Where was the JH15P number plate registered?

Vehicles with the JH15P prefix were first registered in the UK through official DVLA regional allocation tag JH.

What year was a JH15P registration plate released?

The JH15P series was issued during March 2015 to August 2015.

What is the MOT pass rate for JH15P vehicles?

Vehicles in the JH15P cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JH15P Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix JH15P.

Area Office: DVLA Region (JH)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

MAZDA 50% (1)

MG 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in JH15P Series(2 of 2 displayed)

Filter by 6th Letter:

JH15PJH

MOT Expired

MG 3 SE HEV AUTO

Hybrid Electric (Clean) · Grey

First Used: Apr 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

JH15PMH

MOT Valid

MAZDA CX-5

2.2L · Diesel · Silver

First Used: Mar 2015
MOT Expiry: 13 Jun 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JH15P Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

MAZDA Common Problems MG Common Problems

Frequently Asked Questions about JH15P Plates

Where was the JH15P number plate series registered?

Vehicles starting with JH15P 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 JH15P?

The JH15P age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a JH15P 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.