Where was the TR16Y number plate registered?

Vehicles with the TR16Y prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR16Y registration plate released?

The TR16Y series was issued during March 2016 to August 2016.

What is the MOT pass rate for TR16Y vehicles?

Vehicles in the TR16Y cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TR16Y Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TR16Y.

Area Office: DVLA Region (TR)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 50% (1)

VAUXHALL 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TR16Y Series(2 of 2 displayed)

Filter by 6th Letter:

TR16YMR

MOT Valid

FORD S-MAX

2.0L · Diesel · Grey

First Used: Jan 2017
MOT Expiry: 11 Jan 2027
Tax Status: —
Color: Grey

Check History & Specs

TR16YYY

MOT Valid

VAUXHALL INSIGNIA

2.0L · Petrol · White

First Used: Jul 2018
MOT Expiry: 30 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TR16Y Makes

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

FORD Common Problems VAUXHALL Common Problems

Frequently Asked Questions about TR16Y Plates

Where was the TR16Y number plate series registered?

Vehicles starting with TR16Y 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 TR16Y?

The TR16Y age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TR16Y 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.