Where was the UT08E number plate registered?

Vehicles with the UT08E prefix were first registered in the UK through official DVLA regional allocation tag UT.

What year was a UT08E registration plate released?

The UT08E series was issued during March 2008 to August 2008.

What is the MOT pass rate for UT08E vehicles?

Vehicles in the UT08E cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

UT08E Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix UT08E.

Area Office: DVLA Region (UT)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

BMW 50% (1)

VAUXHALL 50% (1)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in UT08E Series(2 of 2 displayed)

Filter by 6th Letter:

UT08ERT

MOT Valid

VAUXHALL ASTRA

1.6L · Petrol · Silver

First Used: Oct 2009
MOT Expiry: 22 Aug 2027
Tax Status: —
Color: Silver

Check History & Specs

UT08ETH

MOT Valid

BMW X2

2.0L · Petrol · Grey

First Used: Sep 2021
MOT Expiry: 04 Aug 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UT08E Makes

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

BMW Common Problems VAUXHALL Common Problems

Frequently Asked Questions about UT08E Plates

Where was the UT08E number plate series registered?

Vehicles starting with UT08E were assigned to the DVLA regional office covering the UK. The first two letters (UT) identify the memory tag assigned by the DVLA.

What registration period is UT08E?

The UT08E age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a UT08E 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.