JP04F Series Number Plates
UK vehicles during March 2004 to August 2004 with registration prefix JP04F.
- Area Office
- DVLA Region (JP)
- Release Period
- March 2004 to August 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 65.2%
Average MOT Pass Rate
Based on 23 historical tests
Common Colors
Active Plates in JP04F Series(7 of 7 displayed)
MERCEDES-BENZ A-CLASS
1.5L · Diesel · Black
- First Used
- Oct 2018
- MOT Expiry
- 19 Aug 2026
- Tax Status
- —
- Color
- Black
FORD FIESTA ZETEC S TDCI
1.6L · Gas Bi-Fuel · WHITE
- First Used
- Oct 2010
- MOT Expiry
- 09 Sep 2026
- Tax Status
- —
- Color
- WHITE
FORD TRANSIT CUSTOM 320 SPORT EBLUE
Diesel · Grey
- First Used
- Jan 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
NISSAN QASHQAI TEKNA DIG-T MHEV CVT
Hybrid Electric (Clean) · Blue
- First Used
- Feb 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
VAUXHALL CORSA
1.4L · Petrol · Red
- First Used
- May 2016
- MOT Expiry
- 21 Oct 2026
- Tax Status
- —
- Color
- Red
PORSCHE BOXSTER
2.7L · Petrol · Blue
- First Used
- Mar 2008
- MOT Expiry
- 09 Jun 2027
- Tax Status
- —
- Color
- Blue
MERCEDES-BENZ C200 AMG LN NGT ED PREM MHEV A
1.5L · Hybrid Electric (Clean) · Grey
- First Used
- Apr 2021
- MOT Expiry
- 18 Feb 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for JP04F Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JP04F Plates
Where was the JP04F number plate series registered?
Vehicles starting with JP04F 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 JP04F?
The JP04F age identifier corresponds to vehicles first registered between March 2004 to August 2004.
How can I check the MOT history of a JP04F 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.