Where was the JL06X number plate registered?

Vehicles with the JL06X prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL06X registration plate released?

The JL06X series was issued during March 2006 to August 2006.

What is the MOT pass rate for JL06X vehicles?

Vehicles in the JL06X cohort demonstrate an average historical MOT pass rate of 100% based on 8 recorded DVSA inspections.

Batch Prefix Hub

JL06X Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix JL06X.

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

Popular Makes

JAGUAR 50% (1)

SKODA 50% (1)

100%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JL06X Series(2 of 2 displayed)

Filter by 6th Letter:

JL06XKR

MOT Valid

JAGUAR XKR

4.2L · Petrol · Blue

First Used: Jul 2006
MOT Expiry: 18 Sep 2027
Tax Status: —
Color: Blue

Check History & Specs

JL06XXX

MOT Expired

SKODA CITIGO

1.0L · Petrol · White

First Used: Sep 2013
MOT Expiry: 10 Nov 2024
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JL06X Makes

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

JAGUAR Common Problems SKODA Common Problems

Frequently Asked Questions about JL06X Plates

Where was the JL06X number plate series registered?

Vehicles starting with JL06X were assigned to the DVLA regional office covering the UK. The first two letters (JL) identify the memory tag assigned by the DVLA.

What registration period is JL06X?

The JL06X age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a JL06X 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.