Where was the TR09Y number plate registered?

Vehicles with the TR09Y prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR09Y registration plate released?

The TR09Y series was issued during March 2009 to August 2009.

What is the MOT pass rate for TR09Y vehicles?

Vehicles in the TR09Y cohort demonstrate an average historical MOT pass rate of 87.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

TR09Y Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix TR09Y.

Area Office: DVLA Region (TR)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 87.5%

Popular Makes

AUDI 50% (1)

YAMAHA 50% (1)

87.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in TR09Y Series(2 of 2 displayed)

Filter by 6th Letter:

TR09YAM

MOT Valid

YAMAHA FZ1 N

1.0L · Petrol · Grey

First Used: Aug 2009
MOT Expiry: 06 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

TR09YNR

MOT Valid

AUDI A3

1.8L · Petrol · Black

First Used: Nov 2009
MOT Expiry: 14 Sep 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TR09Y Makes

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

AUDI Common Problems YAMAHA Common Problems

Frequently Asked Questions about TR09Y Plates

Where was the TR09Y number plate series registered?

Vehicles starting with TR09Y 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 TR09Y?

The TR09Y age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a TR09Y 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.