Where was the TY16T number plate registered?

Vehicles with the TY16T prefix were first registered in the UK through official DVLA regional allocation tag TY.

What year was a TY16T registration plate released?

The TY16T series was issued during March 2016 to August 2016.

What is the MOT pass rate for TY16T vehicles?

Vehicles in the TY16T cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TY16T Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TY16T.

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

Popular Makes

KIA 50% (1)

RENAULT 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TY16T Series(2 of 2 displayed)

Filter by 6th Letter:

TY16TUC

MOT Valid

KIA SPORTAGE

1.6L · Petrol · White

First Used: Mar 2018
MOT Expiry: 03 Apr 2027
Tax Status: —
Color: White

Check History & Specs

TY16TYE

MOT Valid

RENAULT KADJAR

1.5L · Diesel · Grey

First Used: Aug 2019
MOT Expiry: 04 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TY16T Makes

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

KIA Common Problems RENAULT Common Problems

Frequently Asked Questions about TY16T Plates

Where was the TY16T number plate series registered?

Vehicles starting with TY16T 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 TY16T?

The TY16T age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TY16T 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.