Where was the UR09B number plate registered?

Vehicles with the UR09B prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR09B registration plate released?

The UR09B series was issued during March 2009 to August 2009.

What is the MOT pass rate for UR09B vehicles?

Vehicles in the UR09B cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

UR09B Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix UR09B.

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

Popular Makes

LAND ROVER 50% (1)

MINI 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in UR09B Series(2 of 2 displayed)

Filter by 6th Letter:

UR09BAN

MOT Valid

LAND ROVER DEFENDER

2.2L · Diesel · Black

First Used: Mar 2014
MOT Expiry: 21 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

UR09BBY

MOT Valid

MINI COOPER

1.5L · Petrol · Red

First Used: Jun 2017
MOT Expiry: 27 Dec 2026
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for UR09B Makes

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

LAND ROVER Common Problems MINI Common Problems

Frequently Asked Questions about UR09B Plates

Where was the UR09B number plate series registered?

Vehicles starting with UR09B were assigned to the DVLA regional office covering the UK. The first two letters (UR) identify the memory tag assigned by the DVLA.

What registration period is UR09B?

The UR09B age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a UR09B 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.