Where was the JX60W number plate registered?

Vehicles with the JX60W prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX60W registration plate released?

The JX60W series was issued during September 2010 to February 2011.

What is the MOT pass rate for JX60W vehicles?

Vehicles in the JX60W cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JX60W Series Number Plates

UK vehicles during September 2010 to February 2011 with registration prefix JX60W.

Area Office: DVLA Region (JX)
Release Period: September 2010 to February 2011
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JX60W Series(2 of 2 displayed)

JX60WER

MOT Valid

AUDI TT

2.0L · Petrol · Black

First Used: Mar 2018
MOT Expiry: 28 Nov 2026
Tax Status: —
Color: Black

Check History & Specs

JX60WES

MOT Valid

VOLKSWAGEN POLO

1.4L · Diesel · Grey

First Used: Apr 2016
MOT Expiry: 04 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JX60W Makes

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

AUDI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JX60W Plates

Where was the JX60W number plate series registered?

Vehicles starting with JX60W were assigned to the DVLA regional office covering the UK. The first two letters (JX) identify the memory tag assigned by the DVLA.

What registration period is JX60W?

The JX60W age identifier corresponds to vehicles first registered between September 2010 to February 2011.

How can I check the MOT history of a JX60W 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.