Where was the TK06E number plate registered?

Vehicles with the TK06E prefix were first registered in the UK through official DVLA regional allocation tag TK.

What year was a TK06E registration plate released?

The TK06E series was issued during March 2006 to August 2006.

What is the MOT pass rate for TK06E vehicles?

Vehicles in the TK06E cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TK06E Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix TK06E.

Area Office: DVLA Region (TK)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

RENAULT 50% (1)

SKODA 50% (1)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in TK06E Series(2 of 2 displayed)

Filter by 6th Letter:

TK06EDK

MOT Valid

SKODA KODIAQ

2.0L · Diesel · Black

First Used: Mar 2022
MOT Expiry: 29 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

TK06ELL

MOT Valid

RENAULT KOLEOS

2.0L · Diesel · Grey

First Used: Sep 2008
MOT Expiry: 17 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TK06E Makes

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

RENAULT Common Problems SKODA Common Problems

Frequently Asked Questions about TK06E Plates

Where was the TK06E number plate series registered?

Vehicles starting with TK06E were assigned to the DVLA regional office covering the UK. The first two letters (TK) identify the memory tag assigned by the DVLA.

What registration period is TK06E?

The TK06E age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a TK06E 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.