Where was the UM04T number plate registered?

Vehicles with the UM04T prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM04T registration plate released?

The UM04T series was issued during March 2004 to August 2004.

What is the MOT pass rate for UM04T vehicles?

Vehicles in the UM04T cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UM04T Series Number Plates

UK vehicles during March 2004 to August 2004 with registration prefix UM04T.

Area Office: DVLA Region (UM)
Release Period: March 2004 to August 2004
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FIAT 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in UM04T Series(2 of 2 displayed)

Filter by 6th Letter:

UM04TOM

MOT Valid

FIAT DUCATO

2.3L · Diesel · Blue

First Used: May 2016
MOT Expiry: 24 Mar 2027
Tax Status: —
Color: Blue

Check History & Specs

UM04TYS

MOT Expired

FORD RANGER WILDTRAK ECOBLUE 4X4 A

Diesel · Grey

First Used: Oct 2023
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UM04T Makes

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

FIAT Common Problems FORD Common Problems

Frequently Asked Questions about UM04T Plates

Where was the UM04T number plate series registered?

Vehicles starting with UM04T were assigned to the DVLA regional office covering the UK. The first two letters (UM) identify the memory tag assigned by the DVLA.

What registration period is UM04T?

The UM04T age identifier corresponds to vehicles first registered between March 2004 to August 2004.

How can I check the MOT history of a UM04T 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.