Where was the TP06O number plate registered?

Vehicles with the TP06O prefix were first registered in the UK through official DVLA regional allocation tag TP.

What year was a TP06O registration plate released?

The TP06O series was issued during March 2006 to August 2006.

What is the MOT pass rate for TP06O vehicles?

Vehicles in the TP06O cohort demonstrate an average historical MOT pass rate of 66.7% based on 3 recorded DVSA inspections.

Batch Prefix Hub

TP06O Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix TP06O.

Area Office: DVLA Region (TP)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 66.7%

Popular Makes

LEXUS 50% (1)

MAZDA 50% (1)

66.7%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TP06O Series(2 of 2 displayed)

Filter by 6th Letter:

TP06ORE

MOT Valid

MAZDA 3

2.0L · Petrol · Black

First Used: Apr 2022
MOT Expiry: 07 Apr 2027
Tax Status: —
Color: Black

Check History & Specs

TP06OWL

MOT Expired

LEXUS LBX PREMIUM + CVT

Hybrid Electric (Clean) · Blue

First Used: Jun 2026
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TP06O Makes

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

LEXUS Common Problems MAZDA Common Problems

Frequently Asked Questions about TP06O Plates

Where was the TP06O number plate series registered?

Vehicles starting with TP06O were assigned to the DVLA regional office covering the UK. The first two letters (TP) identify the memory tag assigned by the DVLA.

What registration period is TP06O?

The TP06O age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a TP06O 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.