Where was the JY15N number plate registered?

Vehicles with the JY15N prefix were first registered in the UK through official DVLA regional allocation tag JY.

What year was a JY15N registration plate released?

The JY15N series was issued during March 2015 to August 2015.

What is the MOT pass rate for JY15N vehicles?

Vehicles in the JY15N cohort demonstrate an average historical MOT pass rate of 60% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JY15N Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix JY15N.

Area Office: DVLA Region (JY)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

FORD 50% (1)

NISSAN 50% (1)

60%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JY15N Series(2 of 2 displayed)

Filter by 6th Letter:

JY15NNY

MOT Valid

NISSAN JUKE

1.6L · Petrol · Black

First Used: Jul 2015
MOT Expiry: 02 Jul 2027
Tax Status: —
Color: Black

Check History & Specs

JY15NTY

MOT Valid

FORD FIESTA

1.5L · Diesel · White

First Used: Nov 2016
MOT Expiry: 03 Jun 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JY15N Makes

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

FORD Common Problems NISSAN Common Problems

Frequently Asked Questions about JY15N Plates

Where was the JY15N number plate series registered?

Vehicles starting with JY15N were assigned to the DVLA regional office covering the UK. The first two letters (JY) identify the memory tag assigned by the DVLA.

What registration period is JY15N?

The JY15N age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a JY15N 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.