Where was the TK08O number plate registered?

Vehicles with the TK08O prefix were first registered in the UK through official DVLA regional allocation tag TK.

What year was a TK08O registration plate released?

The TK08O series was issued during March 2008 to August 2008.

What is the MOT pass rate for TK08O vehicles?

Vehicles in the TK08O cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TK08O Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix TK08O.

Area Office: DVLA Region (TK)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

PEUGEOT 50% (1)

TOYOTA 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in TK08O Series(2 of 2 displayed)

Filter by 6th Letter:

TK08OOK

MOT Valid

TOYOTA IQ

1.0L · Petrol · White

First Used: Nov 2009
MOT Expiry: 23 Mar 2027
Tax Status: —
Color: White

Check History & Specs

TK08OYD

MOT Valid

PEUGEOT 207

1.4L · Petrol · Red

First Used: Mar 2009
MOT Expiry: 30 Apr 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for TK08O Makes

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

PEUGEOT Common Problems TOYOTA Common Problems

Frequently Asked Questions about TK08O Plates

Where was the TK08O number plate series registered?

Vehicles starting with TK08O 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 TK08O?

The TK08O age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a TK08O 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.