Where was the JM18T number plate registered?

Vehicles with the JM18T prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM18T registration plate released?

The JM18T series was issued during March 2018 to August 2018.

What is the MOT pass rate for JM18T vehicles?

Vehicles in the JM18T cohort demonstrate an average historical MOT pass rate of 60% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JM18T Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JM18T.

Area Office: DVLA Region (JM)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

FORD 50% (1)

MERCEDES-BENZ 50% (1)

60%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JM18T Series(2 of 2 displayed)

Filter by 6th Letter:

JM18TCH

MOT Valid

FORD RANGER

2.2L · Diesel · Grey

First Used: Mar 2018
MOT Expiry: 31 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

JM18TLM

MOT Valid

MERCEDES-BENZ GLA

1.6L · Petrol · Black

First Used: Sep 2018
MOT Expiry: 05 Jan 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JM18T 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 JM18T Plates

Where was the JM18T number plate series registered?

Vehicles starting with JM18T 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 JM18T?

The JM18T age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JM18T 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.