Where was the JM08V number plate registered?

Vehicles with the JM08V prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM08V registration plate released?

The JM08V series was issued during March 2008 to August 2008.

What is the MOT pass rate for JM08V vehicles?

Vehicles in the JM08V cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JM08V Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix JM08V.

Area Office: DVLA Region (JM)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

SKODA 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Silver1 vehicles

Active Plates in JM08V Series(2 of 2 displayed)

Filter by 6th Letter:

JM08VAL

MOT Valid

FORD C-MAX

1.8L · Petrol · Silver

First Used: Mar 2008
MOT Expiry: 01 Apr 2027
Tax Status: —
Color: Silver

Check History & Specs

JM08VJM

MOT Expired

SKODA FABIA DESIGN EDITION TSI

Petrol · Black

First Used: May 2025
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JM08V Makes

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

FORD Common Problems SKODA Common Problems

Frequently Asked Questions about JM08V Plates

Where was the JM08V number plate series registered?

Vehicles starting with JM08V 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 JM08V?

The JM08V age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a JM08V 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.