Where was the TV06S number plate registered?

Vehicles with the TV06S prefix were first registered in the UK through official DVLA regional allocation tag TV.

What year was a TV06S registration plate released?

The TV06S series was issued during March 2006 to August 2006.

What is the MOT pass rate for TV06S vehicles?

Vehicles in the TV06S cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TV06S Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix TV06S.

Area Office: DVLA Region (TV)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

NISSAN 50% (1)

SKODA 50% (1)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in TV06S Series(2 of 2 displayed)

Filter by 6th Letter:

TV06SAT

MOT Valid

NISSAN PRIMASTAR

2.0L · Diesel · Blue

First Used: Mar 2014
MOT Expiry: 03 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

TV06SMV

MOT Valid

SKODA SUPERB

2.0L · Diesel · White

First Used: Sep 2014
MOT Expiry: 07 Sep 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TV06S Makes

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

NISSAN Common Problems SKODA Common Problems

Frequently Asked Questions about TV06S Plates

Where was the TV06S number plate series registered?

Vehicles starting with TV06S were assigned to the DVLA regional office covering the UK. The first two letters (TV) identify the memory tag assigned by the DVLA.

What registration period is TV06S?

The TV06S age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a TV06S 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.