Where was the JO65W number plate registered?

Vehicles with the JO65W prefix were first registered in the UK through official DVLA regional allocation tag JO.

What year was a JO65W registration plate released?

The JO65W series was issued during September 2015 to February 2016.

What is the MOT pass rate for JO65W vehicles?

Vehicles in the JO65W cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JO65W Series Number Plates

UK vehicles during September 2015 to February 2016 with registration prefix JO65W.

Area Office: DVLA Region (JO)
Release Period: September 2015 to February 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

KIA 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JO65W Series(2 of 2 displayed)

JO65WAN

MOT Valid

BMW 316

2.0L · Diesel · White

First Used: Sep 2015
MOT Expiry: 31 Jan 2027
Tax Status: —
Color: White

Check History & Specs

JO65WAT

MOT Expired

KIA SPORTAGE GT-LINE MHEV

Hybrid Electric (Clean) · Grey

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JO65W Makes

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

BMW Common Problems KIA Common Problems

Frequently Asked Questions about JO65W Plates

Where was the JO65W number plate series registered?

Vehicles starting with JO65W were assigned to the DVLA regional office covering the UK. The first two letters (JO) identify the memory tag assigned by the DVLA.

What registration period is JO65W?

The JO65W age identifier corresponds to vehicles first registered between September 2015 to February 2016.

How can I check the MOT history of a JO65W 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.