Where was the UM07B number plate registered?

Vehicles with the UM07B prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM07B registration plate released?

The UM07B series was issued during March 2007 to August 2007.

What is the MOT pass rate for UM07B vehicles?

Vehicles in the UM07B cohort demonstrate an average historical MOT pass rate of 60% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UM07B Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix UM07B.

Area Office: DVLA Region (UM)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

TOYOTA 50% (1)

VOLKSWAGEN 50% (1)

60%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in UM07B Series(2 of 2 displayed)

Filter by 6th Letter:

UM07BBY

MOT Expired

VOLKSWAGEN POLO LIFE TSI

Petrol · Blue

First Used: Dec 2023
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

UM07BEN

MOT Valid

TOYOTA AYGO

1.0L · Petrol · Black

First Used: Mar 2007
MOT Expiry: 19 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UM07B Makes

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

TOYOTA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UM07B Plates

Where was the UM07B number plate series registered?

Vehicles starting with UM07B 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 UM07B?

The UM07B age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a UM07B 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.