Where was the JM17W number plate registered?

Vehicles with the JM17W prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM17W registration plate released?

The JM17W series was issued during March 2017 to August 2017.

What is the MOT pass rate for JM17W vehicles?

Vehicles in the JM17W cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JM17W Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix JM17W.

Area Office: DVLA Region (JM)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

SEAT 50% (1)

VOLKSWAGEN 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in JM17W Series(2 of 2 displayed)

Filter by 6th Letter:

JM17WBA

MOT Valid

SEAT ARONA

1.0L · Petrol · Red

First Used: Sep 2019
MOT Expiry: 05 Sep 2026
Tax Status: —
Color: Red

Check History & Specs

JM17WJF

MOT Valid

VOLKSWAGEN AMAROK

3.0L · Diesel · White

First Used: Apr 2017
MOT Expiry: 03 Apr 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JM17W Makes

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

SEAT Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JM17W Plates

Where was the JM17W number plate series registered?

Vehicles starting with JM17W 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 JM17W?

The JM17W age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a JM17W 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.