Where was the JL66N number plate registered?

Vehicles with the JL66N prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL66N registration plate released?

The JL66N series was issued during September 2016 to February 2017.

What is the MOT pass rate for JL66N vehicles?

Vehicles in the JL66N cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JL66N Series Number Plates

UK vehicles during September 2016 to February 2017 with registration prefix JL66N.

Area Office: DVLA Region (JL)
Release Period: September 2016 to February 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

MAZDA 50% (1)

VAUXHALL 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Blue2 vehicles

Active Plates in JL66N Series(2 of 2 displayed)

Filter by 6th Letter:

JL66NAN

MOT Valid

VAUXHALL CROSSLAND

1.2L · Petrol · Blue

First Used: Jun 2019
MOT Expiry: 21 Jan 2027
Tax Status: —
Color: Blue

Check History & Specs

JL66NET

MOT Valid

MAZDA 6

2.2L · Diesel · Blue

First Used: Oct 2016
MOT Expiry: 30 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JL66N Makes

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

MAZDA Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JL66N Plates

Where was the JL66N number plate series registered?

Vehicles starting with JL66N 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 JL66N?

The JL66N age identifier corresponds to vehicles first registered between September 2016 to February 2017.

How can I check the MOT history of a JL66N 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.