Where was the JL18U number plate registered?

Vehicles with the JL18U prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL18U registration plate released?

The JL18U series was issued during March 2018 to August 2018.

What is the MOT pass rate for JL18U vehicles?

Vehicles in the JL18U cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JL18U Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JL18U.

Area Office: DVLA Region (JL)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

CITROEN 50% (1)

JAGUAR 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JL18U Series(2 of 2 displayed)

Filter by 6th Letter:

JL18UCY

MOT Valid

CITROEN C3

1.2L · Petrol · Grey

First Used: Mar 2019
MOT Expiry: 28 Feb 2027
Tax Status: —
Color: Grey

Check History & Specs

JL18URT

TaxedMOT Valid

JAGUAR XF

2.0L · Diesel · Black

First Used: Jan 2020
MOT Expiry: 02 Feb 2027
Tax Status: Taxed
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JL18U Makes

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

CITROEN Common Problems JAGUAR Common Problems

Frequently Asked Questions about JL18U Plates

Where was the JL18U number plate series registered?

Vehicles starting with JL18U 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 JL18U?

The JL18U age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JL18U 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.