Where was the JX07O number plate registered?

Vehicles with the JX07O prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX07O registration plate released?

The JX07O series was issued during March 2007 to August 2007.

What is the MOT pass rate for JX07O vehicles?

Vehicles in the JX07O cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JX07O Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JX07O.

Area Office: DVLA Region (JX)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

VOLKSWAGEN 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

RED1 vehicles

White1 vehicles

Active Plates in JX07O Series(2 of 2 displayed)

Filter by 6th Letter:

JX07ONE

MOT Valid

VOLKSWAGEN GOLF S BLUEMOTION TECH TDI

1.6L · Diesel · RED

First Used: Jun 2014
MOT Expiry: 09 Jan 2027
Tax Status: —
Color: RED

Check History & Specs

JX07ORD

MOT Valid

VOLKSWAGEN TRANSPORTER

2.0L · Diesel · White

First Used: Jun 2011
MOT Expiry: 13 Apr 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JX07O Makes

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

VOLKSWAGEN Common Problems

Frequently Asked Questions about JX07O Plates

Where was the JX07O number plate series registered?

Vehicles starting with JX07O 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 JX07O?

The JX07O age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JX07O 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.