Where was the JR15G number plate registered?

Vehicles with the JR15G prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR15G registration plate released?

The JR15G series was issued during March 2015 to August 2015.

What is the MOT pass rate for JR15G vehicles?

Vehicles in the JR15G cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JR15G Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix JR15G.

Area Office: DVLA Region (JR)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

FORD 50% (1)

MINI 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JR15G Series(2 of 2 displayed)

Filter by 6th Letter:

JR15GJR

MOT Valid

MINI COOPER S

2.0L · Petrol · Blue

First Used: Mar 2020
MOT Expiry: 16 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

JR15GRR

MOT Valid

FORD FIESTA

1.0L · Petrol · Black

First Used: Jul 2015
MOT Expiry: 12 Sep 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JR15G Makes

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

FORD Common Problems MINI Common Problems

Frequently Asked Questions about JR15G Plates

Where was the JR15G number plate series registered?

Vehicles starting with JR15G were assigned to the DVLA regional office covering the UK. The first two letters (JR) identify the memory tag assigned by the DVLA.

What registration period is JR15G?

The JR15G age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a JR15G 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.