Where was the TR18G number plate registered?

Vehicles with the TR18G prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR18G registration plate released?

The TR18G series was issued during March 2018 to August 2018.

What is the MOT pass rate for TR18G vehicles?

Vehicles in the TR18G cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TR18G Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix TR18G.

Area Office: DVLA Region (TR)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

NISSAN 50% (1)

RENAULT 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in TR18G Series(2 of 2 displayed)

Filter by 6th Letter:

TR18GGR

MOT Valid

RENAULT TRAFIC

1.6L · Diesel · Red

First Used: Feb 2019
MOT Expiry: 19 May 2027
Tax Status: —
Color: Red

Check History & Specs

TR18GTR

MOT Valid

NISSAN GT-R

3.8L · Petrol · Blue

First Used: Jun 2018
MOT Expiry: 17 Jun 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TR18G Makes

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

NISSAN Common Problems RENAULT Common Problems

Frequently Asked Questions about TR18G Plates

Where was the TR18G number plate series registered?

Vehicles starting with TR18G were assigned to the DVLA regional office covering the UK. The first two letters (TR) identify the memory tag assigned by the DVLA.

What registration period is TR18G?

The TR18G age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a TR18G 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.