Where was the TG17T number plate registered?

Vehicles with the TG17T prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG17T registration plate released?

The TG17T series was issued during March 2017 to August 2017.

What is the MOT pass rate for TG17T vehicles?

Vehicles in the TG17T cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TG17T Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TG17T.

Area Office: DVLA Region (TG)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

FORD 50% (1)

MG 50% (1)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in TG17T Series(2 of 2 displayed)

Filter by 6th Letter:

TG17TAM

MOT Valid

MG ZS EXCLUSIVE VTI-TECH

1.5L · Petrol · Black

First Used: May 2022
MOT Expiry: 29 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

TG17TJG

MOT Valid

FORD TRANSIT

2.0L · Diesel · White

First Used: Aug 2017
MOT Expiry: 01 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TG17T Makes

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

FORD Common Problems MG Common Problems

Frequently Asked Questions about TG17T Plates

Where was the TG17T number plate series registered?

Vehicles starting with TG17T 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 TG17T?

The TG17T age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TG17T 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.