Where was the JD18T number plate registered?

Vehicles with the JD18T prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD18T registration plate released?

The JD18T series was issued during March 2018 to August 2018.

What is the MOT pass rate for JD18T vehicles?

Vehicles in the JD18T cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JD18T Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JD18T.

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

Popular Makes

FORD 50% (1)

LAND ROVER 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

White2 vehicles

Active Plates in JD18T Series(2 of 2 displayed)

Filter by 6th Letter:

JD18TAR

MOT Valid

FORD TRANSIT

2.0L · Diesel · White

First Used: Feb 2019
MOT Expiry: 22 Mar 2027
Tax Status: —
Color: White

Check History & Specs

JD18TON

MOT Valid

LAND ROVER DISCOVERY SPORT

2.0L · Diesel · White

First Used: May 2018
MOT Expiry: 20 May 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JD18T Makes

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

FORD Common Problems LAND ROVER Common Problems

Frequently Asked Questions about JD18T Plates

Where was the JD18T number plate series registered?

Vehicles starting with JD18T 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 JD18T?

The JD18T age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JD18T 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.