Where was the JL60X number plate registered?

Vehicles with the JL60X prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL60X registration plate released?

The JL60X series was issued during September 2010 to February 2011.

What is the MOT pass rate for JL60X vehicles?

Vehicles in the JL60X cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JL60X Series Number Plates

UK vehicles during September 2010 to February 2011 with registration prefix JL60X.

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

Popular Makes

FORD 50% (1)

SEAT 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Green1 vehicles

Grey1 vehicles

Active Plates in JL60X Series(2 of 2 displayed)

Filter by 6th Letter:

JL60XJL

MOT Valid

SEAT ATECA

1.0L · Petrol · Grey

First Used: Aug 2018
MOT Expiry: 09 Aug 2027
Tax Status: —
Color: Grey

Check History & Specs

JL60XXX

MOT Expired

FORD KUGA ST-LINE X

Petrol · Green

First Used: Apr 2025
MOT Expiry: —
Tax Status: —
Color: Green

Check History & Specs

Reliability & Common Problem Guides for JL60X Makes

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

FORD Common Problems SEAT Common Problems

Frequently Asked Questions about JL60X Plates

Where was the JL60X number plate series registered?

Vehicles starting with JL60X 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 JL60X?

The JL60X age identifier corresponds to vehicles first registered between September 2010 to February 2011.

How can I check the MOT history of a JL60X 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.