Where was the JJ64G number plate registered?

Vehicles with the JJ64G prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ64G registration plate released?

The JJ64G series was issued during September 2014 to February 2015.

What is the MOT pass rate for JJ64G vehicles?

Vehicles in the JJ64G cohort demonstrate an average historical MOT pass rate of 87.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

JJ64G Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JJ64G.

Area Office: DVLA Region (JJ)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 87.5%

Popular Makes

HYUNDAI 50% (1)

VAUXHALL 50% (1)

87.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JJ64G Series(2 of 2 displayed)

Filter by 6th Letter:

JJ64GAS

MOT Valid

HYUNDAI KONA

Electric · White

First Used: Aug 2020
MOT Expiry: 06 Aug 2027
Tax Status: —
Color: White

Check History & Specs

JJ64GCJ

MOT Valid

VAUXHALL MOKKA

1.4L · Petrol · Blue

First Used: May 2018
MOT Expiry: 30 May 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JJ64G Makes

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

HYUNDAI Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JJ64G Plates

Where was the JJ64G number plate series registered?

Vehicles starting with JJ64G were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ64G?

The JJ64G age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JJ64G 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.