The JH64B age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a JH64B 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.