Where was the TT67D number plate registered?

Vehicles with the TT67D prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT67D registration plate released?

The TT67D series was issued during September 2017 to February 2018.

What is the MOT pass rate for TT67D vehicles?

Vehicles in the TT67D cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TT67D Series Number Plates

UK vehicles during September 2017 to February 2018 with registration prefix TT67D.

Area Office: DVLA Region (TT)
Release Period: September 2017 to February 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

TRIUMPH 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TT67D Series(2 of 2 displayed)

TT67DAN

MOT Valid

TRIUMPH SPEED TRIPLE

1.1L · Petrol · Grey

First Used: Sep 2017
MOT Expiry: 22 May 2027
Tax Status: —
Color: Grey

Check History & Specs

TT67DAZ

MOT Valid

AUDI TT

2.0L · Petrol · White

First Used: Oct 2017
MOT Expiry: 22 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TT67D Makes

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

AUDI Common Problems TRIUMPH Common Problems

Frequently Asked Questions about TT67D Plates

Where was the TT67D number plate series registered?

Vehicles starting with TT67D were assigned to the DVLA regional office covering the UK. The first two letters (TT) identify the memory tag assigned by the DVLA.

What registration period is TT67D?

The TT67D age identifier corresponds to vehicles first registered between September 2017 to February 2018.

How can I check the MOT history of a TT67D 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.