Where was the UM09R number plate registered?

Vehicles with the UM09R prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM09R registration plate released?

The UM09R series was issued during March 2009 to August 2009.

What is the MOT pass rate for UM09R vehicles?

Vehicles in the UM09R cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UM09R Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix UM09R.

Area Office: DVLA Region (UM)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

BMW 50% (1)

FORD 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

BLACK1 vehicles

Silver1 vehicles

Active Plates in UM09R Series(2 of 2 displayed)

Filter by 6th Letter:

UM09RAO

TaxedMOT Valid

BMW X5

2.0L · DIESEL · BLACK

First Used: Oct 2015
MOT Expiry: 10 Sep 2026
Tax Status: Taxed
Color: BLACK

Check History & Specs

UM09RGS

TaxedMOT Valid

FORD EDGE

2.0L · Diesel · Silver

First Used: Jan 2018
MOT Expiry: 16 May 2027
Tax Status: Taxed
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for UM09R Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about UM09R Plates

Where was the UM09R number plate series registered?

Vehicles starting with UM09R 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 UM09R?

The UM09R age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a UM09R 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.