Where was the JX08G number plate registered?

Vehicles with the JX08G prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX08G registration plate released?

The JX08G series was issued during March 2008 to August 2008.

What is the MOT pass rate for JX08G vehicles?

Vehicles in the JX08G cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JX08G Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix JX08G.

Area Office: DVLA Region (JX)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 50% (1)

MITSUBISHI 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in JX08G Series(2 of 2 displayed)

Filter by 6th Letter:

JX08GAV

MOT Valid

MITSUBISHI ASX

1.8L · Diesel · Red

First Used: Sep 2015
MOT Expiry: 11 Jun 2027
Tax Status: —
Color: Red

Check History & Specs

JX08GBN

MOT Valid

FORD FIESTA

1.0L · Petrol · White

First Used: Sep 2016
MOT Expiry: 31 Aug 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JX08G Makes

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

FORD Common Problems MITSUBISHI Common Problems

Frequently Asked Questions about JX08G Plates

Where was the JX08G number plate series registered?

Vehicles starting with JX08G were assigned to the DVLA regional office covering the UK. The first two letters (JX) identify the memory tag assigned by the DVLA.

What registration period is JX08G?

The JX08G age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a JX08G 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.