Where was the JR64W number plate registered?

Vehicles with the JR64W prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR64W registration plate released?

The JR64W series was issued during September 2014 to February 2015.

What is the MOT pass rate for JR64W vehicles?

Vehicles in the JR64W cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JR64W Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JR64W.

Area Office: DVLA Region (JR)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 50% (1)

MINI 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JR64W Series(2 of 2 displayed)

Filter by 6th Letter:

JR64WEN

MOT Valid

MINI ONE

1.5L · Diesel · Blue

First Used: Dec 2014
MOT Expiry: 17 Sep 2027
Tax Status: —
Color: Blue

Check History & Specs

JR64WOR

MOT Valid

FORD FIESTA

1.0L · Petrol · Black

First Used: Mar 2015
MOT Expiry: 12 Jan 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JR64W 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 JR64W Plates

Where was the JR64W number plate series registered?

Vehicles starting with JR64W 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 JR64W?

The JR64W age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JR64W 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.