Where was the JG18T number plate registered?

Vehicles with the JG18T prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG18T registration plate released?

The JG18T series was issued during March 2018 to August 2018.

What is the MOT pass rate for JG18T vehicles?

Vehicles in the JG18T cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JG18T Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JG18T.

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

Popular Makes

JAGUAR 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JG18T Series(2 of 2 displayed)

JG18TAN

MOT Valid

JAGUAR F-PACE

2.0L · Diesel · Grey

First Used: May 2018
MOT Expiry: 28 May 2027
Tax Status: —
Color: Grey

Check History & Specs

JG18TAR

MOT Valid

MERCEDES-BENZ A-CLASS

1.5L · Diesel · Black

First Used: Jul 2018
MOT Expiry: 26 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JG18T Makes

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

JAGUAR Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JG18T Plates

Where was the JG18T number plate series registered?

Vehicles starting with JG18T were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG18T?

The JG18T age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JG18T 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.