JN04W Series Number Plates
UK vehicles during March 2004 to August 2004 with registration prefix JN04W.
- Area Office
- DVLA Region (JN)
- Release Period
- March 2004 to August 2004
- Tracked in Batch
- 8 vehicles
- MOT Pass Rate
- 75.9%
JN04W Cohort Statistics
Active Plates in JN04W Series(8 of 8 displayed)
MERCEDES-BENZ SLK
2.0L · Petrol · Black
- First Used
- Jun 2004
- MOT Expiry
- 09 Mar 2027
- Tax Status
- —
- Color
- Black
VOLVO V60
2.0L · Diesel · Silver
- First Used
- Oct 2014
- MOT Expiry
- 08 Oct 2026
- Tax Status
- —
- Color
- Silver
NISSAN QASHQAI
1.5L · Diesel · White
- First Used
- Mar 2019
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- White
KIA VENGA
1.6L · Petrol · Red
- First Used
- Nov 2018
- MOT Expiry
- 11 Nov 2026
- Tax Status
- —
- Color
- Red
HONDA HR-V ADVANCE STYLE I-MMD CVT
Hybrid Electric (Clean) · Blue
- First Used
- Jul 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
HYUNDAI TUCSON
1.7L · Diesel · Black
- First Used
- Sep 2015
- MOT Expiry
- 28 Mar 2027
- Tax Status
- —
- Color
- Black
FORD PUMA ST-LINE MHEV
Petrol · Black
- First Used
- Mar 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
BENTLEY CONTINENTAL GT
6.0L · Petrol · Blue
- First Used
- Mar 2019
- MOT Expiry
- 07 May 2025
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for JN04W Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JN04W Plates
Where was the JN04W number plate series registered?
Vehicles starting with JN04W were assigned to the DVLA regional office covering the UK. The first two letters (JN) identify the memory tag assigned by the DVLA.
What registration period is JN04W?
The JN04W age identifier corresponds to vehicles first registered between March 2004 to August 2004.
How can I check the MOT history of a JN04W 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.