Where was the JM59O number plate registered?

Vehicles with the JM59O prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM59O registration plate released?

The JM59O series was issued during September 2009 to February 2010.

What is the MOT pass rate for JM59O vehicles?

Vehicles in the JM59O cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JM59O Series Number Plates

UK vehicles during September 2009 to February 2010 with registration prefix JM59O.

Area Office: DVLA Region (JM)
Release Period: September 2009 to February 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

HONDA 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in JM59O Series(2 of 2 displayed)

Filter by 6th Letter:

JM59OCT

MOT Valid

HONDA CR-V

2.0L · Petrol · Red

First Used: Apr 2014
MOT Expiry: 09 Oct 2026
Tax Status: —
Color: Red

Check History & Specs

JM59OJM

MOT Expired

FORD KUGA ST-LINE EDITION

Petrol · Silver

First Used: Jul 2023
MOT Expiry: —
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JM59O Makes

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

FORD Common Problems HONDA Common Problems

Frequently Asked Questions about JM59O Plates

Where was the JM59O number plate series registered?

Vehicles starting with JM59O 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 JM59O?

The JM59O age identifier corresponds to vehicles first registered between September 2009 to February 2010.

How can I check the MOT history of a JM59O 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.