Where was the TG17D number plate registered?

Vehicles with the TG17D prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG17D registration plate released?

The TG17D series was issued during March 2017 to August 2017.

What is the MOT pass rate for TG17D vehicles?

Vehicles in the TG17D cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TG17D Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TG17D.

Area Office: DVLA Region (TG)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

KIA 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

GREY2 vehicles

Active Plates in TG17D Series(2 of 2 displayed)

Filter by 6th Letter:

TG17DEG

TaxedMOT Valid

KIA STONIC

1.0L · PETROL · GREY

First Used: Mar 2019
MOT Expiry: 11 Apr 2027
Tax Status: Taxed
Color: GREY

Check History & Specs

TG17DUB

TaxedMOT Valid

VOLKSWAGEN TRANSPORTER

2.0L · DIESEL · GREY

First Used: Mar 2017
MOT Expiry: 01 Mar 2027
Tax Status: Taxed
Color: GREY

Check History & Specs

Reliability & Common Problem Guides for TG17D Makes

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

KIA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TG17D Plates

Where was the TG17D number plate series registered?

Vehicles starting with TG17D 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 TG17D?

The TG17D age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TG17D 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.