Where was the TY15D number plate registered?

Vehicles with the TY15D prefix were first registered in the UK through official DVLA regional allocation tag TY.

What year was a TY15D registration plate released?

The TY15D series was issued during March 2015 to August 2015.

What is the MOT pass rate for TY15D vehicles?

Vehicles in the TY15D cohort demonstrate an average historical MOT pass rate of 71.4% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TY15D Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix TY15D.

Area Office: DVLA Region (TY)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 71.4%

Popular Makes

POLESTAR 50% (1)

SEAT 50% (1)

71.4%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in TY15D Series(2 of 2 displayed)

Filter by 6th Letter:

TY15DAV

MOT Valid

SEAT IBIZA

1.0L · Petrol · Grey

First Used: Oct 2017
MOT Expiry: 20 Aug 2026
Tax Status: —
Color: Grey

Check History & Specs

TY15DEC

MOT Valid

POLESTAR POLESTAR 2 EV FWD

Electric · Blue

First Used: May 2022
MOT Expiry: 20 Nov 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TY15D Makes

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

POLESTAR Common Problems SEAT Common Problems

Frequently Asked Questions about TY15D Plates

Where was the TY15D number plate series registered?

Vehicles starting with TY15D 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 TY15D?

The TY15D age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a TY15D 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.