Where was the JX07S number plate registered?

Vehicles with the JX07S prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX07S registration plate released?

The JX07S series was issued during March 2007 to August 2007.

What is the MOT pass rate for JX07S vehicles?

Vehicles in the JX07S cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JX07S Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JX07S.

Area Office: DVLA Region (JX)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

FORD 50% (1)

MERCEDES-BENZ 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JX07S Series(2 of 2 displayed)

JX07SAM

MOT Valid

FORD FIESTA

1.0L · Petrol · White

First Used: Jun 2018
MOT Expiry: 23 Apr 2026
Tax Status: —
Color: White

Check History & Specs

JX07SAZ

MOT Valid

MERCEDES-BENZ SLK

3.0L · Petrol · Black

First Used: May 2008
MOT Expiry: 11 Jul 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JX07S Makes

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

FORD Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JX07S Plates

Where was the JX07S number plate series registered?

Vehicles starting with JX07S 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 JX07S?

The JX07S age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JX07S 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.