Where was the JM07U number plate registered?

Vehicles with the JM07U prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM07U registration plate released?

The JM07U series was issued during March 2007 to August 2007.

What is the MOT pass rate for JM07U vehicles?

Vehicles in the JM07U cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JM07U Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JM07U.

Area Office: DVLA Region (JM)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JM07U Series(2 of 2 displayed)

Filter by 6th Letter:

JM07UTM

MOT Valid

AUDI A1

1.4L · Petrol · White

First Used: Feb 2018
MOT Expiry: 08 Oct 2026
Tax Status: —
Color: White

Check History & Specs

JM07UUU

MOT Valid

MERCEDES-BENZ CLK

Petrol · Black

First Used: Jul 2007
MOT Expiry: 16 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JM07U Makes

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

AUDI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JM07U Plates

Where was the JM07U number plate series registered?

Vehicles starting with JM07U were assigned to the DVLA regional office covering the UK. The first two letters (JM) identify the memory tag assigned by the DVLA.

What registration period is JM07U?

The JM07U age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JM07U 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.