Where was the UO09M number plate registered?

Vehicles with the UO09M prefix were first registered in the UK through official DVLA regional allocation tag UO.

What year was a UO09M registration plate released?

The UO09M series was issued during March 2009 to August 2009.

What is the MOT pass rate for UO09M vehicles?

Vehicles in the UO09M cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UO09M Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix UO09M.

Area Office: DVLA Region (UO)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

RENAULT 50% (1)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

BLACK2 vehicles

Active Plates in UO09M Series(2 of 2 displayed)

Filter by 6th Letter:

UO09MAM

TaxedMOT Valid

AUDI A5

2.0L · PETROL · BLACK

First Used: May 2009
MOT Expiry: 21 Nov 2026
Tax Status: Taxed
Color: BLACK

Check History & Specs

UO09MEG

TaxedMOT Valid

RENAULT CLIO

1.5L · DIESEL · BLACK

First Used: Nov 2017
MOT Expiry: 06 Oct 2026
Tax Status: Taxed
Color: BLACK

Check History & Specs

Reliability & Common Problem Guides for UO09M Makes

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

AUDI Common Problems RENAULT Common Problems

Frequently Asked Questions about UO09M Plates

Where was the UO09M number plate series registered?

Vehicles starting with UO09M were assigned to the DVLA regional office covering the UK. The first two letters (UO) identify the memory tag assigned by the DVLA.

What registration period is UO09M?

The UO09M age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a UO09M 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.