Where was the UU58M number plate registered?

Vehicles with the UU58M prefix were first registered in the UK through official DVLA regional allocation tag UU.

What year was a UU58M registration plate released?

The UU58M series was issued during September 2008 to February 2009.

What is the MOT pass rate for UU58M vehicles?

Vehicles in the UU58M cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UU58M Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix UU58M.

Area Office: DVLA Region (UU)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

MERCEDES-BENZ 100% (2)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black2 vehicles

Active Plates in UU58M Series(2 of 2 displayed)

Filter by 6th Letter:

UU58MAM

MOT Valid

MERCEDES-BENZ C

6.2L · Petrol · Black

First Used: Mar 2012
MOT Expiry: 12 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

UU58MER

MOT Expired

MERCEDES-BENZ E

3.0L · Petrol · Black

First Used: Mar 2017
MOT Expiry: 24 Mar 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UU58M Makes

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

MERCEDES-BENZ Common Problems

Frequently Asked Questions about UU58M Plates

Where was the UU58M number plate series registered?

Vehicles starting with UU58M were assigned to the DVLA regional office covering the UK. The first two letters (UU) identify the memory tag assigned by the DVLA.

What registration period is UU58M?

The UU58M age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a UU58M 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.