Where was the TR17H number plate registered?

Vehicles with the TR17H prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR17H registration plate released?

The TR17H series was issued during March 2017 to August 2017.

What is the MOT pass rate for TR17H vehicles?

Vehicles in the TR17H cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TR17H Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TR17H.

Area Office: DVLA Region (TR)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

ALFA ROMEO 50% (1)

AUDI 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Orange1 vehicles

Active Plates in TR17H Series(2 of 2 displayed)

Filter by 6th Letter:

TR17HER

MOT Valid

AUDI Q2

1.4L · Petrol · Orange

First Used: Apr 2017
MOT Expiry: 26 Sep 2026
Tax Status: —
Color: Orange

Check History & Specs

TR17HOD

MOT Valid

ALFA ROMEO GIULIA

2.1L · Diesel · Grey

First Used: May 2017
MOT Expiry: 08 Jan 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TR17H Makes

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

ALFA ROMEO Common Problems AUDI Common Problems

Frequently Asked Questions about TR17H Plates

Where was the TR17H number plate series registered?

Vehicles starting with TR17H 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 TR17H?

The TR17H age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TR17H 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.