Where was the UJ05M number plate registered?

Vehicles with the UJ05M prefix were first registered in the UK through official DVLA regional allocation tag UJ.

What year was a UJ05M registration plate released?

The UJ05M series was issued during March 2005 to August 2005.

What is the MOT pass rate for UJ05M vehicles?

Vehicles in the UJ05M cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

UJ05M Series Number Plates

UK vehicles during March 2005 to August 2005 with registration prefix UJ05M.

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

Popular Makes

SKODA 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in UJ05M Series(2 of 2 displayed)

Filter by 6th Letter:

UJ05MCG

MOT Valid

VOLKSWAGEN GOLF

2.0L · Petrol · Blue

First Used: Feb 2015
MOT Expiry: 11 May 2027
Tax Status: —
Color: Blue

Check History & Specs

UJ05MUL

MOT Valid

SKODA KODIAQ

2.0L · Diesel · Grey

First Used: Jul 2021
MOT Expiry: 05 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UJ05M Makes

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

SKODA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UJ05M Plates

Where was the UJ05M number plate series registered?

Vehicles starting with UJ05M were assigned to the DVLA regional office covering the UK. The first two letters (UJ) identify the memory tag assigned by the DVLA.

What registration period is UJ05M?

The UJ05M age identifier corresponds to vehicles first registered between March 2005 to August 2005.

How can I check the MOT history of a UJ05M 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.