Where was the JM56W number plate registered?

Vehicles with the JM56W prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM56W registration plate released?

The JM56W series was issued during September 2006 to February 2007.

What is the MOT pass rate for JM56W vehicles?

MOT pass rates for JM56W series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JM56W Series Number Plates

UK vehicles during September 2006 to February 2007 with registration prefix JM56W.

Area Office: DVLA Region (JM)
Release Period: September 2006 to February 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

AUDI 50% (1)

HONDA 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in JM56W Series(2 of 2 displayed)

JM56WAR

MOT Valid

AUDI A6

2.0L · Diesel · Silver

First Used: Jul 2015
MOT Expiry: 29 Oct 2026
Tax Status: —
Color: Silver

Check History & Specs

JM56WAT

MOT Expired

HONDA HR-V ADVANCE I-MMD CVT

Hybrid Electric (Clean) · Red

First Used: Jun 2023
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JM56W Makes

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

AUDI Common Problems HONDA Common Problems

Frequently Asked Questions about JM56W Plates

Where was the JM56W number plate series registered?

Vehicles starting with JM56W 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 JM56W?

The JM56W age identifier corresponds to vehicles first registered between September 2006 to February 2007.

How can I check the MOT history of a JM56W 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.