JP64S Series Number Plates
UK vehicles during September 2014 to February 2015 with registration prefix JP64S.
- Area Office
- DVLA Region (JP)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 72.7%
Average MOT Pass Rate
Based on 11 historical tests
Common Colors
Active Plates in JP64S Series(7 of 7 displayed)
BMW 420I M SPORT AUTO
2.0L · Petrol · Green
- First Used
- Jan 2022
- MOT Expiry
- 21 Jan 2027
- Tax Status
- —
- Color
- Green
FORD FIESTA ACTIVE EDITION T MHEV
Hybrid Electric (Clean) · Black
- First Used
- Feb 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
LAND ROVER R ROVER EVOQUE FIRST ED D A
2.0L · Diesel · Grey
- First Used
- Nov 2019
- MOT Expiry
- 26 Jun 2026
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN TIGUAN ELEGANCE TSI S-A
Petrol · Grey
- First Used
- Jun 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
PORSCHE 911 CARRERA 4 S-A
3.0L · Petrol · Grey
- First Used
- Jun 2023
- MOT Expiry
- 28 Jun 2027
- Tax Status
- —
- Color
- Grey
RENAULT TRAFIC
1.6L · Diesel · Brown
- First Used
- Apr 2016
- MOT Expiry
- 25 Apr 2026
- Tax Status
- —
- Color
- Brown
NISSAN JUKE TEKNA + HEV CVT
Hybrid Electric (Clean) · Blue
- First Used
- Apr 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for JP64S Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JP64S Plates
Where was the JP64S number plate series registered?
Vehicles starting with JP64S were assigned to the DVLA regional office covering the UK. The first two letters (JP) identify the memory tag assigned by the DVLA.
What registration period is JP64S?
The JP64S age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a JP64S 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.