Where was the UK07T number plate registered?

Vehicles with the UK07T prefix were first registered in the UK through official DVLA regional allocation tag UK.

What year was a UK07T registration plate released?

The UK07T series was issued during March 2007 to August 2007.

What is the MOT pass rate for UK07T vehicles?

Vehicles in the UK07T cohort demonstrate an average historical MOT pass rate of 75% based on 4 recorded DVSA inspections.

Batch Prefix Hub

UK07T Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix UK07T.

Area Office: DVLA Region (UK)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 75%

Popular Makes

FORD 50% (1)

SEAT 50% (1)

75%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in UK07T Series(2 of 2 displayed)

Filter by 6th Letter:

UK07TJC

MOT Valid

SEAT LEON FR BLACK EDITION TSI EVO

1.5L · Petrol · Blue

First Used: Jul 2020
MOT Expiry: 01 Sep 2026
Tax Status: —
Color: Blue

Check History & Specs

UK07TOW

MOT Valid

FORD RANGER

3.2L · Diesel · White

First Used: Mar 2017
MOT Expiry: 16 Apr 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for UK07T Makes

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

FORD Common Problems SEAT Common Problems

Frequently Asked Questions about UK07T Plates

Where was the UK07T number plate series registered?

Vehicles starting with UK07T were assigned to the DVLA regional office covering the UK. The first two letters (UK) identify the memory tag assigned by the DVLA.

What registration period is UK07T?

The UK07T age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a UK07T 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.