Where was the UM05U number plate registered?

Vehicles with the UM05U prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM05U registration plate released?

The UM05U series was issued during March 2005 to August 2005.

What is the MOT pass rate for UM05U vehicles?

Vehicles in the UM05U cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

UM05U Series Number Plates

UK vehicles during March 2005 to August 2005 with registration prefix UM05U.

Area Office: DVLA Region (UM)
Release Period: March 2005 to August 2005
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

KTM 50% (1)

ZONTES 50% (1)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Black2 vehicles

Active Plates in UM05U Series(2 of 2 displayed)

Filter by 6th Letter:

UM05UMO

MOT Valid

ZONTES ZT 350 GK

0.3L · Petrol · Black

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

Check History & Specs

UM05URS

MOT Valid

KTM 1290 SUPER ADVENTURE S 21

1.3L · Petrol · Black

First Used: Mar 2021
MOT Expiry: 15 May 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UM05U Makes

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

KTM Common Problems ZONTES Common Problems

Frequently Asked Questions about UM05U Plates

Where was the UM05U number plate series registered?

Vehicles starting with UM05U 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 UM05U?

The UM05U age identifier corresponds to vehicles first registered between March 2005 to August 2005.

How can I check the MOT history of a UM05U 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.