Where was the TG07O number plate registered?

Vehicles with the TG07O prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG07O registration plate released?

The TG07O series was issued during March 2007 to August 2007.

What is the MOT pass rate for TG07O vehicles?

Vehicles in the TG07O cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TG07O Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix TG07O.

Area Office: DVLA Region (TG)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

HYUNDAI 50% (1)

SEAT 50% (1)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in TG07O Series(2 of 2 displayed)

Filter by 6th Letter:

TG07OMG

MOT Valid

SEAT IBIZA

1.2L · Diesel · Grey

First Used: Sep 2012
MOT Expiry: 26 Aug 2026
Tax Status: —
Color: Grey

Check History & Specs

TG07ONE

MOT Valid

HYUNDAI I800

2.5L · Diesel · Black

First Used: Apr 2013
MOT Expiry: 27 Jan 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TG07O Makes

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

HYUNDAI Common Problems SEAT Common Problems

Frequently Asked Questions about TG07O Plates

Where was the TG07O number plate series registered?

Vehicles starting with TG07O were assigned to the DVLA regional office covering the UK. The first two letters (TG) identify the memory tag assigned by the DVLA.

What registration period is TG07O?

The TG07O age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a TG07O 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.