Where was the JM62E number plate registered?

Vehicles with the JM62E prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM62E registration plate released?

The JM62E series was issued during September 2012 to February 2013.

What is the MOT pass rate for JM62E vehicles?

Vehicles in the JM62E cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JM62E Series Number Plates

UK vehicles during September 2012 to February 2013 with registration prefix JM62E.

Area Office: DVLA Region (JM)
Release Period: September 2012 to February 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

MAZDA 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JM62E Series(2 of 2 displayed)

Filter by 6th Letter:

JM62EEN

MOT Valid

BMW 420

2.0L · Diesel · Black

First Used: Jun 2015
MOT Expiry: 10 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

JM62ELL

MOT Valid

MAZDA CX-5

2.0L · Petrol · White

First Used: Feb 2018
MOT Expiry: 13 Feb 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JM62E Makes

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

BMW Common Problems MAZDA Common Problems

Frequently Asked Questions about JM62E Plates

Where was the JM62E number plate series registered?

Vehicles starting with JM62E 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 JM62E?

The JM62E age identifier corresponds to vehicles first registered between September 2012 to February 2013.

How can I check the MOT history of a JM62E 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.