JN53H Series Number Plates
UK vehicles during September 2003 to February 2004 with registration prefix JN53H.
- Area Office
- DVLA Region (JN)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.2%
JN53H Cohort Statistics
Average MOT Pass Rate
Based on 16 historical tests
Common Colors
Active Plates in JN53H Series(7 of 7 displayed)
SUBARU XV
2.0L · Petrol · Red
- First Used
- Jan 2017
- MOT Expiry
- 08 Jan 2027
- Tax Status
- —
- Color
- Red
RENAULT CAPTUR ESPRT ALPNE ETECH HEV A
Hybrid Electric (Clean) · Red
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
BMW Z4
2.0L · Petrol · Silver
- First Used
- Sep 2005
- MOT Expiry
- 21 Apr 2026
- Tax Status
- —
- Color
- Silver
RENAULT CLIO ICONIC TCE
1.0L · Petrol · Black
- First Used
- Nov 2021
- MOT Expiry
- 12 Jul 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ EQC 400 AMG LINE PREMIUM + 4M
Electric · Grey
- First Used
- Jun 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
TOYOTA AYGO X EDGE VVT-I
1.0L · Petrol · Green
- First Used
- Jun 2022
- MOT Expiry
- 12 Jun 2027
- Tax Status
- —
- Color
- Green
BMW 218D M SPORT AUTO
2.0L · Diesel · Blue
- First Used
- May 2022
- MOT Expiry
- 29 May 2027
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for JN53H Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JN53H Plates
Where was the JN53H number plate series registered?
Vehicles starting with JN53H 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 JN53H?
The JN53H age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a JN53H 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.