Where was the JJ07X number plate registered?

Vehicles with the JJ07X prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ07X registration plate released?

The JJ07X series was issued during March 2007 to August 2007.

What is the MOT pass rate for JJ07X vehicles?

Vehicles in the JJ07X cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JJ07X Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JJ07X.

Area Office: DVLA Region (JJ)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

JAGUAR 50% (1)

NISSAN 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JJ07X Series(2 of 2 displayed)

Filter by 6th Letter:

JJ07XJJ

MOT Valid

NISSAN JUKE

1.2L · Petrol · White

First Used: Jun 2015
MOT Expiry: 22 Sep 2026
Tax Status: —
Color: White

Check History & Specs

JJ07XKR

MOT Valid

JAGUAR XKR

4.2L · Petrol · Grey

First Used: Apr 2007
MOT Expiry: 27 May 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JJ07X Makes

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

JAGUAR Common Problems NISSAN Common Problems

Frequently Asked Questions about JJ07X Plates

Where was the JJ07X number plate series registered?

Vehicles starting with JJ07X 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 JJ07X?

The JJ07X age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JJ07X 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.