Where was the JD18L number plate registered?

Vehicles with the JD18L prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD18L registration plate released?

The JD18L series was issued during March 2018 to August 2018.

What is the MOT pass rate for JD18L vehicles?

Vehicles in the JD18L cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JD18L Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JD18L.

Area Office: DVLA Region (JD)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

AUDI 50% (1)

MERCEDES-BENZ 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Silver1 vehicles

Active Plates in JD18L Series(2 of 2 displayed)

JD18LEE

MOT Valid

AUDI A6

1.8L · Petrol · Black

First Used: Jun 2018
MOT Expiry: 15 May 2027
Tax Status: —
Color: Black

Check History & Specs

JD18LEX

MOT Valid

MERCEDES-BENZ A-CLASS

1.5L · Diesel · Silver

First Used: Jun 2018
MOT Expiry: 25 Jul 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JD18L Makes

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

AUDI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JD18L Plates

Where was the JD18L number plate series registered?

Vehicles starting with JD18L were assigned to the DVLA regional office covering the UK. The first two letters (JD) identify the memory tag assigned by the DVLA.

What registration period is JD18L?

The JD18L age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JD18L 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.