Where was the TY17G number plate registered?

Vehicles with the TY17G prefix were first registered in the UK through official DVLA regional allocation tag TY.

What year was a TY17G registration plate released?

The TY17G series was issued during March 2017 to August 2017.

What is the MOT pass rate for TY17G vehicles?

Vehicles in the TY17G cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TY17G Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TY17G.

Area Office: DVLA Region (TY)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

SKODA 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Silver1 vehicles

Active Plates in TY17G Series(2 of 2 displayed)

Filter by 6th Letter:

TY17GER

MOT Valid

SKODA OCTAVIA

2.0L · Diesel · Blue

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

Check History & Specs

TY17GUN

MOT Valid

FORD KUGA

2.0L · Diesel · Silver

First Used: Jun 2017
MOT Expiry: 22 Mar 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TY17G Makes

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

FORD Common Problems SKODA Common Problems

Frequently Asked Questions about TY17G Plates

Where was the TY17G number plate series registered?

Vehicles starting with TY17G were assigned to the DVLA regional office covering the UK. The first two letters (TY) identify the memory tag assigned by the DVLA.

What registration period is TY17G?

The TY17G age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TY17G 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.