Where was the JX06N number plate registered?

Vehicles with the JX06N prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX06N registration plate released?

The JX06N series was issued during March 2006 to August 2006.

What is the MOT pass rate for JX06N vehicles?

Vehicles in the JX06N cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

JX06N Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix JX06N.

Area Office: DVLA Region (JX)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

NISSAN 50% (1)

SEAT 50% (1)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

GREY1 vehicles

White1 vehicles

Active Plates in JX06N Series(2 of 2 displayed)

Filter by 6th Letter:

JX06NAT

MOT Valid

SEAT LEON SE TDI

1.6L · HEAVY OIL · GREY

First Used: May 2015
MOT Expiry: 13 Jul 2027
Tax Status: —
Color: GREY

Check History & Specs

JX06NEW

MOT Valid

NISSAN JUKE

1.6L · Petrol · White

First Used: Mar 2017
MOT Expiry: 15 Jun 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JX06N Makes

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

NISSAN Common Problems SEAT Common Problems

Frequently Asked Questions about JX06N Plates

Where was the JX06N number plate series registered?

Vehicles starting with JX06N 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 JX06N?

The JX06N age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a JX06N 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.