Where was the TG15H number plate registered?

Vehicles with the TG15H prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG15H registration plate released?

The TG15H series was issued during March 2015 to August 2015.

What is the MOT pass rate for TG15H vehicles?

Vehicles in the TG15H cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TG15H Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix TG15H.

Area Office: DVLA Region (TG)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

PEUGEOT 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in TG15H Series(2 of 2 displayed)

TG15HAN

MOT Valid

PEUGEOT 208 GT LINE PURETECH S/S

1.2L · Petrol · Blue

First Used: Jun 2020
MOT Expiry: 06 Aug 2027
Tax Status: —
Color: Blue

Check History & Specs

TG15HAY

MOT Valid

VOLKSWAGEN AMAROK

2.0L · Diesel · White

First Used: May 2015
MOT Expiry: 15 Feb 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TG15H Makes

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

PEUGEOT Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TG15H Plates

Where was the TG15H number plate series registered?

Vehicles starting with TG15H were assigned to the DVLA regional office covering the UK. The first two letters (TG) identify the memory tag assigned by the DVLA.

What registration period is TG15H?

The TG15H age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a TG15H 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.