Where was the UM56A number plate registered?

Vehicles with the UM56A prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM56A registration plate released?

The UM56A series was issued during September 2006 to February 2007.

What is the MOT pass rate for UM56A vehicles?

Vehicles in the UM56A cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UM56A Series Number Plates

UK vehicles during September 2006 to February 2007 with registration prefix UM56A.

Area Office: DVLA Region (UM)
Release Period: September 2006 to February 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

SEAT 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in UM56A Series(2 of 2 displayed)

Filter by 6th Letter:

UM56ARR

MOT Valid

SEAT LEON

1.6L · Diesel · Grey

First Used: Jun 2015
MOT Expiry: 04 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

UM56AYR

MOT Valid

FORD FIESTA

1.0L · Petrol · Blue

First Used: Aug 2019
MOT Expiry: 31 Aug 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UM56A Makes

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

FORD Common Problems SEAT Common Problems

Frequently Asked Questions about UM56A Plates

Where was the UM56A number plate series registered?

Vehicles starting with UM56A 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 UM56A?

The UM56A age identifier corresponds to vehicles first registered between September 2006 to February 2007.

How can I check the MOT history of a UM56A 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.